Method, apparatus, electronic device, and storage medium for recommending multimedia resource

An apparatus for recommending multimedia resource, comprising:

• a processor;
• and
• a memory, configured to store executable instructions of the processor,
• wherein the processor is configured to read and execute the executable instructions to:
• acquire features of the multimedia resource based on a convolutional neural network, wherein the convolutional neural network comprises N convolutional layers, wherein N is a positive integer;
• determine user interest information based on an identifier of a recommended user, wherein the user interest information is corresponding to the feature of each convolutional layer;
• determine a first feature matrix based on the convolution of convolution kernel and the feature, wherein the convolution kernel comprises the user interest information;
• generate user preference data based on the first feature matrix;
• and
• recommend the multimedia resource to the recommended user based on the N generated user preference data.

A non-transitory computer readable storage medium, wherein instructions in the storage medium are executed by a processor of an electronic device to cause the electronic device to:

• acquire features of the multimedia resource based on a convolutional neural network, wherein the convolutional neural network comprises N convolutional layers, wherein N is a positive integer;
• determine user interest information based on an identifier of a recommended user, wherein the user interest information is corresponding to the feature of each convolutional layer;
• determine a first feature matrix based on the convolution of convolution kernel and the feature, wherein the convolution kernel comprises the user interest information;
• generate user preference data based on the first feature matrix;
• and
• recommend the multimedia resource to the recommended user based on the N generated user preference data.