Systems and methods for targeted advertising
AssigneeAppBrilliance, Inc.
InventorsMarcus G. Larner, Andrew Michael Moeck
Life of this patent
Estimating the term…
Abstract
Methods of generating recommendations may include obtaining social network data from one or more network resources. Word relationships may be created between selected words in the social network data to produce relationship data. Advertisement or other asset recommendations may be generated for a target user by analyzing browse information of the target user to identify one or more words. Other words in the relationship data may be identified that are related to the words in the target user's browse information. One or more advertisements may be identified having at least one keyword that corresponds to the other words. At least a portion of these advertisements may be selected from a data repository to provide to the target user.
Claims30
At a computer server that is accessible via a computer network to a plurality of user devices including a particular user device of a particular user, performing a computer based method comprising:
- accessing, at the computer server, a plurality of social media content items stored in a data storage device, each of the plurality of social media content items accessible to the particular user device associated with the particular user;
- scoring, at the computer server, each of the plurality of social media content items to generate a scored subset of highly ranked content items, the scoring based on user tracking data of the particular user and based on scoring factors that include content type, popularity, and recency;
- and
- communicating content associated with items in the scored subset of highly ranked content items from the computer server via the computer network to the particular user device.
A computer system comprising:
- a processor;
- a memory coupled to the processor, the memory storing instructions executable by the processor to:
- access a plurality of social media content items stored in a data storage device, each of the plurality of social media content items accessible to a plurality of user devices including a particular user device associated with a particular user;
- score each of the plurality of social media content items to generate a scored subset of highly ranked content items, the scoring based on user tracking data of the particular user and based on scoring factors that include content type, popularity, and recency;
- and
- communicate content associated with items in the scored subset of highly ranked content items via a computer network to the particular user device.
A non-transitory, computer readable medium storing instructions that, when executed by a processor, cause the processor to perform operations comprising:
- accessing a plurality of social media content items stored in a data storage device, each of the plurality of social media content items accessible to a plurality of user devices including a particular user device associated with a particular user;
- scoring each of the plurality of social media content items to generate a scored subset of highly ranked content items, the scoring based on user tracking data of the particular user and based on scoring factors that include content type, popularity, and recency;
- and
- communicating content associated with items in the scored subset of highly ranked content items via a computer network to the particular user device.
Dependencies are inferred from the claim text.