technical-note

AnchorWoman: top-k structured mobile web search engine

Authors:

Wookey Lee,

James Jung-Hoon Lee,

Young-Kuk Kim,

Carson Kai-Sang LeungAuthors Info & Claims

CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

Pages 2089 - 2090

https://doi.org/10.1145/1645953.1646317

Published: 02 November 2009 Publication History

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Abstract

With advances in technology, mobile handheld devices-such as PDAs-have become very popular. In many real-life situations, users want to find structuring information using these mobile devices, which are convenient to use but have relatively limited resources. In this paper, we present a top-k structured mobile Web search engine. It uses a top-k adaptable search-tree method that utilizes hierarchical structure of hypermedia objects to effectively look for structuring information from the mobile Web model. The engine, which is implemented in the mobile environment, provides users with top-k adaptive Web search recommendations for mobile handheld devices.

References

[1]

Z. Bar-Yossef and L.-T. Mashiach. Local approximation of pagerank and reverse pagrank. In Proc. CIKM 2008, pp. 279--288.

Digital Library

Google Scholar

[2]

Y. Cui and V. Roto. How people use the Web on mobile devices. In Proc. WWW 2008, pp. 905--914.

Digital Library

Google Scholar

[3]

Wookey Lee and C.K.-S. Leung. Structural top-k Web navigation with inclusive query. In Proc. IEEE ICIT 2009, pp. 1486--1491.

Digital Library

Google Scholar

[4]

G. Paltoglou et al. Hybrid results merging. In Proc. CIKM 2007, pp. 321--330.

Digital Library

Google Scholar

[5]

M. Sauter. Communication Systems for the Mobile Information Society. Wiley, 2006.

Digital Library

Google Scholar

Cited By

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Cuzzocrea ALee WLeung C(2015)High-Recall Information Retrieval from Linked Big DataProceedings of the 2015 IEEE 39th Annual Computer Software and Applications Conference - Volume 0210.1109/COMPSAC.2015.152(712-717)Online publication date: 1-Jul-2015
https://dl.acm.org/doi/10.1109/COMPSAC.2015.152
Padhariya NMondal AMadria S(2015)Top-k query processing in mobile-P2P networks using economic incentive schemesPeer-to-Peer Networking and Applications10.1007/s12083-015-0391-69:4(731-751)Online publication date: 4-Aug-2015
https://doi.org/10.1007/s12083-015-0391-6
Lee WLeung CSong J(2014)Reducing Noises for Recall-Oriented Patent RetrievalProceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing10.1109/BDCloud.2014.14(579-586)Online publication date: 3-Dec-2014
https://dl.acm.org/doi/10.1109/BDCloud.2014.14
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Index Terms

AnchorWoman: top-k structured mobile web search engine
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
  2. World Wide Web
    1. Web applications
    2. Web services

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Published In

CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

November 2009

2162 pages

ISBN:9781605585123

DOI:10.1145/1645953

General Chairs:
David Cheung
University of Hong Kong, Hong Kong
,
Il-Yeol Song
Drexel University, USA
,
Program Chairs:
Wesley Chu
UCLA, USA
,
Xiaohua Hu
Drexel University, USA
,
Jimmy Lin
University of Maryland, USA

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2009

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CIKM '09: Conference on Information and Knowledge Management

November 2 - 6, 2009

Hong Kong, China

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

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Cuzzocrea ALee WLeung C(2015)High-Recall Information Retrieval from Linked Big DataProceedings of the 2015 IEEE 39th Annual Computer Software and Applications Conference - Volume 0210.1109/COMPSAC.2015.152(712-717)Online publication date: 1-Jul-2015
https://dl.acm.org/doi/10.1109/COMPSAC.2015.152
Padhariya NMondal AMadria S(2015)Top-k query processing in mobile-P2P networks using economic incentive schemesPeer-to-Peer Networking and Applications10.1007/s12083-015-0391-69:4(731-751)Online publication date: 4-Aug-2015
https://doi.org/10.1007/s12083-015-0391-6
Lee WLeung CSong J(2014)Reducing Noises for Recall-Oriented Patent RetrievalProceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing10.1109/BDCloud.2014.14(579-586)Online publication date: 3-Dec-2014
https://dl.acm.org/doi/10.1109/BDCloud.2014.14
Lee WLee JKim J(2014)Social Network Community Detection Using Strongly Connected ComponentsTrends and Applications in Knowledge Discovery and Data Mining10.1007/978-3-319-13186-3_53(596-604)Online publication date: 26-Nov-2014
https://doi.org/10.1007/978-3-319-13186-3_53
Lee WLoh WSohn M(2012)Searching Steiner trees for web graph queryComputers and Industrial Engineering10.1016/j.cie.2011.11.01362:3(732-739)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1016/j.cie.2011.11.013
Padhariya NMondal AGoyal VShankar RMadria S(2011)EcoTopProceedings of the 16th international conference on Database systems for advanced applications: Part II10.5555/1997251.1997275(251-265)Online publication date: 22-Apr-2011
https://dl.acm.org/doi/10.5555/1997251.1997275
Padhariya NMondal AGoyal VShankar RMadria S(2011)EcoTop: An Economic Model for Dynamic Processing of Top-k Queries in Mobile-P2P NetworksDatabase Systems for Advanced Applications10.1007/978-3-642-20152-3_19(251-265)Online publication date: 2011
https://doi.org/10.1007/978-3-642-20152-3_19
Lee W(2010)Finding Steiner trees for web information retrievalThe 40th International Conference on Computers & Indutrial Engineering10.1109/ICCIE.2010.5668293(1-6)Online publication date: Jul-2010
https://doi.org/10.1109/ICCIE.2010.5668293

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Personalizing Mobile Web Search for Location Sensitive Queries

Context-Aware User's Interests for Personalizing Mobile Search

Text messaging and retrieval techniques for a mobile health information system

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Personalizing Mobile Web Search for Location Sensitive Queries

Context-Aware User's Interests for Personalizing Mobile Search

Text messaging and retrieval techniques for a mobile health information system

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