Temporal-Contextual Recommendation in Real-Time

作者: Yifei Ma , Balakrishnan (Murali) Narayanaswamy , Haibin Lin , Hao Ding

DOI: 10.1145/3394486.3403278

关键词: PopularitySet (psychology)Collaborative filteringData scienceScale (chemistry)MetadataRecommender systemComputer scienceEvent (computing)

摘要: Personalized real-time recommendation has had a profound impact on retail, media, entertainment and other industries. However, developing recommender systems for every …

参考文章(38)
Ian J Goodfellow, None, On distinguishability criteria for estimating generative models arXiv: Machine Learning. ,(2014)
Scott Sanner, Lexing Xie, Suvash Sedhain, Aditya Krishna Menon, AutoRec: Autoencoders Meet Collaborative Filtering the web conference. pp. 111- 112 ,(2015) , 10.1145/2740908.2742726
Yue Shi, Martha Larson, Alan Hanjalic, Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges ACM Computing Surveys. ,vol. 47, pp. 3- ,(2014) , 10.1145/2556270
Yehuda Koren, Collaborative filtering with temporal dynamics Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09. pp. 447- 456 ,(2009) , 10.1145/1557019.1557072
Ilya Sutskever, Geoffrey Hinton, Alex Krizhevsky, Ruslan Salakhutdinov, Nitish Srivastava, Dropout: a simple way to prevent neural networks from overfitting Journal of Machine Learning Research. ,vol. 15, pp. 1929- 1958 ,(2014)
Sébastien Jean, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio, On Using Very Large Target Vocabulary for Neural Machine Translation Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). ,vol. 1, pp. 1- 10 ,(2015) , 10.3115/V1/P15-1001
Guy Shani, Asela Gunawardana, Evaluating Recommendation Systems Recommender Systems Handbook. pp. 257- 297 ,(2011) , 10.1007/978-0-387-85820-3_8
Elon Portugaly, Léon Bottou, D. Max Chickering, Denis X. Charles, Dipankar Ray, Jonas Peters, Patrice Simard, Ed Snelson, Joaquin Quiñonero-Candela, Counterfactual reasoning and learning systems: the example of computational advertising Journal of Machine Learning Research. ,vol. 14, pp. 3207- 3260 ,(2013)
Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Sequence to Sequence Learning with Neural Networks neural information processing systems. ,vol. 27, pp. 3104- 3112 ,(2014)