Research Article
A Social Network Recommendation Algorithm Based on Information Aging
@INPROCEEDINGS{10.4108/eai.13-7-2017.2270445, author={Zhiyong Yang and Haiyang Wang and Shun Li}, title={A Social Network Recommendation Algorithm Based on Information Aging}, proceedings={10th EAI International Conference on Mobile Multimedia Communications}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2017}, month={12}, keywords={social network information aging timeliness trust network}, doi={10.4108/eai.13-7-2017.2270445} }- Zhiyong Yang
Haiyang Wang
Shun Li
Year: 2017
A Social Network Recommendation Algorithm Based on Information Aging
MOBIMEDIA
EAI
DOI: 10.4108/eai.13-7-2017.2270445
Abstract
Aiming at the problem of low timeliness in social network recommendation systems, a new social network recommendation algorithm using information aging was presented in this paper. The paper proposed a trust network recommendation system based on trust mechanism and a timeliness evaluation model was established to predict the influence of the current time of information with rating records. A novel algorithm to find the current user's nearest neighbors in proposed trust network by the influence of the current information and a highly timeliness recommendation list was generated by the information of nearest neighbors. The practical results show that the proposed algorithm improves the timeliness of the recommendation list by comparing with the traditional recommendation algorithm.
