The Design And Implementation Of Advertising-Shopping Guide Application Based On Alibaba Advertising System

With the development of mobile, many traditional businesses on PC have trend to transfer to mobile devices, including e-commerce. Taobao releases an application on the mobile platform early. However, its idea is much from the PC website and not enough to cater to the mobile enduser habits. Therefore, in the mobile phone, Taobao is not an app that helps people find proper item, but only a transaction tool. On the contrary, the original flow source for Tabao—Meilishuo, Mogujie, plays an important role in the process ofmobile phone users in the purchase decision.Therefore, Taobao need to transter from the tool to the content provider. As the birthplace of the shopping guide software, the advertising department is actively seeking to make the reflux flow from outside to Taobao ecosystem.The advertising-shopping guide application this paper designs and implements is an application of Taobao advertising department, which is divided into two parts, shopping guide and advertising functions. Among them, the shopping guide is the foundation of the system, whose primary task is to provide users with high-quality shopping guide contents to ensure the continued accumulation of user flow. On the other side, the shopping guide content get product information from advertising platform "Jingpinku", get content(including share, list, etc.) from the service vendors of PC platform, get relevant recommendations from algorithm server, and organize all these informations with the application. In terms of advertising, the advertising shopping guide system access to "Taobaoke" advertising platform, service vendors can get pay for their content. At the same time, based on analysis of user behavior in order to provide personalized advertising pushing, the system can easily improve customer satisfaction and transaction conversion rates.Advertising of shopping guide system uses ASIHTTPRequest, SDWeblmage, PKRealController and other framework to implement a system on iOS, which contains advertising technology shopping guide services. The system includes commodity browsing, searching, commodities collection, message notification and so on. With it, many things can be completed: browsing the contents, collecting and purchasing goods, recording user behavior, pushing personalized shopping guide for the user information. The system completes a smooth network communication, displays beautiful pictures and good interaction design, and enhances user experience. Among them, the system uses the WebP image compression format, which reduces communication costs and strengthens the user experience. Currently, the design and implementation of the system has been completed, the system is during internal testing phase.