KR102366641B1 - System and Method for Automatically Transmitting Mass E-Mail using an Unlimited Natural Language Generation - Google Patents

Abstract

The present invention provides a mass email automatic transmission system capable of delivering email information created by combining the subject and body content with different types of senders and links through natural language generation made in different types of infinite combinations to multiple recipients, and a system and the same In order to provide a method, a task scheduler that performs a task of a predetermined scheduler in the window background for a certain period of time, and at least one sub-topic tab required for sending an email SMTP using natural languages made in infinite combinations of different types are combined with each other an e-mail combining unit that constructs an aggregation tab to generate an outgoing e-mail; It may include a sending processing unit that calls the list generated by the list generating unit and performs automatic mass email transmission by email SMTP.

Description

System and Method for Automatically Transmitting Mass E-Mail using an Unlimited Natural Language Generation

The present invention relates to a large-capacity automatic e-mail transmission system and method, and more particularly, to e-mail information created by combining subject and body content with different types of senders and links through natural language generation made in different forms of infinite combinations. It relates to a system and method for automatically sending bulk emails that can be delivered to a plurality of recipients.

Marketing using e-mail is rapidly increasing due to the daily use of various communication methods, and as the damage caused by advertising e-mails that are unilaterally transmitted regardless of the recipient's intentions, that is, spam e-mails, increases, various research and policy restrictions for filtering such spam e-mails this is being done

Various e-mail service providers have introduced these spam e-mail filtering technologies and policies to block e-mails that are judged to be spam e-mails, thereby increasing subscriber satisfaction and reducing unnecessary load. It is difficult to completely distinguish whether it is a spam email or a normal email that the recipient should receive.

Therefore, even for normal mail for which the recipient's consent has been obtained, there may be cases in which mail is blocked by the spam mail blocking policy. For example, regular e-mails or coupon e-mails sent by large Internet shopping malls to members who have agreed to receive e-mails may be blocked and the recipient may not receive them, and work-related newsletters or academic newsletters, etc. There may be cases where you do not receive it.

However, large portals or professional hosting companies that provide e-mail services apply various anti-spam rules and policies, and in order to prevent spam senders from disclosing spam e-mail rules and policies, they do not disclose and block the contents. Because rules and policies are also variable, the number of cases in which normal mass email delivery fails to send is increasing. The failure to send such normal e-mail is a growing problem in that it limits the legitimate rights of the recipient.

The existing Korean Patent Laid-Open Publication No. 10-2002-0029526, 'A method and system for high-speed transmission of bulk e-mails', for mass e-mail transmission, separates and indexes broadcast e-mails from individual e-mails, and then sends multiple e-mails. Disclosed is a technique for sending a large number of e-mails at high speed by activating agents in parallel to perform e-mail sending tasks.

In addition, Korean Patent Application Laid-Open No. 10-2003-0017702, 'Mail Processing System' also discloses a distributed processing method for sending a large amount of e-mail, increasing the load and processing speed of the process of authenticating a user for sending such mass mail. In order to solve the decrease, a technique for reducing the authentication load by applying a hash algorithm to simplify user authentication and search operations to reduce the mail sending processing time is disclosed.

Until the spam policy was strengthened, there was more interest in the sending speed than in the success rate, so distributed sending processing to increase the number of messages sent per hour was mainly studied. There is currently no way to do it.

Recently, research has been started to increase the success rate of mail delivery rather than high-speed sending or quick sending, but an appropriate solution has not yet been proposed. For example, there is a method of sending bulk emails by setting a fixed sending rule that takes into account the spam blocking rules, and collecting and re-sending only the emails that failed to be sent. Even if it is sent again, the effect of improving the success rate is insignificant because the sending of the email again will fail due to the spam blocking policy.

In the end, in order to increase the sending success rate, it is important to apply an extremely low-level sending rule to prevent spam email blocking as much as possible, or to request to unblock it through a separate method if it is blocked as spam email. There are problems that the delivery speed is low or the management cost is high.

Therefore, in the case of normal mass mail, a new mass mail sending system and method that can automatically and optimally avoid spam mail blocking policy and send to recipients are required.

