2nd workshop on recommendation in complex scenarios (ComplexreC 2018)

Antonius Marinus Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Casper Petersen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)


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 2018 workshop addresses this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

Original languageEnglish
Title of host publicationRecSys 2018 - 12th ACM Conference on Recommender Systems
Number of pages2
PublisherAssociation for Computing Machinery
Publication date27 Sept 2018
ISBN (Electronic)9781450359016
Publication statusPublished - 27 Sept 2018
EventRecSys 2018: 12th ACM Conference on Recommender Systems - Vancouver, BC, Canada, Vancouver, Canada
Duration: 2 Oct 20187 Oct 2018
Conference number: 12


ConferenceRecSys 2018: 12th ACM Conference on Recommender Systems
LocationVancouver, BC, Canada
Internet address


  • Complex recommendation
  • Constraint-based recommendation
  • Context-aware recommendation
  • Feature-driven recommendation
  • Query-driven recommendation
  • Task-based recommendation


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