KR101682590B1 - Method for generating user-customized trip plan, user-customized trip plan generation server performing the same and storage medium storing the same - Google Patents

Abstract

The present invention relates to a method of creating a user-customized travel plan, which is performed in a user-customized travel plan creation server connectable to a user terminal, a travel information providing server, and an evaluation information providing server, (B) receiving evaluation information on the point of interest from the evaluation information providing server; and (c) receiving evaluation information on the point of interest from the evaluation information providing server. Calculating a first user rating for the point of interest based on the evaluation information and the static user information associated with the user terminal, and calculating a first user rating for the point of interest based on the first user rating and the dynamic user information associated with the user terminal And calculating a second user rating.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a user-customized travel plan creating method, a user-customized travel plan creating server, and a recording medium storing the same. BACKGROUND OF THE INVENTION 1. Field of the Invention [

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a customized travel plan creation technology, and more particularly, to provide a personalized travel plan reflecting the travel theme information preferred by users.

With the recent activation of the social network, a variety of travel products have appeared on the market, so that they can learn about travel destinations in advance through images and photos uploaded by other people, and plan various trips individually.

Trip Advisor (http://www.tripadvisor.co.kr) provides information about the place by sharing photographs of tourist attractions, lodging companies, restaurants, etc. that travelers traveled. So far, only information on individual places has been provided, and it is not enough to provide information on travel courses and experiential sightseeing.

In travelro (http://www.travelro.co.kr), which is in service in Korea, the user records and shares the traveled place and provides information of the place to the other user to the other user. By recording personal impressions or thoughts about travel destinations that have already been traveled, they can help other users to envision the tourism course of the destination.

In this paper, we present a personalized travel information service based on telematics service, which is a comprehensive service that provides various information to individual users in moving vehicles. And the meta data of tourism information which is the basis of. The study of this metadata is necessary for providing personalized tourism information service according to the user, and it can help to provide various types of tourism information in various formats.

Lule Ahmedi, et al., "Tourist tour planning supported by social network analysis", presented a system for creating travel plans based on social networks. This system collects information of POI (Point Of Interest) written by tourists or reviewers on social networks. Based on collected information, touristic style of tourists, interest of predictable tourists, profile of tourists, etc., . This system has the advantage that it can utilize a lot of information on various social networks which are used recently.

Current travel planning researches have the following problems. First, in most researches, the main purpose of information support for travel destinations is to provide a service that automatically creates a recommended travel course, or even if there is no support, . However, since most tourists do not know the detailed information about the place to visit, it is very inefficient to determine the tourist place to visit based on simple information.

Second, the decision making of tourists is limited in that the basic unit of course creation takes place in a big category of cities. Since it is possible to have a considerable number of sightseeing spots in one city, it is necessary to create a sightseeing spot course in order not to limit the selection of tourist spots.

E. Y. Kang and H. Kim, "A study on meta data about sightseeing information service for telematics" KIPS fall conference, Vol.12, No.2, pp.39-42, 2005 L. Ahmedi, K. Rrmoku and K. Sylejmani, "Tourist tour planning supported by social network analysis" 2012 International Conference on Social Informatics, pp.295-303, 2012

It is an object of the present invention to provide a user-customized travel plan creation method that can automatically generate and provide a recommended travel course through analysis of simple personal information and photo information utilizing objectively open data and statistical information.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a user-customized travel planning method capable of calculating user ratings of tourist sites by reflecting user information in rating information on tourist sites and generating travel courses based on the user ratings.

It is an object of the present invention to provide a user-customized travel plan creation method capable of reflecting characteristics of a user based on static user information corresponding to user's personal information and dynamic user information corresponding to user's taste or travel preference information have.

According to a first aspect of the present invention, there is provided a method for creating a user-customized travel plan that is performed by a user-customized travel plan creation server connectable to a user terminal, a travel information providing server, and an evaluation information providing server, The method includes the steps of: (a) receiving a point of interest from the travel information providing server based on geographical location information and range information received from the user terminal; (b) (C) calculating a first user rating for the point of interest based on the evaluation information and the static user information associated with the user terminal, and comparing the first user rating and dynamic user information associated with the user terminal And calculating a second user rating for the point of interest based on the second user rating.

