WSDM A

176 papers

YearTitle / Authors
2024"Maya"- A Conversational Shopping Assistant for Fashion at Myntra.
Akhil Raj, Hrishikesh Ganu, Saikat Kumar Das, R. Sandeep, Satyajeet Singh, Sreekanth Vempati
2024A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media.
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
2024A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval.
Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng
2024A Scalable Open-Source System for Segmenting Urban Areas with Road Networks.
Ming Zhang, Yanyan Li, Jianguo Duan, Jizhou Huang, Jingbo Zhou
2024AAGenRec: A Novel Approach for Mitigating Inter-task Interference in Multi-task Optimization of Sequential Behavior Modeling.
Jiawei Zhang, Shimin Yang, Liang Shen
2024Accelerating Pharmacovigilance using Large Language Models.
Mukkamala Venkata Sai Prakash, Ganesh Parab, Meghana Veeramalla, Siddartha Reddy, Varun V, Saisubramaniam Gopalakrishnan, Vishal Pagidipally, Vishal Vaddina
2024Ad-load Balancing via Off-policy Learning in a Content Marketplace.
Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
2024An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis.
Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue
2024Applications of LLMs in E-Commerce Search and Product Knowledge Graph: The DoorDash Case Study.
Sudeep Das, Raghav Saboo, Chaitanya S. K. Vadrevu, Bruce Wang, Steven Xu
2024Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation.
Yaokun Liu, Xiaowang Zhang, Minghui Zou, Zhiyong Feng
2024Augmenting Keyword-based Search in Mobile Applications Using LLMs.
Harikrishnan C, Giridhar Sreenivasa Murthy, Kumar Rangarajan
2024AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations.
He Wei, Yuekui Yang, Shaoping Ma, Haiyang Wu, Yangyang Tang, Meixi Liu, Yang Zhang
2024Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks.
Shreya Saxena, Siva Prasad, Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2024Automated Topic Generation for the Mexican Platform for Access to Government Public Information During the Period 2003-2020.
Hermelando Cruz-Pérez, Alejandro Molina-Villegas
2024Automatic Extraction of Patterns in Digital News Articles of Femicides occurred in Mexico by Text Mining Techniques.
Jonathan Zárate-Cartas, Alejandro Molina-Villegas
2024Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery.
Bowen Jin, Yu Zhang, Sha Li, Jiawei Han
2024Budgeted Embedding Table For Recommender Systems.
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process.
Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu
2024CL4DIV: A Contrastive Learning Framework for Search Result Diversification.
Zhirui Deng, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen
2024COTER: Conditional Optimal Transport meets Table Retrieval.
Xun Yao, Zhixin Zhang, Xinrong Hu, Jie (Jack) Yang, Yi Guo, Daniel (Dianliang) Zhu
2024Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction.
Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng
2024Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning.
Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2024CausalMMM: Learning Causal Structure for Marketing Mix Modeling.
Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi
2024Causality Guided Disentanglement for Cross-Platform Hate Speech Detection.
Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu
2024CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations.
Revanth Gangi Reddy, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai
2024CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting.
Chengxin Wang, Yuxuan Liang, Gary Tan
2024Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation.
Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie
2024Contextual MAB Oriented Embedding Denoising for Sequential Recommendation.
Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang
2024Continuous-time Autoencoders for Regular and Irregular Time Series Imputation.
Hyowon Wi, Yehjin Shin, Noseong Park
2024Cost-Effective Active Learning for Bid Exploration in Online Advertising.
Zixiao Wang, Zhenzhe Zheng, Yanrong Kang, Jiani Huang
2024CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting.
Zhengyang Zhou, Jiahao Shi, Hongbo Zhang, Qiongyu Chen, Xu Wang, Hongyang Chen, Yang Wang
2024CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking.
Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur
2024Customer Understanding for Recommender Systems.
