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

Introduction: For this blog assignment, I summarized an interesting academic paper I found using Google Scholar. LN consist of participants and learning actions that are related to a certain domain (Koper and Sloep 2002). 1.1: Learning Networks (LN) can facilitate self-organized, learner-centred lifelong learning. Providing sound way-finding support for lifelong learners in Learning Networks requires dedicated personalised recommender systems (PRS), that offer the learners customised advise on which learning actions or programs to study next. Video of UCB Data Mining Lecture on Collaborative filtering and Recommender Systems Here is Apr 13, 2011 Lecture in UC. 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. A model of a trust-based recommendation system on a social network. Feb 2, Data Mining Lecture, Introduction, R, Logistic Regression. The fourth and final speaker was Sean Owen, founder at Myrrix, a startup that is building complete, real-time, scalable recommender system, built on Apache Mahout. Earlier this month, Netflix (an American provider of on-demand Internet streaming media) offered some details about the working of its recommendation system. Feb 9, Data Mining Lecture, Naive Bayes. This method, introduced by the same author and others from MSR as “Matchbox” is now used in different settings. The book is a very helpful introduction for all researcher that want to conduct research on personalization, learner support and knowledge management through recommender systems. Homepage, where users can explicitly rate movies they have seen. For a more technical introduction to recommender systems, check out O'Reilly's Programming Collective Intelligence. The introduction of the first approach is based on the article Matrix Factorization Techniques for Recommender Systems by Koren, Bell and Volinsky.