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2ndWorkshop on Recommendation in Complex Scenarios (ComplexRec 2018)
Department of Communication and Psychology, Aalborg University, Copenhagen, Denmark.
Huygens ING, Royal Netherlands Academy of Arts and Sciences, Netherlands.
School of Computing, DePaul University, United States.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-2929-0529
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2018 (English)In: RecSys 2018 - 12th ACM Conference on Recommender Systems, Association for Computing Machinery (ACM), 2018, p. 510-511Conference paper, Published paper (Refereed)
Abstract [en]

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. © 2018 ACM. 978-1-4503-5901-6/18/10. . . $15.00

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 510-511
Keywords [en]
Complex recommendation, Constraint-based recommendation, Context-aware recommendation, Feature-driven recommendation, Query-driven recommendation, Task-based recommendation, Constraint-based, Context-aware recommendations, Task-based, Recommender systems
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-16465DOI: 10.1145/3240323.3240332ISI: 000458675100093Scopus ID: 2-s2.0-85056774362Libris ID: r1mqq4wfpx0ws42sISBN: 9781450359016 (print)OAI: oai:DiVA.org:his-16465DiVA, id: diva2:1283844
Conference
2nd workshop on recommendation in complex scenarios (complexrec 2018), 12th ACM Conference on Recommender Systems, Vancouver, Canada, 2nd-7th October 2018
Available from: 2019-01-30 Created: 2019-01-30 Last updated: 2019-07-10Bibliographically approved

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Said, Alan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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