KR20190109361A - Social marketing method for providing business support service - Google Patents

Abstract

The present invention relates to a social marketing method for providing a business assistance service which is capable of performing online promotion with high efficiency at low costs. The social marketing method comprises the steps of: logging in a social network service account; obtaining at least one metadata; determining a feedback for a post; and performing the determined feedback.

Description

Social marketing method for providing business assistance services {SOCIAL MARKETING METHOD FOR PROVIDING BUSINESS SUPPORT SERVICE}

The present invention relates to a social marketing method for providing a business assistance service.

Business solutions are mainly software or cloud services to assist the company's administrative tasks, and typically perform functions to assist with production management, employee management, data management, or scheduling.

However, such a business solution is required by a company having a certain size or more, and no business solution is provided for prospective start-ups or early start-ups.

Recently, as there are many start-ups and start-ups based on global trends due to rapid technological development and national policy support, the development of business solutions for them is required.

Publication No. 10-2002-0004592, published on Jan. 16, 2002

The problem to be solved by the present invention is to provide a social marketing method for providing a business assistance service.

Problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

Social marketing method according to an aspect of the present invention for solving the above problems is a step of a computer logging into a social network service account, obtaining metadata included in a post uploaded by another user in the social network service, Determining feedback for the post based on the obtained metadata and performing the determined feedback for the post.

The feedback may include a comment on the post, and the determining of the feedback may include determining a content of a comment to leave in the post.

The metadata may include at least one of an image and text included in the post, and the determining of the feedback may include analyzing the contents of the image included in the post and the contents of the image and the text. Determining the feedback based on at least one.

In addition, acquiring the metadata may further include obtaining feedback of other users of the post, and determining the feedback may include metadata of the post and feedback of other users of the post. Determining the context of the post based on and determining the feedback based on the context of the post.

The determining of the context may include extracting one or more keywords included in contents of an image included in the post, text included in the post, and feedback of other users of the post. Determining the property of each keyword and determining the context of the post according to the property of each of the determined one or more keywords.

The performing of the feedback may further include acquiring secondary feedback on the performed feedback and canceling the feedback or correcting the contents of the feedback according to the contents of the secondary feedback. have.

The performing of the feedback may further include determining an identity of the logged in account and determining a time zone for performing the feedback and contents of the feedback according to the determined identity.

In addition, the performing of the feedback may include: following an account of one or more other users, storing a list of the accounts of the one or more other users, and one or more other users included in the list. The method may further include canceling a follow-up of an account not following the logged-in account after the period.

The performing of the feedback may further include evaluating a result of performing the feedback and targeting an object to which the feedback is to be performed according to the evaluation result.

Provided is a computer program stored in a computer-readable recording medium that can be combined with a computer that is hardware to perform the social marketing method according to an aspect of the present invention for solving the above problems.

Other specific details of the invention are included in the detailed description and drawings.

According to the disclosed embodiment, it is possible to provide a business assistance service that can easily and efficiently proceed a series of processes for starting a business, including idea derivation, business plan preparation, development and marketing.

In addition, by automatically performing the marketing using a social network service, there is an effect that can perform online promotion with high efficiency at a low cost.

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

1 is a conceptual diagram schematically illustrating a system for providing a business assistance service according to an exemplary embodiment.
2 is a flowchart illustrating a type of business assistance service provided according to an exemplary embodiment.
3 is a flowchart illustrating an operation of an IDIST according to an exemplary embodiment.
4 and 5 are diagrams illustrating a system for performing a function of an IDist according to an exemplary embodiment.
FIG. 6 is a diagram illustrating a system that performs a function of a planist according to an embodiment.
7 is a diagram illustrating a system that performs a function of a cordist according to an embodiment.
8 is a flowchart illustrating an operation of a marketer according to an exemplary embodiment.
9 is a diagram illustrating a system for performing a function of a marketer according to an exemplary embodiment.

Advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but can be embodied in various different forms, and the present embodiments only make the disclosure of the present invention complete, and those of ordinary skill in the art to which the present invention belongs. It is provided to fully inform the skilled worker of the scope of the invention, which is defined only by the scope of the claims.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and / or "comprising" does not exclude the presence or addition of one or more other components in addition to the mentioned components. Like reference numerals refer to like elements throughout, and "and / or" includes each and all combinations of one or more of the mentioned components. Although "first", "second", etc. are used to describe various components, these components are of course not limited by these terms. These terms are only used to distinguish one component from another. Therefore, of course, the first component mentioned below may be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms used in the present specification (including technical and scientific terms) may be used in a sense that can be commonly understood by those skilled in the art. In addition, terms that are defined in a commonly used dictionary are not ideally or excessively interpreted unless they are specifically defined clearly.

As used herein, the term "part" or "module" refers to a hardware component such as software, FPGA, or ASIC, and the "part" or "module" plays certain roles. However, "part" or "module" is not meant to be limited to software or hardware. The “unit” or “module” may be configured to be in an addressable storage medium or may be configured to play one or more processors. Thus, as an example, a "part" or "module" may include components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, Procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Functions provided within components and "parts" or "modules" may be combined into smaller numbers of components and "parts" or "modules" or into additional components and "parts" or "modules". Can be further separated.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram schematically illustrating a system for providing a business assistance service according to an exemplary embodiment.

Referring to FIG. 1, a user client 100 and a server 200 in communication with the user client are shown.

In an embodiment, the user client 100 and the server 200 refer to a computer or a program running on the computer.

In the embodiments disclosed herein, a computer is used to mean any kind of device including at least one processor. For example, a computer means a desktop, laptop (laptop), smartphone or tablet PC.

All or part of the method for providing the business assistance service according to the embodiment disclosed below is performed in the user client 100 or the server 200.

In an embodiment, the user client 100 transmits information used to provide the business assistance service according to the disclosed embodiment to the server 200, and the server 200 provides the business assistance service according to the disclosed embodiment. Method, and transmits the result to the user client (100).

In an embodiment, the user client 100 downloads a program from the server 200 to perform a method for providing a business assistance service according to an embodiment disclosed from the server 200 or another external server, and downloads the downloaded program. It performs a method for providing a business assistance service according to the disclosed embodiment.

In an embodiment, the user client 100 accesses the server 200 through a web page, and provides a business assistance service according to the disclosed embodiment using a single page application (SPA) provided from the server 200. Do the method.

The above-described embodiments are provided as examples, and the method in which all or part of the method for providing the business assistance service is performed in the user client 100 or the server 200 is not limited thereto.

2 is a flowchart illustrating a type of business assistance service provided according to an exemplary embodiment.

All or part of the business assistance service shown in FIG. 2 is performed by the user client 100 or the server 200 shown in FIG.

According to the embodiment illustrated in FIG. 2, the type of the business assistance service includes an IDIST 320, a PLAIST 340, a CODIST 360, and a MARKETIST 380. .

The idist 320 is a service that determines a business item and provides a method of deriving an idea for starting a business.

The planist 340 is a service that allows planners to easily create a business plan, quickly produce the required form, and help the business plan and scheduling.

The codeist 360 is a service that helps a developer to easily develop a service according to an idea derived using the idist 320 and a business plan established using the planist 340.

In one embodiment, the coordinates 360 includes a CSSIST service that provides a CSS framework that can be published in HTML.

The marketer 380 is a service to help with marketing using a social network service.

As described above, IDIST, PLANIST, COORDIST, CAST, and MARKISTIST are synonyms combining idea (IDEA), plan (LAN), code (CODE), CSS, and MARKETING and assist (ASSIST), respectively. Although it is used as a term for each component of the business assistance service in the specification, any feature of the disclosed embodiment is not limited or limited by the name.

3 to 5 are views for explaining the function of the IDIST according to an embodiment.

3 is a flowchart illustrating an operation of an IDIST according to an exemplary embodiment.

4 and 5 are diagrams illustrating a system for performing a function of an IDist according to an exemplary embodiment.

Each step shown in FIG. 3 is performed in time series in the user client 100 or the server 200 shown in FIG. 1. Hereinafter, for convenience of description, the roles of the user client 100 and the server 200 will be described separately, and in particular, each step shown in FIG. 3 will be described as being performed by the server 200. The performing subject is not limited to the server 200, and all or part of the subject may be performed by the user client 100.

