KR20190023723A - Tourism goods recommending system using big data and wellness travel index - Google Patents

Abstract

The present invention relates to a tourist goods recommendation system using big data and a wellness tourism index. More particularly, the tourist goods recommendation system using big data and a wellness tourism index comprising steps of: calculating a wellness tourism index customized to a specific tourist spot; collecting and analyzing big data for the specific tourist spot; and recommending tourist goods according to the calculated wellness tourism index, thereby recommending high quality tourist goods. The present invention relates to a system for recommending tourist products using big data and a wellness tourism index, which can recommend tourism goods optimized for a user, by analyzing user information and classifying the same according to the wellness tourism index.

Description

The tourism goods recommendation system using Big Data and Wellness Tourism Index

The present invention relates to a tourist product recommendation system that utilizes Big Data and Wellness Tourism Indicators. More specifically, the present invention relates to a tourism product recommendation system that calculates a wellness tourism index customized for a specific tourist spot, collects and analyzes big data for a specific tourist spot, It is possible to recommend tourist products according to the wellness tourism indicators and to recommend high quality tourism products, analyze user information and classify them according to the wellness tourism indexes, and recommend specific tourism products to specific tourist destinations, And recommendation system for tourist products using Big Data and Wellness Tourism Indicators.

Wellness tourism is an extension of existing health tourism. It is the sum total of all the relationships and phenomena caused by people's travel or stay, which is the main motivation to promote and maintain their own health. It can be defined and includes a wide range of areas such as physical fitness, beauty care, health and nutrition, diet, relaxation / meditation, mental activity and education. Activities have been recognized recently as being able to create high added value in connection with the tourism industry. Accordingly, a system for providing information on wellness sightseeing as described in the following patent documents has been developed.

(Patent Literature)

Open Patent Publication No. 10-2015-0133021 (Published Nov. 27, 2015) "Overseas medical tourism system"

However, the conventional system for providing information on wellness tourism only lists wellness products provided in a specific area, and it is difficult to confirm which service quality of a company providing the goods has been confirmed there is a problem.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems,

The present invention relates to a method for collecting and analyzing big data for a specific tourist spot by calculating a wellness tourist index customized for a specific tourist spot, recommending tourist products according to the calculated wellness tourist index, It is an object of the present invention to provide a tourist product recommendation system utilizing a wellness tourism index.

Further, since the present invention analyzes user information and classifies it according to a wellness tourism index, it recommends a specific tourist product to a specific tourist spot. Therefore, it is possible to provide a tour product using the big data and the wellness tourist index The purpose of this system is to provide a recommendation system.

In order to achieve the above object, the present invention is implemented by the following embodiments.

According to an embodiment of the present invention, a tourist product recommendation system using Big Data and Wellness Tourism Indicator according to the present invention calculates Wellness Tourism Indices customized for specific tourist destinations, collects and analyzes Big Data for specific tourist destinations A service server for recommending a tourist product according to the calculated wellness tourism index, and a user terminal connected to the service server for receiving information on a tourism product.

According to another embodiment of the present invention, in the tourism product recommendation system using the big data and the wellness tourism indicator according to the present invention, the service server includes a tourism index calculation unit for calculating a wellness tourism index customized for a specific tourist spot, A tourist information analyzing unit for extracting a commodity that can perform a tourism item included in the wellness tourism indicator calculated by the tourism index calculating unit among the commodities of a specific tourist spot and analyzing the preference information about the company that provides the commodity, .

According to another embodiment of the present invention, in the tourism product recommendation system using the Big Data and the Wellness Tourism Indicator according to the present invention, the wellness tourist indicator includes a plurality of tourist items categorized by the purpose of the wellness tourism In this case, it is preferable that only one of the plurality of tourist items constituting the well-being tourist index includes only a part of the tourist items preferred at a specific tourist destination Means a calculation of a well-being tourist index modified to include.

According to another embodiment of the present invention, in the tourist product recommendation system using the big data and the wellness tourism index according to the present invention, the tourism index calculation unit identifies the name of a specific tourist spot, A sightseeing word and a word check module for checking a word associated with the sightseeing item and outputting the result, and analyzing articles written in the online community, The number of words output from the data extracting module is added up for each tourism item, and when the sum of the numbers calculated in the specific tourism item exceeds the reference value, And an output module for outputting the output signal.

According to another embodiment of the present invention, in the tourism product recommendation system using the Big Data and the Wellness Tourism Indicator according to the present invention, the service server analyzes the big data of the latter part related to travel from the online community, And a user analysis unit for analyzing the user information and calculating a favorite tourist item by the user.

