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RecSys'17 joint workshop on interfaces and human decision making for recommender systems

  • Peter Brusilovsky
  • , Marco de Gemmis
  • , Alexander Felfernig
  • , Pasquale Lops
  • , John O'Donovan
  • , Nava Tintarev
  • , Martijn Willemsen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

As intelligent interactive systems, recommender systems focus on determining predictions thatfit the wishes and needs of users. Still, a large majority of recommender systems research focuses on accuracy criteria and much less attention is paid to how users interact with the system, and in which way the user interface has an influence on the selection behavior of the users. Consequently, it is important to look beyond algorithms. The main goals of the IntRS workshop are to analyze the impact of user interfaces and interaction design, and to explore human interaction with recommender systems from a human decision making perspective. Methodologies for evaluating these aspects are also within the scope of the workshop.

Originele taal-2Engels
TitelRecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc.
Pagina's384-385
Aantal pagina's2
ISBN van geprinte versie978-1-4503-4652-8
DOI's
StatusGepubliceerd - 27 aug. 2017
Evenement11th ACM Conference on Recommender Systems, RecSys 2017 - Como, Italië
Duur: 27 aug. 201731 aug. 2017
Congresnummer: 11

Congres

Congres11th ACM Conference on Recommender Systems, RecSys 2017
Verkorte titelRecSys 2017
Land/RegioItalië
StadComo
Periode27/08/1731/08/17

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