A trust prediction approach by using collaborative filtering and computing similarity in social networks
سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,015
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شناسه ملی سند علمی:
ICKIS01_037
تاریخ نمایه سازی: 25 فروردین 1394
چکیده مقاله:
Along with the increasing popularity of social web sites, users rely more on the trustworthiness information for many online activities among users. However, such social networkdata often suffers from severe data sparsity and aren’t able to provide users with enough information. Therefore,trust prediction has emerged as an important topic in social network research. Nowadays, trust prediction is not calculated with high accuracy. Collaborative filtering approach has become more applicable and is almost used in reco mmendation systems. In this approach, it is tried thatusers’ rating of certain areas to be gathered and the similarity of users or items are measured, the most suitable and nearest item of user’s preference will be realized and recommended.By using this concept and the most innovative and available approach to measure similarity is recommended to the targetuser. Then the trusted user is found. The results demonstrate that the recommended approach significantly improves the accuracy of trust prediction in social networks.
کلیدواژه ها:
نویسندگان
Melika Rezaee Garakani
M.A in Information Technology, Imam Reza International University
Mehrdad Jalali
Ph.D Head of Department of Software Engineering, Mashhad Azad University Mashhad, Iran