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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. Feb 21, 2013 - If you happen to be in Rome, Italy, on September 21, you are welcome to this seminar on online recommendation systems based on social network analysis. Well, I believe it is the first MOOC on the topic, but there are other material available online. Edition (October 28, 2010) | ISBN: 0387858199 | 842 pages | PDF | 19 MB. 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. Jan 29, 2011 - Recommender Systems Handbook Springer; 1st Edition. Apr 21, 2013 - “Recommender systems.” Communications of the ACM 40.3 (1997): 56-58. Mar 31, 2010 - Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. 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? Aug 13, 2013 - Last week I posted about Coursera's Introduction to Recommender Systems course. 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. More: Recommender Systems Handbook. [2] Ricci, Francesco, and Bracha Shapira. Http://dx.doi.org/10.1007/978-0-387-85820-3_5 [5] M. Koren and R.Bell, "Advances in collaborative filtering," Recommender System Handbook, Springer, 2011, pp. Nov 9, 2012 - Among the recommender systems algorithms available in the web, we can distinguish the following: Duine, Apache .