Abstract
Based on the research of virtual community service positioning in academic libraries, this paper selected the interest community as main type in construction. In virtual community construction, the key question we must face is the qualitative determination and quantitative calculation of users’ similarity relationship. The solution to this problem mainly includes two stages: the acquiring of users’ interest vector and the interest similarity calculating. The users’ interest vector data can be collected through the condition of users using resources in academic libraries. So, the author put forward an interest similarity algorithm based on information entropy. Here we also introduced threshold function and concentration calculation to classify the communities. This paper also discussed the establishment of community ecosphere and the information resources sharing mechanism.
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