In general, embodiments of the invention relate to servicing fill request using ad networks and demand-side partners.

The effectiveness of advertisements with respect to a group of panelists is measured. Based on the results of such analysis, advertisements and/or variants thereof are selected for presentation to consumers. Effectiveness of advertisements is measured, in one embodiment, by detecting exposure to advertisements, and then monitoring panelist behavior following exposure to an advertisement. In one embodiment, the group of panelists is a representative sample of a larger population, so that observations of panelist behavior can be used as a basis for making decisions regarding presentation of advertisements to a larger audience having characteristics similar to those of the panelists.

Once the relative effectiveness for various audiences has been determined, advertisements can be selected for presentation to individual consumers or to groups of consumers, so as to maximize effectiveness. In one embodiment, such analysis and selection is performed substantially in real-time.

Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example method includes installing a monitoring enabled application on a media device. Configuration information to instruct the monitoring enabled application to enable monitoring functionality is accessed. A media presentation event is identified within the monitoring enabled application. A media identifier corresponding to the media presentation event when the monitoring functionality is enabled is determined. At least one of a user identifier or a device identifier associated with the media device is determined when the monitoring functionality is enabled. A record is transmitted including the media identifier and the at least one of the user identifier or the device identifier to the audience measurement entity when the monitoring functionality is enabled.

A method and system for caching concept structures in a cache memory of a user computing device are provided. The method includes collecting at least one environmental variable related to a user of the computing device; retrieving at least one concept structure matching the at least one received environmental variable, each concept structure comprises a concept metadata associated with a plurality of multimedia content elements; and caching the at least one matching concept structure in the cache memory.

The disclosure includes a system and method for generating virtual reality content. For example, the disclosure includes a method for generating virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data with a processor-based computing device programmed to perform the generating, providing the virtual reality content to a user, detecting a location of the user's gaze at the virtual reality content, and suggesting an advertisement based on the location of the user's gaze. Another example includes receiving virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data to a first user with a processor-based computing device programmed to perform the receiving, generating a social network for the first user, and generating a social graph that includes user interactions with the virtual reality content.

A method according to one embodiment includes mapping the competitive computer network environment based on network connections between web domains within the competitive computer network environment, wherein the web domains include at least a target domain and a plurality of source domains, determining persistence properties of the network connections between the web domains to identify network connections that are expected to persist for at least a threshold period of time, determining, for each source domain of the plurality of source domains having a network connection with the target domain expected to persist for at least the threshold period of time, a referral value indicative of an amount of network traffic directed from the source domain to the target domain, and ranking the source domains based on the corresponding referral values.

The disclosure is directed to approaches for combining server-side decisions based on user attributes and/or demographics with client-side decisions based on expressed or implied user interests determined based on the contents of a web page being visited by the user. A server is responsive to an occurrence of an operation of a client device at the web page. Processing steps determine particular executable web page content to send to the client device (e.g., where the particular executable web page content is determined in response to a particular client-side operation). The web page is rendered with the aforementioned executable web page content. Server-side processing receives messages that are emitted conditionally, based on the occurrence of a user event. An event log message comprises a portion of the web page, such as a string, indicating or implying user interest. A targeted advertisement is presented to the user based on the user interest.

[Object] To provide a content output system, a terminal device, a content output method, and a recording medium which can increase accuracy in measurement of a degree of attention to content. [Solution] A content output system including: a communication unit which receives a signal from a surrounding user device; an output unit which outputs content; and a control unit which determines, on the basis of user state data indicating a state of a user corresponding to a user device, which is included in a broadcast signal from the user device, that the user corresponding to the user device is paying attention to content output by the output unit when a radio wave intensity of the received signal is equal to or higher than a predetermined value.

Approaches provide for or automatically optimizing sponsored content campaigns for a sponsored content provider for a particular consumption category across different content publisher networks. For example, performance data for sponsored content campaigns can be used to train a model for a consumption category to determine allocation scores that quantify a relationship between target audiences and the consumption category. In response to a content placement request to initiate a sponsored content campaign associated with the consumption category, allocation scores can be determined and used to dynamically determine an allocation of resources to appropriate audiences or segments based at least in part upon the trained optimization model. A campaign template can be generated that includes the target audience(s), sponsored content, and respective budget allocation, and any other information for the campaign. The campaign can proceed based at least in part on the campaign template, and performance of the campaign can be monitored and analyzed during the campaign to optimize the campaign dynamically.

Technologies for associating an entity with a content delivery campaign are provided. Disclosed techniques include determining a first value of a profile attribute of the entity. A particular node that matches the first value is identified from a value tree of nodes. A parent node of the particular node is identified from the value tree. Child nodes of the parent node are identified, where the child nodes do not include the particular node. Values from the child nodes are then associated with the profile attribute of the entity. A particular value is received for a particular targeting criterion of the content delivery campaign. It is determined whether the particular value matches a value of the child nodes, where the particular value does not match the first value. In response to determining that the particular value matches a value of the child nodes, associating the entity with the content delivery campaign.