Network video classification method based on historical access records

The invention relates to a network video classification method based on historical access records and belongs to the technical field of computer network data mining. The method comprises, firstly, automatically analyzing historical access record datasets of videos, extracting meaningful characteristics, generating standby data files for the historical access record datasets of the videos, converting historical access records into structurized documents applicable to training through the data files and then performing machine learning on the structurized documents through logistic regression to obtain prediction models; utilizing the prediction models, according to the integrity of the historical access record information of videos to be predicted, to select corresponding methods to perform classification prediction on the videos to be predicted. Compared with the prior art, the network video classification method based on the historical access records can reduce labor costs and simplify parameters involved in