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.

According to at least one embodiment, a method for providing secondary content, related to primary content, for targeted transmission, includes: receiving a set of user metadata for a plurality of users, the user metadata comprising one or more of user browsing history, purchase history, term usage history, social media posts and actions, or location information; based on the set of user metadata, identifying, via a machine learning model, a subset of the users having an affinity for purchasing digital home-entertainment content, wherein the affinity is above a threshold level; and providing an indication of the subset of users having the affinity above the threshold level.

A method, system, and computer readable medium for automatically selecting target consumers and delivering business-initiated messages to the selected target consumers, as well as automatically selecting target businesses and delivering consumer-initiated messages to the selected target businesses. In particular, financial management applications used by the businesses and consumers are employed in targeting and delivering the business-initiated messages and consumer-initiated messages.

Techniques are described in which a service operates to identify consumers corresponding to visitor interactions with resources available from a service provider. Features are selected to use for matching of clickstream data collected for unknown visitors to profiles established for known visitor IDs. The features are selected based on analysis that accounts for consistency, completeness, and uniqueness of features among a corpus of profiles. Then, relevance scores are computed over the selected features using an information retrieval model in which clickstreams are treated as queries and profiles are treated as documents. Unknown visitors are matched to corresponding profiles using the relevance scores. Access to the digital media content is then controlled in accordance with the matching based on relevance scores, such as by serving individualized marketing offers and content to consumers that is targeted to characteristics of the consumers indicated by respective profiles.

A system for adjusting a relevance weight value for a content item is described. The system comprises a content delivery module configured to deliver a plurality of content items to a device via a network. The content items are displayed on the device. A content storage module is configured to store a relevance weight value and a location in association with each content item. A location detection module is configured to determine a location of the wireless device. A user provides a feedback input for a content item. The relevance weight value associated with the location and the content item is adjusted according to the feedback input provided.

A publicity-associated information processing device includes: an area setting unit configured to perform an area setting process of acquiring the number of subjects correlated with a section which is selected in a predetermined sequence on the basis of section subject number information correlated with the number of subjects to whom publicity is to be provided for each section acquired by dividing an area according to a predetermined division rule and setting an evaluation target area including the selected section in a stage in which an accumulated value of the acquired number of subjects satisfies predetermined area setting conditions.

An advertisement presentation system includes an output device provided on a mobile object, an information processing device, and a management device. The management device obtains advertisement information to be generated from the output device of the mobile object scheduled to travel via a particular location, based on related information in which attribute information of people and location information at which the people having the attributes are present are related to each other in advance, and sends the advertisement information to the information processing device. The information processing device receives the advertisement information from the management device, and outputs the advertisement information to the output device, when the mobile object is present at the particular location. The output device obtains the advertisement information from the information processing device, and outputs the advertisement information toward an outside of the mobile object, when the mobile object is present at the particular location.

A system for selecting one or more advertisement items to be presented to a user may include a computing device configured to obtain anchor item data including anchor item title data and anchor item metadata identifying characteristics of an anchor item. The computing device can also obtain advertisement item data including advertisement item title data and advertisement item metadata identifying characteristics of a plurality of advertisement items. The computing device can also determine a match score for each advertisement item of the plurality of advertisement items based on the anchor item data and the advertisement item data, wherein the match score identifies a relevance of the advertisement item to the anchor item. The computing device can then select one or more advertisement items based on the match score of each advertisement item.

Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.

Systems and methods directed to managing computer resource allocation by monitoring signals indicating demand for services utilizing computer resources are described. A method includes maintaining, for each first event of first events, historical registration data and respective parameter values of the first event and identifying, for a second event having an open registration status, respective parameter values of the second event, and registration data for the second event. The method includes computing a similarity score between the second event and each first event of the plurality of first events, based on the respective parameter values of the first event and the second event and the registration data of the second event and the historical registration data of the first event, generating, for the second event, a projected number of entities based on determined information and determining a ranking of the second event.