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With the development of mobile communication technology and the constant improvement in electronic commerce market environment, mobile internet electronic commerce is becoming the new growth point. Popular electronic commerce portals such as Amazon and eBay require user individual data to be deposited on their servers for serving these users with personalized recommendations. Therefore, electronic commerce platforms need an automated shopping assistant to support people reduce the cost of shopping, decrease the time spent on shopping and make it interesting. After the brief introduction of mobile e-commerce personalized platform system concept, the architecture of electronic commerce platform construction under the mobile internet background is put forward. We outline the evaluation framework that we are currently employing to carry out this calculation. Introduction In the development of Internet in China, PC Internet is becoming saturated, but mobile Internet is showing blowout development. Prospective industry Research Institute released the "China Mobile Internet market outlook and investment strategic planning analysis of prospective report" data show that until the end of 2013, China's mobile phone users more than 5 billion, accounted for 81%. With the decline in the price of mobile terminals and the widespread laying of Wi-Fi, mobile Internet users show an explosive trend. The users of large e-commerce platforms often encounter the problem of information overload; the source of the overload information is the product and the transaction information. A large number of products, customer and transaction information to customers search and selection of goods difficult, and the supplier will face up in a timely manner to deal with vast amounts of information and how to push customers to information related to the pressure. If the products will be regarded as the source of information, users to buy and recommended actions regarded for interaction with the information between the source, you should can design an information system the user information, sources of information, interactive information input to the system, after treatment system, the output a group of users are most likely to interact with the information source, this is the electronic commerce recommendation system of the basic principles. Good design of the recommendation system can effectively alleviate the information overload problem of supplier. Mobile Internet Mobile Internet is a through intelligent mobile terminal, the mobile wireless communication way to obtain services and emerging business, contains three levels of terminals, software and applications. The terminal layer includes the smart phone, tablet PC, e-book, MID, etc. the software includes operating system, middleware, database and security software, etc. Application layer includes leisure entertainment, media, business finance and other applications and services. With the development of technology and industry, in the future, LTE (long term evolution, key technologies of 4G communication technology standard of) and NFC (near field communication, mobile payment support technology such as network transmission layer will also be included in the category of mobile Internet. With the rapid development of broadband wireless access technology and mobile terminal technology, it is urgent for us to be able to even be able to anywhere easily from the Internet access 5th International Conference on Information Engineering for Mechanics and Materials (ICIMM 2015) © 2015. The authors Published by Atlantis Press 1222 to information and services in the process of moving, and the rapid development of mobile Internet came into being. However, the mobile Internet is also facing a series of challenges in the aspects of mobile terminal, access network, application service, security and privacy protection, etc.. The basic theory and the research of key technology have important practical significance for the whole development of national information industry. E-commerce platform system Demand analysis. There are two main objectives of the e-commerce website platform system: (1) to promote sales. Attract more customers to purchase, purchased in the user when implementing cross selling, gives the best fit to the users of goods, auxiliary site timely introduction of characteristic commodity sales potential, and differences in the sales of other sites. (2) Improving customer relationship and promoting the brand value of the website. Platform system to be able to in the process of the use of a user as far as possible to meet the user's demand, in real time, and the user keep interaction and contact, attract potential customers, and according to the user feedback information for learning and self improvement. The explosive growth in the volume of the modern information society, so that consumers are more dependent on the brand effect make consumption decisions. Therefore, in design recommendation system should breakthrough single to recommend the best products as the goal; the different needs of the user identification and intelligence are to provide personalized recommendation service. User process. In order to achieve the main goal of the recommender system, the user flow chart of the recommendation system is shown in Figure 1. Figure 1 user process At the same time for both registered users and non-registered users to provide services. The traditional recommendation system for the user registration of the hard requirements will be a lot of simple to collect information as the target; do not want to spend more time to the user block outside. This is detrimental to the goal of improving the website brand effect of the smart business Put Information Choose Request

Research on Electronic Commerce Platform Construction under the Mobile Internet Background