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
