Recommendation method and system for e-commerce platform

The invention discloses a recommendation method and system for an e-commerce platform, and the method comprises the steps: enabling a first prediction algorithm and a second prediction algorithm to serve as a primary learning device of a Stacking algorithm to carry out the prediction of a training set, and obtaining two prediction data sets; selecting a plurality of strong features, solving a plurality of groups of weight vectors corresponding to the strong features in the training set, respectively weighting the two prediction data sets to obtain corresponding prediction data sets, and respectively training a secondary learner by using the data sets to obtain a plurality of corresponding training models; and predicting the to-be-predicted data set by utilizing the plurality of training models, and taking an average value of prediction results of the plurality of training models as a final prediction result. According to the method, the defects of previous model research are overcome,the prediction accuracy o