KR20180042968A - System and method for providing tour information using big data - Google Patents

Abstract

The present invention relates to a system and method for providing tour information using big data, capable of not only reducing a search time and inconvenience of a search when planning a tour by analyzing contents by an online access to a social network service (SNS) like Facebook or Twitter through a tour information providing application mounted in a terminal and generating and providing the tour information and tour schedule information based on the analyzed contents, but also increasing tour pleasure by providing accurate tour information.

Description

BACKGROUND OF THE INVENTION Field of the Invention [0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to travel information providing technology, and more particularly, to a travel information providing system and method using big data for providing travel information based on contents uploaded to a social network service (SNS).

The tourism industry has created many jobs and is one of the largest industries in the world.

Today, the industry accounts for about 5 percent of global GDP, about 10 percent of the world's annual investment, and in some developing countries, about 50 percent of the total investment. With an average annual average of more than one billion tourists traveling around the world, the tourism industry is recognized as a high value-added industry.

Currently, however, there is no global company that provides integrated platform services based on tourism contents that are absolutely necessary for business while reflecting the attributes of tourism industry.

As a result, tourism companies around the world are engaged in independent marketing activities, such as opening an individual website or contacting a customer through simple online channels such as blogs.

On the other hand, companies such as Expedia.com, which provide online travel services, are focusing on simple commerce such as airline, hotel reservation, cruise product, and overseas travel product sales.

It is not possible to provide services based on preference, which are optimized for each tourist, such as tourist related content, news, and knowledge services. Especially, it is not possible to provide a service for tourism content platform based on Social Network Service (SNS) required in the smartphone age.

As a result, operators in each tourism sector that provide tourism services have difficulties in managing and promoting customers because they use separate reservation programs and individual approval modules in addition to existing web sites and blogs.

In addition, there is a demand for services centered on cultural tourism contents that can link social networks, smart phones, tablet PCs, and smart TVs that are spreading around the world at the same time .

Meanwhile, with the advent of various digital information such as SNS, photos, and videos, enterprises are faced with larger, faster, more diverse and complex data.

This is the age of big data, in which the amount of data increases exponentially. However, more precisely, it is the big data to find meaningful patterns hidden in the data and to predict the future based on them.

In other words, data analysis, which is increasing day by day, can double productivity and lead to new business opportunities.

KR 10-2013-0082741 A KR 10-1204880 B KR 10-2013-0022010 A KR 10-2013-0110279 A

A first object of the present invention derived from the above background is to generate and provide new travel schedule information reflecting the travel late information that the user uploads in real time through the social network service server.

In addition, the second object is to extract the user's reaction information from the travel late information uploaded through the social network service, and to provide the element information causing the negative response to the travel company when the response is negative, thereby improving the quality of the tourism service .

A third object of the present invention is to provide a system and method for managing a travel photograph or a travel time information according to a user type by analyzing a type of a user uploading a travel time information, To provide personalized information by generating and providing schedule information by matching the travel period with uploaded user type information.

The fourth object is to provide the visit schedule information in the form of a map or a list, further provide a category for a destination of a travel destination, and provide various visit schedule information for each category. In addition, when the visit schedule information is provided, the direction and the travel distance of each course are displayed so that the visit schedule information can be separately managed for each course.

A fifth object of the present invention is to provide a location based service while generating travel schedule information composed of surrounding location information based on the current location information by grasping the current location information of the user.

The sixth object is to provide a sticker that gives a user who uploads late travel information an opportunity to participate in various events, and the sticker is given by the users who refer to the travel late information uploaded by the user, .

The seventh objective is to translate the language into a language (native language) that the user can understand or understand when the user is provided with the travel information in a non-domestic area such as an overseas trip.

The eighth purpose is to increase the efficiency of the advertisement by selecting and providing the advertisement that the user is interested based on the travel late information uploaded by the user.

The system for providing travel information using the Big Data according to the present invention periodically transmits current location information through a wired / wireless communication network, uploads later travel information to a social network service server, A user terminal equipped with a travel information providing application for providing customized travel information reflected; And a sentence analyzing unit for extracting text from the comment information uploaded from the user terminal device to the social network service server, separating the string of sentence units into tokens, reconstructing the string into a parse tree, And an information analyzer for analyzing the parsed words to identify at least one of position information, reaction information, and topic information in late travel information, thereby generating a travel information file including information identified by the information analyzing unit, And a big data analysis server for storing the later travel information by matching with the uploaded user terminal identification information.

In addition, the big data analysis server determines whether the user's reaction to the travel destination is positive or negative according to the reaction information detected by the information analysis unit, and when the user response is negative, And a reaction processing unit for transmitting the information about the element causing the negative reaction to the destination company.

At this time, when the improvement information on the negative response element is received from the travel company, the response processing unit transmits a message to the user terminal that uploaded the negative response information that the improvement of the response element is completed.

Meanwhile, the method for providing travel information using Big Data according to the present invention is performed in a Big Data Analysis Server including a sentence analyzing unit and an information analyzing unit, and the sentence analyzing unit analyzes the travel time information Parsing the extracted text into a token and reconstructing the extracted text into a parse tree and parsing the parsed text, and the parser extracts the parsed word Analyzing at least one of location information, reaction information, and topic information in late-travel information, and the information analyzing unit generates a travel information file including information identified from the text, And matching the terminal identification information with the terminal identification information, The features.

