Recommender Systems: An Introduction Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich
Publisher: Cambridge University Press

As for the former perhaps the following would be more useful: http://paloalto.thlab.net/publications/80. Ŧ果翻墙，可以更好的浏览这个blog. Xlvector – Recommender System. Skip to content Introduction to Recommender System (Brief Introduction). Feb 9, Data Mining Lecture, Naive Bayes. The argument comes from a paper by Daniel M. The introduction of the first approach is based on the article Matrix Factorization Techniques for Recommender Systems by Koren, Bell and Volinsky. Recommendation systems: privacy and interactivity. For a more technical introduction to recommender systems, check out O'Reilly's Programming Collective Intelligence. The whole construct rests on implicit assumption that moving from 48 customers and 48 products to millions of customers/products spread over multitude of social strata will not introduce factors rendering the entire thesis incongruous. Brief introduction of recommender system. Feb 2, Data Mining Lecture, Introduction, R, Logistic Regression. The paper you link deals strictly with the latter. The main thrust of the talk had to do with the advantage gained by using multiple behaviors as the source of input data for building a recommendation engine. Fleder and Kartik Hosanagar called Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity. Video of UCB Data Mining Lecture on Collaborative filtering and Recommender Systems Here is Apr 13, 2011 Lecture in UC. Homepage, where users can explicitly rate movies they have seen.