CN110417647B - Mail processing method, device, computer equipment and storage medium - Google Patents
Mail processing method, device, computer equipment and storage medium Download PDFInfo
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- CN110417647B CN110417647B CN201910738672.5A CN201910738672A CN110417647B CN 110417647 B CN110417647 B CN 110417647B CN 201910738672 A CN201910738672 A CN 201910738672A CN 110417647 B CN110417647 B CN 110417647B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/107—Computer-aided management of electronic mailing [e-mailing]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/42—Mailbox-related aspects, e.g. synchronisation of mailboxes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/48—Message addressing, e.g. address format or anonymous messages, aliases
Abstract
The application provides a mail processing method, a mail processing device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring a mail to be forwarded; determining the similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values; and determining the forwarding address of the forwarded mail corresponding to the maximum similarity value in the similarity values as the forwarding address of the mail to be forwarded. The mail processing mode can improve the timeliness and the accuracy of mail processing and save the labor cost.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for processing a mail, a computer device, and a storage medium.
Background
Notes mailbox is a mailbox software provided by IBM for handling mail. Compared with the mailbox such as Outlook, the mail format in the Notes mailbox is special, the text of the Notes mailbox has a format mixed with a complete document attachment, and the background processing cannot be performed by using a common mail protocol. If the background interface of the Notes mailbox is used for background processing, the mail format is disordered. Additionally, the Notes mailbox also includes a supervisory system integrated into the Notes mailbox software. The supervision system is a system for task assignment, schedule management and processing result confirmation. The supervision system has no background interface and can only operate on a foreground interface.
Currently, mail received in public Notes mailboxes typically requires manual handling and distribution of the mail. Therefore, when receiving the mail, the staff will forward the mail to the specific handler, and then another supervision task needs to be created. And the progress of each task is uniformly managed and monitored through a supervising system. However, when mail in Notes public mailboxes is manually handled, the timeliness of handling is low because the number of mail is large; meanwhile, because the mail types are more, the error condition of mail forwarding is easy to occur.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a mail processing method, a mail processing device, computer equipment and a storage medium, and aims to solve the problem of low mail processing efficiency in the prior art.
The embodiment of the application provides a mail processing method, which comprises the following steps: acquiring a mail to be forwarded; determining the similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values; and determining the forwarding address of the forwarded mail corresponding to the maximum similarity value in the similarity values as the forwarding address of the mail to be forwarded.
In one embodiment, obtaining the mail to be forwarded includes: receiving a mail to be forwarded sent by a client; correspondingly, after determining the forwarding address of the forwarded email corresponding to the maximum similarity value in the similarity values as the forwarding address of the email to be forwarded, the method further includes: and sending the determined forwarding address to the client so that the client forwards the mail to be forwarded according to the determined forwarding address.
In one embodiment, after determining similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarding mail set, and obtaining a plurality of similarity values, the method further includes: acquiring supervision information of the forwarded mails corresponding to the maximum similarity value; and sending the supervision information to the client so that the client creates a supervision task for the mail to be forwarded according to the supervision information.
In one embodiment, determining similarity between an e-mail to be forwarded and a plurality of forwarded e-mails in a historical forwarding e-mail set to obtain a plurality of similarity values includes: generating a target vector matrix of the mail to be forwarded according to the mail to be forwarded and a preset dictionary base; and calculating the similarity between the target vector matrix and the vector matrices of the forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values.
In one embodiment, determining the forwarding address of the forwarded email corresponding to the maximum similarity value in the similarity values as the forwarding address of the email to be forwarded includes: determining a similarity value with a maximum value among the plurality of similarity values as a maximum similarity value; determining whether the maximum similarity value is greater than a preset threshold value; under the condition that the maximum similarity value is larger than a preset threshold value, acquiring a forwarding address of a forwarded mail corresponding to the maximum similarity value from a database; and determining the obtained forwarding address as the forwarding address of the mail to be forwarded.
In one embodiment, after determining whether the maximum similarity value is greater than the preset threshold, the method further includes: and under the condition that the maximum similarity value is not larger than the preset threshold value, generating notification information to notify workers to manually process the mail to be forwarded.
In one embodiment, after generating the notification message to notify the staff to manually process the mail to be forwarded, the method further comprises: acquiring a target forwarding address of a mail to be forwarded by a worker aiming at the mail to be forwarded and storing the target forwarding address into a database; updating a preset dictionary base according to the mail to be forwarded; and generating vector matrixes of a plurality of forwarded mails in the historical forwarding mail set and vector matrixes of the mails to be forwarded according to the updated dictionary library.
In one embodiment, before acquiring the mail to be forwarded, the method further includes: acquiring all forwarded mails in the historical forwarded mail set and forwarding mails corresponding to all forwarded mails, and storing information of all forwarded mails and forwarding addresses of all forwarded mails in a database; performing word segmentation processing on the information of each forwarded mail to obtain the information of each forwarded mail after word segmentation processing so as to generate a preset dictionary base; and generating a vector matrix of each forwarded mail according to a preset dictionary base and the information of each forwarded mail after word segmentation processing.
An embodiment of the present application further provides a mail processing apparatus, including: the acquisition module is used for acquiring the mail to be forwarded; the first determining module is used for determining the similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values; and the second determining module is used for determining the forwarding address of the forwarded mail corresponding to the maximum similarity value in the similarity values as the forwarding address of the mail to be forwarded.
