add the session-based RecSys Paper

Session-based RecSys Papers.md

@@ -0,0 +1,54 @@
+## Must-read papers on RecSys-session-based.
+
+Contributed by [Junwei Zhang](https://github.com/0411tony).
+
+We release [Yue](https://github.com/0411tony/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](http://delivery.acm.org/10.1145/380000/372071/p285-sarwar.pdf?ip=218.70.255.152&id=372071&acc=ACTIVE%20SERVICE&key=BF85BBA5741FDC6E%2E4C4B77574FA1A7CF%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1546431542_d02487f30ebaed9ffe0e29e6070bb591)
+
+1. **Amazon.com Recommendations: Item-to-Item Collaborative Filtering.** 
+*Linden G, Smith B, York J.* IEEE Internet Computing 2003. [paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1167344)
+
+1. **An MDP-Based Recommender System**
+*Shani G, Heckerman D, Brafman R I.* Journal of Machine Learning Research 2005. [paper](https://arxiv.org/ftp/arxiv/papers/1301/1301.0600.pdf)
+
+1. **Factorizing personalized Markov chains for next-basket recommendation**
+*Rendle S, Freudenthaler C, Schmidt-Thieme L.* WWW 2010. [paper](http://delivery.acm.org/10.1145/1780000/1772773/p811-rendle.pdf?ip=218.70.255.152&id=1772773&acc=ACTIVE%20SERVICE&key=BF85BBA5741FDC6E%2E4C4B77574FA1A7CF%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1546431741_3fdbc1a74b222bc0ad4fd104cba5c6ea)
+
+1. **Session-based Recommendations with Recurrent Neural Networks.**
+*Hidasi, Balázs, Karatzoglou A, Baltrunas L, et al.* Computer Science 2015. [paper](https://arxiv.org/pdf/1511.06939.pdf)
+
+1. **Improved Recurrent Neural Networks for Session-based Recommendations**
+*Tan Y K, Xu X, Liu Y.* CoRR 2016. [paper](https://arxiv.org/pdf/1606.08117.pdf)
+
+1. **Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations**
+*Balázs Hidasi, Quadrana M, Karatzoglou A, et al.* RecSys 2016 [paper](http://delivery.acm.org/10.1145/2960000/2959167/p241-hidasi.pdf?ip=218.70.255.152&id=2959167&acc=ACTIVE%20SERVICE&key=BF85BBA5741FDC6E%2E4C4B77574FA1A7CF%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1546432069_1cfe1cb45fec758fe7be509c823032df)
+
+1. **Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation**
+*He R, Mcauley J.* CoRR 2016. [paper](http://arxiv.org/pdf/1609.09152)
+
+1. **When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation**
+*Jannach D, Ludewig M.* RecSys 2017. [paper](http://delivery.acm.org/10.1145/3110000/3109872/p306-jannach.pdf?ip=218.70.255.152&id=3109872&acc=ACTIVE%20SERVICE&key=BF85BBA5741FDC6E%2E4C4B77574FA1A7CF%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1546432012_ba48759e70cbbf85d79db91f20d4a8d4)
+
+1. **Neural Attentive Session-based Recommendation**
+*Li J, Ren P, Chen Z, et al.* CIKM 2017. [paper](https://arxiv.org/pdf/1711.04725v1.pdf)
+
+1. **Next Item Recommendation with Self-Attention**
+*Zhang S, Tay Y, Yao L, et al.* CoRR 2018. [paper](https://arxiv.org/pdf/1808.06414v2.pdf)
+
+1. **Session-based Recommendation with Graph Neural Networks.**
+*Wu S, Tang Y, Zhu Y, et al.* AAAI 2018. [paper](https://arxiv.org/pdf/1811.00855.pdf) 
+
+1. **STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation**
+*Liu Q, Zeng Y, Mokhosi R, et al.* KDD 2018. [paper](http://delivery.acm.org/10.1145/3220000/3219950/p1831-liu.pdf?ip=218.70.255.152&id=3219950&acc=ACTIVE%20SERVICE&key=BF85BBA5741FDC6E%2E4C4B77574FA1A7CF%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1546431853_60d5f08803e9946f72653ae2d3a624d7)
+
+
+### Preprints
+
+