KR20210023214A - Method for guiding route with sns and server therefor - Google Patents

Abstract

According to an embodiment of the present invention, a route guidance server using social networking service (SNS) provides a recommended destination to a user based on SNS information, and also provides an actual image uploaded to the SNS, so that the user can be recommended for a popular place on the SNS, and can intuitively recognize information about the place through the image.

Description

Route guidance method using SNS and a server for driving it {METHOD FOR GUIDING ROUTE WITH SNS AND SERVER THEREFOR}

The present invention relates to a route guidance method using SNS and a server for driving the same.

As the Internet and smartphones are popularized, network communication between individuals is activated, and the public's desire for disclosure and viewing of private life continues to increase. In line with such social trends, SOCIAL NETWORKING SERVICE (SNS) is growing as a center of communication and information sharing between individuals.

Examples of such social networking services include one-to-one messenger services such as KakaoTalk and LINE, blogs where long posts such as Tistory and EGLOOS can be posted, There are microblogs that focus on sharing photos and short articles such as Facebook and Twitter. In addition, there are also photo-oriented social media such as Instagram.

Such SNS may include a meta data tag function. Meta data is data that defines and describes a set of data. A representative example of the metadata tag of SNS is a hashtag. Hashtag is a function that allows information to be shared by writing'#' in front of a specific word or phrase. Users can tag one or more hashtags on posts or photos uploaded to social media. Accordingly, users can share various information through hashtag search.

Accordingly, the inventor of the present invention has studied a route guidance method and server using meta data of SNS for a long time, and has been through trial and error to complete the present invention.

An object of the present invention is to extract a recommended destination based on SNS, and intuitively provide a recommended destination to a user.

Still other objects, not specified, of the present invention will be additionally considered within the range that can be easily deduced from the following detailed description and effects thereof.

According to an aspect of the present invention, receiving a search word from a user terminal; Collecting, from an SNS server, a plurality of SNS information including an image tagged with the search word; Obtaining POI information of the image from a tag indicating the POI of the image among tags tagged to the image of the SNS information; Determining a recommendation order of the POI information; Transmitting a recommendation destination corresponding to the plurality of POI information to a user terminal according to the recommendation ranking, and transmitting the image of the SNS information corresponding to the POI information together; Receiving, from a user terminal, a route request for at least one destination among the recommended destinations; And generating a route to a destination for which the route is requested, and transmitting the route to a user terminal.

In the step of obtaining POI information of the image, if a tag indicating the POI of the image is included in a pre-stored POI list, the tag may be determined as POI information of the image.

In the step of acquiring the POI information of the image, when there are a plurality of tags indicating the POI of the image, it may be determined as POI information of the image having a high relevance to the image.

The recommendation priority may be determined by the number of tagging times of a tag indicating the POI of the image.

The image of the SNS information transmitted to the user terminal may be determined according to an index calculated by at least one of the popularity of the image, the number of comments on the image, and the latest order of the image.

After the step of acquiring POI information of the image, the step of classifying the SNS information by preset category according to the POI information may be further included.

After the step of collecting the plurality of SNS information, further comprising the step of determining the suitability of the SNS information, the SNS information including at least one of an image including a person and an image whose popularity increase rate per unit time is greater than or equal to a reference value However, it may be judged to be inappropriate.

According to another aspect of the present invention, upon receiving a search word from a user terminal, an SNS information processing unit configured to collect, from an SNS server, a plurality of SNS information including an image tagged with the search word; A POI information processing unit that obtains POI information of the image from a tag representing the POI of the image, among tags tagged to the image of the SNS information; A recommendation for determining a recommendation priority of the POI information, and transmitting a recommendation destination corresponding to the plurality of POI information to a user terminal according to the recommendation priority, but transmitting the image of the SNS information corresponding to the POI information together Destination processing unit; And a route processing unit for generating a route to the destination for which the route guidance is requested and transmitting the route to the user terminal upon receiving a route guidance request for at least one destination from the user terminal.

On the other hand, even if it is an effect not explicitly mentioned herein, it is added that the effect described in the following specification and its provisional effect expected by the technical features of the present invention are treated as described in the specification of the present invention.

According to an embodiment of the present invention, a user can receive recommendations of popular places on an SNS, and the user can intuitively know information about the place.

On the other hand, even if it is an effect not explicitly mentioned herein, it is added that the effect described in the following specification and its provisional effect expected by the technical features of the present invention are treated as described in the specification of the present invention.

1 is a view showing a route guidance service using an SNS according to an embodiment of the present invention.
2 is a view showing a route guidance system using an SNS according to an embodiment of the present invention.
3 is a view showing a user terminal according to an embodiment of the present invention.
4 is a view showing a route guidance server using an SNS according to an embodiment of the present invention.
5 is a diagram showing a route guidance method using an SNS according to an embodiment of the present invention as a specific example.
6 and 7 are diagrams showing a route guidance method using SNS according to an embodiment of the present invention.
8 is a time series diagram illustrating a route guidance method using an SNS according to an embodiment of the present invention.
9 to 16 are diagrams showing how a route guidance method using SNS according to an embodiment of the present invention is implemented in a user terminal.
The accompanying drawings are exemplified by reference for an understanding of the technical idea of the present invention, and the scope of the present invention is not limited thereto.

In describing the present invention, when it is determined that the subject matter of the present invention may be unnecessarily obscured as matters obvious to those skilled in the art with respect to known functions related to the present invention, a detailed description thereof will be omitted.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof does not preclude in advance.

