Research And Implementation Of Micro-blog Sorting Algorithm Based On Network Structure And Content Understanding

With the continuous development of society,the Internet in people's lives have been more widely used,it has a simple information sharing platform has been rapid development,has become a huge network of relationships,that is,we are very familiar with the social The internet.In modern life,the role of social networks is very important in the information access to play an important role,but also a marketing and self-display is a very important platform.As a major social media,microblogging in this process played a very important role in the effective integration of the blog,mobile phone text messages and social networking sites of their own advantages,making the identity of Internet users have changed from the original simple Information receiver has gradually become a complete reception and dissemination of information participants,making the community gradually into the era of a network of social.With the amount of information displayed by microblogging continue to increase,but will be sorted by time is not able to really meet customer needs.In the traditional based on the time-based sorting method,the user wants to focus on the information they need to be one by one on the micro-Bo to view,not only a waste of time is also very cumbersome.Therefore,a new sorting method is needed,which can effectively excavate and integrate the information of all aspects of the user,so that users can get their valuable information,not only that,but also can make the publisher information to him The interest of the crowd display,the effective realization of information receiver and provider of win-win situation.In the paper,mainly has the following work:Use PageRank algorithm to realize large-scale network node important degree's calculate,and then analyze the importance of the micro-blog users.Use the natural language understanding and the related technology to study the micro-blog important degree analyze algorithm.Based on the social network structure and content understanding technology to realize the comprehensive sorting algorithm.Sina microblogging platform,the effective realization of the post data validation algorithm prototype system.In the prototype system,mainly through the use of Sina microblogging official API,the effective realization of the basic structure of the web site,mainly to include the overall framework to build,and effective implementation of the Sina microblogging landing and receiving And the release and attention and other basic functions,and effective implementation of the Friends of the add function.In the traditional MySQL database,only the user's personal information data is stored,and the data storage scheme of the system is designed and realized by using the graphic database,which effectively realizes the storage of the data of the user relation network.The experiment results show that the algorithm of user importance based on social network structure is better,whether user interest model or micro-blog post content and user interest relevance algorithm,or the final comprehensive sorting algorithm Have a very good results.Through the test,it is proved that the verification system developed by these algorithms is effective to complete the task,and truly achieve the initial design goal.