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Article

The influence of caption features on clickthrough patterns in web search

Authors:

Charles L. A. Clarke,

Eugene Agichtein,

Ryen W. WhiteAuthors Info & Claims

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 135 - 142

https://doi.org/10.1145/1277741.1277767

Published: 23 July 2007 Publication History

Abstract

Web search engines present lists of captions, comprising title, snippet, and URL, to help users decide which search results to visit. Understanding the influence of features of these captions on Web search behavior may help validate algorithms and guidelines for their improved generation. In this paper we develop a methodology to use clickthrough logs from a commercial search engine to study user behavior when interacting with search result captions. The findings of our study suggest that relatively simple caption features such as the presence of all terms query terms, the readability of the snippet, and the length of the URL shown in the caption, can significantly influence users' Web search behavior.

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Cited By

Taieb-Maimon M(2025)Enhancing Snippet Visualizations to Improve Web SearchInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2443267(1-20)Online publication date: 15-Jan-2025
https://doi.org/10.1080/10447318.2024.2443267
Sasaoka TYamakata YTajima K(2024)Search Result Presentation for Non-Native Language DocumentsCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645224(89-94)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640544.3645224
Bink MElsweiler D(2024)Balancing Act: Boosting Strategies for Informed Search on Controversial TopicsProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638329(254-265)Online publication date: 10-Mar-2024
https://dl.acm.org/doi/10.1145/3627508.3638329
Show More Cited By

Index Terms

The influence of caption features on clickthrough patterns in web search
1. Information systems
  1. Information retrieval

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Information & Contributors

Information

Published In

cover image ACM Conferences

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

946 pages

ISBN:9781595935977

DOI:10.1145/1277741

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 July 2007

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SIGIR07

Sponsor:

SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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

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Cited By

Taieb-Maimon M(2025)Enhancing Snippet Visualizations to Improve Web SearchInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2443267(1-20)Online publication date: 15-Jan-2025
https://doi.org/10.1080/10447318.2024.2443267
Sasaoka TYamakata YTajima K(2024)Search Result Presentation for Non-Native Language DocumentsCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645224(89-94)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640544.3645224
Bink MElsweiler D(2024)Balancing Act: Boosting Strategies for Informed Search on Controversial TopicsProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638329(254-265)Online publication date: 10-Mar-2024
https://dl.acm.org/doi/10.1145/3627508.3638329
Taieb-Maimon MHarush H(2024)Web Search Engine Results Page Viewing Formats for Different Search TasksInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2376358(1-16)Online publication date: 29-Jul-2024
https://doi.org/10.1080/10447318.2024.2376358
Bink MSchwarz SDraws TElsweiler D(2023)Investigating the Influence of Featured Snippets on User AttitudesProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578323(211-220)Online publication date: 19-Mar-2023
https://dl.acm.org/doi/10.1145/3576840.3578323
Oliveira BTeixeira Lopes C(2023)The Evolution of Web Search User Interfaces - An Archaeological Analysis of Google Search Engine Result PagesProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578320(55-68)Online publication date: 19-Mar-2023
https://dl.acm.org/doi/10.1145/3576840.3578320
Allen GBeijen MMaxwell DGadiraju U(2023)In a Hurry: How Time Constraints and the Presentation of Web Search Results Affect User Behaviour and ExperienceWeb Engineering10.1007/978-3-031-34444-2_16(221-235)Online publication date: 16-Jun-2023
https://doi.org/10.1007/978-3-031-34444-2_16
Suzuki MYamamoto Y(2022)Don’t Judge by Looks: Search User Interface to Make Searchers Reflect on Their Relevance Criteria and Promote Content-Quality-Oriented Web SearchesProceedings of the 2022 ACM Conference on Information Technology for Social Good10.1145/3524458.3547222(1-8)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3524458.3547222
Bink MZimmerman SElsweiler DElsweiler DKruschwitz ULudwig B(2022)Featured Snippets and their Influence on Users’ Credibility JudgementsProceedings of the 2022 Conference on Human Information Interaction and Retrieval10.1145/3498366.3505766(113-122)Online publication date: 14-Mar-2022
https://dl.acm.org/doi/10.1145/3498366.3505766
Peng CGe TWang Y(2022)Optimizing word search within documents by showing results in the contextJournal of Visualization10.1007/s12650-022-00880-526:2(441-455)Online publication date: 26-Sep-2022
https://doi.org/10.1007/s12650-022-00880-5
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