Hereinafter, a route guidance method using an SNS according to the present invention and an embodiment of a server for driving the same will be described in detail with reference to the accompanying drawings, and in the description with reference to the accompanying drawings, the same or corresponding components are the same. Reference numerals are assigned and redundant descriptions thereof will be omitted.

1 is a diagram showing a route guidance service using an SNS according to an embodiment of the present invention.

Referring to FIG. 1, a user 1 may be provided with a route guide using a route guide service 2 to go somewhere. The user 1 can search for a specific topic rather than searching for a specific destination in the route guidance service 2. For example, you can search for a specific area or theme, such as'Gangneung Travel','Busan Entertainment', and'Seoul Cafe'. In this case, the user 1 can search by using a specific character such as shop (#). That is, the user 1 may input search words such as'#Gangneung travel','#Busan entertainment', and'#Seoul Cafe' in the search window of the route guidance service 2.

The route guidance service (2) can be linked with SNS (3) such as Instagram, Facebook, Kakaostory, Twitter, and Band, and can provide SNS information. I can bring it.

Here, the SNS information may include a'image' uploaded to the SNS, and at least one'tag' tagged to the image (eg, hash tagging). Also, the popularity of the image (number of likes, number of hearts, number of sympathies, etc.) and comments (content, number of comments, etc.) may be included in the SNS information. In addition, the SNS information may include all information stored in the SNS server.

The route guidance service 2 may fetch SNS information including an image tagged with a tag of the same text as the search word input by the user 1. For example, if the user (1) enters'#Gangneung Travel' in the search box of the route guidance service (2), the route guidance service (2) retrieves an image tagged with'Gangneung Travel', and POI of the image And display the image on the screen. POIs and images provided by the route guidance service 2 may be displayed on a map to correspond to an actual location or displayed in a list form.

Specifically, the route guidance service 2 determines the recommended POI according to the number of tagging (number of hash-tagged) from the SNS information tagged with the search word, and provides the recommended POI to the user 1, the image of the SNS information. Can be displayed together. In addition, the image displayed to the user 1 may be selected based on the criteria such as popularity (number of likes, number of hearts, number of sympathies, etc.) or number of comments.

As another method, from the SNS information tagged with the search word, images with high ranking are selected based on popularity (likes, hearts, sympathies, etc.) or number of comments, and POI information is extracted from the selected images. And recommended POI can be displayed together.

According to the route guidance service 2, the user 1 can select a popular travel destination by receiving a popular POI from SNS in real time, thereby increasing travel satisfaction. In addition, by receiving an image together, the recommended POI can be intuitively recognized, so that the user 1 can easily use the route guidance service 2.

Meanwhile, in order to implement the route guidance service using the SNS of the present invention, various methods other than the above-described method may be used.

2 is a view showing a route guidance system using an SNS according to an embodiment of the present invention, Figure 3 is a view showing a user terminal according to an embodiment of the present invention, Figure 4 is an SNS according to an embodiment of the present invention It is a diagram showing a route guidance server using. In addition, FIG. 5 is a diagram showing a route guidance method using SNS according to an embodiment of the present invention as a specific example.

Referring to FIG. 2, a route guidance system using an SNS according to an embodiment of the present invention may include a user terminal 10, a route guidance server 20, and an SNS server 30.

The user terminal 10 is a terminal through which a user can use a route guidance service, and may include various devices such as a smart phone, a mobile phone, a tablet PC, a navigation system, an AVN, a notebook computer, a desktop, and a laptop, but is not limited thereto.

Referring to FIG. 3, the user terminal 10 may include units such as a display unit 11, an input unit 12, a communication unit 13, and a control unit 14. The display unit 11 is a display that displays a screen, and the input unit 12 may be an input device such as a keyboard, a mouse, and a microphone. The communication unit 13 is a means for communicating with the route guidance server 20 or the like, and the control unit 14 can manage and process each unit.

The SNS server 30 is a server for driving at least one SNS among social media used in the market. For example, it may be a server of Instagram, Facebook, Kakaostory, Twitter, and Band, but is not limited thereto.

The SNS server 30 may communicate with the route guidance server 20 through the network N. The SNS server 30 may share SNS information with the route guidance server 20. The SNS server 30 may give the route guidance server 20 the authority to crawl and scrape SNS information.

The route guidance server 20 is a server for implementing the above-described route guidance service, and the user terminal 10 is accessible and can be communicated with the user terminal 10 through a network (N).

Network (N) refers to a connection structure in which information exchange is possible between each node such as a terminal and a server. An example of such a network (N) is the Internet, a local area network (LAN), and a wireless LAN. (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), 3G, 4G, 5G, LTE, VoLTE, Wi-Fi, Bluetooth, NFC, RFID, home network, etc. Does not.

4, the route guidance server 20 includes an SNS information processing unit 21, a POI information processing unit 22, a recommended destination processing unit 23, a route processing unit 24, a DB 25, 26, and a communication unit ( 27), may include a unit such as the control unit 28. However, each unit is not necessarily physically classified, and may be integrated as necessary, and even one unit may be separated as necessary. In addition, each unit can be changed or modified as necessary.

