| 2022 | 3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2022 | A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach. Suchana Datta, Sean MacAvaney, Debasis Ganguly, Derek Greene |
| 2022 | A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods. Andrew Trotman, Joel Mackenzie, Pradeesh Parameswaran, Jimmy Lin |
| 2022 | A Content Recommendation Policy for Gaining Subscribers. Konstantinos Theocharidis, Manolis Terrovitis, Spiros Skiadopoulos, Panagiotis Karras |
| 2022 | A Dataset for Sentence Retrieval for Open-Ended Dialogues. Itay Harel, Hagai Taitelbaum, Idan Szpektor, Oren Kurland |
| 2022 | A Dual-Expert Framework for Event Argument Extraction. Rui Li, Wenlin Zhao, Cheng Yang, Sen Su |
| 2022 | A Flexible Framework for Offline Effectiveness Metrics. Alistair Moffat, Joel Mackenzie, Paul Thomas, Leif Azzopardi |
| 2022 | A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example. Xiangyu Xi, Chenxu Lv, Yuncheng Hua, Wei Ye, Chaobo Sun, Shuaipeng Liu, Fan Yang, Guanglu Wan |
| 2022 | A Meta-learning Approach to Fair Ranking. Yuan Wang, Zhiqiang Tao, Yi Fang |
| 2022 | A Multi-Task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems. To Eun Kim, Aldo Lipani |
| 2022 | A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes. Krishanu Maity, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya |
| 2022 | A New Sequential Prediction Framework with Spatial-temporal Embedding. Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Jiang |
| 2022 | A Non-Factoid Question-Answering Taxonomy. Valeria Bolotova, Vladislav Blinov, Falk Scholer, W. Bruce Croft, Mark Sanderson |
| 2022 | A Python Interface to PISA! Sean MacAvaney, Craig Macdonald |
| 2022 | A Review-aware Graph Contrastive Learning Framework for Recommendation. Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li |
| 2022 | A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang |
| 2022 | A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang |
| 2022 | A Study of Cross-Session Cross-Device Search Within an Academic Digital Library. Sebastian Gomes, Miriam L. Boon, Orland Hoeber |
| 2022 | A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao |
| 2022 | A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking. Maciej Rybinski, Liam Watts, Sarvnaz Karimi |
| 2022 | ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov |
| 2022 | ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu |
| 2022 | AHP: Learning to Negative Sample for Hyperedge Prediction. Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin |
| 2022 | Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie |
| 2022 | Adaptable Text Matching via Meta-Weight Regulator. Bo Zhang, Chen Zhang, Fang Ma, Dawei Song |
| 2022 | Adaptive Dialogue Management for Conversational Information Elicitation. Harshita Sahijwani |
| 2022 | Addressing Gender-related Performance Disparities in Neural Rankers. Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri |
| 2022 | Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang |
| 2022 | Adversarial Graph Perturbations for Recommendations at Scale. Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang |
| 2022 | Alignment Rationale for Query-Document Relevance. Youngwoo Kim, Razieh Rahimi, James Allan |
| 2022 | Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen |
| 2022 | An Attribute-Driven Mirror Graph Network for Session-based Recommendation. Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun |
| 2022 | An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations. Md. Tahmid Rahman Laskar, Cheng Chen, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan TN, Simon Corston-Oliver |
| 2022 | An Efficiency Study for SPLADE Models. Carlos Lassance, Stéphane Clinchant |
| 2022 | An Efficient Fusion Mechanism for Multimodal Low-resource Setting. Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya |
| 2022 | An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo |
| 2022 | An Inspection of the Reproducibility and Replicability of TCT-ColBERT. Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis |
| 2022 | An Intelligent Advertisement Short Video Production System via Multi-Modal Retrieval. Yanheng Wei, Lianghua Huang, Yanhao Zhang, Yun Zheng, Pan Pan |
| 2022 | An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. Siwei Liu, Iadh Ounis, Craig Macdonald |
| 2022 | Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings. Georgios Sidiropoulos, Evangelos Kanoulas |
| 2022 | Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems. Shuo Zhang, Mu-Chun Wang, Krisztian Balog |
| 2022 | Analyzing the Support Level for Tips Extracted from Product Reviews. Miriam Farber, David Carmel, Lital Kuchy, Avihai Mejer |
| 2022 | Animating Images to Transfer CLIP for Video-Text Retrieval. Yu Liu, Huai Chen, Lianghua Huang, Di Chen, Bin Wang, Pan Pan, Lisheng Wang |
| 2022 | Another Look at Information Retrieval as Statistical Translation. Yuqi Liu, Chengcheng Hu, Jimmy Lin |
| 2022 | Answering Count Queries with Explanatory Evidence. Shrestha Ghosh, Simon Razniewski, Gerhard Weikum |
| 2022 | Applications and Future of Dense Retrieval in Industry. Yubin Kim |
| 2022 | ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections. Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa |
| 2022 | Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen |
| 2022 | Are Taylor's Posts Risky? Evaluating Cumulative Revelations in Online Personal Data: A persona-based tool for evaluating awareness of online risks and harms. Leif Azzopardi, Jo Briggs, Melissa Duheric, Callum Nash, Emma Nicol, Wendy Moncur, Burkhard Schafer |
| 2022 | Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation. Linzhu Yu, Dawei Jiang, Ke Chen, Lidan Shou |
| 2022 | Aspect Feature Distillation and Enhancement Network for Aspect-based Sentiment Analysis. Rui Liu, Jiahao Cao, Nannan Sun, Lei Jiang |
| 2022 | Assessing Scientific Research Papers with Knowledge Graphs. Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara |
| 2022 | Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen |
| 2022 | Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training. Shengyao Zhuang, Guido Zuccon |
| 2022 | AutoGSR: Neural Architecture Search for Graph-based Session Recommendation. Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang |
