A Hadoop-based Retail E-Commerce Weblog Analysis System
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract: In the modern age, the act of purchasing underwent a drastic revolution due to the rapid development of e-commerce. For challenging their competitors over such kind of modern setting, which offers more than one way of completing a sales transaction, sellers sense the need to make use of novel plans of action for alluring more customers as well as keeping the existing customers. To set the plans of action, sellers have to analyze the massive web data logs generated by the retail sites. To handle such kind of massive data processing, the traditional text software and Relational DataBase Management System technology has been facing a bottleneck and the results displayed are not very satisfactory. To solve this problem, we are proposing this system which will process these massive web logs with the help of Hadoop as well as allow sellers for linking with purchasers over more than one means at a completely different height through the process of controlling huge capacities of fresh data accessible presently. Purchaser’s online search and browsing behavior data and purchase history can give sellers quick insights into their preferences, wants, and desires. By analyzing these massive web logs, sellers are able to visually explore the data quickly and they can use that information to create targeted “micro” segments as well as personalized promotions.
Authors and Affiliations
Pooja D. Savant , Debnath Bhattacharyya
Keywords
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