Recommending with limited number of trusted users in social networks

Document Type

Conference Proceeding

Source of Publication

2018 9th International Conference on Information and Communication Systems, ICICS 2018

Publication Date

5-4-2018

Abstract

© 2018 IEEE. To estimate the reliability of an unknown node in social networks, existing works involve as many opinions from other nodes as possible. Though this makes it possible to approximate the real property of the unknown nodes, the computational complexity increases as the scale of social networks getting bigger and bigger. We therefore propose a novel method which involve only limited number of social relations to predict the trustworthiness of the unknown nodes. The proposed method involves four rating prediction mechanisms: FM use the recommendation given by the most reliable recommender with the shortest trust propagation distance from the active user as the predicted rating, FMW weights the recommendation in FM, FA uses the mean value of recommendations with the shortest trust propagation distance from the active user as the predicted rating, and FAW weights recommendations in FA. The simulation results show that the proposed method can greatly reduce the rating prediction calculation, while the rating prediction losses are reasonable.

ISBN

9781538643662

Publisher

Institute of Electrical and Electronics Engineers Inc.

Volume

2018-January

First Page

31

Last Page

36

Disciplines

Computer Sciences

Keywords

node reliability, social computing, social networks, trusted user

Scopus ID

85048471162

Indexed in Scopus

yes

Open Access

no

Link to Full Text

Share

COinS