According to the present invention, new travel schedule information is generated and provided by using a travel time information that a user uploads in real time through a social network service server, so that when a user plans a trip to travel at a specific place, The first effect is obtained which can reduce the cumbersome operation and the search time.

In addition, if the reaction information is extracted from the travel information uploaded through the social network service, if the response is negative, the information of the factor causing the negative response to the travel company is provided to thereby provide the response of the traveler to the travel company or the merchant Feedback is possible. Therefore, it is easy to grasp the points that need improvement according to the user response, so that it is possible to improve the vulnerability, and the second effect that can improve the quality of the tourism service is derived.

In addition, when a specific element is improved according to the user response, a third effect that the user who has a negative opinion on the element is informed that the element has been improved, do.

A fourth effect of doubling the pleasure of travel can be derived by providing travel schedule information with information extracted from the travel history information reflecting the user type, do.

In addition, it is possible to provide travel schedule information in the form of a map or a list, and further provide a category for a destination of a travel destination, thereby providing various visit schedule information for each category. In addition, when providing the visit schedule information, the fifth effect is obtained that the direction and the travel distance for each course are displayed and the visit schedule information can be separately managed for each course.

Also, the sixth effect is obtained by providing the location-based service while generating the travel schedule information including the neighboring location information based on the current location information by grasping the current location information of the user.

In addition, it is possible to provide a sticker that gives a user who uploads the travel information information an opportunity to participate in various events, but the sticker is given by the users who refer to the travel information uploaded by the user, thereby improving the accuracy and quality of the uploaded information The seventh effect is obtained.

Furthermore, when the user receives travel destination information in a non-domestic area such as a foreign travel, the eighth effect is provided which is translated into a language (native language) that the user can understand or understand.

In addition, based on the information uploaded through the social network service, it is possible to grasp the location information of the user, reaction information on specific matters such as travel destinations, and topic information, extract and provide the advertisement data accordingly, And can be more efficient than an advertisement method that is indiscreetly provided to an unspecified number of users.

1 is a diagram illustrating a configuration of a travel information providing system using big data according to an embodiment of the present invention.
2 is a block diagram illustrating a configuration of a big data analysis server according to an embodiment of the present invention.
FIGS. 3A and 3B are diagrams for explaining elements when analyzing a sentence constituting late travel information provided through a social network service server;
4 is a block diagram illustrating a configuration of a travel information providing server according to an embodiment of the present invention.
5 is a flowchart illustrating a method of providing travel information using big data according to an embodiment of the present invention.

It is noted that the technical terms used in the present invention are used only to describe specific embodiments and are not intended to limit the present invention. In addition, the technical terms used in the present invention should be construed in a sense generally understood by a person having ordinary skill in the art to which the present invention belongs, unless otherwise defined in the present invention, Should not be construed to mean, or be interpreted in an excessively reduced sense.

In addition, when a technical term used in the present invention is an erroneous technical term that does not accurately express the concept of the present invention, it should be understood that technical terms can be understood by those skilled in the art. In addition, the general terms used in the present invention should be interpreted according to a predefined or prior context, and should not be construed as being excessively reduced.

Furthermore, the singular expressions used in the present invention include plural expressions unless the context clearly dictates otherwise. In the present invention, terms such as "comprising" or "comprising" and the like should not be construed as encompassing various elements or stages of the invention, Or may further include additional components or steps.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to like or similar elements throughout the several views, and redundant description thereof will be omitted.

In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. It is to be noted that the accompanying drawings are only for the purpose of facilitating understanding of the present invention, and should not be construed as limiting the scope of the present invention with reference to the accompanying drawings.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described with reference to the accompanying drawings.

FIG. 1 is a diagram illustrating a configuration of a travel information providing system using big data according to an embodiment of the present invention. Referring to FIG.

As shown in FIG. 1, the travel information providing system using Big Data includes a social network service server 10, a user terminal 20, a big data analysis server 30, a travel information providing server 40, And includes a terminal 50.

The social network service server 10 refers to a server that operates social network services such as Facebook, Instagram, and Twitter.

The user terminal 20 periodically transmits current location information through a wired / wireless communication network, and mounts a travel information providing application according to an embodiment. According to the user's operation, the travel information is uploaded to the social network service server that has made online access through the travel information providing application. The current position information of the user terminal device 20 is a signal transmitted from the GPS module mounted on the user terminal device 20. [

The user uploads the travel late information including the photograph information related to the area visited by the user himself / herself, the spot, and the like through the travel information providing application installed in the user terminal device 20. [

Furthermore, the user terminal 20 is provided with customized travel information reflecting the taste of the user among the travel late information uploaded to the social network service server through the travel information providing application.

In one embodiment, the user terminal 20 may be implemented by various devices, such as a desktop, a notebook, a smart phone, a tablet PC, and the like. That is, it is possible to upload the later travel information from the user terminal 20, and at the same time, to receive the customized travel information reflecting the personal information such as the location and the taste of the user.

The big data analysis server 30 provides the travel information providing application to the user terminal device 20. [ When the travel late information is uploaded to the social network service server 10 through the travel information providing application, the user terminal 20, which has uploaded the travel late information by generating a plurality of travel information files by analyzing the uploaded travel late information, And stores the matching information.

The travel information file includes information on each of at least one visited place (relics, restaurants, accommodations, etc.) included in the later travel information, information on the reaction to the visited place, and information on the type of the user who showed the reaction.

The information about the place of visit may include a photograph, description, comment information, and location information uploaded to the travel information, and in addition, a dictionary description of the travel destination may be further added.

The stored travel information files can be provided to be verified through an unspecified number of user terminal devices 20. At this time, the information collected from the later travel information by the big data analysis server 30 includes accommodation information, food information, traffic information, and visiting information.

The travel information providing server 40 sets the range of the travel destination information providing radius based on the current location information of the user terminal 20 requesting the travel information, Extracts a travel information file for a travel destination included in the range of the travel destination information providing radius, and provides the extracted travel information file to the user terminal 20.

In one embodiment, the travel information providing server 40 may operate in cooperation with the big data analysis server 30 and may be configured to share information stored in the database. In particular, the user information DB 370 of the big data analysis server 30, which will be described later, is preferably implemented to be interlocked with the user information DB 490 of the travel information providing server 40.

Also, the big data analysis server 30 and the travel information providing server 40 may be physically implemented as one server or separately as a separate server.

The travel information providing server 40 grasps the location of the user terminal 20 based on the location information transmitted from the user terminal 20. The travel information providing server 40 provides the travel destination information within a certain radius range to the user terminal 20 through the travel information providing application of the user terminal 20.

According to a further aspect of the present invention, the travel information providing server 40 refers to the taste information and the schedule information of a specific user and generates travel schedule information including at least one destination according to a user's taste and schedule. And provides it through the travel information providing application installed in the user terminal 20. [

The travel company terminal 50 is a terminal device matched to a company registered as a restaurant, a lodging business, or a sightseeing spot included in the travel schedule information provided through the big data analysis server 30. [ For example, various terminal devices such as a desktop, a notebook, a smart phone, and a tablet PC.

2 is a block diagram illustrating a configuration of a big data analysis server according to an embodiment of the present invention.

2, the big data analysis server 30 according to an embodiment includes a sentence analysis unit 310, an information analysis unit 320, a reaction processing unit 330, a user information analysis unit 340, An image analyzing unit 360, a user information DB 370, a travel company DB 372, and a travel information DB 374. The digesting unit 350, the image analyzing unit 360, the user information DB 370,

The sentence analysis unit 310 parses the sentence of the trip or the specific facility uploaded to the social network service server 10. Parsing is a parsing process in which a computer breaks a string into a token and reconstructs it into a parse tree.

Parsing involves separating semantic units within sentences that are listed in a series of characters, and classifying and classifying the semantic unit as a central element or a stalled element.

The information analyzing unit 320 extracts at least one of the location information, the reaction information, and the topic information of the user who uploaded the travel late information by using the words parsed by the sentence analyzing unit 310 and grasps it.

In one embodiment, the big data analysis server 30 may have a location information DB, a reaction information DB, and a topic information DB. The information analysis unit 320 can grasp the parsed word by performing a comparative search in the location information DB, the reaction information DB, and the topic information DB. For example, when the content stored in the location information DB, the reaction information DB, and the topic information DB matches the string token with 60% to 90% or more, it can be set to be grasped as a corresponding phrase.

FIG. 3A is an exemplary diagram for explaining elements when analyzing a sentence constituting late travel information provided through a social network service server.

3A, the information analyzed by the information analysis unit 320 includes user information (1), sports information (2), topic information (3), reaction information (4), information extraction information And information identifying information (6).

The reaction processing unit 330 uses the reaction information obtained by the information analysis unit 320 to grasp the user's reaction to the travel destination. That is, the reaction processing unit 330 determines whether the user's reaction is negative or positive according to the reaction information extracted by the information analysis unit 320.

For example, the reaction processing unit 330 constructs a positive reaction DB and a negative reaction DB, and compares the extracted reaction information with the positive reaction DB and the negative reaction DB to determine whether the reaction is negative.

If it is determined that the user's response is negative, the Big Data Analysis Server 30 services the information to manage the information. The information linked and managed in the negative information management includes the identification information of the user terminal that has expressed the negative response and the date information in which the travel late information including the negative response is uploaded.

The reaction processing unit 330 further grasps the elements that cause the negative reaction and then transmits information about the elements causing the negative reaction to the destination company terminal 50.

For example, in the case of uploading later-travel information such as " I ate at the restaurant A ", the first impression was bad, but the food tasted bad because of the poor interior, the reaction processing unit 330 parses " Bad "can be identified.

It is possible to extract the contents of "interior" and "not good" as the cause. And informs the restaurant that a negative evaluation of the interior elements has been uploaded.

Restaurants can help improve operations by knowing what needs improvement based on customer response.

Thereafter, when the improvement information on the negative response element is received from the travel company terminal 50, the response processing unit 330 transmits a message informing that the user terminal 20 having uploaded the negative response information has completed the improvement of the negative element .

