| 2021 | Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates. | Daniel Cohen |
| 2021 | Evaluation Measures Based on Preference Graphs. | Charles L. A. Clarke, Chengxi Luo, Mark D. Smucker |
| 2021 | Knowledge Graph Embedding via Metagraph Learning. | Chanyoung Chung, Joyce Jiyoung Whang |
| 2021 | Unsupervised Proxy Selection for Session-based Recommender Systems. | Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu |
| 2021 | Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation. | Jaekeol Choi, Euna Jung, Jangwon Suh, Wonjong Rhee |
| 2021 | WTR: A Test Collection for Web Table Retrieval. | Zhiyu Chen, Shuo Zhang, Brian D. Davison |
| 2021 | Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. | Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang |
| 2021 | Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. | Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang |
| 2021 | Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. | Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie |
| 2021 | DAIR: A Query-Efficient Decision-based Attack on Image Retrieval Systems. | Mingyang Chen, Junda Lu, Yi Wang, Jianbin Qin, Wei Wang |
| 2021 | Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. | Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi |
| 2021 | Adapted Graph Reasoning and Filtration for Description-Image Retrieval. | Shiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li, Haiqing Chen |
| 2021 | Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval. | Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun |
| 2021 | Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. | Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen |
| 2021 | Looking at CTR Prediction Again: Is Attention All You Need? | Yuan Cheng, Yanbo Xue |
| 2021 | Dual Attention Transfer in Session-based Recommendation with Multi-dimensional Integration. | Chen Chen, Jie Guo, Bin Song |
| 2021 | GraphPAS: Parallel Architecture Search for Graph Neural Networks. | Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li |
| 2021 | Dual-View Distilled BERT for Sentence Embedding. | Xingyi Cheng |
| 2021 | AutoDebias: Learning to Debias for Recommendation. | Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang |
| 2021 | Entity Retrieval Using Fine-Grained Entity Aspects. | Shubham Chatterjee, Laura Dietz |
| 2021 | Sequential Recommendation with Graph Neural Networks. | Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li |
| 2021 | NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns. | Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal, James Thomas |
| 2021 | Podcast Metadata and Content: Episode Relevance and Attractiveness in Ad Hoc Search. | Ben Carterette, Rosie Jones, Gareth J. F. Jones, Maria Eskevich, Sravana Reddy, Ann Clifton, Yongze Yu, Jussi Karlgren, Ian Soboroff |
| 2021 | DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. | Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan, Zhiyong Chen |
| 2021 | Category-aware Collaborative Sequential Recommendation. | Renqin Cai, Jibang Wu, Aidan San, Chong Wang, Hongning Wang |