A wireless charger system for inductively charging a rechargeable battery of an implantable pulse generator (IPG) implanted in a human body is provided. A charging coil in the charger is wirelessly coupled to a receiving coil of the IPG to charge the rechargeable battery. An end-of-charge (EOC) circuit continuously monitors the reflected impedance from a reflected impedance sensor and determines the end of charge when a predetermined pattern of the reflected impedance corresponding to an EOC signal from the IPG is received. Advantageously, receiving the EOC signal through the charging coil eliminates the need to provide a separate communication circuit in the IPG that communicates with the charger.

Embodiments of the invention provide a method, system and computer program product for retail deployed CRM. A CRM method for retail environments includes sensing entry of a mobile device into a physical space and identifying a customer record for a customer in a CRM system associated with the detected mobile device. The method also includes thereafter detecting a proximity of the mobile device to a product stored in the physical space and creating an opportunity record in the CRM system in connection with the customer for the product. Finally, the method includes responding to sensing egress of the mobile device from the physical space, by marking the opportunity record as closed-won if the product has been purchased by the customer.

In some embodiments, a method generates combinations of ad campaign content and media program campaign content and ranks the combinations of ad campaign content and media program content. The ranking is based on ad campaign content being shown with the media program campaign content. The method selects one or more of the combinations of ad campaign content and media program campaign content based on the ranking. Then, display of the one or more of the combinations of ad campaign content and media program campaign content is caused where the one or more of the combinations of ad campaign content and media program campaign content include ad campaign content shown with media program campaign content in a same area of a display.

Provided is a computer-implemented method for predicting payment transactions using a machine learning technique that includes receiving transaction data, generating a categorical transaction model based on the transaction data, determining a plurality of prediction scores including determining, for one or more users, a prediction score in each merchant category of a plurality of merchant categories for each predetermined time segment of a plurality of predetermined time segments, where a respective prediction score includes a prediction of whether a user will conduct a payment transaction in a merchant category at a time associated with a predetermined time segment associated with the respective prediction score, determining a recommended merchant category and a recommended predetermined time segment of at least one offer, generating the at least one offer, and communicating the at least one offer to the one or more users. A system and computer program product are also disclosed.

The disclosure relates in some cases to a technology for selecting one or more promotions to be presented to online customers using Bayesian bandits and affinity-based dynamic user clustering In some embodiments, a computer-implemented method determines a set of offers is determined, and computes affinity scores measuring affinities of users to items included in the offers. The method builds an affinity score distribution for the offers and identifies clusters of affinity scores for the offers using the corresponding affinity score distribution.

This disclosure describes systems and methods for managing the reputation of a practitioner, such as a medical practitioner or another professional service provider, by requesting reviews after a procedure or other service has been provided. A targeted patient or client acquisition system leverages the strengthened reputation of the practitioner to acquire target patients. The targeted patient acquisition system identifies a target geographic region for targeted advertisement based on a weighted function of targeting factors for each of a plurality of geographic regions within a travel threshold of an office of the practitioner. A marketing management subsystem manages the electronic distribution of advertisements to individuals within the identified target geographic region. Calculated profitability metrics of new patients acquired via the targeted advertisements are used to adjust the target geographic region.

An information processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the instructions to: generate viewing data relating to viewing of a content to be output according to an output schedule; determine whether to change the output schedule, based on the viewing data of which a predetermined value relating to the generated viewing data does not satisfy a predetermined target value; and change the output schedule, based on a result of the determination, in such a way that a predetermined value relating to the viewing data satisfies the predetermined target value.

Systems and methods are disclosed to update ads on user devices that may connect to a network only intermittently by predicting and tracking various metrics associated with ads delivered to the user devices.

The present disclosure is directed toward systems and methods for identifying user segments. In particular, the systems and methods described herein evaluate user session logs to gather media content consumption history information associated with a plurality of users. Additionally, the systems and methods described herein analyze items of media content to identify keywords, genres, and other attributes, and further represent the items of media content as vectors. The systems and methods follow an algorithm to group items of media content into clusters and, based on the clusters of media content, further group users of media content into user clusters (e.g., user segments).

Provided are systems and a method for photorealistic real-time face reenactment. An example method includes receiving a target video including a target face and a source video including a source face. The method includes determining, based on the target face, a target facial expression. The method includes determining, based on the source face, a source facial expression. The method includes synthesizing, using the parametric face model, an output face. The output face including the target face wherein the target facial expression is modified to imitate the source facial expression. The method includes generating, based on a deep neural network, mouth and eyes regions, and combining the output face, the mouth, and eyes regions to generate a frame of an output video.