The route guidance server 20, upon receiving a search word from the user terminal 10, includes an SNS information processing unit 21 configured to collect a plurality of SNS information including an image tagged with the search word from the SNS server 30; A POI information processing unit 22 for obtaining POI information of the image from a tag representing the POI of the image, among tags tagged to the image of the SNS information; Determine the recommendation priority of the POI information, and transmit the recommendation destinations corresponding to the plurality of POI information to the user terminal 10 according to the recommendation priority, but together with the image of the SNS information corresponding to the POI information A recommended destination processing unit 23 to transmit; And when receiving a route guidance request for at least one destination from the user terminal 10, it may include a route processing unit 24 that generates a route to the route guidance requested destination and transmits it to the user terminal 10.

The SNS information processing unit 21 may collect SNS information from the SNS server 30. The SNS information processing unit 21 may receive a search word input by a user, search for SNS information stored in the SNS server 30, and collect SNS information corresponding to the search word. That is, it is possible to collect SNS information including images in which the search word is tagged (the same text as the search word is tagged). The SNS information processing unit 21 may collect SNS information through a crawling and scraping technique.

The SNS information may include a'image' uploaded to the SNS, and at least one'tag (eg, #+text)' tagged to the image. Also, the popularity of the image (number of likes, number of hearts, number of sympathies, etc.) and comments (content, number of comments, etc.) may be included in the SNS information. In addition, the SNS information may include all information stored in the SNS server 30.

FIG. 5 shows SNS information including an image tagged with'#Gangneung travel' among the SNS information stored in the SNS server 30 where the search word is'#Gangneung travel' in the user terminal 10. However, only 9 pieces of SNS information are shown as an example. Each SNS information includes a photo (the content in parentheses describes the photo), tags (# + text), the number of likes (heart + number), and the number of comments (balloon logo + number).

Here, the SNS information processing unit 21 may collect all SNS information including an image tagged with'Gangneung Travel'.

The POI information processing unit 22 may obtain POI information of the image from collected SNS information. In particular, the POI information processing unit 22 may obtain POI information of the image from a tag indicating the POI of the image among tags tagged to the image of SNS information.

SNS information may include a plurality of tags. Among the plurality of tags, there is the same text as the search word and text indicating the POI of the image. The text indicating the POI of SNS information may be a business name or a place name.

For example, in FIG. 5, the second SNS information includes tags such as'#Gangneung travel' and'#A cafe'. Here, the tag indicating the POI of the image of the SNS information may be a business name such as'A cafe'. That is, the POI information of SNS information #2 may be'A cafe'.

The POI information processing unit 22 may determine the validity of the POI information. As a result of determining the validity of the POI information, if it is determined that it is not valid, the corresponding SNS information may not be processed any more (it may be deleted or excluded from processing).

When determining the validity of POI information, first, it may be determined whether there is a tag of another text other than the same text as the search word. For example, it is determined whether there is a tag other than the search word'#Gangneung travel' in FIG. 5.

When determining the validity of POI information, if there is a tag of text other than the same text as the search word, it may be determined whether the tag is a text included in a pre-stored POI list.

The POI list may be stored in the first DB 25 of the route guidance server 20. The list of POIs can include both national business names and geographical names. In addition, the POI list may include an address for the company name and place name.

For example, in FIG. 5, in the case of SNS information No. 9, there is a tag of'#Cafe worth visiting' in addition to'#Gangneung Travel', but'Cafe worth visiting' is not included in the pre-stored POI list because it is not a business name. In this case, it may be determined that the'visitable cafe' is not valid POI information. In this case, SNS information 9 may be deleted or may not be processed any more.

Meanwhile, when POI information is obtained, when there are a plurality of tags of text other than the same text as the search word, any one of the plurality of tags may be determined as POI information.

For example, in FIG. 5, in the case of SNS information #1, there are tags such as'#A cafe' and'#B beach' in addition to'#Gangneung travel', and both'A cafe' and'B beach' are pre-stored POIs. If it is included in the list, one of the two can be determined as POI information.

The criterion determined by POI information may be a degree of relevance to an image. The degree of relevance to the image may be determined by whether the content of the image and the text of the tag are similar (matched).

The image determination unit of the route guidance server 20 may recognize and classify the contents of the image. POI information may be determined according to the content of the image recognized by the image determination unit.

For example, in FIG. 5, in the case of SNS information #1, if the image determination unit recognizes and classifies the image of SNS information #1 as'cafe', the POI information of the image of SNS information #1 will be'Cafe A'. I can. Alternatively, if the image determination unit recognizes and classifies the image of SNS information #1 as'indoor', the POI information of the image of SNS information #1 may be'cafe A'corresponding to the room.

The image determination unit may be provided as an independent unit in the route guidance server 20 or may be included in the POI information processing unit 22. The image determination unit may store one or more factors (eg, trees, sea, clouds, desks, chairs, lights, etc.) capable of classifying the image content, and may infer the image content by finding the factor from the image. However, it is not limited in this way. The image determination unit may learn image determination including artificial intelligence.

The criterion for determining the POI information may be a degree of relevance to the content of posts included in SNS information. For example, in FIG. 5, in the case of SNS information No. 1, if the content of a post included in the SNS information is an article about a cafe (for example, an article including the word cafe), POI information of the image of the corresponding SNS information Can be'A cafe'.

In addition, a criterion for determining the POI information may be determined by the age, sex, taste, and recent visit of the user or the creator of the SNS information. Alternatively, the absolute priority may be determined for each POI type, for example, the company name may be set to have a higher priority than the nomination name, whereby, in the first SNS information of FIG. 5, the company name'A cafe' It can be determined by POI information.

In addition, the criteria for determining the POI information among a plurality of tags may vary.

