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

However, today's recommender system approaches almost exclusively focus on code reuse and do not consider modeling tasks in model-driven development. In fact, recommendation systems are a billion-dollar industry, and growing. Talks that stood out most for me were Barry Smyth's introduction to the state-of-the-art on recommender systems and Pádraig Cunnigham's similar introduction to the Clique cluster's work on social network analysis. In academic jargon this problem is known as Collaborative Filtering, and a lot of ink has been spilled on the matter. Andreas Geyer-Schulz, Uni Karlsruhe In a rather German introduction, he noted that one of the main goals of having a recommender system is to save both the time of the user and the staff member. 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. Fleder and Kartik Hosanagar called Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity. For a more technical introduction to recommender systems, check out O'Reilly's Programming Collective Intelligence. The argument comes from a paper by Daniel M. What's missing from his discussion is the introduction of recommendation engine services. This webinar provides an introduction to recommender systems, describing the different types of recommendation technologies available and how they are used in different applications today. EMusic, the second largest online music store after iTunes, introduced a new recommendation system on its site late last year. The paper you link deals strictly with the latter. Scientific Recommender Systems Prototype. Better Search will not be the difference in next generation TV. Today, I want to introduce my ideas for recommenders for my prototype to you. Recommendation systems: privacy and interactivity. I like his New Oil analogy and, given my interest in recommender systems, thought it appropriate to continue the analogy meme with the statement that Recommender Systems will be the New Oil Refineries. The presentation will be based on the book “Recommender Systems – An Introduction” that is co-authored by the tutorial presentaers and was published by Cambridge Universty Press in 2012. As for the former perhaps the following would be more useful: http://paloalto.thlab.net/publications/80. Crude oil has limited applications until it as been processed of the user experience.