The invention discloses a user behavior data-based commodity sorting method, which comprises the steps of S1, setting user behavior weight factors, judging whether the number of the user behavior weight factors is greater than zero or not, and if so, executing S2; if not, directly ending the sorting; wherein the user behavior weight factor comprises a user click weight factor and a user collectionweight factor; S2, receiving user behavior data, and calculating a ranking score of each commodity according to a set formula in combination with a user behavior weight factor; and S3, reordering thelist item according to the ranking score of each commodity, and displaying the list item. The commodity sorting system executes the commodity sorting method, can perform secondary sorting on the listitem on the user terminal according to the behavior factor, and improves the accuracy of capturing the favorite commodities of the user, thereby improving the purchase rate of the favorite commodities of the user.