article

Mobile information access: A study of emerging search behavior on the mobile Internet

Authors:

Keith BradleyAuthors Info & Claims

ACM Transactions on the Web (TWEB), Volume 1, Issue 1

Pages 4 - es

https://doi.org/10.1145/1232722.1232726

Published: 01 May 2007 Publication History

Abstract

It is likely that mobile phones will soon come to rival more traditional devices as the primary platform for information access. Consequently, it is important to understand the emerging information access behavior of mobile Internet (MI) users especially in relation to their use of mobile handsets for information browsing and query-based search. In this article, we describe the results of a recent analysis of the MI habits of more than 600,000 European MI users, with a particular emphasis on the emerging interest in mobile search. We consider a range of factors including whether there are key differences between browsing and search behavior on the MI compared to the Web. We highlight how browsing continues to dominate mobile information access, but go on to show how search is becoming an increasingly popular information access alternative especially in relation to certain types of mobile handsets and information needs. Moreover, we show that sessions involving search tend to be longer and more data-rich than those that do not involve search. We also look at the type of queries used during mobile search and the way that these queries tend to be modified during the course of a mobile search session. Finally we examine the overlap among mobile search queries and the different topics mobile users are interested in.

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Cited By

Sabei IGalal MKoopman BZuccon GSakai TIshita EOhshima HHasibi FMao JJose J(2024)Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-pointsProceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region10.1145/3673791.3698417(82-91)Online publication date: 8-Dec-2024
https://dl.acm.org/doi/10.1145/3673791.3698417
Alaofi MArabzadeh NClarke CSanderson M(2024)Generative Information Retrieval EvaluationInformation Access in the Era of Generative AI10.1007/978-3-031-73147-1_6(135-159)Online publication date: 12-Sep-2024
https://doi.org/10.1007/978-3-031-73147-1_6
Véras DNascimento ACallou G(2023)Towards Recommender Systems Integrating Contextual Information from Multiple Domains through Tensor FactorizationArtificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications10.2174/9789815136746123010007(72-109)Online publication date: 14-Aug-2023
https://doi.org/10.2174/9789815136746123010007
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Index Terms

Mobile information access: A study of emerging search behavior on the mobile Internet
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing
  2. World Wide Web

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cover image ACM Transactions on the Web

ACM Transactions on the Web Volume 1, Issue 1

May 2007

164 pages

ISSN:1559-1131

EISSN:1559-114X

DOI:10.1145/1232722

Issue’s Table of Contents

Copyright © 2007 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 2007

Published in TWEB Volume 1, Issue 1

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Cited By

Sabei IGalal MKoopman BZuccon GSakai TIshita EOhshima HHasibi FMao JJose J(2024)Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-pointsProceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region10.1145/3673791.3698417(82-91)Online publication date: 8-Dec-2024
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