In step 322, the server 200 obtains one or more keywords corresponding to the idea from the user client 100.

In an embodiment, the server 200 obtains a keyword in a search form from the user client 100 separated by keyword or created according to a predetermined rule.

In an embodiment, the server 200 obtains one or more sentences describing the idea from the user client 100, and extracts one or more keywords from the obtained sentences.

For example, the server 200 may acquire information describing an idea interactively with the user client 100.

In addition, the server 200 may transmit a question for deriving or deepening an idea to the user client 100, and obtain a keyword for the idea through a feedback process of obtaining an answer to the question.

In operation 324, the server 200 searches for content including one or more keywords obtained in operation 322.

For example, the server 200 may search for a content including one or more keywords obtained in step 322 in a DB (database) included in the server 200 or one or more external servers 400.

In one embodiment, the external server 400 may include one or more of the patent DB 410, the article DB 420, and other web pages 430, but the external server 400 and the external server 400 The type of information included is not limited thereto.

In an embodiment, the server 200 may perform the synonym and synonym search of the keyword obtained in step 322 and each keyword obtained in step 322 together, and may perform the antonym search together if necessary. In addition, the server 200 may perform a search by dividing the keywords obtained in operation 322 into morpheme units.

In an embodiment, the server 200 may automatically perform a search by automatically creating a search expression including a keyword obtained in step 322 and one or more of synonyms, synonyms, antonyms, and morphemes of each keyword.

In step 326, the server 200 evaluates the idea based on the search result of step 324.

In an embodiment, the server 200 determines the novelty of the idea through the search of the patent DB 410 and the article DB 420. In this specification, novelty is understood to encompass patent legal novelty, progressiveness, and patentability, and novelty of ideas that can be judged by those skilled in the art. In addition, the server 200 may determine the marketability of the idea by searching the web page 430. For example, the web page 430 search may be performed through a Google search.

In an embodiment, the server 200 may classify one or more keywords obtained in step 322.

For example, the server 200 classifies one or more keywords obtained in step 322 into first keywords for determining marketability of ideas and second keywords for determining novelty of ideas.

In one embodiment, the server 200 provides one or more questions to the user client 100 and extracts one or more keywords from the answers to each question. In one embodiment, the question that the server 200 provides to the user client 100 includes a question for determining the marketability of the idea (eg, a question asking a business area in which the idea is to be included or utilized), and the novelty of the idea. Questions (eg, questions asking specific or technical content of an idea) are included.

In one embodiment, the server 200 classifies the keywords extracted from the answer to the question asking the marketability of the idea as the first keyword, and classifies the keywords extracted from the answer to the question for determining the novelty of the idea as the second keyword. do.

The server 200 performs a search for each classified keyword. In an embodiment, the server 200 may automatically perform a search by automatically creating a search expression including one or more classified keywords and one or more of synonyms, synonyms, antonyms, and morphemes of each keyword.

As more contents including the first keyword are found as a result of the search, the server 200 determines that the idea is highly marketable. In addition, as less content including the second keyword is found as a result of the search, the server 200 determines that the idea is novel.

As an example in which the server 200 classifies one or more keywords, relatively non-technical terms and everyday terms are used to determine the marketability of an idea according to predetermined criteria, and relatively technical terms and non-routine terms are used. The term can be used to determine the novelty of an idea.

Standards for determining technical terms and everyday terms may be set in various ways, but may be classified based on a preset word database or based on qualitative or quantitative analysis of Internet search results of each keyword.

In an embodiment, the search for the second keyword may be performed within the search result for the first keyword when searching for the second keyword. For example, in order to determine whether a large number of contents including the second keyword are found in the business field or the technical field corresponding to the first keyword, the content including the second keyword in the search result for the first keyword. A search for may be performed.

As another example, the server 200 may search for one or more keywords obtained in operation 322, and classify the keyword into a third keyword having a large amount of included content and a fourth keyword having a small amount of included content.

The server 200 may determine that the component of the idea corresponding to the third keyword is a high marketability element, and the component of the idea corresponding to the fourth keyword is a high novelty element.

