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.
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 *