Preferably, the activity type of the travel activity type statistical information is classified into a predetermined theme based on the travel activity type statistical information received from the travel statistical information providing server before the step (a), and the classified activity is classified into the static user information And calculating a theme preference of each item with respect to each item.

Preferably, the step of calculating the theme preference of each item may include adjusting the theme preference of each item so that the calculated preference value of the theme preference by item is distributed within a predetermined deviation.

Preferably, the step (a) may include classifying the points of interest into predetermined themes.

Preferably, the step (c) includes calculating the first user rating on the basis of the evaluation information on a specific point of interest among the points of interest, and the theme preference value of each item included in the static user information .

The step (c) may include classifying the dynamic user information according to a predetermined theme, and calculating a theme ratio for the entire dynamic user information.

Preferably, the step (c) includes calculating a second user rating based on a first user rating for a particular point of interest, a theme standard deviation for the point of interest, and a theme ratio for the theme of the particular point of interest, And a step of calculating

Preferably, the method further comprises: (d) generating a travel course based on the second user rating and providing the travel course to the user terminal.

Advantageously, the step (d) may include aligning the point of interest based on the second user rating.

Preferably, the static user information may include date, and age, gender, occupation, education or income.

Advantageously, the dynamic user information may comprise image information associated with the user terminal or image information in a social network service associated with the owner of the user terminal.

According to a second aspect of the present invention, there is provided a user-customized travel plan creating server connectable to a user terminal, a travel information providing server, and an evaluation information providing server, An evaluation information receiving unit for receiving evaluation information on the point of interest from the evaluation information providing server, and an evaluation information receiving unit for receiving the evaluation information and the evaluation information from the evaluation information receiving unit, Calculating a first user rating for the point of interest based on static user information associated with the terminal and calculating a second user rating for the point of interest based on the first user rating and dynamic user information associated with the user terminal And a user rating calculation unit.

Preferably, the activity type of the travel activity type statistics is classified into a predetermined theme on the basis of the travel activity type statistical information received from the travel statistical information providing server, and a category theme for each item included in the static user information And a theme preference calculating unit for calculating a preference.

Preferably, the theme preference calculating unit may adjust the theme preference of each item so that the calculated preference value of the theme preference by item is distributed within a predetermined deviation.

Preferably, the point of interest receiver may classify the points of interest into predetermined themes.

Preferably, the user rating calculator may calculate the first user rating based on evaluation information on a specific point of interest among the points of interest, and a theme preference value for each item included in the static user information.

Preferably, the user rating calculator may classify the dynamic user information according to a preset theme, and calculate a theme ratio for the entire dynamic user information.

Preferably, the user rating calculator calculates a second user rating based on a first user rating for a particular point of interest, a theme standard deviation for the point of interest, and a theme ratio for the theme of the particular point of interest Can be calculated.

The navigation system may further include a travel course creating unit for creating a travel course based on the second user rating and providing the travel course to the user terminal.

According to a third aspect of the present invention, there is provided a computer-readable recording medium storing a program that can be executed by a computer, the method comprising: (a) A function of receiving a point of interest from the travel information providing server based on information and range information, (b) a function of receiving evaluation information on the point of interest from the evaluation information providing server; And (c) calculating a first user rating for the point-of-interest based on the evaluation information and the static user information associated with the user terminal, and based on the first user rating and the dynamic user information associated with the user terminal, And calculating a second user rating for the point of interest.

Preferably, the user-customized travel planning according to the present invention can be implemented as computer-readable code on a computer readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. For example, the computer-readable recording medium includes a ROM, a RAM, a CD-ROM, a magnetic tape, a hard disk, a floppy disk, a removable storage device, a nonvolatile memory, , And optical data storage devices.

According to the user-customized travel plan generating method of the present invention as described above, there is an advantage that objectively open data and statistical information can be utilized.

Also, according to the present invention, a rating of a tourist spot for a user is calculated by reflecting user's personal information or taste in rating information of a tourist spot acquired on the basis of open data and statistical information, and a travel plan is generated based on the rating , It is possible to provide a customized travel course reflecting the taste of each user.

