Designing a Project Leader Recommender System using Twitter Feed Analysis

摘要

People are increasingly using social media to share both their personal and professional interests. Though most social networks cater to no specific age group, in recent years, platforms such as Twitter have taken center stage for students to discuss and discover similar passions and areas of interest. In this paper, we first explore students' Twitter activity to determine the core interests of students and then propose a recommender system that assigns group leaders to projects. We use a clustering algorithm to group the students with similar interests in the projects.