poster

Determining user's interest in real time

Authors:

Ranbir S. Sanasam,

Hema A. Murthy,

Timothy A. GonsalvesAuthors Info & Claims

WWW '08: Proceedings of the 17th international conference on World Wide Web

Pages 1115 - 1116

https://doi.org/10.1145/1367497.1367683

Published: 21 April 2008 Publication History

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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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Liu JToubia O(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
https://dl.acm.org/doi/10.1287/mksc.2018.1112
Liu JToubia O(undefined)A Semantic Approach for Estimating Consumer Information Needs from Online Search QueriesSSRN Electronic Journal10.2139/ssrn.2705069
https://doi.org/10.2139/ssrn.2705069

Index Terms

Determining user's interest in real time
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

WWW '08: Proceedings of the 17th international conference on World Wide Web

April 2008

1326 pages

ISBN:9781605580852

DOI:10.1145/1367497

General Chairs:
Jinpeng Huai
Beihang University, China
,
Robin Chen
AT&T Labs, USA
,
Hsiao-Wuen Hon
Microsoft Research Asia, China
,
Yunhao Liu
HK University of Science and Technology, Hong Kong
,
Program Chairs:
Wei-Ying Ma
Microsoft Research Asia, China
,
Andrew Tomkins
Yahoo! Research, USA
,
Xiaodong Zhang
The Ohio State University, USA

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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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

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Published: 21 April 2008

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WWW '08: The 17th International World Wide Web Conference

April 21 - 25, 2008

Beijing, China

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Liu JToubia O(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
https://dl.acm.org/doi/10.1287/mksc.2018.1112
Liu JToubia O(undefined)A Semantic Approach for Estimating Consumer Information Needs from Online Search QueriesSSRN Electronic Journal10.2139/ssrn.2705069
https://doi.org/10.2139/ssrn.2705069

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Search Engine Optimization by Re-Ranking the Product Search Result Based on User Click Data

Re-ranking search results using query logs

User satisfaction in competitive sponsored search

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