DefinePK

Abstract

Currently, online searching process increases and people searches new information in the search process. Most of the search engine gives additional supporting information. Recommender system involves in this process and implements as service. Service recommender system gives additional information to the user but if information grows then these process become a critical one. The proposed work analyses issues occurring when service recommender system implements in large data sets. This work proposes a keyword-Aware services Recommender method, to split the services to the users and mainly focused keywords from the user preferences. Hybrid Filter algorithm generates keyword recommenders from the previous user preferences. To implement effective results in big data environment, this method is implemented using the concept of Map Reduce parallel processing on Hadoop. Experimental results are shown the effective results on real-world datasets and reduce the processing time from large datasets.