| 2022 | AutoLossGen: Automatic Loss Function Generation for Recommender Systems. Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang |
| 2022 | Automatic Expert Selection for Multi-Scenario and Multi-Task Search. Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun |
| 2022 | Axiomatic Retrieval Experimentation with ir_axioms. Alexander Bondarenko, Maik Fröbe, Jan Heinrich Reimer, Benno Stein, Michael Völske, Matthias Hagen |
| 2022 | Axiomatically Regularized Pre-training for Ad hoc Search. Jia Chen, Yiqun Liu, Yan Fang, Jiaxin Mao, Hui Fang, Shenghao Yang, Xiaohui Xie, Min Zhang, Shaoping Ma |
| 2022 | BARS: Towards Open Benchmarking for Recommender Systems. Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang |
| 2022 | BERT-ER: Query-specific BERT Entity Representations for Entity Ranking. Shubham Chatterjee, Laura Dietz |
| 2022 | BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval. Minghan Li, Éric Gaussier |
| 2022 | BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang |
| 2022 | Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu |
| 2022 | BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain. Viju Sudhi, Sabine Wehnert, Norbert Michael Homner, Sebastian Ernst, Mark Gonter, Andreas Krug, Ernesto William De Luca |
| 2022 | Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu |
| 2022 | Bias Mitigation for Toxicity Detection via Sequential Decisions. Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu |
| 2022 | Bilateral Self-unbiased Learning from Biased Implicit Feedback. Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee |
| 2022 | Biographical Semi-Supervised Relation Extraction Dataset. Alistair Plum, Tharindu Ranasinghe, Spencer Jones, Constantin Orasan, Ruslan Mitkov |
| 2022 | Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval. Wentao Tan, Lei Zhu, Weili Guan, Jingjing Li, Zhiyong Cheng |
| 2022 | C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval. Eugene Yang, Suraj Nair, Ramraj Chandradevan, Rebecca Iglesias-Flores, Douglas W. Oard |
| 2022 | CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong |
| 2022 | CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh |
| 2022 | CHERCHE: A New Tool to Rapidly Implement Pipelines in Information Retrieval. Raphaël Sourty, José G. Moreno, Lynda Tamine, François-Paul Servant |
| 2022 | CODEC: Complex Document and Entity Collection. Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton |
| 2022 | CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao |
| 2022 | COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas. Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, Chuangbai Xiao |
| 2022 | CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo |
| 2022 | CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video Retrieval. Kaixiang Ji, Jiajia Liu, Weixiang Hong, Liheng Zhong, Jian Wang, Jingdong Chen, Wei Chu |
| 2022 | CTnoCVR: A Novelty Auxiliary Task Making the Lower-CTR-Higher-CVR Upper. Dandan Zhang, Haotian Wu, Guanqi Zeng, Yao Yang, Weijiang Qiu, Yujie Chen, Haoyuan Hu |
| 2022 | Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai |
| 2022 | Can Users Predict Relative Query Effectiveness? Oleg Zendel, Melika P. Ebrahim, J. Shane Culpepper, Alistair Moffat, Falk Scholer |
| 2022 | CenterCLIP: Token Clustering for Efficient Text-Video Retrieval. Shuai Zhao, Linchao Zhu, Xiaohan Wang, Yi Yang |
| 2022 | CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. Shengyao Zhuang, Guido Zuccon |
| 2022 | ClueWeb22: 10 Billion Web Documents with Rich Information. Arnold Overwijk, Chenyan Xiong, Jamie Callan |
| 2022 | Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu |
| 2022 | Co-clustering Interactions via Attentive Hypergraph Neural Network. Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang |
| 2022 | Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao |
| 2022 | Coarse-to-Fine Sparse Sequential Recommendation. Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley |
| 2022 | Competitive Search. Oren Kurland, Moshe Tennenholtz |
| 2022 | Constrained Sequence-to-Tree Generation for Hierarchical Text Classification. Chao Yu, Yi Shen, Yue Mao |
| 2022 | Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model. Nuo Chen, Fan Zhang, Tetsuya Sakai |
| 2022 | Continual Learning Dialogue Systems - Learning during Conversation. Sahisnu Mazumder, Bing Liu |
| 2022 | Continuous Result Delta Evaluation of IR Systems. Gabriela González Sáez |
| 2022 | Contrastive Learning with Hard Negative Entities for Entity Set Expansion. Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng |
| 2022 | Conversational Information Seeking: Theory and Application. Jeffrey Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, Hamed Zamani |
| 2022 | Conversational Question Answering on Heterogeneous Sources. Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum |
| 2022 | Conversational Recommendation via Hierarchical Information Modeling. Quan Tu, Shen Gao, Yanran Li, Jianwei Cui, Bin Wang, Rui Yan |
| 2022 | CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2022 | Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon |
| 2022 | Cross-Probe BERT for Fast Cross-Modal Search. Tan Yu, Hongliang Fei, Ping Li |
| 2022 | Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. Kelong Mao, Zhicheng Dou, Hongjin Qian |
| 2022 | Curriculum Learning for Dense Retrieval Distillation. Hansi Zeng, Hamed Zamani, Vishwa Vinay |
| 2022 | DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph. Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu, Chao Yan, Lianyong Qi |
| 2022 | DDEN: A Heterogeneous Learning-to-Rank Approach with Deep Debiasing Experts Network. Wenchao Xiu, Yiran Wang, Taofeng Xue, Kai Zhang, Qin Zhang, Zhonghuo Wu, Yifan Yang, Gong Zhang |
| 2022 | DGQAN: Dual Graph Question-Answer Attention Networks for Answer Selection. Haitian Yang, Xuan Zhao, Yan Wang, Min Li, Wei Chen, Weiqing Huang |
| 2022 | DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations. Jiadi Han, Qian Tao, Yufei Tang, Yuhan Xia |
| 2022 | DIANES: A DEI Audit Toolkit for News Sources. Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent |
| 2022 | DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2022 | DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation. Sailaja Rajanala, Arghya Pal, Manish Singh, Raphael C.-W. Phan, KokSheik Wong |
| 2022 | Decoupled Side Information Fusion for Sequential Recommendation. Yueqi Xie, Peilin Zhou, Sunghun Kim |
| 2022 | Deep Knowledge Graph Representation Learning for Completion, Alignment, and Question Answering. Soumen Chakrabarti |
| 2022 | Deep Multi-Representational Item Network for CTR Prediction. Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Wang |
| 2022 | Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | Denoising Time Cycle Modeling for Recommendation. Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong |
| 2022 | Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng |
| 2022 | Detecting Frozen Phrases in Open-Domain Question Answering. Mostafa Yadegari, Ehsan Kamalloo, Davood Rafiei |
| 2022 | Determinantal Point Process Likelihoods for Sequential Recommendation. Yuli Liu, Christian J. Walder, Lexing Xie |
| 2022 | Dialogue Topic Segmentation via Parallel Extraction Network with Neighbor Smoothing. Jinxiong Xia, Cao Liu, Jiansong Chen, Yuchen Li, Fan Yang, Xunliang Cai, Guanglu Wan, Houfeng Wang |
| 2022 | DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang |
| 2022 | DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction. Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang |
| 2022 | Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie |
| 2022 | Distilling Knowledge on Text Graph for Social Media Attribute Inference. Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu |
| 2022 | Diversity Vs Relevance: A Practical Multi-objective Study in Luxury Fashion Recommendations. João Sá, Vanessa Queiroz Marinho, Ana Rita Magalhães, Tiago Lacerda, Diogo Gonçalves |
| 2022 | Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin |
| 2022 | Dual Contrastive Network for Sequential Recommendation. Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li |
| 2022 | Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher. Shujie Li, Min Yang, Chengming Li, Ruifeng Xu |
| 2022 | Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li |
| 2022 | EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems. Ishaan Kumar, Yaochen Hu, Yingxue Zhang |
| 2022 | ELECRec: Training Sequential Recommenders as Discriminators. Yongjun Chen, Jia Li, Caiming Xiong |
| 2022 | ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation. Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu |
| 2022 | Empowering Next POI Recommendation with Multi-Relational Modeling. Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li |
| 2022 | End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. Yue Zhang, Hongliang Fei, Ping Li |
| 2022 | Enhancing CTR Prediction with Context-Aware Feature Representation Learning. Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2022 | Enhancing Event-Level Sentiment Analysis with Structured Arguments. Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He |
| 2022 | Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li |
| 2022 | Enhancing Top-N Item Recommendations by Peer Collaboration. Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao |
| 2022 | Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge. Qinglin Zhu, Bin Liang, Jingyi Sun, Jiachen Du, Lanjun Zhou, Ruifeng Xu |
| 2022 | Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval. Revanth Gangi Reddy, Md. Arafat Sultan, Martin Franz, Avirup Sil, Heng Ji |
| 2022 | Entity-aware Transformers for Entity Search. Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries |
| 2022 | Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson |
| 2022 | Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings. Esaú Villatoro-Tello, Srikanth R. Madikeri, Petr Motlícek, Aravind Ganapathiraju, Alexei V. Ivanov |
| 2022 | Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi |
| 2022 | Explainable Conversational Question Answering over Heterogeneous Sources. Philipp Christmann |
| 2022 | Explainable Fairness in Recommendation. Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang |
| 2022 | Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen |
| 2022 | Explainable Session-based Recommendation with Meta-path Guided Instances and Self-Attention Mechanism. Jiayin Zheng, Juanyun Mai, Yanlong Wen |
| 2022 | Exploiting Session Information in BERT-based Session-aware Sequential Recommendation. Jinseok Jamie Seol, Youngrok Ko, Sang-goo Lee |
| 2022 | Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen |
| 2022 | Exploring Heterogeneous Data Lake based on Unified Canonical Graphs. Qin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Chen Chen, Guoren Wang |
| 2022 | Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu |
| 2022 | Expression Syntax Information Bottleneck for Math Word Problems. Jing Xiong, Chengming Li, Min Yang, Xiping Hu, Bin Hu |
| 2022 | Extractive Elementary Discourse Units for Improving Abstractive Summarization. Ye Xiong, Teeradaj Racharak, Minh Le Nguyen |
| 2022 | Extractive Search for Analysis of Biomedical Texts. Daniel Clothiaux, Ravi Starzl |
| 2022 | FUM: Fine-grained and Fast User Modeling for News Recommendation. Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2022 | Fairness of Exposure in Light of Incomplete Exposure Estimation. Maria Heuss, Fatemeh Sarvi, Maarten de Rijke |
| 2022 | Fairness-Aware Question Answering for Intelligent Assistants. Sachin Pathiyan Cherumanal |
| 2022 | Faster Learned Sparse Retrieval with Guided Traversal. Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto |
| 2022 | Few-Shot Stance Detection via Target-Aware Prompt Distillation. Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2022 | Few-shot Information Extraction is Here: Pre-train, Prompt and Entail. Eneko Agirre |
| 2022 | Few-shot Node Classification on Attributed Networks with Graph Meta-learning. Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan |
| 2022 | Flipping the Script: Inverse Information Seeking Dialogues for Market Research. Josh Seltzer, Kathy Cheng, Shi Zong, Jimmy Lin |
| 2022 | Forest-based Deep Recommender. Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen |
| 2022 | Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz |
| 2022 | From Cluster Ranking to Document Ranking. Egor Markovskiy, Fiana Raiber, Shoham Sabach, Oren Kurland |
