A study of user image search behavior based on log analysis

Zhijing Wu; Xiaohui Xie; Yiqun Liu; Min Zhang; Shaoping Ma

doi:10.1007/978-3-319-68699-8_6

A study of user image search behavior based on log analysis

Zhijing Wu, Xiaohui Xie, Yiqun Liu^*, Min Zhang, Shaoping Ma

^*Corresponding author for this work

Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Study of user behavior in Web search helps understand users’ search intents and improve the ranking quality of search results. To better understand user’s Web image search behavior in practical environment, we investigate user behavior by analyzing a query log collected in one week from a popular image search engine in China. We focus on individual query analyses, temporal distribution, click-through behavior on the search engine result pages (SERPs), and behaviors on preview pages. Compared to general Web search, image search users usually submit shorter query strings and their selections of query terms are more diverse. We find that there exists a huge difference among users in image search click-through behavior. Users are more likely to do exploratory search compared to that in general Web search. This finding may provide us some insights about users’ behavior in the context of image search. Our findings may also benefit multiple perspectives of image search, such as UI design, effectiveness evaluation, ranking algorithms, and etc.

Original language	English
Title of host publication	Information Retrieval - 23rd China conference, CCIR 2017, Proceedings
Editors	Jianyun Nie, Tong Ruan, Tieyun Qian, Jirong Wen, Yiqun Liu
Publisher	Springer Verlag
Pages	69-80
Number of pages	12
ISBN (Print)	9783319686981
DOIs	https://doi.org/10.1007/978-3-319-68699-8_6
Publication status	Published - 2017
Externally published	Yes
Event	23rd China conference on Information Retrieval, CCIR 2017 - Shanghai, China Duration: 13 Jul 2017 → 14 Jul 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10390 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd China conference on Information Retrieval, CCIR 2017
Country/Territory	China
City	Shanghai
Period	13/07/17 → 14/07/17

Keywords

Image search
Log analysis
Search intent
User behavior

Access to Document

10.1007/978-3-319-68699-8_6

Cite this

Wu, Z., Xie, X., Liu, Y., Zhang, M., & Ma, S. (2017). A study of user image search behavior based on log analysis. In J. Nie, T. Ruan, T. Qian, J. Wen, & Y. Liu (Eds.), Information Retrieval - 23rd China conference, CCIR 2017, Proceedings (pp. 69-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10390 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-68699-8_6

Wu, Zhijing ; Xie, Xiaohui ; Liu, Yiqun et al. / A study of user image search behavior based on log analysis. Information Retrieval - 23rd China conference, CCIR 2017, Proceedings. editor / Jianyun Nie ; Tong Ruan ; Tieyun Qian ; Jirong Wen ; Yiqun Liu. Springer Verlag, 2017. pp. 69-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6545b3442ce447e99afca271b593d57c,

title = "A study of user image search behavior based on log analysis",

abstract = "Study of user behavior in Web search helps understand users{\textquoteright} search intents and improve the ranking quality of search results. To better understand user{\textquoteright}s Web image search behavior in practical environment, we investigate user behavior by analyzing a query log collected in one week from a popular image search engine in China. We focus on individual query analyses, temporal distribution, click-through behavior on the search engine result pages (SERPs), and behaviors on preview pages. Compared to general Web search, image search users usually submit shorter query strings and their selections of query terms are more diverse. We find that there exists a huge difference among users in image search click-through behavior. Users are more likely to do exploratory search compared to that in general Web search. This finding may provide us some insights about users{\textquoteright} behavior in the context of image search. Our findings may also benefit multiple perspectives of image search, such as UI design, effectiveness evaluation, ranking algorithms, and etc.",

keywords = "Image search, Log analysis, Search intent, User behavior",

author = "Zhijing Wu and Xiaohui Xie and Yiqun Liu and Min Zhang and Shaoping Ma",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 23rd China conference on Information Retrieval, CCIR 2017 ; Conference date: 13-07-2017 Through 14-07-2017",

