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Service Recommendation Using Rating Inference Approach


Yamini Nikam, M. B. Vaidya
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There is large amount of information available on World Wide Web. But all information is not relevant to a particular user. So this is the place where recommender system is useful. Recommender system guides the user. But traditional recommender systems has some limitations. So, to overcome this limitations we are using a hybrid algorithm which gives accurate result. Which combines the collaborative filtering with sentimental analysis. Therefore, implementing the algorithm distributed will reduce the required computing time. Apache Hadoop is an open-source distributed computing framework that can be composed of a large number of low-cost hardware to run the application on a cluster. It provides applications with a set of stable and reliable interface, Use of single recommended method is difficult to meet the demand of a large amount of data and accuracy requirements.

Yamini Nikam, M. B. Vaidya

Recommender System, Preferences, keyword, Map-Reduce, Top Rank.

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Publication Details

Published in : Volume 2 | Issue 5 | September-October - 2016
Date of Publication Print ISSN Online ISSN
2016-10-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
155-159 IJSRSET162539   Technoscience Academy

Cite This Article

Yamini Nikam, M. B. Vaidya, "Service Recommendation Using Rating Inference Approach", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 5, pp.155-159, September-October-2016.
URL : http://ijsrset.com/IJSRSET162539.php




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