J. Rybak, K. Balog, and K. Nørv\aag. Proceedings of the 37th International ACM SIGIR Conference on Research &\#38; Development in Information Retrieval, page 1273--1274. New York, NY, USA, ACM, (2014)
DOI: 10.1145/2600428.2611190
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.
%0 Conference Paper
%1 Rybak:2014:ETE:2600428.2611190
%A Rybak, Jan
%A Balog, Krisztian
%A Nørv\aag, Kjetil
%B Proceedings of the 37th International ACM SIGIR Conference on Research &\#38; Development in Information Retrieval
%C New York, NY, USA
%D 2014
%I ACM
%K expert_finding experts temporal
%P 1273--1274
%R 10.1145/2600428.2611190
%T ExperTime: Tracking Expertise over Time
%U http://doi.acm.org/10.1145/2600428.2611190
%X 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.
%@ 978-1-4503-2257-7
@inproceedings{Rybak:2014:ETE:2600428.2611190,
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.},
acmid = {2611190},
added-at = {2015-03-03T11:34:35.000+0100},
address = {New York, NY, USA},
author = {Rybak, Jan and Balog, Krisztian and N{\o}rv{\aa}g, Kjetil},
biburl = {https://www.bibsonomy.org/bibtex/26aa711a4997a548391fdc7ff514b0d81/asmelash},
booktitle = {Proceedings of the 37th International ACM SIGIR Conference on Research \&\#38; Development in Information Retrieval},
description = {ExperTime},
doi = {10.1145/2600428.2611190},
interhash = {d1cd4d1f884d2e9f42ea2d7cf4ff58c9},
intrahash = {6aa711a4997a548391fdc7ff514b0d81},
isbn = {978-1-4503-2257-7},
keywords = {expert_finding experts temporal},
location = {Gold Coast, Queensland, Australia},
numpages = {2},
pages = {1273--1274},
publisher = {ACM},
series = {SIGIR '14},
timestamp = {2015-03-03T11:34:35.000+0100},
title = {ExperTime: Tracking Expertise over Time},
url = {http://doi.acm.org/10.1145/2600428.2611190},
year = 2014
}