Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.

A system and method are provided for grouping customers from a pool of customers of a financial institution to subsequently receive advertisements. The method includes: retrieving, by a data collection module, identifier data of each customer in the pool of customers; retrieving, by the data collection module, financial information of each customer in the pool of customers based on the identifier data; determining, by an affordability condition determination module and for each customer, an affordability condition based on the financial information; determining, by a price parameter determination module, a price parameter for each advertisement; comparing, by an advertisement comparison module and for each advertisement, the price parameter against the affordability condition of each customer; and allocating, by a customer allocation module and for each advertisement, customers into a group of customers to subsequently receive the advertisement, if the price parameter satisfies the affordability conditions of the customers.

An information presentation system includes discrimination information transmission devices, a mobile terminal, and an information provision device and a provision side storage unit that mutually associates and stores terminal discrimination information of the mobile terminal that is the transmission destination of a transmitted target information signal, information for identifying target information included in the transmitted target information signal, information for identifying a target facility related to the target information, and transmission device discrimination information of the discrimination information transmission devices provided in the target facility, a provision side communication unit that receives a terminal side signal transmitted from a terminal side communication unit of the mobile terminal, and a provision side decision unit that decides whether the target information included in the transmitted target information signal is used by a user of the mobile terminal based on the transmission device discrimination information and the terminal discrimination information included in the terminal side signal received by the provision side communication unit and the information stored by the provision side storage unit.

The disclosed tools include enhanced and flexible tools to enable users who may be business competitors to share non-generic data in a substantially generic and in a substantially equitable manner. The resulting incentive to more freely share data between competitors will benefit users such as brand owners and enhance content delivered to their end users based on shared data.

An online content management system determines a new account configuration to offer to a user, including the price and/or size of a user's quota of storage space in an account on the online content management system, based on usage characteristics of the account. An account management module tracks account usage. The account management module analyzes the account usage and applies a model to predict the willingness of the user to pay for a new account configuration. Responsive to the results of the prediction, the new account configuration is offered to the user. The user's feedback on the offered new account configuration is tracked. If the user accepts the offer, the user's account details are updated accordingly. If the user rejects the offer, this feedback may be added as input into future predictions of that user's willingness to pay for a new account configuration.

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.

A system receives a data chunk including account transaction metadata. The account transaction metadata is anonymized. Supplemental metadata is obtained based on the anonymized account transaction metadata, and the data chunk is annotated using the supplemental metadata. The annotated data chunk is filtered, the filtering removing information capable of identifying an account associated with the account transaction metadata. The filtered annotated data chunk is provided for analysis by a remote third-party system. A set of digital content items provided by the remote third-party system is received, the set of digital content items provided based on analysis of the filtered annotated data chunk. Context-specific digital content is assembled based on the received digital content and is provided for presentation by a remote client device. An operator of the remote client device may select digital content that is deemed relevant. The selection may be reported back to the originating system.

Methods and systems for determining an individual gaze value are disclosed herein. An exemplary method involves: (a) receiving gaze data for a first wearable computing device, wherein the gaze data is indicative of a wearer-view associated with the first wearable computing device, and wherein the first wearable computing device is associated with a first user-account; (b) analyzing the gaze data from the first wearable computing device to detect one or more occurrences of one or more advertisement spaces in the gaze data; (c) based at least in part on the one or more detected advertisement-space occurrences, determining an individual gaze value for the first user-account; and (d) sending a gaze-value indication, wherein the gaze-value indication indicates the individual gaze value for the first user-account.

Systems are disclosed for determining contextual segments for targeting contextual advertising in metaverses. The system can deploy an observer avatar in a metaverse to capture information inside a portion of a metaverse from behaviors and interactions of a target user avatar. The observer avatar can capture audio, video, images, and text perceived by the observer avatar in the area of the user avatar, along with metadata describing the captured information. Using the captured observations, the system can determine contextual segments classifying the portion of the metaverse. Using a library of the contextual segments, advertisers can distribute contextually targeted advertisements.

A system for improving distributed network data flow efficiency by using a machine learning model to engage a reduced set of unknown objects is disclosed. The system includes at least one processor, a communication interface communicatively coupled to the at least one processor, and a memory device storing executable code that, when executed causes the at least one processor to receive interaction data corresponding to interactions between known objects and unknown objects, develop an interaction map, develop a profile for each unknown object, process each unknown object using a machine learning algorithm to generate a reduced set of unknown objects most likely to reciprocate and identify properties of each unknown object, and trigger a communication to each of the reduced set of unknown objects.