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With the explosive growth of online information, recommender systems play a key role to alleviate such information overload.
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FISM: Factored Item Similarity Models for Top-N Recommender Systems. In SIGKDD . 659–667
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TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. In AAAI . 123–129
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AutoRec: Autoencoders Meet Collaborative Filtering. In WWW . 111–112
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Collaborative Deep Learning for Recommender Systems. In SIGKDD . 1235–1244
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Improved Recurrent Neural Networks for Session-Based Recommendations. In 1st Workshop on Deep Learning for Recommender Systems . 17–22
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Collaborative Knowledge Base Embedding for Recommender Systems. In SIGKDD . 353–362
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Neural Collaborative Filtering. In WWW . 173–182
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Diversity in recommender systems – A survey
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Neural Attentive Session-Based Recommendation. In CIKM . 1419–1428
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Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. In ICLR
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Privacy at scale: Local differential privacy in practice. In SIGMOD . 1655–1658
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Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. In WWW . 1775–1784
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, and Jure Leskovec. 2018 · 2018
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Adversarial Personalized Ranking for Recommendation. In SIGIR . 355–364
Xiangnan He, Zhankui He, Xiaoyu Du, and Tat-Seng Chua. 2018 · 2018
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Recurrent Neural Networks with Top-k Gains for Session-Based Recommendations. In CIKM . 843–852
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A survey on knowledge graph-based recommender systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, and Qing He. 2020 · 2020
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A deep graph neural network-based mechanism for social recommendations
Zhiwei Guo and Heng Wang. 2020 · 2020
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Multi-Behavior Recommendation with Graph Convolutional Networks. In SIGIR . 659–668
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LSTM-based argument recommendation for non-API methods
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STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. In CIKM . 845–854
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, and Jagannadan Varadarajan. 2020 · 2020
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Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. In SIGIR . 505–514
Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, and Edward Y. Chang. 2018 · 2018
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Self-attentive sequential recommendation. In ICDM . 197–206
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Predict then Propagate: Graph Neural Networks meet Personalized PageRank. In ICLR
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Deeper insights into graph convolutional networks for semi-supervised learning. In AAAI . 3538–3545
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STAMP: Short-Term Attention/Memory Priority Model for Session-Based Recommendation. In SIGKDD . 1831–1839
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Sequence-Aware Recommender Systems
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Graph Networks as Learnable Physics Engines for Inference and Control. In ICML . 4470–4479
Alvaro Sanchez-Gonzalez, Nicolas Heess, Jost Tobias Springenberg, Josh Merel, Martin Riedmiller, Raia Hadsell, and Peter Battaglia. 2018 · 2018
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Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, and Xiuzhen Cheng. 2020 · 2020
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Deoscillated Graph Collaborative Filtering
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FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. In SIGKDD . 1234–1242
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Star Graph Neural Networks for Session-Based Recommendation. In CIKM . 1195–1204
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GAG: Global Attributed Graph Neural Network for Streaming Session-Based Recommendation. In SIGIR . 669–678
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Graph Learning Approaches to Recommender Systems: A Review
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Diffnet++: A neural influence and interest diffusion network for social recommendation
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Inductive Matrix Completion Based on Graph Neural Networks. In ICLR
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