• Dr.Prasanna Lakshmi G S
• Prof.Mamatha E

A data filtering approach is a recommendation system. They are used to provide recommendations to users based on their interests and needs. It is a highly popular approach in recent years, and many e-commerce websites and other platforms use it to recommend news, books, movies, shopping products, novels, music, and other items, which is why recommendation systems have become a hot issue. Data filtering systems include recommendation systems as a subset. Whereas there are many types recommendation systems are utilized on numerous platforms and have become an basic feature of a variety of applications. It’s a decision-making procedure that will assist people in purchasing things that they’re interested in. Recommendation systems are a very helpful and effective method of data filtering. This paper is a study of recommendation systems that will discuss recommendation systems, how they operate and assist in various platforms, and the many types of recommendation systems, as well as their benefits and drawbacks.

Recommendation System, Unsupervised Learning

"RECOMMENDATION SYSTEM FOR MOVIE BY USING MACHHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.a286-a289, March-2023, Available :http://www.jetir.org/papers/JETIR2303038.pdf

"RECOMMENDATION SYSTEM FOR MOVIE BY USING MACHHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppa286-a289, March-2023, Available at : http://www.jetir.org/papers/JETIR2303038.pdf