| 2023 | 4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023). Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2023 | A Consumer Compensation System in Ride-hailing Service. Zhe Yu, Chi Xia, Shaosheng Cao, Lin Zhou, Haibin Huang |
| 2023 | A Critical Reexamination of Intra-List Distance and Dispersion. Naoto Ohsaka, Riku Togashi |
| 2023 | A Data-centric Solution to Improve Online Performance of Customer Service Bots. Sen Hu, Changlin Yang, Junjie Wang, Siye Liu, Teng Xu, Wangshu Zhang, Jing Zheng |
| 2023 | A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang |
| 2023 | A Geometric Framework for Query Performance Prediction in Conversational Search. Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto |
| 2023 | A Lightweight Constrained Generation Alternative for Query-focused Summarization. Zhichao Xu, Daniel Cohen |
| 2023 | A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen |
| 2023 | A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System. Fan Zhang, Qijie Shen |
| 2023 | A Personalized Dense Retrieval Framework for Unified Information Access. Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, Hamed Zamani |
| 2023 | A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation. Daohong Jian, Yang Bao, Jun Zhou, Hua Wu |
| 2023 | A Preference Judgment Tool for Authoritative Assessment. Mahsa Seifikar, Linh Nhi Phan Minh, Negar Arabzadeh, Charles L. A. Clarke, Mark D. Smucker |
| 2023 | A Preference Learning Decoupling Framework for User Cold-Start Recommendation. Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang |
| 2023 | A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals. Daniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus Gross |
| 2023 | A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services. Walid Bendada, Guillaume Salha-Galvan, Thomas Bouabça, Tristan Cazenave |
| 2023 | A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis. Zengzhi Wang, Qiming Xie, Rui Xia |
| 2023 | A Static Pruning Study on Sparse Neural Retrievers. Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto |
| 2023 | A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering. Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani |
| 2023 | A Topic-aware Summarization Framework with Different Modal Side Information. Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang |
| 2023 | A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli |
| 2023 | A Unified Formulation for the Frequency Distribution of Word Frequencies using the Inverse Zipf's Law. Can Özbey, Talha Çolakoglu, M. Safak Bilici, Ekin Can Erkus |
| 2023 | A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2023 | ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction. Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu, Haoyuan Hu |
| 2023 | AMICA: Alleviating Misinformation for Chinese Americans. Xiaoxiao Shang, Ye Chen, Yi Fang, Yuhong Liu, Subramaniam Vincent |
| 2023 | AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin |
| 2023 | AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang |
| 2023 | Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie |
| 2023 | Adapting Learned Sparse Retrieval for Long Documents. Thong Nguyen, Sean MacAvaney, Andrew Yates |
| 2023 | Adaptive Graph Representation Learning for Next POI Recommendation. Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu |
| 2023 | Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang |
| 2023 | Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. Feiteng Fang, Min Yang, Chengming Li, Ruifeng Xu |
| 2023 | Affective Relevance: Inferring Emotional Responses via fNIRS Neuroimaging. Tuukka Ruotsalo, Kalle Mäkelä, Michiel M. A. Spapé, Luis A. Leiva |
| 2023 | Aligning Distillation For Cold-start Item Recommendation. Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen |
| 2023 | Alleviating Matching Bias in Marketing Recommendations. Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu |
| 2023 | Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He |
| 2023 | Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao |
| 2023 | An Effective Framework for Enhancing Query Answering in a Heterogeneous Data Lake. Qin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Shiyuan Tang |
| 2023 | An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification. Washington Cunha, Celso França, Guilherme Fonseca, Leonardo Rocha, Marcos André Gonçalves |
| 2023 | An Empirical Comparison of Web Content Extraction Algorithms. Janek Bevendorff, Sanket Gupta, Johannes Kiesel, Benno Stein |
| 2023 | An Offline Metric for the Debiasedness of Click Models. Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke |
| 2023 | Asymmetric Hashing for Fast Ranking via Neural Network Measures. Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li |
| 2023 | Attacking Pre-trained Recommendation. Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He |
| 2023 | Attention Mixtures for Time-Aware Sequential Recommendation. Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin |
| 2023 | Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. Yan Zhou, Jie Guo, Hao Sun, Bin Song, Fei Richard Yu |
| 2023 | AttriBERT - Session-based Product Attribute Recommendation with BERT. Akshay Jagatap, Nikki Gupta, Sachin Farfade, Prakash Mandayam Comar |
| 2023 | Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. Zhihao Wen, Yuan Fang |
| 2023 | Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval. Shengyao Zhuang, Linjun Shou, Guido Zuccon |
| 2023 | AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu |
| 2023 | AutoTransfer: Instance Transfer for Cross-Domain Recommendations. Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang |
| 2023 | Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe |
| 2023 | BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. Anxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa |
| 2023 | BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction. Yin Deng, Yingxin Chen, Xin Dong, Lingchao Pan, Hai Li, Lei Cheng, Linjian Mo |
| 2023 | BLADE: Combining Vocabulary Pruning and Intermediate Pretraining for Scaleable Neural CLIR. Suraj Nair, Eugene Yang, Dawn J. Lawrie, James Mayfield, Douglas W. Oard |
| 2023 | Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. Shuai Wang, Guido Zuccon |
| 2023 | Bayesian Knowledge-driven Critiquing with Indirect Evidence. Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner |
| 2023 | BeamQA: Multi-hop Knowledge Graph Question Answering with Sequence-to-Sequence Prediction and Beam Search. Farah Atif, Ola El Khatib, Djellel Eddine Difallah |