The embodiment of the present application further provides a computer device, which includes a processor and a memory for storing processor-executable instructions, where the processor executes the instructions to implement the steps of the mail processing method described in any of the above embodiments.
Embodiments of the present application further provide a computer-readable storage medium, on which computer instructions are stored, and when executed, the instructions implement the steps of the mail processing method described in any of the above embodiments.
In the embodiment of the application, a mail processing method is provided, after a mail to be forwarded is obtained, the similarity between the mail to be forwarded and each forwarded mail in a history forwarded mail set is determined, a plurality of similarity values are obtained, and a forwarding address of the forwarded mail corresponding to the maximum similarity value in the similarity values is determined as the forwarding address of the mail to be forwarded. In the scheme, the similarity between the to-be-forwarded mails and the forwarded mails in the historical forwarding mail set is determined, and the forwarding address of the to-be-forwarded mail is determined according to the forwarded mail corresponding to the maximum similarity value, so that the automatic forwarding of the mail can be realized, the timeliness and the accuracy of mail processing are effectively improved, and the labor cost is saved. By means of the technical scheme, the technical problem that an existing mail processing mode is low in efficiency is solved, and the technical effects that the mail processing efficiency and the mail processing accuracy are effectively improved, and the labor cost is reduced are achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, are incorporated in and constitute a part of this application, and are not intended to limit the application. In the drawings:
fig. 1 is a schematic diagram illustrating an application scenario of a mail processing method in an embodiment of the present application;
FIG. 2 is a flow chart illustrating a mail processing method in an embodiment of the present application;
FIG. 3 is an interaction diagram illustrating a mail processing method in an embodiment of the present application;
FIG. 4 shows a schematic diagram of a mail processing apparatus in an embodiment of the present application;
fig. 5 shows a schematic diagram of a computer device in an embodiment of the application.
Detailed Description
The principles and spirit of the present application will be described with reference to a number of exemplary embodiments. It should be understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the present application, and are not intended to limit the scope of the present application in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present application may be embodied as a system, apparatus, device, method or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
Considering that the mails received by the existing Notes mailbox usually need to be manually processed and distributed, the timeliness is low and errors are easy to occur, the inventor finds that a knowledge base can be formed by recording the manual processing mode of each past mail, retrieves the processing mode from the historical knowledge base for the newly received mail, determines the historical processing mode of the historical mail with the maximum similarity as the processing mode of the newly received mail, and processes the newly received mail according to the processing mode, so that the efficiency and the accuracy of mail processing can be effectively improved, and the labor cost is saved.
Based on this, the embodiment of the application provides a mail processing method. Fig. 1 is a schematic diagram illustrating an application scenario of a mail processing method in an embodiment of the present application. Wherein, mailbox software can be installed in the client. The mailbox software can be provided with a supervision system. The client can send the mail to be forwarded to the server. After receiving the mails to be forwarded, the server determines the similarity between the mails to be forwarded and the forwarded mails in the historical forwarded mail set to obtain a plurality of similarity values. The server acquires the forwarding address and the supervision information of the forwarded mail corresponding to the maximum similarity value in the similarity values, and returns the acquired forwarding address and supervision information to the client. And after receiving the forwarding address and the supervision information, the client forwards the mail to be forwarded according to the forwarding address, and creates supervision information for the mail to be forwarded in the supervision system according to the supervision information. By the mode, automatic processing of the mails can be realized, mail processing efficiency can be effectively improved, and labor cost is saved.
The mail to be forwarded may be a newly received mail in a mailbox inbox installed in the client. The set of historical forwarding emails may be historical forwarding emails obtained from a mailbox outbox of the client. The history forwarding e-mail includes information of the forwarded e-mail (i.e. the original e-mail) and a forwarding address of the forwarded e-mail. The information of the forwarded mail may include, but is not limited to, at least one of the following: sender, receiver, copy-to-copy person, title, text, and attachment name. The forwarding address for forwarding the email may include, but is not limited to, at least one of: addressees, copy persons, secret delivery persons and the like. The supervisory information may include, but is not limited to, at least one of: supervising task executor information, supervising task information and the like.
The server may be a single server, a server cluster, or a cloud server, and the specific composition forms the present application without limitation. The client may be a desktop computer, a notebook, a mobile phone terminal, a PDA, etc., as long as the client is equipped with mailbox software and can display content and receive operation instructions to users or business personnel, and the present formation of the client is not limited in the present application.
The above application scenarios are merely illustrative and the present application is not limited thereto. In another application scenario, the similarity of each forwarded e-mail in the e-mail to be forwarded and the historical e-mail may be directly determined at the client, and the forwarding address of the forwarded e-mail corresponding to the maximum similarity value with the maximum similarity value may be used as the forwarding address of the e-mail to be forwarded.
Fig. 2 shows a flowchart of a mail processing method in an embodiment of the present application. Although the present application provides method operational steps or apparatus configurations as illustrated in the following examples or figures, more or fewer operational steps or modular units may be included in the methods or apparatus based on conventional or non-inventive efforts. In the case of steps or structures which do not logically have the necessary cause and effect relationship, the execution sequence of the steps or the module structure of the apparatus is not limited to the execution sequence or the module structure described in the embodiments and shown in the drawings of the present application. When the described method or module structure is applied in an actual device or end product, the method or module structure according to the embodiments or shown in the drawings can be executed sequentially or executed in parallel (for example, in a parallel processor or multi-thread processing environment, or even in a distributed processing environment).
