KR102109890B1 - Mehod and system for providing hashtag correction service for enhancing marketing effectiveness - Google Patents

Abstract

The present invention relates to an SNS service that is frequently used as a means of marketing, and specifically, when a user uploads a post and incorrectly describes a hashtag while providing corrective guidance on this, it can be induced to be corrected with the correct hashtag. The present invention relates to a hashtag calibration service method and a system therefor.

Description

A hashtag correction service method and system for enhancing marketing effectiveness {MEHOD AND SYSTEM FOR PROVIDING HASHTAG CORRECTION SERVICE FOR ENHANCING MARKETING EFFECTIVENESS}

The present invention relates to an SNS service that is frequently used as a means of marketing, and specifically, when a user uploads a post and incorrectly describes a hashtag while guiding it, it can be guided to correct it with the correct hashtag. The present invention relates to a hashtag calibration service method and a system therefor.

As the spread of smart terminals increases, the use of social network services (SNS) is also increasing. Hashtags are introduced to efficiently classify posts uploaded to social network services (SNS), and include various information such as summary of uploaded posts or keywords related to posts.

Hashtags can also be used as a marketing means, and service actors providing products or services are using it to increase marketing effectiveness by making hashtags related to products or services exposed online.

On the other hand, as a service entity that uses the SNS service as a marketing means, they wish that the target they want to promote is entered with the correct name and exposed online, but the hashtag input is entirely done by the user uploading it. A hash tag is incorrectly entered, that is, if a character is accidentally entered incorrectly or the name is incorrectly entered, an incorrectly displayed name is frequently exposed online.

Considering that a large number of keyword search results are based on hashtags, if the product name or service name that is entered incorrectly as above is entered as a hashtag, the service subject will not be included in the search results even if any user searches for keywords. A problem in which the marketing effect is halved may occur, and when the wrong product name or service name is frequently exposed, many consumers may be confused as to what the actual product name or service name is, which may also cause a problem in which the marketing effect is halved.

In order to solve the problem of halting the marketing effect due to a hashtag that is incorrectly entered due to a user's mistake or misunderstanding, it is necessary to inform the user that the hashtag input is wrong and to induce corrective action. We propose a method for providing hashtag correction service and a system for this.

Korea Open Publication 10-2006-0111920 (2006.10.31. Public)

When the user uploads the SNS post, the present invention first determines which service subject the post corresponds to, and then determines whether the hashtag corresponding to the service subject has been correctly input, and it is determined that the post has not been correctly entered. In this case, the purpose is to deliver a calibration guide message to the user.

The purpose of this is to enable the service subject to fully enjoy the marketing effect through SNS by inducing the user to correct the hashtag by mistake or by mistake.

To solve the above problems, a method for providing a hashtag correction service according to the present invention includes: a user terminal transmitting an upload request to a post on an SNS server, wherein the post includes at least one hashtag; And determining whether the SNS server needs to correct the hashtag included in the post.

In addition, in the method for providing the hashtag calibration service, after the step of determining whether the hashtag needs to be corrected by the SNS server, if it is determined that the hashtag needs to be corrected, the SNS server guides the calibration to the user terminal. And transmitting the message.

In addition, in the method for providing the hashtag correction service, the step of determining whether or not the SNS server needs to be corrected for the hashtag includes: specifying a service subject corresponding to at least one information in the post; And comparing a keyword corresponding to a service subject and a hash tag in the post to determine whether the hash tag needs to be corrected.

Meanwhile, according to another embodiment of the present invention, a method of providing a hashtag correction service by an SNS server includes receiving an upload request from a user terminal for a post, wherein the post includes at least one hashtag; And determining whether a hash tag included in the post needs to be corrected.

In addition, the method for providing a hashtag calibration service may further include transmitting a calibration guide message to the user terminal when it is determined that calibration for the hashtag is necessary after determining whether or not calibration is necessary. .

In addition, in the method for providing a hashtag correction service, determining whether the correction is necessary includes: specifying a service subject corresponding to at least one information in the post; And comparing a keyword corresponding to a service subject and a hash tag in the post to determine whether the hash tag needs to be corrected.

