Abstract: Systems and methods described herein may include a memory and a computing a system in communication with said memory. The computing system may be configured to receive data from network management systems. In one embodiment, the network management system includes a network gateway. Users at venues may access external network resources using the network management system. Further, the network management systems may extract device identifiers from network packets sent from user devices to request access to external network resources. In some embodiments, the network management system may provide transmission control protocol handshake completion data to user devices. In some embodiments, the computing system also receives one or more attributes associated with the venue, user data associated with the user device, and connection data associated with communication between the user device and said external network resource.

Abstract: The following relates generally to voice assisted delivery of goods. In some embodiments, a digital assistant receives audio data, and determines an intent from the audio data. The digital assistant may then match the determined intent to a flow of a set of flows, where the set of flows may include at least one of: (i) requesting curbside pickup of an item, (ii) requesting locker storage of the item, (iii) requesting an indication of locations that the item is available, (iv) requesting an indication of an inventory of a retail store, (v) requesting ads for an additional item that is related to the item, (vi) requesting a status of an order for the item, (vii) requesting drone delivery of the item from a retail store to a residence, or (viii) requesting drone delivery of the item from a warehouse to the residence. The matched flow of the set of flows may then be executed.

Abstract: A method, apparatus, and system of using native and non-native events to control incentives in a computing environment is provided. A method includes: creating, by a processing circuit, a master account; creating, by the processing circuit, a subordinate account linked to the master account; receiving, by the processing circuit and from the master account, a first task and an associated incentive for the first task; detecting, by the processing circuit, a native or non-native event regarding the first task; and, implementing, by the processing circuit, an action corresponding to the associated incentive based on detecting the native or non-event regarding the first task. Detecting the native event includes receiving a message directly from a device linked to the processing circuit. Detecting a non-native event includes receiving an indication from a user device associated with the subordinate account.

Abstract: An information processing device includes a processor configured to provide an incentive to a first user who sells or returns a first vehicle in which a part of a first coating film including an easily peelable layer does not peeled off.

Abstract: Decentralized computer systems and methods are disclosed for establishing and conducting payment processing with loyalty points using distributed ledger. One method includes: receiving a consumer identification, an issuer identification, and transaction information from a point of sale system when the loyalty card is presented for a transaction of a good or service at a merchant, identifying the network node containing distributed ledger associated with the issuer according to received issuer identification prompting, to participants of the shared ledger, to validate whether the consumer distributed ledger has required loyalty points for the transaction; if all of the participants of the shared ledger accepts the transaction, generating, a new immutable entry to the distributed ledger for the transaction with remaining loyalty points in the loyalty card after deducting the points required for the transaction; and sending a transaction approved message to the point of sale system at the merchant.

Abstract: A recall and promotion processing system may include shopper devices, each associated with a corresponding shopper, and a recall-promotion processing server. The server may obtain historical purchase data associated with the shoppers, and determine whether a given recalled product was purchased by a given shopper based upon the historical purchase data. The server may, when the given recalled product was purchased by the given shopper, generate and communicate a recall notification and a digital promotion to the corresponding shopper device. The digital promotion may be redeemable toward a product for purchase based upon the given recalled product and may have a redeemable value associated therewith. The server may, when the given recalled product was purchased by the given shopper, obtain redemption data associated with the digital promotion for the shoppers, and adjust a subsequent redeemable value for a subsequent digital promotion based upon the redemption data.

Abstract: Systems and methods for targeted advertisements displayed on a vehicle. A dynamic advertising platform leverages various ridehail service modalities to present targeted advertisements to users and bystanders. The modalities can include ridehail applications, external vehicle screens, interior vehicle screens, and other in-car experience formats. The targeted advertisements can be selected based on various factors, which can be personalized based on the user as well as based on the advertising business's preferences.

Abstract: A method and apparatus for optimizing a recommendation system, a device and a computer storage medium are described, which relates to the technical field of deep learning and intelligent search in artificial intelligence. A specific implementation solution is: taking the recommendation system as an agent, a user as an environment, each recommended content of the recommendation system as an action of the agent, and a long-term behavioral revenue of the user as a reward of the environment; and optimizing to-be-optimized parameters in the recommendation system by reinforcement learning to maximize the reward of the environment. The present disclosure can effectively optimize long-term behavioral revenues of users.

Abstract: Notifying a user about relevant data for opportunities includes obtaining, from a database, opportunities, the opportunities representing a complex record structure in the database, in which each of the opportunities captures a number of fields of metadata, analyzing the metadata associated with the opportunities to identify patterns for the opportunities, identifying, based on the patterns, correlations for the opportunities, and notifying, based on the correlations, the user about relevant data for the opportunities.