Specifically, as shown in fig. 2, a mail processing method provided by an embodiment of the present application may include the following steps:
step S201, a to-be-forwarded mail is acquired.
The mail to be forwarded may be a newly received mail in the mailbox inbox. After the mail to be forwarded is acquired, the information in the mail to be forwarded can be extracted. The information of the mail to be forwarded may include, but is not limited to, at least one of the following: sender, receiver, copy-to-copy person, title, text, and attachment name.
Step S202, determining the similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarded mail set to obtain a plurality of similarity values.
Where the set of historical forwarded mail may be forwarded mail obtained from an outbox of the mailbox. Wherein, the forwarding mail contains the information of the original mail and the forwarding address of the forwarding mail. Wherein, the information of the original mail is the information of the forwarded mail. The similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarding mail set can be determined, and a plurality of similarity values are obtained.
Step 203, determining the forwarding address of the forwarded mail corresponding to the maximum similarity value in the similarity values as the forwarding address of the mail to be forwarded.
Specifically, the similarity value having the largest value among the plurality of similarity values is determined as the largest similarity value. And determining the forwarding address of the forwarded mail corresponding to the maximum similarity value as the forwarding address of the mail to be forwarded. Wherein the forwarding address may comprise at least one of: addressees, carbon copy persons and blind carbon copy persons. After the forwarding address is determined, the mail to be forwarded can be forwarded according to the forwarding address.
In the scheme, the similarity between the to-be-forwarded mails and the forwarded mails in the historical forwarding mail set is determined, and the forwarding address of the to-be-forwarded mail is determined according to the forwarded mail corresponding to the maximum similarity value, so that the automatic forwarding of the mail can be realized, the timeliness and the accuracy of mail processing are effectively improved, and the labor cost is saved. By means of the technical scheme, the technical problem that an existing mail processing mode is low in efficiency is solved, and the technical effects that the mail processing efficiency and the mail processing accuracy are effectively improved, and the labor cost is reduced are achieved.
In some embodiments of the present application, acquiring the to-be-forwarded email may include: receiving a mail to be forwarded sent by a client; correspondingly, after determining the forwarding address of the forwarded email corresponding to the maximum similarity value in the similarity values as the forwarding address of the email to be forwarded, the method further includes: and sending the determined forwarding address to the client so that the client forwards the mail to be forwarded according to the determined forwarding address.
Specifically, as shown in fig. 1, the server may receive an email to be forwarded sent by the client. The similarity between the mail to be forwarded and each of the plurality of forwarded mails in the historical forwarded mail set may be determined by the server. And then, the server acquires the forwarding address of the forwarded mail corresponding to the maximum similarity value in the similarity values and sends the acquired forwarding address to the client. After receiving the forwarding address, the client may forward the email to be forwarded according to the determined forwarding address. For example, RPA (robot Process Automation) software installed in the client may receive the forwarding address transmitted by the server. And the RPA software operates the mailbox in the client according to the determined forwarding address so as to forward the mail to be forwarded in the mailbox to the determined forwarding address. By the method, the mail to be forwarded can be automatically forwarded according to the determined forwarding address.
In some embodiments of the present application, after determining similarity between the to-be-forwarded email and a plurality of forwarded emails in the historical forwarding email set, and obtaining a plurality of similarity values, the method may further include: acquiring supervision information of the forwarded mails corresponding to the maximum similarity value; and sending the supervision information to the client so that the client creates a supervision task for the mail to be forwarded according to the supervision information.
After determining the similarity between the mail to be forwarded and each forwarded mail in a plurality of forwarded mails in the historical forwarded mail set, the server acquires supervision information of the forwarded mail corresponding to the maximum similarity value in the similarity values, and sends the acquired supervision information to the client. Wherein, the supervision information can include but is not limited to at least one of the following: supervisor information and supervisor task information. After the client receives the supervision information, a supervision task can be established for the mail to be forwarded in the supervision system according to the determined supervision information. For example, RPA software installed in the client may receive the supervision information sent by the server. And the RPA software operates the mailbox in the client according to the determined supervision information so as to create a supervision task for the mail to be forwarded in a supervision system of the mailbox. By the method, the supervision task can be automatically created for forwarding the mail to be forwarded in the supervision system according to the determined supervision information.
In some embodiments of the present application, determining similarity between an email to be forwarded and a plurality of forwarded emails in a historical forwarding email set to obtain a plurality of similarity values may include: generating a target vector matrix of the mail to be forwarded according to the mail to be forwarded and a preset dictionary base; and calculating the similarity between the target vector matrix and the vector matrices of the forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values.
After the mail to be forwarded is obtained, a target vector matrix of the mail to be forwarded can be generated according to the mail to be forwarded and a preset dictionary base. The preset dictionary library comprises a plurality of keywords and identification IDs of the keywords in the keywords. The method can perform word segmentation processing on the information of the mail to be forwarded and remove preset words. The preset words may include punctuation marks, conjunctions, auxiliary words, adverbs, prepositions, tenses, 'ones', numerics, direction words, pronouns, spaces, etc. The processed information of the mail to be forwarded comprises a plurality of target words. And generating a target vector matrix of the mail to be forwarded according to a preset dictionary base and the plurality of target words.
