Data marketing method and system for building recommendation model based on convolutional neural network

The invention relates to the technical field of data processing, in particular to a data marketing method and system for constructing a recommendation model based on a convolutional neural network. The method comprises the following steps: firstly, acquiring live marketing data of a live broadcast player and bullet screen information data of the player during live broadcast, constructing a recommendation model through a convolutional neural network in combination with the data, and then, starting to perform data search from a target position in the recommendation model in combination with a watching behavior and a search behavior of a user, according to the method and the device, each piece of data meeting the search task is displayed, search is stopped until the preset condition is met, the search task is obtained by combining the search conditions, the multiple search conditions can be judged at the same time during search, and the search starting position in the recommendation model is adjusted by starting