Information retrieval using a singular value decomposition model of latent semantic structure
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Getting around the task-artifact cycle: how to make claims and design by scenario
ACM Transactions on Information Systems (TOIS)
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Foundations of software measurement
Foundations of software measurement
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Information needs in technical work settings and their implications for the design of computer tools
Computer Supported Cooperative Work
Building task-specific interfaces to high volume conversational data
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Supporting articulation work using software configuration management systems
Computer Supported Cooperative Work - Special issue on studies of cooperative design
Yenta: a multi-agent, referral-based matchmaking system
AGENTS '97 Proceedings of the first international conference on Autonomous agents
CHI '87 Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface
Just talk to me: a field study of expertise location
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Agents to assist in finding help
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Expertise recommender: a flexible recommendation system and architecture
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Software Metrics: Measurement for Software Process Improvement
Software Metrics: Measurement for Software Process Improvement
Supporting nuance in groupware design: moving from naturalistic expertise location to expertise recommendation
Recommending collaboration with social networks: a comparative evaluation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Over the Shoulder Learning: Supporting Brief Informal Learning
Computer Supported Cooperative Work
Expertise sharing in a heterogeneous organizational environment
ECSCW'05 Proceedings of the ninth conference on European Conference on Computer Supported Cooperative Work
Determining Implementation Expertise from Bug Reports
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
A metrics framework for evaluating group formation
Proceedings of the 2007 international ACM conference on Supporting group work
People search: Searching people sharing similar interests from the Web
Journal of the American Society for Information Science and Technology
Designing for e-science: Requirements gathering for collaboration in CiteSeer
International Journal of Human-Computer Studies
Towards social network based approach for software engineering ontology sharing and evolution
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Reducing the effort of bug report triage: Recommenders for development-oriented decisions
ACM Transactions on Software Engineering and Methodology (TOSEM)
AGReMo: providing ad-hoc groups with on-demand recommendations on mobile devices
Proceedings of the 29th Annual European Conference on Cognitive Ergonomics
A supervised learning approach to entity search
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Semantic inference of user's reputation and expertise to improve collaborative recommendations
Expert Systems with Applications: An International Journal
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Foundations and Trends in Information Retrieval
Using developer interaction data to compare expertise metrics
Proceedings of the 10th Working Conference on Mining Software Repositories
Sharing Knowledge and Expertise: The CSCW View of Knowledge Management
Computer Supported Cooperative Work
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Finding a person who has the expertise to solve a specific problem is an important application of recommender systems to a difficult organizational problem. Prior systems have made attempts to implement solutions to this problem, but few systems have undergone systematic user evaluation. This work describes a systematic evaluation of the Expertise Recommender (ER), a system that recommends people who are likely to have expertise in a specific problem. ER and the organizational context for which it was designed are described to provide a basis for understanding this evaluation. Prior to conducting the evaluation, a baseline experiment showed that people are relatively good at judging coworkers' expertise when given an appropriate context. This finding provides a way to demonstrate the effectiveness of ER by comparing ER's performance to ratings by coworkers. The evaluation, the design, and results are described in detail. The results suggest that the participants agree with the recommendations made by ER, and that ER significantly outperforms other expertise recommender systems when compared using similar metrics.