Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: The subject matter of this document generally relates to reducing noise in aggregated data using frequency analysis. In some implementations, a system for reducing data noise using frequency analysis includes a data storage device that stores content and a network association processor in data communication with the data storage device. The network association processor aggregates, for a given group, content of one or more additional groups that each have overlapping members with the given group. The network association processor reduces noise in the aggregated content of the one or more additional groups using frequency analysis by determining, for each portion of content in the aggregated content, a frequency of occurrence of the portion of content within the aggregated content and filtering, from the aggregated content, each portion of content that has a frequency of occurrence that is less than a threshold.

Abstract: A method for enabling a user of a computing device to designate a content item for subsequent review is provided. The computing device is coupled to a memory device and a display. The method is implemented using the computing device. The method includes displaying, by the computing device, a first publication. The method further includes the steps of displaying, by the computing device, a content item at a first time, wherein the content item is displayed in conjunction with the first publication. The method further includes receiving, by the computing device, a first input from the user to designate the content item for subsequent review, generating an indicator that the content item has been designated for subsequent review, causing the memory device to store the indicator, determining a second time to display the content item, and displaying the content item at the second time.

Abstract: A method for enabling a user of a computing device to designate a content item for subsequent review is provided. The computing device is coupled to a memory device and a display. The method is implemented using the computing device. The method includes displaying, by the computing device, a first publication. The method further includes the steps of displaying, by the computing device, a content item at a first time, wherein the content item is displayed in conjunction with the first publication. The method further includes receiving, by the computing device, a first input from the user to designate the content item for subsequent review, generating an indicator that the content item has been designated for subsequent review, causing the memory device to store the indicator, determining a second time to display the content item, and displaying the content item at the second time.

Abstract: Systems, methods, and apparatus, including computer program products, for collaborative filtering are provided. A method is provided. The method includes clustering a plurality of entities with respect to one or more latent variables in a probability distribution model of a relationship between a set of entities and a set of items, the probability distribution model comprising a probability distribution of the set of items with respect to the latent variables. The method also includes, as new items are added to the set of items, updating the probability distribution of the set of the items with respect to the latent variables, and generating an updated relationship score for an entity with respect to the set of items based on the entity's fractional membership in the clustering with respect to the latent variables and based on the updated probability distribution of the set of the items with respect to the latent variables.

Abstract: Among other disclosed subject matter, a computer-implemented method for determining an aspect value includes identifying a first entity associated with a first aspect that has a first value. The method includes identifying a second entity as connected to the first entity. The method includes determining a second value for a second aspect of the second entity. The method includes determining, for a third entity, a third value for the first aspect, the third value determined using at least the determined second value. Implementations can be used to evaluate truthfulness of self-reported information from members of online communities, to name one example.