| 2022 | From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant |
| 2022 | From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman, Guido Zuccon |
| 2022 | GERE: Generative Evidence Retrieval for Fact Verification. Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. Song Yang, Jiamou Liu, Kaiqi Zhao |
| 2022 | Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR Prediction. Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao, Non Non |
| 2022 | Gender Fairness in Information Retrieval Systems. Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2022 | Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang |
| 2022 | Generating Clarifying Questions with Web Search Results. Ziliang Zhao, Zhicheng Dou, Jiaxin Mao, Ji-Rong Wen |
| 2022 | Generating Knowledge-based Explanation for Recommendation from Review. Zuoxi Yang |
| 2022 | Generative Adversarial Framework for Cold-Start Item Recommendation. Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li |
| 2022 | Geometric Disentangled Collaborative Filtering. Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang |
| 2022 | Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus. Florian Schneider, Chris Biemann |
| 2022 | GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park |
| 2022 | Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen |
| 2022 | Graph Capsule Network with a Dual Adaptive Mechanism. Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Xuan Zhang |
| 2022 | Graph Trend Filtering Networks for Recommendation. Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li |
| 2022 | GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection. Xu Chen, Qiu Qiu, Changshan Li, Kunqing Xie |
| 2022 | H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin |
| 2022 | HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao |
| 2022 | HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction. Zuowu Zheng, Changwang Zhang, Xiaofeng Gao, Guihai Chen |
| 2022 | HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance. Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li, Suge Wang |
| 2022 | Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan |
| 2022 | Hierarchical Task-aware Multi-Head Attention Network. Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu |
| 2022 | How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval. Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon |
| 2022 | Human Preferences as Dueling Bandits. Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells |
| 2022 | Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling. Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei |
| 2022 | Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen |
| 2022 | Hypergraph Contrastive Collaborative Filtering. Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang |
| 2022 | IAOTP: An Interactive End-to-End Solution for Aspect-Opinion Term Pairs Extraction. Ambreen Nazir, Yuan Rao |
| 2022 | ILMART: Interpretable Ranking with Constrained LambdaMART. Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri |
| 2022 | INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng |
| 2022 | IPR: Interaction-level Preference Ranking for Explicit feedback. Shih-Yang Liu, Hsien-Hao Chen, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang |
| 2022 | IR Evaluation and Learning in the Presence of Forbidden Documents. David Carmel, Nachshon Cohen, Amir Ingber, Elad Kravi |
| 2022 | IRVILAB: Gamified Searching on Multilingual Wikipedia. Paavo Arvola, Tuulikki Alamettälä |
| 2022 | IWILDS'22 - Third International Workshop on Investigating Learning During Web Search. Anett Hoppe, Ran Yu, Jiqun Liu |
| 2022 | Identifying Argumentative Questions in Web Search Logs. Yamen Ajjour, Pavel Braslavski, Alexander Bondarenko, Benno Stein |
| 2022 | Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization. Lei Zhang, Min Yang, Chengming Li, Ruifeng Xu |
| 2022 | Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. Shengyao Zhuang, Hang Li, Guido Zuccon |
| 2022 | Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives. Wei Wang, Liangzhu Ge, Jingqiao Zhang, Cheng Yang |
| 2022 | Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long |
| 2022 | Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems. Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub |
| 2022 | Improving Fairness and Transparency for Artists in Music Recommender Systems. Karlijn Dinnissen |
| 2022 | Improving Implicit Alternating Least Squares with Ring-based Regularization. Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen |
| 2022 | Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder. Xu Zhao, Yi Ren, Ying Du, Shenzheng Zhang, Nian Wang |
| 2022 | Improving Micro-video Recommendation via Contrastive Multiple Interests. Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhou |
| 2022 | InPars: Unsupervised Dataset Generation for Information Retrieval. Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Nogueira |
| 2022 | Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff |
| 2022 | Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao |
| 2022 | Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin |
| 2022 | Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search. Yixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2022 | Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions. Shiri Dori-Hacohen, Scott A. Hale |
| 2022 | Information Need Awareness: An EEG Study. Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi |
| 2022 | Intelligent Conversational Agents for Ambient Computing. Ruhi Sarikaya |
| 2022 | Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua |
| 2022 | Interactive Query Clarification and Refinement via User Simulation. Pierre Erbacher, Ludovic Denoyer, Laure Soulier |
| 2022 | Interpolative Distillation for Unifying Biased and Debiased Recommendation. Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang |
| 2022 | Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval. Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert |
| 2022 | Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing. Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu |
| 2022 | Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu |
| 2022 | Is News Recommendation a Sequential Recommendation Task? Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang |
| 2022 | Is Non-IID Data a Threat in Federated Online Learning to Rank? Shuyi Wang, Guido Zuccon |
| 2022 | Item Similarity Mining for Multi-Market Recommendation. Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang |
| 2022 | Item-Provider Co-learning for Sequential Recommendation. Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi |
| 2022 | Joint Multisided Exposure Fairness for Recommendation. Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu |
| 2022 | Joint Optimization of Ad Ranking and Creative Selection. Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | KA-Recsys: Patient Focused Knowledge Appropriate Health Recommender System. Khushboo Thaker |
| 2022 | KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums. Limeng Cui, Dongwon Lee |
| 2022 | Knowledge Graph Contrastive Learning for Recommendation. Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li |
| 2022 | Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research? Longquan Jiang, Ricardo Usbeck |
| 2022 | L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks. Fangxin Liu, Haomin Li, Xiaokang Yang, Li Jiang |
| 2022 | LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References. Lucio La Cava, Andrea Simeri, Andrea Tagarelli |
| 2022 | Learn from Unlabeled Videos for Near-duplicate Video Retrieval. Xiangteng He, Yulin Pan, Mingqian Tang, Yiliang Lv, Yuxin Peng |
| 2022 | Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant |
| 2022 | Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng |
| 2022 | Learning Graph-based Disentangled Representations for Next POI Recommendation. Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang |
| 2022 | Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search. Dake Zhang, Amir Vakili Tahami, Mustafa Abualsaud, Mark D. Smucker |
| 2022 | Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao |
| 2022 | Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval. Ramraj Chandradevan, Eugene Yang, Mahsa Yarmohammadi, Eugene Agichtein |
| 2022 | Learning to Infer User Implicit Preference in Conversational Recommendation. Chenhao Hu, Shuhua Huang, Yansen Zhang, Yubao Liu |
| 2022 | Learning to Rank Instant Search Results with Multiple Indices: A Case Study in Search Aggregation for Entertainment. Scott Rome, Sardar Hamidian, Richard Walsh, Kevin Foley, Ferhan Ture |
| 2022 | Learning to Rank Knowledge Subgraph Nodes for Entity Retrieval. Parastoo Jafarzadeh, Zahra Amirmahani, Faezeh Ensan |
| 2022 | Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation with Minimal Computational Complexity. Harrie Oosterhuis |
| 2022 | Less is More: Reweighting Important Spectral Graph Features for Recommendation. Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine |
| 2022 | LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design. Haoxin Liu |
| 2022 | Lightweight Meta-Learning for Low-Resource Abstractive Summarization. Taehun Huh, Youngjoong Ko |
| 2022 | LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng |
| 2022 | Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang |
| 2022 | Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang |
| 2022 | Long Document Re-ranking with Modular Re-ranker. Luyu Gao, Jamie Callan |
| 2022 | MET-Meme: A Multimodal Meme Dataset Rich in Metaphors. Bo Xu, Tingting Li, Junzhe Zheng, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia |
| 2022 | MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu |
| 2022 | MIMICS-Duo: Offline & Online Evaluation of Search Clarification. Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson |
| 2022 | MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu |
| 2022 | MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr |
| 2022 | Masking and Generation: An Unsupervised Method for Sarcasm Detection. Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu |
| 2022 | Matching Search Result Diversity with User Diversity Acceptance in Web Search Sessions. Jiqun Liu, Fangyuan Han |
| 2022 | Measuring Fairness in Ranked Results: An Analytical and Empirical Comparison. Amifa Raj, Michael D. Ekstrand |
| 2022 | Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding. Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen |
| 2022 | MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Hong Wen, Luping Wang, Chengjun Mao, Bo Cao |
| 2022 | MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2022 | Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff |
| 2022 | Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems. Zhaolin Gao, Tianshu Shen, Zheda Mai, Mohamed Reda Bouadjenek, Isaac Waller, Ashton Anderson, Ron Bodkin, Scott Sanner |
| 2022 | Modality-Balanced Embedding for Video Retrieval. Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao |
| 2022 | Modeling User Behavior With Interaction Networks for Spam Detection. Prabhat Agarwal, Manisha Srivastava, Vishwakarma Singh, Charles Rosenberg |
| 2022 | Modern Baselines for SPARQL Semantic Parsing. Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck, Chris Biemann |
| 2022 | Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. Ivan Srba, Branislav Pecher, Matús Tomlein, Róbert Móro, Elena Stefancova, Jakub Simko, Mária Bieliková |
| 2022 | MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset. Dan Saattrup Nielsen, Ryan McConville |
| 2022 | MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang |
| 2022 | Multi-Agent RL-based Information Selection Model for Sequential Recommendation. Kaiyuan Li, Pengfei Wang, Chenliang Li |
| 2022 | Multi-Behavior Sequential Transformer Recommender. Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang |
| 2022 | Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval. Dingkun Long, Qiong Gao, Kuan Zou, Guangwei Xu, Pengjun Xie, Ruijie Guo, Jian Xu, Guanjun Jiang, Luxi Xing, Ping Yang |
| 2022 | Multi-Faceted Global Item Relation Learning for Session-Based Recommendation. Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song, Li Li |
| 2022 | Multi-Level Interaction Reranking with User Behavior History. Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu |
| 2022 | Multi-label Masked Language Modeling on Zero-shot Code-switched Sentiment Analysis. Zhi Li, Xing Gao, Ji Zhang, Yin Zhang |
