KR20230094952A - A method of providing travel product sales service through reverse auction - Google Patents

Abstract

According to an embodiment of the present invention, a method for providing a travel product sales service through a reverse auction performed by an apparatus is disclosed. In addition, the providing method may include receiving priority information including a ranking for each visit place and lodging from a user terminal; If the ranking for the place to visit is higher than the ranking for the lodging, first user information including travel region, travel date, user tourist destination preference, age, gender, number of people, relationship between people, user food preference, and physical strength is stored in advance. It is input as an input value to the learned first artificial neural network, a plurality of first recommended places to visit are acquired from the first artificial neural network, the first recommended places to visit are transmitted to the user terminal, and from the user terminal, the user receiving first preferred places to visit that are the selected first recommended places to visit; selecting age weight, gender weight, and physical strength weight matched with the age, gender, and physical strength from a database, and determining a product of the age weight, gender weight, and physical strength weight as an activity weight; determining an activity time corresponding to the travel date using an arrival time of the first day arriving at the travel area, a preset schedule start time, a preset schedule end time, a return time leaving the travel area, and the activity weight; In the database, a first standard required time matched with each of the airport and the first preferred places to visit is selected, and a first required time weight value matched for each of the airport and the first preferred places to visit is selected. and determining a first estimated required time corresponding to each of the airport and the first preferred visit places using the first reference required time and the first required time weighted value; A first reference travel time that matches each of a plurality of first routes connecting the airport and the first preferred places to visit is selected from the database, and a first reference travel time is selected for each of the first routes by means of transportation and by travel time. selecting a first travel time weight matched with , and determining a first expected travel time corresponding to each of the first routes using the first reference travel time and the first travel time weight; Determine a plurality of first recommended recommended traffic routes connecting at least two of the airport and the first preferred places to visit, and determine the first recommended recommended traffic routes corresponding to each of the first preferred places included in the first recommended recommended routes Using the first expected travel time and the first expected travel time corresponding to each of the first routes included in the first recommended recommended traffic route, the first required time corresponding to each of the first recommended recommended traffic routes is determined. deciding; determining the first recommended recommended traffic routes, wherein the first required time is less than the activity time; transmitting the first recommended traffic routes to the user terminal and receiving first preferred traffic routes, which are the first recommended traffic routes selected by the user, from the user terminal; determining a starting place corresponding to each of the first preferred routes of movement, and determining a plurality of first preliminary recommended lodgings whose distance from the starting place is less than or equal to a predetermined reference distance and the number of people available for reservation is greater than or equal to the number of people; selecting lodging preferences matched with the first preliminary recommended lodging, the age, the gender, and the relationship between the persons in the database; determining, as first recommended lodgings, the first preliminary recommended lodgings whose lodging preference is equal to or greater than a preset standard; transmitting the first recommended lodgings to the user terminal and receiving first preferred lodgings, which are the first recommended lodgings selected by the user, from the user terminal; generating a first user travel plan using the first preferred routes and the first preferred lodgings; If the ranking of the lodging is higher than the ranking of the visit place, the second user including the travel region, the travel date, lodging budget, preferred lodging information, the age, the gender, the number of people, and the relationship between the people Information is input as an input value to the second artificial neural network that has been learned in advance, a plurality of second recommended lodgings are obtained from the second artificial neural network, the second recommended lodgings are transmitted to the user terminal, and the second recommended lodging is transmitted from the user terminal. receiving second preferred lodgings that are the second recommended lodgings selected by the user; setting areas located within a preset distance from the location of each of the second preferred lodgings as an activity area corresponding to each of the second preferred lodgings; determining a plurality of second preliminary recommended places to visit using the activity area, the arrival time, and the return time; When the second preliminary recommended places to visit are tourist destinations, a first matching degree corresponding to each of the preliminary recommended places to visit using the relationship between the tourist destination preference, the age, the gender, and the number of persons included in the first user information calculating and determining second recommended places to visit among the second preliminary recommended places to visit using the first matching degree; When the second preliminary recommended places to visit are restaurants, the second preliminary recommended places to visit correspond to each of the second preliminary places to visit using the relationship between the food preference, the age, the gender, and the number of persons included in the first user information. calculating a matching degree and determining second recommended visiting places among the second preliminary recommended visiting places by using the second matching degree; transmitting the second recommended places to visit to the user terminal and receiving second preferred places to visit, which are the second recommended places to visit selected by the user, from the user terminal; Selecting a second reference required time matched with each of the airport, the second preferred lodgings, and the second preferred visiting places from the database, and selecting the airport, the second preferred lodgings, and the second preferred visiting place. A second required time weight value matched by visiting time is selected for each of the above, and a second required time weight corresponding to each of the airport and the second preferred visit places is selected using the second standard required time and the second required time weighted value. Determining the expected required time; A second reference travel time matching each of a plurality of second routes connecting the airport, the second preferred lodgings, and the second preferred visiting places is selected from the database, and a second reference travel time is selected for each of the second routes. selects a second travel time weight matched by means of transportation and by travel time, and determines a second expected travel time corresponding to each of the second routes using the second reference travel time and the second travel time weight; deciding; A plurality of second expected recommended travel routes connecting at least two or more of the airport, the second preferred lodgings, and the second preferred visit places are determined, and the second preferred visit included in the second expected recommended travel route is determined. Using the second expected travel time corresponding to each of the places and the second expected travel time corresponding to each of the second routes included in the second expected recommended flow, determining a corresponding second necessary time; determining the second recommended recommended traffic routes, the second expected recommended traffic routes for which the second necessary time is less than the activity time; transmitting the second recommended traffic routes to the user terminal and receiving second preferred traffic routes, which are the second recommended traffic routes selected by the user, from the user terminal; generating a second user travel plan using the second preferred routes; determining at least one merchant terminal whose business area matches the second user's travel plan; transmitting the second user travel plan to the matched at least one merchant terminal; Receiving at least one travel product from at least one seller terminal; transmitting the received at least one travel product to the user terminal; and receiving a preferred travel product selected from at least one of the travel products from the user terminal.

Description

Method of providing travel product sales service through reverse auction {A METHOD OF PROVIDING TRAVEL PRODUCT SALES SERVICE THROUGH REVERSE AUCTION}

The present invention relates to a method for providing a travel product sales service through reverse auction.

Unless otherwise indicated herein, material described in this section is not prior art to the claims in this application, and inclusion in this section is not an admission that it is prior art.

Travel types are largely classified into free travel and package tours. A free tour is a form in which an individual plans all travel itineraries, and a package tour is a form in which an individual uses a travel product in which all travel itineraries are planned by a travel product planner.

In the case of free travel, there is an advantage that individuals can enjoy the trip as they wish, but on the contrary, there is a disadvantage that individuals have to plan everything.

In the case of a package tour, there is an advantage in that it is convenient because you can enjoy the already planned schedule, but on the contrary, there is a disadvantage in that you cannot experience things other than the planned schedule.

As the demand for travel increases, the demand for a travel product that combines the advantages of free travel and package tours is increasing.

Korean Registered Patent No. 10-2087543 (registered on March 4, 2020)

One object of the present invention is to recommend a place to visit, lodging, and movement that match the user's information to the user, and to determine a user's travel plan based on the place to visit, accommodation, and movement selected by the user, travel products through reverse auction. It is to provide a way to provide sales service.

Another object of the present invention is to provide a method for providing a travel product sales service through reverse auction, matching a user's travel plan with a product seller and providing the user with a travel product including at least a part of the user's travel plan. .

One aspect of the present invention for achieving the above object provides a method for providing a travel product sales service through a reverse auction performed by an apparatus.

