Three User Profile Similarity Calculation (UPSC) Methods and Their Evaluation

Collaborative information retrieval (CIR) is a new technique for resolving the current problem of information retrieval systems. A CIR system registers the previous user interactions to response to the subsequent user queries more efficiently. However well-known problem of personalization in retrieval systems is more acute in CIR systems. The goals and the characteristics of two users may be different; so when they send the same query to a CIR system, they may be interested in two different lists of documents. To solve this problem, we have developed a personalized CIR system, called PERCIRS, based onthe user profiles´ similarity to satisfy their queries.Thus selecting an efficient method to calculate the similarity between user profiles is a key factor for enhancing PERCIRSpsilas efficiency. In this paper, we propose three methods for user profile similarity calculation. Finally, we introduce a mechanism for evaluating these methods.