These paper and Blog lists are about Recommender System.
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Bobadilla, Jesús, et al. "Recommender systems survey." Knowledge-based systems 46 (2013): 109-132.Cited 1546
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Zhang, Shuai, Lina Yao, and Aixin Sun. "Deep learning based recommender system: A survey and new perspectives." arXiv preprint arXiv:1707.07435 (2017).Cited 117
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Ricci, Francesco, Lior Rokach, and Bracha Shapira. "Recommender systems: introduction and challenges." Recommender systems handbook. Springer, Boston, MA, 2015. 1-34.Cited 3899
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Shi, Jiarong, Xiuyun Zheng, and Wei Yang. "Survey on Probabilistic Models of Low-Rank Matrix Factorizations." Entropy 19.8 (2017): 424.Cited 2
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Koren, Yehuda, Robert Bell, and Chris Volinsky. "Matrix factorization techniques for recommender systems." Computer 8 (2009): 30-37.Cited 5124--Netflix prize winner (Bellkor) paper. -
Salakhutdinov, Ruslan, Andriy Mnih, and Geoffrey Hinton. "Restricted Boltzmann machines for collaborative filtering." Proceedings of the 24th international conference on Machine learning. ACM, 2007.Cited 1333
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Mnih, Andriy, and Ruslan R. Salakhutdinov. "Probabilistic matrix factorization." Advances in neural information processing systems. 2008. Cited 2566 -
Salakhutdinov, Ruslan, and Andriy Mnih. "Bayesian probabilistic matrix factorization using Markov chain Monte Carlo." Proceedings of the 25th international conference on Machine learning. ACM, 2008. Cited 1074
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Rendle, Steffen. "Factorization machines." Data Mining (ICDM), 2010 IEEE 10th International Conference on. IEEE, 2010. Cited 596
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Hofmann, Thomas. "Probabilistic latent semantic analysis." Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence. Morgan Kaufmann Publishers Inc., 1999. Cited 2502
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Marlin, Benjamin, and Richard S. Zemel. "The multiple multiplicative factor model for collaborative filtering." Proceedings of the twenty-first international conference on Machine learning. ACM, 2004. Cited 73
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MATRIX FACTORIZATION METHODS FOR COLLABORATIVE FILTERING / Andriy Mnih and Ruslan Salakhutdinov / University of Toronto, Machine Learning Group. Slides -
Probabilistic Matrix Factorization / Piyush Rai / IIT Kanpur Slides
Understanding matrix factorization for recommendationWhat is the difference between Probabilistic Matrix Factorization (PMF) and SVD?Matrix Factorization: A Simple Tutorial and Implementation in Python
- Neural Network Matrix Factorization
- He, Xiangnan, et al. "Neural collaborative filtering." Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, 2017.361
- Guo, Huifeng, et al. "DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction." arXiv preprint arXiv:1804.04950 (2018).67
- Covington, Paul, Jay Adams, and Emre Sargin. "Deep neural networks for youtube recommendations." Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016. 342
- Chen, Chong, et al. "Neural A entional Rating Regression with Review-level Explanations." (WWW.2018).