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Accurately Interpreting Clickthrough Data as Implicit Feedback

Authors:

Thorsten Joachims,

Helene Hembrooke,

Geri GayAuthors Info & Claims

ACM SIGIR Forum, Volume 51, Issue 1

Pages 4 - 11

https://doi.org/10.1145/3130332.3130334

Published: 02 August 2017 Publication History

Abstract

This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users' decision process using eyetracking and comparing implicit feedback against manual relevance judgments, we conclude that clicks are informative but biased. While this makes the interpretation of clicks as absolute relevance judgments difficult, we show that relative preferences derived from clicks are reasonably accurate on average.

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Index Terms

Accurately Interpreting Clickthrough Data as Implicit Feedback
1. Information systems
  1. Information retrieval
  2. Information storage systems

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Information & Contributors

Information

Published In

cover image ACM SIGIR Forum

ACM SIGIR Forum Volume 51, Issue 1

June 2017

73 pages

ISSN:0163-5840

DOI:10.1145/3130332

Editors:
Claudia Hauff
Delft University of Technology. The Netherlands
,
Craig Macdonald
University of Glasgow, Glasgow, UK

Issue’s Table of Contents

Copyright © 2017 Copyright is held by the owner/author(s).

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

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Publication History

Published: 02 August 2017

Published in SIGIR Volume 51, Issue 1

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Cited By

Shen YWang SShen YTan SDong YQin WZhuang Y(2024)Evaluating the Usability of mHealth Apps: An Evaluation Model Based on Task Analysis Methods and Eye Movement DataHealthcare10.3390/healthcare1213131012:13(1310)Online publication date: 30-Jun-2024
https://doi.org/10.3390/healthcare12131310
Pradel F(2024)Influence of hate speech about refugees in search algorithms on political attitudes: An online experimentNew Media & Society10.1177/14614448241244735Online publication date: 29-Apr-2024
https://doi.org/10.1177/14614448241244735
Locke HThomas AStotz NMetz A(2024)Information about Tummy Time in infants available on the InternetHealth Education Journal10.1177/0017896924124104383:3(293-308)Online publication date: 30-Mar-2024
https://doi.org/10.1177/00178969241241043
Wan SWu YLiu YXiao LGuo M(2024)A Recommendation Approach Based on Heterogeneous Network and Dynamic Knowledge GraphInternational Journal of Intelligent Systems10.1155/2024/41694022024Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1155/2024/4169402
Tavakoli LTrippas JZamani HScholer FSanderson M(2024)Online and Offline Evaluation in Search ClarificationACM Transactions on Information Systems10.1145/368178643:1(1-30)Online publication date: 4-Nov-2024
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Lin SZhou SChen JFeng YShi QChen CLi YWang C(2024)ReCRec: Reasoning the Causes of Implicit Feedback for Debiased RecommendationACM Transactions on Information Systems10.1145/367227542:6(1-26)Online publication date: 18-Oct-2024
https://dl.acm.org/doi/10.1145/3672275
Xi YLiu WDai XTang RLiu QZhang WYu Y(2024)Utility-Oriented Reranking with Counterfactual ContextACM Transactions on Knowledge Discovery from Data10.1145/367100418:8(1-22)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3671004
Ren YYang QWu YXu WWang YZhang ZBaeza-Yates RBonchi F(2024)Non-autoregressive Generative Models for Reranking RecommendationProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671645(5625-5634)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3671645
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
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Rieger AKulane SGadiraju UPera M(2024)Disentangling Web Search on Debated Topics: A User-Centered ExplorationProceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3627043.3659559(24-35)Online publication date: 22-Jun-2024
https://dl.acm.org/doi/10.1145/3627043.3659559
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