Recommender Systems: An Introduction by Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich

Recommender Systems: An Introduction



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Recommender Systems: An Introduction Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich ebook
Format: pdf
Page: 353
ISBN: 0521493366, 9780521493369
Publisher: Cambridge University Press


See schedule below (detailed schedule here: http://cslinux0.comp.hkbu.edu.hk/~fwang/srs2013/?page_id=79. I am trying to build a recommender system which would recommend webpages to the user based on his actions(google search, clicks, he can also explicitly rate webpages). Http://muricoca.github.com/recommendation-lectures/index.html. On the other hand, recommender systems can significantly affect the success of social media websites, ensuring each user is presented with the most attractive and relevant content, on a personal basis. The recommender problem; General scheme of a RS; Tools of the trade. Introduction to Recommender Systems. Let's talk about bad recommendations. The paradox of choice; What is a Recommender System? Chapter 01: Introduction to Recommender Systems. Today we introduce UnSuggester, “the worst recommendation system ever devised™.” UnSuggester is a brand new idea in recommender technology. Tags, comments, votes, and explicit people relationships, which can be used to enhance recommendations. 13:00 – 13:30 – Opening and Introduction. Nudging Serendipity – Guiding users toward discovery of unknown unknowns. Recommender systems recommend objects regardless of potential adverse effects of their overcrowding. In particular, we introduce a design principle by focusing on the dynamic relationship between the recommender sys- tem's performance and the number of new training samples the system requires. The link for the online guide is available here.