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Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010)

  • Peter Brusilovsky
  • , Iván Cantador
  • , Yehuda Koren
  • , Tsvi Kuflik
  • , Markus Weimer

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

Abstract

This workshop presents the current status related to the design, development and evaluation of recommender systems in educational settings. It emphasizes the importance of recommender systems for Technology Enhanced Learning (TEL) to support learners with personalized learning resources and suitable peer learners to improve their learning process. Moreover, it proposes a dataTEL challenge to obtain data sets from TEL applications that can be used to benchmark algorithms specifically for the TEL context.

Original languageEnglish
Title of host publicationRecSys'10 - Proceedings of the 4th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery
Pages375
Number of pages1
ISBN (Print)9781450304429
DOIs
StatePublished - 26 Sep 2010

Publication series

NameRecSys'10 - Proceedings of the 4th ACM Conference on Recommender Systems

Keywords

  • Information heterogeneity
  • Information integration
  • Recommender systems

ASJC Scopus subject areas

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

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