Abstract
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 currently developed interface focuses on the information flow from the interface to users. As the first step for realizing relevance feedback (RF) based on interactive keyword map, this paper proposes the algorithm for extracting the pair of keywords that reflects a user’s 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, and for discussing the difference between the RF based on keyword map and conventional RF methods.
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Takama, Y., Kajinami, T. (2007). Proposal of Relevance Feedback Based on Interactive Keyword Map. In: Sakurai, A., Hasida, K., Nitta, K. (eds) New Frontiers in Artificial Intelligence. JSAI JSAI 2003 2004. Lecture Notes in Computer Science(), vol 3609. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71009-7_48
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DOI: https://doi.org/10.1007/978-3-540-71009-7_48
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