Distributed Hybrid Book Recommendation System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
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 281
- Downloads 8
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