Recommender System for E-Commerce Applications using Hadoop Framework

نویسندگان

  • R Velumadhava Rao
  • K Selvamani
چکیده

Nowadays, the usage of e-commerce applications increased rapidly with more number of users. The advancement in technologies like mobiles and other social media generated different variety and large quantity of data which is increasing a lot. The data collected and stored by social media is distributed and stored as a unstructured data in the server. The unstructured and an unformatted data is collected through the social media and other devices for ecommerce applications contains either useful information or irrelevant information. The informat ion needs to be sorted out as the structured data and the relevant and useful information has to be retrieved and stored for further processing. The recommendation system developed for e-commerce applicat ion should improve the usage services with effective and convenient shopping experience by the users. In this paper we develop a Hadoop based e-commerce based recommender system for application of e-commerce with an implementation in Openstack. .

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تاریخ انتشار 2016