Abstract: A device and method, as disclosed herein, are operable to receive reference data during an in-process period that occurs while an advertising campaign is implemented based on purchase data. The reference data includes first reference data arranged in accordance with a first data organization. The reference data also includes second reference data arranged in accordance with a second data organization that differs from the first data organization. The purchase data includes an actual rate related to one or more ad placements. During the in-process period, with respect to the at least one ad placements, the device and method are operable to determine a plurality of metrics related to the one or more ad placement. The metrics depend at least partially on the reference data. Also, during the in-process period, the device and method are operable to determine a target rate related to the one or more ad placements. The target rate depends at least partially on a plurality of the metrics.

Abstract: A method of delivering advertising items to a client at a portable device is provided. A client ID is sent to a host server. A downloaded advertising item is produced relative to a product or service from the host server. The downloaded advertising item is parsed and stored. In response to the parsing and storing, displaying the advertising item is displayed to the client at the mobile device.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: Arrangements for detecting anomalies and dynamically generating a response are presented. In some examples, attribute data including a plurality of source elements may be received. The source element data may be received from a plurality of source computing systems. The attribute data, including the source element data, may be analyzed using machine learning techniques to identify any anomalies in the attribute data. If an anomaly is detected, a notification may be generated including data associated with the anomaly, a user associated with the anomaly and the like. The notification may be transmitted to a computing device for display. In some examples, if an anomaly is detected, data associated with the anomaly may be compared to pre-stored rules to determine whether a pre-stored rule applies to the identified anomaly. If a pre-stored rule applies, an instruction or command may be generated and transmitted to one or more source computing devices or systems.

Abstract: Methods and systems herein may help to provide an advertisement marketplace for advertisements that are valued according to gaze data from wearable computing devices.

Abstract: A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

Abstract: A method comprising receiving, by a payment service system (PSS), a first biometric dataset produced by a wearable device of a user having a user account with the PSS associated with a respective wellness profile; training a machine learning model that uses as input user behavior and outputs a reward offer associated with behavior that improves a wellness score; determining, using the model, the reward offer for the user with a merchant; presenting the reward offer, wherein activation of the reward offer causes an association with the user account; receiving, from the mobile device, an indication that the user has activated the reward offer via a transaction with the merchant; obtaining a second biometric dataset at a time that is based on activation of the reward offer; and updating the user's wellness profile based on a comparison of the two biometric datasets.

Abstract: A computer-implemented method includes generating, using a transaction management computing subsystem of an advertising platform, a set of primary bid requests responsive to receipt of an advertising call. Each primary bid request includes information sufficient to characterize an impression consumer and information sufficient to characterize each of one or more impressions identified in the advertising call. The method also includes sending the set of primary bid requests from the transaction management computing subsystem to a first set of decisioning computing subsystems of the advertising platform. Each decisioning computing subsystem of the first set being operable to generate a bid response based on the information included in a primary bid request.

Abstract: A digital promotion processing system may include a shopper device associated with a given shopper, and a promotion processing server. The server may obtain product purchase data associated with the given shopper, and generate digital promotions based upon the product purchase data, each of the plurality of digital promotions being redeemable for a corresponding product for purchase. The server may also cooperate with the shopper device to display at least two of the digital promotions as a single combined digital promotion for corresponding complementary products for purchase and having associated therewith a single input for clipping the single combined digital promotion to a digital wallet. The server may also cooperate with the shopper device to display at least one other of the digital promotions and with an associated input for clipping of the corresponding digital promotion to the digital wallet associated with the given shopper.

Abstract: Methods and systems for managing loyalty programs using a decentralized blockchain are provided. Transactions between users and a merchant are monitored via an application programming interface (API) of a service provider. Based on the monitoring, it may be determined that at least one of the users has satisfied reward criteria for a loyalty program associated with the merchant. The loyalty program includes a plurality of tokens to be distributed to users who satisfy the reward criteria configured by the merchant via a merchant interface. At least one token from among the plurality of tokens may be selected for the user, based on at least one smart contract associated with the merchant. The smart contract is stored on the blockchain in association with a unique identifier for the merchant. A transaction is broadcasted to the decentralized blockchain for transferring the at least one token to a digital wallet of the user.

Abstract: At least some aspects of the present disclosure feature systems and methods for delivering content to a mobile device. In one embodiment, the system receives location information of the mobile device and determines a response duration. The system selects a content piece to deliver to the mobile device based on information regarding content comparisons or experimental units.

Abstract: Methods, apparatus, and processor-readable storage media for automatically predicting transaction likelihood information and transaction-related temporal information using machine learning techniques are provided herein.

Abstract: Various examples are directed to computer-implemented systems and methods for providing a unique market offer code and validation. A method includes generating an offer customized for an intended recipient, and sending the offer electronically to the intended recipient. The method further includes receiving a user selection of the offer, and displaying a landing web page on a graphical user interface (GUI) of a user device. A user selection of an action button on the landing web page is received, and a validation web page is displayed on the GUI, the validation web page including prompts for input of user information. The user information is evaluated to determine authenticity of the offer and to confirm identity of the user as the intended recipient. Upon determining that the user is not approved for the offer, access is provided to the user to an additional offer tailored to the user.

Abstract: A processor training a reinforcement learning model can include receiving a first dataset representing an observable state in reinforcement learning to train a machine to perform an action. The processor receives a second dataset. Using the second dataset, the processor trains a machine learning classifier to make a prediction about an entity related to the action. The processor extracts an embedding from the trained machine learning classifier, and augments the observable state with the embedding to create an augmented state. Based on the augmented state, the processor trains a reinforcement learning model to learn a policy for performing the action, the policy including a mapping from state space to action space.

Abstract: An electronic apparatus includes a microphone, a speaker, a memory, and a processor. The processor obtains a product keyword from a text converted from a user voice that is input through the microphone, identify a product category related to the product keyword; determine whether to provide an advertisement related to the user voice based on an interest level of the user according to utterance history information and an advertisement fatigue level of the user; and based on a determination to provide the advertisement, obtain advertisement information based on a target product category identified according to the interest level of the user, and control the speaker to output an advertisement voice based on the advertisement information.

Abstract: The present invention relates to a driving method of a block chain-based health data management system.

Abstract: This disclosure describes, in part, systems for enabling facilities to customize the layouts of items located within the facilities. For instance, an entity may be associated with multiple facilities. The facilities may be located at various geographic locations, include various retail layouts/sizes, sell various items, and/or the like. As such, it may be difficult to generate planograms that can be used by more than one of the facilities. Therefore, for different facilities, the entity may determine (1) locations of inventory locations within the facilities, (2) categories of items to include at the inventory locations, (3) identifiers of items associated with the categories, (4) quantities of items to include at the inventory locations, and/or the like. The facilities can then use these determinations to determine the actual items, as well as the locations for the actual items, at the inventory locations.

Abstract: The present invention generally relates to a system, method, and computer program for providing coupons and cash back in electronic commerce. Specifically, electronic coupon code(s) are tested against various retailer websites to ascertain the best combination and automatically applied into a user's cart during electronic checkout. Various embodiments of the present invention also provide the user-less tracking of an affiliate purchase in order to apportion user cash back without first requiring the creation of a user account.

Abstract: The present invention generally relates to a system, method, and computer program for providing coupons and cash back in electronic commerce. Specifically, electronic coupon code(s) are tested against various retailer websites to ascertain the best combination and automatically applied into a user's cart during electronic checkout. Various embodiments of the present invention also provide the user-less tracking of an affiliate purchase in order to apportion user cash back without first requiring the creation of a user account.