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Genetically optimizing query expansion for retrieving activities from the web

Authors:

Karapetsas Eleftherios,

Yusuke Fukazawa,

Jun OtaAuthors Info & Claims

WIMS '12: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics

Article No.: 49, Pages 1 - 8

https://doi.org/10.1145/2254129.2254190

Published: 13 June 2012 Publication History

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Abstract

Activities, defined as actions someone can accomplish or things one can create, are located all around the web contained in various How-To and DIY sites. In this paper we are presenting our research on a system focused on retrieving information about activities related to a simple query which is given as input. An overview of the system's design which is based on semantic query expansion is given along with detailed explanation of the optimization of the system's parameters through the use of genetic algorithms. Finally experimental results gathered from both an offline and a limited online evaluation are presented in order to test the efficiency of the system.

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Lu THou SChen ZCui LZhang L(2015)An Intention-Topic Model Based on Verbs Clustering and Short Texts Topic Mining2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing10.1109/CIT/IUCC/DASC/PICOM.2015.124(837-842)Online publication date: Oct-2015
https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.124
Bhatnagar PPareek N(2014)Improving pseudo relevance feedback based query expansion using genetic fuzzy approach and semantic similarity notionJournal of Information Science10.1177/016555151453377140:4(523-537)Online publication date: 19-May-2014
https://doi.org/10.1177/0165551514533771
Zhu DFukazawa YOta J(2013)Tri-layer-cluster Generation Model for Activity PredictionProceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 0110.1109/WI-IAT.2013.51(359-366)Online publication date: 17-Nov-2013
https://dl.acm.org/doi/10.1109/WI-IAT.2013.51
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Index Terms

Genetically optimizing query expansion for retrieving activities from the web
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

WIMS '12: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics

June 2012

571 pages

ISBN:9781450309158

DOI:10.1145/2254129

Conference Chair:
Dumitru Dan Burdescu
University of Craiova, Romania
,
Program Chairs:
Rajendra Akerkar
Western Norway Research Institute, Norway
,
Costin Bădică
SUniversity of Craiova, Romania

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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Association for Computing Machinery

New York, NY, United States

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Published: 13 June 2012

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WIMS '12: 2nd International Conference on Web Intelligence, Mining and Semantics

June 13 - 15, 2012

Craiova, Romania

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Overall Acceptance Rate 140 of 278 submissions, 50%

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Lu THou SChen ZCui LZhang L(2015)An Intention-Topic Model Based on Verbs Clustering and Short Texts Topic Mining2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing10.1109/CIT/IUCC/DASC/PICOM.2015.124(837-842)Online publication date: Oct-2015
https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.124
Bhatnagar PPareek N(2014)Improving pseudo relevance feedback based query expansion using genetic fuzzy approach and semantic similarity notionJournal of Information Science10.1177/016555151453377140:4(523-537)Online publication date: 19-May-2014
https://doi.org/10.1177/0165551514533771
Zhu DFukazawa YOta J(2013)Tri-layer-cluster Generation Model for Activity PredictionProceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 0110.1109/WI-IAT.2013.51(359-366)Online publication date: 17-Nov-2013
https://dl.acm.org/doi/10.1109/WI-IAT.2013.51
Zhu DFukazawa YKarapetsas EOta J(2012)Intuitive Topic Discovery by Incorporating Word-Pair's Connection Into LDAProceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0110.5555/2457524.2457699(303-310)Online publication date: 4-Dec-2012
https://dl.acm.org/doi/10.5555/2457524.2457699

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Improving query expansion using pseudo-relevant web knowledge for information retrieval

A new query reweighting method for document retrieval based on genetic algorithms

Exploratory activity search

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