Research And Implementation Of A Price Comparison System Based On Web

With the rapid development of online shopping, the products on internet are so abundant that people can buy almost everything from internet as they can through entity store. Many shopping network appears to meeting the needs of online shopping such as Jingdong, Amazon, Dangdang, Taobao etc. Since these websites are different in operation modules, the price for a same product at a certain time is different. For customers who are shopping on internet always hopes to buy the products at the lowest price, to get the cheapest price for a product, they have to search the product on various websites, obviously this is very inconvenient since customers needs open many websites to search the products, and record the price before they compare. Things could become simple if there is a system can automatically gather the product price and shows customers the price comparison results. The purpose of this article is about how to bring the price comparison system success.This article used the method that extract data based on web, through the integration of search function of various shopping network, the system search the products that user entered, and show user the comparison results. Regarding the method of integration of query interface, the first step is to find out the right query interface according to the position of input box and button. Then put the text value into input box, and trigger the click event of the button for sending the query request. Regarding the method of product price info extraction, the first step is to transform the HTML code of product price info page to the DOM tree. Then find out the repeat template with the largest area in the page, and extract the product price info from HTML code according to template. Regarding the method of price comparison, the first step is to do the text segmentation of product description. Then use the algorithm of document similarity to calculate the similarity of product. This method has the high accuracy rate for extracting the product price info. And group the product according to the similarity of product description.