Research And Application Of User Interest Algorithm In Search Engine Optimization

At present, the search engine has become an important way of people get information on the Internet. Thus, the rank of the website in the search engine determines the page visits. Search Engine Optimization is a means of improving website ranking. Although the development of search engine optimization technology is already quite mature, the implementation is mainly depend on technical staff understanding of search engine technology and Combined with their own experience, especially in the website link structure optimization and keyword search. This kind of optimization method rarely consider the user access habits, therefore, the optimization effect is usually not obvious may even reduce the user experience. Mining and analysis of user access habits is one of the important applications of Web data mining.The purpose of this thesis is the Web data mining technology is applied to search engine optimization. Keyword optimization and website structure optimization is the main object of study, make the optimization process can also focus on search engine and web access user. The main work in the thesis-is the following:1. First of all, collated and summarized the classical and new research of the domestic and foreign scholars, Summary the two technologies of the web data mining and search engine optimization used in this thesis. Analysis of common technology, research status and main application directions, finally determination of main research direction.2. Through data collection, data preprocessing, pattern mining and analysis to design and realization of the user interest mining algorithm. During the mining process, adopt client acquisition method for data acquisition and keep At the same time to ensure the integrity of data can reduce the working difficulty in data cleaning; to identify users using "session id" and session using page source; To provide data support for the optimization scheme, complete the information of log, establish the user interest matrix and pruning matrix finally.3. Identify potential interest paths associated with the page to be optimized using the user interest matrix and pruning matrix finally. According to the potential interest paths to make the optimization scheme of internal links structure for website, and compared before and after optimization of page access to verify the optimization effect.4. Establish the Weight table of Keyword access using completion of key information, According to the table will be able to identify each page to the user search of keywords ranking, According to this ranking, to make the optimization scheme of keywords for websites, And compared before and after optimization of optimal number of site visits and source of keywords to verify the optimization effect.We hope that through the several aspects of the study, when finding common interests and concerns of all websites information from the user’s perspective. Applied to the process of internal link structure optimization and keyword search, provides a user oriented optimization method for search engine optimization technology...