research-article

How do users grow up along with search engines?: a study of long-term users' behavior

Authors:

Shaoping MaAuthors Info & Claims

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

Pages 1795 - 1800

https://doi.org/10.1145/2505515.2505650

Published: 27 October 2013 Publication History

Abstract

With a stronger reliance on search engines in our daily life, a large number of studies have investigated user behavior characteristics in Web search. However, previous studies mainly focus on large-scale query log data and analyze temporal changes based on all users without differentiating different user groups; few have really traced a fixed and long-term group of users and have distinguished the behavior of long-term users from ordinary users to analyze long-term temporal changes unbiasedly. In this paper we look into the interaction logs of these two user groups to analyze differences between these two user groups and to better understand how users grow up along with Web search engines. Statistical and experimental results show that there exist temporal changes of both user groups. There are also significant differences between these two user groups in the frequency of interaction, complexity of search tasks, and query formulation conventions. The findings have implications for how Web search engines should better support users' information seeking process by tackling complex search tasks and complicated query formulations.

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Cited By

Preum SStankovic JQi YBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)MAPerProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806562(433-442)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806562
Völske MBraslavski PHagen MLezina GStein BBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)What Users Ask a Search EngineProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806457(1571-1580)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806457

Index Terms

How do users grow up along with search engines?: a study of long-term users' behavior
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

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

Copyright © 2013 ACM.

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Published: 27 October 2013

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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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Cited By

Preum SStankovic JQi YBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)MAPerProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806562(433-442)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806562
Völske MBraslavski PHagen MLezina GStein BBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)What Users Ask a Search EngineProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806457(1571-1580)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806457

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