The present invention has been devised to solve the above problems, and it is possible to provide a plurality of e-mail information created by combining the subject, the content of the body, and the different types of senders and links through natural language generation made in different forms of infinite combinations. An object of the present invention is to provide a system and method for automatically sending bulk emails that can be delivered to a recipient.

The present invention is an Excel VBA (Visual Basic for application) file, which, when you want to send mass mail legally, is not excluded from an unpredictable spam filter. It is an object of the present invention to provide a mass email automatic transmission system and method that can deliver email information created by combining different types of senders and links to all recipients.

The objects of the present invention are not limited to the above-mentioned objects, and other objects and advantages of the present invention not mentioned may be understood by the following description, and will be more clearly understood by the examples of the present invention. It will also be readily apparent that the objects and advantages of the present invention may be realized by the means and combinations thereof indicated in the appended claims.

In order to achieve the above object, the feature of the mass email automatic transmission system through unlimited natural language generation according to the present invention is a task scheduler that performs a task of a predetermined scheduler in the window background for a certain period of time, and an infinite combination of different types. Using the created natural language, at least one sub-topic tabs required for SMTP transmission are combined with each other to construct an aggregation tab to create an outgoing email, and an email SMTP transmission is performed based on the aggregation tab built in the email combiner. It may include a list generating unit for generating an unlimited spam avoidance list for the purpose, and a sending processing unit for performing automatic mass e-mail transmission by e-mail SMTP by calling the list generated by the list generating unit by the scheduler.

Preferably, the e-mail combining unit initializes program variable values, a pre-processing management unit for managing duplicated transmitted duplicate IDs and rejected receiving refusal IDs, and at least one or more sub-subject tabs required for e-mail SMTP transmission corresponding to the built-up aggregation tab. A combination comprising a region classification unit for classifying by region, a recombination processing unit for recombining each sub-topic taps by circulating and changing the natural language stored in advance for each region of each category, and the recombined sub-topic tabs It may include a reconstruction processing unit that assembles the statements and reconfigures them into an aggregation tab.

Preferably, the reconstruction processing unit matches the combination sentences included in the reconstructed aggregation tab until all of the .csv files including the recipient ID are processed in the pre-stored csv folder or until the upper limit of the total number of transmission IDs is reached. can be built

The feature of the automatic mass email transmission method through unrestricted natural language generation according to the present invention for achieving the above object is (A) using a pre-processing management unit to secure a recipient ID using a crawling program or a previously secured csv list file, , saving it in the csv folder in the form of a csv file, (B) using the scheduler function included in the window system using the task scheduler, and calling the received email stored in the csv folder at regular intervals, ( C) Whenever the received e-mail is called, the recipient ID file stored in the csv folder is read, and at least one or more sub-topic tabs required for SMTP transmission of the e-mail corresponding to the aggregation tab are stored in advance using the e-mail combiner. The steps of recombining each other using natural language samples to build a collection tab, and (D) until all .csv files including recipient IDs are processed in the csv folder stored in advance using the reconstruction processing unit or the total number of transmission IDs Building by matching with the combination sentences included in the reconstructed aggregation tab until the upper limit is reached, and (E) generating an unlimited spam avoidance list for e-mail SMTP transmission based on the constructed aggregation tab using the list generator and (F) calling the created list by a pre-designated scheduler using the sending processing unit to automatically send mass emails by email SMTP.

Preferably, the step (C) includes using a region classification unit to classify at least one sub-topic tabs necessary for sending at least one e-mail SMTP transmission corresponding to a collection tab by region, and using the recombination processing unit to divide the classified sub-topic tabs into each category. It may include the steps of recombining each sub-topic taps by circulating and changing the conversion in natural language stored in advance for each region, and reconstructing into a combined tab by using a reconstruction processing unit to assemble a combination sentence including the recombined sub-topic taps. there is.

As described above, the automatic mass e-mail transmission system and method through unrestricted natural language generation according to the present invention have the following effects.

First, by utilizing the e-mail information created by combining the subject and body content with the different types of senders and links through natural language generation made in different forms of infinite combinations, to achieve a high sending success rate even for mass e-mail sending. has the effect of In particular, it can be sent to the recipient while avoiding the spam mail blocking policy to an optimal level.

