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A Study on E-commerce Recommender System Based on Big Data


Using Big Data Analytics to Cr

Scalable and Secure Big Data I

3D Reconstruction in Canonical
Abstract


Recommender system algorithms are widely used in e-commerce to provide personalized and more accurate recommendations to online users and enhance the sales and user stickiness of e-commerce. This paper discusses several recommendation algorithms and the challenge of tradition recommender system in big data situation, and then proposes a framework of distributed and scalable recommender system based on Hadoop. The recommender system based on Hadoop, combining the advantage of computational ability and scalability of MapReduce and hybrid recommendation algorithms, brings a solution to information overload problem in big e-commerce.

KeyWords
recommender system, big data, algorithms, Hadoop



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