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Recommender Systems Handbook Bracha Shapira, Francesco Ricci, Lior Rokach, Paul B. Kantor
Publisher: Springer

I would appreciate a link to a good paper or even better handbook. Zanker, Developing Constraint-based Recommenders, in: Recommender Systems Handbook, Springer Verlag, 2010. Feb 3, 2014 - We propose, a recommender system that ensures a better visual quality on user's N-screen devices and the efficient utilization of available access network bandwidth with user preferences. I probably should clarify: I have a graph and want to build recommender engine Any pointers on how to adjust RBM or MRF to the task? Shapira, “Introduction to recommender systems handbook,” in Recommender Systems Handbook, pp. Mar 21, 2014 - All I can find now is somehow based on random walks or graph kernels, which is nice, but I want to have a more or less solid probabilistic foundation for my recommender system for bounds and estimations and stuff which usually comes with probabilistic models. À�Recommender Systems Handbook》读书笔记（一）. Dec 27, 2013 - Recommender systems/ engines/ platforms, are "software tools and techniques that provide suggestions for items and/or services to be of use to a user." The internet Recommender Systems Handbook (Springer): 1–35. © levimin | Powered by LOFTER. The proposed system estimates the available bandwidth and visual quality F. Dec 19, 2013 - levimin · 私信 · 归档 · RSS; 搜索. 1–35, Springer, New York, NY, USA, 2011.