Combining decentralized collaborative filtering on PDAs with multi-touch tabletops for group recommendation

Wolfgang Woerndl, Marc René Frieß

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

2 Scopus citations

Abstract

We have designed and implemented an approach based on decentralized, item-based collaborative filtering to recommend items on Personal Digital Assistants (PDAs). The system exchanges rating vectors among the mobile devices, computes local matrices of item similarity and utilizes them to generate recommendations. In addition, our approach incorporates recommendations for groups of users that are present at a public shared display in a collocated setting. This system can be extended with interaction on a multi-touch tabletop to improve group recommendations using critique-based recommender techniques.

Original languageEnglish
Title of host publicationProceedings of the 2012 International Conference on Collaboration Technologies and Systems, CTS 2012
Pages591-595
Number of pages5
DOIs
StatePublished - 2012
Event2012 13th International Conference on Collaboration Technologies and Systems, CTS 2012 - Denver, CO, United States
Duration: 21 May 201225 May 2012

Publication series

NameProceedings of the 2012 International Conference on Collaboration Technologies and Systems, CTS 2012

Conference

Conference2012 13th International Conference on Collaboration Technologies and Systems, CTS 2012
Country/TerritoryUnited States
CityDenver, CO
Period21/05/1225/05/12

Keywords

  • collaborative filtering
  • group recommendation
  • mobile application
  • multi-touch tabletop
  • Recommender system

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