Second, there is an effect that spam mail can be used as normal advertisement information without having to shut down the spam mail for the sending company of the spam mail, so that the spam mail can be used as a means of generating new profits.

In addition to the above-described effects, the specific effects of the present invention will be described together while describing specific details for carrying out the invention below.

1 is a block diagram showing the configuration of an automatic mass email transmission system through unrestricted natural language generation according to an embodiment of the present invention.
FIG. 2 is a configuration diagram showing the configuration of the email coupling unit of FIG. 1 in detail.
3 and 4 are diagrams illustrating samples of natural language stored in advance for an email subject area (Sub) among sub-topic tabs classified by the recombination processing unit of FIG. 2 .
5(a)(b)(c) are diagrams for explaining a configuration of constructing a new aggregation tab by combining sub-subject tabs required for SMTP transmission of an email in the email combining unit of FIG. 1 .
6 is a flowchart illustrating a method for automatically sending mass emails through unrestricted natural language generation according to an embodiment of the present invention.

Other objects, characteristics and advantages of the present invention will become apparent from a detailed description of the embodiments with reference to the accompanying drawings.

The terms used in the present invention have been selected as currently widely used general terms as possible while considering the functions in the present invention, but these may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term.

In the entire specification, when a part "includes" a certain element, this means that other elements may be further included, rather than excluding other elements, unless otherwise stated. In addition, terms such as "...unit" and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software. .

A preferred embodiment of a mass email automatic transmission system and method through unrestricted natural language generation according to the present invention will be described with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only this embodiment completes the disclosure of the present invention and completes the scope of the invention to those of ordinary skill in the art. It is provided to inform you. Therefore, the configuration shown in the embodiments and drawings described in this specification is only the most preferred embodiment of the present invention and does not represent all of the technical idea of the present invention, so various equivalents that can be substituted for them at the time of the present application It should be understood that there may be water and variations.

In the following, when it is described that a component is "connected", "coupled" or "connected" to another component, the components may be directly connected or connected to each other, but other components are "connected" between each component. It should be understood that each component may be “interposed” or “connected”, “coupled” or “connected” through another component.

1 is a block diagram showing the configuration of an automatic mass email transmission system through unrestricted natural language generation according to an embodiment of the present invention. The mass email automatic transmission system through unrestricted natural language generation shown in Fig. 1 is according to an embodiment, and its components are not limited to the embodiment shown in Fig. 1, and some components are added or changed as necessary. Or it can be deleted.

As shown in FIG. 1 , the automatic mass email transmission system through unrestricted natural language generation of the present invention includes a task scheduler 100 , an email combining unit 200 , a list generating unit 300 , and a sending processing unit 400 . ) may be included.

The task scheduler 100 performs a task of a predetermined scheduler in the window background for a predetermined time. That is, the task scheduler 100 may perform automatic mass e-mail transmission by SMTP (Simple Mail Transfer Protocol) by calling received e-mails stored in a certain period of a specific day and a specific time zone by a pre-designated scheduler.

For example, according to the scheduler, the task scheduler 100 calls 3 times per hour for 20 minutes per hour from 10 am to 2 pm, 3 pm to 6 pm, and 9 pm to midnight to automatically send bulk emails according to the scheduler. It is performed automatically with infinite repetition.

In this case, the task scheduler 100 may be an automation tool that is an external program that can be purchased.

The e-mail combining unit 200 uses a natural language created in different forms of infinite combinations to include the address (ID, tail), subject, body content, link, and the like of the e-mail to be sent, at least one sub-subject required for SMTP transmission of e-mail. By combining tabs with each other to build aggregation tabs, different types of outgoing emails are created.

FIG. 2 is a configuration diagram showing the configuration of the email coupling unit of FIG. 1 in detail.

As shown in FIG. 2 , the email combiner 200 may include a preprocessing manager 210 , a region classification unit 220 , a recombination processing unit 230 , and a reconfiguration processing unit 240 .

The pre-processing management unit 210 initializes program variable values and manages duplicated transmitted IDs and rejected reception rejected IDs. That is, the pre-processing management unit 210 may delete the duplicated transmitted duplicate ID and rejection ID from the csv folder.

