A Collaborative Filtering Method for Trustworthy Cloud Service Selection
Guojun Sheng, Ying Cao, Yanxia Lu, Yao Li · 2016
This paper investigates the problem of trustworthy cloud service selection based on collaborative filtering in open network environment. First, it searches a set of Cloud services with same or similar functions according to the user's requirement, then computes the collection of users that have similar preferences for the target user based on their common evaluations, and obtains the recommendable user set for each candidate service, computes the recommendation degree for each service using it's similarity, and sorts the candidate services according to the recommendation degree to the target user. The experimental results show that the referral effect increases with the increase in the number of user evaluations, and with the increase of malicious user evaluations in the system, compared to other service recommendation methods, it only has a slight impact on the referral result of this method.