Abstract: A OneAPP platform system and method provide hyperlocal searching. Each computing device has a OneApp that identifies a user action on the computing device that indicates an interest in a point of interest (PoI) and transform, in response to the user action on the computing device, the OneApp stored on the computing device into a PoI specific App that delivers PoI specific content and offers to the computing device.

Abstract: Techniques described herein include techniques for communicating information about the social behavior of users and transactions performed by users on a computer network. In one example, this disclosure describes a method that includes receiving information about identity disclosure activities performed by each of a plurality of users on the network; determining that the information about identity disclosure activities includes information consistent with a prior identity disclosure activity performed by a first user having a first user status on the network; increasing the first user status; determining that the information about identity disclosure activities includes information that is not consistent with a prior identity disclosure activity performed by a second user having a second user status on the network; and decreasing the second user status.

Abstract: Disclosed are systems and methods for generating recommendations to users based on historical travel information and electronic communication data. The disclosed systems and methods provide a novel framework for automating the transmission of electronic travel-related recommendations to users by consistently monitoring electronic messages received at an electronic communication mailbox corresponding to a user. The disclosed framework operates by leveraging historical user data, data parsed from electronic communication mailbox corresponding to a user, or various vendor information, and using the aforementioned data as inputs for travel-related recommendation models, in order to generate and transmit the optimal travel-related recommendations to a user.

Abstract: A computer-implemented method is provided for administering an online advertiser bidding interface. The method includes providing a bidding interface to an advertiser through a web server, by which an advertiser may bid on online advertising inventory of an online publisher, the bidding interface displaying a plurality of targeting elements; receiving targeting information from the advertiser through the targeting elements of the bidding interface and the web server; and generating an advertising bid based on the received targeting information. A system is also provided for administering an online advertiser bidding interface.

Abstract: Systems and methods for entity detection using artificial intelligence, including: a deep learning model service configured to: select and analyze a set of frames from a media item to determine a set of candidate brand-probability pairs; a voting engine configured to: determining that a first brand-probability pair of a set of candidate brand-probability pairs based on at least one obtained hyperparameter value does not meet a threshold for determining whether candidate brand-probability pairs are to be included in a result set; excluding the first brand-probability pair from the result set based on the determination; sorting the result set; and selecting at least one final brand-probability pair from the result set; and an offline transcoding service configured to: store the final brand-probability pair in a repository with a relation to an identifier of the media item.

Abstract: A method includes identifying, by a server, a content location assigned to a first content slot of a schedule template defining a display rotation loop based on multiple content slots. Each of the content slots in the schedule is associated with slot criteria, and the schedule template is associated with a digital display. The server generates schedule data that indicates the display rotation loop, the content location, and the slot criteria. Dynamic content retrievable from the content location is displayable at the digital display at a first time. The first time is based on the first slot criteria of the first content slot. The server transmits the schedule data via a network to the digital display.

Abstract: Method and system for providing carbon offsets. For example, the method includes collecting mindful driving data for one or more vehicle trips made by a user, analyzing the mindful driving data to determine a level of mindful driving of the user, determining a level of carbon offset reward based at least in part upon the level of mindful driving of the user, determining an amount of total carbon emission of the user, and providing an amount of carbon offset reward based at least in part upon the level of carbon offset reward and the amount of total carbon emission.

Abstract: A computing device (e.g., a server) coupled to a digital signage device may receive characteristic information associated with a visitor of the digital signage device. The received characteristic information may be analyzed, and based on a result of the analysis, advertisement attributes may be determined. The computing device may select, based on the determined advertisement attributes, a particular advertisement from a plurality of advertisement bids. The computing device may cause display of the selected particular advertisement on the digital signage device for the visitor. The characteristic information may be generated by the digital signage device utilizing a video analytics. The computing device may receive particular gesture information associated with a mobile device of the visitor who responds to the displayed particular advertisement.

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: 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: 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: 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 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: 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.