Research And Application Technology Of User Behavior Analysis For Blog Search

With the continuous growth of Internet information, blog has become an important application of Web2.0, people use blog to express views ideas, writing a series of life activities. Because the network contains a large amount of information, users of blog search engine features, search results and intelligence have higher requirements, and it is hoped that the search engine can provide more accurate and closer to the individual needs of search results. Therefore, it is important an d has practical significance to analyze user search behavior, enhance blog search engine capabilities, timely understand the user’s search intent.This thesis reviews the relevant research background of current blog search feature and user behavior analysis technology, describes the user behavior analysis and uncertainty involved in the process of reasoning methods and development of technology. This thesis details the specific steps of user behavior analysis and gives the definition of user behavior model, such as degree of interest, attributes vector of blog and user intention matrix, and then this thesis details description of blog’s user-oriented behavior modeling method. This thesis consider the time effect and click effects of user blog search, gives the definition of click degree and view degree, proposes Bayesian classifier based on user interest calculation method, deals with uncertainty question in the process of interest calculation, and interest calculation algorithm is in-depth studied in the thesis. In accordance with the previously studied user behavior analysis, this thesis design and realize a user behavior analysis prototype system. It shows the system architecture, data flow, logical structure and database design, and then, for this system, a number of important modules specific analysis and implementation process is given. Finally, the thesis describes the prototype system pilot program, and the results of data analysis.The user behavior analysis technology is being applied to search for blog search re-sorting system. From the user point of view, this thesis fully takes into account the actions of their search behavior. The technology is an important part of the system, it is also the whole system close to user search intent of the key.