The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 24, 2020
Filed:
Nov. 01, 2016
Facebook, Inc., Menlo Park, CA (US);
Zhurun Zhang, Bellevue, WA (US);
Hao Zhang, Fremont, CA (US);
Junbiao Tang, Mercer Island, WA (US);
James Theodore Kleban, Seattle, WA (US);
Avi Samuel Gavlovski, Kirkland, WA (US);
Hao Song, Mountain View, CA (US);
David Benjamin Lue, Palo Alto, CA (US);
Anand Sumatilal Bhalgat, Mountain View, CA (US);
Facebook, Inc., Menlo Park, CA (US);
Abstract
An online system receives multiple candidate components for including in content items to be presented to online system users. Upon identifying an opportunity to present content to a subject user of the online system, the online system dynamically generates an optimal content item for presentation to the subject user that includes one or more candidate components. Candidate components included in the optimal content item are selected by predicting an affinity of the subject user for each candidate component. The affinity of the subject user for a candidate component may be predicted using a machine-learned model that is trained using historical performance information about content items including the candidate component that were presented to viewing users of the online system having at least a threshold measure of similarity to the subject user. Components of content items used to train the model may be selected using a heuristic (e.g., Thompson sampling).