Must-read Papers for Recommender Systems (RS)
Collaborative Filtering (CF) was firstly proposed.
[2016 RecSys] FFM: Field-aware Factorization Machines for CTR Prediction. [PDF]
[2017 IJCAI] DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. [PDF]
[2018 KDD] DIN: Deep Interest Network for Click-Through Rate Prediction. [PDF]
[2019 AAAI] DIEN: Deep Interest Evolution Network for Click-Through Rate Prediction. [PDF]
[2019 IJCAI] DSIN: Deep Session Interest Network for Click-Through Rate Prediction. [PDF]
[2007] COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking. [PDF] [Codes]
[2010] ListRankMF: List-wise Learning to Rank with Matrix Factorization for Collaborative Filtering. [PDF]
[2012] CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-More Filtering. [PDF]
[2012] TFMAP: Optimizing MAP for Top-N Context-aware Recommendation. [PDF]
[2015] Collaborative Ranking with a Push at the Top. [PDF]
[2015] ListCF: Listwise Collaborative Filtering. [PDF]
[2016] Ranking-Oriented Collaborative Filtering: A Listwise Approach. [PDF]
[2018] SQL-Rank: A Listwise Approach to Collaborative Ranking. [PDF]
[2013 RecSys] Recommendation in heterogeneous information networks with implicit user feedback. [PDF]
[2014 https://nms.kcl.ac.uk/colin.cooper/papers/recommender-rw.pdfn and Simulations**. [PDF]
[2014 WSDM] HeteRec: Personalized Entity Recommendation: A Heterogeneous Information Network Approach. [PDF]
[2016 TKDE] HeteRS: A General Recommendation Model for Heterogeneous Networks. [PDF]
[2017 KDD] FMG: Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks. [PDF] [Codes]
[2018 WSDM] HeteLearn: Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking. [PDF]
[2018 TKDE] HERec: Heterogeneous information network embedding for recommendation. [PDF]
[2019 IJCAI] HueRec: Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. [PDF]
Rating Prediction
Top-N Recommendation
[2020 AAAI] MCCF: Multi-Component Graph Convolutional Collaborative Filtering. [PDF]
[2020 SIGIR] DGCF: Disentangled Graph Collaborative Filtering. [PDF] [Codes]
aka. Next-item Recommendation or Next-basket Recommendation