Accordingly, the user can know that the causal elements that have been negatively reacted to have been removed, and can induce revisit later. In other words, it can increase the quality of the tourism industry and also give the publicity effect.

The user information analysis unit 340 receives the user information extracted by the information analysis unit 320 and analyzes the user information for uploading the travel time information. Then, the user type is determined and stored in the travel information file.

The type of user includes information such as name, sex, age, marital status, major travel purpose, and preferred travel type.

The topic information quantification unit 350 analyzes the topic information identified by the information analysis unit 320 to determine the type of topic information, the number of times the topic information is exposed, the frequency, the number of images linked to the topic information, And at least one of the information is converted into a numerical value.

For example, in a place having a high topic in recent broadcasting or, for example, in a recent popular drama, the number of times of exposure on the web or the number of link images increases, so that the topic value is calculated to be high.

Even in the case of a place designated as a World Cultural Heritage in recent years, it can be recommended as a travel destination with a high value of the subject matter, reflecting the subjectivity. Or seasonally high seasonal values of travel destinations.

By reflecting such a topicality in numerical value, it is possible to provide information on a destination that is suitable for seasonal changes or recent changes.

At this time, the social activity index is calculated based on at least one of the activity score total information, the reaction score total information, the weight considering the ratio relationship of the activity score response points, and the weight information by the user about the evaluation article and the photograph do.

In other words, reflecting the responses to articles or photos uploaded to the social network service, when there are many replies or interest in the travel destination, the topic index is calculated reflecting the reaction on the web.

As a result, the social activity index of the user who uploaded the post is identified, and the reference rate is set higher when the activity is active. In addition, since the number of uploads of accurate postings is high according to the activity score, even when the postings of the users are highly reliable, the reference rate is set high, thereby providing accurate and appropriate travel information.

The image analysis unit 360 extracts an image from the travel history information uploaded to the social network service server 10. Then, based on the extracted image, the user's visit pattern and taste information are analyzed and included in the travel information file.

For example, a user who includes a lot of food photographs in an extracted image analyzes a restaurant tour, while a user who includes a lot of landscape photographs analyzes a user who enjoys a scenic tour.

The user information DB 370 installs a travel information providing application and stores profile information of a user who is active as a member of the social network service server 10 through the travel information providing application.

At this time, the profile information of the user may include information such as the sex, age, marital status of the user.

The travel company DB 372 stores profile information on the travel company information included in the travel schedule information provided through the travel information application.

The travel information DB 374 stores travel information files generated based on travel late information that a user uploads via the social network service server 10. [

At this time, the travel information includes the identification information of the user terminal device that uploaded the latter information, the location information analyzed by the information analysis unit 320, the reaction information, the topic information, the visit pattern and the taste of the user analyzed by the image analysis unit 360 Information.

According to a further aspect of the present invention, the big data analysis server 30 further includes an advertisement storage unit 376 and an advertisement providing unit 380.

The advertisement storage unit 376 stores a sponsored advertisement. In one embodiment, the advertisement storage unit 376 receives and stores advertisement data from an advertiser who desires to use the advertisement providing service.

The advertisement providing unit 380 searches the advertisement storing unit 376 for an advertisement related to the topic information extracted by the information analyzing unit 320. When the user's reaction is negative according to the reaction information detected by the information analyzing unit 320 , The advertisement that can replace the searched advertisement is re-searched and provided.

The advertisement providing unit 380 grasps the content of the topic of interest of the user who uploaded the travel late information according to the result analyzed by the information analyzing unit 320. [ The advertisement stored in the advertisement storage unit 376 is extracted by the user and is exposed to the user.

For example, when extracted topic information is associated with either weather, place, or travel, preference is searched for ads geographically related to the extracted location information. This allows users who want to leave somewhere in the sunny weather to select ads for events such as outing places, festivals, etc., from where the user is located.

Then, based on the extracted location information and the reaction information, the advertisement related to the content of which the user is interested in the topic of interest is provided to the advertisement display device located near to the user.

Here, the advertisement display device may be implemented in various forms. For example, the advertisement display device is interpreted to include devices capable of outputting advertisement images such as a DID (Digital Information Display), an outdoor large advertisement device, a screen of a theater, and the like.

Also, the selected advertisement may be output through the user terminal 20 of the user who uploaded the travel late information.

Further, the advertisement providing unit 380 refers to the user information stored in the user information DB 370 and provides advertisements related to topic information suitable for the user's age and gender information. For example, if the user is female and her / his 30s, if the extracted topic information is clothes, search for and provide advertisements related to the female's 30s.

The topic information quantification unit 350 matches and stores cumulative scores according to the number of times the topic information extracted from the advertisement providing unit 380 and the topic information are extracted.

When the cumulative score of the extracted topic information becomes equal to or higher than a certain level, the advertisement providing unit 380 can search the advertisement storage unit 376 for the advertisement related to the extracted topic information. For example, the topic information quantification unit 350 stores many topic information inputted by the user, and stores and stores cumulative scores according to the number of times the topic information is extracted.

