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Recommendation based on Sentiment Analysis in Big-Data Environment


Nikam Yamini Vilas , AVCOE,Sangamner; M.B.Vaidya, AVCOE,Sangamner


Hadoop, Big-Data


With the rapid development of Internet, the number of users and items of recommender system is growing exponentially. As a result, the single-node machine implementing these algorithms is time-consuming and unable to meet the computing needs of large data sets. Therefore, implementing the algorithm distributed will reduce the required computing time. To improve the performance, we proposed a distributed collaborative filtering recommendation algorithm combining Sentimental Analysis on Hadoop.

Other Details

Paper ID: IJSRDV4I50852
Published in: Volume : 4, Issue : 5
Publication Date: 01/08/2016
Page(s): 1422-1425

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