RecSys Paper
1.[Paper & Code Review] (2009, IEEE) Matrix Factorization Techniques for Recommender Systems
(2009, IEEE) Matrix Factorization Techniques for Recommender Systems
2022년 2월 6일
2.[Paper & Code Review] (2015, WWW) AutoRec: Autoencoders Meet Collaborative Filtering
(2015, WWW) AutoRec: Autoencoders Meet Collaborative Filtering
2022년 2월 9일
3.[Paper & Code Review] (2017, WWW) Neural Collaborative Filtering
(2017, WWW) Neural Collaborative Filtering
2022년 2월 19일
4.[Paper & Code Review] (2018, WSDM) Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
(2018, WSDM) Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
2022년 3월 12일
5.[Paper & Code Review] (2009, UAI) BPR: Bayesian Personalized Ranking from Implicit Feedback
(2009, UAI) BPR: Bayesian Personalized Ranking from Implicit Feedback
2022년 3월 20일
6.[Paper & Code Review] (2018, WWW) Variational Autoencoders for Collaborative Filtering
(2018, WWW) Variational Autoencoders for Collaborative Filtering
2022년 4월 6일
7.[Paper & Code Review] (2017, WWW) Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
(2017, WWW) Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
2022년 6월 21일
8.[Paper & Code Review] (2017, NIPS) Inductive Representation Learning on Large Graphs
(2017, NIPS) Inductive Representation Learning on Large Graphs
2022년 6월 28일
9.[Paper & Code Review] (2018, KDD) Graph Convolutional Neural Networks for Web-Scale Recommender Systems
(2018, KDD) Graph Convolutional Neural Networks for Web-Scale Recommender Systems
2022년 6월 30일