Abstract:

E-commerce has greatly changed people′s daily activity and consumption behavior. Mining the potential platform friends effectively has become an important demand for services in the e-commerce. We present an approach for the friend recommendation by the consideration of user interest factors and trust factors. The mixed trust network is designed and built and it contains the authority value and the trust information between the users. In order to achieve personalized friend recommendation, the trust evaluation value and the similarity value based on the interest are combined to measure the association between the users. The experiment on the Epinions dataset is carried  and the  precision, recall and F-value are used as the evaluation metric. Compared to other system of precision 10％~15％ and recall 10％~20％,  the best performance of precision 22.47％ and recall 21.15％. The results show that the proposed method effectively improves the recommended performance.

Key words: authority trust; trust computing; friend recommendation