In this way, the pre-processing management unit 210 manages duplicate IDs and rejection IDs, and configures it to minimize discomfort to the recipient, so that transmission problems occurring in various forms can be analyzed and countermeasures can be devised according to the cause. , marketing, etc. have an effect that can be usefully used.

The region classification unit 220 classifies sub-topic tabs required for SMTP transmission of an email including an address (ID, tail), a title, content of a body, a link, and the like of an outgoing email corresponding to the collection tab (Sheet1) by region.

In this case, the regions of the sub-topic tab classified by the region classification unit 220 include the email subject area (Sub), the email body area (Con), the clickable link area included in the email (Link), and the email body greeting area (Bye). ), an area for the rejection link at the end of the email (Opt), an area for a KakaoTalk link or banner link (Ban), an area 1 for special characters (Zz), and an area 2 for special characters (Yy). .

The recombination processing unit 230 circulates and changes the sub-topic taps classified by the region classifying unit 220 to the natural language pre-stored for each region of each category, and recombines each sub-topic tap. In this case, each sub-topic tab to be recombined is an infinite combination of e-mail information created by combining natural languages made in different forms, and a plurality of combination sentences may be generated.

For reference, the user must first set the initial value of each category, and from then on, a combination sentence can be created using a combination of natural languages stored in advance for each area of each category.

3 and 4 are diagrams illustrating samples of natural language stored in advance for an email subject area (Sub) among sub-topic tabs classified by the recombination processing unit of FIG. 2 .

First, referring to FIG. 3 , the recombination processing unit 230 selects one from column A while moving the natural language stored in the first subject area (Sub1) of the email from left to right from A to G, By selecting one from column B, and selecting one from each column in this way, the combination proceeds to column E and combines natural languages to create a combination sentence.

At this time, the first category (A) is set to 13 stored natural language samples, the second category (B) is set to 4 stored natural language samples, and the third category (C) is the stored natural language sample. 11 are set, 19 are set as stored natural language samples in the fourth category (D), and 10 are set as stored natural language samples in the fifth category (E).

According to this natural language sample, when natural language is combined in the first subject area (Sub1) of the email from column A to column E, a total of 12x4x11x19x10=100,320 natural language combinations can be generated.

In addition, as shown in FIG. 4 , if it is assumed that the second title area Sub2 having a sentence structure of a slightly different form from that of the first title area Sub1 is cycled together, the number of possible combinations of sentences is the second It is possible to create a natural language combination sentence by adding the number of 100,320 compound sentences that can be made by the first subject area (Sub1) to hundreds of thousands of compound sentences that can be made by the second subject area (Sub2).

Therefore, any type of spam filter approaching from the point of view of duplication as a spam mail blocking policy will not be able to regard the combination sentences generated in this system as duplicates. This can be designed so that different types of e-mails can be sent to each recipient.

The reconfiguration processing unit 240 assembles the combination sentences including the sub-topic tabs recombined in the recombination processing unit 230 and reconstructs them into a collection tab (Sheet1). In this case, the reconfigured aggregation tab may include a plurality of combination sentences.

And the reconstruction processing unit 240 until all the .csv files including the recipient ID in the pre-stored csv folder are processed or until the upper limit of the total number of transmission IDs is reached. Included in the reconstructed collection tab (Sheet1) It is constructed by matching 1:1 with the combination statement. That is, the list of recipient information stored in the csv folder is read, and a new collection tab (Sheet1) is constructed by matching it with the newly reconstructed combination sentence by the total number of recipient IDs.

At this time, the csv folder is secured by a web crawling program (purchasable external program) through the pre-processing management unit 210, or by using CSC (Consumer Software Customization) list files secured as an existing customer to secure the recipient's email ID and , it can be created as a csv folder by continuously saving the csv file including the secured ID in a specific folder.

Meanwhile, the 1:1 matching is only an example, and is not limited thereto. That is, according to one outgoing e-mail, it is possible to match the total number of e-mails that can be sent to the recipient while avoiding the spam e-mail blocking policy at an optimal level.

Through this configuration, the e-mail combining unit 200 may combine sub-subject tabs required for e-mail SMTP transmission to construct a new aggregation tab to generate different types of e-mails to be transmitted.

5(a)(b)(c) are diagrams for explaining a configuration of constructing a new aggregation tab by combining sub-subject tabs necessary for sending an email SMTP in the email combining unit of FIG. 1 .

