• Mr. P.R. Patil

Service recommender systems are shown as valuable tools for providing acceptable recommendations to users. Within the last decade, the number of customers, services, and online data has grown speedily, yielding the big data analysis problem for service recommender systems. The previous system uses user based collaborative filtering algorithm, which offers some recommendation to a user on the idea of matches in behavior and functional patterns of users and additionally shows similar fondness and behavior pattern with those users. To use weighted hybrid recommendation method where in the basic two recommendation methods such as keyword aware approach and knowledge aware approach experimented with improved accuracy of service recommendation. The experimentation is done on the real world data set.

Big Data, Recommendation Methods, Service Recommendation

"Recommendation Approach for Big Data Application Using Weighted Hybrid Recommendation Method ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.385-389, March-2019, Available :http://www.jetir.org/papers/JETIRAL06082.pdf

"Recommendation Approach for Big Data Application Using Weighted Hybrid Recommendation Method ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp385-389, March-2019, Available at : http://www.jetir.org/papers/JETIRAL06082.pdf