| 2023 | Behavior Modeling for Point of Interest Search. Haitian Chen, Qingyao Ai, Zhijing Wu, Zhihong Wang, Yiqun Liu, Min Zhang, Shaoping Ma, Juan Hu, Naiqiang Tan, Hua Chai |
| 2023 | Benchmarking Middle-Trained Language Models for Neural Search. Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal |
| 2023 | Best Prompts for Text-to-Image Models and How to Find Them. Nikita Pavlichenko, Dmitry Ustalov |
| 2023 | Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski |
| 2023 | Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang |
| 2023 | Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong |
| 2023 | BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai |
| 2023 | BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha |
| 2023 | BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. David Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie S. Mitchell |
| 2023 | BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains. Petr Babkin, William Watson, Zhiqiang Ma, Lucas Cecchi, Natraj Raman, Armineh Nourbakhsh, Sameena Shah |
| 2023 | Blurring-Sharpening Process Models for Collaborative Filtering. Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho |
| 2023 | Bootstrapping Query Suggestions in Spotify's Instant Search System. Alva Liu, Humberto Jesús Corona Pampín, Enrico Palumbo |
| 2023 | BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo |
| 2023 | Bridging Quantitative and Qualitative Digital Experience Testing. Ranjitha Kumar |
| 2023 | Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li |
| 2023 | Building a Graph-Based Patent Search Engine. Sebastian Björkqvist, Juho Kallio |
| 2023 | CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model. Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin |
| 2023 | COUPA: An Industrial Recommender System for Online to Offline Service Platforms. Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou |
| 2023 | Calibration Learning for Few-shot Novel Product Description. Zheng Liu, Mingjing Wu, Bo Peng, Yichao Liu, Qi Peng, Chong Zou |
| 2023 | Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon |
| 2023 | Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study. Marwah Alaofi, Luke Gallagher, Mark Sanderson, Falk Scholer, Paul Thomas |
| 2023 | Candidate-aware Graph Contrastive Learning for Recommendation. Wei He, Guohao Sun, Jinhu Lu, Xiu Susie Fang |
| 2023 | Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao |
| 2023 | Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao |
| 2023 | Causal Recommendation: Progresses and Future Directions. Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He |
| 2023 | Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu |
| 2023 | Collaborative Residual Metric Learning. Tianjun Wei, Jianghong Ma, Tommy W. S. Chow |
| 2023 | Complex Item Set Recommendation. Mozhdeh Ariannezhad, Ming Li, Sami Jullien, Maarten de Rijke |
| 2023 | Computational Versus Perceived Popularity Miscalibration in Recommender Systems. Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl |
| 2023 | ConQueR: Contextualized Query Reduction using Search Logs. Hye-young Kim, Minjin Choi, Sunkyung Lee, Eunseong Choi, Young-In Song, Jongwuk Lee |
| 2023 | Cone: Unsupervised Contrastive Opinion Extraction. Runcong Zhao, Lin Gui, Yulan He |
| 2023 | Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang |
| 2023 | Constructing Tree-based Index for Efficient and Effective Dense Retrieval. Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao |
| 2023 | Context-Aware Classification of Legal Document Pages. Pavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang |
| 2023 | Context-Aware Modeling via Simulated Exposure Page for CTR Prediction. Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | Contextual Multilingual Spellchecker for User Queries. Sanat Sharma, Josep Valls-Vargas, Tracy Holloway King, François Guerin, Chirag Arora |
| 2023 | Continual Learning on Dynamic Graphs via Parameter Isolation. Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim |
| 2023 | Continuous Input Embedding Size Search For Recommender Systems. Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin |
| 2023 | Contrastive Box Embedding for Collaborative Reasoning. Tingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin |
| 2023 | Contrastive Learning for Conversion Rate Prediction. Wentao Ouyang, Rui Dong, Xiuwu Zhang, Chaofeng Guo, Jinmei Luo, Xiangzheng Liu, Yanlong Du |
| 2023 | Contrastive Learning for Signed Bipartite Graphs. Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang |
| 2023 | Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin |
| 2023 | Conversational Bibliographic Search. Markus Nilles |
| 2023 | Creating a Silver Standard for Patent Simplification. Silvia Casola, Alberto Lavelli, Horacio Saggion |
| 2023 | Cross-Market Product-Related Question Answering. Negin Ghasemi, Mohammad Aliannejadi, Hamed R. Bonab, Evangelos Kanoulas, Arjen P. de Vries, James Allan, Djoerd Hiemstra |
| 2023 | Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He |
| 2023 | Curse of "Low" Dimensionality in Recommender Systems. Naoto Ohsaka, Riku Togashi |
| 2023 | DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo |
| 2023 | DECAF: A Modular and Extensible Conversational Search Framework. Marco Alessio, Guglielmo Faggioli, Nicola Ferro |
| 2023 | DICE: a Dataset of Italian Crime Event news. Giovanni Bonisoli, Maria Pia di Buono, Laura Po, Federica Rollo |
| 2023 | DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning. Tianqi He, Kaiyuan Li, Shan Chen, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang |
| 2023 | DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao |
| 2023 | Data-Aware Proxy Hashing for Cross-modal Retrieval. Rong-Cheng Tu, Xian-Ling Mao, Wenjin Ji, Wei Wei, Heyan Huang |
| 2023 | Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English. Shucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu |
| 2023 | Decomposing Logits Distillation for Incremental Named Entity Recognition. Duzhen Zhang, Yahan Yu, Feilong Chen, Xiuyi Chen |
| 2023 | Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition. Jingyun Xu, Yi Cai |
| 2023 | Defining and Measuring Cost, Effort, and Load in Information Retrieval. Molly McGregor |
| 2023 | Delving into E-Commerce Product Retrieval with Vision-Language Pre-training. Xiaoyang Zheng, Fuyu Lv, Zilong Wang, Qingwen Liu, Xiaoyi Zeng |
| 2023 | Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino |
| 2023 | Dense Passage Retrieval: Architectures and Augmentation Methods. Thilina Rajapakse |
| 2023 | DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of Things. Yimo Ren, Jinfa Wang, Hong Li, Hongsong Zhu, Limin Sun |
