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. But, 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 resolve this problem, we have developed a personalized CIR system, called PERCIRS, which is based on the similarity between two user profiles. In this paper, we propose a new method for User Profile Similarity Calculation UPSC. Finally, we introduce a mechanism for evaluating UPSC methods. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Naderi, H., & Rumpler, B. (2008). Graph-based profile similarity calculation method and evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4956 LNCS, pp. 637–641). https://doi.org/10.1007/978-3-540-78646-7_70
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