Abstract: An information processing method to be carried out by a terminal that is configured to communicate with an electronic device, is provided. The electronic device may be configured to manage information related to a vehicle. The information processing method may include: receiving vehicle usage fee information related to a vehicle usage fee for the vehicle from the electronic device, through a communication interface of the terminal, the vehicle usage fee being based on an advertisement that is displayed on a display device of the vehicle; and displaying a first display that is based on the vehicle usage fee information, in a display area of the terminal.

Abstract: A transport service system receives a ride request from a user device of the transport service, the ride request specifying information about a trip and selecting a direct dispatch pairing mode. The transport service system receives from the user device an input animation, the input animation acquired by the user device from a driver device. In one embodiment the input animation is a sequence of flashing colors. Based on the input animation, the transport service system identifies the driver device and transmits the received ride request to the identified driver device. The transport service system receives an acceptance from the driver device and pairs the driver device and the user device for the ride.

Abstract: Disclosed embodiments may include a method for automatically providing customized financial card incentives where the system can identify if a transaction is eligible for additional bonus rewards by determining if the user is a student using a clustering algorithm with user similarity data to generate a probability. Then, if the probability is above a predetermined threshold, a machine learning model with comprehensive user data classifies the user as a student or non-student. Once the user is determined to be a student, the transaction is verified as being an educational purchase using the transaction data or by having the user provide an image of a receipt. Once the transaction is verified, the transaction or items within the transaction qualify for additional rewards that are applied to the user's account. Users who are not identified as students may qualify for a standard amount of rewards.

Abstract: A method and system for providing electronic universal incentive awards processing with blockchains. Universal incentive award points are earned for academic (e.g., tutoring, homework completion, lab completion, project completion, etc.) athletic (e.g., watching sports events, participating in sports events, assisting with sports events, etc.), mentoring, volunteering, extra-curricular activities, clubs, community service and/or other selected activities. The universal incentive award points earned are stored in a blockchain. The blockchain allows the creation and use of universal electronic universal incentive award points with transparency, authentication, verification and fraud prevention. The universal incentive award points are immediately redeemable from the blockchain for goods and services. The incentive award points information can be immediately sent and received with wireless, contactless transfer of information.

Abstract: The present disclosure describes transaction-enabling systems and methods. A system can include a facility having a core task and a controller. The controller may include a facility description circuit to interpret historical facility parameter values and corresponding outcome values. A facility prediction circuit operates an adaptive learning system to train a facility resource allocation circuit in response to the historical facility parameter values and corresponding outcome values. The facility description circuit further interprets a plurality of present state facility parameter values and the trained facility resource allocation circuit adjusts facility resource values in response.

Abstract: The disclosed technology includes system and method for impressing publicly displayed information on mobile devices. The method comprises determining at least a first place and a second place for a mobile device based on locations associated with the mobile device. Each of the first place and the second place being a place where the mobile device is regularly located as indicated by densities of the locations mapped over a geographical region and the corresponding time stamps. The first place and second place are used to determine one or more travel routes routinely taken by a user of the mobile device, and to build an association database, where the mobile device is associated with one or more information documents, each of the one or more information documents including information publicly displayed along the one or more routes.

Abstract: Systems and methods for providing product samples to users in autonomous vehicles, thereby allowing businesses to advertise their products via the rideshare platform. A physical advertising platform is provided leveraging existing rideshare and delivery infrastructure to allow businesses to advertise their products by providing samples in rideshare vehicles and/or with rideshare vehicle deliveries. Consumers have the opportunity to try new products from local businesses that they may otherwise not be exposed to. In some implementations, a rideshare application interface can allow users to see what new local product samples are available. In some examples, a user can select one or more product samples to try.

Abstract: An example operation may include one or more of acquiring, by a promotion processor node, consumer exploration of a product data from a blockchain, determining, by the promotion processor node, features of the product, receiving, by the promotion processor node, a promotion plan from at least one product retailer node, and executing a smart contract to generate a plurality of promotion tokens based on the features of the product and the promotion plan.

Abstract: A method for determining customer lifetime value using an incentive system to provide for geographically limited rewards earned for transactions includes tracking payment card transactions between enrolled payment cardholders and enrolled merchants, creating a database of rewards eligible transactions, instructing a virtual payment card issuer to apply the rewards amount for each rewards eligible transaction to an account, receiving transaction authorization requests from the virtual payment card issuer corresponding to enrolled cardholders requesting to spend rewards within their corresponding account, if the transaction is occurring within a prescribed geographic area in which rewards can be spent, transmitting an authorization for the virtual card issuer to complete the transaction using the rewards, establishing a cohort of enrolled payment cardholders and associated transaction data, and calculating a custom lifetime value for the enrolled payment cardholders within the cohort, the calculation based on t

Abstract: Illustrative methods and systems may determine whether a rideshare is verified based on received rideshare data. A verification code may be assigned to a rideshare trip. The verification code may be provided to a rider of the rideshare trip. The verification code may be received by a vehicle device assigned to the rideshare trip via user input or communication from the rider device. Whether the rider has entered the correct vehicle for the rideshare trip may be verified based on the verification code assigned to the rideshare trip and the verification code received by the rideshare vehicle.