For example, the preset dictionary library is { 'lissajous': 0, 'Zhang III': 1, 'Zhao Lei': 2, 'working report': 3, 'technical': 4, 'on-site': 5, 'internet': 6}. The content in the quotation marks is a keyword, and the number after the colocation is the identification ID of the corresponding keyword. For example, the processed information of the mail to be forwarded includes a plurality of target words: 'Zhang three', 'work report', 'Process', 'technique'. The target vector matrix of the mail to be forwarded can be obtained as [ (1,1), (3,1), (4,1) ]. Wherein, the first number in the parentheses represents the identification ID of the keyword corresponding to the target word, and the second number represents the number of times of occurrence of the corresponding keyword. The dictionary database and the mail to be forwarded are both exemplary, and in practical application, a preset dictionary database can contain millions of keywords, and the mail to be forwarded contains a large number of target words.
After the target vector matrix of the mail to be forwarded is obtained, determining the similarity between the target vector matrix and the vector matrix of the forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values. And generating a vector matrix of each forwarded mail in the historical forwarding mail set according to a preset dictionary library. The similarity between the target vector matrix and the vector matrices of the multiple forwarded mails in the set of historical forwarded mails may be calculated by a variety of methods. For example, similarity between the target vector matrix and the vector matrix of each of the plurality of history mails in the database may be calculated using similarity tools in Gensim (generate similarity), so as to obtain a plurality of similarity values. By the method, the similarity between the mail to be forwarded and each forwarded mail in the historical forwarding mail set can be determined by calculating the similarity between the vector matrixes, and the calculation is convenient and simple.
In the above embodiments, the similarity between the mail to be forwarded and each forwarded mail in the historical forwarding mail set is calculated by converting the mail information into a vector matrix, which is merely exemplary, and the present application is not limited thereto. In other embodiments of the present application, the information of the to-be-forwarded mails and the information of each forwarded mail in the historical forwarding mail set may be matched to obtain the similarity between the to-be-forwarded mails and the historical forwarding mail set.
In some embodiments of the present application, determining a forwarding address of a forwarded email corresponding to a maximum similarity value in the similarity values as a forwarding address of an email to be forwarded may include: determining a similarity value with a maximum value among the plurality of similarity values as a maximum similarity value; determining whether the maximum similarity value is greater than a preset threshold value; under the condition that the maximum similarity value is larger than a preset threshold value, acquiring a forwarding address of a forwarded mail corresponding to the maximum similarity value from a database; and determining the obtained forwarding address as the forwarding address of the mail to be forwarded.
After determining the similarity between the to-be-forwarded mail and each forwarded mail in the historical forwarding mail set to obtain a plurality of similarity values, determining the similarity value with the largest value among the similarity values as the maximum similarity value. It is determined whether the maximum similarity value is greater than a preset threshold. And under the condition that the maximum similarity value is determined to be larger than the preset threshold value, acquiring the forwarding address of the forwarded mail corresponding to the maximum similarity value from the database, and determining the acquired forwarding address as the forwarding address of the mail to be forwarded. The preset threshold may be set according to actual conditions, and for example, may be set to 70%, 80%, 90%, and the like. In the above embodiment, only when it is determined that the maximum similarity value is greater than the preset threshold, the to-be-forwarded email is forwarded according to the forwarding address of the corresponding forwarded email in the historical forwarding email set, so that the accuracy of email processing can be improved.
Further, in some embodiments of the present application, after determining whether the maximum similarity value is greater than a preset threshold, the method may further include: and under the condition that the maximum similarity value is not larger than the preset threshold value, generating notification information to notify workers to manually process the mail to be forwarded.
In the event that it is determined that the maximum similarity value is not greater than the preset threshold, notification information may be generated. Wherein, the notification information may carry the identification information of the mail to be forwarded. After receiving the notification information, the staff may determine the mail to be forwarded that needs to be manually processed according to the identification information, and perform processing, for example, forwarding and/or creating supervision task information. In the scheme, the mails to be forwarded with the similarity not meeting the condition are processed in a manual mode, so that the accuracy of mail processing can be further improved, workers are timely notified to process the mails, and the efficiency of mail processing can be improved.
In some embodiments of the present application, after generating notification information to notify staff to manually process the mail to be forwarded, the method may further include: acquiring a target forwarding address of a mail to be forwarded by a worker aiming at the mail to be forwarded and storing the target forwarding address into a database; updating a preset dictionary base according to the mail to be forwarded; and generating vector matrixes of a plurality of forwarded mails in the historical forwarding mail set and vector matrixes of the mails to be forwarded according to the updated dictionary library.
