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- W2473275110 abstract "Many emerging organizations are developing their applications on web. Search engine is an information retrieval system which is designed to rummage information over the World Wide Web (WWW). Commercial search engines such as Google, Bing, and Yahoo provide access to a wide range of specialized services that are called as Verticals. All the data in web are scattered in different types of Verticals like image, video, news, etc. Conventional information retrieval system does not gives a blended results rather it gives a ranked lists of search results. Aggregated search is a current evolution in a Web search. It assembles information from different verticals and hooked on a single result page. This paper gives an overview of aggregated search and its existing limitations. It also contains exhaustive survey of the current evaluation on advance information retrieval. Our propose scheme satisfies user’s need by placing the desired verticals on the top of the web result page. It predicts verticals based on the user’s past behavior. Thus, our proposed scheme is highly user centric and also it reduces user’s browsing time and efforts." @default.
- W2473275110 created "2016-07-22" @default.
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- W2473275110 date "2016-01-01" @default.
- W2473275110 modified "2023-09-22" @default.
- W2473275110 title "Enhancing Web Search Results Using Aggregated Search" @default.
- W2473275110 cites W2011394745 @default.
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- W2473275110 doi "https://doi.org/10.1007/978-981-10-0135-2_65" @default.
- W2473275110 hasPublicationYear "2016" @default.
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