As shown in Figure 5 (a) (b) (c), the e-mail combining unit 200, if the received e-mail is called at regular time intervals according to a pre-specified scheduler, through the recombination processing unit 230, Sub-topic tabs are cycled by category to create natural language combinations.

That is, as shown in FIG. 5( a ), in the collection tab Sheet1, a combination of sub-topic tabs Sub1+Con3+Link2+Opt2 creates a combination sentence. And, as shown in FIG. 5(b), through the recombination processing unit 230, the sub-topic tabs are cycled by category to Sub1->Sub2, Con3->Con1, Link2->Link3, Opt2->Opt3 can be changed to

Then, as shown in FIG. 5( c ), through the reconstruction processing unit 240 , the combination sentences including the recombined sub-topic tabs are collected and reconfigured into a collection tab (Sheet1). At this time, the reconstructed collection tab (Sheet1) is a combination of the existing Sub1+Con3+Link2+Opt2 combination and Sub2+Con1+Link3+Opt3 to create a combination statement.

And the reconfiguration processing unit 240 builds by 1:1 matching the .csv file including the recipient ID in the pre-stored csv folder with the combination sentence included in the reconstructed collection tab (Sheet1) to create different types of transmission emails do.

The list generating unit 300 may generate an unlimited spam avoidance list for e-mail SMTP transmission based on the new collection tab (Sheet1) built in the reconstruction processing unit 240 .

The sending processing unit 400 calls the list created in the list generating unit 300 by a scheduler previously designated by the job scheduler 100 to automatically transmit mass emails by email SMTP. In this case, the sending processing unit 400 may set and perform an automated function capable of automatically transmitting to the recipient ID included in the sending list using an automation tool.

For example, the sending processing unit 400 automatically transmits bulk emails using the cloud (Ndrive, dropbox, Gdrive), and automatically sends bulk emails by EDM (Email Direct Marketing), and bulk emails by SMTP (Simple Mail Transfer Protocol). Automatic transmission, automatic transmission of bulk texts using SMS (Short Message Service), and automatic transmission of mass emails using audience networks in SNS (Social Network Service/Sites) such as Instagram/YouTube/Facebook/Kakao can be done

The operation of the mass email automatic transmission system through unrestricted natural language generation according to the present invention configured as described above will be described in detail with reference to the accompanying drawings. The same reference numerals as in FIG. 1 or FIG. 2 refer to the same members performing the same functions.

6 is a flowchart illustrating a method for automatically sending mass emails through unrestricted natural language generation according to an embodiment of the present invention.

6, first, the email combining unit 200 uses the preprocessing management unit 210 to obtain a recipient ID using a crawling program or a previously secured csv list file, and stores it in the csv folder in the form of a csv file. Continue to save (S10).

Then, using the scheduler function included in the window system using the task scheduler 100, the received e-mail stored in the csv folder is called at regular intervals (S20).

The task scheduler 100 reads a certain number of recipient ID files stored in the csv folder whenever an incoming email is called, and uses the email combining unit 200 to address the sending email corresponding to the collection tab (Sheet1). A collection tab (Sheet1) is constructed by recombining each other using natural language samples that are pre-stored in sub-topic tabs required for e-mail SMTP transmission including (ID, tail), subject, body content, and links (S30).

The step S30 will be described in more detail as follows.

First, by using the area classification unit 220, the sub-topic tabs required for SMTP transmission of an e-mail including the address (ID, tail), subject, body content, link, etc. of the outgoing e-mail corresponding to the collection tab (Sheet1) are classified by area. do.

In this case, the regions of the sub-topic tab classified by the region classification unit 220 include the email subject area (Sub), the email body area (Con), the clickable link area included in the email (Link), and the email body greeting area (Bye). ), an area for the rejection link at the end of the email (Opt), an area for a KakaoTalk link or banner link (Ban), an area 1 for special characters (Zz), and an area 2 for special characters (Yy). .

Then, using the recombination processing unit 230, the classified sub-topic taps are recombined by circulating and changing the natural language pre-stored for each area of each category. In this case, each sub-topic tab to be recombined is an infinite combination of e-mail information created by combining natural languages made in different forms, and a plurality of combination sentences may be generated.

