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2019, WI, Fair Team Recommendations for Multidisciplinary Projects #6
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Title: Fair Team Recommendations for Multidisciplinary Projects Introduction: This paper focuses on the problem of team recommendation, in which teams must meet multidisciplinary requirements and team members are chosen based on how well their talents match the needs. When building numerous teams, it's also difficult to evenly distribute the best members throughout the teams. Main concern: If numerous teams are formed, the top candidates may be assigned to the first team, leaving the less qualified individuals for the other projects. Therefore, to allocate good members to all teams, the fairness element of this team formation should be considered as well. Dataset: The dataset is a pre-processed version of DBLP that has 7428 lines. Each line corresponds to a researcher and contains the person's name and a varying number of skill tags related to that person. Each researcher has at least one skill and there are 4480 unique skills among all people. Methods: Brute Force Algorithm: Heuristic Algorithm: Future Work: |
@Rounique |
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