In addition, the providing method may include receiving priority information including a ranking for each visit place and lodging from a user terminal; If the ranking for the place to visit is higher than the ranking for the lodging, first user information including travel region, travel date, user tourist destination preference, age, gender, number of people, relationship between people, user food preference, and physical strength is stored in advance. It is input as an input value to the learned first artificial neural network, a plurality of first recommended places to visit are acquired from the first artificial neural network, the first recommended places to visit are transmitted to the user terminal, and from the user terminal, the user receiving first preferred places to visit that are the selected first recommended places to visit; selecting age weight, gender weight, and physical strength weight matched with the age, gender, and physical strength from a database, and determining a product of the age weight, gender weight, and physical strength weight as an activity weight; determining an activity time corresponding to the travel date using an arrival time of the first day arriving at the travel area, a preset schedule start time, a preset schedule end time, a return time leaving the travel area, and the activity weight; In the database, a first standard required time matched with each of the airport and the first preferred places to visit is selected, and a first required time weight value matched for each of the airport and the first preferred places to visit is selected. and determining a first estimated required time corresponding to each of the airport and the first preferred visit places using the first reference required time and the first required time weighted value; A first reference travel time that matches each of a plurality of first routes connecting the airport and the first preferred places to visit is selected from the database, and a first reference travel time is selected for each of the first routes by means of transportation and by travel time. selecting a first travel time weight matched with , and determining a first expected travel time corresponding to each of the first routes using the first reference travel time and the first travel time weight; Determine a plurality of first recommended recommended traffic routes connecting at least two of the airport and the first preferred places to visit, and determine the first recommended recommended traffic routes corresponding to each of the first preferred places included in the first recommended recommended routes Using the first expected travel time and the first expected travel time corresponding to each of the first routes included in the first recommended recommended traffic route, the first required time corresponding to each of the first recommended recommended traffic routes is determined. deciding; determining the first recommended recommended traffic routes, wherein the first required time is less than the activity time; transmitting the first recommended traffic routes to the user terminal and receiving first preferred traffic routes, which are the first recommended traffic routes selected by the user, from the user terminal; determining a starting place corresponding to each of the first preferred routes of movement, and determining a plurality of first preliminary recommended lodgings whose distance from the starting place is less than or equal to a predetermined reference distance and the number of people available for reservation is greater than or equal to the number of people; selecting lodging preferences matched with the first preliminary recommended lodging, the age, the gender, and the relationship between the persons in the database; determining, as first recommended lodgings, the first preliminary recommended lodgings whose lodging preference is equal to or greater than a preset standard; transmitting the first recommended lodgings to the user terminal and receiving first preferred lodgings, which are the first recommended lodgings selected by the user, from the user terminal; generating a first user travel plan using the first preferred routes and the first preferred lodgings; If the ranking of the lodging is higher than the ranking of the visit place, the second user including the travel region, the travel date, lodging budget, preferred lodging information, the age, the gender, the number of people, and the relationship between the people Information is input as an input value to the second artificial neural network that has been learned in advance, a plurality of second recommended lodgings are obtained from the second artificial neural network, the second recommended lodgings are transmitted to the user terminal, and the second recommended lodging is transmitted from the user terminal. receiving second preferred lodgings that are the second recommended lodgings selected by the user; setting areas located within a preset distance from the location of each of the second preferred lodgings as an activity area corresponding to each of the second preferred lodgings; determining a plurality of second preliminary recommended places to visit using the activity area, the arrival time, and the return time; When the second preliminary recommended places to visit are tourist destinations, a first matching degree corresponding to each of the preliminary recommended places to visit using the relationship between the tourist destination preference, the age, the gender, and the number of persons included in the first user information calculating and determining second recommended places to visit among the second preliminary recommended places to visit using the first matching degree; When the second preliminary recommended places to visit are restaurants, the second preliminary recommended places to visit correspond to each of the second preliminary places to visit using the relationship between the food preference, the age, the gender, and the number of persons included in the first user information. calculating a matching degree and determining second recommended visiting places among the second preliminary recommended visiting places by using the second matching degree; transmitting the second recommended places to visit to the user terminal and receiving second preferred places to visit, which are the second recommended places to visit selected by the user, from the user terminal; Selecting a second reference required time matched with each of the airport, the second preferred lodgings, and the second preferred visiting places from the database, and selecting the airport, the second preferred lodgings, and the second preferred visiting place. A second required time weight value matched by visiting time is selected for each of the above, and a second required time weight corresponding to each of the airport and the second preferred visit places is selected using the second standard required time and the second required time weighted value. Determining the expected required time; A second reference travel time matching each of a plurality of second routes connecting the airport, the second preferred lodgings, and the second preferred visiting places is selected from the database, and a second reference travel time is selected for each of the second routes. selects a second travel time weight matched by means of transportation and by travel time, and determines a second expected travel time corresponding to each of the second routes using the second reference travel time and the second travel time weight; deciding; A plurality of second expected recommended travel routes connecting at least two or more of the airport, the second preferred lodgings, and the second preferred visit places are determined, and the second preferred visit included in the second expected recommended travel route is determined. Using the second expected travel time corresponding to each of the places and the second expected travel time corresponding to each of the second routes included in the second expected recommended flow, determining a corresponding second required time; determining the second recommended recommended traffic routes, the second expected recommended traffic routes for which the second necessary time is less than the activity time; transmitting the second recommended traffic routes to the user terminal and receiving second preferred traffic routes, which are the second recommended traffic routes selected by the user, from the user terminal; generating a second user travel plan using the second preferred routes; determining at least one merchant terminal whose business area matches the second user's travel plan; transmitting the second user travel plan to the matched at least one merchant terminal; Receiving at least one travel product from at least one seller terminal; transmitting the received at least one travel product to the user terminal; and receiving a preferred travel product selected from at least one of the travel products from the user terminal.

According to an embodiment of the present invention, options that match the user's information about the place to visit, lodging, and movement are provided to the user, and the user can directly select a favorite place to visit, accommodation, and movement from the provided options. . Through this, the user can establish a highly satisfactory travel plan without paying excessive time and money.

Further, according to another embodiment of the present invention, a travel product including at least a part of the user's travel plan is provided to the user. Through this, the user can establish a highly satisfactory travel plan combining only the advantages of free travel and package tour.

1 is a schematic diagram of a travel product sales service providing system according to an embodiment.
FIG. 2 is a block diagram showing functional modules of the travel product sales service device according to FIG. 1 as an example.
3 is a diagram conceptually illustrating a process of determining user priorities by a priority determining unit.
4 is a flowchart illustrating a process of a method of providing a travel product sales service according to an exemplary embodiment.
5 is a diagram conceptually illustrating a process in which a visit place determining module determines a recommended visit place.
6 is a diagram conceptually illustrating a process in which a visit place determining module determines a preferred visit place.
7 is a diagram conceptually illustrating a process of calculating business hours, estimated required time, and expected moving time by the movement route determination module.
8 is a diagram conceptually illustrating a process in which the movement route determining module determines a recommended movement route.
9 is a diagram conceptually illustrating a process in which the movement route determining module determines a preferred movement route.
10 is a diagram conceptually illustrating a process in which a lodging decision module determines a recommended lodging.
11 is a diagram conceptually illustrating a process in which a lodging decision module determines a preferred lodging.
12 is a diagram conceptually illustrating a process of a method of providing a travel product sales service according to another embodiment.
13 is a diagram conceptually illustrating a process in which a lodging decision module determines a recommended lodging.
14 is a diagram conceptually illustrating a process in which a lodging decision module determines a preferred lodging.
15 is a diagram conceptually illustrating a process in which a visit place determining module determines a recommended visit place.
16 is a diagram conceptually illustrating a process in which a visit place determining module determines a preferred visit place.
17 is a diagram conceptually illustrating a process in which the route determination module calculates business hours, distance, and expected travel time.
18 is a diagram conceptually illustrating a process in which the movement route determining module determines a recommended movement route.
19 is a diagram conceptually illustrating a process in which the lodging decision module determines a preferred route.
20 is a flowchart illustrating a process of a method of providing a travel product sales service according to another embodiment.
21 is a flowchart illustrating a process of determining user priorities by a product review unit.
22 is a diagram conceptually illustrating seller information and travel product information provided to a user terminal.
23 is a flowchart illustrating a process in which a travel information providing unit provides travel information to a user terminal.
24 is a flowchart illustrating a process of providing a lodging reservation service by a lodging unit.
25 is a flowchart illustrating a process of providing a restaurant reservation service by a restaurant reservation unit.
26 is a diagram showing the hardware configuration of the device according to FIG. 1 by way of example.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. Like reference numerals have been used for like elements throughout the description of each figure.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include any combination of a plurality of related recited items or any of a plurality of related recited items.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

In the present specification, "places to visit" may comprehensively include various places that tourists generally visit, such as art galleries, historical sites, restaurants, activity service providers, and the like.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram of a travel product sales service providing system according to an embodiment.

Referring to FIG. 1 , a travel product sales service providing system may include a device 100 , a user terminal 200 and a seller terminal 300 .

The user terminal 200 is a terminal of a user who wants to use a travel product sales service, registers user information in the device 100, transmits the user information to the device 100, and travel products through the device 100. Several functions of the sales service are available. At this time, the travel product sales service may be provided in the form of a platform.

