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Determining user's interest in real time

Published: 21 April 2008 Publication History

Abstract

Most of the search engine optimization techniques attempt to predict users interest by learning from the past information collected from different sources. But, a user's current interest often depends on many factors which are not captured in the past information. In this paper, we attempt to identify user's current interest in real time from the information provided by the user in the current query session. By identifying user's interest in real time, the engine could adapt differently to different users in real time. Experimental verification indicates that our approach is encouraging for short queries

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Cited By

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  • (2018)A Semantic Approach for Estimating Consumer Content Preferences from Online Search QueriesMarketing Science10.1287/mksc.2018.111237:6(930-952)Online publication date: 1-Nov-2018
  • (undefined)A Semantic Approach for Estimating Consumer Information Needs from Online Search QueriesSSRN Electronic Journal10.2139/ssrn.2705069

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    cover image ACM Conferences
    WWW '08: Proceedings of the 17th international conference on World Wide Web
    April 2008
    1326 pages
    ISBN:9781605580852
    DOI:10.1145/1367497
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 21 April 2008

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    Author Tags

    1. real time
    2. search engine
    3. users clicks
    4. users' interest

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    View all
    • (2018)A Semantic Approach for Estimating Consumer Content Preferences from Online Search QueriesMarketing Science10.1287/mksc.2018.111237:6(930-952)Online publication date: 1-Nov-2018
    • (undefined)A Semantic Approach for Estimating Consumer Information Needs from Online Search QueriesSSRN Electronic Journal10.2139/ssrn.2705069

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