Exchanging tacit community knowledge by talking-virtualized-egos
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
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Now, the results of creative activities using combinations are appearing all over the world. The success of a creative activity is determined by combinations used. However, there are so many combinations, it is impossible to know which ones will be successful. It also takes a lot of time to investigate the possibility of success of all combinations. Therefore, a technique of discovering effective combinations is required. In this paper, we propose a system that discovers effective combinations for creative activities. This system measures the evaluation value of combinations with hit numbers of Web pages. The evaluation value expresses the originality and novelty of a combination. Experimentally, this system predicted combinations seen in the papers that were presented at the 17th Annual Conference of JSAI. The system also predicted combinations seen in new items that were sold in convenience stores from March to May in 2003.