ZZZ_References - GetRecced/IR670_Spring2018 GitHub Wiki

[1] Julian McAuley and Jure Leskovec. 2013. Hidden factors and hidden topics: understanding rating dimensions with review text. In Proceedings of the 7th ACM conference on Recommender systems (RecSys '13). ACM, New York, NY, USA, 165-172. DOI=http://dx.doi.org/10.1145/2507157.2507163

[2] Yu, Kuifei, et al. "Towards personalized context-aware recommendation by mining context logs through topic models." Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, Berlin, Heidelberg, 2012.

[3] Yehuda Koren, Robert Bell, and Chris Volinsky. Matrix factorization techniques for recommender systems. 2009.

[4] Yehuda Koren. Factor in the neighbors: scalable and accurate collaborative filtering. 2010. URL: http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/a1-koren.pdf.

[5] Breese, John S., David Heckerman, and Carl Kadie. "Empirical analysis of predictive algorithms for collaborative filtering." Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence. Morgan Kaufmann Publishers Inc., 1998. URL: https://dl.acm.org/citation.cfm?id=2074100