| 2020 | Spatial Object Recommendation with Hints: When Spatial Granularity Matters. | Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong |
| 2020 | Deep Critiquing for VAE-based Recommender Systems. | Kai Luo, Hojin Yang, Ga Wu, Scott Sanner |
| 2020 | A Multilingual Approach for Unsupervised Search Task Identification. | Luis Lugo, Jos G. Moreno, Gilles Hubert |
| 2020 | Segmenting Search Query Logs by Learning to Detect Search Task Boundaries. | Luis Lugo, Jos G. Moreno, Gilles Hubert |
| 2020 | Knowledge Enhanced Personalized Search. | Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen |
| 2020 | Query-level Early Exit for Additive Learning-to-Rank Ensembles. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2020 | Deep Natural Language Processing for Search and Recommendation. | Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha |
| 2020 | Interactive Entity Linking Using Entity-Word Representations. | Pei-Chi Lo, Ee-Peng Lim |
| 2020 | APS: An Active PubMed Search System for Technology Assisted Reviews. | Dan Li, Panagiotis Zafeiriadis, Evangelos Kanoulas |
| 2020 | MRIF: Multi-resolution Interest Fusion for Recommendation. | Shihao Li, Dekun Yang, Bufeng Zhang |
| 2020 | Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. | Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua |
| 2020 | Automated Embedding Size Search in Deep Recommender Systems. | Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang |
| 2020 | Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension. | Ao Liu, Shuai Yuan, Chenbin Zhang, Congjian Luo, Yaqing Liao, Kun Bai, Zenglin Xu |
| 2020 | Chinese Document Classification with Bi-directional Convolutional Language Model. | Bin Liu, Guosheng Yin |
| 2020 | CapableOf Reasoning: A Step Towards Commonsense Oracle. | Jingping Liu, Yanghua Xiao, Ao Wang, Liang He, Bin Shao |
| 2020 | AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. | Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li |
| 2020 | Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. | Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng |
| 2020 | Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval. | Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying |
| 2020 | GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. | Jianfeng Liu, Feiyang Pan, Ling Luo |
| 2020 | A Heterogeneous Graph Neural Model for Cold-start Recommendation. | Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng |
| 2020 | Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. | Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie |
| 2020 | Investigating Reference Dependence Effects on User Search Interaction and Satisfaction: A Behavioral Economics Perspective. | Jiqun Liu, Fangyuan Han |
| 2020 | Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. | Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng |
| 2020 | DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. | Jiongnan Liu, Zhicheng Dou, Xiaojie Wang, Shuqi Lu, Ji-Rong Wen |
| 2020 | A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. | Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming |