research-article

Learning query-biased web page summarization

Authors:

Hong-Jiang ZhangAuthors Info & Claims

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

Pages 555 - 562

https://doi.org/10.1145/1321440.1321518

Published: 06 November 2007 Publication History

Abstract

Query-biased Web page summarization is the summarization of a Web page reflecting the relevance of it to a specific query. It plays an important role in search results representation of Web search engines. In this paper, we propose a learning-based query-biased Web page summarization method. The summarization problem is solved within the typical sentence selection framework. Different from existing Web page summarization methods that use page content or link context alone, both of them are considered as the sources of sentences in this work. Most of existing learning-based summarization methods treat summarization as a sentence classification problem and train a classifier to discriminate between extracted sentences and non-extracted sentences of all training documents. The basic assumption of these methods is that sentences from different documents are comparable with respect to the class information. In contrast to the classification scheme, a ranking scheme is introduced to rank extracted sentences higher than non-extracted sentences of each training document. The underlying assumption that sentences within a document are comparable is weaker and more reasonable than the assumption of classification-based scheme. Extensive results using intrinsic evaluation metrics gauge many aspects of the proposed method.

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Cited By

Takatsu HOkuda MMatsuyama YHonda HFujie SKobayashi T(2021)Personalized Extractive Summarization for a News Dialogue System2021 IEEE Spoken Language Technology Workshop (SLT)10.1109/SLT48900.2021.9383568(1044-1051)Online publication date: 19-Jan-2021
https://doi.org/10.1109/SLT48900.2021.9383568
Chen JMao JLiu YZhang MMa S(2020)Improving Search Snippets in Context-Aware Web Search ScenariosInformation Retrieval10.1007/978-3-030-56725-5_1(3-16)Online publication date: 10-Aug-2020
https://doi.org/10.1007/978-3-030-56725-5_1
Thönssen BWitschel HRusinov O(2018)Determining Information Relevance Based on Personalization Techniques to Meet Specific User NeedsBusiness Information Systems and Technology 4.010.1007/978-3-319-74322-6_3(31-45)Online publication date: 7-Mar-2018
https://doi.org/10.1007/978-3-319-74322-6_3
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Index Terms

Learning query-biased web page summarization
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

cover image ACM Conferences

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

November 2007

1048 pages

ISBN:9781595938039

DOI:10.1145/1321440

Co-chair:
Alberto H. F. Laender,
Conference Chairs:
André O. Falcão
Universidade de Lisboa, Portugal
,
Øystein Haug Olsen,
General Chair:
Mário J. Silva
(Universidade de Lisboa, Portugal)
,
Program Chairs:
Ricardo Baeza-Yates,
Deborah L. McGuinness,
Bjorn Olstad

Copyright © 2007 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 2007

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November 6 - 10, 2007

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Cited By

Takatsu HOkuda MMatsuyama YHonda HFujie SKobayashi T(2021)Personalized Extractive Summarization for a News Dialogue System2021 IEEE Spoken Language Technology Workshop (SLT)10.1109/SLT48900.2021.9383568(1044-1051)Online publication date: 19-Jan-2021
https://doi.org/10.1109/SLT48900.2021.9383568
Chen JMao JLiu YZhang MMa S(2020)Improving Search Snippets in Context-Aware Web Search ScenariosInformation Retrieval10.1007/978-3-030-56725-5_1(3-16)Online publication date: 10-Aug-2020
https://doi.org/10.1007/978-3-030-56725-5_1
Thönssen BWitschel HRusinov O(2018)Determining Information Relevance Based on Personalization Techniques to Meet Specific User NeedsBusiness Information Systems and Technology 4.010.1007/978-3-319-74322-6_3(31-45)Online publication date: 7-Mar-2018
https://doi.org/10.1007/978-3-319-74322-6_3
Watanabe ASasano RTakamura HOkumura M(2016)Generating Personalized Snippets forWeb Page Recommender SystemsTransactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.C-G4131:5(C-G41_1-12)Online publication date: 2016
https://doi.org/10.1527/tjsai.C-G41
Spirin NKotov AKarahalios KMladenov VIzhutov PMukhopadhyay SZhai CBertino ECrestani FMostafa JTang JSi LZhou XChang YLi YSondhi P(2016)A Comparative Study of Query-biased and Non-redundant Snippets for Structured Search on Mobile DevicesProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983699(2389-2394)Online publication date: 24-Oct-2016
https://dl.acm.org/doi/10.1145/2983323.2983699
Mao XWang DHao YYuan WHuang H(2016)A Comparative Study of Answer-Contained Snippets and Traditional SnippetsInformation Retrieval Technology10.1007/978-3-319-48051-0_5(56-67)Online publication date: 15-Oct-2016
https://doi.org/10.1007/978-3-319-48051-0_5
Alhindi AKruschwitz UFox CAlbakour M(2015)Profile-Based Summarisation for Web Site NavigationACM Transactions on Information Systems10.1145/269966133:1(1-39)Online publication date: 17-Feb-2015
https://dl.acm.org/doi/10.1145/2699661
Leal Bando LScholer FTurpin A(2015)Query-biased summary generation assisted by query expansionJournal of the Association for Information Science and Technology10.1002/asi.2322266:5(961-979)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1002/asi.23222
Nadamoto AAramaki EAbekawa TMurakami Y(2013)Acquiring the Gist of Social Network Service Threads via Comparison with WikipediaWeb-Based Multimedia Advancements in Data Communications and Networking Technologies10.4018/978-1-4666-2026-1.ch005(85-97)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-2026-1.ch005
Tanaka YSuhara YHiroshima NToda HSusaki S(2013)Snippet Generation by Identifying Attribute Associated InformationInformation Retrieval Technology10.1007/978-3-642-45068-6_5(50-61)Online publication date: 2013
https://doi.org/10.1007/978-3-642-45068-6_5
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