Abstract: Machine-learning based multi-step engagement strategy modification is described. Rather than rely heavily on human involvement to manage content delivery over the course of a campaign, the described learning-based engagement system modifies a multi-step engagement strategy, originally created by an engagement-system user, by leveraging machine-learning models. In particular, these leveraged machine-learning models are trained using data describing user interactions with delivered content as those interactions occur over the course of the campaign. Initially, the learning-based engagement system obtains a multi-step engagement strategy created by an engagement-system user. As the multi-step engagement strategy is deployed, the learning-based engagement system randomly adjusts aspects of the sequence of deliveries for some users.

Abstract: A control apparatus includes a communication interface configured to transmit, to at least one bidding apparatus, range data indicating a geographical range through which at least one vehicle travels, and receive, from the at least one bidding apparatus, bidding data for bidding on an advertising slot associated with the geographical range indicated by the range data, and a controller configured to determine a bidder to whom the advertising slot is to be sold based on the bidding data received by the communication interface.

Abstract: A computer-readable medium that, when executed on a server, establishes processes for providing a brand sponsorship environment, the processes including providing a computer-implemented platform establishing a sponsorship junction involving, in case 1, a set of trigger-monitorable activities defined by a set of sponsoring brands or, in case 2, a subset of the trigger-monitorable activities defined by the set of sponsoring brands.

Abstract: Decentralized computer systems and methods are disclosed for establishing and conducting payment processing with loyalty points using distributed ledger. One method includes: receiving a consumer identification, an issuer identification, and transaction information from a point of sale system when the loyalty card is presented for a transaction of a good or service at a merchant, identifying the network node containing distributed ledger associated with the issuer according to received issuer identification prompting, to participants of the shared ledger, to validate whether the consumer distributed ledger has required loyalty points for the transaction; if all of the participants of the shared ledger accepts the transaction, generating, a new immutable entry to the distributed ledger for the transaction with remaining loyalty points in the loyalty card after deducting the points required for the transaction; and sending a transaction approved message to the point of sale system at the merchant.

Abstract: A method includes: receiving a query from a computing device accessed by a recipient; accessing an identifier, associated with an advertisement card, including a pointer to an electronic document associated with the advertisement card and a recipient code associated with the recipient; accessing a set of recipient profiles associated with target recipients of a set of advertisement cards.

Abstract: In some embodiments, a system for electronically validating coupons comprises a primary positive coupon database containing positive coupon data. The positive coupon data relates to one or more coupons known to the valid. The system further includes a computing system comprising a control circuit configured to execute a processing module that, when executed, receives electronic coupon data from a coupon comprising a machine-readable code, parses the electronic coupon data, compares the parsed electronic coupon data to the positive coupon data in the primary positive coupon database, and determines whether the coupon is valid by determining whether there is a match between the parsed electronic coupon data and the positive coupon data, and determining whether the coupon has expired based on an expiration date of the coupon contained in the parsed electronic coupon data and an identified expiration date.

Abstract: Herein disclosed are systems and methods for distributing fractional equity rewards to users of a loyalty platform based on tracked user loyalty purchases. The disclosed systems and methods may reduce time between a user loyalty purchase and distribution of a fractional equity reward determined based on the user loyalty purchase. In one example, by maintaining a pre-purchased supply of shares within an inventory account of the loyalty platform, and by distributing fractional equity rewards to user accounts on the loyalty platform from the pre-purchased supply, a reduction in reward distribution time may be enabled. Further, by maintaining the pre-purchased supply of shares of stock within the inventory based on a running average rate of fractional equity reward distribution, and predicted events, the amount of stock in the inventory may be intelligently controlled to reduce excess inventory, while reducing a probability of reward distribution delay.

Abstract: Systems and methods are described for providing user offers based on efficient iterative recommendation structures. In various aspects, a server invokes a bi-directional look-up interface via a lookup request, where the bi-directional look-up interface is exposed via an electronic recommendation structure. The lookup request causes the bi-directional look-up interface to return a bi-directional recommendation value. The bi-directional recommendation value indicates a likelihood of a first user selecting a first offer or a second offer. The bi-directional recommendation value is transmitted via a computer network to a client device associated with the first user upon a determination that the likelihood meets or exceeds a recommendation threshold. The client device is operative to display at least one of the first offer or the second offer.

Abstract: Methods, systems, and media for estimating the causal effect of different content exposure levels are provided.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for advertisement distribution using a multi-tenant on-demand database system. These mechanisms and methods for distributing advertisements using a multi-tenant on-demand database system can integrate an advertisement distribution service with the services provided by the multi-tenant on-demand database system. The ability to provide an advertisement distribution service with the services provided by the multi-tenant on-demand database system can enable the distribution of advertisements to take advantage of other data stored by and/or services provided by the multi-tenant on-demand database system.

Abstract: A control apparatus includes a controller configured to identify a position of a vehicle presenting an advertisement to outside of the vehicle, and determine whether to apply a discount to a usage fee for the vehicle according to the identified position.