1 is a block diagram of a customized travel plan creation system in accordance with a preferred embodiment of the present invention.
2 is a block diagram of the customized travel plan creation server of FIG.
3 is a flowchart illustrating a method of generating a user-customized travel plan, which is performed in the user-customized travel plan creation system of FIG.
Figure 4 is an example of the theme preference by item.
5 is an example of a result of creating a customized travel course.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will be more apparent from the following detailed description taken in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification. "And / or" include each and every combination of one or more of the mentioned items.

Although the first, second, etc. are used to describe various elements, components and / or sections, it is needless to say that these elements, components and / or sections are not limited by these terms. These terms are only used to distinguish one element, element or section from another element, element or section. Therefore, it goes without saying that the first element, the first element or the first section mentioned below may be the second element, the second element or the second section within the technical spirit of the present invention.

Also, in each step, the identification code (e.g., a, b, c, etc.) is used for convenience of explanation, and the identification code does not describe the order of each step, Unless the order is described, it may happen differently from the stated order. That is, each step may occur in the same order as described, may be performed substantially concurrently, or may be performed in reverse order.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. It is noted that the terms "comprises" and / or "comprising" used in the specification are intended to be inclusive in a manner similar to the components, steps, operations, and / Or additions.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

In the following description of the present invention, 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. The following terms are defined in consideration of the functions in the embodiments of the present invention, which may vary depending on the intention of the user, the intention or the custom of the operator. Therefore, the definition should be based on the contents throughout this specification.

1 is a block diagram of a customized travel plan creation system according to a preferred embodiment of the present invention.

1, the user-customized travel plan creating system 100 includes a user terminal 110, a customized travel plan creating server 120, a travel information providing server 130, and an evaluation information providing server 140 do.

The user terminal 110 receives data for performing the user-customized travel plan creation method from the user and transmits the data to the user-customized travel plan creation server 120, Can be received and output. In one embodiment, the user terminal 110 may provide geographic location information, range information, static user information, or dynamic user information for creating a travel plan to the customized travel plan creation server 120.

For example, the user terminal 110 may be a personal computer (PC), a notebook PC, a cellular phone, a Personal Communications Services phone (PCS), a synchronous / asynchronous IMT- (PDA), a smart phone, a WAP phone (wireless application protocol phone), a mobile play-station (PDA), and the like. ), A PDA phone or a DMB (Digital Multimedia Broadcasting) phone having a communication function, a tablet PC, an iPad, and the like to access a user-customized travel plan creation server 120, Can be broadly meant as any type of wired or wireless communication device.

The user customized travel plan creation server 120 corresponds to a device that can be connected to the user terminal 110, the travel information providing server 130, and the evaluation information providing server 140 to perform the user customized travel plan creation method The user-customized travel plan generating server 120 receives the geographical location information, the range information and the user information received from the user terminal 110 and the travel information providing server 130 and the evaluation information providing server 140 from the travel information providing server 130 and the evaluation information providing server 140. More specifically, And generates a user-customized travel plan based on the received point of interest and the evaluation information, and provides the user-customized travel plan to the user terminal 110.

The travel information providing server 130 searches or collects points of interest (POIs) belonging to the corresponding location and range based on the geographical location information and the range information received from the user-customized travel plan creation server 120, And provides it to the personalized travel plan creation server 120. For example, the travel information providing server 130 may correspond to Tour API as an Open API, but is not limited thereto.

The evaluation information providing server 140 searches or collects evaluation information on the point of interest based on the point of interest received from the user-customized travel plan creation server 120 and provides the evaluation information to the user-customized travel plan creation server 120 . For example, the evaluation information providing server 140 may correspond to the Open API, the Google Place API, the Naver map, or the next map, but is not limited thereto.

In one embodiment, the user-customized travel plan creation server 120 may be further connected to a travel statistics providing server. Here, the travel statistics providing server provides statistics on the type of travel activity. For example, the travel statistics information server may correspond to a tourism knowledge information system and may provide statistical data on the types of preference activities of various communities such as, but not limited to, sex, age, occupation, income, . In one embodiment, the user-customized travel plan creation server 120 processes the statistical information received from the travel statistical information providing server to calculate the preference type or preference of the community to which the user belongs based on the information about the specific user Can be obtained.

