| Summary: | 碩士 === 國立交通大學 === 科技管理研究所 === 92 === Virtual community is a new topic in knowlodge management. Users with same interests may form a community on internet. By sharing and interchange information with others on internet, users are able to learn from peers and thus enhance the reusability and potential value of information. The learning community is a good tool for knowledge socialization. We can transfer implicit knowledge to others and creat new knowledge easily in knowledge community. In this paper we adopt this concept and implement a knowlodge commuity system which can recommend user book’s classification and relate discussion forum automatically on National Chiao Tung University (NCTU) library. The recommendation method combines fuzzy apriori algorithm with collaborative filtering method. First, we use fuzzy apriori algorithm to discover user group which have the same preference for collaborative filtering. Second, we use collaborative filtering to find a recommend list which contains books collecting from other patrons’ borrowing history. Finally, we use combine recommend list with discussion forum classification to make recommendation. The purpose of this paper are: (1) implementing a knowledge community system in library; (2) providing personalize recommendation service to reduce user searching time; (3) enhancing the interactions among the users-resources, users-users and usersexperts to increase the learning effectiveness.
After using the knowledge community prototype system, we send a questionary to user. The results show that users not only need but also be satisfied with the functions of knowledge community system.
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