Research on collaborative filtering recommendation algorithm based on social network

被引：1
|
作者：
Zhang, Tian [1 ]
机构：
[1] ChangChun Normal University, ChangChun,130032, China
来源：
International Journal of Internet Manufacturing and Services | 2019年 / 6卷 / 04期
关键词：
Collaborative filtering;
D O I：
10.1504/IJIMS.2019.103874
中图分类号：
学科分类号：
摘要：
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. © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码：343 / 356
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