WEI S Y, YE N, ZHANG S, et al. Item-Based Collaborative Filtering Recommendation Algorithm Combining Item Category with Interestingness Measure [C]//2012 International Conference on Computer Science and Service System. Nanjing: IEEE, 2012.
ZHANG H W, SHEN F M, LIU W, et al. Discrete Collaborative Filtering [C]//Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. New York: ACM, 2016.
KOREN Y, BELL R, VOLINSKY C. Matrix Factorization Techniques for Recommender Systems [J]. Computer, 2009, 42(8): 30-37.
HE X N, ZHANG H W, KAN M Y, et al. Fast Matrix Factorization for Online Recommendation with Implicit Feedback [C]//Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM, 2016.
KOREN Y. Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model [C]//Proceeding of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining-KDD. New York: ACM, 2008.
CHRISTOFFEL F, PAUDEL B, NEWELL C, et al. Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks [C]//Proceedings of the 9th ACM Conference on Recommender Systems. New York: ACM, 2015.
COOPER C, LEE S H, RADZIK T, et al. Random Walks in Recommender Systems: Exact Computation and Simulations [C]//Proceedings of the 23rd International Conference on World Wide Web. New York: ACM, 2014.
FOUSS F, PIROTTE A, RENDERS J M, et al. Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation [J]. IEEE Transactions on Knowledge and Data Engineering, 2007, 19(3): 355-369.
FOUSS F, PIROTTE A, SAERENS M. A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation [C]//The 2005 IEEE/WIC/ACM International Conference on Web Intelligence. Compiegne: IEEE, 2005.
RENDLE S, FREUDENTHALER C, GANTNER Z, et al. BPR: Bayesian Personalized Ranking from Implicit Feedback [C]//Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. Montréal: AUAI Press, 2009.
HE X, LIAO L, ZHANG H, et al. Neural Collaborative Filtering [C]//Proceedings of the 26th International Conference on World Wide Web. Perth: International World Wide Web Conferences Steering Committee, 2017.
WANG X, HE X, WANG M, et al. Neural Graph Collaborative Filtering [C]//In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'19), Paris: ACM, 2019.
BRUNA J, ZAREMBA W, SZLAM A, et al. Spectral Networks and Locally Connected Networks on Graphs [C]//International Conference on Learning Representations (ICLR2014). Banff : CBLS, 2014.
HAMILTON W, YING Z, LESKOVEC J. Inductive Representation Learning on Large Graphs [C]. California: Advances in Neural Information Processing Systems, 2017.
HENAFF M, BRUNA J, LeCun Y. Deep Convolutional Networks on Graph-Structured Data [C]. Montréal: Conference on Neural Information Processing Systems, 2015.
KIPF T N, WELLING M. Semi-Supervised Classification With Graph Convolutional Net-Works [C] Toulon: International Conference on Learning Representations, 2017.
VELICKOVIC′ P, CUCURULL G, CASANOVA A, et al. Graph Attention Networks [C]. Vancouver: International Conference on Learning Representations, 2018.
YANG J H, CHEN C M, WANG C J, et al. HOP-Rec: High-Order Proximity for Implicit Recommendation [C]//Proceedings of the 12th ACM Conference on Recommender Systems. Vancouver: ACM, 2018.
LIANG D, CHARLIN L, MCINERNEY J, et al. Modeling User Exposure in Recommendation [C]//Proceedings of the 25th International Conference on World Wide Web. Monteral: International World Wide Web Conferences Steering Committee, 2016.
HARPER F M, KONSTAN J A. The MovieLens Datasets: History and Context [C]. New York: Ksii Transactions on Internet and Information Systems, 2016.
HE R, MCAULEY J. Ups and Downs: Modeling the Visual Evolution of Fashion Trends With One-Class Collaborative Filtering [C]//Proceedings of the 25th International Conference on World Wide Web. Montreal: International World Wide Web Conferences Steering Committee, 2016.