| 2022 | Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao |
| 2022 | Multi-modal Graph Contrastive Learning for Micro-video Recommendation. Zixuan Yi, Xi Wang, Iadh Ounis, Craig Macdonald |
| 2022 | Multimodal Disentanglement Variational AutoEncoders for Zero-Shot Cross-Modal Retrieval. Jialin Tian, Kai Wang, Xing Xu, Zuo Cao, Fumin Shen, Heng Tao Shen |
| 2022 | Multimodal Entity Linking with Gated Hierarchical Fusion and Contrastive Training. Peng Wang, Jiangheng Wu, Xiaohang Chen |
| 2022 | Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation. Hao Fei, Chenliang Li, Donghong Ji, Fei Li |
| 2022 | NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang |
| 2022 | Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao |
| 2022 | Neural Pseudo-Relevance Feedback Models for Sparse and Dense Retrieval. Xiao Wang |
| 2022 | Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching. Ronak Pradeep, Yilin Li, Yuetong Wang, Jimmy Lin |
| 2022 | Neural Statistics for Click-Through Rate Prediction. Yanhua Huang, Hangyu Wang, Yiyun Miao, Ruiwen Xu, Lei Zhang, Weinan Zhang |
| 2022 | NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs. Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Yajing Xu, Ningyu Zhang, Zezhong Xu, Zonggang Yuan, Feiyu Xiong, Huajun Chen |
| 2022 | Neutralizing Popularity Bias in Recommendation Models. Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, Yewang Chen |
| 2022 | News Recommendation with Candidate-aware User Modeling. Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2022 | Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang |
| 2022 | ORCAS-I: Queries Annotated with Intent using Weak Supervision. Daria Alexander, Wojciech Kusa, Arjen P. de Vries |
| 2022 | OVQA: A Clinically Generated Visual Question Answering Dataset. YeFan Huang, Xiaoli Wang, Feiyan Liu, Guofeng Huang |
| 2022 | Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. Vishwa Vinay, Manoj Kilaru, David Arbour |
| 2022 | Offline Retrieval Evaluation Without Evaluation Metrics. Fernando Diaz, Andres Ferraro |
| 2022 | On Extractive Summarization for Profile-centric Neural Expert Search in Academia. Rennan C. Lima, Rodrygo L. T. Santos |
| 2022 | On Natural Language User Profiles for Transparent and Scrutable Recommendation. Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin |
| 2022 | On Optimizing Top-K Metrics for Neural Ranking Models. Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | On Survivorship Bias in MS MARCO. Prashansa Gupta, Sean MacAvaney |
| 2022 | On the Role of Relevance in Natural Language Processing Tasks. Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri |
| 2022 | On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen |
| 2022 | Online DATEing: A Web Interface for Temporal Annotations. Dennis Aumiller, Satya Almasian, David Pohl, Michael Gertz |
| 2022 | Optimizing Generalized Gini Indices for Fairness in Rankings. Virginie Do, Nicolas Usunier |
| 2022 | Organizing Portuguese Legal Documents through Topic Discovery. Daniela Vianna, Edleno Silva de Moura |
| 2022 | P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu |
| 2022 | PERD: Personalized Emoji Recommendation with Dynamic User Preference. Xuanzhi Zheng, Guoshuai Zhao, Li Zhu, Xueming Qian |
| 2022 | PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation. Zefeng Cai, Zerui Cai |
| 2022 | PKG: A Personal Knowledge Graph for Recommendation. Yu Yang, Jiangxu Lin, Xiaolian Zhang, Meng Wang |
| 2022 | PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing. Ruixin Li, Yu Yin, Le Dai, Shuanghong Shen, Xin Lin, Yu Su, Enhong Chen |
| 2022 | PTAU: Prompt Tuning for Attributing Unanswerable Questions. Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai, Jiuyang Tang |
| 2022 | Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model. Till Kletti, Jean-Michel Renders, Patrick Loiseau |
| 2022 | Personalized Abstractive Opinion Tagging. Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2022 | Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang |
| 2022 | Point Prompt Tuning for Temporally Language Grounding. Yawen Zeng |
| 2022 | Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation. Shansan Gong, Kenny Q. Zhu |
| 2022 | Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras |
| 2022 | Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | Pre-Training for Mathematics-Aware Retrieval. Anja Reusch |
| 2022 | Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng |
| 2022 | Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma |
| 2022 | Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin |
| 2022 | Privacy-Preserving Synthetic Data Generation for Recommendation Systems. Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli |
| 2022 | ProFairRec: Provider Fairness-aware News Recommendation. Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2022 | Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking. Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke |
| 2022 | Progressive Learning for Image Retrieval with Hybrid-Modality Queries. Yida Zhao, Yuqing Song, Qin Jin |
| 2022 | Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation. Yuehua Zhu, Bo Huang, Shaohua Jiang, Muli Yang, Yanhua Yang, Wenliang Zhong |
| 2022 | QFinder: A Framework for Quantity-centric Ranking. Satya Almasian, Milena Bruseva, Michael Gertz |
| 2022 | QSG Transformer: Transformer with Query-Attentive Semantic Graph for Query-Focused Summarization. Choongwon Park, Youngjoong Ko |
| 2022 | QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems. Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog |
| 2022 | QUASER: Question Answering with Scalable Extractive Rationalization. Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad |
| 2022 | Query Facet Mapping and its Applications in Streaming Services: The Netflix Case Study. Sudeep Das, Ivan Provalov, Vickie Zhang, Weidong Zhang |
| 2022 | Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus. Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, Robert West |
| 2022 | RELISON: A Framework for Link Recommendation in Social Networks. Javier Sanz-Cruzado, Pablo Castells |
| 2022 | RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation. Qihang Zhao |
