Information Filter for Ambiguous Information Retrieval

The quick spread of web services has triggered the flood of information, and requests people to choose a valid set of queries for useful information retrieval in order to extract what they really need. In actual, however, appropriate query generation is recognized as one of the advanced tasks, and an information retrieval system that allows ambiguous search is desired. This paper addresses this problem through the information filter with kansei engineering approach. Kansei engineering is an activity to embrace psychological needs and feelings of users into engineering field, and often requires psychological profiling. We propose a methodology to apply kansei engineering to information filter in computer scientific fashion, so as to utilize the information filter as a recommender that accepts ambiguous information search.