The vocabulary problem in human-system communication
Communications of the ACM
WordNet: a lexical database for English
Communications of the ACM
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
A large-scale analysis of query logs for assessing personalization opportunities
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
User profiles for personalized information access
The adaptive web
Using complexity measures in information retrieval
Proceedings of the third symposium on Information interaction in context
Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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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.