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

ÀRecommender Systems：An Introduction」の邦訳「情報推薦システム入門」を発注 □Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich / Recommender Systems: An Introduction. 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). Learn SQL from Stanfords Free Online “Introduction to Databases” Course. For a more technical introduction to recommender systems, check out O'Reilly's Programming Collective Intelligence. (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). There are two major methods in designing a recommendation system: content-based method and collaborative filtering method. 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. Recommender systems recommend objects regardless of potential adverse effects of their overcrowding. Nudging Serendipity – Guiding users toward discovery of unknown unknowns. We also illustrate specific computational models that have been proposed for mobile recommender systems and we close the paper by presenting some possible future developments and extension in this area. The Recommender Stammtisch is a meetup for people who are interested in recommender systems, user behavior analytics, machine learning, AI and related topics.