{"id":351854,"date":"2019-01-17T09:47:36","date_gmt":"2019-01-17T17:47:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=351854"},"modified":"2019-01-17T09:47:36","modified_gmt":"2019-01-17T17:47:36","slug":"using-top-ranking-sentences-web-search-result-presentation","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/using-top-ranking-sentences-web-search-result-presentation\/","title":{"rendered":"Using Top-Ranking Sentences for Web Search Result Presentation"},"content":{"rendered":"
In this poster we propose a granular approach for presenting web search results. Sentences, taken from the top documents, are used as fine-grained representations of document content and, when combined in a ranked list, to provide an overview of the set of retrieved documents. Current search engine interfaces assume users examine such results document-by-document. In contrast our approach groups, ranks and presents the contents <\/em>of the top ranked document set. We evaluate our approach by a comparison with traditional forms of web search result presentation.<\/p>\n","protected":false},"excerpt":{"rendered":" In this poster we propose a granular approach for presenting web search results. Sentences, taken from the top documents, are used as fine-grained representations of document content and, when combined in a ranked list, to provide an overview of the set of retrieved documents. Current search engine interfaces assume users examine such results document-by-document. 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