DOI

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

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 publicationProceedings of the 11th ACM Conference on Recommender Systems, RecSys 2017
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages384-385
Number of pages2
ISBN (Electronic)978-1-4503-4652-8
DOIs
Publication statusPublished - 2017
EventRecSys 2017 Workshop on Recommendation in Complex Scenarios: co-located with 11th ACM Conference on Recommender Systems (RecSys 2017) - Como, Italy
Duration: 31 Aug 201731 Aug 2017

Workshop

WorkshopRecSys 2017 Workshop on Recommendation in Complex Scenarios
CountryItaly
CityComo
Period31/08/1731/08/17

ID: 44933150