Research On Web Page Area Weight For The Layout Of Personalized Recommendation Content

In order to solve the problem of information overload on the Internet and meet the needs of users’personalized services, personalized recommendation technology came into being at this historical moment. Now E-commerce industry has changed from the traditional model that "The merchant sales what they have" into the new mode "The merchant will provide what consumer need", personalized recommendation technology as a new power of E-commerce on this new age, it has got great development and became more and more popular. The content of personalized recommendation is complex, it may be words, pictures, and video, the state of it can be static, dynamic, even combine two states. Web page as the media of personalized recommendation technology, the content of personalized recommendation how to put on the page is important factor which is affect users browse and online shopping. In the same situation, what kind of web page layout can attract more customers and improve the recommendation success rate, which has attracted more and more people pay attention to it. Scientific and clear web page layout, not only can help users quickly browse and enhance the transaction success rate of potential users, but also can bring users excellent experience in the process of browsing website, cultivate users’loyalty and create different advantage from other competitors.The scientific and seasonable web layout is that combine with the content of personalized recommendation and web page structural features, it will continue to favor by users only do like this in the process of research, the weight is the key, based on the exist research, combining theoretical knowledge from different disciplines, fully considering various factors that influence the weight value. The purpose of this paper is that combine with the weight and web design layout. The first step is block the web page, change that web research in the past is based on the web page itself as the basic unit. In this study, content block is the minimal processing unit, research is based on web function and use machine learning method to realize automatic distinguish web pages.Based on web page classification, combining with psychological knowledge and mathematical knowledge to give a value weight for every content block. Finally the weight value of every piece of content as quantitative index of web page layout, put forward a set of scientific theory for the web page layout of personalized recommendation content. If a web page distinguish system combined with this method and an excellent recommendation algorithm, it will achieve a high success rate. At the same time, this paper built a bridge of communication between personalized recommendation technology and web design, laid the foundation for the related research, it also indicate the direction of the further research.