Abstract: In general, embodiments of the present invention provide for ranking data objects using machine learning and scoring to configure a graphical interface. In this regard, a machine learning model is applied to data object attributes to generate data object relevance scores for the candidate data objects. Additionally, a respective personalization score for the candidate data objects is generated based at least in part on a compounded ratio and a geometric mean of the compounded ratio. The data object relevance scores for the candidate data objects are modified based at least in part on the respective personalization score for the candidate data objects to generate modified object relevance scores for the candidate data objects. The candidate data objects are then ranked based at least in part on the modified object relevance scores to generate a ranked data object set and to facilitate configuration of a graphical interface.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: Embodiments are provided that improve persona tracking and use to improve the accuracy of determinations and actions that rely on such persona(s). Some example embodiments track user information associated with a profile. Example embodiments further generate personas associated with the profile based on the user information. Example embodiments further receive time data and/or location data from a user device. Example embodiments further determine a selected persona based on the time data and/or the location data. Example embodiments further determine a preference dimension value based on the selected persona. Example embodiments further identify promotion data representing a plurality of promotions. Example embodiments further, for each promotion, generate a first dimension score corresponding to the preference dimension value based on the selected persona. Example embodiments further determine a ranking for the promotions based on the first dimension score for each promotion.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: Techniques for providing consumer device interfaces are discussed herein. Some embodiments may include a system, including processing circuitry configured to: connect with a consumer device via a network; provide a search interface to the consumer device; receive one or more search parameters from the consumer device via the network; determine card scores for candidate cards based on the one or more search parameters, wherein each card includes an electronic marketing message indicating one or more items; determine a card score ranking based on the card scores; determine whether the consumer device is a mobile device; and in response to determining that the consumer device is a mobile device: determine mobile card layout; generate a mobile interface based on the mobile card layout; and provide one or more of the candidate cards to the mobile interface based on the card score ranking and the mobile card layout.

Abstract: Systems and related methods of providing promotional offers to consumers are discussed herein. Some embodiments may provide for an apparatus including circuitry configured to provide promotional offers to consumers based on dimensions representing criteria by which promotions may be deemed relevant to a consumer. Some examples of dimensions may include location, time, environment, price, and/or consumer preference. Based on receiving signals from the consumer device, among other sources, indicating associated times, locations, and other characteristics of consumer activity, the apparatus may recognize patterns or trends in consumer behavior, and use such information to predict or influence future consumer behavior.

Abstract: Techniques for providing consumer device interfaces are discussed herein. Some embodiments may include a system, including processing circuitry configured to: connect with a consumer device via a network; provide a search interface to the consumer device; receive one or more search parameters from the consumer device via the network; determine card scores for candidate cards based on the one or more search parameters, wherein each card includes an electronic marketing message indicating one or more items; determine a card score ranking based on the card scores; determine whether the consumer device is a mobile device; and in response to determining that the consumer device is a mobile device: determine mobile card layout; generate a mobile interface based on the mobile card layout; and provide one or more of the candidate cards to the mobile interface based on the card score ranking and the mobile card layout.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.

Abstract: Systems and related methods of providing promotional offers to consumers are discussed herein. Some embodiments may provide for an apparatus including circuitry configured to provide promotional offers to consumers based on dimensions representing criteria by which promotions may be deemed relevant to a consumer. Some examples of dimensions may include location, time, environment, price, and/or consumer preference. Based on receiving signals from the consumer device, among other sources, indicating associated times, locations, and other characteristics of consumer activity, the apparatus may recognize patterns or trends in consumer behavior, and use such information to predict or influence future consumer behavior.

Abstract: Delivering a page including a plurality of modules is disclosed. A plurality of candidate modules are selected. A corresponding module score for each of the modules in the plurality of candidate modules is evaluated. A plurality of modules is selected from the plurality of candidate modules to be displayed on a page. The position of each module on the page is based at least in part on that module's module score.

Abstract: Techniques for providing consumer device interfaces are discussed herein. Some embodiments may include a system, including processing circuitry configured to: connect with a consumer device via a network; provide a search interface to the consumer device; receive one or more search parameters form the consumer device via the network; determine card scores for candidate cards based on the one or more search parameters, wherein each card includes an electronic marketing message indicating one or more items; determine a card score ranking based on the card scores; determine whether the consumer device is a mobile device; and in response to determining that the consumer device is a mobile device: determine mobile card layout; generate a mobile interface based on the mobile card layout; and provide one or more of the candidate cards to the mobile interface based on the card score ranking and the mobile card layout.

Abstract: Providing information to a module is disclosed. A first query and one or more subject type concepts associated with the first query is received. A second query to be provided to the module based at least in part on the received first query and subject type concepts is determined. The second query is sent to the module.

Abstract: Delivering a page that includes a plurality of modules is disclosed. A query is received. Subject type concepts associated with the query are determined. Candidate modules that correspond to the associated concepts are found. A plurality of modules is selected from the candidate modules to be delivered on a page.