According to another embodiment of the present invention, in the tourism product recommendation system utilizing the Big Data and the Wellness Tourism Indicator according to the present invention, the media analyzing unit analyzes the articles related to the travel related to the online community, A word classification module for classifying the words extracted by the word extraction module by each tourism item, and a word classification module for classifying the number of words per tourism category classified by the tourism classification module, And a tourism item selection module for calculating a tourism item having a priority by comparing the number of words summed for each tourism item.

According to another embodiment of the present invention, in the tourist product recommendation system using the Big Data and the Wellness Tourism Indicator according to the present invention, the user analysis unit analyzes the log information of the user's service server or the article written in the online community A user classifying module for classifying the words extracted from the user extracting module by each tourism item; and a user classifying module for classifying the number of words classified by each tourist item classified by the user classifying module into sum And a user selection module for comparing the number of words added for each tourist item and calculating a priority tourist item.

According to another embodiment of the present invention, in the tourism product recommendation system utilizing the Big Data and the Wellness Tourism Indicator according to the present invention, the service server may further comprise: The tourist product recommendation unit may further include a recommendation unit for recommending a tourist product by setting up the tourist product. When the information for requesting recommendation of a tourist product that can perform wellness tourism for a specific tourist resort is output through the user terminal, A tourist item display section for displaying a tourist item included in the wellness tourist map customized for a specific tourist destination calculated by the tourist destination calculating section and for providing a product capable of performing the tourism item output by the tourist information analyzing section, It analyzes the preference information of a company and selects companies with high preference, Also, the light, tourism information, including a listing of which can perform a funny items and products can do the tourist attractions item comprising a specific product recommendation module for outputting to the user terminal.

According to another embodiment of the present invention, in the tourism product recommendation system utilizing the Big Data and the Wellness Tourism Index according to the present invention, the tourism product recommendation unit may identify the tourist items preferred by the user output by the user analysis unit , A result of outputting by the tourism index calculation section is analyzed to specify a tourist spot in which the wellness tourist index including the tourism item is calculated and the result outputted by the tourist spot information analysis section is analyzed, And the preference information of the company that provides the product are analyzed to select a company having a high preference, and the preferred tourism item in the specific tourist spot, the preferred tourism item in the specific sightseeing spot, the product that can perform the tourism item, And outputs tourist product information including information of a company that can perform the product to the user terminal So that it comprises an additional user-specific product recommendation modules.

According to another embodiment of the present invention, in the tourism product recommendation system using the Big Data and the Wellness Tourism Indicator according to the present invention, the tourism product recommendation unit may identify the preferred tourism item in the specific medium output by the medium analysis unit Analyzing a result output by the tourism index calculation unit to specify a tourist spot in which the wellness tourist index including the tourism item is calculated, analyzing the result output by the tourist spot information analysis unit, A company having a high preference degree is analyzed by analyzing information on a product capable of performing a tourism item and a preference information on a company providing the product to determine whether a tourism item preferred in a specific tourist spot or a specific sightseeing spot, And tourist goods information including information of a company that can perform the goods, to the specific medium, And a media advertisement module for allowing the user to perform the advertisement.

The present invention can obtain the following effects by the above-described embodiment, the constitution described below, the combination, and the use relationship.

The present invention has the effect of calculating a wellness tourism index customized for a specific tourist spot, collecting and analyzing big data for a specific tourist spot, recommending a tourism product according to the calculated wellness tourism index, and recommending a good quality tourism product .

In addition, the present invention has the effect of recommending a tourist product optimized for a user because it analyzes user information and classifies it according to a wellness tourist index and then recommends a specific tourist product to a specific tourist spot.

Brief Description of the Drawings Fig. 1 is a block diagram of a tourist product recommendation system using Big Data and Wellness Tourism Indicator according to an embodiment of the present invention.
2 is a block diagram showing a detailed configuration of the service server of FIG. 1;
Fig. 3 is a block diagram showing a detailed configuration of the tourism index calculation unit of Fig. 2; Fig.
FIG. 4 is a block diagram showing a detailed configuration of the medium analyzing unit of FIG. 2; FIG.
5 is a block diagram showing the detailed configuration of the user analysis unit of FIG. 2;
FIG. 6 is a block diagram showing the detailed structure of the tourist product recommendation unit of FIG. 2; FIG.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, preferred embodiments of a tourist product recommendation system using Big Data and Wellness Tourism Indicator according to the present invention will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. Throughout the specification, when an element is referred to as "including" an element, it is understood that it can include other elements as well as other elements, The terms "part," " module, "and the like denote a unit for processing at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software.

