Machine-learning based multi-step engagement strategy modification is described. Rather than rely heavily on human involvement to manage content delivery over the course of a campaign, the described learning-based engagement system modifies a multi-step engagement strategy, originally created by an engagement-system user, by leveraging machine-learning models. In particular, these leveraged machine-learning models are trained using data describing user interactions with delivered content as those interactions occur over the course of the campaign. Initially, the learning-based engagement system obtains a multi-step engagement strategy created by an engagement-system user. As the multi-step engagement strategy is deployed, the learning-based engagement system randomly adjusts aspects of the sequence of deliveries for some users. Based on data describing the interactions of recipients with deliveries served according to both the user-created and random multi-step engagement strategies, the machine-learning models generate a modified multi-step engagement strategy.

Methods and apparatus configured for use with a network and productivity platform for podcasts is provided. A method, for example, includes accessing a first information relating to at least one podcast and a second information relating to at least one guest, where the first information contains profile information regarding a podcast and the second information contains profile information regarding a prospective guest of the podcast; comparing the first information with the second information; generating results of a comparison of the first and second information that relates to a specific user; and connecting a specific podcast to a specific guest based on the results of the comparison.

Method and server for managing placement of a digital signage content based on metric thresholds. The server stores parameters associated to a plurality of locations. The parameters for each location comprise at least one metric and a corresponding threshold for each metric. The server determines a plurality of candidate locations among the plurality of locations for displaying the content. For each candidate location, the server processes the at least one metric and corresponding threshold of the candidate location to determine if each metric among the at least one metric is within the corresponding threshold. The server identifies one or more target location among the plurality of candidate locations for displaying the content. Each metric among the at least one metric of the one or more target location is within the corresponding threshold. The locations may include digital signage players, geographical areas, displays controlled by a player.

An information processing device has a communication unit and a control unit. The communication unit exchanges information with a terminal device. The control unit controls the communication unit in such a manner as to transmit, to the terminal device, an advertisement associated with a composition category to which a composition of occupants in the moving object based on occupant composition information belongs, when receiving the occupant composition information from the terminal device. The occupant composition information regards the composition of the occupants in the moving object.

A monitoring system that includes at least one virtual boundary and assigns persons or mobile devices crossing into the virtual boundary a identifier. The identifier is then monitored for further crossing into and out of the virtual boundary and a categorization is developed based on the frequency, time passage, and other variables. The categorization will generally associate the identifier as an employee, a patient, or a visitor. In addition, the categorization step further includes sub-categorizing types of patients and employees. A monitoring circuit is provided that that generates recommendations related to organization, scheduling, and facility layout configurations, market share opportunities, staffing, hours of operation, quality benchmarks can be provided.

A method for celebrity-based advertising includes storing, in a server, a likeness of subject and a corresponding booking that includes parameters outlining availability of the subject for digital advertising. The method further includes receiving or creating, by the server, a pitch that falls within the parameters of the booking, the pitch corresponding to the subject. The method further includes receiving, by the server and from a first user device, a first image of the likeness of the subject or another likeness of the subject. The method further includes determining, by the server, that the image matches the likeness of the subject. The method further includes transmitting, by the server, the pitch to the first user device to be output by the first user device.

A method, which comprises determining a logical identifier used for communication over a network portion managed by a service provider and transmitting to a computing apparatus adapted to effect online transactions involving a payer and a payee an indication of the service provider having agreed to act as the payer for at least one online transaction requested by a requesting device that uses the logical identifier. Also, a method, which comprises determining a logical identifier used to identify a device during a request for an online transaction; identifying, based on the logical identifier, a third party that has agreed to act as a payer for the online transaction; providing a user of the device with an opportunity to confirm the third party as the payer for the online transaction; and completing the online transaction based on input from the user.

The invention provides an improved algorithm for selecting paid advertisements for inclusion with search engine results or with any resource retrieved from the Internet. The algorithm collects personalized data of each user and feeds the collected personalized data into search queries of search engines, to retrieve paid advertisements. The advertisements are retrieved based not only on search keywords input by the user, but also based on personal preferences, interests and demographics of the user, as well as the location of the user and the time when the search is performed. In other words, the inventive technology enables each user to receive very targeted, localized and personalized advertising materials.

A media distribution system includes an enterprise hub, which in turn includes a processor and memory, multiple media outlets, and multiple integrated services layers (ISLs) acting as intermediaries between the enterprise hub to the media outlets. A first media outlet is served by a single ISL, while a second media outlet is served redundantly by at least two ISLs.

Systems and methods are presented for managing the cadence (e.g., frequency or rate) that electronic promotion correspondence is sent to a consumer. A system may access a target cadence indicator associated with a consumer that indicates of a target rate for sending electronic promotion correspondence to the consumer. The system may also determine an actual cadence indicator for the consumer over a predetermined period of time and analyze a potential electronic promotion correspondence for sending to the consumer. The system determines whether to send the electronic correspondence to the consumer based on the target cadence indicator, the actual cadence indicator, and the analysis of the electronic promotion correspondence.