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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationRecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems
PublisherAssociation of Computing Machinery
Pages384-385
Number of pages2
ISBN (Electronic)9781450346528
DOIs
Publication statusPublished - 27 Aug 2017
Externally publishedYes
Event11th ACM Conference on Recommender Systems, RecSys 2017 - Como, Italy
Duration: 27 Aug 201731 Aug 2017

Publication series

NameRecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems

Conference

Conference11th ACM Conference on Recommender Systems, RecSys 2017
CountryItaly
CityComo
Period27/08/1731/08/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Information Systems
  • Software

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