For the mails to be forwarded with the similarity not meeting the condition, after manual processing, the knowledge base can be updated according to the mails to be forwarded and the manual processing mode thereof. Specifically, after the staff manually processes the mail to be forwarded, the server may obtain a forwarding address of the mail to be forwarded by the staff and supervision information of a supervision task created by the staff in the supervision system for the mail to be forwarded, and store the forwarding address and the supervision information in the database for subsequent mail processing. The server can update the preset dictionary base according to the mail to be forwarded. For example, the mail to be forwarded or the mail forwarded by the staff for the mail to be forwarded may be added to the historical forwarding mail set as the historical mail for the next mail processing. And generating a new dictionary base according to the forwarded mails in the updated historical forwarded mail set. After the new dictionary repository is generated, a vector matrix for each forwarded mail (including the mail to be forwarded) in the updated set of historical forwarded mails may be determined from the new dictionary repository. The server may store the new dictionary repository and the new vector matrix for use in subsequent processing of the mail. The method in the embodiment stores the information related to the manual processing mode of the mail, and dynamically updates the dictionary base and the vector matrix in real time according to the manually processed mail, so that the processing efficiency and accuracy of the subsequent mail can be further improved.
In some embodiments of the present application, before acquiring the mail to be forwarded, the method may include: acquiring all forwarded mails in the historical forwarded mail set and forwarding mails corresponding to all forwarded mails, and storing information of all forwarded mails and forwarding addresses of all forwarded mails in a database; performing word segmentation processing on the information of each forwarded mail to obtain the information of each forwarded mail after word segmentation processing so as to generate a preset dictionary base; and generating a vector matrix of each forwarded mail according to a preset dictionary base and the information of each forwarded mail after word segmentation processing.
Before the mail to be forwarded is obtained, a preset dictionary base and a vector matrix of each forwarded mail in the historical forwarding mail set can be generated. Specifically, each forwarded mail in the history forwarding mail set and a forwarding mail corresponding to each forwarded mail are obtained. The forwarding mail may be obtained from the outbox of the client mailbox. The forwarding e-mail carries information of the forwarding e-mail and information of the forwarded e-mail (i.e. the original e-mail). The information of each forwarded mail and the information of each forwarded mail may be stored in a database. And obtaining the information of each forwarded mail from the database. And performing word segmentation processing on the information of each forwarded mail, and removing preset words to obtain words contained in each forwarded mail. Wherein, the preset words may include but are not limited to: punctuation, conjunctions, auxiliary words, adverbs, prepositions, tenses,'s', numerics, orientational words, pronouns, spaces, and the like. For example, a dictionary base may be generated from words included in the forwarded mail information of each history mail using a corpora tool in Gensim, and the generated dictionary base may be stored. After the preset dictionary base is generated, the vector matrix of each forwarded mail can be generated according to the words contained in each forwarded mail and the preset dictionary base, and the generated vector matrix can be stored. Through the method, the preset dictionary base can be generated, and the vector matrix of each forwarded mail in the historical forwarded mail set can be generated according to the preset dictionary base.
The above method is described below with reference to a specific example, however, it should be noted that the specific example is only for better describing the present application and is not to be construed as limiting the present application.
Referring to fig. 3, an interaction diagram of a mail processing method in an embodiment of the present application is shown. As shown in fig. 3, mailbox and RPA software are installed in the client. The RPA software is a robot process automation software, is used for simulating the operation of a human keyboard and a human mouse, and can process the operation events of a computer desktop according to the pre-programmed steps. As shown in fig. 3, the mail processing method may include the steps of:
step 1, reading historical mail information and supervision information of all historical mails in a mailbox outbox by RPA software in a client, wherein the historical mail information comprises original mail information and a forwarding address, and the original mail information comprises at least one of the following information: the forwarding address comprises at least one of the following information such as the receiver, the sender, the transcription and sending person, the title, the text, the attachment name and the like of the original mail: the method comprises the following steps that information such as a receiver, a copying and sending person, a secret sending person and the like when the mail is forwarded is obtained, and supervision information comprises supervision task information and supervision person information;
step 2, the RPA software in the client sends the read historical mail information and supervision information to a server;
step 3, the server stores the original mail information, the forwarding address and the supervision information in the received historical mail information of each historical mail into a database;
step 4, the server reads the original mail information of each historical mail from the database, performs word segmentation processing on the read original mail information by using a word segmentation tool and removes word stopping, determines the words contained in the original mail information of each historical mail, generates a dictionary database according to the words contained in the original mail information of each historical mail by using a corepa tool in Gensim, and stores the generated dictionary database;
step 5, the server generates a vector matrix of each historical mail according to the generated dictionary base and words contained in the original mail information of each historical mail, and stores the generated vector matrix of each historical mail;
step 6, the RPA software in the client operates the mailbox to receive the mail and reads the information of the mail to be forwarded, wherein the information of the mail to be forwarded comprises at least one of the following: information such as a receiver, a sender, a title, a text, an attachment name and the like;
step 7, the RPA software in the client sends the read information of the mail to be forwarded to a server;
step 8, the server uses a word segmentation tool to perform word segmentation processing on the received mail information to be forwarded and remove stop words to obtain a plurality of target words included in the mail information to be forwarded, reads a dictionary base from the database, and generates a target vector matrix of the mail to be forwarded according to the dictionary base and the plurality of target words;
step 9, the server calculates the similarity between the target vector matrix and the vector matrix of each historical mail in the plurality of historical mails in the database by using a similarity tool in Gensim to obtain a plurality of similarity values;
step 10, the server determines whether the maximum similarity value in the similarity values is greater than a preset threshold value, if so, the step 11 to the step 13 are executed, otherwise, the step 14 to the step 18 are executed;
step 11, the server determines the identification information of the historical mail corresponding to the maximum similarity value, and obtains the forwarding address and supervision information of the corresponding historical mail from the database according to the identification information;
step 12, the server returns the obtained forwarding address and supervision information to the RPA software in the client;
step 13, the RPA software in the client operates the mailbox to forward the mail to be forwarded according to the obtained forwarding address, and establishes a supervision task for the mail to be forwarded in the supervision system according to the obtained supervision information;
step 14, generating notification information to notify staff to manually process the mail to be forwarded;
step 15, after the mail to be forwarded is manually processed, the RPA software in the client reads the forwarding address of the target forwarding mail forwarded by the staff aiming at the mail to be forwarded and the supervision information of the supervision task created by the staff aiming at the mail to be forwarded from the mailbox outbox;
step 16, the RPA software in the client sends the read forwarding address and supervision information to the server;
step 17, the server stores the received forwarding address and supervision information into a database;
and step 18, regarding the mail to be forwarded as a historical mail processed in the next round of mail processing, updating the dictionary base according to the information of the mail to be forwarded, then generating a vector matrix of each historical mail (including the mail to be forwarded) by using the updated dictionary base, and storing the updated dictionary base and the updated vector matrix of each historical mail.