| 2022 | ROGUE: A System for Exploratory Search of GANs. Yang Liu, Alan Medlar, Dorota Glowacka |
| 2022 | RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang |
| 2022 | Ranking Interruptus: When Truncated Rankings Are Better and How to Measure That. Enrique Amigó, Stefano Mizzaro, Damiano Spina |
| 2022 | Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective. Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun |
| 2022 | Re-weighting Negative Samples for Model-Agnostic Matching. Jiazhen Lou, Hong Wen, Fuyu Lv, Jing Zhang, Tengfei Yuan, Zhao Li |
| 2022 | ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter, Maarten de Rijke |
| 2022 | ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang |
| 2022 | ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen |
| 2022 | ReNeuIR: Reaching Efficiency in Neural Information Retrieval. Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini |
| 2022 | RecDelta: An Interactive Dashboard on Top-k Recommendation for Cross-model Evaluation. Yi-Shyuan Chiang, Yu-Ze Liu, Chen-Feng Tsai, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang |
| 2022 | Recent Advances in Retrieval-Augmented Text Generation. Deng Cai, Yan Wang, Lemao Liu, Shuming Shi |
| 2022 | Recognizing Medical Search Query Intent by Few-shot Learning. Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou |
| 2022 | Reduce, Reuse, Recycle: Green Information Retrieval Research. Harrisen Scells, Shengyao Zhuang, Guido Zuccon |
| 2022 | Regulating Group Exposure for Item Providers in Recommendation. Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu |
| 2022 | Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | Relation-Guided Few-Shot Relational Triple Extraction. Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang |
| 2022 | Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2022 | Rethinking Correlation-based Item-Item Similarities for Recommender Systems. Katsuhiko Hayashi |
| 2022 | Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren |
| 2022 | Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation. Markus Schedl, Emilia Gómez, Elisabeth Lex |
| 2022 | Retrieval-Enhanced Machine Learning. Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky |
| 2022 | Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong |
| 2022 | Revisiting Two-tower Models for Unbiased Learning to Rank. Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | Risk-Sensitive Deep Neural Learning to Rank. Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Thierson Couto Rosa, Marcos André Gonçalves |
| 2022 | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, Gabriella Kazai |
| 2022 | Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. Yiling Jia, Hongning Wang |
| 2022 | Scalable User Interface Optimization Using Combinatorial Bandits. Ioannis Kangas, Maud Schwoerer, Lucas Bernardi |
| 2022 | Searching for a New and Better Future of Work. Jaime Teevan |
| 2022 | Selective Fairness in Recommendation via Prompts. Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He |
| 2022 | Self-Guided Learning to Denoise for Robust Recommendation. Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, Baihua Zheng |
| 2022 | Self-Supervised Learning for Recommender System. Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin |
| 2022 | Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal |
| 2022 | Single-shot Embedding Dimension Search in Recommender System. Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin |
| 2022 | Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. Shuang Tang, Fangyuan Luo, Jun Wu |
| 2022 | SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, Thanh-Nam Doan |
| 2022 | Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu |
| 2022 | Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi |
| 2022 | SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts. Andrés García-Silva, Cristian Berrio, José Manuél Gómez-Pérez, José Antonio Martínez Heras, Alessandro Donati, Ilaria Roma |
| 2022 | SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals. Zijian Zhang, Vinay Setty, Avishek Anand |
| 2022 | State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke |
| 2022 | Structure and Semantics Preserving Document Representations. Natraj Raman, Sameena Shah, Manuela Veloso |
| 2022 | Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval. Jialin Tian, Xing Xu, Kai Wang, Zuo Cao, Xunliang Cai, Heng Tao Shen |
| 2022 | Structured and Natural Responses Co-generation for Conversational Search. Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua |
| 2022 | Summarizing Legal Regulatory Documents using Transformers. Svea Klaus, Ria Van Hecke, Kaweh Djafari Naini, Ismail Sengor Altingovde, Juan Bernabé-Moreno, Enrique Herrera-Viedma |
| 2022 | TARexp: A Python Framework for Technology-Assisted Review Experiments. Eugene Yang, David D. Lewis |
| 2022 | Table Enrichment System for Machine Learning. Yuyang Dong, Masafumi Oyamada |
| 2022 | Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities. Jiandian Zeng, Tianyi Liu, Jiantao Zhou |
| 2022 | Target-aware Abstractive Related Work Generation with Contrastive Learning. Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang |
| 2022 | Task-Oriented Dialogue System as Natural Language Generation. Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo |
| 2022 | TaskMAD: A Platform for Multimodal Task-Centric Knowledge-Grounded Conversational Experimentation. Alessandro Speggiorin, Jeffrey Dalton, Anton Leuski |
| 2022 | Tensor-based Graph Modularity for Text Data Clustering. Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif |
| 2022 | The 10th International Workshop on News Recommendation and Analytics (INRA 2022). Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse |
| 2022 | The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto |
| 2022 | The Seventh Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI'22). Gustavo Penha, Svitlana Vakulenko, Ondrej Dusek, Leigh Clark, Vaishali Pal, Vaibhav Adlakha |
| 2022 | Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang |
| 2022 | To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon |
| 2022 | Too Many Relevants: Whither Cranfield Test Collections? Ellen M. Voorhees, Nick Craswell, Jimmy Lin |