The seller terminal 300 is a terminal of a travel product seller that proposes a travel product to a user, and may register seller information in the device 100 and be matched with a user who wants to use the travel product through the device 100. .

The pick-up terminal 400 is a driver's terminal that picks up and transports the user to a destination desired by the user, registers driver information in the device 100, and is matched with a user who wants to use the transport service through the device 100. can

For example, the user terminal 200, the seller terminal 300, and the pick-up terminal 400, a communicable desktop computer, a laptop computer, a notebook, a smart phone, Tablet PC, mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital Digital camera, digital multimedia broadcasting (DMB) player, digital audio recorder, digital audio player, digital video recorder, digital video player, It may be a PDA (Personal Digital Assistant) or the like.

The device 100 may be a server for providing a travel product sales service to at least one of the user terminal 200 and the seller terminal 300 . The device 100 may provide various services to the user terminal 200 and the seller terminal 300 by operating a travel product sales service.

In detail, the device 100 may request the user terminal 200 to prioritize selection of lodgings and places to visit, and may receive the priorities of lodgings and places to visit from the user terminal 200 .

In addition, the device 100 may sequentially determine the visit place, movement route, and lodging based on user information when the priority of the visit place is higher.

In addition, the device 100 may sequentially determine a lodging, a visiting place, and a movement line based on user information when lodging has priority.

In addition, the device 100 may determine the user's travel plan based on the determined visit place, movement line, and lodging.

In addition, the device 100 provides the user's travel plan to a seller terminal 300 whose business area overlaps with the user's travel plan among the plurality of seller terminals 300, and the seller terminal that receives the user's travel plan. At least one travel product related to the user's travel plan may be received from (300). The device 100 may provide a payment and reservation service based on a user's travel plan and at least one travel product.

Fig. 2 is a block diagram illustrating functional modules of the device according to Fig. 1 by way of example;

Referring to FIG. 2 , the device 100 requests the user terminal 200 to input priorities for places to visit and accommodations, and uses the priority determining unit 101 to receive the priorities from the user terminal 300. include

In addition, the device 100 includes a travel plan determining unit 102 for determining a place to visit, a route of movement, and an accommodation based on priorities and user information, and establishing a travel plan for the user based on the determined light spot, route, and accommodation. includes The travel plan determining unit 102 includes a visiting place determining module 102a, a route determining module 102b, and an accommodation determining module 102c.

In addition, the device 100 matches the user's travel plan and the seller terminal 300, receives a travel product from the matched seller terminal 300, and makes payment and reservation based on the user's travel plan and travel product. It includes a seller matching unit 103 that proceeds.

In addition, the device 100 compares the travel product information received from the seller terminal 300 with preset registration criteria, determines whether to register the travel product information based on the comparison result, and determines whether to register the travel product information and the travel product information registered. It includes a product review unit 104 that provides product information and corresponding seller information to the user terminal 300 .

In addition, the device 100 includes a travel information provider 105 that receives an information request from the user terminal 300 and provides travel information and travel product information matching the received information request to the user terminal 300 . include

In addition, the device 100 includes a lodging unit 106 that specifies lodgings that can be reserved based on the location information of the user terminal 300 and makes a reservation for the specified lodgings.

In addition, the device 100 includes a restaurant reservation unit 107 that specifies a restaurant that can be reserved based on the location information of the user terminal 300 and makes a reservation for the specified restaurant.

3 is a diagram conceptually illustrating a process of determining user priorities by a priority determining unit.

The priority determining unit 101 may request the user terminal 200 to input priorities for places to visit and accommodations, and when the priorities are input by the user, the priorities are received from the user terminal 200. .

The priority determination unit 101 determines whether to establish a travel plan by preferentially determining a visit place or a travel plan by preferentially determining an accommodation based on the received priorities.

4 is a flowchart illustrating a process of a method of providing a travel product sales service according to an exemplary embodiment.

When the priority for the place to visit is high among lodging and visiting places, the travel plan determining unit 102 sequentially determines the visiting place, route and lodging, and plans the user's travel based on the determined visiting place, route and lodging. establish

First, the travel plan determining unit 102 calculates a plurality of recommended places to visit based on user information and transmits them to the user terminal 200 (S110).

5 is a diagram conceptually illustrating a process in which the visit place determining module 102a determines a recommended visit place.

The visiting place determining module 102a determines a plurality of recommended visiting places based on user information. User information may include travel region, travel date, user's tourist destination preference, age, gender, relationship between persons, and user's food preference. The user's tourist destination preference may be preferences corresponding to activities, nature, culture, and shopping, respectively, and may be calculated based on a user's answer to a preset tourist destination preference questionnaire. The user's food preference may be a preference corresponding to each of representative foods sold by restaurants in a travel area selected by the user, and may be calculated based on the user's answer to a preset food preference questionnaire.

In an embodiment, the visiting place determining module 102a may match user information with a plurality of recommended visiting places through a first artificial neural network supervised by learning data. The first artificial neural network is a prediction model implemented in software or hardware that imitates the computational capability of a biological system by using a large number of artificial neurons (or nodes). According to an embodiment, the artificial neural network may be an artificial neural network based on a Convolution Neural Network (CNN), a Recurrent Neural Network (RNN), Long Short Term Memory models (LSTM), a Gated Recurrent Unit (GRU), or the like.

The learning data used for learning the first artificial neural network is the first feature vector (input value) converted from the travel region, travel date, user tourist destination preference, age, gender, and relationship between people included in user information and visit place information. It consists of a second feature vector (output value) that converts the location of the included tourist attraction, the business date of the tourist attraction, the services provided by the tourist attraction, the preference according to the age of the tourist attraction, the preference according to the gender of the tourist attraction, and the preference according to the relationship between the people in the tourist attraction. do. In addition, the learning data used for learning the first artificial neural network is the first feature vector (input value) converted from the travel region, travel date, user food preference, age, gender, and the relationship between people included in user information and the place of visit. A second feature vector (output value) that converts the location of the restaurant included in the information, the business date of the restaurant, the food served by the restaurant, the preference according to the age of the restaurant, the preference according to the gender of the restaurant, and the preference according to the relationship between the restaurant personnel It consists of Since supervised learning is learning performed in a state where the correct answer is known, the first feature vector (input value) and the second feature vector (output value) that are the correct answer relationship are labeled and used for learning.

The first artificial neural network may calculate a degree of similarity between a first feature vector obtained by converting user information and a second feature vector obtained by converting visit place information, and determine a plurality of recommended places to visit based on the calculated degree of similarity. In an embodiment, the first artificial neural network may determine visit places having a calculated similarity equal to or greater than a predetermined criterion as recommended visit places.

In another embodiment, the visiting place determining module 102a receives reservationable flight ticket information from an external server (not shown), matches the received ticket information with the travel area and travel date included in user information, and reservable departure flight ticket. and a return flight ticket list is provided to the user terminal 200 .

In addition, the visit place determining module 102a receives information on the departure and return tickets selected by the user from the user terminal 200, and arrives at and returns on the basis of the received information on the departure and return tickets. yields The arrival time means the time when the plane corresponding to the departure ticket arrives at the travel area airport, and the return time means the time when the plane corresponding to the return ticket leaves the travel area airport.

Also, the visiting place determining module 102a determines a plurality of preliminary recommended visiting places based on the travel area, travel date, arrival time and return time. Locations, business dates, and business hours corresponding to each of a plurality of business locations are pre-stored in the database of the device 100, and the visit place determination module 102a determines that the location, business date, and business hours are the user's travel area, A business place matching the travel date, arrival time, and return time is searched in the database, and the searched business place is determined as a preliminary recommended visit place. For example, a business place whose business hours end before the arrival time and a business place whose business hours start after the return time may be excluded from the preliminary recommended visit places.

In addition, when the preliminary recommended visiting place is a tourist destination, the visiting place determining module 102a determines the relationship between the plurality of preliminary recommended visiting places and the user based on the user's tourist destination preference, age, gender, and the relationship between the number of people included in the user information. A matching degree of , and a final recommended visiting place among a plurality of preliminary recommended visiting places may be determined based on the calculated matching degree.

Preferences for each of a plurality of preliminary recommended places to visit are preset and stored in the database of the device 100 for each age, gender, and relationship between persons (family, lover, friend, etc.). In addition, the user's tourist destination preference includes preference for each type of service provided by the preliminary recommended visit place. For example, if services provided by the preliminary recommended places to visit are classified into activities, nature, culture, and shopping, the user's tourist destination preference may include preferences for each of the categories (eg, activity 1, nature 0.9). , culture 0.5, shopping 0.3).

