• Krishna Pandya
• Shital Pathar

Day by day, Word become digitalize and rapidly growth of information. Nowadays it has been observed that users more prefer online store rather than conventional methodology. User have huge number of data available so it difficult to find best option for them. This is overloaded problem face by user. So, this problem is solved by prioritize, filter and efficiently deliver relevant data/item. Recommender System is a software that gives very useful guidance for item or service selected by the user. Recommendation system is tool which facilitate the user by providing his personalise information. Aim of this paper introduce to the different types of recommender system which are mainly classified into three categories: collaborative filtering RS, content based RS and hybrid RS. We also discusses challenges which are facing during the application of recommendation system. In this paper we also compare each method and describe limitation of each method.

Machine Learning; Recommendation system; Content Based; Collaborative Filtering; Hybrid Recommendation system.

"Comparison of Various Technique of Recommendation Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.560-565, March-2020, Available :http://www.jetir.org/papers/JETIR2003385.pdf

"Comparison of Various Technique of Recommendation Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp560-565, March-2020, Available at : http://www.jetir.org/papers/JETIR2003385.pdf