Further, in the method for providing the hashtag correction service, the step of specifying a service subject corresponding to at least one information in the post compares the reference data previously provided from the service subject and the at least one information in the post. Step may include, wherein the reference data may include at least one of location information, a reference image or a reference text.

On the other hand, according to another embodiment of the present invention, a method of providing a hashtag correction service includes: a user terminal transmitting an upload request for a post to the SNS server, wherein the post includes at least one hashtag; Determining whether the SNS server is a notification target for the post, and if it is determined as a notification target, transmitting an upload notification to the service server; And determining whether a service server needs to be corrected for the hash tag included in the post.

In addition, according to another embodiment of the present invention, a method for a service server to provide a hashtag correction service includes receiving an upload notification from an SNS server indicating that a post has been uploaded from an arbitrary user terminal; And determining whether a hash tag included in the post needs to be corrected.

According to the present invention, since it is possible to guide the necessity of correcting the incorrectly entered hashtag, the user can have an opportunity to correct the wrong input, and the service entity can also improve the marketing effect using SNS. It works.

1 is a view for explaining an input case of an incorrect hash tag.
2 is a diagram illustrating a method for providing a hashtag correction service according to a first embodiment of the present invention in order.
Figure 3 shows the detailed steps of the step of determining whether or not correction is necessary.
4 is a view for explaining the use of location information when determining whether a correction is necessary.
5 is a diagram for explaining the use of a reference image when determining whether or not calibration is necessary.
6 is a flowchart illustrating a method for providing hashtag correction service according to a second embodiment of the present invention.

The details of the object and technical configuration of the present invention and its operational effects 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 interpreted or used as limiting the scope of the invention. It is natural that those skilled in the art, including the embodiments of the present specification, have various applications. Accordingly, any of the embodiments described in the detailed description of the present invention are exemplary to better describe the present invention and are not intended to limit the scope of the present invention to the embodiments.

In this specification, a terminal is a mobile station, a mobile terminal, a subscriber station, a portable subscriber station, user equipment, an access terminal, or a personal computer. (Personal computer), refers to all types of devices capable of data communication with external devices, such as a telephone, and may include all or some functions of the device.

The functional blocks shown in the drawings and described below are only examples of possible implementations. Other functional blocks may be used in other implementations 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 execute the same function.

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

Furthermore, when a component is said to be "connected" to or "connected" to another component, it should be understood that other components may be directly connected or connected to the other component, but may exist in the middle. do.

First, a situation of a problem to be solved by the present invention will be briefly described with reference to FIG. 1.

FIG. 1 illustrates a process in which an arbitrary user visits a restaurant and then takes a picture of a signboard of the restaurant and uploads it to a post. For example, a user can upload a post by visiting a restaurant named [MOLINA's] (left side in FIG. 1) and writing it to leave it on SNS. For example, after creating a post like the right side in FIG. have. The right side of FIG. 1 is an example of a post editing window 10 provided by an SNS server or provided by an application for using an SNS service. Here, a first input area capable of inputting an image or video (11) and a second input area 12 through which text can be input may be included. The user can enter the hash tag 13 in the second input area 12. FIG. 1 shows an example in which the user tried to enter the restaurant name #MOLINA as a hash tag, but accidentally entered #MOLIMA. will be.

This type of hashtag misrepresentation occurs quite frequently among users, for example, simply entering a typo, as in the case above, when the name of the restaurant is wrong or the food name provided by the restaurant is incorrect. This may exist, and these examples are not only limited to restaurants, but also may include misinformation from a general tourist destination, such as not knowing the name of a mountain, sea, or river.

The present invention is intended to provide an opportunity to correct hashtags by determining whether correction is necessary for hashtags that are incorrectly entered due to a user's mistake or by misunderstanding, and guiding the user when correction is required.

2 shows a method for providing a hashtag correction service according to a first embodiment of the present invention.

First, the configuration of the entire system for providing a hashtag calibration service according to the present invention will be described with reference to FIG. 2. Referring to FIG. 2, the system may include the user terminal 100 and the SNS server 500 as a basic configuration, and additionally, a service server 300 may be further included.