The visit place determining module 102a matches the user's tourist destination preference and the service of the preliminary recommended visit place, searches for the first preference for the service provided by the preliminary recommended visit place, and determines the relationship between the user's age, gender, and number of people. The second preference of the matched preliminary recommended visit place is searched.

The visit place determining module 102a may use a value obtained by multiplying the first preference and the second preference as a matching degree between the preliminary recommended visit place and the user. When the number of users is two or more, the average value of the matching degree for each user may be used as the overall matching degree.

When the preliminary recommended visiting place is a restaurant, the visiting place determining module 102a performs matching between a plurality of preliminary recommended visiting places and the user based on the user's food preference, age, gender, and the relationship between the number of people included in the user information. A final recommended visiting place among a plurality of preliminary recommended visiting places may be determined based on the calculated matching degree.

Preferences for each of a plurality of preliminary recommended places to visit are preset and stored in the database of the device 100 for each age, gender, and relationship between persons (family, lover, friend, etc.). In addition, the user's food preference includes preferences for each type of food provided by the preliminary recommended visit place. For example, if food provided by the preliminary recommended place to visit is classified as pizza, pasta, rosotto, and lasagna, the user's tourist destination preference may include preferences for each of the categories (eg, pizza 0.3, pasta 0.3). 1, rosoto 0.2, lasagna 0.5).

The visit place determining module 102a matches the user's food preference with food provided by the preliminary recommended visit place, and searches for a first preference for food provided by the preliminary recommended visit place. In one embodiment, the first preference may be determined as a preference for a food with the highest preference among foods provided by the preliminary recommended visit place. In addition, the visit place determining module 102a searches for a second preference of a preliminary recommended visit place matched with the user's age, gender, and the relationship between the number of people.

The visit place determining module 102a may use a value obtained by multiplying the first preference and the second preference as a matching degree between the preliminary recommended visit place and the user. When the number of users is two or more, the average value of the matching degree for each user may be used as the overall matching degree.

6 is a diagram conceptually illustrating a process in which the visit place determining module 102a determines a preferred visit place.

The visit place determining module 102a provides the determined plurality of recommended visit places to the user terminal 200, and receives a preferred visit place selected from the plurality of recommended visit places from the user terminal 200 (FIG. 4, S120). ).

Referring back to FIG. 4 , the travel plan determining unit 102 determines the business hours for each of the plurality of preferred places to visit, the estimated required time by time zone, and the expected travel time by time zone between the airport and the plurality of preferred places to visit. It is calculated (S130).

The travel plan determining unit 102 calculates the activity time corresponding to each day, and calculates the activity time by date, arrival time, return time, business hours by date for the preferred visit place, required time by time slot, airport and multiple times. Based on the expected travel time by time zone between the preferred places to visit, a recommended route by date is determined (S140).

7 is a diagram conceptually illustrating a process of calculating business hours, estimated required time, and expected moving time by the movement route determination module 102b.

8 is a diagram conceptually illustrating a process in which the movement route determining module determines a recommended movement route.

The route determination module 102b calculates activity time for each date based on the travel date, activity weight, arrival time, and return time.

The movement route determination module 102b calculates an activity weight based on age, gender, and physical strength included in user information. If the number of people is two or more, the average value of each person's activity weight may be used as the total activity weight.

The physical strength may be set based on a response to a predetermined questionnaire regarding the physical strength received from the user, and may be divided into a plurality of different levels. In one embodiment, physical strength may be classified as strong, moderate, or weak. Different physical strength weights are assigned to strong, normal, and weak, and weights may be sequentially set lower from strong to weak.

The database of the device 100 stores preset age weights for each age group and gender weights for each gender. In one embodiment, the highest age weight is set for a teenager, and the age weight may be set to sequentially decrease from 20's to 90's. In one embodiment, a relatively higher gender weight may be set for males compared to females.

The movement route determination module 102b may search user information for physical strength weight, age weight, and gender weight matched with age, gender, and physical strength, and calculate activity weight by multiplying the retrieved physical strength weight, age weight, and gender weight.

In addition, the movement route determining module 102b may determine a value obtained by multiplying an activity weight by a difference between an arrival time of the first day arriving at the travel area and a predetermined closing time as the activity time of the first day. For example, when the arrival time is 10:00, the schedule deadline is 21:00, and the activity weight is 1.2, the movement route determination module 102b may determine the activity time of the first day as 13.2.

In addition, the movement route determining module 102b may determine a value obtained by multiplying an activity weight by a difference between a preset schedule start time and a schedule end time as the activity time of the middle date. For example, when the schedule start time is 11 o'clock, the schedule end time is 21 o'clock, and the activity weight is 1.2, the movement route determining module 102b may determine the activity time of the middle date as 12.

In addition, the movement route determining module 102b may determine a value obtained by multiplying an activity weight by a difference between a predetermined start time and a return time leaving the travel area as the activity time of the return date. For example, when the schedule start time is 11 o'clock, the return time is 16 o'clock, and the activity weight is 1.2, the movement route determining module 102b may determine the activity time of the return date as 6.

When the activity time is determined, the movement route determination module 102b determines the activity time by date, arrival time, return time, business hours by date for the preferred visit place, required time by time zone, time by time between the airport and the plurality of preferred visit places. Based on the estimated travel time, the recommended route for each date is determined.

The movement route determination module 102b may correct the activity time for each day based on the weight for each day. The weight for each date may be set to a preset value in consideration of the user's fatigue accumulated as the travel date elapses. For example, the weight for each date may be set to sequentially decrease from the first date to the return date. For example, if the activity hours from the first date to the return date are sequentially 13.2, 12, and 6, and the weights for each date from the first date to the return date are 1, 0.9, and 0.8, the activity time from the first date to the return date can be calibrated to 13.2, 10.8, 4.8.

The route determination module 102b creates a plurality of nodes each corresponding to an airport and a plurality of preferred places to visit, and assigns a label to each of the created nodes. Also, the movement line determination module 102b creates an edge connecting one of the plurality of nodes to another, and assigns a weight to the created edge.

The route determination module 102b may set a label of a node based on an expected required time corresponding to an airport or a preferred visit place.

In the database of the device 100, a preset reference required time corresponding to each of the airport and a plurality of preferred visit places is stored, and the route determination module 102b searches the database for a reference required time corresponding to a node.

In the database of the device 100, predetermined time weights are stored for each visit time for each of the airport and a plurality of preferred places to visit, and the route determination module 102b determines the node in the database and the time required corresponding to the visit time of the node. Retrieve weights. The required time weight may be set based on the expected number of visitors for each visit time for an airport or preferred visit place corresponding to the node.

The movement route determining module 102b calculates the estimated required time by multiplying the searched standard required time with the required time weight. The movement route determining module 102b may correct the expected required time by multiplying the calculated estimated required time by activity fatigue levels set in advance for the airport and a plurality of preferred places to visit. Activity fatigue may be set based on activities performed by the user at the airport and a plurality of preferred places to visit. For example, when a user visits an art museum and performs a bicycle tour, relatively high activity fatigue may be set for the bicycle tour compared to the museum visit.

The movement route determination module 102b determines the label of the node based on the corrected expected required time. For example, if the corrected expected required time of any one node is 3 hours, the route determination module 102b may set the label of the corresponding node to 3. That is, the label may be set for each visiting time based on the standard required time and the required time weight value retrieved from the database.

The movement route determination module 102b sets a weight for an edge that matches a path between one of a plurality of nodes corresponding to an airport or a preferred visit place and another one.

In the database of the device 100, a preset reference movement time corresponding to an edge connecting one of a plurality of nodes to another is stored, and the movement line determination module 102b determines the reference movement time corresponding to an edge in the database. Search.

The database of the device 100 stores preset travel time weights for each transportation means and travel time for the edge, and the route determination module 102b stores the edge, the travel time of the edge, and the travel time weight corresponding to the transportation mode in the database. search for The travel time weight may be set based on the degree of delay for each travel time of a means of transportation traveling on a path corresponding to the edge. For example, when the transportation means is a bus and the travel time is 12 o'clock, the travel time weight may be set based on the traffic traffic of the corresponding route at 12 o'clock and the frequency of the bus at 12 o'clock.

The movement route determination module 102b calculates the expected movement time by multiplying the reference movement time by the movement time weight. The movement line determining module 102b may correct the expected travel time by multiplying the calculated expected travel time by a preset travel fatigue for each means of transportation. For example, a relatively high degree of travel fatigue may be set for travel by taxi compared to travel by bus.

