Recommender System for Engineering College
Meshwa Mistry1, Vidhi Suthar2, KaPatel Shruti3, Priyang Bhatt4

1Meshwa Mistry, Department of Computer Engineering, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India.

2Vidhi Suthar, Department of Computer Engineering, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India.

3KaPatel Shruti, Department of Computer Engineering, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India.

4Priyang Bhatt, Assistant Professor, Department of Computer Engineering, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India.

Manuscript received on 26 April 2020 | Revised Manuscript received on 08 May 2020 | Manuscript Published on 22 May 2020 | PP: 55-59 | Volume-9 Issue-7S July 2020 | Retrieval Number: 100.1/ijitee.G10180597S20 | DOI: 10.35940/ijitee.G1018.0597S20

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Abstract: In this paper, we present research on developing a recommender system that helps students who want to take admission in engineering colleges. There are various engineering colleges in Gujarat. After completion of 12th Science, if students want to seek their admission in engineering, there are so many choices. Students generally face problems in choosing the better college as per their merit number. Colleges may have facilities such as campus facilities, university grants, the infrastructure of institutes, hostel facility, NBA and NAAC grading, placement record, tie-up with industries, faculties or educational history too. Students and parents do not have exact information about these all. Moreover, there is no such website or an application which gives the suggestion or recommend institutions where students can get admission. After studying these issues facing by parents and students, we are going to develop a recommender system for engineering institutes which can recommend to students as per their merit number and user reviews.

Keywords: Recommendation System, SVD, Pivot table, Similarity Measure.
Scope of the Article: Adaptive Systems