KR20210051218A - Method for providing email-based personal performance management service, apparatus, and storage medium thereof - Google Patents

Abstract

The present invention relates to a method for providing customer information in real time, a device thereof and a storage medium thereof. More specifically, information on a caller when a user receives a call from an arbitrary caller is received through a terminal used by the user, thereby allowing the user to have a call by having more information when answering a call.

Description

Method of providing e-mail-based personal performance management service, device and storage medium for this {METHOD FOR PROVIDING EMAIL-BASED PERSONAL PERFORMANCE MANAGEMENT SERVICE, APPARATUS, AND STORAGE MEDIUM THEREOF}

The present invention relates to a service that enables a user to easily manage personal performance based on e-mails exchanged with a counterpart, and specifically, various information that can be known from e-mails, namely, title, content, sender, date sent, etc. It relates to a service provision method that allows users to easily know what tasks they have performed in relation to a project by analyzing the information of the user, an apparatus for this, and a storage medium that stores instructions for executing the service provision method.

It is very important to manage their personal performance information from the standpoint of a person who is in charge of and performs tasks belonging to the organization. In particular, personal performance information can be used when an organization evaluates his or her work in the future, and it is important for an individual to accurately fill in it and submit it to the organization's evaluation department.

However, on the other hand, it is a very cumbersome task to record one's work performance every time an individual performs a task, and it is also very difficult to manage such personal performance information at once. Therefore, there is a consumer for a user environment that can easily perform such personal record information management work, and the present invention has been proposed in light of this problem.

The present invention to be described in the future was invented not only to solve the technical problems of salpin above, but also to provide additional technical elements that cannot be easily invented by those of ordinary skill in the art.

Registered Patent No. 10-1911304 (announced on October 24, 2018)

The present invention relates to providing a personal performance management service so that users can easily manage their personal performance information, and in particular, users can easily manage personal performance information based on e-mails exchanged with other business people. It aims to make it possible.

In addition, an object of the present invention is to enable more accurate personal record information management by allowing a user to easily modify or edit the personal record information based on a corresponding e-mail even after it is generated.

Meanwhile, the technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

In order to solve the above problems, a method for providing an email-based personal performance management service according to the present invention includes the steps of: (a) loading email data-the email data includes a plurality of emails; (b) classifying the emails into project-related emails, respectively; and (c) generating personal record information based on the emails classified in step (b).

In addition, in the method, step (b) may include filtering non-work related emails among a plurality of emails in the email data.

In addition, in the above method, in step (b), each of the emails may be classified into project-related emails according to a preset classification criterion condition. In this case, the classification criterion condition may include keywords previously set by the user, or the classification criterion condition may include keywords selected by machine learning.

In addition, in the method, step (b) may be characterized in that the e-mail is classified as an e-mail related to a specific project by referring to a keyword included in a title or content included in the e-mail.

In addition, in this case, in step (b), a specific project related to the user may be defined by referring to the project name or project code included in the e-mail. Further, in step (b), the sender or recipient of the e-mail is further It can be characterized by categorizing it into emails related to a specific project by referring to it.

In addition, in the method, step (b) may further include generating summary information by including keywords referenced when a certain email is classified as related to a specific project, and matching the summary information to the specific project. I can.

Meanwhile, in the method, step (c) may further include providing a user interface displaying a list of one or more projects defined in step (b) and a list of tasks performed by the user in relation to the project. . In this case, the user interface may provide an additional input menu so that a user can directly additionally input a task performed in relation to the project. In addition, the user interface may provide a file upload menu so that a user can upload an attached file related to each task.

On the other hand, an apparatus for providing an email-based personal performance management service according to another embodiment of the present invention includes a central processing unit and a memory, wherein the memory executes a method of providing an email-based personal performance management service. Instructions are stored therein, and the method of providing the e-mail-based personal performance management service includes the steps of: (a) loading e-mail data, the e-mail data including a plurality of e-mails; (b) classifying the emails into project-related emails, respectively; (c) generating personal record information based on the emails classified in step (b); It may include.

On the other hand, in a computer-readable storage medium storing instructions for executing the method for providing an email-based personal performance management service according to the present invention, the method for providing the email-based personal performance management service is (a) email Loading data, the email data comprising a plurality of emails; (b) classifying the emails into project-related emails, respectively; (c) generating personal record information based on the emails classified in step (b); It may include.

According to the present invention, there is an effect that the user can easily manage personal performance information in the future even if he/she does not record his/her own business every time he performs a job, and in particular, there is an effect that it can be completed within a very short time.