The movement route determination module 102b sets the weight of the edge based on the corrected expected movement time. That is, weights may be set for each means of transportation and each travel time based on the reference travel time and expected travel time determined in the database.

The movement route determination module 102b sets a plurality of recommended recommended movement routes and calculates a required time for each of the plurality of recommended recommended movement routes.

The expected recommended route includes some nodes selected from a plurality of nodes and edges capable of connecting all of the selected nodes. Then, the moving path determination module 102b calculates the sum of the labels of the selected nodes and the weights of the selected edges. Labels of nodes and weights of edges can be selected over time. For example, if the arrival time of the first date is 13:00, the first node is an airport, and a label assigned to the airport at 13:00 is selected. Then, the movement path determining module 102b selects a weight of a first edge connecting the first node and the second node. When the label of the first node is 1, the weight of the first edge is selected from among weights set for each mode of transportation for 14 o'clock. The first node of the first date may be set as a node corresponding to an airport. The last node of the return date may be set to a node corresponding to the airport.

The movement route determination module 102b calculates the required time for the expected recommended movement by adding the sum of the labels of the selected nodes and the sum of the weights of the selected edges. The required time is calculated for each of a plurality of expected recommended routes.

The movement route determining module 102b compares the required time for each of the plurality of recommended recommended movement routes with the activity time for each date of the user, and determines recommended recommended movement routes whose required time is less than or equal to the activity time. For example, when the activity time of the first day is 13.2, expected recommended circulations having a required time of 13.2 or less may be selected as the recommended circulations of the first day.

9 is a diagram conceptually illustrating a process in which the movement route determining module 102b determines a preferred movement route.

When the recommended traffic routes by date are determined, the movement route determination module 102b transmits the recommended traffic routes by date to the user terminal 200, and the user terminal 200 receives the preferred traffic route by date selected from the recommended traffic routes by date (S150 in FIG. 4). ).

Referring back to FIG. 4 , the travel plan determining unit 102 determines recommended lodgings for each date based on the preferred travel route for each date, and transmits the determined recommended lodgings for each date to the user terminal (S160).

In addition, the travel plan determining unit 102 receives the preferred lodging by date selected from the recommended lodgings by date in the user terminal 200, and creates a user travel plan based on the preferred lodging by date and the preferred movement route by date (S170).

10 is a diagram conceptually illustrating a process in which the lodging decision module 102c determines a recommended lodging.

The lodging determination module 102c determines the starting place for each date based on the preferred movement line for each date. For example, when the preferred flow of the first date starts from the airport, the lodging determination module 102c may determine the airport as the starting place of the first date.

The lodging determination module 102c determines preliminary recommended lodgings for each date where the distance from the starting place for each date is less than or equal to a preset reference distance and the number of people included in the user information is available for reservation.

The lodging decision module 102c may determine a final recommended lodging among preliminary recommended lodgings for each date based on the lodging budget, age, gender, and relationship between persons included in the user information.

In the database of the device 100, preferences for each of the plurality of preliminary recommended lodgings are preset and stored according to age, gender, and relationship between persons (family, lover, friend, etc.).

The visiting place determining module 102a may search accommodation preferences of preliminary recommended lodgings matched with the user's age, gender, and relationship between the number of people.

The lodging decision module 102c classifies the pre-recommended lodgings whose prices are lower than the user's lodging budget from among the pre-recommended lodgings by date, and among the classified pre-recommended lodgings, the pre-recommended lodgings whose lodging preference exceeds the predetermined standard are selected as the final recommended lodgings. can be determined by

11 is a diagram conceptually illustrating a process in which the lodging decision module 102c determines a preferred lodging.

When the recommended route by date is determined, the lodging decision module 102c transmits the recommended lodging by date to the user terminal 200, and receives the preferred lodging by date selected from the recommended lodging by date from the user terminal 200 (FIG. 4, S170). ).

When the preferred lodging by date is received, the lodging determining module 102c determines the travel plan of the user based on the preferred lodging by date and the preferred lodging by date. Preferred lodging for the first day may be located immediately after the airport, and preferred lodging for the remaining days may be located immediately in front of the starting area.

12 is a diagram conceptually illustrating a process of a method of providing a travel product sales service according to another embodiment.

When lodging has a high priority among lodging and visiting places, the travel plan determining unit 102 sequentially determines lodging, visiting places, and routes, and sets the user's travel plan based on the determined lodging, visiting places, and moving routes. establish

First, the travel plan determining unit 102 calculates a plurality of recommended accommodations based on user information and transmits them to the user terminal 200 (S210).

13 is a diagram conceptually illustrating a process in which the lodging decision module 102c determines a recommended lodging.

The lodging determination module 102c determines a plurality of recommended lodgings based on user information. User information may include travel region, travel date, lodging budget, preferred lodging information, age, gender, number of people, and relationship between people. Preferred lodging information may include information on whether breakfast is provided, size, whether meals are available, whether swimming facilities are available, whether fitness facilities are available, and whether spa facilities are available.

In an embodiment, the lodging determination module 102c may match user information with a plurality of recommended places to visit through a second artificial neural network supervised by learning data. The second artificial neural network is a predictive model implemented in software or hardware that imitates the computational capability of a biological system by using a large number of artificial neurons (or nodes). According to an embodiment, the artificial neural network may be an artificial neural network based on a Convolution Neural Network (CNN), a Recurrent Neural Network (RNN), Long Short Term Memory models (LSTM), a Gated Recurrent Unit (GRU), or the like.

The learning data used for learning the second artificial neural network is the first feature vector (input value) converted from the travel region, travel date, lodging budget, preferred lodging information, age, gender, number of people, and relationship between people included in user information. Accommodation location included in accommodation information, available dates for accommodation, price of accommodation, preference based on age, preference based on gender, preference based on relationship between people in accommodation, size of accommodation, provision of accommodation It consists of a second feature vector (output value) converted to facilities (breakfast, dining, swimming facilities, fitness facilities, spa facilities, etc.).

The second artificial neural network may calculate a similarity between the first feature vector converted from user information and the second feature vector converted from accommodation information, and determine a plurality of recommended lodgings based on the calculated similarity. In one embodiment, the first artificial neural network may determine lodgings whose calculated similarity is equal to or higher than a preset criterion as recommended lodgings.

In another embodiment, the lodging determination module 102c receives reservationable flight ticket information from an external server (not shown), matches the received ticket information with the travel area and travel date included in the user information, and obtains a reservationable departure flight ticket and A return ticket list is provided to the user terminal 200 .

In addition, the lodging determination module 102c receives information on the departure and return tickets selected by the user from the user terminal 200, and determines the arrival time and return time based on the received information on the departure and return tickets. yield The arrival time means the time when the plane corresponding to the departure ticket arrives at the travel area airport, and the return time means the time when the plane corresponding to the return ticket leaves the travel area airport.

In addition, the accommodation determining module 102c determines a plurality of preliminary recommended places to visit based on the travel area, travel date, and number of people. In the database of the device 100, the location corresponding to each of the plurality of accommodations and the number of people available for reservation by date are pre-stored, and the accommodation determining module 102c determines the number of people available for reservation by location and date, the user's travel area, travel date, and number of people. Accommodation that matches with is searched in the database, and the searched accommodation is determined as a preliminary recommended visit place. The database may receive and store the number of people available for reservation by date for each of a plurality of accommodations from an external server (not shown). The number of people available for reservation for each date may be received at preset time intervals.

In addition, the lodging decision module 102c may determine a final recommended lodging among a plurality of preliminary recommended lodgings based on lodging budget included in user information, preferred lodging information, age, gender, number of people, and relationship between people. .

In the database of the device 100, preferences for each of the plurality of preliminary recommended lodgings are preset and stored according to age, gender, and relationship between persons (family, lover, friend, etc.).

The visiting place determining module 102a may search accommodation preferences of preliminary recommended lodgings matched with the user's age, gender, and relationship between the number of people.

Accommodation determination module 102c classifies preliminary recommended lodgings whose prices are lower than the user's lodging budget among a plurality of preliminary recommended lodgings, and among the classified preliminary recommended lodgings, the preliminary recommended lodgings whose lodging preference exceeds a preset standard are selected as final recommended lodgings. can be determined by

14 is a diagram conceptually illustrating a process in which the lodging decision module 102c determines a preferred lodging.

The lodging determination module 102c provides the determined plurality of recommended lodgings to the user terminal 200, and receives the preferred lodgings for each date selected from the plurality of recommended visiting places in the user terminal 200 (FIG. 12, S220).

