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

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

Enhancements to the web application in the end of January 2012. Within the second round of the personalized recommender system, Ciapple has achieved 50x response speed improvement by re-engineering the whole system which satisfied the web application 40x response time over all improvement.Ciapple is now planing for introducing a set of new intelligent features that would enhance the Choozer's shopping experience and thus increase the conversion rate of ChoozOn. Nudging Serendipity – Guiding users toward discovery of unknown unknowns. Introduction to Recommender Systems. This method, introduced by the same author and others from MSR as “Matchbox” is now used in different settings. Based on automated collaborative filtering, these recommender systems were introduced, refined, and commercialized by the team at GroupLens. Recommender systems recommend objects regardless of potential adverse effects of their overcrowding. The paradox of choice; What is a Recommender System? ACM Recommender System 2012: Most discussed and tweeted papers and presentations #RecSys2012. Let's begin another article's series. The recommender problem; General scheme of a RS; Tools of the trade. Now i will talk about recommendation systems and how we can implement some simple recommendation algorithms using information filtering with functional examples. Online Controlled Experiments: Introduction, Learnings, and Humbling Statistics.