A user device containing sensors is delivered customized services without utilizing private user data or while only using it in highly constrained ways. This is accomplished by sending one or more queries to the user device. Each query requests a binary response and each query inquires whether or not the user device has obtained one or more specified parameter values, or range of parameter values, from one or more sensors incorporated in or in communication with the user device. For each query a binary response is received, which indicates that the user device has or has not obtained the one or more specified parameter values, or the range of parameter values, about which the respective query is inquiring.

Systems, methods, computing platforms, and storage media for dynamically organizing autonomous storage units in a retail control territory are disclosed. Exemplary implementations may identify a plurality of autonomous storage units, wherein each autonomous storage unit is configured to hold one or more inventory items; identify an inventory level for each of the plurality of autonomous storage units; determine a first arrangement for the plurality of autonomous storage units based in part on one or more first factors; organize the plurality of storage units in the first arrangement; identify one or more second factors; determine a second arrangement for at least a portion of the plurality of autonomous storage units based on the one or more second factors; and direct the at least the portion of the plurality of autonomous storage units to organize in the second arrangement.

The system and method of the present invention provides customers with real-time information in order to evaluate future consumer spending capacity. The present invention can help to identify situations beyond traditional credit metrics to determine change of circumstances for end-consumers. The system allows for selection of consumers based on data trends and learned industry risk and behavior indicators.

Techniques for prioritizing images associated with an item to display an appropriate image based on a query are described herein. For example, an attention score for an item attribute in an image of an item may be generated based at least in part on a model that uses one or more images of the item. The item attribute for the item associated with a query may be obtained. A plurality of items may be determined based at least in part on the item attribute being associated with the plurality of items where an individual item of the plurality of items includes a plurality of images of the item. The plurality of images of the individual item may be ranked based at least in part on corresponding attention scores associated with each image of the plurality of images.

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for serving content to a user. A method includes: receiving a request for content from a user, the content to be displayed in a slot associated with an online resource; determining an expected activity score for the user based at least in part on one or more criteria associated with a context of presenting the online resource to the user; comparing the expected activity score for the user to a threshold; selecting one or more content items to serve to the user based at least in part on the comparison; and serving the selected content items to the user responsive to the request.

Provided herein are exemplary systems, methods and interactive conversational graphical user interfaces, including a networked computing device comprising a processor and a display screen, the computing device configured to dynamically display a specific, structured interactive conversational graphical user interface paired with a prescribed functionality directly related to the interactive conversational graphical user interface's structure. The networked computing device may be a networked server having a processor and communicatively coupled to the computing device, the networked server including a user identification mechanism to identify a user of the networked computing device. The networked server may further include a profile for the user and a sponsorship engine configured to send an advertising icon to the user.

Embodiments of the present disclosure include a platform for a resource provisioning system. The platform can execute big data analysis techniques to access-right data to generate statistics that characterize a set of users. For example, characteristics of users who access resources events can be analyzed with varying levels of detail. The access-right data can include access right assignments, and data identifying the users to which access rights are assigned. In some implementations, spatial management systems can access the platform to generate statistics for the resources.

Certain exemplary embodiments described herein relate to digital downloading jukebox systems of the type that typically include a central server and remote jukebox devices that communicate with the central server for royalty accounting and/or content updates. More particularly, certain exemplary embodiments relate to jukebox systems that have revenue-enhancing features such as for example, music recommendation engines and bartender loyalty programs. Such innovative techniques help to both increase per jukebox revenue as well as keep jukebox patrons engaged with the jukebox.

Methods and systems are described for providing advertising services to devices with a customized adaptive user experience based on adaptive algorithms. In one embodiment, a system includes a storage medium to store one or more software programs and an adaptive decision unit coupled to the storage medium. The adaptive decision unit includes or is coupled to processing logic that is configured to execute instructions of at least one adaptive decision algorithm to obtain data for different variables including at least two of an advertisement (ad) engagement history for a user, application (app) engagement history for the user, and in-app purchase engagement history for the user when making an ad selection decision. The at least one adaptive decision algorithm determines an ad selection decision for at least one relevant ad or ad content served in an engaging manner to a device of the user.

A social networking system provides content items to a user via a feed that may include one or more sponsored content items. Multiple sponsored content items may be included in a set that is presented in the feed via a scrollable content unit that presents a sponsored content item from the set and presents additional sponsored content items from the set when user interaction is received. To place sponsored content items in the feed, the social networking system scores a set of sponsored content items based on prior user interactions with content presented via scrollable content units and a bid amount of a sponsored content item in the set. The set of sponsored content items is ranked among other sponsored content items based on its score. If the set of sponsored content items is selected for inclusion in the feed, the social networking system orders the sponsored content items in the set for presentation via the scrollable content unit.