Referring back to FIG. 12 , the travel plan determining unit 102 determines recommended places to visit by date based on user information and preferred lodging by date, and transmits the determined recommended places to visit by date to the user terminal (S230).

In addition, the travel plan determining unit 102 receives preferred visiting places by date selected from the recommended visiting places by date from the user terminal 200 (S240).

15 is a diagram conceptually illustrating a process in which the visit place determining module 102a determines recommended visit places for each date.

The visiting place determining module 102a calculates an activity area for each date based on the location of each preferred lodging for each date. Areas located within a preset distance from each location may be set as the active area.

In addition, the visit place determining module 102a determines a plurality of preliminary recommended visit places based on the activity area for each date, arrival time, and return time. In the database of the device 100, locations, business dates, and business hours corresponding to each of a plurality of business places are pre-stored, and the visit place determination module 102a determines the location, business dates, and business hours by date, activity area, arrival A business place matching the time and return time is searched in the database, and the searched business place is determined as a preliminary recommended visit place. For example, a business place whose business hours end before the arrival time and a business place whose business hours start after the return time may be excluded from the preliminary recommended visit places. Since the preliminary recommended visiting places are searched based on the activity area by date, the preliminary recommended visiting places can be searched by date. That is, the visit place determining module 102a searches preliminary recommended visit places by date.

In addition, when the preliminary recommended visiting place is a tourist destination, the visiting place determining module 102a determines the relationship between the plurality of preliminary recommended visiting places and the user based on the user's tourist destination preference, age, gender, and the relationship between the number of people included in the user information. A matching degree of , and a final recommended visiting place among a plurality of preliminary recommended visiting places may be determined based on the calculated matching degree.

When the preliminary recommended visiting place is a restaurant, the visiting place determining module 102a performs matching between a plurality of preliminary recommended visiting places and the user based on the user's food preference, age, gender, and the relationship between the number of people included in the user information. A final recommended visiting place among a plurality of preliminary recommended visiting places may be determined based on the calculated matching degree.

16 is a diagram conceptually illustrating a process in which the visit place determining module 102a determines a preferred visit place.

The visit place determining module 102a provides the determined recommended places to visit by date to the user terminal 200, and receives the preferred places to visit by date selected from the recommended places to visit by date from the user terminal 200 (FIG. 12, S240). .

Referring back to FIG. 12 , the travel plan determining unit 102 calculates the business hours of the preferred visit places by date and required time by time zone, and the preferred visit place by date and the time-by-hour estimate between the plurality of preferred visit places. The movement time is calculated (S250).

The travel plan determining unit 102 calculates the activity time corresponding to each date, the calculated activity time per day, arrival time, return time, business hours per day for the preferred visit place, required time per time zone, preferred lodging per day Based on the expected moving time by time zone between fields and preferred visit places by date, a recommended route by date is determined (S260).

17 is a diagram conceptually illustrating a process of calculating business hours, expected required time, and expected moving time by the movement route determining module 102b.

18 is a diagram conceptually illustrating a process in which the movement route determination module 102b determines a recommended movement route.

The route determination module 102b calculates activity time for each date based on the travel date, activity weight, arrival time, and return time.

The movement route determination module 102b calculates an activity weight based on age, gender, and physical strength included in user information.

The physical strength may be set based on a response to a predetermined questionnaire regarding the physical strength received from the user, and may be divided into a plurality of different levels. For example, stamina can be classified as strong, moderate, or weak.

In addition, the movement route determining module 102b may determine a value obtained by multiplying an activity weight by a difference between an arrival time of the first day arriving at the travel area and a predetermined closing time as the activity time of the first day. For example, when the arrival time is 10:00, the schedule deadline is 21:00, and the activity weight is 1.2, the movement route determination module 102b may determine the activity time of the first day as 13.2.

In addition, the movement route determining module 102b may determine a value obtained by multiplying an activity weight by a difference between a preset schedule start time and a schedule end time as the activity time of the middle date. For example, when the schedule start time is 11 o'clock, the schedule end time is 21 o'clock, and the activity weight is 1.2, the movement route determining module 102b may determine the activity time of the middle date as 12.

In addition, the movement route determining module 102b may determine a value obtained by multiplying an activity weight by a difference between a predetermined start time and a return time leaving the travel area as the activity time of the return date. For example, when the schedule start time is 11 o'clock, the return time is 16 o'clock, and the activity weight is 1.2, the movement route determining module 102b may determine the activity time of the return date as 6.

When the activity time is determined, the movement route determination module 102b determines the activity time by date, arrival time, return time, business hours by date for the preferred visit place, required time by time zone, time by time between the airport and the plurality of preferred visit places. Based on the estimated travel time, the recommended route for each date is determined.

The movement route determination module 102b may correct the activity time for each day based on the weight for each day. The weight for each date may be set to a preset value in consideration of the user's fatigue accumulated as the travel date elapses. For example, the weight for each date may be set to sequentially decrease from the first date to the return date. For example, if the activity hours from the first date to the return date are sequentially 13.2, 12, and 6, and the weights for each date from the first date to the return date are 1, 0.9, and 0.8, the activity time from the first date to the return date can be calibrated to 13.2, 10.8, 4.8.

The route determination module 102b creates a plurality of nodes each corresponding to an airport, preferred lodgings by date, and preferred visiting places by date, and assigns a label to each of the created nodes. Also, the movement line determining module 102b creates an edge connecting one of the plurality of nodes to another, and assigns a weight to the created edge.

The route determination module 102b may set the label of the node based on the expected required time corresponding to the airport, preferred lodging, or preferred visiting place.

In the database of the device 100, a predetermined standard required time corresponding to each of airports, preferred lodgings by date, and a plurality of preferred visiting places is stored, and the route determination module 102b determines the standard required time corresponding to a node in the database. Search.

In the database of the device 100, predetermined time weights are stored for each visit time for each of the airport, preferred lodgings by date, and a plurality of preferred visit places, and the route determination module 102b determines the node and the visit time of the node in the database. Retrieve the required time weight corresponding to . The required time weight may be set based on the expected number of visitors for each visit time for an airport or preferred visit place corresponding to the node.

The movement route determining module 102b calculates the estimated required time by multiplying the searched standard required time with the required time weight. The movement route determining module 102b may correct the expected required time by multiplying the calculated expected required time by activity fatigue levels set in advance for the airport, preferred lodgings by date, and preferred visiting places by date, respectively. Activity fatigue may be set based on activities performed by the user at airports, preferred accommodations by date, and preferred visit places by date. For example, when a user visits an art museum and performs a bicycle tour, relatively high activity fatigue may be set for the bicycle tour compared to the museum visit.

The movement route determination module 102b determines the label of the node based on the corrected expected required time. For example, if the corrected expected required time of any one node is 3 hours, the route determination module 102b may set the label of the corresponding node to 3. That is, the label may be set for each visiting time based on the standard required time and the required time weight value retrieved from the database.

The route determination module 102b sets a weight for an edge that matches a path between one node and another node among a plurality of nodes corresponding to airports, preferred lodgings by date, and preferred visit places by date.

In the database of the device 100, a preset reference movement time corresponding to an edge connecting one of a plurality of nodes to another is stored, and the movement line determination module 102b determines the reference movement time corresponding to an edge in the database. Search.

The database of the device 100 stores preset travel time weights for each transportation means and travel time for the edge, and the route determination module 102b stores the edge, the travel time of the edge, and the travel time weight corresponding to the transportation mode in the database. search for The travel time weight may be set based on the degree of delay for each travel time of a means of transportation traveling on a path corresponding to the edge. For example, when the transportation means is a bus and the travel time is 12 o'clock, the travel time weight may be set based on the traffic traffic of the corresponding route at 12 o'clock and the frequency of the bus at 12 o'clock.

The movement route determination module 102b calculates the expected movement time by multiplying the reference movement time by the movement time weight. The movement line determining module 102b may correct the expected travel time by multiplying the calculated expected travel time by a preset travel fatigue for each means of transportation. For example, a relatively high degree of travel fatigue may be set for travel by taxi compared to travel by bus.

The movement route determination module 102b sets the weight of the edge based on the corrected expected movement time. That is, weights may be set for each means of transportation and each travel time based on the reference travel time and expected travel time determined in the database.

The movement route determination module 102b sets expected recommended movement routes by date based on preferred accommodations by date and preferred recommended visiting places by date, and calculates a required time for each of the set predicted recommended movement routes by date.