First, the user terminal 100 is a device including a memory in which instructions for executing a program can be stored, and a central control unit (CPU) for actually executing these instructions, and the user terminal 100 mentioned in the detailed description Can be understood to collectively mean a device with the ability to edit posts and make upload requests. The type of the user terminal 100 may preferably be a portable device such as a smart phone, a tablet PC, and a laptop. However, the type of the user terminal 100 is not necessarily limited to a portable device.

Next, the SNS server 500 refers to a server operated by a person who provides an SNS service to a plurality of users. The SNS server 500 provides a basic SNS service by receiving a post upload request directly from a user and storing the uploaded post in the server. The process of providing the SNS service and its types are well known to those skilled in the art, so detailed descriptions thereof will be omitted.

The method for providing hashtag correction service according to the first embodiment may be basically performed by the user terminal 100 and the SNS server 500, but additionally, the service server 300 may be further included as a system configuration. . The service server 300 refers to a device operated by a service entity that provides a product or service, and it is assumed that the device also includes a central control unit and memory. For reference, the service entities mentioned in the detailed description may include all of the entities that provide products or services, such as the restaurant operating entity, the tourist management entity, the entity operating the festival held within the tourist destination, and the business entity selling the product.

Referring to FIG. 2 again, a process of providing a hashtag correction service will be described. In the method of providing a hashtag correction service according to the first embodiment, when a user requests to upload a post through the user terminal 100 to the SNS server 500, the SNS server 500 needs to correct the hashtag in the corresponding post. If it is determined whether or not calibration is necessary, it is characterized in that a calibration guide message is transmitted to the user terminal 100. It will be described in detail below.

The method for providing hashtag calibration service according to the first embodiment may start from sharing reference data between the service server 300 and the SNS server 500 in advance. (S210) Reference data may include various information for specifying the service subject, for example, location information of the service subject, the name of the service subject, and a reference image related to a product or service provided by the service subject , A reference image, and the like, and further, reference texts previously specified by the service subject may be further included. For example, assuming that the service entity is a specific restaurant, the reference data includes location information (address or GPS / GIS information) of the restaurant, name of the restaurant, food image sold in the restaurant, image of the restaurant (signage) image, in the restaurant The reference data may include a plate image provided, a table setting image when providing food to the consumer in the restaurant, a plurality of food names previously specified in the restaurant, and an abbreviation of the restaurant name. For reference, the location information may be displayed as an area of a certain range including a specific location of the corresponding service subject. For example, when the location point of the restaurant is P, a radius of 50m may be represented as location information around the P point. have.

On the premise that the above reference data is shared, the method for providing the hashtag correction service according to the first embodiment is after the user edits the post on the user terminal 100 and inputs the hashtag (S220). It may start from the step of making an upload request to the server 500. (S230) Steps S220 and S230 may be understood as steps in which the user edits a post using the SNS application installed on his terminal and requests upload of the post to the SNS server 500 by pressing the upload button. , The post may include content such as images (pictures), audio, and video, and hashtags and other text directly input by the user, and location information of the user terminal 100 when requesting to upload the post, And a terminal identifier. At this time, the terminal identifier may include a phone number of the user terminal 100, a user ID, a product number of the user terminal 100, and the like, or any other type capable of specifying the user terminal 100 or the user. Characters, numbers, combinations of letters and numbers, and biometric information may also be included.

After the step S230, the SNS server 500 may determine whether or not the hashtag needs to be corrected for the post requested to be uploaded. (S240) Referring to FIG. 3, the process of determining whether a correction is necessary is described in more detail. The corresponding step is a step of specifying a service subject corresponding to at least one information in the post (S241), and when the service subject is specified, The hashtag in the post may be divided into a step (S242) of determining whether correction is necessary by comparing whether the service subject is the same as a keyword previously shared or requested.

First, step S241 is a step of specifying which service subject the post is written for, or which service subject it corresponds to, before directly determining whether the hashtag in the post needs correction. This step may be executed by utilizing reference data provided by a service entity in advance, and representatively, location information, a reference image, and a reference text may be used.

