Techniques described herein provide for a live advertising processing engine service to act as an intermediary between client applications and advertising networks. The live advertising processing engine service can provide an interface with which the client can interact, via an application programming interface (API) or directly through the use of a standardized language, thereby allowing client applications to receive advertisement data without the need to be customized to communicate with specific advertising networks. The live advertising processing engine service can further track where, in playback the live content, a client currently is, to indicate to the clientor other applicationwhen advertisement breaks are and/or provide supplemental advertisement information to enable the client to provide a rich user experience.

A method includes sending verification information from a mobile communication device to a second device. The method includes receiving, at the mobile communication device from the second device responsive to sending the verification information, an announcement. The announcement includes purchase information for a first item that is available for purchase via a website. The method includes, after receipt of the announcement, receiving a message at the mobile communication device from the second device for presentation to a user of the mobile communication device. The method also includes, during presentation of the message and responsive to a change in a particular condition associated with the purchase information, receiving updated purchase information for the first item from the second device and changing from presentation of the message to presentation of the updated purchase information for the first item.

Provided is an information distribution apparatus which effectively distributes information such as advertisements. An advertisement distribution system predicts seat conditions such as a change in seat occupancy rate with time and distributes advertising information to prospective customers who can visit around the time when the seats are available. By offering more advantageous discount rates, coupons and the like to prospective customers with a short traveling time to a store in a case where seats are already available, it is possible to quickly occupy the seats and recover the seat occupancy rate in a short period of time. On the other hand, a disadvantageous offer is made to prospective customers who arrive after the time when empty seats are predicted since they do not contribute much to the recovery of the seat occupancy rate.

Provided is a display control mechanism for improving functionality of a handheld mobile device including an operating system (OS). The display control mechanism includes a content delivery system (CDS) configured to create an advertising (ad) message, the add message being represented by templates formatted into a plurality of portions. A first template portion includes instructions directing how to render the ad message to interact with the mobile device based upon capabilities of the device, a second template portion includes instructions directing what to render as content of the ad message based upon the device capabilities, and a third template portion includes data for use in rendering the ad message. A content message layer manipulates the OS and the device capabilities, and includes one or more application programming interfaces (APIs) configured to receive, store, and render messages sent by CDS.

The present disclosure provides a computer-implemented method and system for progressive penalty and reward based ad scoring for real time supervised detection of televised video ads in televised media content. The method includes reception of the media content and selection of a set of frames per second from the media content. The method includes extraction of key points from each selected frame and derivation of binary descriptors from extracted key points. The method includes assignment of weight value to each binary descriptor and creation of a special pyramid of the binary descriptors. The method includes obtaining a first vocabulary of binary descriptors for each selected frame and accessing a second vocabulary of binary descriptors. The method includes comparison of each binary descriptor in the first vocabulary with binary descriptors in second vocabulary. The method includes progressively scoring each selected frame of the media content for detection of a first ad.

A system and method include a customer engagement platform of an enterprise. The customer engagement platform is configured to connect with an audience computer and provide to the audience computer contact information associated with a marketing attribution. The marketing attribution accompanies an impression served to the audience computer. The impression and marketing attribution associated with the contact information are sent to the customer engagement platform during an interaction with the enterprise.

Techniques for controlling resource usage in a computing environment are provided. In one technique, a target resource usage for a particular point in time is determined for a content delivery campaign. Determining, for the content delivery campaign, a current resource usage for the particular point in time. Also, a bandwidth associated with the target resource usage at the particular point in time is determined. Based on a difference between the current resource usage and one or more boundaries of the bandwidth, a throttling factor is calculated. Based on the throttling factor, a probability of the content delivery campaign participating in a content item selection event is determined.

In one embodiment, a promotional subsystem generates promotional plans that include promotionals, where each promotional targets one or more pieces of scheduled content. First, the promotional subsystem generates a statistical model based on historical respondent viewership data. The statistical model model maps a respondent viewing of a promotional that targets a piece of scheduled content to a probability of the respondent viewing the piece of scheduled content. Subsequently, the promotional subsystem generates a proposed promotional plan based on the statistical model, a schedule that includes the piece of scheduled content, and a risk tolerance. Advantageously, the promotional subsystem may be configured to generate different proposed promotional plans based on different risk tolerances associated with different viewership growth strategies. Automatically generating proposed promotional plans based on probabilities reduces the time required to identify an acceptable promotional plan compared to current techniques that generate a single promotional plan based on deterministic strategies.

Techniques and systems are disclosed for forwarding a limited number of vendor messages during a consumer mobile device campaign, such as a CSC campaign. Opt-in events are received from an aggregator's message service platform for a consumer mobile device (e.g., smart-phone), and a time interval is identified for the campaign that comprises a duration for the campaign. Campaign parameters are identified, where the parameters comprise a desired number of campaign messages for the opted-in consumer mobile device. Vendors are grouped into one or more campaign message categories (e.g., by service or products), and a bidding frequency is identified for campaign message categories for the campaign duration. Bids are received for message slots at the bidding frequency for a campaign message category, a desired bid is selected if it meets a threshold, and the corresponding vendor message is sent to the opted-in phone(s).

The current invention relates to a computer-generated method for optimizing placement of advertising content to consumers' TV's using a programmatic TV bidding model. 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.