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In this paper, we propose a re-ranking method which employs semantic similarity to improve the quality of search results. We fetch the top N results returned by search engine, and use semantic similarities between the candidate and the query to re-rank the results. We first convert the ranking position to an importance score for each candidate. Then we combine the semantic similarity score with this...
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