In accordance with the technique described herein, a home shopping content suitable for a specific viewer can be dynamically selected and provided using viewing histories of a home shopping channel. Particularly, a home shopping content in which a large number of viewers are interested can be provided by dynamically selecting a home shopping content using product classification groups specified for receivers using an interest index calculated based on a bounce rate defined by the technique described herein.

Access requests to a database are monitored for average time taken to fulfill the requests and whether a queue of unfulfilled requests is building up beyond an acceptable threshold. When the queue has built up beyond the acceptable threshold and/or when the average time taken to fulfill the requests has exceeded a delay threshold value, database access requests may be rejected. In one advantageous aspect, a graceful degradation in performance may be achieved by selectively rejecting access requests of a lower priority and favoring access requests of a higher priority for execution.

A computer-implemented method of providing seamless online video advertisements includes rendering a video advertisement on a first web page in a first tab. The computer-implemented method also includes recording current time of play constantly during the rendering of the video advertisement and receiving a request for a second web page in the first tab from the user. Further, the computer-implemented method includes unloading the first web page and loading the second web page in the first tab. Moreover, the computer-implemented method includes retrieving current time of play stored corresponding to the unloading and resume the rendering the video advertisement on the second web page based on the current time of play retrieved.

Dynamic allocation customization is disclosed. A template associated with content to be published on behalf of one or more entities is obtained. The template includes at least one allocation parameter. For each entity in the one or more entities, a data store including allocation information pertaining to the entity is queried based at least in part on the at least one allocation parameter included in the template. In response to the query, one or more allocation data values are obtained. An object including the obtained one or more allocation data values is generated based at least in part on the template. The generated object is provided as output to be published on behalf of the entity.

The path the consumer takes on a commute may be determined and merchants that desire the group of consumers and that are on the commuting path may allow merchants to provide advertisements and offers to desired consumer group that have indicated they desire offers and advertisements.

An automated media scheduling system maintains information associating multiple different content triggers with multiple different content adjustment parameters. The content adjustment parameters include a first content trigger associated with a first adjustment parameter specifying a first media channel to be used to deliver first triggered content associated with the first content trigger. The media scheduling system monitors media delivered via a second media channel, different than the first media channel, to determine whether the first content trigger was delivered via the second media channel. In response to determining that the first content trigger was delivered via the second media channel, the media schedule of the first media channel is automatically adjusted in accordance with content adjustment parameters associated with the first content trigger, wherein automatically adjusting includes altering the media schedule of the first media channel to include the first triggered content.

The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system can allocate advertising campaigns and plans to various inventory types based on the probability of accurate consumer matching. Consumer matching can be achieved by generation of look-alike models in a consumer's device graph to predict future consumption behavior. The system includes an interface through which an advertiser can access relevant information about inventory and success of a given placement.

A goal-based method and device, as disclosed herein, are usable to identify advertising opportunity sets. The method, in an embodiment, includes executing a plurality of computer-readable instructions to cause at least one processor to modify at least one opportunity set as a result of such opportunity set deviating from an advertising goal by a first extent. The modifying step results in a modified opportunity set that deviates from the advertising goal by a second extent. The execution of the instructions causes an output that identifies the modified opportunity set.

Embodiments of the present disclosure may provide methods, systems, and computer-readable media configured to perform at least the following functions: specifying an advertising asset; receiving media content to be associated with the advertising asset; specifying at least one condition for transmitting the media content, wherein specifying the at least one condition comprises specifying at least one of the following: a first condition associated with at least one element of profile data corresponding with a device configured to receive the media content, a second condition associated with at least one action performed by the device, and a third condition associated with a device location; receiving a content captured by the device; detecting the advertising asset with the captured content; determining whether the at least one condition for transmitting the media content has been met; and transmitting the media content.

Embodiments of the present disclosure may provide methods, systems, and computer-readable media configured to perform at least the following functions: specifying an advertising asset; receiving media content to be associated with the advertising asset; specifying at least one condition for transmitting the media content, wherein specifying the at least one condition comprises specifying at least one of the following: a first condition associated with at least one element of profile data corresponding with a device configured to receive the media content, a second condition associated with at least one action performed by the device, and a third condition associated with a device location; receiving a content captured by the device; detecting the advertising asset with the captured content; determining whether the at least one condition for transmitting the media content has been met; and transmitting the media content.