Then, by using the reconstruction processing unit 240, the combination sentences including the recombined sub-topic tabs are collected and reconfigured into a collection tab (Sheet1). In this case, the reconfigured aggregation tab may include a plurality of combination sentences.

When the collection tab (Sheet1) necessary for e-mail SMTP transmission is built in this way (S30), the e-mail combining unit 200 processes all the .csv files including the recipient ID in the pre-stored csv folder using the reconfiguration processing unit 240. Until the upper limit of the total number of transmission IDs is reached or by 1:1 matching with the combination sentence included in the reconstructed collection tab (Sheet1), different types of transmission emails are generated (S40).

That is, the list of recipient information stored in the csv folder is read, and a new collection tab (Sheet1) is constructed by matching it with the newly reconstructed combination sentence by the total number of recipient IDs.

And, using the list generator 300, it is possible to create an unlimited spam avoidance list for e-mail SMTP transmission based on the new collection tab (Sheet1) built in the reconstruction processing unit 240 (S50).

Next, the generated list is called by a scheduler designated in advance by the task scheduler 100 using the sending processing unit 400 to automatically transmit mass emails by email SMTP (S60).

In this case, the sending processing unit 400 may set and perform an automated function capable of automatically transmitting to the recipient ID included in the sending list using an automation tool.

For example, the sending processing unit 400 automatically transmits bulk emails using the cloud (Ndrive, dropbox, Gdrive), and automatically sends bulk emails by EDM (Email Direct Marketing), and bulk emails by SMTP (Simple Mail Transfer Protocol). Automatic transmission, automatic transmission of bulk texts using SMS (Short Message Service), and automatic transmission of mass emails using audience networks in SNS (Social Network Service/Sites) such as Instagram/YouTube/Facebook/Kakao can be done

On the other hand, the device according to the disclosed embodiment includes a processor, a memory for storing and executing program data, a permanent storage such as a disk drive, a communication port for communicating with an external device, a touch panel, a key, a button, etc. It may include the same user interface device and the like. Methods implemented as software modules or algorithms may be stored on a computer-readable recording medium as computer-readable codes or program instructions executable on the processor. Here, the computer-readable recording medium includes a magnetic storage medium (eg, read-only memory (ROM), random-access memory (RAM), floppy disk, hard disk, etc.) and an optically readable medium (eg, CD-ROM). ) and DVD (Digital Versatile Disc)). The computer-readable recording medium may be distributed among network-connected computer systems, so that the computer-readable code may be stored and executed in a distributed manner. The medium may be readable by a computer, stored in a memory, and executed on a processor.

All documents, including publications, patent applications, patents, etc., cited in the disclosed embodiments are the same as in the disclosed embodiment as if each cited document was individually and specifically shown in combination or as a whole in the published embodiment. can be merged

In order to understand the disclosed embodiments, reference signs have been given in the preferred embodiments shown in the drawings, and specific terms are used to describe the disclosed embodiments, but the disclosed embodiments are not limited by the specific terms, and the disclosed embodiments are It may include all components commonly conceivable by those skilled in the art.

The disclosed embodiment may be represented in functional block configurations and various processing steps. These functional blocks may be implemented in any number of hardware and/or software configurations that perform specific functions. For example, the disclosed embodiment is an integrated circuit configuration, such as memory, processing, logic, look-up table, etc., capable of executing various functions by means of the control of one or more microprocessors or other control devices. can be hired Similar to how the components of the disclosed embodiment may be implemented as software programming or software elements, the disclosed embodiment may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, including C, C++ , may be implemented in a programming or scripting language such as Java, assembler, or the like. Functional aspects may be implemented in an algorithm running on one or more processors. Additionally, disclosed embodiments may employ prior art techniques for electronic configuration, signal processing, and/or data processing, and the like. Terms such as “mechanism”, “element”, “means” and “configuration” may be used broadly and are not limited to mechanical and physical configurations. The term may include the meaning of a series of routines of software in connection with a processor or the like.