1 to 6, a tourist product recommendation system using a Big Data and a Wellness Tourism Index according to an embodiment of the present invention calculates a wellness tourist index customized for a specific tourist spot, A service server 1 for collecting and analyzing big data on tourist sites and recommending tourism products according to the calculated wellness tourism indexes and a user terminal for accessing the service server 2 and receiving information on tourist products 2). The user terminal 2 is configured to exchange information with the service server 1 and displays information about the tour products generated by the service server 1 and transmits and receives information such as a PC, a smart phone, a tablet PC, A variety of electronic devices capable of displaying and displaying information may be used.

The service server 1 calculates a wellness tourist index customized for a specific tourist spot, collects and analyzes big data for a specific tourist spot, and recommends a tourist product according to the calculated wellness tourist index. A tourism analyzing unit 16, a tourist product recommending unit 17, a storing unit 18, a tourist information collecting unit 14, a tourist information analyzing unit 14, A control unit 19, and the like.

The user registration unit 11 is configured to register information of a user using a service provided by the service server 1 and to register various information necessary for purchase of a tourist product together with basic login information of a user of the tour product And can also register SNS, blog, cafe information together.

The sightseeing place registering unit 12 can register a sightseeing spot to the service server 1 and add a tourist spot where customized wellness sightseeing indexes are calculated and big data is collected.

The tourism index calculation section 13 is configured to calculate a wellness tourist index customized for a specific tourist spot registered by the sightseeing spot registration section 12, and includes a sightseeing spot and word confirmation module 131, a data extraction module 132, Module 133 and the like. The wellness tourism indicator is a concept that includes a plurality of tourism items categorized by the purpose of the wellness tourism. For example, the tourism items include tourism for medical treatment, sightseeing for beauty, sightseeing for nutrition, tourism for improving physical strength, And the like, and each of the tourism items has associated words. For example, words associated with sightseeing for beauty may include skin, spas, shaping, hair, and the like. It is possible to include climbing, health, bicycle, martial art, Calculating a well-being tourist index that is customized for the specific tourist area means calculating a well-being tourist index modified to include only some tourist items preferred from a specific tourist spot among a plurality of tourist items constituting the well-being tourist index. For example, the tourism items included in the wellness tourism index include tourism for medical treatment, sightseeing for beauty, sightseeing for nutrition, tourism for improving physical strength, and tourism for emotional development. , Tourism for nutrition is popular, and tourism for empowerment and emotional development is not prevalent, the tourism index calculation section 13 can provide tourist information for tourism, beauty tourism, It is set to include only tourism for nutrition, and a wellness tourist index customized for a specific tourist destination A is calculated. Specifically, the calculation of the well-being tourist attraction index customized for a specific tourist destination is performed by confirming the name of the specific tourist destination registered by the tourist destination registering unit 12 by the sightseeing place and word verification module 131, The data extraction module 132 analyzes the articles written in the online communities such as the SNS, the cafe, and the blog, and outputs them to the sightseeing and word verification module 131 And the calculation module 133 calculates the sum of the number of words output from the data extraction module 132 for each tourism item and outputs the sum If the total number calculated from the tourism item exceeds the reference value, it is included in the wellness sightseeing index.

The tourism information analyzing unit 14 analyzes the tourism information included in the tourism information included in the tourism information registered by the tourist information registering unit 12, (For example, it may include a skin massage product, a hair beauty product, a spa product, etc. in the case of a sightseeing item for beauty), and analyzes preference information about a company providing the product. Likewise, we collect blogs related to travel from online SNS, cafe, blog, etc. to generate big data, analyze affirmative and negative preference information by using emotional word extraction analysis and text mining. Emotional word extraction analysis is a technique for analyzing text on the Internet and extracting emotions and opinions of the person who wrote the text. The details are already known and should be omitted. The sightseeing information analyzing unit 14 extracts a product that can perform the sightseeing item included in the wellness sightseeing index calculated by the tourism index calculating unit 13 among the products of each sightseeing spot, The analysis of the affirmative and negative preference information for the positive and negative values and the amount of the analyzed data are extracted. Only the tourism items preferred by the tourism index calculation section 13 in a specific tourist spot are included in the wellness tourism index and the tourism spot information analysis section 14 analyzes the tourism index calculated by the tourism index calculation section 13, It is possible to extract the goods that can carry out the tourism items included in the shopping mall and to confirm the preference of the company that provides the goods, and to provide at least the data of preferred quality at the specific tourist sites only through data analysis.

