An Improvement Method for Online Response of BBS Articles Retrieval with Users Evaluation
Yoshihiro Morita, Masanori Akiyoshi, Norihisa Komoda · IEEJ Transactions on Electronics Information and Systems · 2010
Recently, BBS (Bulletin Board System) has been frequently used to exchange users' opinions on the Internet. An efficient retrieval method that uses past other users' evaluation has been proposed to retrieve target information efficiently and correctly. In this method, it is necessary to cluster past queries to calculate accurately thread score. However, this method has defect from practical points of views, because the time for clustering is so long that an user feels stress. Therefore, we proposed an improvement method which utilizes past clustering result for online response of BBS articles retrieval with users evaluation. Through an experiment, the accuracy of retrieval was almost same as compared with the conventional method, and the average time for retrieval reduced from 25.4 seconds to 3.1 on average using 890 threads.