• Nilam N. Dombe
• Prof. B. D. Jitkar

In recent years, there is growth in number of customer; different types of services and online service application are increasing rapidly. Nowadays users use the internet information for taking decision. The users enter the query and get the relevant information. So for this recommendation systems are used to give appropriate service to user. In this paper, we are going review the different techniques used to implement service recommendation system. Also we are going to review some machine learning algorithms.

Service recommendation system, collaborative filtering, content-based filtering, hybrid recommender system, machine learning, supervised learning, unsupervised learning, preferences.

"A review on different techniques to implement service recommendation system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.219-221, July-2018, Available :http://www.jetir.org/papers/JETIR1807382.pdf

"A review on different techniques to implement service recommendation system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp219-221, July-2018, Available at : http://www.jetir.org/papers/JETIR1807382.pdf