山本 岳洋

The conventional Web search has two problems. The first is that users' search intentions are diverse. The second is that search engines return a huge number of search results which are not ordered correctly. These problems decrease the accuracy of Web searches. To solve these problems, in our past work, we proposed a reranking system based on the user's search intentions whereby the user edits a part of the search results and the editing operations are propagated to all of the results to rerank them. In this paper, we propose methods of reranking Web search results that depend on the user's delete and emphasis operations. Then, we describe their evaluation. In addition, we propose a method to support deletion and emphasis by using Tag-Clouds.

This paper proposes methods of reranking Web search results according to user's editing operations while browsing the search results. It is difficult for search engines to rank search results which satisfy the user's search intention adequately because the user's Web search intentions are diverse. Hence, the user must check search results sequentially, or re-search creating a new query. In order to solve this problem, we introduce editing operations such as deletion and emphasis for searched results. When the user deletes a part of the search results, our system degrades search results which include the deleted term or sentence. When the user emphasizes a part of the search results, our system upgrades search results which include the emphasized term or sentence. We describe the implementations of these reranking methods and provide evaluations. © 2007 IEEE.