Original scientific paper

https://doi.org/10.17559/TV-20200825171016

A Dynamic Trust Relations-Based Friend Recommendation Algorithm in Social Network Systems

Yun Xue ; Beijing Union University, A3, Yanjing Dongli, Chaoyang district, Beijing

Abstract

A discovered algorithm based on the dynamic trust relations of users in a social network system (SNS) was proposed aiming at getting useful information more efficiently in an SNS. The proposed dynamic model combined the interests and trust relations of users to explore their good friends for recommendations. First, the network based on the interests and trust relations of users was set up. Second, the temporal factor was added to the model, then a dynamic model of the degree of the interest and trust relations of the users was calculated. Lastly, the similarities among the users were measured via this dynamic model, and the recommendation list of good friends was achieved. Results showed that the proposed algorithm effectively described the changes in the interest similarities and trust relations of users with time, and the recommended result was more accurate and effective than the traditional ones.

Keywords

friend recommendation; social networking service (SNS); trust computing; trust relations

Hrčak ID:

251549

URI

https://hrcak.srce.hr/251549

Publication date:

5.2.2021.

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