Service Recommendation Using Rating Inference Approach

Authors

  • Yamini Nikam  AVCOE, Sangamner, Ahmednagar, Maharashtra, India
  • M. B. Vaidya  AVCOE, Sangamner, Ahmednagar, Maharashtra, India

Keywords:

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

Abstract

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.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-10-30

Issue

Volume 2, Issue 5, September-October-2016

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.