In one embodiment, the customized travel plan creation server 120 may further include a database. Here, the database can store and manage data processed or generated through the user-customized travel plan creation server 120, that is, the statistical information received from the travel statistical information providing server and processed, or generated You can save and manage your travel plan information.

2 is a block diagram of the customized travel plan creation server of FIG.

2, the user-customized travel plan creation server 120 includes a point-of-interest reception unit 210, an evaluation information reception unit 220, a user rating calculation unit 230, and a control unit 240.

The point-of-interest receiving unit 210 receives a point of interest from the travel information providing server 130 based on the geographical location information and the range information received from the user terminal 110. [ More specifically, the point-of-interest receiving unit 210 receives geographical position information for a specific position, that is, GPS information, and range information on how much to search for a point of interest based on the specific position, And provides it to the travel information providing server 130. The travel information providing server 130 detects and collects a POI (Point Of Interest) existing within the range based on the geographical location information and the range information provided from the POI receiving unit 210, And provides it to the receiving unit 210.

In one embodiment, the point-of-interest receiving unit 210 may classify points of interest received from the travel-information providing server 130 according to a theme. Here, the theme can be preset and stored, for example, {natural attractions, other sightseeing spots, cultural facilities, festivals / performances / events, sports activities, shopping, food).

For example, when the point of interest receiving section 210 receives {geographical position information (GPS): (37.552932, 126.978815), range information: radius 2 km} corresponding to a point in Seoul from the user terminal 110 , The point of interest receiver 210 receives the point of interest from the travel information providing server 130 and classifies it as shown in Table 1 below.

In another example, when the point of interest receiving section 210 receives {geographical position information (GPS): (33.248408, 126.412148), range information: radius 2 km} corresponding to one point in Jeju from the user terminal 110 , The point-of-interest receiving unit 210 receives the point of interest from the travel-information providing server 130, and classifies the point of interest as shown in Table 2 below.

[Table 1]

[Table 2]

As shown in Table 1 above, in the case of downtown areas such as Seoul, there are not many natural attractions, and there are many tourist attractions such as restaurants and festivals / performances / events. On the other hand, In the same place, overall, compared to [Table 1], there are not many points of interest, and distribution is uniform throughout the theme.

The evaluation information receiving unit 220 receives the evaluation information on the point of interest from the evaluation information providing server 140. More specifically, the evaluation information receiving unit 220 provides the evaluation point information providing server 140 with the point of interest received from the point of interest receiver 210, and the evaluation information providing server 140 searches the evaluation point information about the point of interest And provides the collected information to the evaluation information receiving unit 220.

In one embodiment, the evaluation information receiving unit 220 may receive evaluation information from a plurality of evaluation information providing servers. In this case, the evaluation information receiving unit 220 may receive the evaluation information received from the plurality of evaluation information providing servers 220 The information can be converted to the same standard through property shipment on a pre-set basis, and then used. For example, when evaluation information corresponding to a percentage (%) unit, a 100-point unit, or a 5-point unit is received from a plurality of evaluation information providing servers, the evaluation information receiving unit 220 acquires all evaluation information from 100 points It can be converted into full scale unit.

The user rating calculator 230 calculates a first user rating for the point of interest based on the evaluation information and the static user information associated with the user terminal 110. [ Here, the static user information includes date, age, gender, occupation, education or income, for example, {5 / 1-5 / 3 (2 nights 3 days stay), 20s, , College degree, 200 ~ 300}.

More specifically, the user rating calculator 230 calculates a first user rating for each of the points of interest received through the evaluation information receiver 220, and calculates a rating for a specific point of interest The first user rating can be calculated on the basis of the item theme preference value for each item of information, information, and static user information. The description of the theme preference value by item will be described in detail below.

[Formula 1]

In the Equation 1 above, G` _POI is a first user ratings, G is evaluated _POI information on the POI, S is a set of items of stationary user information for a specific point of interest POI (e.g., S = {age, Count (s) corresponds to the number of elements in the set S, and R _{S [i]} corresponds to the theme preference value for each item in the set S.

Hereinafter, the preference of each theme will be described.

