G06Q30/0205

SITE CHARACTERIZATION FOR AGRICULTURE

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterization of a physical site. One of the methods includes obtaining, for each of one or more physical locations corresponding to a respective coordinate at a surface of a growing medium at the locations, sensor data comprising a sensor profile generated from measurements taken by each of a plurality of sensors on a sensor unit passing through the respective coordinate at a plurality of different depth levels within the growing medium at the location; providing the sensor data as input to one or more probabilistic models configured to receive the sensor data comprising the respective sensor profiles to predict one or more characteristics of the growing medium at each of the physical locations; and obtaining, as output from the one or more probabilistic models, the one or more predicted characteristics for each physical location.

UTILIZING A SKETCHING GENERATOR TO ADAPTIVELY GENERATE CONTENT-CAMPAIGN PREDICTIONS FOR MULTI-DIMENSIONAL OR HIGH-DIMENSIONAL TARGETING CRITERIA

The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.

ORDER PROCESSING METHOD AND TERMINAL
20170278155 · 2017-09-28 ·

An order processing method includes: obtaining first order information and order sharing condition information, and generating an order sharing invitation message according to the first order information and the order sharing condition information; receiving an answer message returned by a target terminal according to the order sharing invitation message, and obtaining, according to the answer message, second order information and an acknowledged data transfer state indicated by the second order information; performing combination processing on the first order information and the second order information according to the acknowledged data transfer state returned by the target terminal, and generating settlement order information; and performing settlement on the settlement order information according to the order sharing condition information when the settlement order information meets an order sharing condition indicated by the order sharing condition information. A success rate and convenience of sharing orders by users are improved.

DETECTING FRAUDULENT USER ACCOUNTS USING GRAPHS

A fraud detection system is disclosed that detects potential fraudulent behavior associated a user account by identifying attributes of the user account that share attributes with one or more known fraudulent user accounts. The set of shared attributes for a user account are identified by constructing a bipartite graph comprising a set of user account nodes and a set of attribute nodes associated with the set of user account nodes. A match score for the user account is computed based on the set of shared attributes. Actions to be taken for the user account are identified based on the match score. The actions may include tagging the user account as potentially fraudulent. The actions can be used by a user (e.g., an administrator) of an organization to more intelligently determine appropriate measures to be taken for the potentially fraudulent user account.

METHOD AND APPARATUS FOR CONTENT DISTRIBUTION IN ONLINE MARKETPLACE APPLICATIONS
20170278119 · 2017-09-28 · ·

A method and apparatus for facilitating access by users at remote locations to an online marketplace. In an embodiment, one or remote platforms are provided at remote locations. Data in a data warehouse at a central location in the marketplace may be analyzed for content expected to be of interest to the users at the remote locations. Such content may be stored at a remote platform for easier access by users who normally may access that remote platform. New content in the data warehouse may be analyzed periodically, so that new content may be stored at the remote platform.

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.

DYNAMIC DATA ATTRIBUTION OF POINTS OF INTEREST
20220044267 · 2022-02-10 ·

Dynamic data attribution of a point of interest (POI) includes utilizing the latitude and longitude of a specific POI, along with a population density associated with a zip code in which the POI resides, to define a geographical area for which publicly and/or privately developed data attributes exist and are retrievable. Retrieved data attributes are stored in association with the POI for subsequent data analysis. In certain embodiments, the retrieved data attributes are analyzed to inform decisions related to products and/or services that are offered at the POI.

SYSTEMS AND METHODS FOR ANALYSIS AND ENHANCEMENT OF DATA

An electronic system for enhancing data includes a display device, a user input interface, a data enhancement controller, and a storage medium storing instructions that cause the data enhancement controller to retrieve a root record of a target data subject, the root record including at least one core data element, query a remote database of enhanced data elements using an electronic communication device configured to provide secure access to the remote database, create an enhanced target profile including the root record and at least one of the enhanced data elements, display, on the display device, the enhanced target profile, and display, at least one user selectable option for communicating an acquisition request to the target data subject using the enhanced target profile.

SELF-ADAPTIVE FAIR SYSTEM
20220044295 · 2022-02-10 ·

A self-adaptive fair system includes a mobile carrier, a first object, a processing unit and a production station. The mobile carrier is for selectively moving to or being moved to a first location. The first object is exhibited at the first location through the mobile carrier. The first object is accessed by a first user at the first location for selectively generating a first user design. The processing unit is for receiving a first order inputted by the first user and transmitting the first order. The first order is related to the first user design. The production station located outside the mobile carrier and signally connected to the processing unit for producing a second object according to the first order.

System and method for calculating and displaying price distributions based on analysis of transactions

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.