A fuzzy information propagation algorithm for social network based recommender systems

Gergely Posfai, Gabor Magyar, L. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Web-based services that have become prevalent in people’s everyday life generate huge amounts of data, which makes it hard for the users to search and discover interesting information. Therefore, tools for selecting and delivering personalized contents for users are crucial components of modern web applications. Social recommender systems suggest items to users assuming the knowledge of the users’ social network. This new approach can alleviate the common weaknesses of traditional recommender systems, which completely ignore the users’ personal relationships in the recommendation process. In this paper, a social network based fuzzy recommendation technique is presented, which propagates information through the users’ social network and predicts how users would probably like a certain product in the future. Experimental results on a public dataset show that the proposed method can significantly outperform popular and widely used recommendation system methods in terms of recommendation coverage while maintaining prediction accuracy and performs especially well for cold start users, that have only rated a few items or no item at all previously.

Original languageEnglish
Title of host publicationInformation Technology and Computational Physics
PublisherSpringer Verlag
Pages35-49
Number of pages15
ISBN (Print)9783319442594
DOIs
Publication statusPublished - Jan 1 2017
EventCongress on Information Technology, Computational and Experimental Physics, CITCEP 2015 - Krakow, Poland
Duration: Dec 18 2015Dec 20 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume462
ISSN (Print)2194-5357

Other

OtherCongress on Information Technology, Computational and Experimental Physics, CITCEP 2015
CountryPoland
CityKrakow
Period12/18/1512/20/15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Posfai, G., Magyar, G., & Kóczy, L. (2017). A fuzzy information propagation algorithm for social network based recommender systems. In Information Technology and Computational Physics (pp. 35-49). (Advances in Intelligent Systems and Computing; Vol. 462). Springer Verlag. https://doi.org/10.1007/978-3-319-44260-0_3