In addition, there is an effect that the user can easily edit personal record information by using the present invention.

In addition, from the standpoint of the organization hiring the user, if the user uses the personal performance information generated according to the present invention, there is an effect that it is possible to efficiently evaluate the user.

On the other hand, the effects according to the present invention are not limited to those mentioned above, and various technical effects can be achieved within a range that can be inferred by a person skilled in the art.

1 is a view for explaining in what environment the service providing method according to the present invention is performed.
2 is a sequence diagram illustrating a method of providing a personal performance management service based on e-mail according to the present invention.
3 shows an interface in which a user can directly input a keyword for each project.
4 shows a process of automatically selecting keywords for each project using artificial intelligence learning based on collected emails.
5 is a diagram illustrating a comparison between keywords of content in an email and keywords selected in a previous process.
6 shows a state in which personal performance information is displayed based on e-mail.
FIG. 7 is a diagram illustrating an evaluation of a user based on the personal performance information of FIG. 6.

Details of the objects and technical configurations of the present invention, as well as operational effects thereof, will be more clearly understood by the following detailed description based on the accompanying drawings in the specification of the present invention. An embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

The embodiments disclosed herein should not be construed or used as limiting the scope of the present invention. It is natural for those skilled in the art that the description including the embodiments of the present specification has various applications. Accordingly, any of the embodiments described in the detailed description of the present invention are exemplary for better describing the present invention, and it is not intended that the scope of the present invention be limited to the embodiments.

The functional blocks shown in the drawings and described below are only examples of possible implementations. In other implementations, other functional blocks may be used without departing from the spirit and scope of the detailed description. Further, although one or more functional blocks of the present invention are represented as individual blocks, one or more of the functional blocks of the present invention may be a combination of various hardware and software configurations that perform the same function.

In addition, the expression that includes certain elements is an expression of “open type” and simply refers to the existence of the corresponding elements, and should not be understood as excluding additional elements.

Furthermore, when a component is referred to as being “connected” or “connected” to another component, it should be understood that it may be directly connected or connected to the other component, but other components may exist in the middle. do.

First, with reference to FIG. 1, a brief look at the system environment in which the service according to the present invention can be provided. Referring to FIG. 1, the present invention provides a service for personal performance information management through a specific device 100 based on the email data 10, and as a result, a performance report for a user as shown in the figure. It can be understood that 500 is displayed through a display device.

For reference, a user referred to in this detailed description may be understood as a person who intends to use the personal performance management service according to the present invention, and preferably, may be understood as a manpower belonging to a specific organization to perform tasks.

In addition, the e-mail data 10 referred to in this detailed description may be understood to mean a set of a plurality of e-mails exchanged by the user with business associates, for example, from January 1, 2019 to December 2019. Emails up to the 31st of the month may constitute one email data 10. In the above example, it has been described that e-mails for a specific period constitute one e-mail data 10, but are not necessarily limited thereto. For example, only e-mails received from a specific person may be constituted as one e-mail data 10. have.

Meanwhile, the apparatus 100 shown in FIG. 1 is for providing a service according to the present invention, and may be specifically understood as a device that performs a series of steps to be described later. The device 100 is basically a computing device having a central processing unit (CPU) and a memory, and in this case, the central processing unit is a controller, a microcontroller, a microprocessor, and a microcomputer ( It can also be called microcomputer). In addition, the central processing unit may be implemented by hardware, firmware, software, or a combination thereof. When implemented using hardware, an application specific integrated circuit (ASIC) or a digital signal processor (DSP) , DSPD (digital signal processing device), PLD (programmable logic device), FPGA (field programmable gate array), etc., when implemented using firmware or software, modules, procedures or functions that perform the above functions or operations, etc. Firmware or software may be configured to include. In addition, the memory includes ROM (Read Only Memory), RAM (Random Access Memory), EPROM (Erasable Programmable Read Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash memory, SRAM (Static RAM), It may be implemented as a hard disk drive (HDD), a solid state drive (SSD), or the like.

On the other hand, the device 100 may be a personal computer used by a user, or may be a server used by an organization. When the device 100 is a personal PC of the user, the e-mail data 10 may be stored in the storage (SSD, HDD, etc.) of the personal PC of the user, and the service according to the present invention is provided in the personal PC of the user. Software to be provided may be installed. In contrast, when the device 100 is a server used by an organization, the email data 10 may be shared by a plurality of users, and the service according to the present invention is provided in the storage (SSD, HDD) of the server. Software to provide may be installed. That is, if the device 100 is implemented as an organizational server, the personal performance management service according to the present invention may be performed based on an email individually shared by each user while connected to a plurality of personal PCs.