Depending on the number of topic information extraction times, some topic information may have a cumulative score of 90 points, and other topic information may have a cumulative score of 5 points.

In one embodiment, the advertisement provider 380 uses the cumulative score of the topic information, and the advertisement related to the topic information having the cumulative score is retrieved from the advertisement storage unit 376 and provided immediately, Advertisements related to topic information are not provided.

The advertisement related to topic information having a low cumulative score may be implemented such that the topic information is not provided until a certain level, for example, 30 points or more. Accordingly, the related advertisement can be provided only for topic information having a certain degree of topicability.

Meanwhile, if another advertisement is already provided through the advertisement display device installed at the location corresponding to the user terminal 20 or the location information, the advertisement providing unit 380 may control the advertisement selected after the other advertisement ends to be provided do.

Specifically, the advertisement providing unit 380 can store the advertisement searched in the advertisement storing unit 376 in order for each position information. When the advertisement already provided is finished, the advertisement is terminated according to the stored order, And controls the advertisement selected in order to be provided.

For example, if another advertisement is provided through an advertisement display device installed at a location corresponding to the location information 'Seoul Jongno YBM Language School', the advertisement selected in the following order is provided when the advertisement already provided is completed. First-in first-out (FIFO) method is the ad that comes in first.

FIG. 3B is an exemplary diagram for explaining elements when analyzing a sentence constituting late travel information provided through a social network service server.

The sentence analysis unit 310 parses and parses the contents of the message inputted through 'twitter' and 'twitter'. The information analyzing unit 320 uses the parsed word to search for information such as 'Chuncheon CGV' as location information, 'Where to go', 'Good weather', and 'Bored' .

The reaction processing unit 330 determines whether the extracted reaction information 'bored' or 'bored' is a negative reaction. At this time, 'boring' and 'shame about' can be detected as a negative reaction through DB search.

The advertisement provider 380 searches the advertisement storage unit 376 for advertisements related to topic information 'where to go' and 'weather is good'. Many types of topic information are stored in the advertisement storage unit 376, and the sponsor advertisements are stored by matching with the topic information.

Since it is related to the topic information 'Where to go' and 'Weather is good', which is related to the weather, the place and the travel, the advertisement related to geographically related to the extracted location information 'Chuncheon CGV' is preferentially searched.

As a result of the search, 'Chuncheon CGV discount event advertisement' can be searched, but it is possible to replace 'Chuncheon CGV discount event advertisement' by using negative reaction information of 'boring' and ' Discount advertisement 'in the advertisement storage unit 376.

In this case, the substitutable advertisement may simply be an advertisement of a sponsor company having a tendency or a tendency opposite to the sponsor of the advertisement to be searched by referring to the location information.

Then, the retrieved 'Hwangrim Land discount advertisement' is provided through a user terminal or an advertisement display device installed in Chuncheon CGV corresponding to the location information. The advertisement display device may be a screen in a movie theater or a DID installed in a lobby of a movie theater.

4 is a block diagram illustrating a configuration of a travel information providing server according to an embodiment of the present invention.

4, the travel information providing server according to one embodiment includes a travel information providing unit 410, a sticker information managing unit 420, an event managing unit 430, a user information setting unit 440, A schedule information providing unit 460, a translation support unit 470, an LBS providing unit 480, a user information DB 490, a sticker information DB 492 and an event information DB 494.

The travel information providing unit 410 sets the range of the travel destination information providing radius based on the current location information of the user terminal 20 requesting the travel information, Extracts the travel information file for the travel destination included in the information providing radius range, and provides the extracted travel information file to the user terminal.

The travel information providing unit 410 can extract one of the travel information files by referring to the user information DB 490 stored with the profile information of the user who uploaded the travel information review. It is preferable to extract the travel information file uploaded by the user matching the information of the user who requested the travel information as much as possible.

For example, it is desirable to be implemented to extract the travel information file uploaded by a user of the same gender of a similar age group or by a user having a similar taste.

The travel information providing unit 410 may further extract the travel information file customized for a specific user using the information analyzed by the information analyzing unit 320 and the information analyzed by the image analyzing unit.

The sticker information DB 492 stores the type and quantity information of the stickers so as to match the identification information of the user terminal device that uploaded the latter information.

The sticker information management unit 420 provides a sticker issue request message in the form of an icon to the user terminal 20 provided with the travel information. When the sticker is issued in response to the sticker issue request message, the sticker information is registered and managed in the sticker information DB 492 so as to match the identification information of the user terminal device that uploaded the travel late information.

At this time, when the travel information is provided to the user terminal 20, a sticker issue icon is provided together, and when the click signal of the sticker issue icon is received, the travel late information is matched with the uploaded user terminal identification information, Record the completion information.

By sending a sticker dispatch request message together with the travel information, the quantity of stickers that can be given to the sticker is limited. Therefore, it is possible to stop the outbreak and to be carefully evaluated. The reliability of the evaluation can be increased accordingly.

The event information DB 494 stores different event information corresponding to the type and number of stickers.

The event management unit 430 collects information of different events that can be participated by using the sticker, and registers the information in the event information DB 494. At this time, different event information is set to be shifted by 1: 1 matching according to the kind or quantity of stickers.