Meanwhile, when POI information is obtained, the SNS information processing unit 21 may classify the SNS information by category according to the obtained POI information. The category may include cafes, restaurants, accommodations, convenience facilities, cultural facilities, marts, stores, place names, etc., but is not limited thereto. When the SNS information is stored in the second DB 26, it may be stored for each category, or a corresponding category may be displayed and stored in the SNS information.

The SNS information stored for each category may provide the SNS information to the user for each category according to a user input. For example, a user can enter #Gangneung travel as a keyword and select a cafe as a category.In this case, the recommended destination processing unit 23 collects SNS information from the SNS server 30 based on #Gangneung travel and , After acquiring POI information, after classifying SNS information by category, a recommended destination may be provided based on POI information and SNS information about cafes.

Meanwhile, the SNS information processing unit 21 may select the SNS information by determining the suitability of the SNS information before storing the SNS information in the second DB 26. The SNS information processing unit 21 may no longer process the SNS information determined to be inappropriate as a result of determining the suitability of the SNS information. For example, the corresponding SNS information may be deleted or may not be stored in the second DB 26.

The suitability of SNS information may be determined by image content. The content of the image may be determined by the above-described image determination unit.

For example, since an image including a person is not valid, SNS information including the image may be determined to be inappropriate. An image including a person may not be information desired by the user, and when provided to the user, there is a fear of infringement of the portrait right of the person, and thus may be determined as inappropriate SNS information.

In FIG. 5, since SNS information No. 8 includes an image of a person, it may be determined as inappropriate SNS information.

Meanwhile, the SNS information processing unit 21 may select SNS information using a falling technique or the like. The SNS information processing unit 21 is, in the case of an image with a rate of increase of popularity (like, heart, sympathetic, etc.) per unit time of more than a reference value, it is highly likely that it is SNS information posted for advertisement, so that the SNS including the image The information may be judged to be inappropriate. For example, when the popularity increase rate per unit time of the image is 100 (images/second) or more, since the image is advertising, it may be determined that SNS information including the image is inappropriate.

In Figure 5, SNS information 6 has a fairly high number of likes (hearts + numbers) of 2000, but extracts the increase rate of the number of likes per unit time from the corresponding SNS information, and when the increase rate is more than the reference value, SNS information 6 is inappropriate SNS information. It can be judged as.

In short, when determining the suitability of the SNS information, SNS information including at least one of an image including a person and an image whose popularity increase rate per unit time is greater than or equal to a reference value may be determined to be inappropriate.

Meanwhile, the POI information processing unit 22 may determine a recommendation order of POI information before or after the SNS information is stored in the second DB 26. The recommendation ranking of the POI information is calculated from all collected SNS information, SNS information determined to be appropriate in the determination of the suitability of the SNS information, or classified into a specific category, or from the SNS information stored in the second DB 26. I can. The recommendation order of POI information may be determined according to the number of times (number of hash-tagged) of the corresponding POI text within the SNS information group.

For example, if the number of tagging of'A cafe' is the largest among SNS information collected in FIG. 5, the first priority POI information may be'A cafe'. In the same way, recommendation rankings, such as 2nd priority and 3rd priority, may be determined for each POI information.

In addition, a recommendation ranking of POI information may be determined in consideration of not only the number of times the corresponding POI information is tagged, but also the popularity of the image tagged with the corresponding POI information.

In addition, the recommendation ranking of POI information may be determined according to the latest order of SNS information. That is, the more recent SNS information is posted, the higher the POI information recommendation priority.

The method of determining the recommendation priority of POI information is not limited to the above-described method, and the recommendation priority of POI information may be determined according to various methods. In addition, according to a user input, it may be determined whether the ranking of recommendations is determined in the order of most popularity or the ranking of recommendations in the order of the latest.

When the recommendation order of POI information is determined, POI information and SNS information may be stored. POI information and SNS information may be stored in the second DB 26. The first DB 25 and the second DB 26 do not need to be physically separated, and may be integrated as necessary. In addition, although only two DBs are shown in FIG. 4, an additional DB may be further included.

The recommendation destination processing unit 23 transmits the recommendation destinations corresponding to the plurality of POI information to the user terminal 10 according to the recommendation ranking, but may also transmit the image of the SNS information corresponding to the POI information. .

That is, the recommendation destination processing unit 23 transmits not only the recommendation destination (POI) but also the image of SNS information to the user terminal 10 together.

The recommended destination to be transmitted is determined according to the recommendation order of the POI information, and, for example, the recommendation destination for the top N POI information may be transmitted (N is a natural number of 1 or more). In FIG. 5, it can be seen that the top three recommended destinations have been transmitted.

The image transmitted with the recommended destination may be determined according to a specific index, and the specific index is at least one of the popularity of the image (number of likes, number of hearts, number of sympathies, etc.), the number of comments on the image, and the latest order of the image. Can be calculated by For example, the index may be calculated as the sum of the popularity of the image and the number of comments on the image, but is not limited thereto.

If the POI information recommendation ranking in FIG. 5 is determined as ① Cafe A, Beach B, and Restaurant C as shown in FIG. 5, the image to be presented with each recommendation destination may be No. 1, No. 4, or No. 5 depending on the popularity index or the latest index. .

The SNS information transmitted by the recommendation destination processing unit 23 to the user terminal 10 may include not only an image, but also information on the popularity of the image or information on the number of tagging times of the recommended destination. 5, in addition to the recommended destination and image, the popularity of the image (heart + number) and the number of tagging of the recommended destination (# + number) are also included in FIG. 5. Accordingly, the user can intuitively recognize the recommended destination.

