Patent Collaboration and Team Formation

The team formation problem has existed for many years in various guises. One important problem in the team formation problem is to produce small teams that have a required set of skills. We propose a framework that incorporates machine learning to predict unobserved links between collaborators, alongside Steiner tree problem solutions to form small teams to cover given tasks. Our framework not only considers size of the team but also how likely team members are to collaborate with each other. The framework is tested on sets of data from two different companies. The results show that this model consistently returns smaller collaborative teams

Patent Collaboration and Team Formation

The team formation problem has existed for many years in various guises. One important problem in the team formation problem is to produce small teams that have a required set of skills. We propose a framework that incorporates machine learning to predict unobserved links between collaborators, alongside Steiner tree problem solutions to form small teams to cover given tasks. Our framework not only considers size of the team but also how likely team members are to collaborate with each other. The framework is tested on sets of data from two different companies. The results show that this model consistently returns smaller collaborative teams

Enterprise Social Link Recommendation

ABSTRACT Many companies have started to use Enterprise Social Networks (ESNs), such as Yammer, to facilitate collaboration and communication among their employees in the business context. Social link recommendation, which finds and suggests whom one wants to connect with in a company, is crucial for ESNs to promote their usages. Although link recommendation has been studied extensively in external social networks (e.g., Facebook and Twitter), it has not been addressed in ESNs. In this paper, we study this novel problem. Social link recommendation in ESNs is significantly different from that in external social networks, and also has unique challenges: (1) people usually socialize differently in enterprise than in their personal life, but users' social behaviors in enterprise have not been well explored, an