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Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation

Published: 02 February 2015 Publication History

Abstract

Nowadays, billions of people use the Web in connection with their daily needs. A significant part of the needs are constituted by search tasks that are usually addressed by search engines. Thus, daily search needs result in regular user engagement with a search engine. User engagement with web sites and services was studied in various aspects, but there appear to be no studies of its regularity and periodicity. In this paper, we studied periodicity of the user engagement with a popular search engine through applying spectrum analysis to temporal sequences of different engagement metrics. We found periodicity patterns of user engagement and revealed classes of users whose periodicity patterns do not change over a long period of time. In addition, we used the spectrum series as metrics to evaluate search quality.

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cover image ACM Conferences
WSDM '15: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining
February 2015
482 pages
ISBN:9781450333177
DOI:10.1145/2684822
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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Published: 02 February 2015

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Author Tags

  1. DFT
  2. periodicity
  3. quality metrics
  4. spectrum analysis
  5. user engagement

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WSDM '15 Paper Acceptance Rate 39 of 238 submissions, 16%;
Overall Acceptance Rate 498 of 2,863 submissions, 17%

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  • (2022)A Framework for Evaluating Dashboards in HealthcareIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.314715428:4(1715-1731)Online publication date: 1-Apr-2022
  • (2019)Effective Online Evaluation for Web SearchProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331378(1399-1400)Online publication date: 18-Jul-2019
  • (2018)Engagement in HCIACM Computing Surveys10.1145/323414951:5(1-39)Online publication date: 19-Nov-2018
  • (2018)Automated Mining of Approximate Periodicity on Numeric DataProceedings of the 2nd International Conference on Compute and Data Analysis10.1145/3193077.3194509(20-27)Online publication date: 23-Mar-2018
  • (2018)Consistent Transformation of Ratio Metrics for Efficient Online Controlled ExperimentsProceedings of the Eleventh ACM International Conference on Web Search and Data Mining10.1145/3159652.3159699(55-63)Online publication date: 2-Feb-2018
  • (2017)Beyond Success RateProceedings of the 2017 ACM on Conference on Information and Knowledge Management10.1145/3132847.3132850(757-765)Online publication date: 6-Nov-2017
  • (2017)Towards Learning Reward Functions from User InteractionsProceedings of the ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3121050.3121098(289-292)Online publication date: 1-Oct-2017
  • (2017)Using the Delay in a Treatment Effect to Improve Sensitivity and Preserve Directionality of Engagement Metrics in A/B ExperimentsProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052664(1301-1310)Online publication date: 3-Apr-2017
  • (2017)Situational Context for Ranking in Personal SearchProceedings of the 26th International Conference on World Wide Web10.1145/3038912.3052648(1531-1540)Online publication date: 3-Apr-2017
  • (2017)Periodicity in User Engagement with a Search Engine and Its Application to Online Controlled ExperimentsACM Transactions on the Web10.1145/285682211:2(1-35)Online publication date: 14-Apr-2017
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