Above, with reference to FIG. 1, a schematic structure of an entire system provided with a personal performance management service according to the present invention has been described.

2 is a sequence diagram illustrating a method of providing a personal performance management service according to the present invention.

2, the method comprises the steps of collecting email data (S101), loading email data (S102), filtering non-work emails (S103), and classifying emails into project-related emails. It may include a step (S104), and a step (S105) of generating personal record information. For reference, the methods shown in FIG. 2 will be described on the premise that the device 100 is the user's personal PC, but as described above, the above methods are performed in the same way even when the device 100 is the organization's server. Understand that it can be. Hereinafter, each step will be described in more detail.

First, step S101 is a step of collecting email data. In this step, a method of collecting email data by accumulatively storing emails directly received from the outside by the device 100 in an internal storage, or a terminal in which the device 100 is different This may include sharing e-mail data from (PC) over a network or accessing e-mail data stored on a portable storage medium to play. Although previously mentioned briefly, the e-mail data 10 referred to in this detailed description may refer to a state in which a plurality of e-mails are generated as one data. In some cases, the service provision method according to the present invention may be performed by inputting individual e-mails even if it is not necessarily in the form of e-mail data, but in this case, individual e-mails are also plural, and ultimately, data that is the basis for personal performance management. In this detailed description, a set of e-mails will be referred to as e-mail data without distinguishing such cases.

Next, step S102 is a step of loading the previously collected email data. This step refers to a step of moving email data to a secondary storage or main memory location provided in the device 100 for a series of processing for future personal performance management service provision. In general, this step is for providing personal performance management service. This can be done within the device 100 in which the software is installed.

Next, step S103 may be understood as a step of filtering emails less relevant to the user's work from email data, that is, a step of pre-filtering non-work emails. Step S103 may be performed at the same time as the classification step of S104 to be described later, or may be omitted in some cases, but in this detailed description, all will be described for clarification of understanding.

Step S103 may be performed with reference to a keyword group for filtering non-business e-mails, and such a keyword group may be previously set by the user. For example, by setting keywords that are not related to work, such as "notice" and "advertising", the emails containing these keywords can be automatically filtered. On the other hand, since users can easily know which keywords are valid keywords in relation to the project they have been working on over the past period, they can also set to filter emails other than emails containing these keywords to non-work emails. For example, by setting the project name and the names of people who participated in the project as valid keywords, all emails except for the emails related to the project can be filtered out. Meanwhile, the keyword group may be set by an individual user, but is not limited thereto. For example, when the device 100 is a server of an organization, it may be defined by a rule created by a person operating the server. That is, a person or a department that manages the entire project in the organization may provide arbitrary keywords when the person operating the service creates the rule, so that other emails other than the emails containing the keywords are filtered.

If the filtering step is performed in advance as in step S103, the data processing load can be reduced in step S104, which will be described later, so there is an advantage in that the resource utilization of the device 100 can be improved, and further, non-business emails are filtered in advance. After doing so, it is advantageous in terms of the time required to perform the full-scale e-mail classification step for each project.

Next, step S104 is a step of classifying emails into project-related emails, respectively. This step may be performed independently after step S103 has been made above, or may include a step of substantially filtering non-business emails in step S103, because step S103 or step S104 are all pre-designated keyword groups. This is because it is performed with reference to.

The most important process in performing step S104 is to create a keyword group in advance, which will be described with reference to FIGS. 3 and 4.

FIG. 3 is a simplified diagram illustrating a mode of generating a keyword group by receiving a keyword directly from a user. In the method for providing personal performance management service according to the present invention, as shown in FIG. 3, by providing a keyword input interface corresponding to each project name and each project, the user can directly input the keyword, and after the input is completed May generate a keyword group for each project as shown on the right side of FIG. 3. In the keyword input interface, a separate menu may be additionally provided to input a new project name as well as a keyword input, and through this, a user can freely additionally write a project that he or she has performed during the past period. For reference, in step S103, a keyword input interface similar to that of FIG. 3 may be provided, but in step S103, since only non-work emails are filtered out of all emails, the interface may not be the level of receiving keyword input for each project. .

