Systems and Methods for Generating Behavior Profiles for New Entities

    公开(公告)号:US20250095002A1

    公开(公告)日:2025-03-20

    申请号:US18965057

    申请日:2024-12-02

    Abstract: Disclosed are a method and system for generating a behavior profile for a new entity. The method is performed in response to and immediately after a new entity is added to a fraud detection system. The method includes generating a doppelganger behavior profile for the new entity based on feature data of the new entity and pre-existing entities. Generating the profile includes determining a similarity score for each pre-existing entity, ranking the plurality of pre-existing entities based on the score, selecting pre-existing entities based on the ranking, and combining behavior profiles of the preexisting entities to produce the profile. The method also includes assigning the profile to the new entity and monitoring the new entity. The method further includes detecting fraud, an anomaly, and/or malicious intent based on the profile, and automatically suspending an aspect of the new entity in response to the detection.

    Systems and methods for contract based offer generation

    公开(公告)号:US12254482B2

    公开(公告)日:2025-03-18

    申请号:US18159249

    申请日:2023-01-25

    Applicant: MAPLEBEAR INC.

    Abstract: Systems and methods for a contract-based offer generator is provided. A contract for a promotional offer on a product is received. Data is extracted from the contract. An offer band is accessed, and a plurality of test offers are selected from the offer bank by scoring each offer in the offer bank against the extracted data. The promotional offer and the selected plurality of test offers are deployed in a plurality of retail locations. This is done by maximizing orthogonality between the following variables: store sales, store out of stock rates, number of relevant SKUs carried in each store, temporal effects, discount depth, buy quantity and offer structure.

    METHOD AND SYSTEM FOR IDENTIFYING PRODUCT DETAILS FROM MARKETING COLLATERAL IMAGES

    公开(公告)号:US20250087002A1

    公开(公告)日:2025-03-13

    申请号:US18796739

    申请日:2024-08-07

    Abstract: Retailers need information about their competitor's pricing and promotions and marketing collaterals are one of the most vital sources of this information. Conventional approaches for extracting product names from marketing collaterals depends on large volume of data repositories and complex machine learning based approaches. The present disclosure extracts product name blocks from marketing collaterals using image processing techniques. The inputs to the present disclosure are seed words and the marketing collateral. A plurality of word level text regions from the image and text value are obtained. Further, a plurality of text characteristics corresponding to each of the plurality of word level text regions are extracted and matching seed word regions are obtained. Further a plurality of meaningful text blocks and a plurality of seed blocks are obtained. Finally, a plurality of product names are extracted using a matrix based product name detection technique and updated in the product dictionary.

    Systems and methods for using crowd sourcing to score online content as it relates to a belief state

    公开(公告)号:US12248481B2

    公开(公告)日:2025-03-11

    申请号:US17869138

    申请日:2022-07-20

    Abstract: A method comprising: during a first time period, obtaining one or more first content ratings of a particular content item from one or more first users, each first content rating defining a first user measure of a belief state of the particular content item; and generating a first content score for the particular content item, the first content score defining a crowd-sourced measure of the belief state of the particular content item; during a second time period, obtaining one or more second content ratings from one or more second users for the particular content item, each second content rating defining a second user measure of the belief state of the particular content item; and generating a second content score for the particular content item, the second content score defining a second crowd-sourced measure of the belief state of the particular content item; comparing the second crowd-sourced measure of the belief state of the particular content item against each of the one or more first content ratings of the particular content item to determine an expertise value for each of the one or more first users; and issuing the expertise value to each of the one or more first users.

    SELECTING RECOMMENDATIONS BASED ON MACHINE LEARNING PREDICTION OF USER SENSITIVITY TO RELEVANCE OF RECOMMENDATIONS TO SEARCH RESULTS

    公开(公告)号:US20250078133A1

    公开(公告)日:2025-03-06

    申请号:US18240157

    申请日:2023-08-30

    Applicant: Maplebear Inc.

    Abstract: Content items are presented to users based on sensitivity scores indicating sensitivity levels of users to relevance of content items to queries. A system receives a query from a target user, retrieves a set of search results responsive to the query, and retrieves a set of content items, each of which has a relevance score to the query. The system applies a machine learning model to user data of the target user to output a sensitivity score, indicating a sensitivity level of the target user to relevance of content item to the query. The system then selects one or more content items based on the sensitivity score and the relevance scores of the content items, incorporates the selected content items into the search results, and sends the search results with the selected content items for display to the target user.

    MEDIA DEVICE ON/OFF DETECTION USING RETURN PATH DATA

    公开(公告)号:US20250077920A1

    公开(公告)日:2025-03-06

    申请号:US18950686

    申请日:2024-11-18

    Abstract: Example methods disclosed herein include accessing common homes data for a group of common homes, the common homes data including return path data and panel meter data. Disclosed example methods also include accessing common homes data for a group of common homes, the common homes data including first return path data and corresponding panel meter data associated with respective ones of the common homes, grouping the common homes data into view segments, classifying the view segments based on whether the return path data in respective ones of the view segments has matching panel meter data to determine labeled view segments, generating features from the labeled view segments, training a machine learning algorithm based on the features, and applying second return path data to the trained machine learning algorithm to determine whether a media device associated with the second return path data is on or off.

    INFORMING VEHICLE OCCUPANTS ABOUT POINTS-OF-INTEREST

    公开(公告)号:US20250076072A1

    公开(公告)日:2025-03-06

    申请号:US18461063

    申请日:2023-09-05

    Abstract: A system for providing information to an occupant of a vehicle includes a global navigation satellite system (GNSS), a vehicle communication system, a display system configured to provide information to the occupant of the vehicle, and a vehicle controller in electrical communication with the GNSS, the vehicle communication system, and the display system. The vehicle controller is programmed to determine a location of the vehicle using the GNSS. The vehicle controller is further programmed to transmit the location of the vehicle to a remote server system using the vehicle communication system. The vehicle controller is further programmed to display a graphic using the display system. The graphic is received from the remote server system. The vehicle controller is further programmed to transmit an engagement metric of the graphic to the remote server system using the vehicle communication system.

    SYSTEMS AND METHODS FOR ACCESS CONTROL

    公开(公告)号:US20250071116A1

    公开(公告)日:2025-02-27

    申请号:US18826624

    申请日:2024-09-06

    Applicant: Aktana, Inc.

    Inventor: Adiel COHEN

    Abstract: The present disclosure provides systems, methods, and computer program products for controlling and securing access to a computing environment comprising a plurality of resources that access data. An example method can comprise (a) segmenting the data into a plurality of data segments; (b) associating a user of a plurality of users of the computing environment with one or more data segments of the plurality of data segments; and (c) providing an access control system that defines access to the plurality of resources comprising a first resource. The first resource can be associated with one or more data segments of the plurality of data segments. The method can further comprise (d) determining whether the user has permission to access the first resource using the access control system. The determining can comprise verifying whether the user and the first resource are associated with at least one same data segment.

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