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One Query, Many Clicks: Analysis of Queries with Multiple Clicks by the Same User

Published: 24 October 2016 Publication History

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.

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Cited By

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  • (2021)Towards a Better Understanding of Query Reformulation Behavior in Web SearchProceedings of the Web Conference 202110.1145/3442381.3450127(743-755)Online publication date: 19-Apr-2021
  • (2020)Query Reformulation in E-Commerce SearchProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401065(1319-1328)Online publication date: 25-Jul-2020
  • (2019)Exploring Video Game Searches on the WebCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3314999(1161-1170)Online publication date: 13-May-2019
  • Show More Cited By

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cover image ACM Conferences
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
October 2016
2566 pages
ISBN:9781450340731
DOI:10.1145/2983323
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 October 2016

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Author Tags

  1. exploratory search
  2. multiple click queries
  3. query log analysis
  4. query session

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CIKM'16
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CIKM'16: ACM Conference on Information and Knowledge Management
October 24 - 28, 2016
Indiana, Indianapolis, USA

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CIKM '16 Paper Acceptance Rate 160 of 701 submissions, 23%;
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

View all
  • (2021)Towards a Better Understanding of Query Reformulation Behavior in Web SearchProceedings of the Web Conference 202110.1145/3442381.3450127(743-755)Online publication date: 19-Apr-2021
  • (2020)Query Reformulation in E-Commerce SearchProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401065(1319-1328)Online publication date: 25-Jul-2020
  • (2019)Exploring Video Game Searches on the WebCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3314999(1161-1170)Online publication date: 13-May-2019
  • (2018)A Click Sequence Model for Web SearchThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210004(45-54)Online publication date: 27-Jun-2018
  • (2018)The Characteristics of Voice SearchACM Transactions on Information Systems10.1145/318216336:3(1-28)Online publication date: 13-Mar-2018
  • (2018)Selective Cluster Presentation on the Search Results PageACM Transactions on Information Systems10.1145/315867236:3(1-42)Online publication date: 28-Feb-2018
  • (2017)A probabilistic graphical model for learning as search2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC)10.1109/CCWC.2017.7868379(1-4)Online publication date: Jan-2017

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