A Novel Pipeline Approach for Service Index to E-Shoppers using Big Data Analytics.

Research Journal of Pharmaceutical, Biological and Chemical Sciences

article

Nirmalrani V¹  Saravanan P.¹ 

[1] Department of Information Technology, Sathyabama University

关键词: Big Data Analytics;    Comparison;    Distributed Computing;    Disseminated Figuring;    Enormous Information Registering;    E-Shopping;    Gateway Application;    Information Conveyance Calculation;    Online Shopping;    Recommendation.;   

DOI  :  10.33887/rjpbcs/2019.10.4.19

学科分类：工程和技术（综合）

来源: Research Journal of Pharmaceutical, Biological and Chemical Sciences

【 摘 要 】

The rising of Big Data applications wheredata gathering has grown greatly and is past the limit ofnormally used programming gadgets to get, administer, and handle insidea "Passable Elapsed Time". Some bigdata problems which we face in today’s world are existing systems use Super Computers for data processingand is not cost efficient. Existing administration correlation and recommender frameworks experiencesversatility and effectiveness. The existing system redirects the page to a selected service provider when atransaction is made. There is no service comparison system which provides comparison of products in agenuine way. Consumers need to deal with different E-Commerce accounts for acquiring items on differentapplications. Hence we propose a scalable, efficient and precise system which enables the customers toprofoundly examine on what item to pick and in which application, simplicity and reasonable with our portal.The customers will be furnished with clean indexes of different items with its determination, cost andfurthermore benefit appraisals which is done measurably enlightening records of petabyte scale in theappropriated figuring perspective also, to make an adaptable, productive and exact framework foradministration level examination between things in market.

【 授权许可】

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