The invention discloses a woman shirt recommendation method based on a
random forest algorithm, and the method comprises the steps: 1, carrying out the feature analysis of woman shirts, summarizing the related features and styles, carrying out the classification, sequentially carrying out the feature introduction, carrying out the assignment through statistical variables, and preparing for the construction of a subsequent model; 2, firstly, collecting a female shirt style
label sample on a platform, and performing assignment on the basis of feature quantification in the step 1; and step 3, connecting the model constructed in the step 2 to a user side for application, realizing recommendation of the user's female shirts, then pushing recommendation result evaluation to the user side, and receiving
evaluation data after the user side completes the evaluation. According to the woman shirt recommendation method based on the
random forest algorithm, through setting of the first step, the second step and the third step, the woman shirt can be recommended after feature analysis is carried out on the woman shirt, so that compared with a mode in the prior art, the recommendation accuracy is effectively improved.