Article

Summarizing local context to personalize global web search

Authors:

Paul-Alexandru Chirita,

Claudiu S. Firan,

Wolfgang NejdlAuthors Info & Claims

CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management

Pages 287 - 296

https://doi.org/10.1145/1183614.1183658

Published: 06 November 2006 Publication History

Abstract

The PC Desktop is a very rich repository of personal information, efficiently capturing user's interests. In this paper we propose a new approach towards an automatic personalization of web search in which the user specific information is extracted from such local desktops, thus allowing for an increased quality of user profiling, while sharing less private information with the search engine. More specifically, we investigate the opportunities to select personalized query expansion terms for web search using three different desktop oriented approaches: summarizing the entire desktop data, summarizing only the desktop documents relevant to each user query, and applying natural language processing techniques to extract dispersive lexical compounds from relevant desktop resources. Our experiments with the Google API showed at least the latter two techniques to produce a very strong improvement over current web search.

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Cited By

Xu XPalani SMunkhbat ALee TDow S(2024)Idea-Centric Search: Four Patterns of Information Seeking During Creative IdeationProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656193(280-291)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656193
Goel SKumar R(2020)SoTaRePoExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.112955141:COnline publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1016/j.eswa.2019.112955
Liu JLiu CBelkin N(2020)Personalization in text information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2423471:3(349-369)Online publication date: 28-Jan-2020
https://dl.acm.org/doi/10.1002/asi.24234
Show More Cited By

Index Terms

Summarizing local context to personalize global web search
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Content analysis and feature selection
  2. World Wide Web
    1. Web applications
    2. Web services

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Published In

cover image ACM Conferences

CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management

November 2006

916 pages

ISBN:1595934332

DOI:10.1145/1183614

General Chair:
Philip S. Yu
IBM T.J. Watson Research Center (USA)
,
Program Chairs:
Vassilis Tsotras
University of California-Riverside (USA)
,
Edward Fox
Virginia Tech (USA)
,
Bing Liu
University of Illinois at Chicago (USA)

Copyright © 2006 ACM.

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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Published: 06 November 2006

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November 6 - 11, 2006

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

Xu XPalani SMunkhbat ALee TDow S(2024)Idea-Centric Search: Four Patterns of Information Seeking During Creative IdeationProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656193(280-291)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656193
Goel SKumar R(2020)SoTaRePoExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.112955141:COnline publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1016/j.eswa.2019.112955
Liu JLiu CBelkin N(2020)Personalization in text information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2423471:3(349-369)Online publication date: 28-Jan-2020
https://dl.acm.org/doi/10.1002/asi.24234
Wen JDou ZSong R(2018)Personalized Web SearchEncyclopedia of Database Systems10.1007/978-1-4614-8265-9_267(2748-2753)Online publication date: 7-Dec-2018
https://doi.org/10.1007/978-1-4614-8265-9_267
Sahraoui AFaiz R(2017)Time Sensitivity for Personalized Search2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA.2017.77(585-592)Online publication date: Oct-2017
https://doi.org/10.1109/AICCSA.2017.77
Wen JDou ZSong R(2017)Personalized Web SearchEncyclopedia of Database Systems10.1007/978-1-4899-7993-3_267-2(1-6)Online publication date: 28-Aug-2017
https://doi.org/10.1007/978-1-4899-7993-3_267-2
Missaoui SFaiz R(2015)A Preferences Based Approach for Better Comprehension of User Information NeedsTransactions on Computational Collective Intelligence XVIII10.1007/978-3-662-48145-5_4(67-85)Online publication date: 31-Jul-2015
https://doi.org/10.1007/978-3-662-48145-5_4
de Campos LFernandez-Luna JHuete JVicente-Lopez E(2014)Using Personalization to Improve XML RetrievalIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2013.7526:5(1280-1292)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.1109/TKDE.2013.75
Gupta KArora A(2014)Web Search Personalization Using Ontological User ProfilesProceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 201210.1007/978-81-322-1602-5_90(849-855)Online publication date: 26-Feb-2014
https://doi.org/10.1007/978-81-322-1602-5_90
Missaoui SFaiz R(2014)A Preferences Based Approach for Better Comprehension of User Information NeedsComputational Collective Intelligence. Technologies and Applications10.1007/978-3-319-11289-3_10(94-103)Online publication date: 2014
https://doi.org/10.1007/978-3-319-11289-3_10
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