Modeling User Knowledge from Queries: Introducing a Metric for Knowledge
| Autor: | Egon L. van den Broek, Frans van der Sluis |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
HMI-HF: Human Factors
EWI-18892 Computer science 02 engineering and technology Knowledge Model Semantic network Similarity Metric Semantic similarity Robustness (computer science) 020204 information systems 0202 electrical engineering electronic engineering information engineering Information system IR-75070 Adaptive Information Retrieval METIS-276165 Information retrieval User profile business.industry HMI-IE: Information Engineering Usability Metric (mathematics) User Profile HMI-SLT: Speech and Language Technology 020201 artificial intelligence & image processing Data set (IBM mainframe) business |
| Zdroj: | Active Media Technology ISBN: 9783642154690 AMT Active media technology, 395-402 STARTPAGE=395;ENDPAGE=402;TITLE=Active media technology |
| ISSN: | 0302-9743 |
| DOI: | 10.1007/978-3-642-15470-6_41 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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