Research on collaborative filtering recommendation algorithm based on social network
by Tian Zhang
International Journal of Internet Manufacturing and Services (IJIMS), Vol. 6, No. 4, 2019

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.

Online publication date: Mon, 02-Dec-2019

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