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Feature Selection for Collaborative Team Formation via Social Network Analysis
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cheatham, Michelle |
| Copyright Year | 2007 |
| Abstract | The goal of expert recommendation (ER) systems is to suggest individuals whose expertise can assist in solving a given problem. As organizations become more geographically distributed and virtual teams become more commonplace, the requirements put on ER systems will advance from that of merely suggesting an individual to enhance a pre-existing team to that of suggesting a full team from scratch. We address the critical question of what factors these advanced ER systems will need to consider when making recommendations for team membership. We provide a survey of the features proposed in contemporary research and discuss how they apply to this new version of the ER problem. We also conduct an analysis of these characteristics using a real-world data set to determine which of these features are relevant. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dase.cs.wright.edu/sites/default/files/publications/FeatureSelectionforCollaborativeTeam.pdf |
| Alternate Webpage(s) | http://www.michellecheatham.com/files/FeatureSelectionforCollaborativeTeam.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
