Interfaces and Human Decision Making for Recommender Systems

Peter Brusilovsky, Marco De Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen

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

Abstract

As an interactive intelligent system, recommender systems are developed to give recommendations that match users' preferences. Since the emergence of recommender systems, a large majority of research focuses on objective accuracy criteria and less attention has been paid to how users interact with the system and the efficacy of interface designs from users' perspectives. The field has reached a point where it is ready to look beyond algorithms, into users' interactions, decision making processes, and overall experience. The series of workshops on Interfaces and Human Decision Making for Recommender Systems focuses on the "human side"of recommender systems. The goal of the research stream featured at the workshop is to improve users' overall experience with recommender systems by integrating different theories of human decision making into the construction of recommender systems and exploring better interfaces for recommender systems. In this summary, we introduce 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems at RecSys'20, review its history, and discuss most important topics considered at the workshop.

Original languageEnglish
Title of host publicationRecSys 2020 - 14th ACM Conference on Recommender Systems
PublisherAssociation of Computing Machinery
Pages613-618
Number of pages6
ISBN (Electronic)9781450375832
DOIs
Publication statusPublished - 22 Sep 2020
Event14th ACM Conference on Recommender Systems, RecSys 2020 - Virtual, Online, Brazil
Duration: 22 Sep 202026 Sep 2020

Publication series

NameRecSys 2020 - 14th ACM Conference on Recommender Systems

Conference

Conference14th ACM Conference on Recommender Systems, RecSys 2020
CountryBrazil
CityVirtual, Online
Period22/09/2026/09/20

Keywords

  • Decision Biases
  • Evaluation Methods
  • Human Computer Interaction
  • Human Decision Making
  • Recommender Systems
  • User Interfaces

ASJC Scopus subject areas

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

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