One query, many clicks: Analysis of queries with multiple clicks by the same user

Elad Kravi; Ido Guy; Avihai Mejer; David Carmel; Yoelle Maarek; Dan Pelleg; Gilad Tsur

doi:10.1145/2983323.2983856

One query, many clicks: Analysis of queries with multiple clicks by the same user

Elad Kravi, Ido Guy, Avihai Mejer, David Carmel, Yoelle Maarek, Dan Pelleg, Gilad Tsur

Department of Software and Information Systems Engineering

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

8 Scopus citations

Abstract

In this paper, we study multi-click queries - queries for which more than one click is performed by the same user within the same query session. Such queries may reflect a more complex information need, which leads the user to examine a variety of results. We present a comprehensive analysis that reveals unique characteristics of multi-click queries, in terms of their syntax, lexical domains, contextual properties, and returned search results page. We also show that a basic classifier for predicting multi-click queries can reach an accuracy of 75% over a balanced dataset. We discuss the implications of our findings for the design of Web search tools.

Original language	English
Title of host publication	CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management
Publisher	Association for Computing Machinery
Pages	1423-1432
Number of pages	10
ISBN (Electronic)	9781450340731
DOIs	https://doi.org/10.1145/2983323.2983856
State	Published - 24 Oct 2016
Event	25th ACM International Conference on Information and Knowledge Management, CIKM 2016 - Indianapolis, United States Duration: 24 Oct 2016 → 28 Oct 2016

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings
Volume	24-28-October-2016

Conference

Conference	25th ACM International Conference on Information and Knowledge Management, CIKM 2016
Country/Territory	United States
City	Indianapolis
Period	24/10/16 → 28/10/16

Keywords

Exploratory search
Multiple click queries
Query log analysis
Query session

ASJC Scopus subject areas

General Decision Sciences
General Business, Management and Accounting

Access to Document

10.1145/2983323.2983856

Cite this

Kravi, E., Guy, I., Mejer, A., Carmel, D., Maarek, Y., Pelleg, D., & Tsur, G. (2016). One query, many clicks: Analysis of queries with multiple clicks by the same user. In CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management (pp. 1423-1432). (International Conference on Information and Knowledge Management, Proceedings; Vol. 24-28-October-2016). Association for Computing Machinery. https://doi.org/10.1145/2983323.2983856

@inproceedings{2c2d2700176f47a9a100346f60276a4e,

title = "One query, many clicks: Analysis of queries with multiple clicks by the same user",

abstract = "In this paper, we study multi-click queries - queries for which more than one click is performed by the same user within the same query session. Such queries may reflect a more complex information need, which leads the user to examine a variety of results. We present a comprehensive analysis that reveals unique characteristics of multi-click queries, in terms of their syntax, lexical domains, contextual properties, and returned search results page. We also show that a basic classifier for predicting multi-click queries can reach an accuracy of 75% over a balanced dataset. We discuss the implications of our findings for the design of Web search tools.",

keywords = "Exploratory search, Multiple click queries, Query log analysis, Query session",

author = "Elad Kravi and Ido Guy and Avihai Mejer and David Carmel and Yoelle Maarek and Dan Pelleg and Gilad Tsur",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 25th ACM International Conference on Information and Knowledge Management, CIKM 2016 ; Conference date: 24-10-2016 Through 28-10-2016",

year = "2016",

month = oct,

day = "24",

doi = "10.1145/2983323.2983856",

language = "English",

series = "International Conference on Information and Knowledge Management, Proceedings",

publisher = "Association for Computing Machinery",

pages = "1423--1432",

booktitle = "CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management",

}

Kravi, E, Guy, I, Mejer, A, Carmel, D, Maarek, Y, Pelleg, D & Tsur, G 2016, One query, many clicks: Analysis of queries with multiple clicks by the same user. in CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, vol. 24-28-October-2016, Association for Computing Machinery, pp. 1423-1432, 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, United States, 24/10/16. https://doi.org/10.1145/2983323.2983856

One query, many clicks: Analysis of queries with multiple clicks by the same user. / Kravi, Elad; Guy, Ido; Mejer, Avihai et al.
CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, 2016. p. 1423-1432 (International Conference on Information and Knowledge Management, Proceedings; Vol. 24-28-October-2016).

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

TY - GEN

T1 - One query, many clicks

T2 - 25th ACM International Conference on Information and Knowledge Management, CIKM 2016

AU - Kravi, Elad

AU - Guy, Ido

AU - Mejer, Avihai

AU - Carmel, David

AU - Maarek, Yoelle

AU - Pelleg, Dan

AU - Tsur, Gilad

PY - 2016/10/24

Y1 - 2016/10/24

N2 - In this paper, we study multi-click queries - queries for which more than one click is performed by the same user within the same query session. Such queries may reflect a more complex information need, which leads the user to examine a variety of results. We present a comprehensive analysis that reveals unique characteristics of multi-click queries, in terms of their syntax, lexical domains, contextual properties, and returned search results page. We also show that a basic classifier for predicting multi-click queries can reach an accuracy of 75% over a balanced dataset. We discuss the implications of our findings for the design of Web search tools.

AB - In this paper, we study multi-click queries - queries for which more than one click is performed by the same user within the same query session. Such queries may reflect a more complex information need, which leads the user to examine a variety of results. We present a comprehensive analysis that reveals unique characteristics of multi-click queries, in terms of their syntax, lexical domains, contextual properties, and returned search results page. We also show that a basic classifier for predicting multi-click queries can reach an accuracy of 75% over a balanced dataset. We discuss the implications of our findings for the design of Web search tools.

KW - Exploratory search

KW - Multiple click queries

KW - Query log analysis

KW - Query session

UR - http://www.scopus.com/inward/record.url?scp=84996553651&partnerID=8YFLogxK

U2 - 10.1145/2983323.2983856

DO - 10.1145/2983323.2983856

M3 - Conference contribution

AN - SCOPUS:84996553651

T3 - International Conference on Information and Knowledge Management, Proceedings

SP - 1423

EP - 1432

BT - CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management

PB - Association for Computing Machinery

Y2 - 24 October 2016 through 28 October 2016

ER -

Kravi E, Guy I, Mejer A, Carmel D, Maarek Y, Pelleg D et al. One query, many clicks: Analysis of queries with multiple clicks by the same user. In CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery. 2016. p. 1423-1432. (International Conference on Information and Knowledge Management, Proceedings). doi: 10.1145/2983323.2983856

One query, many clicks: Analysis of queries with multiple clicks by the same user

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this