Title: Research on collaborative filtering recommendation algorithm based on social network

Authors: Tian Zhang

Addresses: ChangChun Normal University, ChangChun, 130032, China

Abstract: For users of social-based social networking services, we propose a local random walk-based friend recommendation approach by bringing together social network and tie strength. We firstly construct a weighted friend network as the basis for friend recommendation. Then, users' similarity is determined by a local random walk-based similarity measure on a weighted friend network. Experiments show that we use real social network data to evaluate the new method. The validity of the method is illustrated.

Keywords: friend recommendation; social networking services; collaborative filtering.

DOI: 10.1504/IJIMS.2019.103874

International Journal of Internet Manufacturing and Services, 2019 Vol.6 No.4, pp.343 - 356

Received: 04 Dec 2017
Accepted: 16 Sep 2018

Published online: 28 Nov 2019 *

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