research-article

Using anchor texts with their hyperlink structure for web search

Authors:

Ji-Rong WenAuthors Info & Claims

SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

Pages 227 - 234

https://doi.org/10.1145/1571941.1571982

Published: 19 July 2009 Publication History

Abstract

As a good complement to page content, anchor texts have been extensively used, and proven to be useful, in commercial search engines. However, anchor texts have been assumed to be independent, whether they come from the same Web site or not. Intuitively, an anchor text from unrelated Web sites should be considered as stronger evidence than that from the same site. This paper proposes two new methods to take into account the possible relationships between anchor texts. We consider two relationships in this paper: links from the same site and links from related sites. The importance assigned to the anchor texts in these two situations is discounted. Experimental results show that these two new models outperform the baseline model which assumes independence between hyperlinks.

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Cited By

Xie YLiu XXiong CChen HDuh WHuang HKato MMothe JPoblete B(2023)Unsupervised Dense Retrieval Training with Web AnchorsProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3592080(2476-2480)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3592080
Fröbe MGünther SProbst MPotthast MHagen M(2022)The Power of Anchor Text in the Neural Retrieval EraAdvances in Information Retrieval10.1007/978-3-030-99736-6_38(567-583)Online publication date: 5-Apr-2022
https://doi.org/10.1007/978-3-030-99736-6_38
Ma ZDou ZXu WZhang XJiang HCao ZWen JDemartini GZuccon GCulpepper JHuang ZTong H(2021)Pre-training for Ad-hoc RetrievalProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3482286(1212-1221)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3482286
Show More Cited By

Index Terms

Using anchor texts with their hyperlink structure for web search
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

July 2009

896 pages

ISBN:9781605584836

DOI:10.1145/1571941

General Chairs:
James Allan
University of Massachusetts Amherst, USA
,
Javed Aslam
Northeastern University, USA
,
Program Chairs:
Mark Sanderson
University of Sheffield, UK
,
ChengXiang Zhai
University of Illinois at Urbana-Champaign, USA
,
Justin Zobel
University of Melbourne, Australia

Copyright © 2009 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: 19 July 2009

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SIGIR '09

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SIGIR '09: The 32nd International ACM SIGIR conference on research and development in Information Retrieval

July 19 - 23, 2009

MA, Boston, USA

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Xie YLiu XXiong CChen HDuh WHuang HKato MMothe JPoblete B(2023)Unsupervised Dense Retrieval Training with Web AnchorsProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3592080(2476-2480)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3592080
Fröbe MGünther SProbst MPotthast MHagen M(2022)The Power of Anchor Text in the Neural Retrieval EraAdvances in Information Retrieval10.1007/978-3-030-99736-6_38(567-583)Online publication date: 5-Apr-2022
https://doi.org/10.1007/978-3-030-99736-6_38
Ma ZDou ZXu WZhang XJiang HCao ZWen JDemartini GZuccon GCulpepper JHuang ZTong H(2021)Pre-training for Ad-hoc RetrievalProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3482286(1212-1221)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3482286
Alghamdi HAlhaidari F(2021)Extended User Preference Based Weighted Page Ranking Algorithm2021 National Computing Colleges Conference (NCCC)10.1109/NCCC49330.2021.9428844(1-6)Online publication date: 27-Mar-2021
https://doi.org/10.1109/NCCC49330.2021.9428844
Zhang KXiong CLiu ZLiu Z(2020)Selective Weak Supervision for Neural Information RetrievalProceedings of The Web Conference 202010.1145/3366423.3380131(474-485)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366423.3380131
Li JXing ZSun A(2019)LinkLiveWorld Wide Web10.1007/s11280-018-0621-y22:4(1699-1725)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11280-018-0621-y
Samar TTraub MOssenbruggen JHardman LVries A(2018)Quantifying retrieval bias in Web archive searchInternational Journal on Digital Libraries10.1007/s00799-017-0215-919:1(57-75)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s00799-017-0215-9
Samar TTraub Mvan Ossenbruggen Jde Vries A(2016)Comparing Topic Coverage in Breadth-First and Depth-First Crawls Using Anchor TextsResearch and Advanced Technology for Digital Libraries10.1007/978-3-319-43997-6_11(133-146)Online publication date: 10-Aug-2016
https://doi.org/10.1007/978-3-319-43997-6_11
Ryang HYun UPyun GLee GKim J(2015)Ranking algorithm for book reviews with user tendency and collective intelligenceMultimedia Tools and Applications10.1007/s11042-014-2101-474:16(6209-6227)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1007/s11042-014-2101-4
Huurdeman HKamps JSamar Tde Vries ABen-David ARogers R(2015)Lost but not forgotten: finding pages on the unarchived webInternational Journal on Digital Libraries10.1007/s00799-015-0153-316:3-4(247-265)Online publication date: 3-Jun-2015
https://doi.org/10.1007/s00799-015-0153-3
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