In an embodiment of the present disclosure, the server 200 may re-search for content including the fourth keyword in the search result for the third keyword. For example, to determine whether a large number of contents including the fourth keyword are found in the business field or the technical field corresponding to the third keyword, the content including the fourth keyword in the search result for the third keyword. A search for may be performed.

In step 328, the server 200 provides the user client 100 with feedback that includes the evaluation result of step 326.

In one embodiment, the feedback provided includes at least one of marketability and novelty of the idea.

In one embodiment, the server 200 forwards at least one question to the user client 100 that can derive a new idea or embody an existing idea based on the feedback provided. The server 200 may obtain additional keywords corresponding to the response of the question from the user client 100 and perform the operation of the step 322 or less again.

For example, if the server 200 lacks marketability of an idea, the server 200 may ask the user client 100 a question requiring an additional idea about a field or a method in which the idea may be utilized, and the novelty, progressiveness, or patentability of the idea. In this shortage, the user client 100 may be asked a question requiring additional ideas for new technical elements or more specific technical contents.

The server 200 may receive a response to the question, further derive one or more keywords from the received response, and perform the operation of step 322 or less again.

In one embodiment, the server 200 may repeat the operations of steps 322 to 328 until an idea with marketability, novelty, progressiveness, and patentability that is above a predetermined criterion is derived.

In an embodiment of the present disclosure, the server 200 selects a fifth keyword that is not found in the search results for the third keyword among the fourth keywords in step 326, and provides information about the fifth keyword to the user client 100. May be provided to induce the user to add or refine the idea corresponding to the fifth keyword.

For example, the server 200 selects one or more keywords having high commerciality among the keywords obtained from the user client 100, and selects one or more keywords that do not appear well in the search results for the selected one or more keywords. . The server 200 may provide the selected keyword to the user client 100, and the user client 100 may provide the server 200 with additional ideas corresponding to the provided keyword. The server 200 may extract one or more additional keywords from the additional ideas, and re-evaluate the ideas including the extracted additional keywords.

In an embodiment, the question provided by the server 200 to the user client 100 may be a preset question. For example, the server 200 includes a database that stores questions that can help to generate ideas and refine the ideas, and provides the questions contained in the database to the user client 100 in a predetermined order or randomly, each question. You can get the answer.

In an embodiment, the question and answer process may be performed in step 322, and the operations of steps 324 to 328 may be performed using the keywords obtained in the question and answer process.

In another embodiment, the question and answer process is performed in a process between steps 328 and 322, wherein the questions are selected in a predetermined order, randomly or in accordance with the idea evaluation results according to the steps 322 to 326. 100).

In an embodiment, the server 200 sequentially provides one or more questions stored in a database to the user client 100, and receives each time an answer to one or more questions is received from the user client 100. Keywords included in the answered answers may be extracted and the idea evaluation operation of steps 322 to 326 may be performed on the extracted keywords.

The server 200 provides the user client 100 with the marketability and novelty of the evaluated idea based on the keywords acquired up to one point of time so that the user client 100 can be displayed. Whenever one or more are received, the evaluation may be performed again to provide the changed evaluation result to the user client 100 to be displayed on the user client 100.

For example, the user is provided with an idea derivation service using the user client 100, in the process, the user answers the question provided from the server 200, and the answer result is transmitted to the server 200 to provide real time. As a result, the evaluation of the idea corresponding to the answer may be performed, and the evaluation result may be displayed on the user client 100.

For example, as the user answers more questions, the idea may be reinforced to gradually improve the evaluation result. The user may check the changing evaluation result and answer the question provided from the server 200, and if the marketability or novelty is higher than a predetermined reference value or the user is satisfied enough, the user may stop the answer and end the idea derivation step. .

When the idea derivation step is completed, the server 200 organizes the acquired keywords and displays at least one of a search result and evaluation result for the idea including all keywords and at least one of a client client. Provided at 100.

In an embodiment of the present disclosure, the server 200 may provide an idea market service for selling or sharing an idea derived by using the ID 320 or an idea possessed by each user.

For example, the server 200 uploads one or more ideas to a space that is open to the public or to a member who has certain criteria, so that other user clients 500 who want the idea can view the uploaded idea. can do.

