Kansei Database and AR*-Tree for Speeding up the Retrieval
نویسنده
چکیده
Information retrieval systems are certainly useroriented, where how to reflect user’s subjectivity becomes an important and hard problem. When a user wants to search for something, for instance a passenger car or a costume, he/she normally have a kind of feeling such as “graceful and looks intelligent, but not so expensive.” This feeling is called as “Kansei” in Japanese, which means the user’s psychological feeling as well as the physiological issues. Unfortunately, traditional information retrieval systems cannot efficiently deal with the search requests given with Kansei words. In recent decades, Kansei retrieval systems that can process Kansei words and Kansei inABStRACt
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