Research On Method Of News Feed Layout Optimization Under The Environment Of Big Data

With the rapid development of Internet, every time there are countless data are created and recorded. Big data research has gradually spread in all walks of life, committed to get implicit value from the data more effectively. Data analysis processing, data mining technology gradually perfect today, such as data visualization to become a new research direction. In this paper, the author studies on the visual rendering of information flow is a special kind of data and information visualization.In this paper, the object of design is the social media News Feed interface. Social media is a typical product of the age of the Internet, and an important source of big data information. As Facebook, twitter, WeChat, microblog, etc. The popularity of social media, information flow penetration in the vast number of Internet users in the daily life, real-time access to multiple types of data information, presented to the user of the client or a web page.Theoretical research phase is divided into three parts. First of all, analyses the data of species diversity and life cycle characteristics of News Feed, research of new media information dissemination characteristics and social network personal propagation mode under the environment of big data, and then proposed that News Feed interface faces three big challenges:information explosion, information circulation and pieces of information under the environment of big data. Secondly, analyze the social media user behavior psychology of three angles, including user adoption and loyalty, user interaction of individual use behavior and user groups. Finally, combining with analysis results of the first two steps, analyze the existing social media News Feed interface layout, proposed in view of the four kinds of extraction strategy of social media News feed: interception and filtering, information sorting, information distribution and information integration. Puts forward two kinds of News feed visualization design method:node graph and text clustering, to reduce the adverse impact on the social media information presented from the information overload caused by the big data environment.In design practice stage, do user research through the questionnaire survey. choose sina weibo as design prototype, on the basis of interface design method, combined with the feature of News Feed characteristic, the information extraction strategy and visualization method, applied to practice. Finally provide evaluation of News Feed layout optimization design, design experiment, record analysis users search task completion time and steps. Confirmed the optimized interface can improve the efficiency of user access to information.