For example, a user who enjoys a trip may provide a sticker that can participate in an event that allows him / her to experience a lodging, and a user who enjoys a visit to a restaurant is given a sticker to participate in a tasting event at a restaurant.

Also, the stickers requested to be issued by the sticker information management unit 420 are classified according to the grades, and different events are implemented according to the grades. For example, in the case of a tasting event, it is possible to set a different number of stickers to qualify for participation depending on the price or type of food.

The event management unit 430 transmits event information corresponding to the basis of the sticker level based on the basis stored in the event information DB 494 when the level of the issued sticker is or exceeds the event providing level.

The user information DB 490 stores personal information by matching with the user identification information. In one embodiment, the user information DB 490 stores various information such as user's taste information, nationality information, usable language information, and residence information.

The user information setting unit 440 serves to set information stored in the user information DB 490 as user preference information and schedule information input to the user terminal.

The user information management unit 450 receives the user's personal information including the language and the language information of the user who made the online connection, and registers the user's personal information in the user information DB 490.

The user information management unit 450 grasps the type of the user who uploads the trip history to the social network service server 10 and stores the identified user type information in the user information DB 490.

The schedule information providing unit 460 provides travel schedule information including at least one destination information. The schedule information providing unit 460 displays and provides a plurality of destinations on the travel map on which the location information is recorded, and links the sites with each other.

(For example, a mountain, a sea, a river, a historic site, a sightseeing spot, etc.) made up of at least one kind of a visiting place, and when one kind of a visiting place category is selected, To provide travel schedule information. And further provide tourist information corresponding to the travel schedule.

It is possible to shorten the search time by providing the travel schedule information for each visiting area category.

At this time, when providing the travel schedule information, the schedule information providing unit 460 displays directions and travel distances for each destination course and provides them together.

The travel schedule information can be stored as travel schedule information per day course, and the organized course information can be stored and managed by matching with the identification information of the user terminal device 20 in a storage space allocated to each user.

In addition, the user can create his / her own travel schedule information by adding or deleting some schedules in consideration of the direction and movement distance of each course according to the travel schedule information stored in the user's library.

It is possible that the travel schedule information stored in the user library is set to the public or private state. Further, the user can directly use the travel schedule information provided to the user terminal 20 to evaluate the schedule or the visit destination.

Meanwhile, the schedule information providing unit 460 grasps the type of the user to be provided with the travel schedule information in the case of creating the travel schedule for the travel destination using the travel reviewer.

In extracting the destination for generating the schedule information, the user type is identified and the destination is extracted from the travel late information uploaded by the user of the similar type.

For example, a user who places a weight on a food travel even if he or she goes to the same travel destination generates a travel schedule by referring to the travel history information uploaded by the same type of user, and if the travel purpose is a historical tour or a date tour, It is possible to generate the travel schedule by referring to the travel late information of the user enjoying the travel schedule.

Furthermore, the information analysis unit 320 may further generate the travel schedule by reflecting the evaluation information obtained from the analysis.

"The first impression of the restaurant was not good because the interior was not clean when I entered the restaurant, but I felt good because of the kindness of the staff and the taste of the food" A user who places a greater emphasis on food tastes than the interior in the later travel information can increase the selectivity by setting a weighted score for the restaurant to a higher value.

On the other hand, in the case of users who place more importance on the meal atmosphere than the food taste or kindness, it is possible to lower the selection index by setting a weighted score on the restaurant.

And evaluates route information of a user who travels frequently, as well as rating information on the past travel experience, and generates an optimal travel route to generate travel schedule information.

According to an aspect of the present invention, the schedule information providing unit 460 includes a rank recommendation module 462 for recommending information values of existing users in order, a priority setting module 464 for determining a priority order according to a user's preference, And a route setting module 466 for setting a movement route in consideration of a moving method and a route for each course.

The schedule information providing unit 460 recommends the values of the existing user information in order of rank through the recommendation module 462. The priority setting module 464 determines a priority order suitable for the user's preference through the priority setting module 464, And it is recommended that travel schedule information considering route and route for each course is provided through route setting module 466. [

The schedule information providing unit 460 grasps the user information for uploading the later travel information, and generates a plurality of travel schedule information matching the user setting information to be provided with the schedule information.

The schedule information providing unit 460 recommends a plurality of route information corresponding to the setting information of the user and generates trip schedule information by reflecting setting values arbitrarily inputted by the user in the recommended route.

When a desired language is selected in the travel information providing application installed in the user terminal 20, the translation support unit 470 reads the travel information, translates the travel information into a selected language, and provides the selected travel information in a text form .

And further provides a voice support section to the user terminal device 20 in which language information that can provide voice information is provided. At this time, the translation support unit 470 can also provide the travel information in the form of a voice signal of the translated language.

That is, the information providing unit 320 determines whether or not there is a language selected as a supported language in providing the travel information among the user information stored in the user information DB 370, and then converts and provides travel information in the selected language.

The LBS providing unit 480 periodically receives the changed location information according to the movement of the user terminal 20 and provides LBS-based local information corresponding to the corresponding location information.

