Patent ID: 11966853
Assignee: SNAP INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
receiving, at a server computer system, a request for lookalike data, the request for lookalike data comprising seed data;
generating, by the server computer system, sample data from the seed data and from user data for a plurality of users, to use in a lookalike model training, by performing operations comprising:
generating a positive data sample from the seed data to use in the lookalike model training; and
generating a negative data sample from user data stored in a database to use in the lookalike model training;

training, by the server computer system, a lookalike model based on the sample data and user profile features for the plurality of users to generate a trained lookalike model;
generating, by the server computer system, a lookalike score for each user of the plurality of users in the user data using the trained lookalike model;
capturing, by the server computer system, a snapshot of social graph data for the plurality of users and determining at least one social graph feature;
generating, by the server computer system, a social graph score for each user of the plurality of users by comparing each user of the plurality of users to each user of the seed data based on the at least one social graph feature;
performing, by the server computer system, optimized ranking of the plurality of users based on the generated lookalike score for each user and the social graph score for each user;
generating, by the server computer system, a final lookalike score for each user of the plurality of users based on the optimized ranking; and
generating, by the server computer system, a list comprising a unique identifier for each user of the plurality of users and an associated final lookalike score for each unique identifier.