Likeminded – A Recommender System Based Knowledge Sharing Application for Students
K. R. Baskaran1, S. Sabari Rangan2, S. Ajithkumar3, B. Krishna Prasath4
1Dr. K. R. Baskaran, Department of CSE, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2S. Sabari Rangan, Department of Information Technology, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3S. Ajithkumar, Department of Information Technology, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
4B Krishna Prasath, Department of Information Technology, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 14 December 2018 | Revised Manuscript received on 25 December 2018 | Manuscript Published on 09 January 2019 | PP: 355-357 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2050017519/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Students in college/university face many issues in doing a project, organizing an event, finding a mentor to guide them. The main reason for this problem is lack of proper networking among students and professors. In order to solve this problem, within the college/university, there must be a proper networking channel among students and professors so that they come to know about each other. Consider a scenario in which a mechanical student wants to do an “Object Following Rover” project. In order to do the project, he/she needs skills like mechanical design, image processing, electronic controller, programming and many more. It is not possible for a single student to be expert in all these fields. He/she may be an expert in mechanical design, for the rest he/she needs to find students from other departments or from their seniors, and for mentoring he/she needs to find a professor who has worked in that area. This team formation is possible only if the student knows about what others are doing in the college/university, what other students skill-set are, and in what field they are expert in. This information cannot be obtained easily because a college/university contains 5000+ students and professors. So, it is very difficult for a single student to know about most of his/her fellow students in their college/university. This application provides solution to this problem, by providing a platform for a student to share his/her works, skills and reaching them out to target audience by using suitable recommendation algorithms and helping out students to know what their peers are doing and what are their skill-sets. This paper focuses on the various recommendation approaches that are used for this application in delivering the contents to the target audience.
Keywords: Machine Learning, Graph Theory, Recommender System, Clustering, Social Networking.
Scope of the Article: Machine Learning