On the other hand, in FIG. 3, an input box for inputting a keyword corresponding to project A and an input box for inputting a keyword corresponding to project B are shown, but keywords that should not be included in classifying emails related to project A (NOT Keyword) may be additionally provided.

In performing step S104, the keyword group may be generated in the same manner as in FIG. 3, but unlike this, it may also be generated in the same manner as in FIG. 4 using artificial intelligence machine learning. 4, e-mail data-e-mail data at this time may be e-mail data after non-work e-mail filtering has been performed-is automatically through an artificial intelligence machine learning program provided in the form of software in the device 100 A project related keyword group and a project B related keyword group can be generated, and keywords extracted from each email can be selected according to the criteria defined by the artificial intelligence machine learning program itself. In the criteria for selecting keywords, for example, a word containing a specific code or keyword accompanied by a specific code in an email is defined as the project name, but the keyword accompanied by such a specific code or a specific code is detected more than a preset number of times. It may include that, in relation to each project, a specific word will be detected more than a preset number of times, and a specific person name or position in relation to each project will be detected more than a preset number of times. For example, if the phrase [Seocheon Power Plant Construction Project] is included in the subject of multiple emails, the artificial intelligence machine learning program recognizes the phrase as the project name and can be defined as a new project. By analyzing emails titled [Power Plant Construction Project], key keywords, that is, keywords with a high frequency of appearance, can be defined as keywords related to the previously defined project. In addition, it is possible to classify e-mails sent by the sender into e-mails that are highly relevant to the project by referring to which sender the e-mails titled [Seocheon Power Plant Construction Project] were received.

In this way, in step S104, keyword groups corresponding to each project may be generated prior to the full-scale classification work, and the methods as in FIG. 3 or 4 may be used as the method. Although not described separately in the detailed description, it is understood that the manual input method of FIG. 3 and the automatic generation method of FIG. 4 may be used in parallel. That is, by entering some keywords in advance, for example, by entering at least each project name, the user can refer to this when a keyword group is automatically generated through an artificial intelligence machine learning program in the future. When a project name that the user has not yet entered is searched by the artificial intelligence machine learning program, the program displays this fact to the user, so that the user can confirm the project name.

For reference, in the process of generating a keyword group during step S104, keyword extraction may not be performed for all emails in the email data, and keyword extraction may be performed only for a predetermined number of emails, that is, in a sampling method. . It would be best to extract keywords for all e-mails in e-mail data to create an accurate keyword group. However, when the size of e-mail data is large, that is, when there are many e-mails, the time required for keyword extraction is required. It is understood that many can cause inconvenience, and a sampling method can be used for this.

On the other hand, if a keyword group has been created, a process of classifying which project each email corresponds to can be followed. In other words, it is possible to classify the emails related to which project each email is by comparing it with the keyword groups created earlier. In this process, the main keywords extracted from each email are more than simply categorized. They can also be matched and classified together. At this time, the matching keywords are used to identify the specific task the user has performed.For example, the user can easily identify detailed tasks such as design support, business agreement ceremony, rental consultation, market research report preparation, and field situation identification. It is to make it possible.

FIG. 5 is a simplified illustration of a comparison between various contents included in an email and the previously generated keyword groups. For example, a plurality of contents extracted from the email subject 11 and the email content 12 The words are compared with the keyword group created for project A and the keyword group created for project B, and the email is classified as related to project A or project B according to which keyword is included in the email as a result of the comparison. can do. The process of classifying email into which project is related can be implemented in various ways. For example, similarity between a plurality of words extracted from the email subject (11) and content (12) and keyword groups for each project There may be a method of comparing and determining which project's keyword group is more similar to the keyword group, or keywords with high importance among the keyword groups (keywords included in each keyword group have been assigned an importance value separately. In this case, the importance value may be calculated based on the frequency of occurrence of the keyword during the keyword group creation process). .

Referring back to FIG. 2, after the step of classifying emails in email data into emails related to each project, a step of generating personal record information (S105) may be performed. This step is provided through the display of the user terminal (PC) so that the user can directly check his or her personal performance, and FIG. 6 shows an embodiment of the generated personal performance information. 6, the personal performance information may display the name of an individual project (21) and tasks (22) performed by the user in each project, and at this time, the user directly provides the supporting documents in the list of each task (22). A menu button 23 may be provided for uploading, and further, a remark menu button 24 may be provided so that a user can write a reference for each task.

