Email review system
    1.
    发明授权

    公开(公告)号:US12238055B2

    公开(公告)日:2025-02-25

    申请号:US18104814

    申请日:2023-02-02

    Inventor: Jeffry B Sabat

    Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a review initiation request may be received from a first email account. The review initiation request may indicate proposed email content and/or a reviewer of the proposed email content. An email may be generated based upon the review initiation request. The email may include the proposed email content and/or an email review interface including a feedback entry field and/or an approval selectable input. The email may be transmitted to a reviewer email account of the reviewer. A review response may be received, via the email review interface, from the reviewer email account. The review response may indicate (i) feedback, indicating one or more suggestions associated with the proposed email content, submitted via the feedback entry field, and/or (ii) an approval indicator, indicating approval of the proposed email content, submitted via the approval selectable input.

    METHOD AND SYSTEM FOR SERVING PERSONALIZED CONTENT TO ENHANCE USER EXPERIENCE

    公开(公告)号:US20250039118A1

    公开(公告)日:2025-01-30

    申请号:US18912976

    申请日:2024-10-11

    Abstract: A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

    SYSTEM AND METHOD FOR MODEL-AGNOSTIC META-LEARNER FOR NOISY DATA WITH LABEL ERRORS

    公开(公告)号:US20250028788A1

    公开(公告)日:2025-01-23

    申请号:US18906642

    申请日:2024-10-04

    Inventor: Eliyar Asgarieh

    Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. Machine learning is performed based on training data via a dual loop learning process that includes a first loop for data decoding learning and a second loop for label decoding learning. In the first loop, first parameters associated with decoding are updated to generate updated first parameters based on a first label, estimated via the decoding using the first parameters, and a second label, predicted via the label decoding using second parameters. In the second loop, the second parameters associated with the label decoding are updated to generate updated second parameters based on a third label, obtained via the decoding using the updated first parameters, and a ground truth label.

    USER PROFILE FILTERING BASED UPON SENSITIVE TOPICS

    公开(公告)号:US20250005085A1

    公开(公告)日:2025-01-02

    申请号:US18216624

    申请日:2023-06-30

    Abstract: One or more systems and/or methods for filtering user profiles based upon sensitive topics are provided. A set of candidate topics labeled with sensitivity labels corresponding to whether candidate topics are sensitive topics or non-sensitive topics are generated. The sensitivity labels are applied to an unknown entity space of entities to label the entities with the sensitivity labels to create a set of labeled topics labeled as either the sensitive topics or the non-sensitive topics. The set of labeled topics and metadata for the set of labeled topics are stored within a central sensitivity data store. The set of labeled topics and metadata within the central sensitivity data store are used to filter sensitive topics from user profiles of users.

    METHOD AND SYSTEM FOR DETERMINING ALPHA AND BETA VALUES OF A CANDIDATE RELATIVE TO A CLASS

    公开(公告)号:US20240420014A1

    公开(公告)日:2024-12-19

    申请号:US18335353

    申请日:2023-06-15

    Inventor: Eric BAX Max BEECH

    Abstract: Disclosed are systems and methods for determining a beta value of at least one candidate relative to a class. The method comprises receiving historical data for the at least one candidate and historical data for the class; determining a first set of regression coefficients for the historical data for the at least one candidate, and a second set of regression coefficients for the historical data for the class; and calculating the beta value for the at least one candidate relative to the class based on the first set of regression coefficients and the second sets of regression coefficients. The method may further include generating an indication that the beta value for the candidate is one of positive, negative, or zero; and transmitting to at least one display window of a graphical user interface (GUI) a graphical symbol corresponding to the indication of the beta value for the candidate.

    COMPUTERIZED SYSTEM AND METHOD FOR DETERMINING AND DISPLAYING MESSAGE CONTENT IN A USER'S INBOX

    公开(公告)号:US20240388557A1

    公开(公告)日:2024-11-21

    申请号:US18785201

    申请日:2024-07-26

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content communicating, displaying, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods determine and display message content within a portion of a message inbox in a manner that is specific to the type message content. According to some embodiments, when a message is received in a message inbox of a user, the message content can be opened for display within a dedicated portion of the inbox, thereby enabling improved message content retrieval, access and navigation within a message platform or message application.

    SYSTEM AND METHOD FOR IDENTIFYING LONG-TAIL TOPICS AND CONTENT AND APPLICATIONS THEREOF

    公开(公告)号:US20240386064A1

    公开(公告)日:2024-11-21

    申请号:US18320350

    申请日:2023-05-19

    Abstract: The present teaching relates to method, system, medium, and implementations for content serving. A user's profile characterizing the user's long-tail interest with respect to some long-tail topics may be obtained. Each long-tail topic in the user's profile is associated with a long-tail topic score representing a degree of the user's interest in the long-tail topic. Long-tail content in some long-tail topics may be identified for the user and sent to the user. When information about online activities of the user directed to the long-tail content is received, corresponding long-tail topic scores in the user profile associated with the long-tail topics are updated based on the user's online activities.

    COMPUTERIZED SYSTEM AND METHOD FOR FINE-GRAINED EVENT DETECTION AND CONTENT HOSTING THEREFROM

    公开(公告)号:US20240371162A1

    公开(公告)日:2024-11-07

    申请号:US18769976

    申请日:2024-07-11

    Abstract: The disclosed systems and methods provide a novel framework that provides mechanisms for performing cost-effective, accurate and scalable detection and recognition of fine-grained events. The framework functions by training high precision and high recall object/optical character recognition (OCR) models and aligning video frames to text commentaries of the videos (e.g., licensed play-by-play). The disclosed framework operates as a single algorithm that performs multimodal alignments between events/actions within videos and their prescribed text. Thus, the disclosed framework is able to scale to fine-grained action categories across different venues by delving into the key frames and key aspects of a video to identify particular actions performed by particular actors, thereby providing the novelty of fine-granted action detection and recognition.

    SYSTEMS AND METHODS FOR SMART MANAGEMENT OF INBOX

    公开(公告)号:US20240356884A1

    公开(公告)日:2024-10-24

    申请号:US18476426

    申请日:2023-09-28

    CPC classification number: H04L51/42 G06F40/20

    Abstract: In some implementations, the techniques described herein relate to a method including: (i) identifying, by a processor, electronic files stored in association with a user account, (ii) analyzing, by a large language model (LLM) executed by the processor, the electronic files and identifying, based on the LLM analysis, at least one file that is a candidate for deletion, (iii) compiling, by the processor, an electronic message comprising an output indicating deletion of the at least one file, (iv) causing display, by the processor, the electronic message, (v) receiving, by the processor, user input related to the at least one file, (vi) analyzing, by the LLM executed by the processor, the user input, and (vii) performing, by the processor based on the analysis of the user input via the LLM, an action on the at least one file conforming to the user input.

Patent Agency Ranking