IJCAI 2013 – Tutorial on Recommender Systems, August 4 2013, Bejing, China

held by: O.Univ.-Prof. DI Dr. Gerhard Friedrich (Alpen Adria Universität Klagenfurt) and Univ.-Prof. DI Dr. Dietmar Jannach (TU Dortmund)

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. (Amazon.com, Cambridge University Press Online store).

Previous instances of the tutorial have been given at IJCAI 2011, ACM HT, 2011 and SAC 2012. Further information and resources can be found at http://recommenderbook.net/.

Background

Recommender systems help users navigating through large product assortments, making decisions in e-commerce scenarios and overcome information overload. Probably the most prominent example is the book recommendation service of Amazon.com. Their system takes the behavior, opinions and tastes of a large community of users into account and thus constitutes a social or collaborative recommendation approach. In contrast, content-based approaches rely on product features and textual item descriptions; knowledge-based algorithms, finally, generate item recommendations based on explicit knowledge models from the domain. Technically, recommender systems have their roots in different fields such as information retrieval, text classification, machine learning and decision support systems. The tutorial will offer an introduction to the various basic strategies and methods for building recommender systems and will discuss the different known approaches and how the effectiveness of such systems can be determined.

Content of the Tutorial

  • Collaborative recommendation
  • Content-based filtering
  • Hybrid approaches
  • Evaluating recommender systems
  • Current topics in recommender systems
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 Further information: IJCAI 2013 

 
 

 

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Datum: Dienstag, 8. Januar 2013 15:08
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