year = "2017",

doi = "10.1007/978-3-319-68699-8_6",

language = "English",

isbn = "9783319686981",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "69--80",

editor = "Jianyun Nie and Tong Ruan and Tieyun Qian and Jirong Wen and Yiqun Liu",

booktitle = "Information Retrieval - 23rd China conference, CCIR 2017, Proceedings",

address = "Germany",

}

Wu, Z, Xie, X, Liu, Y, Zhang, M & Ma, S 2017, A study of user image search behavior based on log analysis. in J Nie, T Ruan, T Qian, J Wen & Y Liu (eds), Information Retrieval - 23rd China conference, CCIR 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10390 LNCS, Springer Verlag, pp. 69-80, 23rd China conference on Information Retrieval, CCIR 2017, Shanghai, China, 13/07/17. https://doi.org/10.1007/978-3-319-68699-8_6

A study of user image search behavior based on log analysis. / Wu, Zhijing; Xie, Xiaohui; Liu, Yiqun et al.
Information Retrieval - 23rd China conference, CCIR 2017, Proceedings. ed. / Jianyun Nie; Tong Ruan; Tieyun Qian; Jirong Wen; Yiqun Liu. Springer Verlag, 2017. p. 69-80 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10390 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A study of user image search behavior based on log analysis

AU - Wu, Zhijing

AU - Xie, Xiaohui

AU - Liu, Yiqun

AU - Zhang, Min

AU - Ma, Shaoping

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Study of user behavior in Web search helps understand users’ search intents and improve the ranking quality of search results. To better understand user’s Web image search behavior in practical environment, we investigate user behavior by analyzing a query log collected in one week from a popular image search engine in China. We focus on individual query analyses, temporal distribution, click-through behavior on the search engine result pages (SERPs), and behaviors on preview pages. Compared to general Web search, image search users usually submit shorter query strings and their selections of query terms are more diverse. We find that there exists a huge difference among users in image search click-through behavior. Users are more likely to do exploratory search compared to that in general Web search. This finding may provide us some insights about users’ behavior in the context of image search. Our findings may also benefit multiple perspectives of image search, such as UI design, effectiveness evaluation, ranking algorithms, and etc.

AB - Study of user behavior in Web search helps understand users’ search intents and improve the ranking quality of search results. To better understand user’s Web image search behavior in practical environment, we investigate user behavior by analyzing a query log collected in one week from a popular image search engine in China. We focus on individual query analyses, temporal distribution, click-through behavior on the search engine result pages (SERPs), and behaviors on preview pages. Compared to general Web search, image search users usually submit shorter query strings and their selections of query terms are more diverse. We find that there exists a huge difference among users in image search click-through behavior. Users are more likely to do exploratory search compared to that in general Web search. This finding may provide us some insights about users’ behavior in the context of image search. Our findings may also benefit multiple perspectives of image search, such as UI design, effectiveness evaluation, ranking algorithms, and etc.

KW - Image search

KW - Log analysis

KW - Search intent

KW - User behavior

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U2 - 10.1007/978-3-319-68699-8_6

DO - 10.1007/978-3-319-68699-8_6

M3 - Conference contribution

AN - SCOPUS:85032625733

SN - 9783319686981

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 69

EP - 80

BT - Information Retrieval - 23rd China conference, CCIR 2017, Proceedings

A2 - Nie, Jianyun

A2 - Ruan, Tong

A2 - Qian, Tieyun

A2 - Wen, Jirong

A2 - Liu, Yiqun

PB - Springer Verlag

T2 - 23rd China conference on Information Retrieval, CCIR 2017

Y2 - 13 July 2017 through 14 July 2017

ER -

Wu Z, Xie X, Liu Y, Zhang M, Ma S. A study of user image search behavior based on log analysis. In Nie J, Ruan T, Qian T, Wen J, Liu Y, editors, Information Retrieval - 23rd China conference, CCIR 2017, Proceedings. Springer Verlag. 2017. p. 69-80. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-68699-8_6

A study of user image search behavior based on log analysis

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Keywords

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