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

An attack against a collaborative filtering recommender system consists of a set of attack profiles, each contained biased rating data associated with a fictitious user identity, and including a target item, the item that the attacker wishes that item- based collaborative filtering might provide significant robustness compared to the user-based algorithm, but, as this paper shows, the item-based algorithm also is still vulnerable in the face of some of the attacks we introduced. Introduction to Recommender Systems. The paper you link deals strictly with the latter. We introduced recommender systems and compared them to relevant work in TEL like adaptive educational hypermedia, learning networks, educational data mining and learning analytics. For a more technical introduction to recommender systems, check out O'Reilly's Programming Collective Intelligence. 9:30 Introductions – all participants introduce themselves. As for the former perhaps the following would be more useful: http://paloalto.thlab.net/publications/80. Free ebook Recommender Systems: An Introduction pdf download.Recommender Systems: An Introduction by Dietmar Jannach, Markus Zanker, Alexander Felfernig and Gerhard Friedrich pdf download free. Introducing Docear's Research Paper Recommender System. There is no glitch in any transaction. In this demo paper we present Docear's research paper recommender system. The paradox of choice; What is a Recommender System? Its interface is clean and the tools are very easy to use. Earlier this month, Netflix (an American provider of on-demand Internet streaming media) offered some details about the working of its recommendation system. The recommender problem; General scheme of a RS; Tools of the trade. Cloudera University is offering a new training course on data science titled Introduction to Data Science – Building Recommender Systems. The course is coming to the Washington DC area 20-22 Feb 2012. A wish for recommender system at Expedia. Recommendation systems: privacy and interactivity. Recommender systems are fast becoming as standard a tool as search engines, helping users to discover content that interests them with very little effort.