The specific implementations described in the disclosed embodiments are only examples and do not limit the scope of the disclosed embodiments in any way. For brevity of the specification, descriptions of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted. In addition, the connection or connection members of lines between the components shown in the drawings illustratively represent functional connections and/or physical or circuit connections, and in an actual device, various functional connections, physical connections that are replaceable or additional may be referred to as connections, or circuit connections. In addition, unless there is a specific indication such as "essential" or "importantly", it may not be a necessary component for the application of the disclosed embodiment. In addition, those of ordinary skill in the technical field of the present invention will understand that various embodiments are possible within the scope of the technical spirit of the present invention. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: windows scheduler 200: e-mail binding unit
210: preprocessing management unit 220: region classification unit
230: recombination processing unit 240: reconstruction processing unit
300: list generation unit 400: dispatch processing unit

Claims (5)

A task scheduler that performs a task of a predetermined scheduler in the background of the window for a certain period of time, and
An e-mail combining unit that creates an outgoing e-mail by combining at least one or more sub-topic tabs necessary for sending an e-mail SMTP using natural languages made in different forms of infinite combinations to build an aggregation tab;
a list generating unit for generating an unlimited spam avoidance list for e-mail SMTP transmission based on the aggregation tab built in the e-mail combining unit;
a sending processing unit that calls the list generated by the list generating unit by the scheduler and performs automatic mass email transmission by email SMTP;
the email linkage
A pre-processing management unit that initializes program variable values and deletes duplicate transmitted IDs and rejected reception rejection IDs from the csv folder;
At least one or more sub-topic tabs necessary for sending an email SMTP corresponding to the built-up tab are selected in the email subject area (Sub), email body area (Con), clickable link area included in the email (Link), and greetings in the email body. Includes area (Bye), area for unsubscribe link at the end of email (Opt), area for KakaoTalk link or banner link (Ban), area 1 for special characters (Zz), area 2 for special characters (Yy) a region classification unit that classifies by region;
It is an infinite combination of email information created by combining the natural languages created in different forms by circulating and changing the natural language stored in advance for each area of each category, and each sub-topic from which a plurality of combinations can be created. A recombination processing unit for recombining the taps;
It includes a reconstruction processing unit that assembles the combination sentences including the recombined sub-subject tabs and reconfigures them into a collection tab,
The reconstruction processing unit matches with the combination statement included in the reconstructed aggregation tab until all the .csv files including the recipient ID are processed in the pre-stored csv folder or until the upper limit of the total number of transmission IDs is reached. Bulk email automatic sending system.
delete delete (A) Using the pre-processing management unit, the recipient ID is obtained using a crawling program or a previously secured csv list file, and it is stored in the csv folder in the form of a csv file, and the duplicated transmitted duplicate ID and rejected receiving rejection ID Steps to delete from the csv folder,
(B) using the task scheduler to call the received email stored in the csv folder at regular intervals using the scheduler function included in the window system;
(C) Every time the received email is called using the task scheduler, the recipient ID file stored in the csv folder is read, and at least one sub-topic required for SMTP transmission of at least one email corresponding to the aggregation tab using the email combiner A step of recombining the taps with each other using natural language samples stored in advance to construct a collection tap;
(D) Combination statements included in the reconstructed aggregation tab until all .csv files including recipient IDs are processed in the csv folder stored in advance using the reconstruction processing unit or the upper limit of the total number of transmission IDs is reached Matching and building steps,
(E) generating an unlimited spam avoidance list for e-mail SMTP transmission based on the constructed aggregation tab using the list generator;
(F) performing mass email automatic transmission by email SMTP by calling the generated list by a predetermined scheduler using a sending processing unit,
The step (C) is
Using the area classification unit, select at least one or more sub-topic tabs required for SMTP transmission of e-mail corresponding to the aggregation tab. of greeting area (Bye), email opt-out link area (Opt), KakaoTalk link or banner link area (Ban), special text area 1 (Zz), special letter area 2 (Yy) Classifying by area including
By using the recombination processing unit, the classified sub-topic tabs are cycled and converted into natural languages stored in advance for each area of each category to combine natural languages made in different forms as infinite combinations of e-mail information, and a plurality of combinations are generated. Recombining each possible sub-topic tabs;
Bulk email automatic transmission method comprising the step of using a reconstruction processing unit to assemble a combination sentence including the recombined sub-topic tabs and reconfigure them into a collection tab.
delete

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