The invention discloses a personalized video recommendation method and system, and the method comprises the steps: A, carrying out the preprocessing of all current videos, and extracting the codes ofthe videos; b, for a new user, randomly recommending a batch of videos; c, calculating the fitness of each recommended video to the user according to the operation feedback of the user on the batch ofvideos, including like clicking, commenting, forwarding, watching length, watching times and other factors; d, preferentially selecting the previously recommended video through the fitness; e, randomly enabling the previously selected video codes to generate some mutations, performing some mutations, and giving some new attempts to the user; according to the method adopted by the invention, shortvideo recommendation can be carried out on the user to a certain extent, a certain learning ability and interpretability of a result are achieved, and the problem of cold start can be solved to a certain extent.