| 2022 | Topological Analysis of Contradictions in Text. Xiangcheng Wu, Xi Niu, Ruhani Rahman |
| 2022 | Towards Event-level Causal Relation Identification. Chuang Fan, Daoxing Liu, Libo Qin, Yue Zhang, Ruifeng Xu |
| 2022 | Towards Explainable Search Results: A Listwise Explanation Generator. Puxuan Yu, Razieh Rahimi, James Allan |
| 2022 | Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi |
| 2022 | Towards Motivational and Empathetic Response Generation in Online Mental Health Support. Tulika Saha, Vaibhav Gakhreja, Anindya Sundar Das, Souhitya Chakraborty, Sriparna Saha |
| 2022 | Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng |
| 2022 | Towards Reproducible Machine Learning Research in Information Retrieval. Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic |
| 2022 | Towards Results-level Proportionality for Multi-objective Recommender Systems. Ladislav Peska, Patrik Dokoupil |
| 2022 | Towards Suicide Ideation Detection Through Online Conversational Context. Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek |
| 2022 | Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo |
| 2022 | Training Entire-Space Models for Target-oriented Opinion Words Extraction. Yuncong Li, Fang Wang, Sheng-hua Zhong |
| 2022 | Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng |
| 2022 | Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction. Chenwei Lou, Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Weiwei Tu, Ruifeng Xu |
| 2022 | Understanding Long Programming Languages with Structure-Aware Sparse Attention. Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou |
| 2022 | Understanding User Satisfaction with Task-oriented Dialogue Systems. Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke |
| 2022 | Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li |
| 2022 | Unify Local and Global Information for Top-N Recommendation. Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Chao Shen |
| 2022 | Unifying Cross-lingual Summarization and Machine Translation with Compression Rate. Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan, Zewen Chi, Boxing Chen |
| 2022 | Unlearning Protected User Attributes in Recommendations with Adversarial Training. Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl |
| 2022 | Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher |
| 2022 | Unsupervised Product Offering Title Quality Scores. Henry S. Vieira |
| 2022 | User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang |
| 2022 | User-Centric Conversational Recommendation with Multi-Aspect User Modeling. Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He |
| 2022 | User-centered Non-factoid Answer Retrieval. Marwah Alaofi |
| 2022 | User-controllable Recommendation Against Filter Bubbles. Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua |
| 2022 | UserBERT: Pre-training User Model with Contrastive Self-supervision. Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | Users and Contemporary SERPs: A (Re-)Investigation. Nirmal Roy, David Maxwell, Claudia Hauff |
| 2022 | Users: Can't Work With Them, Can't Work Without Them? Alistair Moffat |
| 2022 | V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie |
| 2022 | Value Penalized Q-Learning for Recommender Systems. Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao |
| 2022 | Variational Reasoning about User Preferences for Conversational Recommendation. Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen |
| 2022 | ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities. Paul Lerner, Olivier Ferret, Camille Guinaudeau, Hervé Le Borgne, Romaric Besançon, José G. Moreno, Jesús Lovón-Melgarejo |
| 2022 | Video Moment Retrieval from Text Queries via Single Frame Annotation. Ran Cui, Tianwen Qian, Pai Peng, Elena Daskalaki, Jingjing Chen, Xiaowei Guo, Huyang Sun, Yu-Gang Jiang |
| 2022 | Webformer: Pre-training with Web Pages for Information Retrieval. Yu Guo, Zhengyi Ma, Jiaxin Mao, Hongjin Qian, Xinyu Zhang, Hao Jiang, Zhao Cao, Zhicheng Dou |
| 2022 | What Makes a Good Podcast Summary? Rezvaneh Rezapour, Sravana Reddy, Rosie Jones, Ian Soboroff |
| 2022 | What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang |
| 2022 | What the Actual...Examining User Behaviour in Information Retrieval. George Buchanan, Dana McKay |
| 2022 | When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li |
| 2022 | When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction. Wanjie Tao, Liangyue Li, Chen Chen, Zulong Chen, Hong Wen |
| 2022 | Where Do Queries Come From? Marwah Alaofi, Luke Gallagher, Dana McKay, Lauren L. Saling, Mark Sanderson, Falk Scholer, Damiano Spina, Ryen W. White |
| 2022 | Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao |
| 2022 | Which Discriminator for Cooperative Text Generation? Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau |
| 2022 | Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals. Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuancheng Li, Jiaji Li, Xuesong Chen, Min Zhang, Shaoping Ma |
| 2022 | Why do Semantically Unrelated Categories Appear in the Same Session?: A Demand-aware Method. Liqi Yang, Linhao Luo, Xiaofeng Zhang, Fengxin Li, Xinni Zhang, Zelin Jiang, Shuai Tang |
| 2022 | Wikimarks: Harvesting Relevance Benchmarks from Wikipedia. Laura Dietz, Shubham Chatterjee, Connor Lennox, Sumanta Kashyapi, Pooja Oza, Ben Gamari |
| 2022 | Would You Ask it that Way?: Measuring and Improving Question Naturalness for Knowledge Graph Question Answering. Trond Linjordet, Krisztian Balog |
| 2022 | You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos. Xin Sun, Xuan Wang, Jialin Gao, Qiong Liu, Xi Zhou |
| 2022 | Zero-shot Query Contextualization for Conversational Search. Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas |
| 2022 | ZeroMatcher: A Cost-Off Entity Matching System. Congcong Ge, Xiaocan Zeng, Lu Chen, Yunjun Gao |
| 2022 | eCom'22: The SIGIR 2022 Workshop on eCommerce. Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2022 | iRec: An Interactive Recommendation Framework. Thiago Silva, Nícollas Silva, Heitor Werneck, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha |
| 2022 | ir_metadata: An Extensible Metadata Schema for IR Experiments. Timo Breuer, Jüri Keller, Philipp Schaer |