Open AccessInstitute Recommendation System Based on Online Review Comments and Machine Learning
Author(s) -
Nikhil Satish Suryawanshi,
Harsh Shrivastav,
Prateek Bajpai,
Asmita Orse,
Prof. Megha Patil
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40788
Subject(s) - recommender system , computer science , collaborative filtering , product (mathematics) , naive bayes classifier , artificial intelligence , machine learning , institution , decision tree , information retrieval , support vector machine , mathematics , geometry , political science , law
Recommendation system has become a necessity in real world. In recommendation system, we are searching any product based on the reviews, if any product shows the best ratings, then we can select that product. Recommendation system has been used in wide range of application like, amazon, Netflix, Flipkart, Facebook etc. Now institution also become a part of recommendation system. In institution recommendation system, we select those colleges which is having a best reviews, which meets our eligibility criteria and our branch also. Recommendation system helps the user to discover the information and settle on a right choices where they do not have the required learning to judge a specific item. Only Naves Bayes algorithm is best algorithm in this system that we can easily check, and recommends them. This system has been used in education. Keywords: Artificial Intelligence, Machine Learning, Artificial Immune System, Naives Bayes, Decision Tree, Collaborative Filtering, Content Filtering, Hybrid Filtering