Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21)

Peter Brusilovsky, Marco De Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Recommender systems were originally developed as interactive intelligent systems that can proactively guide users to items that match their preferences. Despite its origin on the crossroads of HCI and AI, the majority of research on recommender systems gradually focused on objective accuracy criteria paying less and less attention to how users interact with the system as well as the efficacy of interface designs from users' perspectives. This trend is reversing with the increased volume of research that looks 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 the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems at RecSys'21, review its history, and discuss most important topics considered at the workshop.

Original languageEnglish
Title of host publicationRecSys 2021 - 15th ACM Conference on Recommender Systems
PublisherAssociation of Computing Machinery
Pages783-786
Number of pages4
ISBN (Electronic)9781450384582
DOIs
Publication statusPublished - 13 Sept 2021
Event15th ACM Conference on Recommender Systems: RECSYS 2021 - Amsterdam, Netherlands
Duration: 27 Sept 20211 Oct 2021

Conference

Conference15th ACM Conference on Recommender Systems
Abbreviated titleRECSYS 2021
Country/TerritoryNetherlands
CityAmsterdam
Period27/09/211/10/21

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21)'. Together they form a unique fingerprint.

Cite this