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Session-based RecSys Papers.md

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Must-read papers on RecSys-session-based.

Contributed by Junwei Zhang.

We release Yue, the open source toolkit for recommendation system on music dataset. This repository provides a standard music recommend training and testing frameworks. And we will implement some session-based models. Currently, the implemented models in Yue include Song2vec, BPR.....

Survey papers:

Journal and Conference papers:

  1. Item-based collaborative filtering recommendation algorithms. Sarwar, Badrul, et al. ACM World Wide Web 2001. paper

  2. Amazon.com Recommendations: Item-to-Item Collaborative Filtering. Linden G, Smith B, York J. IEEE Internet Computing 2003. paper

  3. An MDP-Based Recommender System Shani G, Heckerman D, Brafman R I. Journal of Machine Learning Research 2005. paper

  4. Factorizing personalized Markov chains for next-basket recommendation Rendle S, Freudenthaler C, Schmidt-Thieme L. WWW 2010. paper

  5. Session-based Recommendations with Recurrent Neural Networks. Hidasi, Balázs, Karatzoglou A, Baltrunas L, et al. Computer Science 2015. paper

  6. Improved Recurrent Neural Networks for Session-based Recommendations Tan Y K, Xu X, Liu Y. CoRR 2016. paper

  7. Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations Balázs Hidasi, Quadrana M, Karatzoglou A, et al. RecSys 2016 paper

  8. Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation He R, Mcauley J. CoRR 2016. paper

  9. When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation Jannach D, Ludewig M. RecSys 2017. paper

  10. Neural Attentive Session-based Recommendation Li J, Ren P, Chen Z, et al. CIKM 2017. paper

  11. Next Item Recommendation with Self-Attention Zhang S, Tay Y, Yao L, et al. CoRR 2018. paper

  12. Session-based Recommendation with Graph Neural Networks. Wu S, Tang Y, Zhu Y, et al. AAAI 2018. paper

  13. STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation Liu Q, Zeng Y, Mokhosi R, et al. KDD 2018. paper

Preprints