A display apparatus displaying content corresponding to an installation location and a server providing content considering the installation location of the display apparatus are provided. The display apparatus includes: a display; a communication interface configured to communicate with an external server; and a processes configured to control the communication interface to receive, from the external server, content including an element with a large number of expected viewers identified based on at least one of a number of viewers or an installation location, and control the display to display the received content.

Systems and methods of distributing campaign media are disclosed. In some embodiments, a campaign data structure is obtained related to campaign media. Additionally, audience data structures are obtained, wherein each of the audience data structures describes a corresponding audience of a plurality of audiences. Using a computer device, at least one target audience is selected for the campaign media from the plurality of audiences based on the campaign data structure and the audience data structures. Also using the computer device, one or more electronic transmissions of the campaign media are scheduled to at least one user device associated with the at least one target audience based on the campaign data structure and the audience data structures.

Methods and apparatus to generate corrected online audience measurement data are disclosed. An example apparatus includes an impressions collector to receive a first audience count indicative of first impressions attributed to a first media category for a demographic group, a second audience count indicative of second impressions attributed to a second media category accessed by the demographic group, and a third audience count indicative of third impressions attributed to the first media category and the second media category accessed by the demographic group, the first audience count including a duplicated audience count; a factor generator to calculate a deduplication factor using the first audience count, the second audience count, and the third audience count; an audience calculator to determine a corrected audience count of the first media category to correct the duplicated audience count; and a ratings data generator to generate ratings information for the first media category.

In an approach to providing a notification based on lack of search results, one or more computer processors monitor one or more queries for content in an online marketplace. One or more computer processors determine that a result of the one or more queries is content is not found. One or more computer processors determine that a history of the result of the one or more queries for the content exceeds a threshold for content not found. One or more computer processors send a notification of the history.

A system includes a network interface, a processing system, and a memory system. The memory system stores instructions that when executed by the processing system result in receiving a request and request data associated with a user from a web server and analyzing the request data to identify one or more data gaps associated with the request. One or more third-party services are called to fill at least a portion of the one or more data gaps. A question set is prepared based on determining that the one or more data gaps remain at least partially unfilled. The question set is selected by a machine-learning component trained to adapt a sequence and content of the question set over a plurality of interactions with a plurality of users. The question set is transmitted to the web server for presentation to the user. Data exchanges can be authenticated using tokens.

Classification of the user of an attention application is moved from the cloud, where the classification is performed by advertisers based on trackers that follow a user, to the attention application itself. A user of the attention application controls inputs to the classification model and can exclude sensitive privacy information from inclusion in the classification model. The classification model is applied locally at the attention application to a catalog of advertisements and without revealing to trackers and advertisers whether attention was paid to particular ads. An analytics provider may have increased access to attention applications and can form ad campaigns and provide performance data thereon to advertisers without infringing attention user privacy. The system directs value away from trackers and advertisers and to attention application users and publishers.

Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. One method includes an operation for training a machine-learning program to generate a frequency model that determines a frequency for sending communications to users. The training utilizes training data defined by features related to user information and responses of users to previous communications to the users. The method further includes determining, by the frequency model and based on information about a first user, a first frequency for the first user. The first frequency identifies the number of communications to transmit to the first user per period of time. Further, the method includes operations for receiving a communication request to send one or more communications to the first user and determining send times for the one or more communications to the first user based on the first frequency. The communications are sent at the determined send times.

Methods and systems for handling online requests based on information known to a service provider. One method may comprise: obtaining first information, the first information relating to an online request made using a communication apparatus; using a logical identifier assigned to the communication apparatus to obtain second information, the second information pertaining to a profile associated with the logical identifier, comparing the first information to the second information; and performing an action related to handling of the online request based on a result of the comparing.

A method, apparatus, and computer program product are disclosed to improve generation of electronic communications. The method may provide a plurality of content slots each configured to receive content, the content comprising at least one of promotion content or non-promotion content. The method may also include maintaining a database comprising a plurality of promotion content generators and non-promotion content generators, and determining, using a processor, one of the plurality of promotion content generators or non-promotion content generators for respectively supplying corresponding promotion content or non-promotion content to each of the plurality of content slots. The determining the one of the plurality of promotion content generators or non-promotion content generators may include determining selection parameters, and scoring the plurality of promotion content generators and non-promotion content generators based at least in part on the selection parameters.

Systems and methods are disclosed that measure web activity bursts after ad broadcasts that may be sent to multiple persons. One system uses a cookie-less/cookie-optional, anonymous/personal-identification-not-required, method for web-based conversion tracking that will work on broadcast media systems such as television, and could also be applied to measuring spikes from email, radio, and other forms of advertising where an episodic ad event is broadcast to multiple parties, and where responses occur in a batch after the broadcast.