| With the big data industry of Guizhou Province,the "7+N" cloud project has begun to take shape.Taking the Internet plus as a means of work to participate in the poverty alleviation is an important measure of Guizhou Red Cross’ s fraternity cloud construction.Boai cloud donation crowdfunding recommendation system makes full use of Red Cross data resources to recommend interested and popular public welfare crowdfunding projects for members.Through the recommendation of members’ public welfare projects,we can continuously improve the fund-raising rate of public welfare projects,and realize the accuracy and maximum benefit of humanitarian assistance and public welfare services.This paper deeply studies the current mainstream recommendation model,through the analysis of project requirements and data,and finally determines to use the weighted hybrid recommendation model to generate the public welfare project recommendation list.In order to solve the problem of project cold start,TFIDF is used to extract features,generate recommendation list,and record user feedback data.This paper optimizes the traditional collaborative filtering algorithm,integrates the user’s attribute features as the weight,and improves the accuracy of algorithm recommendation.In this paper,a hybrid recommendation model is constructed by content-based recommendation list and feature fusion collaborative filtering recommendation list.The polynomial regression and grid search algorithm are used to achieve collaborative filtering and weighted hybrid model weight calculation.Finally,the online test on the platform shows that the weighted hybrid recommendation model proposed in this paper has better performance in the public donation crowdfunding data set.By analyzing the functional requirements of the weighted hybrid recommendation model,the front and back functions of the system are designed and implemented.This paper uses lamp architecture to develop the system,and designs the front-end interface based on layui framework.After testing,a safe and stable system suitable for the Red Cross public welfare project recommendation is completed. |