The medium analyzing unit 15 is configured to analyze the big data of the later travel related trips in the online community, such as SNS, cafe, blog, etc., and extract preferred tourism items for each online medium of each community. A word extraction module 151 for extracting words associated with tourism items on an on-line medium by analyzing articles related to later travel articles written in the online community of the web site, and a word extraction module 151 for classifying the words extracted from the word extraction module 151 And the number of words classified by each tourist item classified by the tourist category classification module 152, and compares the number of words summed for each tourist item, It is possible to calculate a preferred tourism item in a specific medium including the tourism item selection module 153 to be calculated. For example, sightseeing for medical care can be preferred on the A medium, and sightseeing on the B medium can be preferred.

The user analysis unit 16 is configured to analyze the user information and to calculate the tourism items preferred by the user. The user analysis unit 16 analyzes log information about the user's service server 1 and / A user classification module 161 for analyzing articles and extracting words associated with tourism items, a user classification module 162 for classifying the words extracted by the user extraction module 161 for each tourism item, And a user selection module 163 for calculating a priority tourism item by summing the number of words classified by each tourist item classified by the classification module 162 and comparing the number of words summed for each tourism item, It is possible to calculate the preferred tourism item.

The tourism product recommendation unit 17 is configured to set and recommend tourism products according to the results analyzed by the tourism index calculation unit 13 and the tourist spot information analysis unit 14, A per-user product recommendation module 172, a media advertisement module 173, a purchase module 174, and the like.

When the information for requesting recommendation of a tourist product that can perform a wellness sightseeing for a specific tourist spot is output through the user terminal 1, The tourism information included in the wellness tourist map customized for the specific tourist site calculated by the tourist information analyzer 14, and a product that can perform the tourism item output by the tourist information analyzer 14, The preference information is analyzed to select a company with a high preference, and tourist goods information including information on a preferred tourist item in a specific tourist destination, a product capable of performing the tourism item, (1). The tourism product information also includes information such as schedule and cost, so that the user can select and purchase the presented tour product.

The per-user commodity recommendation module 172 confirms the tourist items preferred by the user output by the user analysis section 16 and analyzes the results output by the tourism index calculation section 13, The tourism information analyzing unit 14 analyzes the result output from the sightseeing information analyzing unit 14 to determine whether the tourism information is included in the goods and the goods A preference degree information is analyzed and a company having a high preference is selected to select a tourism item preferred by a specific sightseeing spot or a specific sightseeing spot, a product that can perform the sightseeing item, To the user terminal 1 so as to be able to advertise.

The media advertisement module 173 identifies the preferred tourism items in the specific media output by the media analysis unit 17 and analyzes the results output by the tourism index calculation unit 13 to include the tourism items The tourism information analyzing unit 14 analyzes the result output from the sightseeing information analyzing unit 14 and analyzes the resultant goods to perform the tourism item at the specified sightseeing spot, Analyzing the preference information, selecting a company with a high preference, and selecting tourist information, including information on a tourist destination preferred in a specific sightseeing spot, a specific sightseeing spot, a product capable of performing the sightseeing item, So that it can be output to the specific medium and advertised.

The purchasing module 174 determines whether the user wants to purchase a tour product recommended by the tourist location recommendation module 171, the per-user product recommendation module 172 and the media advertisement module 173, ), The purchase of the tourism product is completed.

The storage unit 18 stores information used, generated and exchanged in the tourism information recommendation system, and the control unit 19 controls overall operation of the service server 1. [

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, Should be interpreted as falling within the scope of.

1: service server 2: user terminal 11: user registration unit
12: Tourist Registration Section 13: Tourist Land Index Government 14: Tourist Information Analysis Department
15: Media analysis section 16: User analysis section 17: Tourism product recommendation section
18: storage unit 19: control unit 131: tourist spot and word verification module
132: data extraction module 133: calculation module 151: word extraction module
152: tourist category classification module 153: tourism category selection module 161: user extraction module
162: user classification module 163: user selection module 171: product recommendation module per tourist spot
172: commodity recommendation module for each user 173: media advertisement module 174: purchasing module

Claims (10)

