Workshop on Recommendation in Complex Scenarios

Over the past decade, recommendation algorithms for ratings prediction and item ranking have steadily matured. However, these state-of-the-art algorithms are typically applied in relatively straightforward scenarios.

In reality, recommendation is often a more complex problem: it is usually just a single step in the user’s more complex background need. These background needs can often place a variety of constraints on which recommendations are interesting to the user and when they are appropriate.

However, relatively little research has been done on these complex recommendation scenarios. The ComplexRec 2017 workshop aims to address this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

  • Toine Bogers, Aalborg University Copenhagen, Denmark
  • Bamshad Mobasher, DePaul University, USA
  • Alan Said, University of Skövde, Sweden
  • Alexander Tuzhilin, NYU Stern School of Business, USA
  • Marijn Koolen, Huygens Institute, Netherlands


Thursday, Aug 31, 2017, 09:00-12:30


Room 3

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