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Title: Social Recommendation Based on Content and Trust
Authors: Chechev, Milen
Koychev, Ivan
Keywords: social recommendation
trust-based recommendation
content-based filtering
social networks
recommendation system
Issue Date: 29-May-2014
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences, Association for the Development of the Information Society
Citation: Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2014, 293p-301p
Series/Report no.: ADIS;2014
Abstract: This paper present analysis on different recommendation approaches for social networks. The main accent is on content based filtering and trust aware recommendations as new formulas for calculating trust are suggested. The experiments are made on data gathered from the social network Facebook via custom made application, as 3 different approaches are compared – content-based filtering, trust based recommendation and hybrid approach. Results shows that trust calculated from the social activities of the users is good source for recommendation as with the hybrid approach the recall is increased.
Description: Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2014
ISBN: 978-954-8986-39-7
Appears in Collections:ADIS 2014

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