The expected recommended movement line by date includes some nodes selected from a plurality of nodes and edges that can connect all of the selected nodes. Then, the moving path determination module 102b calculates the sum of the labels of the selected nodes and the weights of the selected edges. Labels of nodes and weights of edges can be selected over time. For example, if the arrival time of the first date is 13:00, the first node is an airport, and a label assigned to the airport at 13:00 is selected. Then, the movement path determining module 102b selects a weight of a first edge connecting the first node and the second node. When the label of the first node is 1, the weight of the first edge is selected from among weights set for each mode of transportation for 14 o'clock. The first node of the first date may be set as a node corresponding to an airport. The last node of the return date may be set to a node corresponding to the airport.

The movement route determination module 102b calculates the required time for the expected recommended movement by adding the sum of the labels of the selected nodes and the sum of the weights of the selected edges. The required time is calculated for each of the recommended recommended routes for each date.

The movement route determination module 102b compares the required time for each expected recommended movement route by date with the user's daily activity time, and determines the recommended movement route with a required time less than or equal to the activity time as the recommended movement route. For example, when the activity time of the first day is 13.2, expected recommended circulations having a required time of 13.2 or less may be selected as the recommended circulations of the first day.

19 is a diagram conceptually illustrating a process in which the movement route determining module 102b determines a preferred movement route.

When the recommended traffic routes by date are determined, the route determination module 102b transmits the recommended traffic routes by date to the user terminal 200 (S260 in FIG. 12).

In addition, the movement route determination module 102b receives the preferred movement route by date selected from the recommended movement routes by date from the user terminal 200, and generates a user travel plan based on the preferred route by date (S270 in FIG. 12).

20 is a flowchart illustrating a process of a method of providing a travel product sales service according to another embodiment.

The seller matching unit 103 determines at least one matching seller terminal whose business area matches the user's travel plan among the plurality of seller terminals 300 (S310). The business area is a preset area for each of the plurality of seller terminals 300 and is stored in the database of the device 100 .

In addition, the seller matching unit 103 transmits the user travel plan to at least one matched seller terminal (S320).

In addition, the seller matching unit 103 receives at least one travel product from at least one matching seller terminal (S330). The at least one travel product includes at least one of a departure ticket, a return ticket, a plurality of preferred accommodations, and a plurality of preferred visit places included in the user's travel plan.

In addition, the seller matching unit 103 transmits the received at least one travel product to the user terminal 200 (S340) and receives the preferred travel product selected from the at least one travel product from the user terminal 200 (S340). S350).

In addition, the seller matching unit 103 performs payment and reservation based on the user's travel plan and preferred travel product (S360).

21 is a flowchart illustrating a process in which the product review unit 104 determines user priorities.

First, the product examination unit 104 receives travel product information from the seller terminal 300 (410). The travel product information refers to information on travel products sold by the seller terminal 300 and the corresponding seller. The travel product information may include a travel product name, price, schedule, number of people, related keywords, and a description of the travel product.

In addition, the product review unit 104 compares the received travel product information with preset registration standards, and determines whether or not to register the travel product result based on the comparison result (S420). In one embodiment, the preset registration criterion may include whether the price is included in a preset price range corresponding to the travel product, whether or not a plurality of preset essential information are all included in the travel product information, and the like. The product review unit 104 registers the travel product information as a sellable travel product when the received travel product information meets a preset registration criterion.

In addition, the product examination unit 104 provides registered travel product information and seller information corresponding to the travel product information to the user terminal 200 (S430).

The device 100 provides registered travel product information to the user terminal 200, and when a request for providing information on specific travel product information is received from the user terminal 200, the travel product specified by the user terminal 200 Together with the information, travel product information and corresponding seller information are provided to the user terminal 200 .

22 is a diagram conceptually illustrating seller information and travel product information provided to the user terminal 200 . The seller information may include a unique identifier (ID) of the seller, introduction of the seller, an image designated by the seller, and travel product information for each of the travel products sold by the seller. The travel product information may include a travel product name, price, schedule, number of people, ratings, and keywords related to the travel product.

Also, the product examination unit 104 may provide a search service for travel product information to the user terminal 200 . When a search word is received from the user terminal 200 , the product review unit 104 may provide the user terminal 200 with travel product information matching the search word.

23 is a flowchart illustrating a process in which the travel information providing unit 105 provides travel information to the user terminal 200 .

First, the travel information provider 105 receives an information request from the user terminal 200 (S510). In one embodiment, the information request may include a means of transportation to reach the tourist destination, an entrance fee to the tourist destination, a description of the tourist destination, a tour product related to the tourist destination, and a price of the tour product related to the tourist destination.

When the information request is received, the travel information provider 105 searches the database for travel information matching the information request (S520). In the database of the device 100, information related to tourist attractions, restaurants, and lodgings may be pre-stored.

In addition, the travel information providing unit 105 searches for travel product information that matches the information request among the travel product information provided by the seller terminal 300 (S530). The database of the device 100 stores travel product information provided by the seller terminal 300, and the device 100 searches for travel product information that matches the information request.

In addition, the travel information provider 105 transmits the searched travel information and travel product information to the user terminal 200 (S540).

24 is a flowchart illustrating a process in which the lodging reservation unit 106 provides a lodging reservation service.

First, the accommodation reservation unit 106 specifies a lodging where the distance from the user terminal 200 is equal to or less than a predetermined reference distance based on the location information of the user terminal 200 and the lodging location (S610). The accommodation reservation unit 106 calculates the distance between each of the plurality of accommodations and the user terminal 200 based on the location information of each of the plurality of accommodations stored in the database and the location information of the user terminal 200. and specifies a lodging where the distance from the user terminal 200 is equal to or less than a predetermined reference distance.

In addition, the lodging reservation unit 106 determines whether or not the specified lodging can be reserved based on the reservation information of the specified lodging (S620). The lodging reservation unit 106 may receive reservation information on the reservation status of the lodging at predetermined time intervals. The information on the reservation status of the accommodation received is stored in the database.

In addition, if the specified lodging is available for reservation, the lodging reservation unit 106 transmits lodging information on the specified lodging to the user terminal 200 (S630). Accommodation information may include the name of the accommodation, description of the accommodation, rating, price, number of people available for reservation, services provided, facilities provided, and the like.

In addition, when a reservation request is received from the user terminal 200, the lodging reservation unit 106 makes a reservation for the specified lodging (S640).

When the reservation for the lodging is confirmed, the lodging reservation unit 106 may transmit driver information about the plurality of pickup terminals 400 to the user terminal 200 . When a reservation request for a specific pickup terminal 400 is received from the user terminal 200, the accommodation reservation unit 106 makes a reservation for the pickup terminal 400.

25 is a flowchart illustrating a process in which the restaurant reservation unit 107 provides a restaurant reservation service.

First, the restaurant reservation unit 107 specifies a restaurant whose distance from the user terminal 200 is less than or equal to a predetermined reference distance based on the location information of the user terminal 200 and the location information of the restaurant (S710). The restaurant reservation unit 107 calculates the distance between each of the plurality of restaurants and the user terminal 200 based on the location information of each of the plurality of restaurants stored in the database and the location information of the user terminal 200. and specifies a restaurant whose distance from the user terminal 200 is equal to or less than a predetermined reference distance.

In addition, the restaurant reservation unit 107 determines whether or not the specified restaurant can be reserved based on the reservation information of the specified restaurant (S720). The restaurant reservation unit 107 may receive reservation information on the reservation status of the restaurant at predetermined time intervals. Information on the reservation status of the received restaurant is stored in the database.

In addition, if the specified restaurant can be reserved, the restaurant reservation unit 107 transmits restaurant information about the specified restaurant to the user terminal 200 (S730). The restaurant information may include the name of the restaurant, a description of the restaurant, ratings, prices, the number of people available for reservation, menus provided, and the like.

In addition, when a reservation request is received from the user terminal 200, the restaurant reservation unit 107 makes a reservation for the specified restaurant (S740).

When the reservation for the restaurant is confirmed, the restaurant reservation unit 107 may transmit driver information about the plurality of pick-up terminals 400 to the user terminal 200 . When a reservation request for a specific pickup terminal 400 is received from the user terminal 200 , the restaurant reservation unit 107 makes a reservation for the pickup terminal 400 .

26 is a diagram showing the hardware configuration of the device according to FIG. 1 by way of example.

Referring to FIG. 26 , the apparatus 100 includes at least one processor 110 and a memory storing instructions instructing the at least one processor 110 to perform at least one operation. (memory).