In addition, when the recommendation destination processing unit 23 transmits the recommendation destination and SNS information to the user terminal 10, the recommendation destination and SNS information may be displayed on the map of the user terminal 10. That is, the recommended destination is displayed on the actual location on the map, and SNS information can also be displayed. Accordingly, the user can intuitively recognize the recommended destination.

Alternatively, when the recommendation destination processing unit 23 transmits the recommendation destination and SNS information to the user terminal 10, the recommendation destination and SNS information may be displayed on the user terminal 10 in a list format. That is, the recommended destinations are not displayed on the map, and may be displayed as a list organized by rank.

In addition, whether to display the recommended destination and SNS information on a map or in a list format may be determined according to a user input.

When the user receives N recommended destinations and images (SNS information), the user may request a route while selecting one or more destinations.

When the route processing unit 24 receives a route request for at least one destination from the user terminal 10, the route processing unit 24 may generate a route for the route requested destination. When generating a route, the route processing unit 24 may generate an optimal route using a current location as a starting point and a selected destination as a destination. There may be a plurality of generated paths.

On the other hand, when there are two or more destinations selected by the user terminal 10, the route processing unit 24 may generate an optimal route through which all destinations are available.

The route processing unit 24 may transmit the generated route to the user terminal 10 and provide route guidance for a route selected according to a user input.

In FIG. 4, the communication unit is a unit for communicating with the user terminal 10 and the SNS server 30, and the control unit is a unit that manages and processes each of the above-described units.

Meanwhile, although not shown in FIG. 4, the route guidance server 20 may further include an additional unit such as an additional service processing unit. The additional service processing unit may provide search word information input by a plurality of users (all users of the route guidance service of the present invention) in real time. That is, it is possible to provide a real-time popular search word. In addition, the additional service processing unit may provide a recommended search word. The recommended search word may be derived by analyzing user information such as age, gender, taste, etc. of a plurality of users (all users of the route guidance service of the present invention) and information about the actually input search word. In addition, the additional service processing unit may provide the weather.

The additional service processing unit may process all of the above-described functions, and may be separated into detailed units as necessary to process some of the above-described functions. The additional service processing unit can learn including artificial intelligence.

6 and 7 are diagrams illustrating a route guidance method using an SNS according to an embodiment of the present invention, and FIG. 8 is a diagram illustrating a route guidance method using an SNS according to an embodiment of the present invention in time series.

Collecting a plurality of SNS information including an image tagged with the search word from a route guidance SNS server using SNS according to an embodiment of the present invention; Obtaining POI information of the image from a tag indicating the POI of the image among tags tagged to the image of the SNS information; Determining a recommendation order of the POI information; Transmitting a recommendation destination corresponding to the plurality of POI information to a user terminal according to the recommendation ranking, and transmitting the image of the SNS information corresponding to the POI information together; Receiving, from a user terminal, a route request for at least one destination among the recommended destinations; And generating a route to a destination for which the route is requested and transmitting the route to the user terminal.

6, a route guidance method using an SNS according to an embodiment of the present invention includes a search word receiving step (S110), a SNS information collection step (S120), an image POI information acquisition step (S130), and a POI information. It may include a step of determining a recommendation priority (S140), a step of transmitting a recommendation destination and an image to the user terminal (S150), a step of receiving a path request (S160), and a step of generating and transmitting a path (S170).

The search word receiving step (S110) is a step in which the route guidance server receives the search word when the user inputs a search word in the user terminal. In particular, when # is included in the front end of the search word, the route guidance server uses the SNS information.

If # is not included in the search word, the route guidance server does not use SNS information, and performs the same function as general navigation. That is, a POI corresponding to a search word may be provided to a user terminal from a previously stored POI list, and a route may be generated and guided according to a user request.

The SNS information collection step (S120) is a step of collecting SNS information from an SNS server when a # search word is input, and a crawling or scraping technique may be used. When collecting SNS information, a plurality of SNS information including an image tagged with the search word is collected.

The collected SNS information may include a'image' uploaded to the SNS, and at least one'tag (eg, #+text)' tagged to the image. Also, the popularity of the image (number of likes, number of hearts, number of sympathies, etc.) and comments (content, number of comments, etc.) may be included in the SNS information. In addition, the SNS information may include all information stored in the SNS server.

The step of obtaining POI information of an image (S130) is a step of obtaining POI information of an image from collected SNS information. Specifically, among tags tagged to the image of the SNS information, POI information of the image may be obtained from a tag indicating the POI of the image.

When a tag indicating the POI of the image is included in a pre-stored POI list, the tag may be determined as POI information of the image. The pre-stored POI list may be a list including national business names, geographical names, and addresses for them.

When there are a plurality of tags indicating the POI of the image, it may be determined as POI information of the image that has a high relevance to the image. The degree of relevance to the image may be determined based on whether the text of the tag matches the content of the image.

The step of determining the recommendation ranking of POI information (S140) is a POI according to the number of tags (tests) representing the POI of the image, the popularity of the image (likes, hearts, sympathies, etc.), the number of comments on the image, the latest order of the image, etc. This is the step of determining the ranking of information recommendations.

In the step of transmitting the recommendation destination and image to the user terminal (S150), the recommendation destination corresponding to the plurality of POI information is transmitted to the user terminal according to the recommendation ranking, but the image of the SNS information corresponding to the POI information is transmitted together. It is a step to do.