First, referring to FIG. 4, for an embodiment using location information, as previously mentioned, the service subject may share location information in advance, and the SNS server 500 includes the location information of the service entity in the post. By comparing it with the location information, it is possible to specify which service subject the corresponding post corresponds to. For example, if the location information previously shared by the service subject is P, and the location information included in the post is also P, the SNS server 500 may determine that the corresponding post corresponds to the service subject. Alternatively, when the location information previously shared by the service subject is a specific range centered on P and P, and the location information included in the post is P 'included in the range, the SNS server 500 may display the corresponding post. It may be determined that this corresponds to the service subject.

Next, referring to FIG. 5 (a), an embodiment in which a reference image is utilized, the SNS server 500 may specify a service subject by comparing a reference image shared in advance with a content image included in the post. have. Various well-known image analysis methods can be used for this process, such as an image analysis method for separating objects in an image, an image analysis method for determining similarity by comparing RGB values in an image, and the like. That is, in this step, the similarity between the reference image and the content image in the post is compared, and when the similarity value is greater than or equal to a threshold, it may be specified that it corresponds to the service subject.

FIG. 5 (b) is an embodiment to help understanding of the invention, and assumes that a menu sold by a specific restaurant is shared as a reference image. When uploading a post, a user can take a menu eaten at a restaurant and post it. In this case, similarity may be measured when analyzing an image in the case of the same menu provided at the same restaurant. In particular, the color or shape of the object in the image such as the color of the food, the color and shape of the plate on which the food is placed, the shape of the plate or silverware on the table, etc. When comparing, it may be compared as a main part, and accordingly, the SNS server 500 may specify that the target corresponding to the corresponding post is the service subject.

For reference, FIG. 5 (b) has been described as only the reference image is an image including a menu (food) sold by the service subject in order to help the understanding of the invention, but as previously mentioned, the reference image includes various other objects, For example, it may be a picture of the exterior and signboard of a restaurant, the interior space of a restaurant (placement of furniture and furniture), etc. Also, if the service subject is a person (corporate) who operates a tourist attraction other than a restaurant, a photo of the entrance of the tourist attraction is taken. If there is an object for image analysis that can identify the subject of the service, such as a picture of a major attraction in a tourist attraction or a picture of a festival placard hanging in a tourist attraction, it can be included in the reference image without limitation.

In addition to the location information and the reference image, the SNS server 500 may also identify a service subject using reference text. Posts requested to be uploaded may include text, which may include a plurality of hashtags and content texts excluding the hashtags (text additionally entered by the user in addition to the hashtags). The SNS server 500 may determine whether the post corresponds to the service subject by comparing hash tags in the post or content text other than the hash tag in advance with reference texts shared from the service subject. For example, the SNS server 500 sees how many matching keywords between a plurality of hashtags and reference texts in a post, or how many keywords match between content texts and reference texts in the post. Can judge. On the other hand, when comparing the hashtag or the content text and the reference text, the SNS server 500 may separately calculate the similarity for each keyword. For example, in the example of MOLINA's of FIG. 1, when the SNS server 500 has previously shared MOLINA as a reference text, and the hash tag included in the post is MOLIMA, 5 of the 6 characters have the same arrangement and alphabet. It can be used for judging similarity by recognizing it.

As described above, in step S241, the SNS server 500 can identify the service subject corresponding to the post by comparing the information included in the post and the reference data shared from the service subject in advance. Meanwhile, in the above description, only examples in which location information, reference images, and reference texts are used to separately identify service entities are described, but the step S241 is not performed based only on any one reference data. It should be understood that several of these can be used in combination. For example, in the above embodiment, the SNS server 500 refers to all of the location information, the reference image, and the reference text, calculates the probability that the post corresponds to the service subject for each reference data, and then averages these values. Alternatively, it may be summed up to finally specify a service entity to which the post corresponds. In this case, in particular, the probability calculation based on location information may greatly reduce the candidate group of service subjects corresponding to the post, and in addition, when additionally performing operations such as a reference image and a reference text, correspond to the post It will be possible to more accurately specify the service principal.

On the other hand, after the service principal corresponding to the post is identified in step S241, the SNS server 500 compares the keywords shared from the service principal in advance with the hashtag in the post, that is, whether the hashtag is incorrectly input, that is, the corresponding hash. It is determined whether the tag needs to be corrected. If a service subject is specified, keywords corresponding to the service subject, that is, reference texts previously shared from the service subject can also be specified, so that these keywords can be compared with the hashtag in the post. 500 may determine whether a hash tag in the post is incorrectly input in the comparison process.