The at least one operation may include the components 101 to 107 of the above-described device 100 or other functions or operation methods.

Here, the at least one processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor for performing methods according to embodiments of the present invention. can Each of the memory 120 and the storage device 160 may include at least one of a volatile storage medium and a non-volatile storage medium.

For example, the memory 120 may be one of a read only memory (ROM) and a random access memory (RAM), and the storage device 160 may be a flash-memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, a micro SD card).

In addition, the device 100 may include a transceiver 130 that performs communication through a wireless network. In addition, the device 100 may further include an input interface device 140 , an output interface device 150 , a storage device 160 , and the like. Each component included in the device 100 may be connected by a bus 170 to communicate with each other.

For example, the device 100 may include a communicable desktop computer, a laptop computer, a notebook, a smart phone, a tablet PC, and a mobile phone. , smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game device, navigation device, digital camera, DMB (digital multimedia broadcasting) player , a digital audio recorder, a digital audio player, a digital video recorder, a digital video player, a personal digital assistant (PDA), and the like.

The first artificial neural network and the second artificial neural network may include an artificial neural network 10 communicatively connected to the device 100, and the artificial neural network 10 may include an input layer, a hidden layer, and an output layer.

In one embodiment, the first artificial neural network and the second artificial neural network receive an input value and have nodes corresponding to the number of components of the first feature vector for each of the input layer 10 and the output value of the input layer 10 one or more hidden layers that multiply connection strengths (or weights), add biases, and output the result; and an output layer that multiplies each output value of the hidden layer by a connection strength (or weight) and outputs the result using an activation function. For example, the activation function may be a LeRU function or a Softmax function, but is not limited thereto. Connection strength and bias can be continuously updated by supervised learning.

Specifically, the first artificial neural network and the second artificial neural network may be supervised so that an output value of a loss function according to a given input value (first feature vector) and output value (second feature vector) is minimized. For example, the loss function H(Y,Y′) may be defined as in Equation 1 below.

In Equation 1, Y _m is the m-th component of the second feature vector, and may be the m-th component of the output vector output by receiving the first feature vector from the first artificial neural network and the second artificial neural network.

The methods according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded on a computer readable medium. Computer readable media may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on a computer readable medium may be specially designed and configured for the present invention or may be known and usable to those skilled in computer software.

Examples of computer readable media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may include not only machine language codes generated by a compiler but also high-level language codes that can be executed by a computer using an interpreter and the like. The hardware device described above may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

In addition, the above-described method or device may be implemented by combining all or some of its components or functions, or may be implemented separately.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be done.

Claims (1)

A method of providing a travel product sales service through a reverse auction performed by an apparatus, comprising:
Receiving, from a user terminal, priority information including a ranking for each place to visit and lodging;
If the ranking for the place to visit is higher than the ranking for the lodging, first user information including travel region, travel date, user tourist destination preference, age, gender, number of people, relationship between people, user food preference, and physical strength is stored in advance. It is input as an input value to the learned first artificial neural network, a plurality of first recommended places to visit are acquired from the first artificial neural network, the first recommended places to visit are transmitted to the user terminal, and from the user terminal, the user receiving first preferred places to visit that are the selected first recommended places to visit;
selecting age weight, gender weight, and physical strength weight matched with the age, gender, and physical strength from a database, and determining a product of the age weight, gender weight, and physical strength weight as an activity weight;
determining an activity time corresponding to the travel date using an arrival time of the first day arriving at the travel area, a preset schedule start time, a preset schedule end time, a return time leaving the travel area, and the activity weight;
In the database, a first standard required time matched with each of the airport and the first preferred places to visit is selected, and a first required time weight value matched for each of the airport and the first preferred places to visit is selected. and determining a first estimated required time corresponding to each of the airport and the first preferred visit places using the first reference required time and the first required time weighted value;
A first reference travel time that matches each of a plurality of first routes connecting the airport and the first preferred places to visit is selected from the database, and a first reference travel time is selected for each of the first routes by means of transportation and by travel time. selecting a first travel time weight matched with , and determining a first expected travel time corresponding to each of the first routes using the first reference travel time and the first travel time weight;
Determine a plurality of first recommended recommended traffic routes connecting at least two of the airport and the first preferred places to visit, and determine the first recommended recommended traffic routes corresponding to each of the first preferred places included in the first recommended recommended routes Using the first expected travel time and the first expected travel time corresponding to each of the first routes included in the first recommended recommended traffic route, the first required time corresponding to each of the first recommended recommended traffic routes is determined. deciding;
determining the first recommended recommended traffic routes, wherein the first required time is less than the activity time;
transmitting the first recommended traffic routes to the user terminal and receiving first preferred traffic routes, which are the first recommended traffic routes selected by the user, from the user terminal;
determining a starting place corresponding to each of the first preferred routes of movement, and determining a plurality of first preliminary recommended lodgings whose distance from the starting place is less than or equal to a predetermined reference distance and the number of people available for reservation is greater than or equal to the number of people;
selecting lodging preferences matched with the first preliminary recommended lodging, the age, the gender, and the relationship between the persons in the database;
determining, as first recommended lodgings, the first preliminary recommended lodgings whose lodging preference is equal to or greater than a preset standard;
transmitting the first recommended lodgings to the user terminal and receiving first preferred lodgings, which are the first recommended lodgings selected by the user, from the user terminal;
generating a first user travel plan using the first preferred routes and the first preferred lodgings;
If the ranking of the lodging is higher than the ranking of the visit place, the second user including the travel region, the travel date, lodging budget, preferred lodging information, the age, the gender, the number of people, and the relationship between the people Information is input as an input value to the second artificial neural network that has been learned in advance, a plurality of second recommended lodgings are obtained from the second artificial neural network, the second recommended lodgings are transmitted to the user terminal, and the second recommended lodging is transmitted from the user terminal. receiving second preferred lodgings that are the second recommended lodgings selected by the user;
setting areas located within a preset distance from the location of each of the second preferred lodgings as an activity area corresponding to each of the second preferred lodgings;
determining a plurality of second preliminary recommended places to visit using the activity area, the arrival time, and the return time;
When the second preliminary recommended places to visit are tourist destinations, a first matching degree corresponding to each of the preliminary recommended places to visit using the relationship between the tourist destination preference, the age, the gender, and the number of persons included in the first user information calculating and determining second recommended places to visit among the second preliminary recommended places to visit using the first matching degree;
When the second preliminary recommended places to visit are restaurants, the second preliminary recommended places to visit correspond to each of the second preliminary places to visit using the relationship between the food preference, the age, the gender, and the number of persons included in the first user information. calculating a matching degree and determining second recommended visiting places among the second preliminary recommended visiting places by using the second matching degree;
transmitting the second recommended places to visit to the user terminal and receiving second preferred places to visit, which are the second recommended places to visit selected by the user, from the user terminal;
Selecting a second reference required time matched with each of the airport, the second preferred lodgings, and the second preferred visiting places from the database, and selecting the airport, the second preferred lodgings, and the second preferred visiting place. A second required time weight value matched by visiting time is selected for each of the above, and a second required time weight corresponding to each of the airport and the second preferred visit places is selected using the second standard required time and the second required time weighted value. Determining the estimated required time;
A second reference travel time matching each of a plurality of second routes connecting the airport, the second preferred lodgings, and the second preferred visiting places is selected from the database, and a second reference travel time is selected for each of the second routes. selects a second travel time weight matched by means of transportation and by travel time, and determines a second expected travel time corresponding to each of the second routes using the second reference travel time and the second travel time weight; deciding;
A plurality of second expected recommended travel routes connecting at least two or more of the airport, the second preferred lodgings, and the second preferred visit places are determined, and the second preferred visit included in the second expected recommended travel route is determined. Using the second expected travel time corresponding to each of the places and the second expected travel time corresponding to each of the second routes included in the second expected recommended flow, determining a corresponding second necessary time;
determining the second recommended recommended traffic routes, the second expected recommended traffic routes for which the second necessary time is less than the activity time;
transmitting the second recommended traffic routes to the user terminal and receiving second preferred traffic routes, which are the second recommended traffic routes selected by the user, from the user terminal;
generating a second user travel plan using the second preferred routes;
determining at least one merchant terminal whose business area matches the second user's travel plan;
transmitting the second user travel plan to at least one matched merchant terminal;
Receiving at least one travel product from at least one seller terminal;
transmitting the received at least one travel product to the user terminal; and
Receiving a preferred travel product selected from at least one of the travel products from the user terminal,
How to provide a travel product sales service.

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