A Study on Website’s Column Optimization by User Preference Analysis: Taking “Donghu Circle” as an Example

In the era of big data, the development of localized information platform has made a certain breakthrough, which can be operated and optimized with the help of data analysis and around user preferences and column classification. Through the user's use track and browsing preference on the platform, the reaction degree of users to different column content is explored, and the most concerned and interested sections are found, so as to optimize the column classification and content filling.