With reference to FIG. 3, the step S240 in which the SNS server 500 determines whether the hash tag of the post requested to be corrected is necessary (S240) has been described.

Referring back to FIG. 2, when it is determined in step S240 that the hashtag does not need to be corrected, that is, when it is determined that the hashtag is entered with the correct name, the SNS server 500 takes special measures for the post. On the contrary, if it is determined that the hashtag needs to be corrected, the SNS server 500 may transmit a calibration guide message to the user terminal 100 that made the upload request. (S250) The calibration guide message may include content indicating which of the hashtags the user has entered is incorrect, and further, whether the service subject corresponding to the post matches the service subject originally intended by the user, Contents of asking whether there is a desire to modify the hashtag in the post may be further included.

On the other hand, a user who receives a correction guide message from the SNS server 500 can edit the post using his user terminal 100, that is, edit the hashtag, and re-upload the modified post to the SNS server 500 side. You can make a request. (S260, S270)

Thereafter, the SNS server 500 may again determine whether or not correction is necessary for the post that has been requested to upload again (S280), and determination of whether or not correction is necessary in this step may be performed in the same process as in the previous step S240. Or, by comparing the corrected hashtag with the reference texts of the specified service subject, it is possible to check whether the hashtag that required the correct correction is correct.

On the other hand, the SNS server 500 additionally reports the calibration results to the service server 300 to inform the service subject of the calibration content, calibration performance, and the like. (S290)

With reference to FIGS. 2 to 5, a method for providing a hashtag correction service according to the first embodiment and a system for the same have been described.

6 shows a process for providing a hashtag calibration service according to the second embodiment. When comparing the first embodiment and the second embodiment, if the first embodiment determines whether or not the correction is necessary by the SNS server 500, in the second embodiment, the determination as to whether the correction is necessary by the service server 300 Is done. In other words, the subject who determines whether or not correction is necessary is different. Hereinafter, a process of providing a hashtag calibration service according to the second embodiment will be described.

The second embodiment may start from a step in which a user first edits a post on the user terminal 100 and inputs a hashtag (S610) and then requests an upload to the SNS server 500 for the post. (S620) At this time, the post requested to be uploaded may include a content image, hashtag, and content text, and may also include location information of the user terminal 100 at the time of upload.

After step S620, the SNS server 500 determines whether the post is a post corresponding to a service agent that has previously contracted, instead of determining whether or not the upload requested post is corrected, and corresponding to the service subject If it is determined that the upload notification to the service server 300 may be transmitted (S630), at this time, the SNS server 500 may utilize the location information in the post as a criterion. That is, when the location information on which the post was uploaded and the location information previously shared from the service subject are the same or within the range, the service server 300 is notified of the upload of the post. The upload notification delivered by the SNS server 500 to the service server 300 includes at least one of location information, content image, content text, hash tag, and terminal identifier of the user terminal 100 included in the post. Can be.

After step S630, the service server 300 determines whether it is necessary to correct the hash tag in the post (S640). At this time, the step of determining whether correction is necessary is the same as the step S240 described in the first embodiment. Can proceed to However, since this step is directly performed by the service server 300, unlike the SNS server 500 of the first embodiment utilized reference data previously shared from the service server 300, the service server 300 It differs in that it utilizes the reference data stored directly. In the same context, in the first embodiment, a separate step in which the service server 300 and the SNS server 500 share reference data in advance may be included, but in the second embodiment, the step of sharing the reference data is not required. Can understand

Meanwhile, if it is determined in step S640 that the hashtag of the post is not particularly required to be corrected in step S640, no further special measures may be taken, and conversely, when it is determined that the hashtag needs to be corrected, A calibration guide message may be transmitted to the user terminal 100. (S650) The calibration guide message may include content informing which of the hashtags input by the user, which hashtag was incorrectly input.

After the step S650, the user can edit the post on the user terminal 100, that is, edit the hashtag, and request the uploaded SNS server 500 again for the modified post. (S660, S670)

Subsequently, the SNS server 500 may deliver an upload notification to the service server 300 (S680) for the post that has been requested to upload again, and the service server 300 receiving the upload notification may modify the hash. It may be determined again whether the tag needs to be corrected (S690).