In one embodiment, the user-customized travel plan generating server 120 may further include a theme preference calculating unit, and the theme preference calculating unit may receive travel activity type statistical information from the travel statistical information providing server. Here, the travel activity type statistical information is information on a theme preferred by the users included in a specific cluster, for example, information on a theme preferred by the twenties, a theme preferred by a woman, or a theme preferred by a desk clerk .

If the category of the travel activity type received from the travel statistical information providing server does not coincide with the theme of the user-customized travel plan generating server 120, the theme preference calculating unit calculates The activity type can be classified into a theme set by the user-customized travel plan creation server 120. [

[Table 3]

[Table 3] shows that, among the travel activity types of the travel statistical information providing server {natural and scenery appreciation, food sightseeing, outdoor entertainment and sports activities, and historical sites visit), the user- It is classified as {nature sightseeing spot, food, leisure sports, other sightseeing spot} among predetermined theme.

In addition, the theme preference calculating unit may calculate the theme preference for each item included in the static user information. Here, the theme preference by item may correspond to, for example, theme preference by age, theme preference by occupation, or theme preference by income, and preference may be calculated by various units (for example, ratio, percentage, score, etc.) .

In one embodiment, when the distribution of the preference values in the calculated theme preference of the items exceeds the deviation of the predetermined range, the theme preference calculating unit calculates the theme preference of the theme, for example, the age preference by theme, It can be merged with the theme preference of each item by calculating the preference degree of how much they prefer, and thereby, the theme preference of each item can be adjusted. In addition, the theme preference calculating unit may apply a specific ratio to each preference value so that the preference value of the theme preference per item is distributed within a predetermined range when the theme preference of each item is merged with the item preference of each theme . Here, the specific ratio may be preset in the user-customized travel plan creation server 120, and various ratios may be applied based on the specific criteria. For example, the theme preference calculating section may calculate the theme preference by item by applying 1/8 of theme preference by item and applying 7/8 of item preference by theme.

For example, FIG. 4 is an illustration of the age-themed preference generated through the theme preference calculating unit, wherein the preferences are expressed as a ratio. That is, for example, when looking at a theme among the themes, the average of the preference values of all ages corresponding to the theme of the theme is 1.00, and the ratio of each age based on the average is shown. Referring to FIG. 4, 30s and 40s have a preference ratio higher than the average, and the remaining age groups have a preference ratio lower than the average.

Referring again to Equation 1, the user rating calculator 230 calculates the rating of the point of interest based on the evaluation information about the specific point of interest and the theme preference of each item with respect to the theme of the specific point of interest calculated through the theme preference calculating unit And calculates a first user rating. For example, the theme of the POI corresponding to the Leisure Sports, S = {age (30), sex (male), occupation (clerical)} corresponds to, the leisure sports theme preferences itemized R _{S [age (30} each _)] = 1.1, R _{S [Gender (male)]} = 1.2, If R _{S [occupation (office worker)]} = 0.7, the user rating calculation unit 230 may calculate the first user rating for the POI as shown in [Equation 2] below.

[Equation 2] G _POI = Goals _POI × 1.1 × 1.2 × 0.7

The user rating calculator 230 calculates a second user rating for the point of interest based on the first user rating and the dynamic user information associated with the user terminal 110. [ Here, the dynamic user information corresponds to image information associated with the user terminal 110 or image information in a social network service associated with the owner of the user terminal, for example, The tag information of the photograph in the user's SNS account, or the tag information of the photograph in the user's blog. In addition, the dynamic user information is not limited to this, and may correspond to personal information that can express the tendency, taste, or habit of a specific user. For example, the dynamic user information may include information such as a type of music the user is listening to, The user's leisure life pattern, and the type of book that the user mainly reads.

More specifically, the user rating calculation unit 230 calculates a second user rating for each point of interest, and calculates a first user rating for a specific point of interest, a first point of interest for a particular point of interest The second user rating can be calculated on the basis of the standard deviation according to the theme and the theme ratio for the theme of the specific point of interest.

[Formula 3]

In the formula 3 above, G`` _POI is a second user ratings, G` _POI is a first user ratings, σ is the standard deviation _{theme, like} R of the theme of a particular point of interest for a particular point of interest POI is a theme .

