| 2021 | Bipartite Graph Embedding via Mutual Information Maximization. | Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang |
| 2021 | Advances in Bias-aware Recommendation on the Web. | Ludovico Boratto, Mirko Marras |
| 2021 | GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. | Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang |
| 2021 | Enhancing Neural Recommender Models through Domain-Specific Concordance. | Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian |
| 2021 | Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. | Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins |
| 2021 | Data-Sharing Economy: Value-Addition from Data meets Privacy. | Piyush Bagad, Subrata Mitra, Sunny Dhamnani, Atanu R. Sinha, Raunak Gautam, Haresh Khanna |
| 2021 | Balanced Influence Maximization in the Presence of Homophily. | Md Sanzeed Anwar, Martin Saveski, Deb Roy |
| 2021 | Data Augmentation Using Many-To-Many RNNs for Session-Aware Recommender Systems. | Martn Baigorria Alonso |
| 2021 | Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging. | Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke |
| 2021 | Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph. | Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki |
| 2021 | Explain and Predict, and then Predict Again. | Zijian Zhang, Koustav Rudra, Avishek Anand |
| 2021 | Toward User Engagement Optimization in 2D Presentation. | Liang Wu, Mihajlo Grbovic, Jundong Li |
| 2021 | Shifting Consumption towards Diverse Content on Music Streaming Platforms. | Christian Hansen, Rishabh Mehrotra, Casper Hansen, Brian Brost, Lucas Maystre, Mounia Lalmas |
| 2021 | Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings. | Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi |
| 2021 | Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. | Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. | Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin |
| 2020 | Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. | Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin |
| 2020 | Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. | Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong |
| 2020 | GREASE: A Generative Model for Relevance Search over Knowledge Graphs. | Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei |
| 2020 | Enhancing Re-finding Behavior with External Memories for Personalized Search. | Yujia Zhou, Zhicheng Dou, Ji-Rong Wen |
| 2020 | Can Deep Learning Only Be Neural Networks? | Zhi-Hua Zhou |
| 2020 | Investigating Examination Behavior in Mobile Search. | Yukun Zheng, Jiaxin Mao, Yiqun Liu, Mark Sanderson, Min Zhang, Shaoping Ma |
| 2020 | Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. | Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee |
| 2020 | Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. | Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang |
| 2020 | Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph. | Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang |