Data relevant to a predefined data object of a set of predefined data objects can be extracted from a unit of date received at a recurring revenue management system. The extracted relevant data can be populated to an instance of the predefined data object. One or more relationships between the instance of the predefined data object and at least one other instance of the predefined data object or a second predefined data object. The defining occurs based on a set of parameters associated with the predefined data object and content of the extracted data. An opportunity can be generated for a sale or renewal of a recurring revenue asset based at least in part on the one or more relationships, and the generated opportunity can be presented to a user. Related methods, systems, and computer program products are also described.

A wireless device is enabled to provide offers. The wireless device receives card data for a financial account card and stores the card data in a memory associated with the wireless device. Responsive to using the card data in a transaction at a first merchant location, the wireless device receives transaction line-item data from a computing system associated with the first merchant location. The wireless device determines merchant information for a second merchant location and determines an offer associated with the second merchant location based on the line-item data and the merchant information for the second merchant. The wireless device presents the offer when the wireless device is near the second merchant location.

Various techniques are described herein for providing ticketing reservation and purchasing functionality for enabling and/or facilitating users in performing activities/operations relating to group ticket reservations and/or automated conditional ticket purchases for various types of events which are scheduled to occur at one or more different venues.

Techniques for providing items recommendations based on a state of a merchant device are described. For example, a determination of whether or not a merchant device is in an online mode or an offline mode may be made. When it is determined that the merchant device is in the online mode, a recommendation that is received for the current transaction may be presented. When it is determined that the merchant device is in the offline mode, a recommendation that is previously received may be presented. In other examples, other types of recommendations may be presented.

A computerized information and display apparatus useful for providing information to a user via a display. In one embodiment, the apparatus comprises a processor apparatus, touch screen input and display device, and speech input apparatus, and at least one computer program configured to run on the processor apparatus, the at least one program being configured to enable an user to intuitively operate the apparatus to rapidly converge on a desired organization or entity which they wish to locate, via speech input of only a name or a part of a name. The information and display apparatus is particularly useful in time-pressured mobile transport vehicle environments, and when the user is unfamiliar with the operation of the apparatus.

A prediction data input unit 91 inputs prediction data that is one or more explanatory variables that are information likely to affect future sales. An exposure pattern generation unit 92 generates an exposure pattern which is an explanatory variable indicating the content of a commercial message scheduled to be performed during a period from predicted time to future prediction target time. A component determination unit 93 determines the component used for predicting the sales, on the basis of a hierarchical latent structure that is a structure in which latent variables are represented by a tree structure and components representing probability models are located at nodes of a lowest level of the tree structure, gating functions for determining a branch direction in the nodes of the hierarchical latent structure, and the prediction data and the exposure pattern. A sales prediction unit 94 predicts the sales on the basis of the component determined by the component determination unit 93 and of the prediction data and the exposure pattern.

The current invention relates to a computer-generated method for optimizing placement of advertising content across multiple different devices. The system permits targeting of advertising content to consumers on TV and mobile devices that can be operated from within a multi-channel video programming distributor's environment. The system is able to use hard and soft constraints to come up with a number of possible targets for an advertising campaign and can then provide tools for optimizing those targets. 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 a user can adjust various constraints and optimize a distributor's revenue yield from advertising.

A computerized information apparatus useful for providing information to a user via a display. In one embodiment, the apparatus comprises a processor apparatus, and first wireless interface, radio frequency apparatus, and at least one computer program configured to run on the processor apparatus, the at least one program being configured to enable functions within a transport device including remote control of environment functions (e.g., HVAC, lighting, imagery capture) based on authentication of a user carrying a portable radio frequency device.

A computerized information apparatus useful for providing information to a user via a display. In one embodiment, the apparatus comprises a processor apparatus, and speech input apparatus, touch screen input and display apparatus, and at least one computer program configured to run on the processor apparatus, the at least one program being configured to provide a user with contextually relevant content without an affirmative request for such content, but rather based on context divined from one or more free form words spoken by the user, whether while searching for information or otherwise. In one variant, the context determination is performed by a remote networked server after having been provided digitized speech samples via wireless interface. In another variant, the context is determined based on soft function key inputs from the user while requesting information. A virtual database structure enabling rapid context determination is also disclosed.

An online system selects content items for a user to increase probabilities of the user remembering the content items after presentation. The online system generates one or more models based on information describing amounts of time users have viewed previously presented content items. Hence, a model associated with a user predicts an amount of time the user will view a content item. When selecting content items for the user, the online system selects one or more content items that the user is predicted to view for an amount of time within a specific range, which may be based on amounts of times other users have viewed the content item or content items similar to the content item. For example, the online system increases a probability of selecting a content item the user is predicted to view for an amount of time within the specific range.