Method and apparatus for generating push notifications

An apparatus for generating one or more push notifications to a user device, the apparatus comprising:

• a memory storing a set of instructions;
• and
• one or more processors configured to execute the set of instructions to cause the apparatus to:
• obtain history data representing a history of online activities of a user;
• obtain candidate data representing a set of candidate information to be selected in one or more push notifications to the user;
• generate, based on the history data and the candidate data, user profile vectors representing a user profile associated with the user and content vectors representing a set of content profiles associated with the set of candidate information;
• generate, by using a neural network, embedding user feature vectors of the user and embedding content feature vectors of the set of candidate information based on the history data and the candidate data, wherein the embedding user feature vectors are generated based on one or more items the user selects within a predetermined time period, and the embedding content feature vectors are generated based on one or more content identifiers associated with the set of candidate information;
• determine a first distance between the user profile vectors and the content vectors and a second distance between the embedding user feature vectors and the embedding content feature vectors;
• select first candidate information from the set of candidate information based on a combination of the first and second distances;
• and
• provide for transmission information for one or more push notifications including the first candidate information to a user device associated with the user.

A non-transitory computer readable medium that stores a set of instructions that is executable by at least one hardware processor of an apparatus to cause the apparatus to perform a method of generating one or more push notifications to a user device, the method comprising:

• obtaining history data representing a history of online activities of a user;
• obtaining candidate data representing a set of candidate information to be selected in one or more push notifications to the user;
• generating, based on the first and second data, user profile vectors representing a user profile associated with the user and content vectors representing a set of content profiles associated with the set of candidate information;
• generating, by using a neural network, embedding user feature vectors of the user and embedding content feature vectors of the set of candidate information based on the history data and the candidate data, wherein the machine learning model is trained with a history of online activities of a plurality of users tracked by the one or more servers, wherein the embedding user feature vectors are generated based on one or more items the user selects within a predetermined time period, and the embedding content feature vectors are generated based on one or more content identifiers associated with the set of candidate information;
• determining a first distance between the user profile vectors and the content vectors and a second distance between the embedding user feature vectors and the embedding content feature vectors;
• selecting first candidate information from the set of candidate information based on a weighted combination of the first and second distances;
• and
• providing for transmission information for one or more push notifications including the first candidate information to a user device associated with the user.