| 2023 | Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation. Yuncheng Hua, Xiangyu Xi, Zheng Jiang, Guanwei Zhang, Chaobo Sun, Guanglu Wan, Wei Ye |
| 2023 | Diffusion Recommender Model. Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua |
| 2023 | Dimension-Prompts Boost Commonsense Consolidation. Jiazhan Feng, Chongyang Tao, Tao Shen, Chang Liu, Dongyan Zhao |
| 2023 | DisCover: Disentangled Music Representation Learning for Cover Song Identification. Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu |
| 2023 | Disentangled Contrastive Collaborative Filtering. Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang |
| 2023 | Disentangling User Conversations with Voice Assistants for Online Shopping. Nikhita Vedula, Marcus D. Collins, Oleg Rokhlenko |
| 2023 | Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation. Yuyang Ren, Haonan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2023 | Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert |
| 2023 | Distributionally Robust Sequential Recommnedation. Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen |
| 2023 | Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models. Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen |
| 2023 | DocGraphLM: Documental Graph Language Model for Information Extraction. Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah |
| 2023 | Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao |
| 2023 | Dual Semantic Knowledge Composed Multimodal Dialog Systems. Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua |
| 2023 | Dynamic Graph Evolution Learning for Recommendation. Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li |
| 2023 | Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks. Gaël Poux-Médard, Julien Velcin, Sabine Loudcher |
| 2023 | EDIndex: Enabling Fast Data Queries in Edge Storage Systems. Qiang He, Siyu Tan, Feifei Chen, Xiaolong Xu, Lianyong Qi, Xinhong Hei, Hai Jin, Yun Yang |
| 2023 | EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation. Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu |
| 2023 | Edge-cloud Collaborative Learning with Federated and Centralized Features. Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu |
| 2023 | Editable User Profiles for Controllable Text Recommendations. Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani |
| 2023 | Embedding Based Retrieval in Friend Recommendation. Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu |
| 2023 | EmoUS: Simulating User Emotions in Task-Oriented Dialogues. Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic |
| 2023 | End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang |
| 2023 | Enhancing Dynamic Image Advertising with Vision-Language Pre-training. Zhoufutu Wen, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wei Jia, Xiaodong Chen, Shuanglong Li, Lin Liu |
| 2023 | Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng |
| 2023 | ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments. Siqi Han, Yu Wang, Xuesong Lu |
| 2023 | EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao |
| 2023 | Evaluating Cross-modal Generative Models Using Retrieval Task. Shivangi Bithel, Srikanta Bedathur |
| 2023 | Evaluating Task-oriented Dialogue Systems with Users. Clemencia Siro |
| 2023 | Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking. Wanjie Tao, Huihui Liu, Xuqi Li, Qun Dai, Hong Wen, Zulong Chen |
| 2023 | ExaRanker: Synthetic Explanations Improve Neural Rankers. Fernando Ferraretto, Thiago Soares Laitz, Roberto A. Lotufo, Rodrigo Nogueira |
| 2023 | Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. Kaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer |
| 2023 | Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation. Michael Llordes, Debasis Ganguly, Sumit Bhatia, Chirag Agarwal |
| 2023 | Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks. Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum |
| 2023 | Explainable Information Retrieval. Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, Mandar Mitra |
| 2023 | Exploiting Cluster-Skipping Inverted Index for Semantic Place Retrieval. Enes Recep Cinar, Ismail Sengor Altingovde |
| 2023 | Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond. Paul Owoicho, Ivan Sekulic, Mohammad Aliannejadi, Jeffrey Dalton, Fabio Crestani |
| 2023 | Exploiting Ubiquitous Mentions for Document-Level Relation Extraction. Ruoyu Zhang, Yanzeng Li, Minhao Zhang, Lei Zou |
| 2023 | Exploration of Unranked Items in Safe Online Learning to Re-Rank. Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi |
| 2023 | Exploratory Visualization Tool for the Continuous Evaluation of Information Retrieval Systems. Gabriela González Sáez, Petra Galuscáková, Romain Deveaud, Lorraine Goeuriot, Philippe Mulhem |
| 2023 | Exploring 360-Degree View of Customers for Lookalike Modeling. Md. Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka |
| 2023 | Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. Nícollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano C. M. Pereira, Leonardo Rocha |
| 2023 | Exploring User and Item Representation, Justification Generation, and Data Augmentation for Conversational Recommender Systems. Sergey Volokhin |
| 2023 | Exploring the Spatiotemporal Features of Online Food Recommendation Service. Shaochuan Lin, Jiayan Pei, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu |
| 2023 | Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels. Dan Li, Maarten de Rijke |
| 2023 | Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection. Hsiu-Wei Yang, Abhinav Agrawal |
| 2023 | FINAL: Factorized Interaction Layer for CTR Prediction. Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang |
| 2023 | FLIRT: Federated Learning for Information Retrieval. Fabio Pinelli, Gabriele Tolomei, Giovanni Trappolini |
| 2023 | Facebook Content Search: Efficient and Effective Adapting Search on A Large Scale. Xiangyu Niu, Yu-Wei Wu, Xiao Lu, Gautam Nagpal, Philip Pronin, Kecheng Hao, Zhen Liao, Guangdeng Liao |
| 2023 | FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. Mohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca |
| 2023 | Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty |
| 2023 | Faster Dynamic Pruning via Reordering of Documents in Inverted Indexes. Erman Yafay, Ismail Sengor Altingovde |
| 2023 | FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng |
| 2023 | FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani |
| 2023 | Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu |
| 2023 | Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation. Sebastian Schelter, Mozhdeh Ariannezhad, Maarten de Rijke |
| 2023 | Form-NLU: Dataset for the Form Natural Language Understanding. Yihao Ding, Siqu Long, Jiabin Huang, Kaixuan Ren, Xingxiang Luo, Hyunsuk Chung, Soyeon Caren Han |
| 2023 | Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2023 | Friend Ranking in Online Games via Pre-training Edge Transformers. Liang Yao, Jiazhen Peng, Shenggong Ji, Qiang Liu, Hongyun Cai, Feng He, Xu Cheng |
| 2023 | From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu |
| 2023 | GammaGL: A Multi-Backend Library for Graph Neural Networks. Yaoqi Liu, Cheng Yang, Tianyu Zhao, Hui Han, Siyuan Zhang, Jing Wu, Guangyu Zhou, Hai Huang, Hui Wang, Chuan Shi |
| 2023 | Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu |
| 2023 | Generative Information Retrieval. Marc Najork |
| 2023 | Generative Relevance Feedback with Large Language Models. Iain Mackie, Shubham Chatterjee, Jeffrey Dalton |
| 2023 | Generative-Contrastive Graph Learning for Recommendation. Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2023 | Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2023 | Graph Collaborative Signals Denoising and Augmentation for Recommendation. Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu |
| 2023 | Graph Enhanced BERT for Query Understanding. Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin |
| 2023 | Graph Masked Autoencoder for Sequential Recommendation. Yaowen Ye, Lianghao Xia, Chao Huang |
| 2023 | Graph Transformer for Recommendation. Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang |
| 2023 | GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang |
| 2023 | HC3: A Suite of Test Collections for CLIR Evaluation over Informal Text. Dawn J. Lawrie, James Mayfield, Douglas W. Oard, Eugene Yang, Suraj Nair, Petra Galuscáková |
| 2023 | HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2023 | Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff |
| 2023 | HeteroCS: A Heterogeneous Community Search System With Semantic Explanation. Weibin Cai, Fanwei Zhu, Zemin Liu, Minghui Wu |
| 2023 | HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang |
| 2023 | Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding. Zhenzhou Lin, Zishuo Zhao, Jingyou Xie, Ying Shen |
| 2023 | How Important is Periodic Model update in Recommender System? Hyunsung Lee, Sungwook Yoo, Dongjun Lee, Jaekwang Kim |
| 2023 | How Significant Attributes are in the Community Detection of Attributed Multiplex Networks. Junwei Cheng, Chaobo He, Kunlin Han, Wenjie Ma, Yong Tang |
| 2023 | How Well do Offline Metrics Predict Online Performance of Product Ranking Models? Xiaojie Wang, Ruoyuan Gao, Anoop Jain, Graham Edge, Sachin Ahuja |
| 2023 | Hydrus: Improving Personalized Quality of Experience in Short-form Video Services. Zhiyu Yuan, Kai Ren, Gang Wang, Xin Miao |
| 2023 | HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng |
| 2023 | Implicit Query Parsing at Amazon Product Search. Chen Luo, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin |
| 2023 | Improved Vector Quantization For Dense Retrieval with Contrastive Distillation. James O'Neill, Sourav Dutta |
| 2023 | Improving Conversational Passage Re-ranking with View Ensemble. Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang |
| 2023 | Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren |
| 2023 | Improving News Recommendation via Bottlenecked Multi-task Pre-training. Xiongfeng Xiao, Qing Li, Songlin Liu, Kun Zhou |
| 2023 | Improving Programming Q&A with Neural Generative Augmentation. Suthee Chaidaroon, Xiao Zhang, Shruti Subramaniyam, Jeffrey Svajlenko, Tanya Shourya, Iman Keivanloo, Ria Joy |
| 2023 | InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar |
| 2023 | Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou |
| 2023 | Inference at Scale: Significance Testing for Large Search and Recommendation Experiments. Ngozi Ihemelandu, Michael D. Ekstrand |
| 2023 | Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network Search. Wenping Wang, Yunxi Guo, Chiyao Shen, Shuai Ding, Guangdeng Liao, Hao Fu, Pramodh Karanth Prabhakar |
| 2023 | Intent-aware Ranking Ensemble for Personalized Recommendation. Jiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng, Daiyue Xue |
| 2023 | Interactive Recommendation System for Meituan Waimai. Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang |
| 2023 | Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection. Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde |
| 2023 | It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation. Jaewan Moon, Hye-young Kim, Jongwuk Lee |
| 2023 | JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions. Jiongnan Liu, Zhicheng Dou, Guoyu Tang, Sulong Xu |
| 2023 | KATIE: A System for Key Attributes Identification in Product Knowledge Graph Construction. Btissam Er-Rahmadi, Arturo Oncevay, Yuanyi Ji, Jeff Z. Pan |
| 2023 | Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer. Minyi Zhao, Jinpeng Wang, Dongliang Liao, Yiru Wang, Huanzhong Duan, Shuigeng Zhou |
| 2023 | Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta |
| 2023 | Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation. Qian Chen, Zhiqiang Guo, Jianjun Li, Guohui Li |
| 2023 | Knowledge-refined Denoising Network for Robust Recommendation. Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao |
| 2023 | LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. Qiao Jin, Andrew Shin, Zhiyong Lu |
| 2023 | LAPCA: Language-Agnostic Pretraining with Cross-Lingual Alignment. Dmitry Abulkhanov, Nikita Sorokin, Sergey I. Nikolenko, Valentin Malykh |
| 2023 | LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup. Heeyoon Yang, YunSeok Choi, Gahyung Kim, Jee-Hyong Lee |
| 2023 | LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising. Lingwei Kong, Lu Wang, Xiwei Zhao, Junsheng Jin, Zhangang Lin, Jinghe Hu, Jingping Shao |
| 2023 | Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li |
| 2023 | Large-Scale Data Processing for Information Retrieval Applications. Pooya Khandel |
| 2023 | Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen |
| 2023 | Leader-Generator Net: Dividing Skill and Implicitness for Conquering FairytaleQA. Wei Peng, Wanshui Li, Yue Hu |
| 2023 | Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu |
| 2023 | Learnable Pillar-based Re-ranking for Image-Text Retrieval. Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua |
| 2023 | Learning Fine-grained User Interests for Micro-video Recommendation. Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li |