In the mail processing method in the above embodiment, the RPA software is used to obtain the historical mail information and the supervision information of the historical mail, and send the read historical mail information and the supervision information to the server. The server can construct a mail processing knowledge base according to the historical mail information and the supervision information. For newly received mail, the server retrieves the processing mode from the historical knowledge base. And if the historical mails with the similarity exceeding the preset threshold are matched, the server acquires the historical processing records of the historical mails and sends the historical processing records to the RPA software, and the client automatically forwards the mails through the RPA software and establishes a supervision task. If the historical mails exceeding the threshold similarity are not matched, the server generates notification information to be processed manually. Meanwhile, the server acquires a mail processing mode of manual processing and updates the mail processing mode into the knowledge base in real time. According to the scheme, the efficiency and the accuracy of mail processing can be improved, the labor cost is saved, and the knowledge base is updated in real time after manual processing, so that the accuracy of mail processing can be further improved.
Based on the same inventive concept, the embodiment of the present application further provides a mail processing apparatus, as described in the following embodiments. Because the principle of solving the problem of the mail processing device is similar to the mail processing method, the implementation of the mail processing device can refer to the implementation of the mail processing method, and repeated details are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated. Fig. 4 is a block diagram of a structure of a mail processing apparatus according to an embodiment of the present application, as shown in fig. 4, including: an acquisition module 401, a first determination module 402, and a second determination module 403, the structure of which is described below.
The obtaining module 401 is configured to obtain the mail to be forwarded.
The first determining module 402 is configured to determine similarity between the to-be-forwarded email and a plurality of forwarded emails in the historical forwarding email set, so as to obtain a plurality of similarity values.
The second determining module 403 is configured to determine the forwarding address of the forwarded email corresponding to the maximum similarity value in the multiple similarity values as the forwarding address of the email to be forwarded.
In some embodiments of the present application, the obtaining module 401 may be specifically configured to: and receiving the mail to be forwarded sent by the client. Correspondingly, the apparatus may further include a forwarding module, and the forwarding module may be specifically configured to: after the forwarding address of the forwarded mail corresponding to the maximum similarity value in the similarity values is determined as the forwarding address of the mail to be forwarded, the determined forwarding address is sent to the client, so that the client forwards the mail to be forwarded according to the determined forwarding address.
In some embodiments of the present application, the apparatus may further include a supervision module, and the supervision module may be specifically configured to: after determining the similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarded mail set and obtaining a plurality of similarity values, acquiring supervision information of the forwarded mails corresponding to the maximum similarity value; and sending the supervision information to the client so that the client creates a supervision task for the mail to be forwarded according to the supervision information.
In some embodiments of the present application, the first determining module may be specifically configured to: generating a target vector matrix of the mail to be forwarded according to the mail to be forwarded and a preset dictionary base; and calculating the similarity between the target vector matrix and the vector matrices of the forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values.
In some embodiments of the present application, the second determining module may be specifically configured to: determining a similarity value with a maximum value among the plurality of similarity values as a maximum similarity value; determining whether the maximum similarity value is greater than a preset threshold value; under the condition that the maximum similarity value is larger than a preset threshold value, acquiring a forwarding address of a forwarded mail corresponding to the maximum similarity value from a database; and determining the obtained forwarding address as the forwarding address of the mail to be forwarded.
In some embodiments of the present application, after determining whether the maximum similarity value is greater than a preset threshold, the method may further include: and under the condition that the maximum similarity value is not larger than the preset threshold value, generating notification information to notify workers to manually process the mail to be forwarded.
In some embodiments of the present application, after generating notification information to notify staff to manually process the mail to be forwarded, the method may further include: acquiring a target forwarding address of a mail to be forwarded by a worker aiming at the mail to be forwarded and storing the target forwarding address into a database; updating a preset dictionary base according to the mail to be forwarded; and generating vector matrixes of a plurality of forwarded mails in the historical forwarding mail set and vector matrixes of the mails to be forwarded according to the updated dictionary library.
