A method for providing a time exchange for establishing a sales pitch meeting between a salesperson and a consumer or group of consumers is described. A matching engine is utilized to best match a salesperson with a consumer that is considered to be available and willing to attend the sales pitch meeting. Salespersons bid on consumers' time on an exchange. Via an Algorithm Marketplace, consumers may trade their time on one or more exchanges. The giver of the sales pitch meeting can offer incentives to encourage consumers to attend the sales pitch meeting.

Disclosed herein are systems, methods, and apparatuses for upselling customers on mobile device services and hardware. In one embodiment, the method comprises creating a catalog associated with a mobile device; recording data associated with the mobile device and storing the data in the catalog; creating a profile associated with the mobile device based on the catalog; comparing the profile to one or more peer profiles to determine if at least one new item can be offered to a user of the mobile device; identifying one or more new items to offer to the user of the mobile device; and transmitting an offer to the mobile device, the offer including the one or more new items.

In general, embodiments of the present invention provide systems, methods and computer readable media configured to use a per-set level optimization of the rank order of promotions to be recommended to a consumer. In some embodiments, machine learning is used offline to generate a predictive diversity model that receives one or more similarity rank features associated with a promotion (e.g., category, price band) as input, and produces an output multiplier to be applied to the promotion's respective associated relevance score (e.g., a relevance score representing a prediction of the promotion's conversion rate without diversity features). At run time, per-set optimization of the ordering of a set of promotions is implemented by adjusting the respective associated relevance scores of the promotions using the diversity model and then re-ordering the set of promotions based on their respective adjusted relevance scores.

Systems, methods, and computer program products for predicting user preference of items in an image process image data associated with a single image with a first branch of a neural network to produce an image embedding, the single image including a set of multiple items; process a user identifier of a user with a second branch of the neural network to produce a user embedding; concatenate the image embedding with the user embedding to produce a concatenated embedding; process the concatenated embedding with the neural network to produce a joint embedding; and generate a user preference score for the set of multiple items from the neural network based on the joint embedding, the user preference score including a prediction of whether the user prefers the set of multiple items.

Systems and methods for analyzing vehicle occupant data to improve the driving experience are provided. According to certain aspects, image sensor data of a vehicle occupant may be used to determine the emotional state of the vehicle occupant which may be used by businesses in proximity to the vehicle to effectively advertise to the vehicle occupant. An electronic device may be used to display the advertisement of a business in proximity to the vehicle.

A method for seamlessly and automatically granting tailored permission for use and transference of internet data between databases with comprehensive consent is described. The method employs a graph language such as JSON-LD to integrate and employ cryptographically signed Information Sharing Agreements (ISA) between parties. Data is serialized to be easily transferred between databases when appropriate permission is obtained. Granular data exchange under usage control contacts can be automated among any number of parties on the internet. As such, the method provides a means by which users may control not only what may be done with their data, but to what entity or entities the data may be transferred. Advertisements may then be served to the user according to his or her preferences as defined within a web or desktop app, which is then applied to all related ad publishers publishing to the domains visited by the user.

Methods and apparatus for delivering content to an audience member via one or more mediums based on an audience member profile are disclosed. Profile data for audience members may be initially collected from an offline source, such as a registration or subscription database. The profile data may be stored in a dedicated database. The initial profile data may be supplemented periodically with data reflecting online activity by the audience member. The combined offline and online profile data may be used to group the audience members into segments. Audience member segments may be used to identify audience members who are targeted to receive like content. An audience member's inclusion in a segment may be indicated by storing a segment-targeting cookie on the audience member computer. Content may be delivered to the audience member based on identification of the segment in the segment-targeting cookie.

A computer-implemented method for controlling content distribution includes forwarding information associated with a user to a device operated by the user, the information being configured for use in selecting content from any of multiple content providers for a content distribution to the user. The method includes receiving, in response to the information, an edit of the information forwarded from the device. The edit identifies a first content provider and including a first modification of the content distribution regarding the first content provider. The method includes storing the edit in association with the information such that the first modification is taken into account in the content distribution. The method can be implemented using a computer program product tangibly embodied in a computer-readable storage medium.

First information associated with a first anonymous user, which indicates activities related to interactions of the first user with a first website, is obtained using a cookie. Second information associated with a second anonymous user, which indicates activities related to interactions of the second user with a second website, is obtained using a cookie. The first information and the second information are correlated to determine commonalities between the first information and the second information. In response to identifying at least one commonality, the first user identifier is associated with the second user identifier, and the first information is aggregated with the second information, based on the association. The aggregated information is stored in a profile associated with a single user, who is classified based on the aggregated information. The user, who may still be anonymous, is provided content based on the aggregated information.

A system and a method for controlling an electronic device embedded in a package of a consumer product are disclosed. In one aspect, the consumer product packaging includes a bottle for a beverage, a memory, a receiver and a circuit. The memory stores an action to be performed in response to an input. The receiver receives the input indicative of movement of the bottle. The circuit retrieves the action stored in memory upon receipt of the input and command an electronic communication module to perform the action at a particular time or in a particular sequence.