Reranking and Classifying Search Results Exhaustively Based on Edit-and-Propagate Operations
Search engines return a huge number of Web search results, and the user usually checks merely the top 5 or 10 results. However, the user sometimes must collect information exhaustively such as collecting all the publications which a certain person had written, or gathering a lot of useful information which assists the user to buy. In this case, the user must repeatedly check search results that are clearly irrelevant. We believe that people would use a search system which provides the reranking or classifying functions by the user’s interaction. We have already proposed a reranking system based on the user’s edit-and-propagate operations. In this paper, we introduce the drag-and-drop operation into our system to support the user’s exhaustive search.
KeywordsReranking term-based-feedback exhaustive search
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