Relevance feedback based on interactive keyword map system

The relevance feedback based on a keyword map is proposed so that a Web interface can be more interactive. There exists vast amount of information in the Web, from which users usually gather information without definite information needs. Therefore, it is difficult for users to organize and understand what they have gathered from the Web. From this viewpoint, we have proposed the concept of RBA-based interaction, in which analysis operation aims to assist users in understanding the context of their Web interaction. However, the prototype interface currently focuses on the information flow from the interface to users. In this paper, the pair of keywords that reflects a user´s interest is extracted from the keyword map modified by the user. Experimental results show relevant documents can be retrieved with the extracted keyword pair.