Md. Mostafizur Rahman, Yu Hirate
2024Customized and Robust Deep Neural Network Watermarking.
Tzu-Yun Chien, Chih-Ya Shen
2024C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement.
Menglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou
2024Dance with Labels: Dual-Heterogeneous Label Graph Interaction for Multi-intent Spoken Language Understanding.
Zhihong Zhu, Xuxin Cheng, Hongxiang Li, Yaowei Li, Yuexian Zou
2024DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting.
Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying
2024Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2024Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation.
Zhibo Xiao, Luwei Yang, Tao Zhang, Wen Jiang, Wei Ning, Yujiu Yang
2024Defense Against Model Extraction Attacks on Recommender Systems.
Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
2024Delphic Costs and Benefits in Web Search: A Utilitarian and Historical Analysis.
Andrei Z. Broder
2024Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.
Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
2024DiffKG: Knowledge Graph Diffusion Model for Recommendation.
Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang
2024Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels.
Fali Wang, Tianxiang Zhao, Suhang Wang
2024Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao
2024Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation.
Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong
2024Effective and Efficient Transformer Models for Sequential Recommendation.
Aleksandr V. Petrov
2024Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function.
Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen
2024Empathetic Response Generation with Relation-aware Commonsense Knowledge.
Changyu Chen, Yanran Li, Chen Wei, Jianwei Cui, Bin Wang, Rui Yan
2024EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence.
Ambreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo
2024Exploiting Duality in Open Information Extraction with Predicate Prompt.
Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, Zongyu Wang, Rui Xie, Yunsen Xian
2024Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
2024FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes.
Haonan Wang, Ziwei Wu, Jingrui He
2024Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling.
Marija Sakota, Maxime Peyrard, Robert West
2024Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding.
Xiaoyu Wang, Yonghui Guo, Bin Tan, Tao Yang, Dongbo Huang, Lan Xu, Hao Zhou, Xiangyang Li
2024Foundation Models for Aerial Robotics.
Ashish Kapoor
2024Framework for Bias Detection in Machine Learning Models: A Fairness Approach.
Alveiro Alonso Rosado Gomez, Maritza Liliana Calderón-Benavides
2024Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs.
Jianling Wang, Haokai Lu, Minmin Chen
2024From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction.
Jiani Huang, Zhenzhe Zheng, Yanrong Kang, Zixiao Wang
2024Future Timelines: Extraction and Visualization of Future-related Content From News Articles.
Juwal Regev, Adam Jatowt, Michael Färber
2024GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
2024GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas.
Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen
2024GEMRec: Towards Generative Model Recommendation.
Yuanhe Guo, Haoming Liu, Hongyi Wen
2024Gaussian Graphical Model-Based Clustering of Time Series Data.
Kohei Obata
2024Generative Models for Complex Logical Reasoning over Knowledge Graphs.
Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi
2024Genomic-World Fungi Data: Synteny Part.
Pedro Escobar-Turriza, Luis Muñoz-Miranda, Alejandro Pereira-Santana
2024Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform.
Blaine Hill, Lihui Liu, Hanghang Tong
2024Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation.
Xuewei Li, Hongwei Chen, Jian Yu, Mankun Zhao, Tianyi Xu, Wenbin Zhang, Mei Yu
2024Grounded and Transparent Response Generation for Conversational Information-Seeking Systems.
Weronika Lajewska
2024Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning.
Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou
2024HealAI: A Healthcare LLM for Effective Medical Documentation.
Sagar Goyal, Eti Rastogi, Sree Prasanna Rajagopal, Dong Yuan, Fen Zhao, Jai Chintagunta, Gautam Naik, Jeff Ward
2024Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding.
Hongshen Xu, Lu Chen, Zihan Zhao, Da Ma, Ruisheng Cao, Zichen Zhu, Kai Yu
2024IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling.
Nolwenn Bernard, Ivica Kostric, Krisztian Balog
2024IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.
Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation.
Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang
2024Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder.
Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao
2024Integrating Knowledge Graph Data with Large Language Models for Explainable Inference.
Carlos Efrain Quintero Narvaez, Raúl Monroy
2024Integrity 2024: Integrity in Social Networks and Media.
Lluís Garcia Pueyo, Symeon Papadopoulos, Prathyusha Senthil Kumar, Aristides Gionis, Panayiotis Tsaparas, Vasilis Verroios, Giuseppe Manco, Anton Andryeyev, Stefano Cresci, Timos Sellis, Anthony McCosker
2024Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation.
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
2024Interact with the Explanations: Causal Debiased Explainable Recommendation System.
Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li
2024Interpretable Imitation Learning with Dynamic Causal Relations.
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2024Introduction to Responsible AI.
Ricardo Baeza-Yates
2024Inverse Learning with Extremely Sparse Feedback for Recommendation.
Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
2024Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers.
Sohini Roychowdhury
2024K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He
2024Knowledge Graph Context-Enhanced Diversified Recommendation.
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
2024LEAD: Liberal Feature-based Distillation for Dense Retrieval.
Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan
2024LLMRec: Large Language Models with Graph Augmentation for Recommendation.
Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection.
Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo
2024LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting.
Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng
2024Learning Opinion Dynamics from Data.
Jacopo Lenti
2024Lessons Learnt from Building Friend Recommendation Systems.
Jun Yu
2024Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions.
Zahra Abbasiantaeb, Yifei Yuan, Evangelos Kanoulas, Mohammad Aliannejadi
2024Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction.
Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua
2024Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents.
Nolwenn Bernard
2024Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models.
Jacopo Lenti, Corrado Monti, Gianmarco De Francisci Morales
2024Linear Recurrent Units for Sequential Recommendation.
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
2024Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs.
Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
2024Long-Term Value of Exploration: Measurements, Findings and Algorithms.
Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
2024MAD: Multi-Scale Anomaly Detection in Link Streams.
Esteban Bautista, Laurent Brisson, Cécile Bothorel, Grégory Smits
2024MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation.
Wenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang
2024MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation.
Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim
2024Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters.
Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang
2024Maximizing Malicious Influence in Node Injection Attack.
Xiao Zhang, Peng Bao, Shirui Pan
2024Mitigating Factual Inconsistency and Hallucination in Large Language Models.
Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2024Mixed Attention Network for Cross-domain Sequential Recommendation.
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
2024Motif-based Prompt Learning for Universal Cross-domain Recommendation.
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
2024Multi-Granular Text Classification with Minimal Supervision.
Yunyi Zhang
2024Multi-Intent Attribute-Aware Text Matching in Searching.
Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang
2024Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation.
Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang
2024MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
2024MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization.
Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang
2024Neural Kalman Filtering for Robust Temporal Recommendation.
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2024NeuralReconciler for Hierarchical Time Series Forecasting.
Shiyu Wang
2024Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.
Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He
2024ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models.
Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu
2024On the Effectiveness of Unlearning in Session-Based Recommendation.
Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren
2024Overlapping and Robust Edge-Colored Clustering in Hypergraphs.
Alex Crane, Brian Lavallee, Blair D. Sullivan, Nate Veldt
2024PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.
Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2024PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models.
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
2024PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization.
Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li
2024Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices.
Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra
2024Practical Bandits: An Industry Perspective.
Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh
2024Pre-trained Recommender Systems: A Causal Debiasing Perspective.
Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
2024Preserving Heritage: Developing a Translation Tool for Indigenous Dialects.
Melissa Robles, Cristian A. Martínez, Juan Camilo Prieto, Sara Palacios, Rubén Manrique
2024ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees.
Sina Sajadmanesh, Daniel Gatica-Perez
2024Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii
2024Professional Network Matters: Connections Empower Person-Job Fit.
Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li
2024Profiling Urban Mobility Patterns with High Spatial and Temporal Resolution: A Deep Dive into Cellphone Geo-position Data.
José Ignacio Huertas, Luisa Fernanda Chaparro Sierra
2024Proxy-based Item Representation for Attribute and Context-aware Recommendation.
Jinseok Seol, Minseok Gang, Sang-goo Lee, Jaehui Park
2024Psychology-informed Information Access Systems Workshop.
Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex
2024RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis.
Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
2024Ranking with Long-Term Constraints.
Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims
2024Real-time E-bike Route Planning with Battery Range Prediction.
Zhao Li, Guoqi Ren, Yongchun Gu, Siwei Zhou, Xuanwu Liu, Jiaming Huang, Ming Li
2024RecJPQ: Training Large-Catalogue Sequential Recommenders.
Aleksandr V. Petrov, Craig Macdonald
2024Recent Advances in Refinement Recommendations.
Akshay Jagatap, Sachin Farfade
2024Rethinking and Simplifying Bootstrapped Graph Latents.
Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2024Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation.
Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
2024SCAD: Subspace Clustering based Adversarial Detector.
Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu
2024SIRUP: Search-based Book Recommendation Playground.
Ghazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard Weikum
2024SSLRec: A Self-Supervised Learning Framework for Recommendation.
Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2024Scaling Up LLM Reviews for Google Ads Content Moderation.
Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek
2024Scaling Use-case Based Shopping using LLMs.
Sachin Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee
2024Some Useful Things to Know When Combining IR and NLP: The Easy, the Hard and the Ugly.
Omar Alonso, Kenneth Church
2024Source Free Graph Unsupervised Domain Adaptation.
Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
2024Strategic ML: How to Learn With Data That 'Behaves'.
Nir Rosenfeld
2024TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment.
Haoyu Dong, Haochen Wang, Anda Zhou, Yue Hu
2024Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
2024Temporal Blind Spots in Large Language Models.
Jonas Wallat, Adam Jatowt, Avishek Anand
2024Temporal Graph Analysis with TGX.
Razieh Shirzadkhani, Shenyang Huang, Elahe Kooshafar, Reihaneh Rabbany, Farimah Poursafaei
2024TemporalMed: Advancing Medical Dialogues with Time-Aware Responses in Large Language Models.
Yuyan Chen, Jin Zhao, Zhihao Wen, Zhixu Li, Yanghua Xiao
2024Text-Video Retrieval via Multi-Modal Hypergraph Networks.
Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin
2024The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024).
Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis
2024The 5th International Workshop on Machine Learning on Graphs (MLoG).
Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
2024The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.
Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng
2024The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG).
Xin Luna Dong
2024To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders.
Haw-Shiuan Chang, Nikhil Agarwal, Andrew McCallum
2024Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning.
Rong Yan, Peng Bao, Xiao Zhang, Zhongyi Liu, Hui Liu
2024Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline.
Yue Wang, Zilong Zheng, Zecheng Tang, Juntao Li, Zhihui Liu, Kunlong Chen, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Min Zhang
2024Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2024Towards Trustworthy Large Language Models.
Sanmi Koyejo, Bo Li
2024Unbiased Learning to Rank: On Recent Advances and Practical Applications.
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2024Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank.
Santiago de Leon-Martinez
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2024Unlocking Human Curiosity.
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2024User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.
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2024User Consented Federated Recommender System Against Personalized Attribute Inference Attack.
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2024Using Causal Inference to Solve Uncertainty Issues in Dataset Shift.
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2024Vector Search with OpenAI Embeddings: Lucene Is All You Need.
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2024WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society.
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2024WSDM 2024 Workshop on Representation Learning & Clustering.
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2024What I Learned from Spending a Dozen Years in the Dark Web.
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2024Wildfire: A Twitter Social Sensing Platform for Layperson.
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2024WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data.
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