An inductive search system: Theory, design, and implementation
IEEE Transactions on Systems, Man and Cybernetics
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Expertise browser: a quantitative approach to identifying expertise
Proceedings of the 24th International Conference on Software Engineering
Automating the Construction of Internet Portals with Machine Learning
Information Retrieval
Hyperlink Analysis for the Web
IEEE Internet Computing
Human Language Technologies for Knowledge Management
IEEE Intelligent Systems
Exploring RDF for Expertise Matching within an Organizational Memory
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
User Modelling in I-Help: What, Why, When and How
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Modeling and predicting personal information dissemination behavior
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Eigen-trend: trend analysis in the blogosphere based on singular value decompositions
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
Searching for experts in the enterprise: combining text and social network analysis
Proceedings of the 2007 international ACM conference on Supporting group work
Leveraging semantic technologies for enterprise search
Proceedings of the ACM first Ph.D. workshop in CIKM
Semantic-Enhanced Personalised Support for Knowledge Sharing in Virtual Communities
UM '07 Proceedings of the 11th international conference on User Modeling
Modelling Semantic Relationships and Centrality to Facilitate Community Knowledge Sharing
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Toward Automatic Expertise Identification of Blogger
Proceedings of the 2009 conference on Information Modelling and Knowledge Bases XX
Detecting Changes over Time in a Knowledge Sharing Community
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
On the quality of inferring interests from social neighbors
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Generative models for ticket resolution in expert networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Overview and analysis of personal and social tagging context to construct user models
Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation
Who resemble you better, your friends or co-visited users
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
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We develop a novel user-centric modeling technology, which can dynamically describe and update a person's expertise profile. In an enterprise environment, the technology can enhance employees' collaboration and productivity by assisting in finding experts, training employees, etc. Instead of using the traditional search methods, such as the keyword match, we propose to use relational and evolutionary graph models, which we call ExpertiseNet, to describe and find experts. These ExpertiseNets are used for mining, retrieval, and visualization. We conduct experiments by building ExpertiseNets for researchers from a research paper collection. The experiments demonstrate that expertise mining and matching are more efficiently achieved based on the proposed relational and evolutionary graph models.