• ARCHANA N L
• HEMA JAGADISH

Now a day, people are all attached to the virtual world that exists over the internet. Over time, the main problem users have been facing, ranges from lack of information to information being overloaded. It was never easy to obtain information. But, there is so much information out there that it has been easy to get overwhelmed. It is very important to have some means for filtering out the noise. Recommender systems solve this problem as they are smart filters that would help the users discover what they like. For business, it is the system that increases revenue and drives content. This paper explores the various benefits, challenges and different types of algorithms used for recommendations in a case study for content based and collaborative filtering recommender systems.

Filtering, Recommendation System(RS), benefits, challenges, algorithms, Content based and Collaborative filtering.

"Recommendation System: Challenges, Types and Benefits", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.153-160, April-2019, Available :http://www.jetir.org/papers/JETIR1904O24.pdf

"Recommendation System: Challenges, Types and Benefits", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp153-160, April-2019, Available at : http://www.jetir.org/papers/JETIR1904O24.pdf