Abstract: By way of example, novel systems and methods for reproducing advertisements on connected vehicles are disclosed. In one example embodiment, a system for delivering advertisements include a plurality of connected vehicles participating in an advertisement event, and the plurality of connected vehicles is each configured to receive an instruction from one of the connected vehicles or a server over a network to cluster near or at a target area for reproducing an advertisement in a coordinated manner as a group of the connected vehicles.

Abstract: A machine-learning algorithm is trained with features relevant to a visual/video analysis performed on subjects conducting transaction at transaction terminals. The algorithm is also trained on weather data known at the time of the transactions and on selective details of the transactions. The algorithm produces as output predictions relevant to: whether a given subject for a current transaction is likely to enter a store, likely items that the given subject might purchase if the subject were to enter the store and likely amount of money that the subject would spend in the store, an effectiveness of providing an incentive for the subject to enter the store, and what type of incentive would most likely entice the subject to enter the store.

Abstract: An educational guide module including a reward system for a virtual storage system in data communication with a user computing device via a communication network, the virtual storage system includes at least one processor receiving from the user computing device, a selection of at least one of an education guide or the reward system corresponding to the virtual storage system, as input by a user, performing at least one instructional guide operation to instruct the user on operation of the virtual storage system, when the education guide is selected, and performing a reward operation to provide a reward to the user when the reward system is selected. The performance of the reward operation includes displaying at least one question to the user, receiving information input by the user as an answer to the at least one question, storing the information received, and calculating points based on the information received, and wherein the points are used to redeem a reward within the virtual storage system.

Abstract: A payment system for parking locations communicates with a plurality of parking meters, each of which is associated with a predetermined geographic location corresponding to a parking location. The system receives user identifying information via a communication related to payment for a parking session at a parking location identified by the communication, and determines a user credit/debit card data for payment of the parking session based on the user identifying information. Data related to the parking session at the geographic location of the parking meter is stored in a database associated with a parking history of the user, and determines one or more advertisements to communicate to the user based on the geographic location of the parking meter and previously stored data related to the parking history of the user.

Abstract: The present disclosure belongs to the field of network technologies, and discloses a resource deduction method and apparatus, an intelligent terminal, and a deduction server. The method includes: sending a rule obtaining request for a deduction rule of a user-specified deduction item to the deduction server; receiving the deduction rule returned by the deduction server; calculating a second resource value that is obtained after applying the deduction rule to a first resource value associated with the user-specified deduction item; and sending a resource transfer request carrying the second resource value to the deduction server. The present disclosure resolves a problem that a merchant needs to manually calculate expense that is obtained after applying the deduction rule to the first resource, and payment efficiency is relatively low.

Abstract: A system for evaluating health risk is provided. The system may be configured for requesting first data from a merchant associated with a user and second data from an activity tracking service associated with the user. The system may also comprise analyzing the item to determine a first health impact for the item based on the item and demographic information associated with the user. The system may further comprise analyzing the level of activity to determine a second health impact from the level of activity based on the level of activity and the demographic information associated with the user. The system may further comprise selecting an advertisement based on medical data, and at least one of the first health impact, the second health impact and the demographic information associated with the user.

Abstract: A promotion processing system may include a first mobile wireless communications device associated with a gift giver and configured to obtain a unique identifier from a product label of a product to be gifted, and record a video message associated with the unique identifier. The system may also include a second mobile wireless communications device associated with a gift recipient and configured to obtain the unique identifier. A promotion processing server may be configured to cooperate with the first mobile wireless communications device to obtain the video message and the unique identifier, and cooperate with the second mobile wireless communications device to obtain the unique identifier. The promotion processing server may also be configured to operate a chatbot and communicate the video message within the chatbot to the second mobile wireless communications device to display the video message thereon.

Abstract: The present principles are directed to systems and methods for providing a trading system cooperatively integrated with manufacturing control and distribution systems, and, more specifically, to provide a trading, clearance, settlement, and depository for securities, commodities, and their derivatives (collectively “securities”) that utilize asset-backed, virtualized data tokens and blockchain technology to facilitate price discovery and automated transactions at all stages of the asset development, manufacturing, and distribution of commodities.

Abstract: Approaches presented herein enable creating a dynamic geofence based on an availability of a product to optimize a flow of customers to a venue. Specifically, a geofence at a venue (e.g., retail outlet, restaurant, ticket office, etc.) is established based on a reference point and an area having a range. A campaign related to a product (e.g., a sales promotion, etc.) is associated with the established geofence. An aspect of the established geofence is dynamically modified based on an availability of the product in order to optimize the flow of customers to the venue.

