A method of selecting and presenting content on a first system based on user preferences learned on a second system is provided. The method includes receiving a user's input for identifying items of the second content system and, in response thereto, presenting a subset of items of the second content system and receiving the user's selection actions thereof. The method includes analyzing the selected items to learn the user's content preferences for the content of the second content system and determining a relationship between the content of the first and second content systems to determine preferences relevant to items of the first content system. The method includes, in response subsequent user input for items of the first content system, selecting and ordering a collection of items of the first content system based on the user's learned content preferences determined to be relevant to the items of the first content system.

Systems, methods, and apparatus, including computer program products, for configuring online properties, such as content pages of a website, through an online user interface. A system generates the online user interface and receives, over a network and through the online user interface presented by a client device, a request to insert a restricted third party file into a user's online property. The online user interface is updated to inform the user that inclusion of the third party file in the user's online property is restricted and to provide the user with options for satisfying requirements for including the third party file in the user's online property. In response to detecting a user selection of at least one of the options, the restricted third party file is received from a content repository, and is inserted into the user's online property.

Inactive areas of interest to a merchant delivery service may be identified and customers within those areas may be utilized to recruit eligible merchants to participate with a merchant delivery service so that the merchant delivery service can deliver customer ordered products on behalf of participating merchants to the customers within the area. In some implementations, the merchant delivery service may provide incentives to customer to incent the customers to recruit eligible merchants to participate with the merchant delivery service. Likewise, incentives may be provided to merchants to incent merchants to participate in the merchant delivery service. When an eligible merchant becomes a participating merchant, the merchant delivery service provides a reward to the customers that recruited the merchant.

A network system, such as a transport management system, efficiently allocates resources by monitoring the geospatial and topological locations of a rider responsive to receiving a trip request. A trip management module matches a rider with an available driver based in part on an comparison of the estimated times of arrival of the rider and the driver at the pickup location. A client positioning module monitors the rider's progress through nodes and edges in a topological graph associated with the origin location based on radio signatures received at the rider client device. A client ETA module calculates a rider ETA based on the rider's rate of travel through the origin location represented by nodes in the topological graph. Responsive to determining that the rider ETA and the driver ETA vary by over a threshold amount of time, the trip management module matches the rider with a second available driver.

Provided is a device comprising an attribute database connecting section connected to an attribute database for storing a plurality of attribute values corresponding to a plurality of attributes, for each of a plurality of target people; a recommendation determining section that, for a first target person, determines whether to recommend at least one of a product and a service, based on at least one of the plurality of attribute values; a recommendation method determining section that determines a recommendation method for recommending a product or the like to the first target person; a recommendation result acquiring section that acquires a recommendation result for the first target person; a recommendation result storage section that stores the recommendation result in association with at least some attributes; and a recommendation model generating section that generates a recommendation model for selecting the recommendation method, using the attribute database.

Provided is a device including an attribute database connecting section connected to an attribute database for storing a plurality of attribute values corresponding to a plurality of attributes, for each of a plurality of target people; an attribute prediction model generating section that, using the attribute database, generates a first plurality of attribute prediction models that are each for predicting an attribute value of a first prediction target attribute that is a prediction target, based on an attribute value of at least one attribute other than the first prediction target attribute among the plurality of attributes; and an attribute prediction model selecting section that selects a first attribute prediction model to be used to predict the attribute value of the first prediction target attribute, based on a prediction error of each of the first plurality of attribute prediction models.

A path optimization computer to enable recommendations of different types of entities (for example, flights, hotels, and travel budgets) based on dynamic data to different groups of user devices when optimizing a path based on a plurality of geolocations. Entity designators directly adjust the relative weights in variables of entities when optimization is computed, and then assigning that configuration, as a parameter package, to a group of user devices whereby manager devices can promote appropriate options for user devices based on established thresholds. Thresholds may change dynamically from request to request based on information received from external resources and availability, and from group to group.

Systems, methods, and storage media for operating a consumer feedback incentive system are disclosed. Exemplary implementations may: transmit one or more incentive offers to one or more computing devices associated with one or more consumers; receive real-time survey feedback data from the one or more computing devices associated with the one or more consumers; provide a merchant analytics platform to a merchant associated with the one or more incentive offers, the merchant analytics platform comprising a user interface, wherein the user interface of the merchant analytics platform comprises a plurality of analytics display sections; and receive, via a user interface, one or more comparative representations organized according to selections made by the merchant.

A card for distributing media including any one or all of music, videos and movies said card include a main card body formed of two covers that snap or nestle together about its perimeter. One or more chips are nestled internally within the main card body and are configured to transmit information. A USB male connector is configured to pivot relative to the main card body so as to operate between a retracted position and an extended position. The USB male connector is coupled to a dongle configured to pivot about an axis relative to the main card body. The USB male connector includes executable instructions to communicate with a remote third party notifying the time and location of access to stored information.

Techniques are disclosed utilizing cognitive computing to assess customer value and provide specific promotional campaigns based upon this assessed value. Users may opt in to a rewards program. With user permission or affirmative consent, user behavioral data may be monitored that may be relevant to the user's relationship as a customer with a particular business and may include various indications of the users' behaviors, actions, and/or preferences. This data may be stored as part of each user's behavioral profile, the contents of which may be analyzed to determine which customers are more profitable to the business than others. Each user may be assigned a customer value indicative of his or her individual profitability, which may be used to provide specific promotional campaigns in an attempt to maintain the more profitable customers and to improve the profitability of others.