14 results about "Email management" patented technology

Methods, systems, and computer storage media for providing context-aware out-of-office (OOO) assistance using an email management engine. Context-aware OOO assistance supports email management operations that provide OOO functionality with artificial intelligence and context-awareness for email management during periods of unavailability. In operation, an email message is accessed. An email message category is determined for the email message. The email message category can be a scheduling meeting category, a requesting information category, or a task delegation category. Based on the email message category, a plurality of OOO operations associated with the email message category are executed. Based on executing the plurality of OOO operations associated with the email message category, a response for the email message is generated. The response is associated with one of the following: scheduling meeting data, requesting information data, or task delegation data. The response is communicated to cause display of the response on an email interface.

The invention relates to the technical field of information security, and discloses a business secret evidence storage method. The method comprises the steps of constructing a confidential environment to generate encrypted documents, constructing a multi-level project management structure and a permission hierarchy for managing the encrypted documents, collecting all the encrypted documents and corresponding operation logs based on a structured work order, calculating respective corresponding hash values, and performing mail management. And performing conference management and regularly and incrementally uploading the hash values of all the encrypted documents, the hash values of the operation logs corresponding to all the encrypted documents and the hash values of the conference records to a block chain evidence storage platform. According to the application, ordered organization and accurate authority control of commercial secrets are realized based on construction of a multi-level project management structure, data are ensured to be timely, complete and non-tampered, a clear track is provided for infringement tracing, right protection is facilitated, data leakage is prevented, and judicial secrecy requirements are met; through block chain evidence storage and multi-dimensional evidence packet generation, data authenticity and evidence integrity are ensured, and infringement disputes can be quickly dealt with.

The disclosed system enhances task and calendar management through artificial intelligence. The system obtains multiple messages and calendar entries associated with a user. Using AI, the system analyzes messages to identify tasks related to calendar entries. For each task, the system retrieves information including the subject matter and invitees associated with the related calendar entry. The system then identifies a group of messages relevant to the calendar entry based on the invitees and / or subject matter. Using AI, the system creates a summary of these relevant messages and sends this summary to the user. This process streamlines task management, improves calendar organization, and provides concise summaries of relevant message conversations, thereby enhancing overall productivity and communication efficiency.

Methods, systems, and computer storage media for providing an LLM-based labeler development engine in a customer service management system are described. The LLM-based labeler development engine leverages ground-truth data (e.g., human-labeled data), example selection machine learning model, a few-shot learning LLM, and iterative labeling refinement operations to develop an LLM-based labeler. The labeler development engine uses the ground-truth data, the few-shot learning LLM and iterative refinement operations—including error analysis and automatic prompt correction to train the LLM-based labeler. The LLM-based labeler can be used to label a training dataset for training a machine learning model for the customer service email management system, the machine learning model supports categorizing incoming customer service emails. In this way, the LLM-based labeler operates as an intermediary labeler that is developed with a subset of data to facilitate labeling a training dataset for training the machine learning model of a customer service email management system.

The invention discloses a data processing method and device, a storage medium and electronic equipment, and relates to the technical field of data processing. Processing the to-be-tested mail data by using a mail management system; based on the processing operation of the mail management system on the to-be-tested mail data, determining a mail processing capability parameter and a mail security performance parameter; and evaluating the mail management system according to the mail processing capability parameter and the mail security performance parameter, and generating an evaluation result. Compared with the prior art, the method has the advantages that the overall management capability of the mail management system is comprehensively evaluated from multiple dimensions by collecting and analyzing the mail processing capability parameters and the mail safety performance parameters, so that the comprehensive efficiency of the mail management system in the running process is visually fed back; and a basis is provided for real-time monitoring and dynamic optimization of the system, so that the mail processing efficiency and the security protection capability are effectively improved.

The invention relates to a computer-implemented method and system for secure e-mail management, employing an indivisible sequence of interdependent modules, enabling automated downloading of messages and attachments via IMAP, POP3, proprietary or future-compatible protocols, authenticated through OAuth2 and mandatory multi-factor authentication (TOTP or FIDO2-compliant biometrics). Multi-layer integrity verification is performed prior to server deletion, using cryptographic checksums, error correction codes, and Merkle tree validation, generating immutable audit logs. The messages are stored locally in encrypted databases with hardware-bound keys managed by TPM, HSM, secure processor enclaves, or equivalents. Deletion is conditioned on multi-stage cryptographic verification and deletion tokens linked to audit logs; omission of any step invalidates the operation. Configurable grace periods with cross-device undo and an offline graphical interface are included, all inseparably integrated to ensure security, traceability and the technical compliance of the invention.