Abstract: A computer program product is provided for predicting ad spend for a specific media program aired or streamed on a specific network at a specific date and time using a database of media program data that includes known ad spend for a subset of media programs, and viewership data for each of the media programs, including total viewership and viewership ratings. Each of the media programs is identified by its respective network, and date and time of airing or streaming. A random forest model is trained to predict ad spend using variables that are identified as being correlated with ad spend. The trained random forest model is then used to predict ad spend for a specific media program that is aired or streamed on a specific network at a specific date and time, and which has an unknown ad spend.

Abstract: A system for generating a customized communication with a customer is described, and includes: a near field communication (NFC) reader for receiving, from the customer, a request for an interaction; an input device for receiving an input from the customer, wherein the input includes a customer credential; a processor for: receiving a request, from a near field communication (NFC) enabled device, for an interaction with a customer; requesting a valid customer credential from the customer; receiving an input from the customer in response to a request for the valid customer credential to achieve a received customer credential; determining a validity of the received customer credential; and generating, after the determining the validity of the received customer credential, client information customized for the customer based upon a customer account linked to a determined valid customer credential to achieve a generated customized client information.

Abstract: A computing system receives a request for an advertiser webpage from a user device associated with a consumer. The consumer requests the advertiser webpage by activating a link associated with the advertiser webpage and embedded in the advertisement placed on the webpage of the publisher. The advertiser computing system also receives financial information relating to the consumer in response to receiving the request, customizes the advertiser webpage based at least in part on the financial information relating to the consumer, and transmits the customized advertiser webpage to the user device.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for dynamically generating discounted product digital notifications based on remaining product shelf life. For example, in one or more embodiments, the disclosed system determines an expiration date or a target product available for purchase from a merchant. Additionally, in one or more embodiments, the disclosed system utilizes a machine-learning model to dynamically generate discount prices for the target product over time based on the expiration date. In one or more embodiments, the disclosed system identifies a client device of a customer and provides a discount price for the target product for a given time window to the client device of the customer.

Abstract: In one aspect, a computerized method for implementing a contact management system for automatic management of a user's contact information includes the step of providing a contact management system that is used to manage a user's contact information; associating a sponsor with the user of the contact management system. The method includes the step of receiving a request to share the user's contact information to another user's contact list in another user's computing device. The method includes the step of integrating a sponsor advertisement into the user's contact information. The method includes the step of transferring the user's contact information and the sponsor advertisement to the other user's computing device.

Abstract: In many embodiments, the method can comprise receiving a search query from a search by a user and determining a question to present to the user. In many embodiments, determining the question to present to the user can comprise evaluating a user profile associated with the user, evaluating the search query, evaluating one or more user actions during a current browse session of the user, and selecting the question from a set of questions. In some embodiments, the method can further comprise presenting the question to the user when a confidence score associated with the question reaches or exceeds a predetermined threshold. Other embodiments of related methods and systems are also provided.

Abstract: Systems and methods are disclosed herein for distributing online ads with electronic content according to online ad request targeting parameters. One embodiment of this technique involves placing online test ads across multiple online ad request dimensions and tracking a performance metric for the online test ads. The performance of the online ad request dimensions is estimated based on the tracking of the performance metric for the online test ads and online ad request targeting parameters are established for spending a budget of a campaign to place online ads in response to online ad requests having particular online ad request dimensions. Online ads are then distributed based on using the online ad request targeting parameters to select online ad requests.

Abstract: Techniques are disclosed for determining application experience of a user. One embodiment presented herein includes a computer-implemented method, which includes receiving, at a computing device, eye tracking data of a user interacting with at least a first page of an application. The computer-implemented method further includes determining, based at least on the eye tracking data, at least a current user experience regarding the first page. The computer-implemented method further includes predicting, based on evaluating the current user experience, that the user is likely to discontinue use of the application. The computer-implemented method further includes determining, based at least on the prediction, an intervention that reduces a likelihood of the user discontinuing use of the application, and interacting with the user according to the intervention.

Abstract: A method, computer system, and computer program product. A list of items to be rendered on a display screen is received by a computer system. A display priority of each item in the list is determined by the computer system. Each item in the list is rendered in chronological order on the display screen, based on the determined display priority of each item in the list by the computer system.

Abstract: Systems and methods for the selection of the promotions are provided. A set of possible offers are initially received, each including a set of variables, with each variable having a set of possible values. These form a combination of variable values for each offer. A heuristic is applied to all possible offers to reduce the number of offers being considered. The combination of variable values for these reduced number offers is converted into a vector value, which is then scored, ranked and the top ranked offers are selected for inclusion in a promotional campaign. The remaining offers are then analyzed to select additional offers to include into the promotional campaign which maximizing a determinant for the selected offers using their vectors. All selected offers are administer in a promotional test campaign across many consumer segments. Feedback from the campaign may be collected to generate a “general” offer.

Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.