REcSys'19 joint workshop on 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 efcacy of interface designs from users' perspectives. The feld has reached a point where it is ready to look beyond algorithms, into users' interactions, decision making processes, and overall experience. This workshop will focus on the "human side" of recommender systems research. The workshop goal is to improve users' overall experience with recommender systems by integrating diferent theories of human decision making into the construction of recommender systems and exploring better interfaces for recommender systems.

Original languageEnglish
Title of host publicationRecSys 2019 - 13th ACM Conference on Recommender Systems
PublisherAssociation of Computing Machinery
Pages560-561
Number of pages2
ISBN (Electronic)9781450362436
DOIs
Publication statusPublished - 10 Sep 2019
Event13th ACM Conference on Recommender Systems: RecSys 2019 - Copenhagen, Denmark
Duration: 16 Sep 201920 Sep 2019

Publication series

NameRecSys 2019 - 13th ACM Conference on Recommender Systems

Conference

Conference13th ACM Conference on Recommender Systems
CountryDenmark
CityCopenhagen
Period16/09/1920/09/19

Keywords

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

ASJC Scopus subject areas

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

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