In one embodiment, the scope of the ideas disclosed by the server 200 is limited. Since disclosure of all ideas presents a risk of theft, the server 200 introduces to the other user client 500 whether each idea is an idea or an idea of value without revealing the main points of the idea. You should be able to.

In an embodiment, the server 200 may disclose some of one or more keywords corresponding to the ideas, and quantitatively organize and publish the evaluation results of each idea according to FIG. 3.

The user client 500 may check the content of the idea based on some keywords and may verify the value of the idea based on evaluation results of the marketability and novelty of the idea.

In one embodiment, the idea may be an idea possessed by each user as well as an idea derived using the id 320. In this case, the server 200 may utilize the IDist 320 as an idea evaluation means. For example, the server 200 may receive a document describing an idea from each user, or listen to the description using the interface of step 322. The server 200 extracts one or more keywords from a document describing the idea or description of the idea, and evaluates the value of the idea through the evaluation and feedback process of steps 324 to 328.

In an embodiment, the server 200 may provide an idea reinforcement service including idea derivation and specification of steps 322 to 328 to further increase the value of the idea according to the evaluation result.

When the evaluation and reinforcement of the ideas of each user is completed, the server 200 discloses a part of the content and the evaluation results for each idea, so that the idea transaction between users can be made.

FIG. 6 is a diagram illustrating a system that performs a function of a planist according to an embodiment.

The planist 340 is a service that allows planners to easily create a business plan, quickly produce the required form, and help the business plan and scheduling.

According to the disclosed embodiment, the business plan may be prepared according to at least one of PowerPoint, Word, PDF, Korean, and other document formats, and the server 200 may be stored in the server 200 or at least one stored in an external server. The database 600 performs the planist 340 function.

In one embodiment, database 600 includes a business plan database.

The business plan database may include at least one template document for generating a business plan, and each template document may be stored in the database 600 for each extension or application program.

The server 200 obtains information for creating a business plan from the user client 100, inputs the obtained information into a template document obtained from the database 600, and generates a business plan.

In one embodiment, if there is information that is not filled in the business plan template, the server 200 requests the unfilled information from the user client 100, receives the information from the user client 100 to the business plan template Enter it.

The server 200 provides the generated business plan to the user client 100.

In one embodiment, database 600 includes a schedule database.

The schedule database includes at least one schedule information input from the user client 100.

The server 200 generates a business plan schedule by using the information included in the schedule database and the information on the business plan and the goal input from the user client 100.

In an embodiment, the server 200 obtains at least one task corresponding to the business plan and a target time point for accomplishing each task from the user client 100. The server 200 generates a schedule for accomplishing each task at each target time point and stores the schedule in a schedule database.

The server 200 generates a business plan based on the information stored in the schedule database, and transmits the generated business plan to the user client 100.

In one embodiment, the server 200 delivers information about one or more tasks required to develop a business plan to the user client 100, generates a schedule to achieve each task or receives input from the user client 100 .

For example, the server 200 may establish a corporation, register a corporation, register a business, generate a business plan, attract investment, develop services, derive ideas, apply patents, and apply trademarks based on the business goals obtained from the user client 100. Delivers information about a task including at least one of the tasks to the user client 100, receives a schedule for performing each task from the user client 100, or generates a recommendation schedule to deliver to the user client 100 do.

The server 200 stores the determined schedule in the schedule database.

FIG. 7 is a diagram illustrating a system that performs a function of a codecist, according to an exemplary embodiment.

The codeist 360 is a service that helps a developer to easily develop a service according to an idea derived using the idist 320 and a business plan established using the planist 340.

In one embodiment, the server 200 obtains information for service development from a database 700 stored internally or stored in an external server.

In one embodiment, database 700 includes one or more of information obtained from a library DB, a code DB, and a web page.

The server 200 searches for a library DB, a code DB, and other web pages to obtain information for providing a business assistance service according to the disclosed embodiment.

For example, the server 200 may select a language suitable for a service to be developed, and provide the user client 100 with means for learning the selected language. In an embodiment of the present disclosure, the server 200 may translate and organize a programming language composed mostly of English to Korean (or a native language of a developer), and provide the organized data to the user client 100. In addition, the server 200 may obtain information about at least one of a programming language, a library, and open source suitable for a service to be developed, and provide the information to the user client 100.

8 to 9 are diagrams for describing a function of a marketer according to an embodiment.

8 is a flowchart illustrating an operation of a marketer 380 according to an exemplary embodiment.

9 is a diagram illustrating a system that performs a function of a marketer 380, according to an exemplary embodiment.

Each step shown in FIG. 8 is performed in time series in the user client 100 or the server 200 shown in FIG. Hereinafter, for convenience of description, the roles of the user client 100 and the server 200 will be described separately, and in particular, each step shown in FIG. 8 will be described as being performed by the server 200. The performing subject is not limited to the server 200, and all or part of the subject may be performed by the user client 100.

In operation 382, the server 200 logs in to a social network service account corresponding to user information obtained from the user client 100.

In the disclosed embodiments, social network services include Facebook, Instagram, Twitter, blogs, and various other types of social network services (SNS). Referring to FIG. 9, although the social network service is illustrated as being managed by the SNS server 800, the subject managing the social network service is not limited thereto, and the social network service may be managed in the server 200, a plurality of servers, or a cloud server. Network services can be managed.

In one embodiment, the server 200 logs in to the user's personal account or the account of the company that the user wants to promote.

In one embodiment, server 200 uploads a post to a logged in account. The content of the uploaded post may be selected at random or may be selected according to preset guidelines.

For example, the server 200 may generate a post about the content that is an issue through an online search. In addition, the server 200 may generate a post about the content that is an issue, and may include a promotion content for a company to be promoted in at least a part of the post.

In addition, the server 200 may obtain at least a part of the content of the post to be uploaded from the user client 100, and automatically generate and upload the post based on the obtained content.

The server 200 performs marketing using a social network by using a logged in account and interacting with other users and accounts of other users.

In step 384, the server 200 obtains metadata included in a post uploaded by another user from the social network service logged in in step 382.

In one embodiment, another user or post of another user may be selected at random, may be selected based on the information obtained from the user client 100, at least one included in the account logged in server 200 It may be selected based on the metadata of.

For example, the server 200 may obtain at least one keyword from the user client 100, and select a post including the obtained keyword in a body or a hash tag. In addition, the server 200 may select another user who uploaded the selected post.

In one embodiment, the metadata includes at least one of a photo, a text, a hashtag, and a comment, an empathy number, and a sympathy form included in the post.

In step 386, server 200 determines feedback for the post based on the metadata obtained in step 384.

In one embodiment, the feedback includes empathy and comments, and includes at least one of following the account of the user who uploaded the post.

In one embodiment, the server 200 analyzes the metadata obtained in step 384 to determine the content of the comment to leave in each post. For example, the server 200 recognizes at least one object from a picture included in the post, and determines the content of the comment to correspond to the recognized object. For example, the server 200 may determine that the photograph included in the post is a photograph of food by using a predetermined image analysis method. The server 200 may generate a comment indicating that the food included in the picture looks delicious.

In an embodiment, the server 200 may include a database of preset comments corresponding to the contents of metadata. The server 200 may analyze the content of metadata included in each post, and obtain a predetermined comment corresponding to the analyzed content from the database.

In an embodiment, the server 200 extracts at least one keyword from the obtained metadata, searches for another post including the extracted keyword, and obtains one or more comments attached to the searched post. The server 200 may generate one by selecting one of the acquired comments or by combining the acquired comments.

In one embodiment, the server 200 may determine the context of each post using one or more metadata. For example, the server 200 may generate a comment indicating that the flower is pretty when the flower is recognized in the photo included in the post. However, the flower photos were uploaded to express feelings of mourning or mourning, and there may be posts that are not appropriate to comment that the flowers are pretty.

Therefore, the server 200 may determine the context of the post by analyzing not only the post's picture but also the content of the text, hashtags, empathy of other users, and comments of other users. The server 200 may generate feedback based on the content of each metadata and the context of the post derived therefrom.

In one embodiment, to determine the context of the post, the server 200 determines whether the post's atmosphere is positive or negative. The server 200 may distinguish between a positive word and a negative word based on a predetermined criterion or a database based on a predetermined criterion. For example, the server 200 may include a database in which positive words and negative words are classified.

