A hybrid feedback based book recommendation system using sentiment analysis

Authors

  • N. Rajganesh  Assistant Professor, Department of Information Technology, A.V.C College of Engineering, Tamil Nadu, India
  • C. Asha  UG Students, Department of Information Technology, A.V.C College of Engineering, Tamil Nadu, India
  • A. T. Keerthana  UG Students, Department of Information Technology, A.V.C College of Engineering, Tamil Nadu, India
  • K. Suriya  UG Students, Department of Information Technology, A.V.C College of Engineering, Tamil Nadu, India

Keywords:

Collaborative Filtering; Hybrid Filtering Technique; Sentiment Analysis

Abstract

Recommender systems help the user to find accurate book from a large database. Sentiment analysis is an effective recommendation approach in which the preference of a user on an item is predicted based on the preferences of other users with similar interests. The admin train a database which has sentiment based keywords with positivity or negativity weight. Implemented in Hybrid filtering technique in recommendation system with feedback analysis to improve the recommendation system. These feedbacks include reviews, ratings and emoticons which are implemented by stochastic learning algorithm. It analyze fake contextual information posted by online users with identifying the mac address along with review posting patterns.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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Copyright (c) IJSRCSEIT

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

How to Cite

[1]
N. Rajganesh, C. Asha, A. T. Keerthana, K. Suriya, " A hybrid feedback based book recommendation system using sentiment analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.322-327, March-April-2018.