Meta Platforms, Inc.
Multiple representations of a user in an embedding space

Abstract:

In one embodiment, a method includes preparing an initialized user-embedding matrix, where the user-embedding matrix includes multiple columns corresponding to a user, preparing an initialized concept-embedding matrix, constructing an interaction table representing interactions between entities, where an element (i,j) of the table indicates one or more directional interactions from an entity represented by row i to an entity represented by column j, running a training algorithm for the embeddings in the user-embedding matrix and in the concept-embedding matrix, where the training algorithm trains the embeddings such that embeddings representing entities with interactions are located nearby in the embedding space while embeddings representing entities without interactions are located far apart, and providing the embeddings in the user-embedding matrix and in the concept-embedding matrix to a downstream service.