Unsupervised Machine learning Approach for Book Recommendation System

Authors

  • Radha A. Pimpale

Abstract

In Today’s Internet Era, thanks to multiple choices for purchasing product every body observe review and rating of the merchandise. Vast amount of information available on Internet for same product and more number of possibilities so continuous browsing waste lots of your time around on Internet. For helping the user on Internet we proposed a wise and Intelligent book recommendation system which is unsupervised machine learning supported document cosine similarity and association rule mining referred to as hybrid Book Recommendation System. The Proposed system is recommandated the Book to the New User cold start supported their cosine similarity. More advanced techniques like unsupervised machine learning like association rule , we learn by experience and performance, given Hybrid Filtering techniques produce more accurate results  which produce impact on book browsing and buying.

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Published

2020-04-11

Issue

Section

Articles