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Titlebook: Information Retrieval Technology; 12th Asia Informatio Shaoping Ma,Ji-Rong Wen,Xin Zhao Conference proceedings 2016 Springer International

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Modeling Relevance as a Function of Retrieval Rank tends to be incomplete relative to the metrics being used to compute effectiveness, since collection size often makes it financially impractical to judge every document. As a result, a considerable body of work has arisen exploring the question of how to fairly compare systems in the face of unjudg
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Keyqueries for Clustering and Labelingtering process that finally also serve as descriptive cluster labels “for free.” Our novel perspective includes query constraints for clustering and cluster labeling that ensure consistency with a keyword-based reference search engine..Our approach combines different methods in a three-step pipeline
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A Comparative Study of Answer-Contained Snippets and Traditional Snippetsned snippets can help to improve the effectiveness of search intuitively, quantitative study of such intuition remains untouched. In this paper, we first propose a simple answer-contained snippet method for community-based Question and Answer (cQA) search, and then compare our method with the state-
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Learning a Semantic Space of Web Search via Session Dataissued if he/she is not satisfied. We advocate that Web search is governed by a hidden semantic space, and each involved element such as query and URL has its projection, i.e., as a vector, in this space. Each of above actions in the search procedure, i.e. issuing queries or clicking URLs, is an int
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