In an embodiment, the server 200 may classify post types according to preset criteria in order to determine a post context. For example, the server 200 uses the keyword of the contents of the photo and the text (including the text, hashtags, and comments) included in the post to determine whether the post is pleasant, sad or depressing, or everyday. For example, you can classify information that conveys information, expresses feelings of anger, or is intended for business or public relations. The method of classifying the contents by using the keyword by the server 200 may be performed by a preset keyword list, or may be performed by using at least one learned model that can classify the context according to the keyword.

The server 200 may determine whether the post is positive or negative based on the number of positive words and negative words included in the post.

In one embodiment, if the server 200 cannot determine the context of the post, the server 200 may withhold the post. The server 200 may suspend judgment on the post until the feedback of other users is added to the post to determine the context of the post.

When the feedback of other users is added to the post more than a predetermined criterion, or the server 200 may determine the context of the post more than a predetermined probability based on the feedback of other users, the server 200 determines the feedback of the post and feedbacks. Can be generated.

In one embodiment, the server 200 may generate feedback for the post by imitating feedback left by other users on the same post. For example, in the case of Facebook, if another user has liked you, you can like it, and if another user has liked you, you can also press sad. In addition, the server 200 may generate comments with contents similar to comments written by other users.

In an embodiment, the server 200 obtains at least one keyword to be included in a comment from the user client 100. The server 200 generates a comment using the acquired keyword, but if the same comment is repeatedly left, it may be sanctioned by the social network service system, and thus random or different symbols or words are set in each comment. You can add them in order.

In step 388, the server 200 performs the determined feedback in step 386.

For example, the server 200 may display empathy for each post, leave a comment, share a post, follow a user who uploaded a post, or send a message to a user who uploaded a post.

In an embodiment, the server 200 may receive secondary feedback for feedback left in each post. For example, the server 200 may obtain a comment for the comment left in the post.

The server 200 may modify or delete the existing feedback corresponding to the secondary feedback based on the obtained secondary feedback.

According to an embodiment of the present disclosure, when the negative secondary feedback for the feedback is obtained, the server 200 may determine that there is a problem with the feedback content, and may correct or delete the content of the feedback.

For example, the server 200 may have misrepresented the post and misrepresented the post in step 386. In this case, the server 200 determines whether the feedback is 'like' or 'dislike' for the comment, whether the content of the comment on the comment is positive or negative, and the negative empathy such as 'dislike' the comment. If you have a lot of feedback, or if you have a negative comment, you can delete the comment or re-determine the post's context to correct the comment.

In addition, in some cases, the server 200 may create an apology comment indicating that the previous comment was inappropriate and there was an error.

In an embodiment, when the negative secondary feedback occurs, the server 200 may notify the manager of the fact that the negative secondary feedback has occurred. In this case, the server 200 may obtain an appropriate countermeasure from the administrator and operate according to the acquired countermeasure. For example, the server 200 may delete a comment according to an administrator's command, modify the comment or leave an apology comment according to the administrator's contents.

The server 200 re-determines the context of the post by referring to the contents of the second feedback, and the existing determination result and the re-decision result and the determination process are stored in the server 200 or the context learning model of the server 200. Is used to relearn.

In one embodiment, the server 200 leaves feedback on other users' accounts and posts of other users to encourage other users to visit or follow the account to which the server 200 is logged in.

In an embodiment, the server 200 may leave feedback on another user's account and another user's post, but the other user may visit or follow with interest in an account other than the account the server 200 is logged in to. You can leave feedback on what you want to do. For example, the server 200 may leave feedback of a content recommending the account along with the ID or link of a specific account in a post of another user.

For example, the server 200 may operate by logging in to an account of a specific company to promote an account of a specific company, but may operate in such a manner as to recommend the account of the company using an account of a non-business person. It may be.

In this case, the server 200 may set the identity of each account so that each account appears to be a real user.

