Systems and methods for providing a boost for content items in ranking for feeds
AssigneeFacebook, Inc.
InventorTaylor Gordon
Life of this patent
Estimating the term…
Abstract
Systems, methods, and non-transitory computer readable media can determine a value of a boosting parameter, wherein the boosting parameter is indicative of a value of feedback to a first account type. Respective scores of a plurality of content items that are candidates for a feed of a user can be determined, wherein the plurality of content items are associated with at least one of the first account type or a second account type. Respective scores of content items associated with the first account type in the plurality of content items can be adjusted based on the value of the boosting parameter. The plurality of content items can be ranked based on the respective scores of the plurality of content items.
Claims20
A computer-implemented method comprising:
- determining, by a computing system, a value of a boosting parameter based at least in part on a distribution of feedback to a first account type and a second account type, wherein the distribution of feedback is based at least in part on an execution of a plurality of policies that each assign a respective value to the boosting parameter, wherein the boosting parameter is indicative of a value of feedback to the first account type;
- determining, by the computing system, respective scores of a plurality of content items that are candidates for a feed of a user, wherein the plurality of content items is associated with at least one of:
- the first account type or the second account type;
- adjusting, by the computing system, respective scores of content items associated with the first account type in the plurality of content items, based on the value of the boosting parameter;
- and
- ranking, by the computing system, the plurality of content items based on the respective scores of the plurality of content items.
A system comprising:
- at least one hardware processor;
- and
- a memory storing instructions that, when executed by the at least one processor, cause the system to perform:
- determining a value of a boosting parameter based at least in part on a distribution of feedback to a first account type and a second account type, wherein the distribution of feedback is based at least in part on an execution of a plurality of policies that each assign a respective value to the boosting parameter, wherein the boosting parameter is indicative of a value of feedback to the first account type;
- determining respective scores of a plurality of content items that are candidates for a feed of a user, wherein the plurality of content items are associated with at least one of:
- the first account type or the second account type;
- adjusting respective scores of content items associated with the first account type in the plurality of content items, based on the value of the boosting parameter;
- and
- ranking the plurality of content items based on the respective scores of the plurality of content items.
A non-transitory computer readable medium including instructions that, when executed by at least one hardware processor of a computing system, cause the computing system to perform a method comprising:
- determining a value of a boosting parameter based at least in part on a distribution of feedback to a first account type and a second account type, wherein the distribution of feedback is based at least in part on an execution of a plurality of policies that each assign a respective value to the boosting parameter, wherein the boosting parameter is indicative of a value of feedback to the first account type;
- determining respective scores of a plurality of content items that are candidates for a feed of a user, wherein the plurality of content items are associated with at least one of:
- the first account type or the second account type;
- adjusting respective scores of content items associated with the first account type in the plurality of content items, based on the value of the boosting parameter;
- and
- ranking the plurality of content items based on the respective scores of the plurality of content items.
Dependencies are inferred from the claim text.