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Incremental Collaborative Filtering for Mobile Devices
RISE, Swedish ICT, SICS. Userware.
RISE, Swedish ICT, SICS. Userware.
Number of Authors: 22005 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes how collaborative filtering can be used for mobile devices. When the user is connected to a central repository, the algorithm selects a subset of profiles to store on the device. When the user is not connected to the repository, the predictions can be incrementally updated to reflect new or updated ratings. Experiments on a movie data set show that the method can dramatically reduce the data needed while still performing nearly as good as a centralized approach.

Place, publisher, year, edition, pages
2005, 1. , p. 5
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-20964OAI: oai:DiVA.org:ri-20964DiVA, id: diva2:1040998
Conference
Proceedings of the 2005 ACM symposium on Applied computing
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2018-01-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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