Research on the Information Collection Model of WeChat Platform Based on Artificial Intelligence Technology
The information collection model of WeChat platform is studied based on artificial intelligence technology.Taking a li-brary as an example,a WeChat platform information collection system is designed,and its core book recommendation function module is designed in detail.Firstly,the overall framework and functional modules of the WeChat platform information collection system were designed;Then,the book recommendation system was studied and designed,and a book recommendation model based on click through rate was proposed to calculate the probability of users clicking on books,predict the books that users may click on,and then achieve accurate book recommendation;Finally,the book recommendation system and WeChat platform information collection system are tested and tested respectively.The experimental results show that the book recommendation system based on the lifting decision tree model in this paper has the best comprehensive performance,with an average absolute error of 1.755,a mean square error of 1.932,and a root mean square error of 1.841,which can more accurately predict the books that users may click,Then achieve pre-cise and effective recommendation of books that meet users'needs and preferences;The library's WeChat official account can operate normally after the successful connection with WeChat APP,and the WeChat platform information collection system has good perform-ance,which can meet the requirements of users to quickly obtain library related information and improve the quality of library informa-tion service,and has certain reference value.
万方数据
维普