The information providing unit 320 receives the identification information of the user terminal 20 and provides LBS-based local information corresponding to the user information and the travel schedule information corresponding to the identification information.

According to an aspect, the LBS providing unit 480 provides moving means information within a certain radius based on the user location information. When the user needs to use public transportation, the public transportation information within a certain radius is provided around the present position of the user even if the user does not use the call center or the application separately.

Here, the public transportation information may be information on a bus or a subway station, and current position information of a bus or a subway, or taxi information. In the case of a bus or a subway, it may be a bus number, a subway line information, and current traveling information.

In the case of a taxi, it includes information that a user can trust and ride, such as information about a taxi car and information about a taxi driver.

Further, the LBS provisioning unit 480 can further transmit information such as store information of restaurants, accommodations, and department stores in the area, living information including medical institution information, weather information of the area, weather information, and natural disaster alerts.

5 is a flowchart illustrating a method of providing travel information using big data according to an embodiment of the present invention.

A method of providing travel information using big data performed in a big data analysis server including a sentence analysis unit and an information analysis unit will be described with reference to FIG.

In one embodiment, the Big Data Analysis Server extracts the text from the travel history information uploaded from the user terminal to the social network service server, separates the string of the sentence unit into tokens, reconstructs it as a parse tree, And an information analyzer for analyzing the parsed words and determining at least one of position information, reaction information, and topic information in late travel information, wherein the information analyzing unit analyzes travel information including information Generates an information file, and stores the travel time information matching with the uploaded user terminal identification information.

First, the sentence analyzing unit extracts text from the travel time information uploaded from the user terminal to the social network service server (S500). Then, the sentence analyzing unit separates the text from the sentence unit into a token, parses it into a parse tree, and parses it (S510).

Thereafter, the information analyzing unit analyzes the parsed words, and recognizes at least one of the position information, the reaction information, and the topic information in the late travel information (S520).

If the user's reaction is negative, it is determined whether the user's reaction to the travel destination is positive or negative according to the reaction information identified in the information analysis unit (S530).

If the user's response is negative, the Big Data Analysis Server can manage the information. The information linked and managed in the negative information management includes the identification information of the user terminal that has expressed the negative response and the date information in which the travel late information including the negative response is uploaded.

For example, in the case of uploading late-travel information such as "I ate at a restaurant called A, the interior was not good, the first impression was bad, but the food was delicious", the negative response was "Poor First Impression" .

It is possible to extract the contents of "interior" and "not good" as the cause. Then, the information about the element causing the negative reaction is transmitted to the travel company (S534).

By notifying the restaurant that a negative evaluation of the interior elements has been uploaded, the restaurant can help improve operations by identifying what needs improvement based on the customer's response.

Thereafter, when the improvement information on the negative response element is received from the travel company (S536), a message indicating that the improvement of the response element is completed is transmitted to the user terminal that uploaded the negative response information (S538).

Accordingly, the user can know that the causal elements that have been negatively reacted to have been removed, and can induce revisit later. In other words, it can increase the quality of the tourism industry and also give the publicity effect.

Then, the information analyzing unit generates a travel information file including the information obtained from the text and stores the travel time information matching the uploaded user terminal identification information (S540).

The travel information file includes information on each of at least one visited place (relics, restaurants, accommodations, etc.) included in the later travel information, information on the reaction to the visited place, and information on the type of the user who showed the reaction.

The information about the place of visit may include a photograph, description, comment information, and location information uploaded to the travel information, and in addition, a dictionary description of the travel destination may be further added.

The stored travel information files can be provided to be verified through an unspecified number of user terminal devices 20. At this time, the information collected from the later travel information by the big data analysis server 30 includes accommodation information, food information, traffic information, and visiting information.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or essential characteristics thereof. Therefore, the embodiments disclosed in the present invention are not intended to limit the scope of the present invention but to limit the scope of the present invention. It is intended that the present invention cover the modifications and variations of this invention provided they come within the scope of the appended claims and their equivalents.

10: social network service server 20: user terminal device
30: big data analysis server 40: travel information providing server
50: tourist company terminal 310: sentence analyzing unit
320: information analysis unit 330: reaction processing unit
340: user information analysis unit 350: topic information quantification unit
360: image analysis unit 370,490: user information DB
372: Travel company DB 374: Travel information DB
376: Advertisement storage unit 380:
410: travel information providing unit 420: sticker information management unit
430: Event management unit 440: User information setting unit
450: user information management unit 460: schedule information providing unit
470: Translation Support Department 480: LBS Offered

Claims (18)

