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Enterprise and desktop search

Authors:

Pavel Dmitriev,

Pavel Serdyukov,

Sergey ChernovAuthors Info & Claims

WWW '10: Proceedings of the 19th international conference on World wide web

Pages 1345 - 1346

https://doi.org/10.1145/1772690.1772922

Published: 26 April 2010 Publication History

Abstract

With the growing amount of information on users' desktops and increasing scale and complexity of intranets, Enterprise and Desktop Search are becoming two increasingly important Information Retrieval applications. While the challenges arising there are not completely different from those that the web community has faced for years, advanced web search solutions are often unable to address them properly. In this tutorial we give a research prospective on distinctive features of both Enterprise and Desktop Search, explain typical search scenarios, and review existing ranking techniques and algorithms.

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Cited By

Cao QWeber NBalasubramanian NBalasubramanian ASong JKim MLane NBalan R(2019)DeQAProceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services10.1145/3307334.3326071(27-40)Online publication date: 12-Jun-2019
https://dl.acm.org/doi/10.1145/3307334.3326071
Deolekar RDangare A(2018)Enterprise Search: A New Dimension in Information Retrieval2018 3rd International Conference for Convergence in Technology (I2CT)10.1109/I2CT.2018.8529602(1-6)Online publication date: Apr-2018
https://doi.org/10.1109/I2CT.2018.8529602
Anand R(2017)The next generation of enterprise knowledge management systems for the IT service industryBig Data and Smart Service Systems10.1016/B978-0-12-812013-2.00010-1(151-163)Online publication date: 2017
https://doi.org/10.1016/B978-0-12-812013-2.00010-1
Show More Cited By

Index Terms

Enterprise and desktop search
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Information

Published In

cover image ACM Other conferences

WWW '10: Proceedings of the 19th international conference on World wide web

April 2010

1407 pages

ISBN:9781605587998

DOI:10.1145/1772690

General Chairs:
Michael Rappa
North Carolina State University, USA
,
Paul Jones
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Juliana Freire
University of Utah, USA
,
Soumen Chakrabarti
Indian Institute of Technology, India

Copyright © 2010 Copyright is held by the author/owner(s).

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2010

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WWW '10

WWW '10: The 19th International World Wide Web Conference

April 26 - 30, 2010

North Carolina, Raleigh, USA

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

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Cited By

Cao QWeber NBalasubramanian NBalasubramanian ASong JKim MLane NBalan R(2019)DeQAProceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services10.1145/3307334.3326071(27-40)Online publication date: 12-Jun-2019
https://dl.acm.org/doi/10.1145/3307334.3326071
Deolekar RDangare A(2018)Enterprise Search: A New Dimension in Information Retrieval2018 3rd International Conference for Convergence in Technology (I2CT)10.1109/I2CT.2018.8529602(1-6)Online publication date: Apr-2018
https://doi.org/10.1109/I2CT.2018.8529602
Anand R(2017)The next generation of enterprise knowledge management systems for the IT service industryBig Data and Smart Service Systems10.1016/B978-0-12-812013-2.00010-1(151-163)Online publication date: 2017
https://doi.org/10.1016/B978-0-12-812013-2.00010-1
De Virgilio RMaccioni ATorlone R(2015)A Unified Framework for Flexible Query Answering over Heterogeneous Data SourcesFlexible Query Answering Systems 201510.1007/978-3-319-26154-6_22(283-294)Online publication date: 21-Oct-2015
https://doi.org/10.1007/978-3-319-26154-6_22
Li YLiu ZZhu H(2014)Enterprise search in the big data eraProceedings of the VLDB Endowment10.14778/2733004.27330717:13(1717-1718)Online publication date: 1-Aug-2014
https://dl.acm.org/doi/10.14778/2733004.2733071
Shieh JLin CWang SWu J(2014)Relational term-suggestion graphs incorporating multipartite concept and expertise networksACM Transactions on Intelligent Systems and Technology10.1145/2542182.25422015:1(1-25)Online publication date: 3-Jan-2014
https://dl.acm.org/doi/10.1145/2542182.2542201
Shieh JLin CWang SWu J(2013)Building Multi-Modal Relational Graphs for Multimedia RetrievalMultimedia Data Engineering Applications and Processing10.4018/978-1-4666-2940-0.ch009(171-192)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-2940-0.ch009
Wu JShieh JLin CWang S(2011)Building Multi-Modal Relational Graphs for Multimedia RetrievalInternational Journal of Multimedia Data Engineering & Management10.4018/jmdem.20110401022:2(19-41)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.4018/jmdem.2011040102
Reichhold MKerschbaumer JFliedl G(2011)Optimizing enterprise search by automatically relating user context to textual document contentProceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies10.1145/2024288.2024316(1-6)Online publication date: 7-Sep-2011
https://dl.acm.org/doi/10.1145/2024288.2024316
Pound JPaparizos STsaparas PSellis TMiller RKementsietsidis AVelegrakis Y(2011)Facet discovery for structured web searchProceedings of the 2011 ACM SIGMOD International Conference on Management of data10.1145/1989323.1989342(169-180)Online publication date: 12-Jun-2011
https://dl.acm.org/doi/10.1145/1989323.1989342
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