For example, the server 200 may set each account as if it is an account of a student, housewife, or office worker, and set contents uploaded to each account to match the identity of the account. In addition, the server 200 may set an activity time according to the identity of each account, and may mainly perform a feedback operation at the set activity time. For example, the server 200 may perform a feedback operation for another user or another user's post in the after school time zone for the student, the day time zone for the housewife, and the evening time zone for the office worker. In addition, the server 200 may create a comment or post in a different tone and vocabulary according to the identity of each account.

In addition, the server 200 performs a feedback operation, but if the feedback operation is a predetermined number or more per day, the server 200 may be recognized as a macro or a bot by the SNS server 800 and may be blocked. Feedback can be performed periodically.

In one embodiment, the server 200 performs follow-up and management functions for publicity activities.

For example, when the server 200 follows an account of one or more other users according to the feedback of step 388, the server 200 may store a list of other users who followed. The server 200 may classify a user who has followed an account logged in from the server 200 and a user who has not followed the user among one or more other users included in the stored list.

The server 200 may check a user who has followed an account logged in at the server 200 and a user who has not followed at least one of users included in the list at predetermined intervals.

The server 200 may cancel a user who does not follow an account logged in the server 200 for a predetermined period or more. The predetermined period may be set variously, may be arbitrarily set, or may be set at the request of the user client 100.

In an embodiment, the server 200 may generate statistical data according to the result of the feedback performed in step 388.

For example, the server 200 may generate statistics about posts of other users who follow, others who have displayed empathy or commented on. In addition, the server 200 may be among the other users who left feedback, such as giving second feedback on the feedback, visiting an account logged in the server 200, or uploaded from the server 200. You can generate statistics on the number or percentage of other users, such as giving feedback on one post. The server 200 may classify and generate statistics according to types of other users or types of posts uploaded by other users.

That is, the server 200 may classify the performance according to the feedback and the type of the user or the type of the post. The server 200 may acquire a type of a high performing user or a type of post.

The server 200 may provide a type of a high performing user or a type of post to the user client 100 to propose a targeting target, or may perform retargeting using a directly obtained type.

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, in a software module executed by hardware, or by a combination thereof. The software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art.

In the above, embodiments of the present invention have been described with reference to the accompanying drawings, but those skilled in the art to which the present invention pertains may implement the present invention in other specific forms without changing the technical spirit or essential features. I can understand that. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

100: user client
200: server

Claims (6)

Obtaining a social network service account for social marketing from a user client and logging in to the social network service account;
Acquiring, by the computer, at least one or more metadata included in a post uploaded by another user in the social network service using the logged in account;
Determining, by the computer, feedback for the post based on the obtained at least one metadata; And
The computer automatically performing the determined feedback on the post using the logged in account; Including;
Determining feedback for the post,
Analyzing metadata of the post including at least one of an image included in the post, a text included in the post, a hashtag included in the post, and text including feedback from other users of the post; Determining the context of the post; And
Generating content of the feedback corresponding to the context of the post,
Determining the context of the post,
Recognizing at least one object from an image included in the post and extracting one or more keywords included in the text;
Analyzing properties represented by the recognized at least one object and properties represented by the extracted one or more keywords according to preset criteria; And
Determining a context of the post according to a property represented by the analyzed at least one object and a property represented by the analyzed one or more keywords; Including,
Performing the feedback,
Determining an identity of the logged in account; And
Setting a time zone for performing the feedback and content of the feedback according to the determined identity. The method of claim 1,
The feedback includes a comment on the post,
Determining the feedback,
Determining content of a comment to leave in the post; Including, social marketing method. The method of claim 1,
Performing the feedback,
Obtaining secondary feedback on the performed feedback; And
Canceling or modifying the contents of the feedback according to the contents of the secondary feedback; Further comprising, social marketing method. The method of claim 1,
Performing the feedback,
Following at least one other user's account;
Storing a list of the accounts of the one or more other users who followed; And
Canceling a follow-up of one or more other users included in the list that do not follow the logged-in account after a predetermined period of time; Further comprising, social marketing method. The method of claim 1,
Performing the feedback,
Evaluating the performance of performing the feedback; And
Targeting an object to be fed back according to the evaluation result; Further comprising, social marketing method. A computer program, coupled to a computer, which is hardware, stored on a computer-readable recording medium for carrying out the method of claim 1.

Images