A travel information providing application for periodically transmitting current location information through a wired / wireless communication network, uploading travel late information to a social network service server, and providing customized travel information reflecting user's taste among the uploaded travel late information A user terminal device; And
A sentence analysis unit for extracting text from the comment information uploaded from the user terminal device to the social network service server and separating the string of sentence units into tokens and reconstructing and parsing the token into a parse tree; And analyzing the parsed words to obtain at least one of location information, reaction information, and topic information in the later travel information, thereby generating a travel information file including information identified by the information analysis unit, And a big data analysis server for matching and storing the later information with the uploaded user terminal identification information.
The apparatus of claim 1, wherein the big data analysis server comprises:
It is possible to grasp whether the user's reaction to the travel destination is positive or negative according to the reaction information detected by the information analysis unit, and when the user reaction is negative, the factors causing the negative reaction are further identified, And a response processing unit for transmitting information about an element to be traveled to the destination company.
3. The method of claim 2,
Wherein the response processing unit transmits a message to the user terminal that uploaded the negative response information to the effect that the improvement of the response element is completed when the improvement information on the negative response element is received from the travel company, Travel information providing system using.
The apparatus of claim 1, wherein the big data analysis server comprises:
Further comprising a user information analyzing unit for analyzing user information for uploading the later travel information to determine a user type and for matching and storing the user type information in the generated travel information file, Delivery system.
The method according to claim 1,
Analyzing the topic information identified by the information analyzing unit and applying at least one of the type of topic information, the number of times of exposure of the topic information, the frequency, the number of images linked to the topic information, the number of articles to be evaluated, and the social activity index, Wherein the travel information providing unit comprises a topic information quantifying unit for converting the travel time of the travel information into the travel information.
6. The method of claim 5,
The social activity index is calculated on the basis of at least one of the activity score total information, the reaction score total information, the weight considering the ratio relation of the activity score response score, and the weight information by the user on the evaluation article and the photograph And a travel information providing system using the big data.
The method according to claim 1,
The big data analysis server extracts an image from the later travel information uploaded to the social network service server and analyzes the visit pattern and the taste information of the user based on the extracted image and includes the analyzed image in the travel information file Wherein the travel information providing system comprises:
The apparatus of claim 1, wherein the big data analysis server comprises:
An advertisement storage unit for storing a sponsored advertisement, and
Searching for an advertisement related to the extracted topic information in the advertisement storage unit and searching for an advertisement that can replace the searched advertisement if the reaction of the user is recognized as negative according to the reaction information identified by the information analysis unit And providing an advertisement providing unit for providing the travel information.
The method according to claim 1,
A travel information file for a travel destination included in the travel information providing radius range of the travel information files generated by the big data analysis server, And providing the travel information to the user terminal. The system of claim 1, further comprising:
The system of claim 9, wherein the travel information providing server comprises:
A sticker information management unit for providing a sticker issue request message to the user terminal provided with the travel information and matching the sticker information with the uploaded user identification information when the sticker is issued in response to the sticker issue request message, Further comprising:
Wherein the stickers requested to be issued are classified according to their grades, and are set so that different 1: 1 matched events are performed according to their ratings and quantities.
The system of claim 9, wherein the travel information providing server comprises:
A user information setting unit for setting user preference information and schedule information input to the user terminal, and a customized travel schedule information file using the user's preference information and schedule information, And a schedule information providing unit for providing the course information in the form of a map image or a list.
12. The apparatus of claim 11, wherein the schedule information providing unit comprises:
Arranging the travel schedule information by listing at least one destination included in the travel destination in a category format,
Wherein the travel schedule information includes at least one destination course, at least one travel direction and movement distance between the destinations, tourist text information, and response information of a user who uploaded travel late information on the destination. Travel information providing system.
12. The apparatus of claim 11, wherein the schedule information providing unit comprises:
A priority recommendation module for recommending information values of existing users in order of priority, a priority setting module for prioritizing the preferences according to the preference of the user, and a route setting module for setting a travel route in consideration of each travel method and route for each course ≪ / RTI &
And recommends a plurality of route information corresponding to the setting information of the user and generates trip schedule information by reflecting setting values arbitrarily inputted by the user in the recommended route.
The system of claim 9, wherein the travel information providing server comprises:
The present position of the user is grasped and the moving means information and the traffic situation information within a certain radius are further provided,
And an LBS providing unit for receiving at least one of weather information, traffic information service, and living information of the corresponding area by a location based service (LBS) corresponding to the corresponding location information, And the travel information providing system using the big data.
The system of claim 9, wherein the travel information providing server comprises:
Providing the travel information in one selected language,
A translation support unit for automatically or manually recognizing the common language at the corresponding location among the supported languages and translating the travel information into the common language according to the current location information;
Further comprising a user information management unit for receiving and storing user profile information including nationality, visit information, and supported language information from a user and storing the user profile information.
A method for providing travel information using big data performed in a big data analysis server including a sentence analysis unit and an information analysis unit,
Extracting a text from the travel history information uploaded from the user terminal to the social network service server;
Parsing the extracted text into a token and reconstructing the parsed text into a parse tree and parsing the parsed text;
Analyzing the parsed words to identify at least one of position information, reaction information, and topic information in late travel information; And
And the information analyzing unit generates a travel information file including information identified from the text and stores the travel information in a manner matching with the uploaded user terminal identification information. Information delivery method.
17. The method of claim 16,
Determining whether the user's response to the travel destination is positive or negative according to the reaction information detected by the information analysis unit;
If the user response is negative, further identifying an element that causes a negative reaction; And
And transmitting information about an element causing the negative response to the travel agency company.
18. The method of claim 17,
And transmitting a message to the user terminal that has uploaded the negative reaction information indicating that the improvement of the response element has been completed, when the improvement information on the negative response element is received from the travel company Travel information providing method using big data.

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