In some embodiments of the present application, the apparatus may further include a generating module, where the generating module may be specifically configured to: before the mails to be forwarded are obtained, obtaining all forwarded mails in a historical forwarding mail set and forwarding mails corresponding to all forwarded mails, and storing information of all forwarded mails and forwarding addresses of all forwarded mails in a database; performing word segmentation processing on the information of each forwarded mail to obtain the information of each forwarded mail after word segmentation processing so as to generate a preset dictionary base; and generating a vector matrix of each forwarded mail according to a preset dictionary base and the information of each forwarded mail after word segmentation processing.
From the above description, it can be seen that the embodiments of the present application achieve the following technical effects: the similarity between the to-be-forwarded mails and the forwarded mails in the historical forwarding mail set is determined, and the forwarding address of the to-be-forwarded mail is determined according to the forwarded mail corresponding to the maximum similarity value, so that the automatic forwarding of the mail can be realized, the timeliness and the accuracy of mail processing are effectively improved, and the labor cost is saved. By means of the technical scheme, the technical problem that an existing mail processing mode is low in efficiency is solved, and the technical effects that the mail processing efficiency and the mail processing accuracy are effectively improved, and the labor cost is reduced are achieved.
The embodiment of the present application further provides a computer device, which may specifically refer to a schematic structural diagram of a computer device based on the mail processing method provided in the embodiment of the present application shown in fig. 5, where the computer device may specifically include an input device 51, a processor 52, and a memory 53. Wherein the memory 53 is configured to store processor-executable instructions. The processor 52, when executing the instructions, performs the steps of the mail processing method described in any of the embodiments above.
In this embodiment, the input device may be one of the main apparatuses for information exchange between a user and a computer system. The input device may include a keyboard, a mouse, a camera, a scanner, a light pen, a handwriting input board, a voice input device, etc.; the input device is used to input raw data and a program for processing the data into the computer. The input device can also acquire and receive data transmitted by other modules, units and devices. The processor may be implemented in any suitable way. For example, the processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth. The memory may in particular be a memory device used in modern information technology for storing information. The memory may include multiple levels, and in a digital system, the memory may be any memory as long as it can store binary data; in an integrated circuit, a circuit without a physical form and with a storage function is also called a memory, such as a RAM, a FIFO and the like; in the system, the storage device in physical form is also called a memory, such as a memory bank, a TF card and the like.
In this embodiment, the functions and effects of the specific implementation of the computer device can be explained in comparison with other embodiments, and are not described herein again.
The embodiment of the present application further provides a computer storage medium based on a mail processing method, where the computer storage medium stores computer program instructions, and the computer program instructions, when executed, implement the steps of the mail processing method in any of the above embodiments.
In this embodiment, the storage medium includes, but is not limited to, a Random Access Memory (RAM), a Read-Only Memory (ROM), a Cache (Cache), a Hard Disk Drive (HDD), or a Memory Card (Memory Card). The memory may be used to store computer program instructions. The network communication unit may be an interface for performing network connection communication, which is set in accordance with a standard prescribed by a communication protocol.
In this embodiment, the functions and effects specifically realized by the program instructions stored in the computer storage medium can be explained by comparing with other embodiments, and are not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the present application described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different from that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.
It is to be understood that the above description is intended to be illustrative, and not restrictive. Many embodiments and many applications other than the examples provided will be apparent to those of skill in the art upon reading the above description. The scope of the application should, therefore, be determined not with reference to the above description, but instead should be determined with reference to the pending claims along with the full scope of equivalents to which such claims are entitled.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and it will be apparent to those skilled in the art that various modifications and variations can be made in the embodiment of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method for processing mail, comprising:
acquiring a mail to be forwarded;
determining the similarity between the mail to be forwarded and a plurality of forwarded mails in a historical forwarding mail set to obtain a plurality of similarity values;
determining the forwarding address of the forwarded mail corresponding to the maximum similarity value in the similarity values as the forwarding address of the mail to be forwarded;
after determining the similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values, the method further comprises the following steps:
acquiring supervision information of the forwarded mails corresponding to the maximum similarity value;
and sending the supervision information to a client so that the client creates a supervision task for the mail to be forwarded according to the supervision information.
2. The method of claim 1, wherein obtaining the mail to be forwarded comprises:
receiving a mail to be forwarded sent by a client;
correspondingly, after determining the forwarding address of the forwarded email corresponding to the maximum similarity value in the similarity values as the forwarding address of the email to be forwarded, the method further includes:
and sending the determined forwarding address to the client so that the client forwards the mail to be forwarded according to the determined forwarding address.
3. The method of claim 1, wherein determining similarity between the to-be-forwarded mail and a plurality of forwarded mails in a set of historical forwarded mails to obtain a plurality of similarity values comprises:
generating a target vector matrix of the mail to be forwarded according to the mail to be forwarded and a preset dictionary library;
and calculating the similarity between the target vector matrix and the vector matrices of the plurality of forwarded mails in the historical forwarded mail set to obtain a plurality of similarity values.