Here,? _Theme is calculated based on the average of the first user ratings and the rating information on the specific theme, as shown in the following [Formula 4]. σ _theme is the value of the standard deviation, and the standard deviation means the deviation from the average value of the distribution. Thus, the second in the process of calculating the user rating, by reflecting the standard deviation σ _theme for the theme of the particular points of interest, all themes rating information on the theme of a particular user have an interest or consistent with the preferences of a particular user It is possible to calculate a competitive data distribution that reflects the taste of a specific user by differently reflecting data on the theme.

[Formula 4]

In [Equation 4], n is the number of ratings for a certain theme, x _k is the _kth rating of the theme, and M _all is the average value of the first user ratings for all the themes.

R _like classifies the dynamic user information into themes and calculates the ratio of each theme to the entire dynamic user information. For example, the pictures that are stored on your cell phone a total of 10 chapters, and the tag information {natural attractions: Three shopping: 6, Leisure and Sports: 1} In the case corresponding to, R _like, respectively, R _{like (natural attractions )} = 0.3 (= _3/10 ), R _{like (shopping)} = 0.6 (= 6/10), R _like may be equal to 0.1 (= 1/10).

In one embodiment, the user-customized travel plan creation server 120 may further include a travel course creation unit, wherein the travel course creation unit creates a travel course based on the second user rating, .

The travel course creation section may arrange the points of interest based on the second user rating and generate the aligned points of interest as travel courses. In addition, the travel course creator may arrange the points of interest on the basis of the second user rating, if the point of interest belonging to the specific theme exceeds a certain percentage of the entire points of interest, or the points of interest If the abundance ratio exceeds a certain ratio, it may receive additional information from the user terminal 110 to adjust or regenerate the travel course. For example, if 80% of the interest points belonging to the shopping theme within the top 50% of the total ten interest points belong to the shopping theme, that is, if four of the top five interest points belong to the shopping theme, , It is possible to additionally receive information on the proportion of each theme in the travel course such as {natural sightseeing spot: 0.3, shopping: 0.2, cultural facility: 0.1, food: 0.4}

The control unit 240 controls the flow of data and operation of the point of interest reception unit 210, the evaluation information reception unit 220, and the user rating calculation unit 230.

3 is a flowchart illustrating a method of generating a user-customized travel plan, which is performed in the user-customized travel plan creation system of FIG.

The point-of-interest receiver 210 receives the geographical location information and the range information from the user terminal 110 (step S301), transmits the received geographical location information and the range information to the travel information providing server 130, And receives a point of interest from the server 130 (step S302).

The evaluation information receiving unit 220 provides the evaluation point information providing server 140 with the points of interest received by the point of interest receiving unit 210 and receives the evaluation information on each of the points of interest from the evaluation information providing server 140 Step S303).

The user rating calculator 230 calculates the first user rating based on the evaluation information and the static user information of each of the points of interest received through the evaluation information receiver 220 and calculates a first user rating for each point of interest The second user rating is calculated based on the dynamic user information (step S304).

In one embodiment, the travel course generator may arrange the points of interest based on the second user ratings calculated via the user rating calculator 230 and provide the aligned points of interest to the user terminal 110 as travel courses have.

5 is an example of a result of creating a customized travel course.

5 (a), a general course reflecting static user information corresponding to {date: day, age: 20, sex: female, profession: office, education: college graduate, income: 200-300} A taste-reflecting course reflecting the dynamic user information of the user, for example, the tag information of the photograph associated with the user, is provided.

Referring to FIG. 5B, a general course reflecting static user information corresponding to {date: stay, age: 40, sex: male, profession: labor, education: high school graduate, income: 400-500} A taste reflection course reflecting the dynamic user information of the user is provided.

5 (a) and 5 (b), the travel course reflecting the static user information, i.e., provided based on the first user rating, is generated differently according to the information of the user, , And the travel course provided on the basis of the second user rating is the same user, the taste is reflected and the travel course is generated differently from the general course.

Although the preferred embodiment of the system and method for creating customized travel plans according to the present invention has been described above, the present invention is not limited thereto, and various modifications may be made within the scope of the claims, And this also belongs to the present invention.