That is, as a step of transmitting an image corresponding to the POI information while providing a recommendation destination corresponding to the information on the top N POIs in the recommendation ranking, the image to be transmitted is the popularity of the image (number of likes, number of hearts, number of sympathies, etc.), image It can be determined by an index calculated according to the number of comments and the latest order of images.

The route request receiving step (S160) is a step of receiving a route request for at least one destination among the recommended destinations from the user terminal.

In the step of generating and transmitting a route (S170), a route to a destination for which the route is requested is generated and transmitted to the user terminal. When there are a plurality of selected destinations, a route capable of passing through all of the plurality of destinations may be generated. In addition, a plurality of paths may be transmitted.

Thereafter, the route guidance server may transmit (provide) the route guidance according to the user's route selection.

Referring to FIG. 7, the route guidance method using SNS according to an embodiment of the present invention includes a search word receiving step (S210), SNS information collection step (S220), POI information validity determination step (S230), and SNS information classification step. (S240), SNS information selection step (S250), POI information recommendation priority determination step (S260), SNS information storage step, recommendation destination and image transmission step (S270), route request receiving step (S280), path creation and transmission step It may include (S290).

However, the relationship between each step is not necessarily limited as described above, and may vary as necessary. For example, the SNS information classification step (S240) and the SNS information selection step (S250) may be interchanged with each other.

The search word receiving step S210 is a step in which the route guidance server receives the search word when the user inputs the search word in the user terminal, and may be the same as S110 described above.

The SNS information collection step (S220) is a step of collecting SNS information from the SNS server when a # search word is input, and may be the same as S120 described above.

The POI information validity determination step (S230) is a step of obtaining POI information of an image from the collected SNS information and determining whether the corresponding POI information is valid. As a result of determining the validity of the POI information, if it is determined that it is not valid, the corresponding SNS information may not be processed any more (it may be deleted or excluded from processing). When determining the validity of POI information, if there is a tag of text other than the same text as the search word, it may be determined whether the tag is a text included in a pre-stored POI list.

If none of the POI information obtained from the collected SNS information is valid, you can go back to the stage of collecting SNS information.

The step of classifying SNS information (S240) is a step of classifying SNS information by category according to the obtained POI information. The SNS information may be stored for each category, or a corresponding category may be displayed and stored in the SNS information.

The step of selecting SNS information (S250) is a step of selecting SNS information by determining suitability of the SNS information. As a result of determining the suitability of the SNS information, the SNS information determined to be inappropriate may no longer be processed. The suitability of SNS information may be determined by image content. The content of the image may be determined by the above-described image determination unit. When determining the suitability of the SNS information, SNS information including at least one of an image including a person and an image whose popularity increase rate per unit time is greater than or equal to a reference value may be determined to be inappropriate. The SNS information processing unit may select SNS information using a falling technique or the like.

The POI information recommendation priority determining step (S260) is a step of determining a POI information recommendation priority from SNS information determined to be suitable as a result of the suitability determination. The recommendation order of POI information may be determined according to the number of times (number of hash-tagged) of the corresponding POI text within the SNS information group.

The step of storing SNS information is a step of storing SNS information, and the SNS information may be stored in the second DB. The step of storing SNS information may be omitted.

The recommended destination and image transmission step (S270) is a step of transmitting the recommended destination corresponding to the plurality of POI information to the user terminal according to the recommendation ranking, but transmitting the image of the SNS information corresponding to the POI information together. , It may be the same as S150 described above.

The route request receiving step (S280) is a step of receiving a route request for at least one destination among the recommended destinations.

In the step of generating and transmitting a route (S290), a route to a destination requested for a route is generated and transmitted to a user terminal, and a route is guided according to a user input. When there are a plurality of selected destinations, a route capable of passing through all of the plurality of destinations may be generated. In addition, a plurality of paths may be transmitted.

Thereafter, the route guidance server may transmit (provide) the route guidance according to the user's route selection.

Referring to FIG. 8, the route guidance service according to the present invention may be made in a relationship between a user terminal 10, a service server 20, and an SNS server 30.

The SNS server 30 may store posts uploaded to the SNS and reaction information thereto (S301).

The user may input a search word to the input unit of the user terminal 10 (S302). The user terminal 10 may transmit a search word to the service server 20 (S303).

The service server 20 may receive the search word transmitted by the user terminal 10 and determine whether the search word # requests a search (S320). Here, “#search” means searching for a destination corresponding to a specific topic (theme) using SNS information, unlike direct search for a general destination in the navigation.

The service server 20 may determine whether to request a search # according to whether there is a # at the front end of the search word. When the search word is # search term (# + search term), the service server 20 may search for SNS information based on the search word (S304) and collect SNS information (S305). The service server 20 may obtain SNS information from the SNS server 30 through a crawling and scraping technique.

The collected SNS information may include a'image' uploaded to the SNS, and at least one'tag (eg, #+text)' tagged to the image. Also, the popularity of the image (number of likes, number of hearts, number of sympathies, etc.) and comments (content, number of comments, etc.) may be included in the SNS information. In addition, the SNS information may include all information stored in the SNS server.

The service server 20 may acquire POI information from the collected SNS information (S306). The service server 20 may classify the collected SNS information by POI category (S307). The service server 20 may select collected SNS information (S308). That is, among the collected SNS information, one containing a person image or one containing an advertising image may be excluded. The SNS information processing unit may select SNS information using a falling technique or the like.

The service server 20 may determine a recommendation priority of POI information (S301). The service server 20 may store recommendation ranking, POI information, and SNS information (S310).

