Workshop on human decision making in recommender systems: Decisions@RecSys'13

Li CHEN, Marco De Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martijn C. Willemsen

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

A primary function of recommender systems is to help their users to make better choices and decisions. The overall goal of the workshop is to analyse and discuss novel techniques and approaches for supporting effective and efficient human decision making in different types of recommendation scenarios. The submitted papers discuss a wide range of topics, from core algorithmic issues to the management of the human computer interaction.

Original languageEnglish
Title of host publicationRecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems
Pages479-480
Number of pages2
DOIs
Publication statusPublished - 2013
Event7th ACM Conference on Recommender Systems, RecSys 2013 - Hong Kong, China
Duration: 12 Oct 201316 Oct 2013

Publication series

NameRecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems

Conference

Conference7th ACM Conference on Recommender Systems, RecSys 2013
Country/TerritoryChina
CityHong Kong
Period12/10/1316/10/13

Scopus Subject Areas

  • Software

User-Defined Keywords

  • Decision biases
  • Decision making
  • Decision psychology
  • Recommendation algorithms

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