4. The method of claim 3, wherein determining the forwarding address of the forwarded e-mail corresponding to the maximum similarity value in the similarity values as the forwarding address of the e-mail to be forwarded comprises:
determining a similarity value with a maximum value among the plurality of similarity values as a maximum similarity value;
determining whether the maximum similarity value is greater than a preset threshold value;
under the condition that the maximum similarity value is determined to be larger than a preset threshold value, acquiring a forwarding address of a forwarded mail corresponding to the maximum similarity value from a database;
and determining the obtained forwarding address as the forwarding address of the mail to be forwarded.
5. The method of claim 4, after determining whether the maximum similarity value is greater than a preset threshold, further comprising:
and generating notification information to notify manual processing of the mail to be forwarded under the condition that the maximum similarity value is not larger than a preset threshold value.
6. The method of claim 5, further comprising, after generating notification information to notify a human to process the to-be-forwarded mail:
acquiring a target forwarding address of the mail forwarded aiming at the mail to be forwarded and storing the target forwarding address into a database;
updating the preset dictionary base according to the mail to be forwarded;
and generating vector matrixes of a plurality of forwarded mails in the historical forwarding mail set and vector matrixes of the mails to be forwarded according to the updated dictionary library.
7. The method of claim 3, further comprising, before obtaining the mail to be forwarded:
acquiring each forwarded mail in a historical forwarding mail set and forwarding mails corresponding to each forwarded mail, and storing information of each forwarded mail and forwarding addresses of each forwarded mail in a database;
performing word segmentation processing on the information of each forwarded mail to obtain the information of each forwarded mail after word segmentation processing so as to generate a preset dictionary base;
and generating a vector matrix of each forwarded mail according to the preset dictionary base and the information of each forwarded mail after word segmentation processing.
8. A mail processing apparatus, comprising:
the acquisition module is used for acquiring the mail to be forwarded;
the first determining module is used for determining the similarity between the mail to be forwarded and a plurality of forwarded mails in the historical forwarding mail set to obtain a plurality of similarity values;
a second determining module, configured to determine, as the forwarding address of the to-be-forwarded email, a forwarding address of the to-be-forwarded email corresponding to a maximum similarity value among the multiple similarity values;
the sending module is used for obtaining supervision information of the forwarded mails corresponding to the maximum similarity value after determining the similarity between the to-be-forwarded mails and a plurality of forwarded mails in a historical forwarded mail set to obtain a plurality of similarity values; and sending the supervision information to a client so that the client creates a supervision task for the mail to be forwarded according to the supervision information.
9. A computer device comprising a processor and a memory for storing processor-executable instructions which, when executed by the processor, implement the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium having computer instructions stored thereon which, when executed, implement the steps of the method of any one of claims 1 to 7.
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Families Citing this family (4)
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| CN110968006B (en) * | 2019-12-13 | 2021-04-13 | 杭州今元标矩科技有限公司 | RPA robot control system and method based on mail system |
| CN111371673A (en) * | 2020-02-26 | 2020-07-03 | 中国工商银行股份有限公司 | Notes mail automatic processing method and device |
| CN113157729A (en) * | 2021-04-23 | 2021-07-23 | 中国工商银行股份有限公司 | Batch mail automatic processing method and device |
| CN115589393A (en) * | 2022-09-27 | 2023-01-10 | 中国工商银行股份有限公司 | Mail processing method and device, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009163393A (en) * | 2007-12-28 | 2009-07-23 | Canon It Solutions Inc | Information processor, information processing method, and program |
| CN101616102A (en) * | 2008-06-27 | 2009-12-30 | 国际商业机器公司 | Automatically creating contact group and suggesting E-mail send the method and apparatus of tabulation |
| CN108959568A (en) * | 2018-07-04 | 2018-12-07 | 重庆华龙网海数科技有限公司 | Intelligent file dissemination system and distribution method |
| CN109189883A (en) * | 2018-08-09 | 2019-01-11 | 中国银行股份有限公司 | A kind of intelligent distributing method and device of electronic document |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150067833A1 (en) * | 2013-08-30 | 2015-03-05 | Narasimha Shashidhar | Automatic phishing email detection based on natural language processing techniques |
| CN103888469A (en) * | 2014-04-01 | 2014-06-25 | 南威软件股份有限公司 | Automatic receiving method of files to be examined and approved |
| CN106600222A (en) * | 2016-12-09 | 2017-04-26 | 武汉中瀚科技有限公司 | Mobile office information processing system and method |
-
2019
- 2019-08-12 CN CN201910738672.5A patent/CN110417647B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009163393A (en) * | 2007-12-28 | 2009-07-23 | Canon It Solutions Inc | Information processor, information processing method, and program |
| CN101616102A (en) * | 2008-06-27 | 2009-12-30 | 国际商业机器公司 | Automatically creating contact group and suggesting E-mail send the method and apparatus of tabulation |
| CN108959568A (en) * | 2018-07-04 | 2018-12-07 | 重庆华龙网海数科技有限公司 | Intelligent file dissemination system and distribution method |
| CN109189883A (en) * | 2018-08-09 | 2019-01-11 | 中国银行股份有限公司 | A kind of intelligent distributing method and device of electronic document |
Non-Patent Citations (2)
| Title |
|---|
| "Email Analytics for Activity Management and Insight Discovery";Lipika Dey，等;《2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)》;20131223;第557-564页 * |
| "基于Domino/Notes的办公自动化系统设计与实现";李佳;《中国优秀硕士学位论文全文数据库信息科技辑》;20100115;I138-206 * |
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