research-article

Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance

Authors:

Kuansan WangAuthors Info & Claims

WWW '13: Proceedings of the 22nd international conference on World Wide Web

Pages 1201 - 1212

https://doi.org/10.1145/2488388.2488493

Published: 13 May 2013 Publication History

Abstract

In this paper, we present a log-based study on user search behavior comparisons on three different platforms: desktop, mobile and tablet. We use three-month search logs in 2012 from a commercial search engine for our study. Our objective is to better understand how and to what extent mobile and tablet searchers behave differently than desktop users. Our study spans a variety of aspects including query categorization, query length, search time distribution, search location distribution, user click patterns and so on. From our data set, we reveal that there are significant differences between user search patterns in these three platforms, and therefore use the same ranking system is not an optimal solution for all of them. Consequently, we propose a framework that leverages a set of domain-specific features, along with the training data from desktop search, to further improve the search relevance for mobile and tablet platforms. Experimental results demonstrate that by transferring knowledge from desktop search, search relevance on mobile and tablet can be greatly improved.

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Cited By

Mohammad YNachouki MMohamed E(2025)Knowledge Management Systems in Business Management Using Knowledge Graphs and Semantic TechnologiesInternational Journal of Knowledge Management10.4018/IJKM.36912121:1(1-29)Online publication date: 13-Feb-2025
https://doi.org/10.4018/IJKM.369121
Liang SWei Z(2024)Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring FrameworkBehavioral Sciences10.3390/bs1411098914:11(989)Online publication date: 24-Oct-2024
https://doi.org/10.3390/bs14110989
Strzelecki AMiklosik A(2024)Device-dependent click-through rate estimation in Google organic search results based on clicks and impressions dataAslib Journal of Information Management10.1108/AJIM-04-2023-0107Online publication date: 10-Jan-2024
https://doi.org/10.1108/AJIM-04-2023-0107
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Index Terms

Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance
1. Information systems
  1. Information retrieval
  2. Information storage systems

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cover image ACM Other conferences

WWW '13: Proceedings of the 22nd international conference on World Wide Web

May 2013

1628 pages

ISBN:9781450320351

DOI:10.1145/2488388

General Chairs:
Daniel Schwabe
PUC-Rio - Brazil
,
Virgílio Almeida
UFMG - Brazil
,
Hartmut Glaser
CGI.br - Brazil
,
Program Chairs:
Ricardo Baeza-Yates
Yahoo! Labs - Spain & Chile
,
Sue Moon
KAIST - South Korea

Copyright © 2013 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
CGIBR: Comite Gestor da Internet no Brazil

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2013

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WWW '13: 22nd International World Wide Web Conference

May 13 - 17, 2013

Rio de Janeiro, Brazil

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WWW '13 Paper Acceptance Rate 125 of 831 submissions, 15%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Mohammad YNachouki MMohamed E(2025)Knowledge Management Systems in Business Management Using Knowledge Graphs and Semantic TechnologiesInternational Journal of Knowledge Management10.4018/IJKM.36912121:1(1-29)Online publication date: 13-Feb-2025
https://doi.org/10.4018/IJKM.369121
Liang SWei Z(2024)Understanding Users’ App-Switching Behavior During the Mobile Search: An Empirical Study from the Perspective of Push–Pull–Mooring FrameworkBehavioral Sciences10.3390/bs1411098914:11(989)Online publication date: 24-Oct-2024
https://doi.org/10.3390/bs14110989
Strzelecki AMiklosik A(2024)Device-dependent click-through rate estimation in Google organic search results based on clicks and impressions dataAslib Journal of Information Management10.1108/AJIM-04-2023-0107Online publication date: 10-Jan-2024
https://doi.org/10.1108/AJIM-04-2023-0107
Pergantis MVarlamis IKanellopoulos NGiannakoulopoulos A(2023)Searching Online for Art and Culture: User Behavior AnalysisFuture Internet10.3390/fi1506021115:6(211)Online publication date: 11-Jun-2023
https://doi.org/10.3390/fi15060211
Fu LLin JLiu WTang RZhang WZhang RYu YChua TLauw HSi LTerzi ETsaparas P(2023)An F-shape Click Model for Information Retrieval on Multi-block Mobile PagesProceedings of the Sixteenth ACM International Conference on Web Search and Data Mining10.1145/3539597.3570365(1057-1065)Online publication date: 27-Feb-2023
https://dl.acm.org/doi/10.1145/3539597.3570365
Dagan AGuy INovgorodov S(2023)Shop by image: characterizing visual search in e-commerceInformation Retrieval Journal10.1007/s10791-023-09418-126:1Online publication date: 3-Mar-2023
https://doi.org/10.1007/s10791-023-09418-1
Stefaniak PStachowiak MKoperska WSkoczylas AŚliwiński P(2022)Application of Wearable Computer and ASR Technology in an Underground Mine to Support Mine Supervision of the Heavy Machinery ChamberSensors10.3390/s2219762822:19(7628)Online publication date: 8-Oct-2022
https://doi.org/10.3390/s22197628
Pergantis MVarlamis IGiannakoulopoulos A(2022)User Evaluation and Metrics Analysis of a Prototype Web-Based Federated Search Engine for Art and Cultural HeritageInformation10.3390/info1306028513:6(285)Online publication date: 4-Jun-2022
https://doi.org/10.3390/info13060285
Aliannejadi MZamani HCrestani FCroft W(2021)Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile AssistantsACM Transactions on Information Systems10.1145/344767839:3(1-30)Online publication date: 5-May-2021
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Park SCho K(2021)Mobile vs desktop user search behaviours of the 1300K site, a Korean shopping search engineThe Electronic Library10.1108/EL-09-2020-026139:2(239-257)Online publication date: 15-Jun-2021
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