Collaborative recommendation method and system based on agricultural product characteristic attribute comment tendency

The invention designs a collaborative recommendation algorithm and system based on agricultural product characteristic attribute comment tendency, and solves the problem that agricultural product recommendation in a current e-commerce platform is not accurate enough. According to the invention, the problem that a traditional collaborative filtering recommendation algorithm only considers the singleness of user scores is improved; a user score is combined with comment emotional tendency degree weighting, agricultural product characteristic attribute tendency in user comments is quantified to serve as an improved method for calculating important parameters of user similarity, and a user comment model matrix is constructed in combination with the user score; when the user similarity is calculated, a matrix is used for replacing user scores in a traditional recommendation algorithm for calculation, neighbor set searching is conducted by comprehensively considering the user scores and comment information, and fina