Real Time Product Analysis using Data Mining

Abstract

E-commerce is widely increasing business in the world with increasing revenues every year by manifold times. This is simple indication that more people each day are moving on-line for shopping. It suggests that the preference of the people are changing. People are preferring to buy products more and more from on-line e-commerce websites. They are successfully able to bring the customer in confidence and overcoming the risk involved in on-line transactions by carefully analyzing the behavior of the buyers/sellers and cultivating confidence among the resellers and buyers by developing strategies to attract more business and participation from people. Here comes the existence of price comparison engines into picture which enable the buyers to compare products from different E-commerce websites thus facilitating the buyers to purchase the product at the cheapest price. There are many factors that are involved in developing a successful product. The success of the product is defined by the usefulness and the influence the product has on the human life. The Real Time Product analysis using data mining is enables the real time comparison of products on the basis of the prices and other parameters that are obtained though different E-commerce websites. To obtain prices and other parameters of the products from different E-commerce websites , a web Crawler is used that can crawl to different E-commerce websites and fetch the URLs of the products. Once the URL of the products are available, scrapper scrape the details that were abstracted within the URL. This scrapped data is then stored in the database. Then comparison among the products of the different E-commerce websites is being made by using techniques such as inverted indexing. This way the Project aims to provide a solution which grants power in the hands of the users to purchase genuine products at genuine prices and saving user’s time , money and efforts.