Re-ranking of Retrieved Web Pages, Based on User Preference
Generally, it is difficult to retrieve only Web-pages just appropriate to our retrieval purpose, even if we were very smart experts who can compose well-specified queries. In order to resolve this problem intelligently, many researchers have investigated the advanced retrieval methods which satisfy user’s requests with feedback control mechanism from retrieval results. However, since in the traditional researches the feedback control mechanism in which users do not directly operate or judge is used, un-necessary operational loads are imposed on users. In this paper, we propose a new re-ranking method based on user actions, which indicate whether the retrieved pages are relevant to their preferences or not: this method does not impose un-necessary operational loads on users, but provides easily operations which can indicate his/her preference appropriately. In addition, a means for modifying the existing queries by intended words is addressed and our method makes it possible to infer the words which are included in target Web-pages.
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