Using frequency-of-mention in public conversations for social filtering
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Augmenting organizational memory: a field study of answer garden
ACM Transactions on Information Systems (TOIS)
Expertise recommender: a flexible recommendation system and architecture
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Why batch and user evaluations do not give the same results
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies
Organization Science
Transactive Memory Systems in Organizations: Matching Tasks, Expertise, and People
Organization Science
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
Living design memory: framework, implementation, lessons learned
Human-Computer Interaction
Pick me!: link selection in expertise search results
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Making sense of strangers' expertise from signals in digital artifacts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Contextual factors for finding similar experts
Journal of the American Society for Information Science and Technology
Recommendation boosted query propagation in the social network
SocInfo'10 Proceedings of the Second international conference on Social informatics
Analyzing community knowledge sharing behavior
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Foundations and Trends in Information Retrieval
People-to-People recommendation using multiple compatible subgroups
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
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We describe the design and evaluation of K-net, a social matching system to help people learn 'who knows what' in an organization by matching people with skills with those who need them. Transactive memory theory predicts that K-net will improve individuals' awareness of 'who knows what'. This should lead to improved performance through sharing knowledge across group boundaries. We evaluate K-net in terms of these predictions in an experiment with 41 students in seven groups working on software engineering projects. Accurate recommendations improved awareness of 'who knows what' versus 'random' recommendations, but did not improve performance. Our results highlight issues related to the evaluation of systems for sharing knowledge across group boundaries.