A social friend selection method based on interest and social behavior

Yalan Wei; Dongyue Chen; Hongzhu Xu

doi:10.1117/12.3009112

16 October 2023 A social friend selection method based on interest and social behavior

Yalan Wei, Dongyue Chen, Hongzhu Xu

Author Affiliations +

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 1280311 (2023) https://doi.org/10.1117/12.3009112
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

Social recommendation algorithms that integrate social information have become a research hotspot. However, the existing social recommendation has the problem that it is difficult to obtain reliable and clear friend relationships. Therefore, this paper proposes a social friend selection method FSISB based on interests and social behaviors. This method first defines four types of scenarios to find the explicit/hidden social friends of the target user, and alleviates the sparsity problem of social data by expanding the social scope; then by combining the user’s social structure and long-term/short-term interests to calculate the similarity of social friends, gets reliable and unambiguous social information and complete friend selection. Experiments show that the baseline model integrated with the FSISB method improves the recommendation performance by 0.4%-1.5% compared with the original method, and the performance improvement is more obvious in datasets with sparse social data, which verifies the positive impact of the FSISB method on alleviating data sparseness.

Citation Download Citation

Yalan Wei, Dongyue Chen, and Hongzhu Xu "A social friend selection method based on interest and social behavior", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 1280311 (16 October 2023); https://doi.org/10.1117/12.3009112

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE