Modeling User Knowledge from Queries: Introducing a Metric for Knowledge

Frans van der Sluis; Egon van den Broek

doi:10.1007/978-3-642-15470-6_41

Modeling User Knowledge from Queries: Introducing a Metric for Knowledge

Frans van der Sluis, Egon van den Broek

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

2 Citations (Scopus)

143 Downloads (Pure)

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.

Original language	Undefined
Title of host publication	Active media technology
Place of Publication	Berlin
Publisher	Springer
Pages	395-402
Number of pages	8
ISBN (Print)	9783642154706
DOIs	https://doi.org/10.1007/978-3-642-15470-6_41
Publication status	Published - 28 Aug 2010
Event	6th International Conference on Active Media Technology, AMT 2010 - Toronto, Canada Duration: 28 Aug 2010 → 30 Aug 2010

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Number	6335
Volume	6335
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Active Media Technology, AMT 2010
Period	28/08/10 → 30/08/10
Other	August 28-30, 2010

Keywords

IR-75070
METIS-276165
Adaptive Information Retrieval
Knowledge Model
HMI-HF: Human Factors
Similarity Metric
EWI-18892
HMI-SLT: Speech and Language Technology
HMI-IE: Information Engineering
User Profile

Access to Document

10.1007/978-3-642-15470-6_41

amt_final_v1.2
open
Sluis10modeling
open

Cite this

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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.",

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AU - van den Broek, Egon

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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.

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KW - METIS-276165

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KW - Knowledge Model

KW - HMI-HF: Human Factors

KW - Similarity Metric

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KW - HMI-SLT: Speech and Language Technology

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