Search Engine Marketing is the strategy that transferring marketing information to the target users as much as possible when the Search Engine was used. Simply, SEM based on SE platform is one form of Internet marketing, and this marketing strategy analyses the users'searching purpose when using SE for transferring marketing information to the target users.SEM not only attracts uses to click into certain commodity's hyperlink, but also ensures that the user became a shopper. Through adwords and Standing-in Search Engine, SEM strategy devotes to gain as much as commercial value with least costs.E-commerce sites cannot go without Search Engine Marketing. This paper realized a solution of SEM strategy, and this system firstly analyses sales orders to get the associations among those commodities. Secondly, be in motion and do business with directional marketing. Using those procedures to convert the visitors to shoppers, this system help E-commerce sites to increase the sales besides promoting the popularity of the web sites.The main research work of this paper is briefly generalized as follows:1. We analyzed the existing information retrieval strategy of general Search Engine technology, and pointed out the insufficiency of using general Search Engine in E-commerce systems.2. We have designed a commodities sales analyzing model using correlation analysis algorithm, and used this model to analyze the correlation between different commodities. 3. We applied this model based on IBM WebSphere Commerce e-commerce platform.At present, a system developed following the commodities sales analyzing model have applied in a large-scale electric appliance enterprise's online shopping mall. |