On the other hand, when personal performance information is generated, the project may not be divided and displayed as intended by the user, or some work contents may be classified into other projects. In preparation for such a case, the service according to the present invention In the providing method, as shown in FIG. 6, an editing function may be provided so that the user can directly edit it. 6 shows an example of the use of the interface in which the task is classified as project A by dragging the task directly and dropping it on project A when "[Task 1] Field Issue Identification" is initially classified in the C project. Is shown. In addition to this, users can directly edit the names of tasks classified by each project.

For reference, FIG. 7 shows an example of personal performance evaluation information after evaluation of a user is made based on the previous personal performance information. Referring to FIG. 7, in the personal performance evaluation information, the project name 31 of the project performed by the user and the tasks 32 performed by the user for each project may be listed. How much weight (33) was occupied within each project, and how much contribution was recognized for each task and how many points (34) could be calculated. However, it is understood that the embodiment illustrated in FIG. 7 is only one embodiment and may be changed by various calculation formulas.

In the above, a method, an apparatus, and a storage medium in which commands for executing the method are stored have been described for providing an e-mail-based user personal performance management service. The present invention is not limited to the specific embodiments and application examples described above, and various modifications can be implemented by those of ordinary skill in the art without departing from the gist of the present invention claimed in the claims. Of course, these modified implementations should not be understood as being distinguished from the technical idea or perspective of the present invention.

10 email data
11 Email subject
12 Email content
13 Email sender
21 Project name 22 Task list
23 Attachment Upload Menu Button
24 Remarks Menu Button
31 Project name 32 Task list
33 Work portion 34 Contribution points
100 devices
500 personal performance information

Claims (14)

In the method of providing an email-based personal performance management service,
(a) loading email data, the email data comprising a plurality of emails;
(b) classifying the emails into project-related emails, respectively;
(c) generating personal record information based on the emails classified in step (b);
Containing,
How to provide email-based personal performance management service.
The method of claim 1,
The step (b),
It characterized in that it comprises the step of filtering non-business related e-mails among a plurality of e-mails in the e-mail data,
How to provide email-based personal performance management service.
The method of claim 1,
The step (b),
It characterized in that the e-mails are classified into project-related e-mails according to a preset classification criterion condition,
How to provide email-based personal performance management service.
The method of claim 3,
The criteria for classification above are:
Characterized in that it includes keywords preset by the user,
How to provide email-based personal performance management service.
The method of claim 3,
The criteria for classification above are:
Characterized in that it includes keywords selected by machine learning,
How to provide email-based personal performance management service.
The method according to claim 4 or 5,
The step (b),
It characterized in that the email is classified as an email related to a specific project by referring to a keyword included in the subject or content included in the email,
How to provide email-based personal performance management service.
The method of claim 6,
The step (b),
Characterized in that defining a specific project related to the user by referring to the project name or project code included in the email,
How to provide email-based personal performance management service.
The method of claim 7,
The step (b),
Characterized in that the email is classified as an email related to a specific project by further referring to the sender or recipient of the email,
How to provide email-based personal performance management service.
The method of claim 8,
The step (b),
It characterized in that it further comprises the step of generating summary information by including keywords referenced when a certain email is classified as related to a specific project, and matching the summary information to the specific project,
How to provide email-based personal performance management service.
The method of claim 3,
The step (c),
It characterized in that it further comprises the step of providing a user interface displaying a list of at least one project defined in step (b) and a task performed by the user in relation to the project,
How to provide email-based personal performance management service.
The method of claim 10,
The user interface, characterized in that it provides an additional input menu to allow the user to directly input additional tasks performed in relation to the project,
How to provide email-based personal performance management service.
The method of claim 11,
The user interface, characterized in that providing a file upload menu so that a user can upload an attached file related to each task,
How to provide email-based personal performance management service.
In a device that provides an email-based personal performance management service,
The device includes a central processing unit and a memory, wherein instructions for executing a method of providing an e-mail-based personal performance management service are stored in the memory,
The method of providing the above email-based personal performance management service
(a) loading email data, the email data comprising a plurality of emails;
(b) classifying the emails into project-related emails, respectively;
(c) generating personal record information based on the emails classified in step (b);
Containing,
A device that provides e-mail-based personal performance management service.
In a computer-readable storage medium storing instructions for executing a method of providing an email-based personal performance management service,
The method of providing the above email-based personal performance management service
(a) loading email data, the email data comprising a plurality of emails;
(b) classifying the emails into project-related emails, respectively;
(c) generating personal record information based on the emails classified in step (b);
Containing,
Computer-readable storage media.

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