100: Customized travel planning system
110: user terminal 120: user customized travel plan creation server
130: Travel information providing server 140: Evaluation information providing server
210: point-of-interest receiver 220:
230: user rating calculation unit 240:

Claims (20)

A method of creating a user-customized travel plan that is performed in a user-customized travel plan creation server connectable to a user terminal, a travel information providing server, and an evaluation information providing server,
(a) receiving a point of interest from the travel information providing server based on geographical location information and range information received from the user terminal;
(b) receiving evaluation information on the point of interest from the evaluation information providing server; And
(c) calculating a first user rating for the point of interest based on the evaluation information and the static user information associated with the user terminal, and based on the first user rating and the dynamic user information associated with the user terminal, Calculating a second user rating for the point,
The step (c)
Classifying the dynamic user information according to a predetermined theme, and calculating a theme ratio for the entire dynamic user information; And
And calculating a second user rating based on a first user rating for a particular point of interest, a theme standard deviation for the point of interest, and a theme ratio for the theme of the particular point of interest, among the points of interest To create a customized travel plan.
The method according to claim 1, wherein before step (a)
Classifying the activity type of the travel activity type statistical information into a predetermined theme based on the travel activity type statistical information received from the travel statistical information providing server and classifying the theme preference of each item included in the static user information Further comprising the step of calculating a travel plan of the user.
3. The method according to claim 2, wherein the step of calculating the theme preference by item
And adjusting the theme preference of each item so that the calculated preference value of the theme preference by item is distributed within a predetermined deviation.
The method of claim 1, wherein step (a)
And classifying the points of interest according to predetermined themes.
2. The method of claim 1, wherein step (c)
And calculating the first user rating based on the evaluation information on the specific point of interest among the points of interest and the theme preference value for each item included in the static user information. How to create a plan.
delete delete The method according to claim 1,
(d) generating a travel course based on the second user rating and providing the travel course to the user terminal.
9. The method of claim 8, wherein step (d)
And aligning the point of interest based on the second user rating. ≪ RTI ID = 0.0 > 11. < / RTI >
2. The method of claim 1,
Date, and age, gender, occupation, educational background or income.
The method of claim 1,
And image information associated with the user terminal or image information in a social network service associated with the owner of the user terminal.
1. A user-customized travel plan creating server connectable to a user terminal, a travel information providing server, and an evaluation information providing server,
A point of interest receiver for receiving a point of interest from the travel information providing server based on geographical location information and range information received from the user terminal;
An evaluation information receiving unit for receiving evaluation information on the point of interest from the evaluation information providing server; And
Calculating a first user rating for the point of interest based on the evaluation information and the static user information associated with the user terminal, and calculating a first user rating for the point of interest based on the first user rating and the dynamic user information associated with the user terminal And a user rating calculation unit for calculating a second user rating,
The user rating calculation unit may classify the dynamic user information according to a predetermined theme, calculate a theme ratio for the entire dynamic user information, calculate a first user rating for a specific point of interest among the points of interest, A standard deviation according to a theme, and a theme ratio for a theme of the specific point of interest.
13. The method of claim 12,
Classifying the activity type of the travel activity type statistics into a predetermined theme based on the travel activity type statistical information received from the travel statistical information providing server and calculating the theme preference for each item included in the static user information And a theme preference calculating unit that calculates a theme preference calculating unit based on the theme preference calculating unit.
14. The apparatus according to claim 13, wherein the theme preference calculating unit
Wherein the theme preference of each item is adjusted so that the preference value of the calculated theme preference is distributed within a predetermined deviation.
13. The apparatus of claim 12, wherein the point of interest receiver
And classifies the points of interest into groups according to predetermined themes.
13. The apparatus of claim 12, wherein the user rating calculator
Wherein the first user rating is calculated on the basis of evaluation information on a specific point of interest among the points of interest and a theme preference value for each item included in the static user information.
delete delete 13. The method of claim 12,
Further comprising a travel course creating unit for creating a travel course based on the second user rating and providing the travel course to the user terminal.
A computer-readable recording medium having recorded thereon a computer program for executing the method of any one of claims 1 to 5 and 8 to 11.

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