The service server 20 may transmit the recommended destination and image to the user terminal (S311). The service server 20 may transmit information such as the popularity of the image and the number of times of tagging the corresponding recommended destination together. The service server 20 may transmit a plurality of recommended destinations and images to the user terminal (S311). The recommended destination and image may be displayed corresponding to the actual location on the map. Recommended destinations and images can be displayed in a list format.

Information such as a recommended destination and an image, a popularity of an image, and the number of times of tagging a corresponding recommended destination may be displayed on the user terminal 10 (S312 ). According to the user's input of selecting a destination, the user terminal 10 may request the service server 20 to select a destination and a route (S313). The user terminal 10 may request a route for a plurality of destinations.

The service server 20 may generate a route according to the selected destination (S314), and if there are a plurality of selected destinations, it may generate a route through which all destinations can be passed. There may be a plurality of generated paths.

The service server 20 may transmit the generated path to the user terminal (S315). A route is displayed on the user terminal (S312), and the route may be displayed on a map. A plurality of routes may be displayed, and only one of the plurality of routes may be selected.

According to the user's path selection input, the user terminal 10 may request the service server 20 for path selection and guidance (S317). The service server 20 may transmit route guidance information to the user terminal (S318).

9 to 16 are diagrams showing how a route guidance method using SNS according to an embodiment of the present invention is implemented in the user terminal 10.

9 may be the first screen in which the user drives the route guidance server. A member registration window may be displayed on the user terminal 10. The member registration window 401 may include a name input box, an email address input box, a password input box, and the like. Furthermore, a field for inputting information on the user's age, gender, taste, etc. may be added. On the other hand, if you are a user who has already registered as a member, you can move to the login window. In addition, the login state of the user may be maintained according to the setting.

10 is a screen in which a user can input a search word. A search window 402 is displayed on the screen of the user terminal 10. A symbol such as # may be displayed as a default value in the search box, and accordingly, there is an advantage that the user does not have to enter the # symbol. However, it is not limited in this way.

In the search window 402, a search icon 403 for requesting a search may be displayed together.

A button 404 for directly searching for a destination may be displayed on the screen of the user terminal 10. In FIG. 10, it is indicated by a'direct search' button. When a user wants to directly search for a destination other than a #search word like in general navigation, the'Direct Search' button can be used. When the'direct search' button is input, the # symbol may disappear in the search window 402. If necessary, the'direct search' button can be deleted. In this case, if the user directly inputs # and inputs a search word, # search is performed, and if the user inputs a search word without entering #, a general search may be performed.

A button 405 for recommending a # search term may be displayed on the screen of the user terminal 10. In FIG. 10, it is indicated by a'receive recommendation' button. When the user wants to receive a recommendation for a #search term, the user can use the'request recommendation' button. If the user inputs and operates the'receive recommendation' button, the #search word considering the user's age, gender, taste, etc. can be recommended. This #search word recommendation can be made by artificial intelligence.

Weather information may be displayed on the screen of the user terminal 10. In addition, on the screen of the user terminal 10, the real ## search word ranking 406 may be displayed. The real-time #search word ranking is the popularity ranking of #search words currently entered by other users.

11 shows a state in which a user inputs #Busan travel as a #search word in the search window 402.

12 shows a state in which the user inputs #Busan travel in the search window 402 and inputs the search icon 403.

#Busan travel result is displayed on the user terminal 10. That is, the user terminal 10 is provided with recommended destinations according to the top five POI information. Specifically, the location of the recommended destination (P), the SNS image of the recommended destination (I), and information of the recommended destination (S) are displayed.

The location (P) of the recommended destination is displayed on the actual location on the map (M). The SNS image (I) for the recommended destination may be determined to have a high index calculated according to the popularity of the image (number of likes, number of hearts, number of sympathies, etc.) and number of comments. The information (S) of the recommended destination may include the ranking of the recommended destination, a business name (or place name), the popularity of the recommended destination, and the popularity of the image.

In FIG. 12, the ranking of the recommended destinations is indicated by a circle number, a business name (or place name) is indicated by the text after the circle number, the popularity of the recommended destination is indicated by # + number, and the popularity of the image is indicated by heart + number.

On the other hand, a checkable button (C) is also displayed on the provided recommended destination, and the user can operate (touch, etc.) the button (C).

On the user terminal 10, a button 407 for viewing the recommended destinations in popularity ranking and a button 408 for viewing in the latest ranking may be displayed. In FIG. 12, the'Best Top 5'button and the'Recent Top 5'button are indicated.

The'Best Top 5'button is a command button to display the recommended destinations corresponding to the 5 POI information with the highest popularity, and the'Recent Top 5'button is a command button to display the recommended destinations corresponding to the 5 POI information with the latest ranking. It could be a command button. Each button may be displayed with a checkable icon.

As a result of inputting the # search term by the user, the top five recommended destinations having a high popularity priority may be displayed on the user terminal 10 as a default. When the user inputs and operates the check icon of the'Recent Top 5'button, the user terminal 10 may display five recommended destinations with the highest priority.

On the user terminal 10, a command button 409 to display the recommended destinations by category may be displayed. In FIG. 12, it is shown as a'category selection' button. When the user inputs the'select category' button, a category option window is displayed, and the user can select and input one of the categories, and accordingly, the recommended destinations for the corresponding category can be displayed as the top five. have.