With reference to the drawings above, a method for providing a hashtag calibration service according to the present invention and a system therefor have been described.

On the other hand, those skilled in the art to which the present invention pertains will recognize that the present invention can be implemented in other specific embodiments without changing its technical spirit or essential features. Therefore, the embodiments described above are merely illustrative and should be understood as not limiting the scope. In addition, the flowcharts shown in the drawings are merely sequential sequences illustrated by way of example in order to achieve the most desirable results in practicing the present invention, and other additional steps may be provided or some steps may be deleted. .

The technical features described in this specification and implementations implementing the same are implemented as digital electronic circuits, or implemented as computer software, firmware, or hardware including structures described herein and their structural equivalents, or a combination of one or more of them. It can be implemented as In addition, implementations implementing the technical features described herein are modules for computer program instructions encoded on a tangible program storage medium to control or thereby execute operation of a computer program product, ie a processing system. It may be implemented.

The computer-readable recording medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of materials affecting a machine-readable propagated signal, or a combination of one or more of these.

100 user terminal
300 service servers
500 SNS server

Claims (10)

In the method of providing a hashtag correction service,
Transmitting, by the user terminal, an upload request for a post to the SNS server, wherein the post includes at least one hashtag; And
Determining whether the SNS server needs to correct the hashtag included in the post;
Including,
The step of determining whether the SNS server needs to be corrected for the hashtag is:
Specifying a service subject corresponding to at least one information in the post; And
Determining whether the hash tag needs to be corrected by comparing a keyword corresponding to a service subject and a hash tag in the post;
Containing,
How to provide hashtag calibration services.
According to claim 1,
After the step of determining whether the SNS server needs to be corrected for the hashtag,
If it is determined that the hashtag needs to be corrected, the SNS server sends a correction guide message to the user terminal;
Further comprising,
How to provide hashtag calibration services.
delete In the method that the SNS server provides a hashtag correction service,
Receiving an upload request for a post from the user terminal, said post comprising at least one hashtag; And
Determining whether a hashtag included in the post needs to be corrected;
Including,
The step of determining whether the hash tag included in the post needs to be corrected is
Specifying a service subject corresponding to at least one information in the post; And
Determining whether the hash tag needs to be corrected by comparing a keyword corresponding to a service subject and a hash tag in the post;
Containing,
How to provide hashtag calibration services.
The method of claim 4,
After the step of determining whether or not correction is necessary,
If it is determined that the hashtag needs to be corrected, transmitting a calibration guide message to the user terminal;
Further comprising,
How to provide hashtag calibration services.
delete The method of claim 4,
The step of specifying a service subject corresponding to at least one information in the post,
Comparing the reference data provided in advance from the service subject and at least one information in the post,
How to provide hashtag calibration services.
The method of claim 7,
The reference data,
At least one of the location information, the reference image or the reference text,
How to provide hashtag calibration services.
In the method of providing a hashtag correction service,
Transmitting, by the user terminal, an upload request for a post to the SNS server, wherein the post includes at least one hashtag;
Determining whether the SNS server is a notification target for the post, and if it is determined as a notification target, transmitting an upload notification to the service server; And
Determining whether a service server needs to be corrected for a hash tag included in the post;
Including,
The step of determining whether the service server needs to be corrected for the hash tag included in the post,
Specifying a service subject corresponding to at least one information in the post; And
Determining whether the hash tag needs to be corrected by comparing a keyword corresponding to a service subject and a hash tag in the post;
Containing,
How to provide hashtag calibration services.
In the method that the service server provides a hashtag correction service,
Receiving, from the SNS server, an upload notification informing that a post has been uploaded from any user terminal;
Determining whether correction is necessary for the hash tag included in the post;
Including,
The step of determining whether correction is necessary for the hash tag included in the post,
Specifying a service subject corresponding to at least one information in the post; And
Determining whether the hash tag needs to be corrected by comparing a keyword corresponding to a service subject and a hash tag in the post;
Containing,
How to provide hashtag calibration services.

Images