Effective Mentor Suggestion System for Collaborative Learning

摘要

Accelerated growth of the World Wide Web has resulted in the evolution of many online collaboration platforms in various domains, including education domain. These platforms, apart from bringing interested stakeholders together, also provide innovative and value added services such as smart search, notifications, suggestions, etc. Techpedia is one of such a platform which facilitates students to submit any original project description and aims to nurture the project idea by mentoring, collaborating and recognizing significant contributions by the system of awards and entrepreneurship. An important aspect of this platform is its ability to suggest a suitable mentor to a student's project. We propose an elegant approach to find an appropriate mentor for a given project by analyzing the project abstract. By analyzing past projects guided by various mentors and by engaging Wikipedia knowledge structure during the analysis, we show that our method suggests mentor(s) to a new project with good accuracy.