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ExperTime: tracking expertise over time

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SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

Pages 1273 - 1274

https://doi.org/10.1145/2600428.2611190

Published: 03 July 2014 Publication History

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Abstract

This paper presents ExperTime, a web-based system for tracking expertise over time. We visualize a person's expertise profile on a timeline, where we detect and characterize changes in the focus or topics of expertise. It is possible to zoom in on a given time period in order to examine the underlying data that is used as supporting evidence. It is also possible to perform visual and quantitative comparison of two arbitrarily selected time periods in a highly interactive environment. We invite profile owners to evaluate and fine-tune their profiles, and to leave feedback.

References

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Cited By

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Zhang XYang QDing JWang Z(2020)Entity Profiling in Knowledge GraphsIEEE Access10.1109/ACCESS.2020.29715678(27257-27266)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2971567
Balog KBalog K(2018)Utilizing Entities for an Enhanced Search ExperienceEntity-Oriented Search10.1007/978-3-319-93935-3_9(299-336)Online publication date: 3-Oct-2018
https://doi.org/10.1007/978-3-319-93935-3_9
Liakos PNtoulas ADelis A(2017)Rhea: Adaptively sampling authoritative content from social activity streams2017 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2017.8257984(686-695)Online publication date: Dec-2017
https://doi.org/10.1109/BigData.2017.8257984
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Index Terms

ExperTime: tracking expertise over time
1. Information systems
  1. Information retrieval

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Published In

SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

July 2014

1330 pages

ISBN:9781450322577

DOI:10.1145/2600428

General Chairs:
Shlomo Geva
Queensland University of Technology
,
Andrew Trotman
University of Dunedin
,
Program Chairs:
Peter Bruza
Queensland University of Technology
,
Charles L.A. Clarke
University of Waterloo
,
Kal Järvelin
University of Tampere

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 July 2014

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SIGIR '14

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SIGIR

SIGIR '14: The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

July 6 - 11, 2014

Queensland, Gold Coast, Australia

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SIGIR '14 Paper Acceptance Rate 82 of 387 submissions, 21%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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Zhang XYang QDing JWang Z(2020)Entity Profiling in Knowledge GraphsIEEE Access10.1109/ACCESS.2020.29715678(27257-27266)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2971567
Balog KBalog K(2018)Utilizing Entities for an Enhanced Search ExperienceEntity-Oriented Search10.1007/978-3-319-93935-3_9(299-336)Online publication date: 3-Oct-2018
https://doi.org/10.1007/978-3-319-93935-3_9
Liakos PNtoulas ADelis A(2017)Rhea: Adaptively sampling authoritative content from social activity streams2017 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2017.8257984(686-695)Online publication date: Dec-2017
https://doi.org/10.1109/BigData.2017.8257984
Rahman AGuns RLeydesdorff LEngels T(2016)Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal levelScientometrics10.1007/s11192-016-2132-x109:3(1639-1663)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s11192-016-2132-x

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Modeling the dynamics of personal expertise

Temporal expert profiling: With an application to T-shaped expert finding

Constructing expert profiles over time for skills management and expert finding