Patent classifications
G06Q30/0205
SYSTEM AND METHOD FOR TARGETING DIGITAL CONTENT AT PRODUCT TERMINALS USING REFERENCE DATA
A targeted advertising scheduling and displaying process in the context of product terminal displays is made possible by the present invention. An embodiment described herein provides for a first server retrieving digital content from CMS. The first server formats the digital content to be output by at least one product terminal of a plurality of product terminals in accordance with one or more characteristics of the at least one product terminal. Each product terminal of the plurality of product terminals is disposed in a fixed location remote from the first server. The server identifies the at least one product terminal from the plurality of product terminals to output the formatted digital content and causes output of the formatted digital content by the at least one product terminal by transmitting the formatted digital content to a second server associated with the at least one product terminal.
Utilizing machine learning models, predictive analytics, and data mining to identify a vehicle insurance fraud ring
A device may consolidate the input data associated with vehicle insurance claims to generate processed input data. The device may process claims data, treatment data, and repair shop data to resolve ambiguities in the processed input data and to generate resolved data. The device may process the resolved data to generate related data identifying relations between persons and vehicle accidents. The device may process notes of claims adjusters and vehicle accident descriptions to extract feature data identifying features. The device may process the feature data to determine contradiction data identifying contradictions in the feature data. The device may process weather data, location data, and telematics data to determine weather conditions and locations associated with the accidents. The device may process the related data, the contradiction data, the weather conditions, and the locations to generate a knowledge graph. The device may identify a fraud ring based on the knowledge graph.
ENHANCED DESTINATION INFORMATION FOR RIDESHARE SERVICE
The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter.
TRANSACTION-ENABLED METHODS FOR PROVIDING PROVABLE ACCESS TO A DISTRIBUTED LEDGER WITH A TOKENIZED INSTRUCTION SET
Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for polymer production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a polymer production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and providing provable access to the instruction set. The method may further include providing commands to a production tool of the polymer production process and recording the transaction on the distributed ledger.
Systems and methods for fixing schedule using a remote optimization engine
Systems and methods for scheduling tasks to field professionals are provided. In one implementation, the system receives real-time information about a progress of a field professional assigned to a set of tasks. The real-time information may reflect a likelihood the field professional will complete the assigned a set of tasks. The system dynamically determines a window of opportunity to assign an additional task to the field professional based on the real-time information. Thereafter, the system identifies a plurality of optional tasks that the field professional can complete during the window of opportunity. In some cases, the window of opportunity includes an unplanned event likely to interfere with at least one scheduled task. The system can either present the optional tasks to the field professional and assign a task based on the field professional's selection; or automatically select a task for assignment to the field professional based on historical data.
System, Method, and Computer Program Product for Providing Real-Time Offers Based on Geolocation and Merchant Category
Provided is a computer-implemented method, system, and product for providing real-time offers based on geolocation and merchant category. The method includes receiving data associated with a plurality of transactions conducted by a plurality of merchants, the plurality of merchants including a first merchant associated with at least one first merchant category, determining an area of interest based on an estimated travel time to the first merchant from the plurality of merchants, determining a subset of merchants of the plurality of merchants within the area of interest associated with the at least one first merchant category, determining real-time market activity data associated with the first merchant and each merchant of the subset of merchants, and identifying a trend of increasing and/or decreasing transactions for the first merchant and each merchant of the subset of merchants.
Systems and Methods for Analyzing a List of Items Using Machine Learning Models
Techniques are described for training machine learning (ML) models using one or more electronic lists of items previously used in campaigns and labeled with an engagement rate corresponding to the list. A vocabulary formed from a union of the one or more lists may then be used to generate at least some items of a target recipient list. An engagement rate for the target recipient list may be inferred for the target recipient list. Natural language processing (NLP) techniques may be also be applied to optimize an engagement rate of a target recipient list and/or select content for the list.
PROVIDING WEATHER INFORMATION USING SOUND LOCALIZATION
A method, computer system, and computer program product for providing weather information are provided. An indication of a subject of interest may be received from a user. A geo-location of the subject of interest may be determined. Weather information within a threshold distance from the geo-location may be determined. Sounds corresponding to the weather information may be generated. The sounds may include sound localization with respect to the user in order to indicate a position of the weather information with respect to the geo-location.
PLURAL PRICE RANGE SYMBOL WIDTHS INTEGRATION DISPLAY SYSTEM, METHOD, AND DEVICE
A method of displaying a plurality of price range symbols, each price range symbol being representative of a time period, each time period having a same duration, the method includes generating and displaying, by a charting engine, a first of one or more price range symbols positioned starting at a first position corresponding to a first time and having a first symbol width spanning the time period, and generating and displaying, by the charting engine, a second of one or more price range symbols positioned starting at a second position corresponding to a second time and having a second symbol width spanning the time period, wherein the second time occurred after the first time and the second symbol width is wider than the first symbol width.
Systems, devices, and methods for autonomous communication generation, distribution, and management of online communications
This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.