Modeling user knowledge from queries: Introducing a metric for knowledge
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | Active Media Technology - 6th International Conference, AMT 2010, Proceedings |
Number of pages | 8 |
Publication date | 2010 |
Pages | 395-402 |
ISBN (Print) | 3642154697, 9783642154690 |
DOIs | |
Publication status | Published - 2010 |
Event | 2010 6th International Conference on Active Media Technology, AMT 2010 - Toronto, ON, Canada Duration: 28 Aug 2010 → 30 Aug 2010 |
Conference
Conference | 2010 6th International Conference on Active Media Technology, AMT 2010 |
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Land | Canada |
By | Toronto, ON |
Periode | 28/08/2010 → 30/08/2010 |
Sponsor | York University, University of Regina |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 6335 LNCS |
ISSN | 0302-9743 |
ID: 337216111