A service server for calculating a wellness tourism index customized for a specific tourist spot and collecting and analyzing big data for a specific tourist spot and recommending the tour product according to the calculated wellness tourism index; And a user terminal for receiving the tour data and the tour data. The method of claim 1, wherein the service server
A tourism index calculation unit for calculating a wellness tourism index that is customized for a specific tourist spot and a product that can perform tourism items included in the wellness tourism index calculated by the tourism index calculation unit among the products of the specific tourist spot are extracted And a tourist information analyzing unit for analyzing the preference information about the company that provides the product. The tourist goods recommendation system using the Big Data and Wellness Tourism Indicator. 3. The method of claim 2,
The wellness tourist index includes a plurality of tourist items categorized according to the purpose of the wellness tourism, and a word associated with each tourist item exists, and a wellness tourist index customized to the specific tourist destination is calculated. Means a means for calculating a wellness tourist index modified to include only a part of tourism items preferred at a specific tourist spot among a plurality of tourist items constituting the wellness tourist index, and a tourism product recommendation utilizing the Big Data and Wellness Tourism Index system. [4] The method of claim 3, wherein the tourism index calculation unit
A sightseeing place and a word check module for confirming a name of a specific tourist spot and confirming a linked word of each tourism item of the wellness tourist landmark stored in the storage unit and outputting the result; A data extraction module for collecting and outputting words associated with each tourism item listed together with a specific tourist destination name output from the module; and a data collection module for collecting the number of words output from the data extraction module for each tourism item, And a calculation module that includes the calculation result in the wellness sight index when the sum of the numbers calculated exceeds the reference value, using the Big Data and the Wellness Tourism Index. 5. The method of claim 4,
The service server includes a medium analyzing unit for analyzing big data of the later travel related trips on the online community and extracting preferred tourism items for each online medium of each community, a user analysis unit for analyzing the user information, And an analyzing unit. The recommendation system is based on the Big Data and the Wellness Tourism Index. 6. The apparatus of claim 5, wherein the media analyzer
A word extraction module for analyzing articles written in the online community and analyzing the articles related to travel in the online community to extract words associated with the tourism items for each of the online media; a tourism item classification module for classifying the words extracted from the word extraction module by each tourism item; And a tourism item selection module that sums up the number of words for each tourism item classified by the tourism item classification module and compares the number of words summed for each tourism item to calculate a tourism item of a priority order Tour data recommendation system using Big Data and Wellness Tourism Index. 6. The apparatus of claim 5, wherein the user analysis unit
A user extraction module for analyzing log information on a service server of a user or articles written in an online community and extracting words associated with tourism items; a user classification module for classifying words extracted from the user extraction module by each tourism item; And a user selection module for calculating a priority tourism item by summing the number of words for each tourism item classified by the user classification module and comparing the number of words summed for each tourist item, And recommendation system of tourist goods using wellness sightseeing index. 6. The method of claim 5,
The service server further includes a tourist product recommending unit for setting and recommending a tourism product according to the result analyzed by the tourism index calculating unit and the tourist information analyzing unit,
The tourism product recommendation unit may be configured such that, when information requesting recommendation of a tourist product that can perform a wellness sightseeing to a specific tourist spot is output through the user terminal, the tourist product recommendation unit may include a wellness tourist attraction fee customized for a specific tourist destination, And analyzing the preference information of the company that provides the product and the product that can perform the tourism item output by the tourist information analysis unit to select a company with a high degree of preference, And a product recommendation module for each tourist site that outputs tourism product information including information on a tourism item preferred at a specific sightseeing spot, a product that can perform the tourism item, and information of a company that can perform the product, Tour data recommendation system using big data and wellness sightseeing index which we do. 9. The tourism product recommendation system according to claim 8,
A tourist destination identification unit that identifies a tourist destination preferred by the user output by the user analysis unit and analyzes a result output by the tourism index calculation unit to specify a tourist destination in which a wellness tourism indicator including the tourism item is calculated, Analyzing the results output by the analyzing unit, analyzing the goods that can perform the tourism item at a specified tourist site and the preference information about the company that provides the goods, and selects a company with a high degree of preference, A commodity recommending module for each user, which enables the user to output the tourist commodity information including the tourist commodities preferred in the tourism commodity, And a tourist goods recommendation system utilizing the Big Data and the Wellness Tourism Indicator. 9. The tourism product recommendation system according to claim 8,
A tourist destination identification unit for identifying a tourist destination in the specific medium outputted by the medium analyzing unit and analyzing the result outputted by the tourism destination calculating unit to specify a tourist destination in which the wellness tourist indicator including the tourism item is calculated, Analyzing the results output by the information analysis unit, analyzing the goods that can perform the tourism item at a specified tourist site and the preference information about the company that provides the goods, and selects a company having a high degree of preference, A media advertisement module for outputting tourist goods information including information on tourism items preferred in sightseeing spots, products capable of carrying out the tourism items, and information on a company capable of performing the goods, And a tourist goods recommendation system utilizing the Big Data and the Wellness Tourism Indicator.

Images