Fetching the paper…
Reading the bibliography…
In collaborative filtering, it is an important way to make full use of social information to improve the recommendation quality, which has been proved to be effective because user behavior will be affected by her friends.
Spectra of some self-exciting and mutually exciting point processes
ALAN G. HAWKES. 1971 · 1971
Earlier work this paper cites.
Network Studies of Social Influence
Peter V. Marsden and Noah E. Friedkin. 1994 · 1994
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Referral Web: combining social networks and collaborative filtering
Henry Kautz, Bart Selman, and Mehul Shah. 1997 · 1997
Earlier work this paper cites.
Recommender systems
P. J. Resnick and Hal R Varian. 1997 · 1997
Earlier work this paper cites.
BIRDS OF A FEATHER: Homophily in Social Networks
McPherson, Miller, Smith-Lovin, Lynn, Cook, and M. James. 2001 · 2001
Earlier work this paper cites.
Sorec: social recommendation using probabilistic matrix factorization. In Proceedings of the 17th ACM conference on Information and knowledge management . 931–940
Hao Ma, Haixuan Yang, Michael R Lyu, and Irwin King. 2008 · 2008
Earlier work this paper cites.
Bpr: Bayesian personalized ranking from implicit feedback. UAI 09
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and ST Lars. 2009 · 2009
Earlier work this paper cites.
Factorizing personalized markov chains for next-basket recommendation. In Proceedings of the 19th international conference on World wide web . ACM, 811–820
Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010 · 2010
Earlier work this paper cites.
Recommender systems with social regularization. In Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011
Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, and Irwin King. 2011 · 2011
Earlier work this paper cites.
Like like alike: joint friendship and interest propagation in social networks. In Proceedings of the 20th international conference on World wide web . 537–546
Shuang-Hong Yang, Bo Long, Alex Smola, Narayanan Sadagopan, Zhaohui Zheng, and Hongyuan Zha. 2011 · 2011
Earlier work this paper cites.
BPR: Bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012 · 2012
Earlier work this paper cites.
Exploiting homophily effect for trust prediction. In Proceedings of the sixth ACM international conference on Web search and data mining
Jiliang Tang, Huiji Gao, Xia Hu, and Huan Liu. 2013 · 2013
Earlier work this paper cites.
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 1724–1734
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Leveraging social connections to improve personalized ranking for collaborative filtering. In Proceedings of the 23rd ACM international conference on conference on information and knowledge management . 261–270
Tong Zhao, Julian McAuley, and Irwin King. 2014 · 2014
Cited alongside, same era.
Gated graph sequence neural networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel. 2015 · 2015
Cited alongside, same era.
Session-based Recommendations with Recurrent Neural Networks. In 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016 · 2016
Cited alongside, same era.
Self-attentive sequential recommendation. In 2018 IEEE International Conference on Data Mining (ICDM) . IEEE, 197–206
Wang-Cheng Kang and Julian McAuley. 2018 · 2018
Later among the works it cites.
Attentive recurrent social recommendation. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval . 185–194
Peijie Sun, Le Wu, and Meng Wang. 2018 · 2018
Later among the works it cites.
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. In the Eleventh ACM International Conference
Jiaxi Tang and Ke Wang. 2018 · 2018
Later among the works it cites.
Network embedding based recommendation method in social networks. In Companion Proceedings of the The Web Conference 2018 . 11–12
Yufei Wen, Lei Guo, Zhumin Chen, and Jun Ma. 2018 · 2018
Later among the works it cites.
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval . 675–684
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A dynamic recurrent model for next basket recommendation. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval . 729–732
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, and Tieniu Tan. 2016 · 2016
Cited alongside, same era.
Neural attentive session-based recommendation. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management . ACM, 1419–1428
Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, and Jun Ma. 2017 · 2017
Cited alongside, same era.
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
Hongyuan Mei and Jason M Eisner. 2017 · 2017
Cited alongside, same era.
Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation
Menghan Wang, Xiaolin Zheng, Yang Yang, and Kun Zhang. 2017 · 2017
Cited alongside, same era.
Recurrent recommender networks. In Proceedings of the tenth ACM international conference on web search and data mining . 495–503
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J Smola, and How Jing. 2017 · 2017
Cited alongside, same era.
What to Do Next: Modeling User Behaviors by Time-LSTM.. In IJCAI , Vol. 17. 3602–3608
Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, and Deng Cai. 2017 · 2017
Cited alongside, same era.
Modeling Sequential Online Interactive Behaviors with Temporal Point Process. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management . 873–882
Renqin Cai, Xueying Bai, Zhenrui Wang, Yuling Shi, Parikshit Sondhi, and Hongning Wang. 2018 · 2018
Cited alongside, same era.
Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, and Ji-Rong Wen. 2019 · 2019
Later among the works it cites.
Graph Neural Networks for Social Recommendation
Wenqi Fan, Yao Ma, Qing Li, Yuan He, and Dawei Yin. 2019a · 2019
Later among the works it cites.
Graph attention networks for neural social recommendation. In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) . IEEE, 1320–1327
Nan Mu, Daren Zha, Yuanye He, and Zhihao Tang. 2019 · 2019
Later among the works it cites.
Fully neural network based model for general temporal point processes. In Advances in Neural Information Processing Systems . 2122–2132
Takahiro Omi, Kazuyuki Aihara, et al · 2019
Later among the works it cites.
Session-based social recommendation via dynamic graph attention networks. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining . 555–563
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, and Jian Tang. 2019 · 2019
Later among the works it cites.
BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 1441–1450
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019
Later among the works it cites.
Time Interval Aware Self-Attention for Sequential Recommendation. In Proceedings of the 13th International Conference on Web Search and Data Mining . 322–330
Jiacheng Li, Yujie Wang, and Julian McAuley. 2020 · 2020
Later among the works it cites.
Transformer hawkes process. In International Conference on Machine Learning . PMLR, 11692–11702
Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, and Hongyuan Zha. 2020 · 2020
Later among the works it cites.
Heterogeneous graph attention network. In The World Wide Web Conference . 2022–2032
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip S Yu. 2019 · 2032
Closest in time.
Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems. In The World Wide Web Conference . 2091–2102
Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, and Guihai Chen. 2019c · 2091
Closest in time.