Relevance Feedback on Keyword Space for Interactive Information Retrieval

The relevance feedback techniques have been studied in the field of document retrieval, aiming to generate appropriate queries for userspsila information needs. Conventional relevance feedback techniques are performed on document space, while the resultant queries should be represented in keyword space. In this paper, it is proposed to perform relevance feedback on keyword space. The relevance feedback is supposed to work with interactive keyword map system, which visualizes the relationship between keywords extracted from retrieved results. As the first step for realizing relevance feedback based on interactive keyword map, this paper also proposes the algorithm for extracting the pair of keywords that reflects a userpsilas interest from the keyword map. Experimental results are given for showing how the algorithm works on the keyword map that is modified by the user.