The user terminal 10 may display a button 410 for viewing the recommended destination result in a list format, a button 411 for viewing on the map M, a button 412 for knowing the current location, and the like.

As a result of the user inputting the # search word, the recommended destination may be displayed first on the map M on the user terminal 10. When the user manipulates (touch, etc.) the button 410 for viewing in a list format, the recommended destination may be changed and displayed in a list format. In addition, when trying to know the current location, the user can manipulate (touch, etc.) a button 412 for knowing the current location.

A button 413 for requesting a route may be displayed on the user terminal 10. The button 413 may be activated only when the user checks at least one of the recommended destinations (input operation of the check button C). In Fig. 12, it is shown as a'route request' button.

13 shows a state in which the button 410 for viewing the recommended destination results in a list format is activated and the recommended destination results are displayed in a list format.

In FIG. 13, the same results as in FIG. 12 are displayed in a list format in order of order. The user may input and operate a button 411 for viewing on the map M in order to return to the form displayed on the map M. On the other hand, even when the recommended destination is displayed in a list format, a check button C for the user to select at least one destination is displayed on the user terminal 10, and the route request button 413 allows the user to select at least one destination. It can only be activated when selected.

14 shows a screen in which a user selects at least one of recommended destinations. The user chose ①AA confectionery and ⑤EE cafe. Thereafter, the user can input the route request button 413. When the user manipulates the route request button 413, the route guidance server may receive a route request.

15 shows a screen in which a plurality of paths R are provided. The route R may be shown on the map M. When a plurality of destinations are selected, an optimal route R capable of passing through all destinations may be provided. In FIG. 15, the departure point 414 may be the current location (or may vary according to user settings), and the stopover point 415 and the destination 416 may be determined as destinations selected by the user.

Information 417 about the path R may be displayed on the user terminal 10. The route R may include a recommended route, a shortest route, a free route, and the like. The information 417 on the route R may include a distance, a required time, a required cost, and the like of the route R.

The user may select any one of a plurality of routes R. A user selectable button may be provided in the information 417 on the path R.

A route guidance request button 418 may be displayed on the user terminal 10. When the user inputs the route guidance request button 418, route guidance may be started for the route selected by the user.

FIG. 16 shows the result of a user inputting a'direct search' button to directly search for a destination in FIG. 10, inputting an AA cafe in the search window 402, and then inputting a search icon 403. . That is, FIG. 16 is a result of the general search function, not the # search. The user terminal 10 may be provided with a button 419 for #search.

The search result may be displayed on the map (M). The search result may be displayed as a destination location (P), a destination name (N), a selection button (C), and the like. The user may select a destination and request a route through the route request button 413.

The above-described user terminal screen is exemplary, and the content of the invention is not limited to the above example.

The scope of protection of the present invention is not limited to the description and expression of the embodiments explicitly described above. In addition, it is added once again that the scope of protection of the present invention may not be limited due to obvious changes or substitutions in the technical field to which the present invention pertains.

1: user
2: route guidance service
3: SNS
10: user terminal
20: route guidance server
30: SNS server

Claims (8)

Receiving a search word from a user terminal;
Collecting, from an SNS server, a plurality of SNS information including an image tagged with the search word;
Obtaining POI information of the image from a tag indicating the POI of the image among tags tagged to the image of the SNS information;
Determining a recommendation order of the POI information;
Transmitting a recommendation destination corresponding to a plurality of the POI information to a user terminal according to the recommendation ranking, and transmitting the image of the SNS information corresponding to the POI information together;
Receiving, from a user terminal, a route request for at least one destination among the recommended destinations; And
Including the step of generating a route to the requested destination and transmitting the route to the user terminal,
Route guidance method using SNS.
The method of claim 1,
In the step of obtaining POI information of the image,
When the tag indicating the POI of the image is included in the pre-stored POI list,
Determining the tag as POI information of the image,
Route guidance method using SNS.
The method of claim 1,
In the step of obtaining POI information of the image,
When there are multiple tags representing the POI of the image,
Determining that the image has a high relationship as POI information of the image,
Route guidance method using SNS.
The method of claim 1,
The recommendation priority is determined by the number of tagging tags representing the POI of the image,
Route guidance method using SNS.
The method of claim 1,
The image of the SNS information transmitted to the user terminal,
It is determined according to an index calculated by at least one of the popularity of the image, the number of comments on the image, and the latest order of the image,
Route guidance method using SNS.
The method of claim 1,
After the step of obtaining POI information of the image,
Further comprising the step of classifying the SNS information by preset category according to the POI information,
Route guidance method using SNS.
The method of claim 1,
After the step of collecting the plurality of SNS information,
Further comprising the step of determining the suitability of the SNS information,
SNS information including at least one of an image including a person and an image whose popularity increase rate per unit time is greater than or equal to the reference value is determined to be inappropriate,
Route guidance method using SNS.
When receiving a search word from a user terminal, an SNS information processing unit that collects a plurality of SNS information including an image tagged with the search word from an SNS server;
A POI information processing unit that obtains POI information of the image from a tag indicating a POI of the image among tags tagged to the image of the SNS information;
A recommendation for determining a recommendation priority of the POI information, and transmitting a recommendation destination corresponding to the plurality of POI information to a user terminal according to the recommendation priority, but transmitting the image of the SNS information corresponding to the POI information together Destination processing unit; And
When receiving a route guidance request for at least one destination from the user terminal, comprising a route processing unit for generating a route to the destination for which the route guidance has been requested and transmitting it to the user terminal,
Route guidance server using SNS.

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