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Modeling clicks beyond the first result page

Authors:

Aleksandr Chuklin,

Pavel Serdyukov,

Maarten de RijkeAuthors Info & Claims

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Pages 1217 - 1220

https://doi.org/10.1145/2505515.2507859

Published: 27 October 2013 Publication History

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Abstract

Most modern web search engines yield a list of documents of a fixed length (usually 10) in response to a user query. The next ten search results are usually available in one click. These documents either replace the current result page or are appended to the end. Hence, in order to examine more documents than the first 10 the user needs to explicitly express her intention. Although clickthrough numbers are lower for documents on the second and later result pages, they still represent a noticeable amount of traffic.

We propose a modification of the Dynamic Bayesian Network (DBN) click model by explicitly including into the model the probability of transition between result pages. We show that our new click model can significantly better capture user behavior on the second and later result pages while giving the same performance on the first result page.

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Cited By

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Fu XPerez-Ortiz MLipani AOosterhuis HBast HXiong C(2024)An Analysis of Stopping Strategies in Conversational Search SystemsProceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3664190.3672524(247-257)Online publication date: 2-Aug-2024
https://dl.acm.org/doi/10.1145/3664190.3672524
Singh SGupta SKumar SGupta BAlhalabi WArya VZhang J(2024)A novel Cumulative Indicator score using Indicator averaging for optimizing local business websites of enterprise systemsEnterprise Information Systems10.1080/17517575.2023.230165818:2Online publication date: 17-Jan-2024
https://doi.org/10.1080/17517575.2023.2301658
Sagot SBen Arfa N(2023)Enhancing Efficiency of Crowdfunding Campaign FinancingInternational Journal of Strategic Decision Sciences10.4018/IJSDS.32779014:1(1-24)Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.4018/IJSDS.327790
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Index Terms

Modeling clicks beyond the first result page
1. Information systems
  1. Information retrieval

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Published In

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

October 2013

2612 pages

ISBN:9781450322638

DOI:10.1145/2505515

General Chairs:
Qi He
LinkedIn, USA
,
Arun Iyengar
IBM T.J. Watson Research Center, USA
,
Program Chairs:
Wolfgang Nejdl
L3S Research Center, Germany
,
Jian Pei
Simon Fraser University, Canada
,
Rajeev Rastogi
Amazon, India

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2013

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CIKM'13

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

October 27 - November 1, 2013

California, San Francisco, USA

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CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;

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

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CIKM '25

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The 34th ACM International Conference on Information and Knowledge Management

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Fu XPerez-Ortiz MLipani AOosterhuis HBast HXiong C(2024)An Analysis of Stopping Strategies in Conversational Search SystemsProceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3664190.3672524(247-257)Online publication date: 2-Aug-2024
Singh SGupta SKumar SGupta BAlhalabi WArya VZhang J(2024)A novel Cumulative Indicator score using Indicator averaging for optimizing local business websites of enterprise systemsEnterprise Information Systems10.1080/17517575.2023.230165818:2Online publication date: 17-Jan-2024
Sagot SBen Arfa N(2023)Enhancing Efficiency of Crowdfunding Campaign FinancingInternational Journal of Strategic Decision Sciences10.4018/IJSDS.32779014:1(1-24)Online publication date: 7-Aug-2023
Cajias MZeitler J(2023)Quantifying the drivers of residential housing demand – an interpretable machine learning approachJournal of European Real Estate Research10.1108/JERER-02-2023-000816:2(172-199)Online publication date: 17-Jul-2023
Mulryan PNi Chleirigh NO’Mahony ACrowley CRyan DMcLaughlin PMcEntee MMaher MO’Connor O(2022)An evaluation of information online on artificial intelligence in medical imagingInsights into Imaging10.1186/s13244-022-01209-413:1Online publication date: 25-Apr-2022
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Chuklin AMarkov Ide Rijke M(2022)Click Models for Web SearchundefinedOnline publication date: 10-Mar-2022
Jagerman RMarkov IRijke M(2020)Safe Exploration for Optimizing Contextual BanditsACM Transactions on Information Systems10.1145/338567038:3(1-23)Online publication date: 21-Apr-2020
Sagot SFougères AOstrosi E(2018)Collaborative engineering decision-making for building information channels and improving Web visibility of product manufacturersAdvanced Engineering Informatics10.1016/j.aei.2018.07.00338:C(264-276)Online publication date: 1-Oct-2018
Luh CYang SHuang T(2016)Estimating Google’s search engine ranking function from a search engine optimization perspectiveOnline Information Review10.1108/OIR-04-2015-011240:2(239-255)Online publication date: 11-Apr-2016

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