Abstract: The invention relates to a campaign management system comprising a computer-data processor memory, a graphical user interface (GUI), the management system (CAMS) processing a plurality of participant records (PREC) according to a user-configured process structure (PS) of a plurality of configured logic templates (CLT) configured on the basis of a plurality of logic templates (LT); the graphical user interface (GUI) is arranged to display graphical elements (GE), each graphical element (GE) being associated with a logic template (LT); wherein said logic templates (LT) comprise user editable parameters (UEP) being editable using the graphical user interface (GUI) and an executable program fragment (EPF) being executable on the basis of said user editable parameters (UEP) and one or more of said participant records (PREC); wherein the graphical elements (GE) are couplable using said graphical user interface (GUI) by a user, the coupling defining the process structure (PS) of said executable program fragments (EP

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.

Abstract: What is disclosed is a system to enable a user with an associated user device to receive a context dependent transportation experience, further wherein said system comprises a framework comprising one or more components, wherein said one or more components are coupled to each other and the user device via one or more interconnections; wherein said framework determines at least one context associated with said user and said user device; and wherein based on said determined context, said framework performs one or more actions.

Abstract: The systems and techniques described herein measure advertisement effectiveness of behavior-based outcomes (e.g., site visit, number of pages consumed, searches, online and offline transactions). The system implemented an automated model to measure the impact of exposures and impressions on outcomes using uses panel data, cookie-based data, and combinations thereof. The techniques use test and control approach to calculate effectiveness, where the test group are those exposed to a campaign and a control group who is not exposed. For those exposed, a running analysis of impressions (and other variables) in a pre period is used to determine behavior based outcomes over a set time period after that exposure. As a result, the automated model is able to generate metrics that show absolute and relative impacts on future behavior.

Abstract: In many embodiments, a system comprising one or more processor and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: determining a set of questions associated with a campaign by extracting text from one or more advertisements; generating vector embeddings of one or more online activities of a user; receiving a search query from a graphical user interface of a computing device of the user; determining a second question from the set of questions to present to the user based on respective relevance probabilities; determining a confidence score associated with the second question; and when the confidence score associated with the second question exceeds a second predetermined threshold, presenting the second question to the user via the graphical user interface. Other embodiments of related methods and systems are also provided.

Abstract: Embodiments of the present invention provide for machine learning-based systems and methods for preventing fraud in programmatic advertising. The systems and methods provide for applying a plurality of machine learning models to data associated with a bid request, determining if the bid request is associated with fraudulent activity as a result of the machine learning models, and selectively preventing the bid request from being provided to potential buyers based on the determination.

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: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: query components of an information handling system; receive first multiple of information respectively from the components; retrieve encrypted inventory information associated with the components; decrypt the encrypted inventory information to determine second multiple of information associated with the components; display, via a user interface, the first multiple of information and the second multiple of information; determine if the first multiple of information differs from the second multiple of information; if so, display, via the user interface, at least one difference between the first multiple of information and the second multiple of information; and if not, via the user interface, information indicating that no discrepancy exists between the first multiple of information and the second multiple of information.

Abstract: A computer program product, method and mobile device, the computer program product comprising a non-transitory computer readable storage medium retaining program instructions configured to cause a processor to perform actions, wherein the processor is a processor of a mobile device of a user, wherein the mobile device is in communication with a server associated with an entity other than the user, wherein the server is in communication with a plurality of mobile devices, each of which retaining the computer program product, wherein the program instructions implement: subject to an occurrence of an event associated with the user of the mobile device, obtaining data to be transmitted to the server, wherein the event is of interest to the entity, wherein the data to be transmitted comprises demographic information of the user and a property of the event, wherein the data excludes identifying information; and transmitting the data to the server.

Abstract: To identify a target engagement sequence with a highest likelihood of realizing an opportunity, a target engagement sequence generator uses models (artificial recurrent neural network (RNN) and a hidden Markov model (HMM)) trained with historical time series data for a particular combination of values for opportunity characteristics. The trained RNN identifies a sequence of personas for realizing the opportunity described by the opportunity characteristics values. Data from regression analysis indicates key individuals for realizing an opportunity within each organizational classification that occurred within the historical data. The HMM identifies the importance of each persona in the sequence of personas with communicates to the key individuals. The resulting sequence of individuals indicates an optimal sequence of individuals and order for contacting those individuals in order to realize an opportunity.