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A hybrid feedback based book recommendation system using sentiment analysis

Author

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  • N. Rajganesh
  • C. Asha
  • A. T. Keerthana
  • K. Suriya

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.

Suggested Citation

  • N. Rajganesh & C. Asha & A. T. Keerthana & K. Suriya, 2018. "A hybrid feedback based book recommendation system using sentiment analysis," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 322-327, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit183349
    Note: Article URL: https://ijsrcseit.com/CSEIT183349
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