| 2023 | Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval. Mingming Li, Chunyuan Yuan, Binbin Wang, Jingwei Zhuo, Songlin Wang, Lin Liu, Sulong Xu |
| 2023 | Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. Parth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava |
| 2023 | Learning from Crowds with Annotation Reliability. Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang |
| 2023 | Learning to Ask Clarification Questions with Spatial Reasoning. Yang Deng, Shuaiyi Li, Wai Lam |
| 2023 | Learning to Ask Questions for Zero-shot Dialogue State Tracking. Diogo Tavares, David Semedo, Alexander Rudnicky, João Magalhães |
| 2023 | Learning to Re-rank with Constrained Meta-Optimal Transport. Andrés Hoyos Idrobo |
| 2023 | Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang |
| 2023 | Lexically-Accelerated Dense Retrieval. Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder |
| 2023 | LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao |
| 2023 | LightGT: A Light Graph Transformer for Multimedia Recommendation. Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2023 | Limitations of Open-Domain Question Answering Benchmarks for Document-level Reasoning. Ehsan Kamalloo, Charles L. A. Clarke, Davood Rafiei |
| 2023 | LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li |
| 2023 | Linked-DocRED - Enhancing DocRED with Entity-Linking to Evaluate End-To-End Document-Level Information Extraction Pipelines. Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond, Martino Lovisetto |
| 2023 | LogicRec: Recommendation with Users' Logical Requirements. Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner |
| 2023 | Long-Form Information Retrieval for Enterprise Matchmaking. Pengyuan Li, Guang-Jie Ren, Anna Lisa Gentile, Chad DeLuca, Daniel Tan, Sandeep Gopisetty |
| 2023 | LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation. Petra Galuscáková, Romain Deveaud, Gabriela González Sáez, Philippe Mulhem, Lorraine Goeuriot, Florina Piroi, Martin Popel |
| 2023 | Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features. Seonmin Kim, Dong-Kyu Chae |
| 2023 | M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation. Zhenchao Wu, Xiao Zhou |
| 2023 | M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu |
| 2023 | MA-MRC: A Multi-answer Machine Reading Comprehension Dataset. Zhiang Yue, Jingping Liu, Cong Zhang, Chao Wang, Haiyun Jiang, Yue Zhang, Xianyang Tian, Zhedong Cen, Yanghua Xiao, Tong Ruan |
| 2023 | MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu |
| 2023 | MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | MDI: A Debiasing Method Combining Unbiased and Biased Data. Han Zhao, Qing Cui, Xinyu Li, Rongzhou Bao, Longfei Li, Jun Zhou, Zhehao Liu, Jinghua Feng |
| 2023 | MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim |
| 2023 | MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park |
| 2023 | MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval. Seong-Min Kang, Yoon-Sik Cho |
| 2023 | MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce. Nolwenn Bernard, Krisztian Balog |
| 2023 | MGeo: Multi-Modal Geographic Language Model Pre-Training. Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu |
| 2023 | ML-LJP: Multi-Law Aware Legal Judgment Prediction. Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang |
| 2023 | MMEAD: MS MARCO Entity Annotations and Disambiguations. Chris Kamphuis, Aileen Lin, Siwen Yang, Jimmy Lin, Arjen P. de Vries, Faegheh Hasibi |
| 2023 | MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu |
| 2023 | Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin |
| 2023 | Matching Point of Interests and Travel Blog with Multi-view Information Fusion. Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou |
| 2023 | MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs. Eduardo Brito, Henri Iser |
| 2023 | Measuring Item Global Residual Value for Fair Recommendation. Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang |
| 2023 | Measuring Service-Level Learning Effects in Search Via Query-Randomized Experiments. Paul Musgrave, Cuize Han, Parth Gupta |
| 2023 | Meta-optimized Contrastive Learning for Sequential Recommendation. Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2023 | Metric-agnostic Ranking Optimization. Qingyao Ai, Xuanhui Wang, Michael Bendersky |
| 2023 | MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li |
| 2023 | Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation. Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song, Yu Zhao |
| 2023 | Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong |
| 2023 | Mixup-based Unified Framework to Overcome Gender Bias Resurgence. Liu Yu, Yuzhou Mao, Jin Wu, Fan Zhou |
| 2023 | MobileRec: A Large Scale Dataset for Mobile Apps Recommendation. Muhammad Hasan Maqbool, Umar Farooq, Adib Mosharrof, A. B. Siddique, Hassan Foroosh |
| 2023 | Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin |
| 2023 | Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang |
| 2023 | Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion. Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang |
| 2023 | Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities. Christophe Van Gysel |
| 2023 | MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang |
| 2023 | Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang |
| 2023 | Multi-Scenario Ranking with Adaptive Feature Learning. Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li |
| 2023 | Multi-behavior Self-supervised Learning for Recommendation. Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai |
| 2023 | Multi-grained Representation Learning for Cross-modal Retrieval. Shengwei Zhao, Linhai Xu, Yuying Liu, Shaoyi Du |
| 2023 | Multi-lingual Semantic Search for Domain-specific Applications: Adobe Photoshop and Illustrator Help Search. Jayant Kumar, Ashok Gupta, Zhaoyu Lu, Andrei Stefan, Tracy Holloway King |
| 2023 | Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space. Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Jing Wang, Hao Yang, Shimin Tao |
| 2023 | Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation. Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu |
| 2023 | Multi-view Multi-aspect Neural Networks for Next-basket Recommendation. Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li |
| 2023 | Multimodal Counterfactual Learning Network for Multimedia-based Recommendation. Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue |
| 2023 | Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy. Xuming Hu |
| 2023 | Multimodal Neural Databases. Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri |
| 2023 | Multiple Topics Community Detection in Attributed Networks. Chaobo He, Junwei Cheng, Guohua Chen, Yong Tang |
| 2023 | Multivariate Representation Learning for Information Retrieval. Hamed Zamani, Michael Bendersky |
| 2023 | MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering. Yang Bai, Anthony M. Colas, Daisy Zhe Wang |
| 2023 | NC2T: Novel Curriculum Learning Approaches for Cross-Prompt Trait Scoring. Yejin Lee, Seokwon Jeong, Hongjin Kim, Tae-il Kim, Sung-Won Choi, Harksoo Kim |
| 2023 | Neighborhood-based Hard Negative Mining for Sequential Recommendation. Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu |
| 2023 | Neural Architectures for Searching Subgraph Structures. Radin Hamidi Rad |
| 2023 | Neural Methods for Cross-Language Information Retrieval. Eugene Yang, Dawn J. Lawrie, James Mayfield, Suraj Nair, Douglas W. Oard |
| 2023 | NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen |
| 2023 | Neuro-Symbolic Representations for Information Retrieval. Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeffrey Dalton, Jian-Yun Nie, Rodrigo Nogueira |
| 2023 | News Popularity Beyond the Click-Through-Rate for Personalized Recommendations. Ashutosh Nayak, Mayur Garg, Rajasekhara Reddy Duvvuru Muni |
| 2023 | Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network. Ran Li, Liang Zhang, Guannan Liu, Junjie Wu |
| 2023 | Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2023 | Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus |
| 2023 | OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie |
| 2023 | Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval. Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun |
| 2023 | On Answer Position Bias in Transformers for Question Answering. Rafael Glater, Rodrygo L. T. Santos |
| 2023 | On Stance Detection in Image Retrieval for Argumentation. Miriam Louise Carnot, Lorenz Heinemann, Jan Braker, Tobias Schreieder, Johannes Kiesel, Maik Fröbe, Martin Potthast, Benno Stein |
| 2023 | On the "Rough Use" of Machine Learning Techniques. Chih-Jen Lin |
| 2023 | On the Effects of Regional Spelling Conventions in Retrieval Models. Andreas Chari, Sean MacAvaney, Iadh Ounis |
| 2023 | On the Impact of Data Quality on Image Classification Fairness. Aki Barry, Lei Han, Gianluca Demartini |
| 2023 | On the Impact of Outlier Bias on User Clicks. Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke |
| 2023 | One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search. Wei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin |
| 2023 | One Stop Shop for Question-Answering Dataset Selection. Chang Nian Chuy, Qinmin Vivian Hu, Chen Ding |
| 2023 | One-Shot Labeling for Automatic Relevance Estimation. Sean MacAvaney, Luca Soldaini |
| 2023 | Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He |
| 2023 | OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu |
| 2023 | Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. Xiangkui Lu, Jun Wu, Jianbo Yuan |
| 2023 | PEPO: Petition Executing Processing Optimizer Based on Natural Language Processing. Yin-Wei Chiu, Hsiao-Ching Huang, Cheng-Ju Lee, Hsun-Ping Hsieh |
| 2023 | PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang |
| 2023 | Patterns of Gender-Specializing Query Reformulation. Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand |
| 2023 | PersonalTM: Transformer Memory for Personalized Retrieval. Ruixue Lian, Sixing Lu, Clint Solomon, Gustavo Aguilar, Pragaash Ponnusamy, Jialong Han, Chengyuan Ma, Chenlei Guo |
| 2023 | Personalized Dynamic Recommender System for Investors. Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi |
| 2023 | Personalized Federated Relation Classification over Heterogeneous Texts. Ning Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao |
| 2023 | Personalized Retrieval over Millions of Items. Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma |
| 2023 | Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley |
| 2023 | Personalized Stock Recommendation with Investors' Attention and Contextual Information. Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe |
| 2023 | PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen |
| 2023 | Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research. Francesco Meggetto, Yashar Moshfeghi |
| 2023 | Poisoning Self-supervised Learning Based Sequential Recommendations. Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li |
| 2023 | Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng |
| 2023 | Power Norm Based Lifelong Learning for Paraphrase Generations. Dingcheng Li, Peng Yang, Yue Zhang, Ping Li |
| 2023 | Practice and Challenges in Building a Business-oriented Search Engine Quality Metric. Nuo Chen, Donghyun Park, Hyungae Park, Kijun Choi, Tetsuya Sakai, Jinyoung Kim |
| 2023 | Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng |
| 2023 | Priming and Actions: An Analysis in Conversational Search Systems. Xiao Fu, Aldo Lipani |
| 2023 | Private Meeting Summarization Without Performance Loss. Seolhwa Lee, Anders Søgaard |
| 2023 | Proactive Conversational Agents in the Post-ChatGPT World. Lizi Liao, Grace Hui Yang, Chirag Shah |
| 2023 | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 Hsin-Hsi Chen, Wei-Jou (Edward) Duh, Hen-Hsen Huang, Makoto P. Kato, Josiane Mothe, Barbara Poblete |
| 2023 | Profiling and Visualizing Dynamic Pruning Algorithms. Zhixuan Li, Joel Mackenzie |
| 2023 | Prompt Learning for News Recommendation. Zizhuo Zhang, Bang Wang |
| 2023 | Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation. Lei Liu, Jimmy Xiangji Huang |
| 2023 | Quantifying Ranker Coverage of Different Query Subspaces. Negar Arabzadeh, Amin Bigdeli, Radin Hamidi Rad, Ebrahim Bagheri |
| 2023 | Quantifying and Advancing Information Retrieval System Explainability. Catherine Chen |
| 2023 | Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta, Rishabh Mehrotra |
| 2023 | Query Performance Prediction: From Ad-hoc to Conversational Search. Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke |
| 2023 | Query-specific Variable Depth Pooling via Query Performance Prediction. Debasis Ganguly, Emine Yilmaz |
| 2023 | RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation. Hao Jiang, Chuanzhen Li, Juanjuan Cai, Jingling Wang |
| 2023 | REFinD: Relation Extraction Financial Dataset. Simerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, Sameena Shah |
| 2023 | RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion. Bolong Zheng, Lei Bi, Ruijie Xi, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen |
| 2023 | RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan |
| 2023 | RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky |
| 2023 | Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features. Rafael Ferreira, David Semedo, João Magalhães |
| 2023 | ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. Sebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini |
| 2023 | Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu |
| 2023 | RecStudio: Towards a Highly-Modularized Recommender System. Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen |
| 2023 | Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2023 | Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval. Haochen Zhang, Anton Korikov, Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Manasa Bharadwaj, Ali Pesaranghader, Xi Yu Huang, Yi Xin Lok, Zhaoqi Wang, Nathan Jones, Scott Sanner |
| 2023 | Rectifying Unfairness in Recommendation Feedback Loop. Mengyue Yang, Jun Wang, Jean-Francois Ton |
| 2023 | Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu |
| 2023 | Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang |
| 2023 | Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. Bin Shang, Yinliang Zhao, Di Wang, Jun Liu |
| 2023 | Repetition and Exploration in Sequential Recommendation. Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke |
| 2023 | Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval. Yifan Qiao, Yingrui Yang, Shanxiu He, Tao Yang |
| 2023 | Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu |
| 2023 | Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2023 | Resilient Retrieval Models for Large Collection. Dipannita Podder |
| 2023 | Rethinking Benchmarks for Cross-modal Image-text Retrieval. Weijing Chen, Linli Yao, Qin Jin |
| 2023 | Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. Donghan Yu, Yiming Yang |
| 2023 | Review-based Multi-intention Contrastive Learning for Recommendation. Wei Yang, Tengfei Huo, Zhiqiang Liu, Chi Lu |
| 2023 | RewardTLG: Learning to Temporally Language Grounding from Flexible Reward. Yawen Zeng, Keyu Pan, Ning Han |
| 2023 | RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Streams. Gabriel Iturra-Bocaz, Felipe Bravo-Marquez |
| 2023 | Robust Causal Inference for Recommender System to Overcome Noisy Confounders. Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang |
| 2023 | Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. Patrik Dokoupil, Ladislav Peska, Ludovico Boratto |
| 2023 | SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian |
| 2023 | SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing. Xuan Tan, Wei Wu, Chuan Luo |
| 2023 | SEA: A Scalable Entity Alignment System. Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei |
| 2023 | SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani |
| 2023 | SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. Minghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin |
| 2023 | SONAR: Web-based Tool for Multimodal Exploration of Non-Fungible Token Inspiration Networks. Lucio La Cava, Davide Costa, Andrea Tagarelli |
| 2023 | SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval. Nandan Thakur, Kexin Wang, Iryna Gurevych, Jimmy Lin |
| 2023 | Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke |
| 2023 | Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen |
| 2023 | SciHarvester: Searching Scientific Documents for Numerical Values. Maciej Rybinski, Stephen Wan, Sarvnaz Karimi, Cécile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth |
| 2023 | SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. Fang Guo, Yun Luo, Linyi Yang, Yue Zhang |
| 2023 | Searching for Products in Virtual Reality: Understanding the Impact of Context and Result Presentation on User Experience. Austin R. Ward, Sandeep Avula, Hao Fei Cheng, Sheikh Muhammad Sarwar, Vanessa Murdock, Eugene Agichtein |
| 2023 | Searching for Reliable Facts over a Medical Knowledge Base. Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso |
| 2023 | Searching the ACL Anthology with Math Formulas and Text. Bryan Amador, Matt Langsenkamp, Abhisek Dey, Ayush Kumar Shah, Richard Zanibbi |
| 2023 | SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu |
| 2023 | Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search. Zhigong Zhou, Ning Ding, Xiaochuan Fan, Yue Shang, Yiming Qiu, Jingwei Zhuo, Zhiwei Ge, Songlin Wang, Lin Liu, Sulong Xu, Han Zhang |
| 2023 | Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong |
| 2023 | Session Search with Pre-trained Graph Classification Model. Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang |
| 2023 | Sharpness-Aware Graph Collaborative Filtering. Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang |
| 2023 | SimTDE: Simple Transformer Distillation for Sentence Embeddings. Jian Xie, Xin He, Jiyang Wang, Zimeng Qiu, Ali Kebarighotbi, Farhad Ghassemi |
| 2023 | Simple Approach for Aspect Sentiment Triplet Extraction Using Span-Based Segment Tagging and Dual Extractors. Dongxu Li, Zhihao Yang, Yuquan Lan, Yunqi Zhang, Hui Zhao, Gang Zhao |
| 2023 | Simpler is Much Faster: Fair and Independent Inner Product Search. Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2023 | Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives. Andreea Iana, Goran Glavas, Heiko Paulheim |
| 2023 | Single-shot Feature Selection for Multi-task Recommendations. Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong |
| 2023 | Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya |
| 2023 | Smooth Operators for Effective Systematic Review Queries. Harrisen Scells, Ferdinand Schlatt, Martin Potthast |
| 2023 | SocialDial: A Benchmark for Socially-Aware Dialogue Systems. Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari |
| 2023 | Soft Prompt Decoding for Multilingual Dense Retrieval. Zhiqi Huang, Hansi Zeng, Hamed Zamani, James Allan |
| 2023 | SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky |
| 2023 | Spatio-Temporal Hypergraph Learning for Next POI Recommendation. Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu |
| 2023 | Strategy-aware Bundle Recommender System. Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2023 | StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios. Jiasheng Zhang, Jie Shao, Bin Cui |
| 2023 | Subgraph Search over Neural-Symbolic Graphs. Ye Yuan, Delong Ma, Anbiao Wu, Jianbin Qin |
| 2023 | Surprise: Result List Truncation via Extreme Value Theory. Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins |
| 2023 | Synerise Monad: A Foundation Model for Behavioral Event Data. Barbara Rychalska, Szymon Lukasik, Jacek Dabrowski |
| 2023 | T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking. Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma |
| 2023 | TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen, Jun Zhou |
| 2023 | TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies. Matthias Springstein, Markos Stamatakis, Margret Plank, Julian Sittel, Roman Mauer, Oksana Bulgakowa, Ralph Ewerth, Eric Müller-Budack |
| 2023 | TMML: Text-Guided MuliModal Product Location For Alleviating Retrieval Inconsistency in E-Commerce. Youhua Tang, Xiong Xiong, Siyang Sun, Baoliang Cui, Yun Zheng, Haihong Tang |
| 2023 | Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification. Zien Sheikh Ali, Watheq Mansour, Fatima Haouari, Maram Hasanain, Tamer Elsayed, Abdulaziz Al-Ali |
| 2023 | Take a Fresh Look at Recommender Systems from an Evaluation Standpoint. Aixin Sun |
| 2023 | Tasks, Copilots, and the Future of Search. Ryen W. White |
| 2023 | Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan |
| 2023 | Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. Nicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok |
| 2023 | The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT'23). Marina Litvak, Irina Rabaev, Ricardo Campos, Alípio Mário Jorge, Adam Jatowt |
| 2023 | The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives. Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe, Lukas Gienapp, Harrisen Scells, Benno Stein, Matthias Hagen, Martin Potthast |
| 2023 | The BETTER Cross-Language Datasets. Ian Soboroff |
| 2023 | The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei |
| 2023 | The Information Retrieval Experiment Platform. Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast |
| 2023 | The JOKER Corpus: English-French Parallel Data for Multilingual Wordplay Recognition. Liana Ermakova, Anne-Gwenn Bosser, Adam Jatowt, Tristan Miller |
| 2023 | The Role of Relevance in Fair Ranking. Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega |
| 2023 | The Tale of Two MSMARCO - and Their Unfair Comparisons. Carlos Lassance, Stéphane Clinchant |
| 2023 | Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu |
| 2023 | Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen |
| 2023 | Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang |
| 2023 | Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma |
| 2023 | Towards Explainable Conversational Recommender Systems. Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren |
| 2023 | Towards Multi-Interest Pre-training with Sparse Capsule Network. Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li |
| 2023 | Towards Robust Knowledge Tracing Models via k-Sparse Attention. Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng |
| 2023 | Towards Trustworthy Recommender System: A Faithful and Responsible Recommendation Perspective. Yang Zhang |
| 2023 | Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen |
| 2023 | TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data. Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi |
| 2023 | Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks. Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim |
| 2023 | U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation. Yuanxing Liu, Weinan Zhang, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che |
| 2023 | Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control. Yi Ren, Hongyan Tang, Jiangpeng Rong, Siwen Zhu |
| 2023 | Uncertainty Quantification for Extreme Classification. Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2023 | Uncertainty Quantification for Text Classification. Dell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He |
| 2023 | Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li |
| 2023 | Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min |
| 2023 | Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. Mingchen Li, Lifu Huang |
| 2023 | Unsupervised Dense Retrieval Training with Web Anchors. Yiqing Xie, Xiao Liu, Chenyan Xiong |
| 2023 | Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li |
| 2023 | Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. Ashutosh Singh, Debasis Ganguly, Suchana Datta, Craig Macdonald |
| 2023 | Unsupervised Readability Assessment via Learning from Weak Readability Signals. Yuliang Liu, Zhiwei Jiang, Yafeng Yin, Cong Wang, Sheng Chen, Zhaoling Chen, Qing Gu |
| 2023 | Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han |
| 2023 | User-Dependent Learning to Debias for Recommendation. Fangyuan Luo, Jun Wu |
| 2023 | Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang |
| 2023 | VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search Tasks. Wojciech Kusa, Aldo Lipani, Petr Knoth, Allan Hanbury |
| 2023 | WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King |
| 2023 | Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang |
| 2023 | Weighted Knowledge Graph Embedding. Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu |
| 2023 | What If: Generating Code to Answer Simulation Questions in Chemistry Texts. Gal Peretz, Mousa Arraf, Kira Radinsky |
| 2023 | When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? Yushun Dong, Jundong Li, Tobias Schnabel |
| 2023 | When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen |
| 2023 | When the Music Stops: Tip-of-the-Tongue Retrieval for Music. Samarth Bhargav, Anne Schuth, Claudia Hauff |
| 2023 | Where Does Your News Come From? Predicting Information Pathways in Social Media. Alexander K. Taylor, Nuan Wen, Po-Nien Kung, Jiaao Chen, Violet Peng, Wei Wang |
| 2023 | Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni |
| 2023 | Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi |
| 2023 | Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations. Zhe Fu, Xi Niu, Li Yu |
| 2023 | XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments. Yuxuan Zong, Benjamin Piwowarski |
| 2023 | [email protected] 2023: The First Workshop on Generative Information Retrieval. Gabriel Bénédict, Ruqing Zhang, Donald Metzler |
| 2023 | eCom'23: The SIGIR 2023 Workshop on eCommerce. Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2023 | iQPP: A Benchmark for Image Query Performance Prediction. Eduard Gabriel Poesina, Radu Tudor Ionescu, Josiane Mothe |
| 2023 | pybool_ir: A Toolkit for Domain-Specific Search Experiments. Harrisen Scells, Martin Potthast |
| 2023 | ranxhub: An Online Repository for Information Retrieval Runs. Elias Bassani |
| 2023 | tieval: An Evaluation Framework for Temporal Information Extraction Systems. Hugo O. Sousa, Ricardo Campos, Alípio Mário Jorge |
| 2023 | uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering. Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee |