Distributed Hybrid Book Recommendation System

Abstract

Many e-commerce Websites are using recommendation systems to provide relevant suggestions to their customers. Every situation can’t be solved by same solution. Therefore , in this paper we are providing distributed hybrid recommendation framework . User is divided into different types and according to user’s type different algorithms are applied. In this paper solution for cold start problem is also provided. Aim of the paper is to improve efficiency of the recommendation system using dynamic task assignment and spark.

Authors and Affiliations

Pritesh Gandhi, Ishwari Kulkarni, Pradnya Karlekar

Keywords

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  • EP ID EP23253
  • DOI http://doi.org/10.22214/ijraset.2017.3056
  • Views 283
  • Downloads 8

How To Cite

Pritesh Gandhi, Ishwari Kulkarni, Pradnya Karlekar (2017). Distributed Hybrid Book Recommendation System. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(3), -. https://europub.co.uk/articles/-A-23253