Standard
Modeling user knowledge from queries : Introducing a metric for knowledge. / Van Der Sluis, Frans; Van Den Broek, Egon L.
Active Media Technology - 6th International Conference, AMT 2010, Proceedings. 2010. p. 395-402 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6335 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Van Der Sluis, F & Van Den Broek, EL 2010,
Modeling user knowledge from queries: Introducing a metric for knowledge. in
Active Media Technology - 6th International Conference, AMT 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6335 LNCS, pp. 395-402, 2010 6th International Conference on Active Media Technology, AMT 2010, Toronto, ON, Canada,
28/08/2010.
https://doi.org/10.1007/978-3-642-15470-6_41
APA
Van Der Sluis, F., & Van Den Broek, E. L. (2010).
Modeling user knowledge from queries: Introducing a metric for knowledge. In
Active Media Technology - 6th International Conference, AMT 2010, Proceedings (pp. 395-402). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6335 LNCS
https://doi.org/10.1007/978-3-642-15470-6_41
Vancouver
Van Der Sluis F, Van Den Broek EL.
Modeling user knowledge from queries: Introducing a metric for knowledge. In Active Media Technology - 6th International Conference, AMT 2010, Proceedings. 2010. p. 395-402. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6335 LNCS).
https://doi.org/10.1007/978-3-642-15470-6_41
Author
Van Der Sluis, Frans ; Van Den Broek, Egon L. / Modeling user knowledge from queries : Introducing a metric for knowledge. Active Media Technology - 6th International Conference, AMT 2010, Proceedings. 2010. pp. 395-402 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6335 LNCS).
Bibtex
@inproceedings{1ab4e085fa5c45319715d4f835693bfd,
title = "Modeling user knowledge from queries: Introducing a metric for knowledge",
abstract = "The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.",
author = "{Van Der Sluis}, Frans and {Van Den Broek}, {Egon L.}",
year = "2010",
doi = "10.1007/978-3-642-15470-6_41",
language = "English",
isbn = "3642154697",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "395--402",
booktitle = "Active Media Technology - 6th International Conference, AMT 2010, Proceedings",
note = "2010 6th International Conference on Active Media Technology, AMT 2010 ; Conference date: 28-08-2010 Through 30-08-2010",
}
RIS
TY - GEN
T1 - Modeling user knowledge from queries
T2 - 2010 6th International Conference on Active Media Technology, AMT 2010
AU - Van Der Sluis, Frans
AU - Van Den Broek, Egon L.
PY - 2010
Y1 - 2010
N2 - The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.
AB - The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.
UR - http://www.scopus.com/inward/record.url?scp=78649901003&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15470-6_41
DO - 10.1007/978-3-642-15470-6_41
M3 - Article in proceedings
AN - SCOPUS:78649901003
SN - 3642154697
SN - 9783642154690
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 395
EP - 402
BT - Active Media Technology - 6th International Conference, AMT 2010, Proceedings
Y2 - 28 August 2010 through 30 August 2010
ER -
