Patent ID: 11960846
Assignee: PINTEREST, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-readable medium bearing computer-executable instructions which, when executed by a processor on a computing system, carry out a method for inferring an embedding vector for a target content item of a target content type, the method comprising:
accessing document corpus information, the document corpus information describing a plurality of documents that include items of a plurality of content types including content items of the target content type;
identifying a set of documents of the document corpus that include the target content item according to the accessed document corpus information;
for each document of the identified set of documents that include the target content item, adding content items of the target content type within a current document to an aggregated set of content items;
for each content item of the target content type within the aggregated set of content items:
determining a pointwise mutual information (PMI) score for a current content item in view of the target content item; and
if the PMI score for the current content item fails to at least meet a threshold PMI score for the target content item, removing the current content item from the aggregated set of content items;

accessing embedding vectors of the content items of the target content type remaining in the aggregated set of content items;
averaging the accessed embedding vectors; and
associating the resulting averaged embedding vector with the target content item as an inferred embedding vector for the content item.