The system according to the embodiment aims to prevent missed responses to emails and delayed responses, and to achieve efficient email management. [Solution] A system according to an embodiment includes an analysis unit, an identification unit, a resending unit, and an unread return unit. The analysis unit analyzes the content of emails. The identification unit identifies emails that require a response or a response based on the content analyzed by the analysis unit. The resending unit automatically resends emails identified by the identification unit. The unread return unit automatically returns emails identified by the identification unit to unread.

The invention relates to the technical field of machine learning and electronic letter management, and discloses a machine learning-driven intelligent classification method and system for electronic letter attachments, and the method comprises the steps: obtaining original data streams of the electronic letter attachments, extracting business keywords through three-stage slicing, calculating a semantic concentration index, and obtaining semantic features; mapping to a semantic feature set space to generate a semantic fingerprint code; modeling a recognition algorithm to obtain a third-level region, extracting a structured feature set, and calculating association strength values to construct a fusion feature set; and extracting a context element set, calculating a total association strength value, and setting a hierarchical decision rule to construct a directed association set. The problems that in electronic letter attachment classification, unstructured attachment conversion is difficult, multi-mode understanding is insufficient, context association is weak, classification accuracy is low, and query efficiency is low are solved.

Methods, systems, and computer storage media for providing context-aware out-of-office (OOO) assistance using an email management engine. Context-aware OOO assistance supports email management operations that provide OOO functionality with artificial intelligence and context-awareness for email management during periods of unavailability. In operation, an email message is accessed. An email message category is determined for the email message. The email message category can be a scheduling meeting category, a requesting information category, or a task delegation category. Based on the email message category, a plurality of OOO operations associated with the email message category are executed. Based on executing the plurality of OOO operations associated with the email message category, a response for the email message is generated. The response is associated with one of the following: scheduling meeting data, requesting information data, or task delegation data. The response is communicated to cause display of the response on an email interface.

A method for detecting Arabic phishing emails includes connecting a log management solution to an email management solution that includes a spam repository and one or more emails. The spam repository includes one or more Indicators of Compromise (IoCs) that is digital information associated with a cyberattack. An IoC index of the log management solution is populated with the IoCs. The log management solution searches the emails using the IoC index and flags one or more potential phishing emails when an email matches an IoC in the IoC index. The log management solution assigns an authenticity score to each of the potential phishing emails and generates a potential phishing email report containing the potential phishing emails and the authenticity score assigned to each of the potential phishing emails. Based on the potential phishing email report, an assigned user performs one or more remediation actions.

This application provides an email management method, apparatus, storage medium, and program product. The method includes: upon receiving an email to be processed for a target object, performing feature extraction processing on the email to be processed to obtain first feature representation information of the email to be processed; determining a matching degree between the email to be processed and the target object based on the first feature representation information and second feature representation information of the target object; wherein the second feature representation information is obtained by performing feature extraction processing on emails included in a first email set associated with the target object; and performing management operations on the email to be processed according to the matching degree, the management operations including rejecting receipt or adding it to a corresponding email list. Using the method provided in this application, emails can be personalized according to the matching degree between the email to be processed and the target object, effectively improving the accuracy of email management.

Embodiments of this application provide an email management method and an electronic device, and relate to the field of computer technologies, so as to resolve a problem that reply emails cannot be checked in a timely manner and accurately. A specific solution is as follows: An electronic device sends a first email to email receiving devices, where the first email is an email configured with time limit information, and the time limit information is used to instruct the email receiving devices to provide a handling reminder for the first email; the electronic device receives reply emails to the first email from the email receiving devices.

A communication method for managing emails in a system comprising at least one email server and one email managing module, the at least one email server comprising an email space of a user for storing emails sent, received, and / or transferred by the user, the method, in the at least one email managing module, comprising: obtaining, from the at least one email server, at least one email comprising an email body and at least one attachment, the at least one obtained email complying with an email format of the Multipurpose Internet Mail Extensions, MIME, type, storing independently the email body of the at least one obtained email and the at least one attachment, and storing a link between the stored email body and the stored at least one attachment.

The invention belongs to the technical field of email processing, and discloses an email management method and system, computer equipment and a storage medium. The method comprises the steps of receiving a delivery task submitted by a terminal and storing in a database; initiating a task identifier allocation request to a mailbox system; receiving a mail identifier sent by a mailbox system, associating the mail identifier with the delivery task, and storing the associated mail identifier and the delivery task in a database; sending a delayed delivery request to a mailbox system, wherein the delayed delivery request is used for indicating the mailbox system to send a lightweight mail to a recipient associated with the delivery task; a group letter request sent by the mailbox system is received, the group letter request is sent to the delivery system when the mailbox system detects a mail access request initiated by a recipient, and the group letter request comprises a mail identifier; and retrieving a database according to the group letter request and the mail identifier, generating a complete mail, and sending the complete mail to a mailbox system. The occupation of network bandwidth resources can be reduced, and the requirement for storage space can be lowered.