期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：3
页码：815-820
出版社：Shri Pannalal Research Institute of Technolgy
摘要：E-commerce is globally increasing business with increasing revenues every year manifold times. This is simple indication of more people moving online for shopping. They have developed many strategies by carefully analyzing the behavior of customers and overcoming the risk involved in online transactions to attract more business and participation from people. The Real Time Product analysis using data mining enables the buyers to compare products from different E-commerce websites, thus facilitating them to purchase the product at the best deal. To obtain the best deals from different E-commerce websites, a web crawler is used to crawl on different E-commerce websites and fetch the URLs of products. The scrapper scrapes the details abstracted within the URLs and stores it in the database. Then comparison among products of different E-commerce websites is made by using techniques such as inverted indexing. This way the paper aims to provide a solution which grants power in the hands of the users to purchase genuine products at genuine deal and saving user's time, money and efforts.
关键词：Business Analytics; Comparison Engine; Data ; Mining; Elastic-Search; JSoup; MongoDB; Product Analysis ; ; Scrapper; Web Crawler
