Recommendations to Support Staffing Decisions

By Abigail Gertner , Susan Lubar , Beth Lavender

The authors have described the design and implementation of a recommender system to identify staff members to fill open job positions. Recommendations are generated based on tags entered by employees describing their knowledge and skills.

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The authors have developed a recommender system to assist project managers at MITRE with identifying and learning about potential candidates for open project positions. Features were added to the user interface for the recommender as a result of a pilot study in which the recommender was used to suggest job candidates for open positions. In this paper we explain how the recommender is implemented, describe the pilot study, and discuss the improvements to the user interface that were made to support the study.