A Query Classification Scheme For Diversification
نویسندگان
چکیده
Search result diversification enables the modern day search engines to construct a result list that consists of documents that are relevant to the user query and at the same time, diverse enough to meet the diverse user expectations. However, all the queries received by a search engine may not benefit from diversification. Further, different types of queries may benefit from different diversification mechanisms. In this paper we present initial results of our efforts to study the diversification requirements of queries in a web search scenario. We use click entropy as a measure to identify queries that can potentially benefit from search result diversification and propose a query taxonomy based on their diversification requirements. We also present results of experiments to automatically classify queries into these categories.
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