KR102451539B1 - Apparatus, method and program for providing travel package sales services - Google Patents

Abstract

According to an embodiment of the present invention, a device for providing a travel product sales service is provided. The device comprises: a priority determination unit for receiving priority information including a priority for each place to visit and accommodation from a user terminal; a travel plan determination unit for determining a user travel plan based on user information including travel area, travel date, user tourist destination preference, age, gender, number of people, relationship between people, user food preference, and physical strength, and the priority information; and a seller matching unit for comparing the user travel plan with business areas of a plurality of seller terminals to determine a matched seller terminal in which at least a part of the user travel plan is included in the business area, transmitting the user travel plan to the matched seller terminal, and performing reservation and payment for the user travel plan based on a travel product received from the matched seller terminal and the user travel plan. The travel plan determination unit determines a preferred place to visit, a preferred flow line, and a preferred accommodation based on the user information and the priority and determines the user travel plan based on the preferred place to visit, the preferred flow line, and the preferred accommodation. Accordingly, a user can establish a satisfactory travel plan without paying excessive time and money.

Description

TRAVEL PACKAGE SALES SERVICES

The present invention relates to a travel sales service apparatus, method and program.

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

The types of travel are broadly classified into free travel and package tours. Free travel is a form in which an individual plans all the itineraries, and package travel is a form in which an individual uses a travel product in which all of the travel schedules are planned by a travel product planner.

In the case of free travel, there is an advantage that the individual can enjoy the trip as he pleases, but on the contrary, it has the disadvantage of having to plan everything individually.

Package travel has the advantage of being convenient because you can enjoy the itinerary that has already been planned, but it has the disadvantage of not experiencing things other than the planned itinerary.

As the demand for travel increases, the number of consumers who want a travel product that combines the advantages of free travel and package travel is increasing.

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

An object of the present invention is to provide a travel product sales service device that recommends to a user a visit place, an accommodation, and a movement line matching the user's information, and determines the user's travel plan based on the visit place, accommodation and movement route selected by the user; To provide methods and programs.

Another object of the present invention is to provide a travel product sales service apparatus, method, and program for 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 an apparatus for providing a travel product sales service.

The apparatus may include: a priority determining unit for receiving priority information including a priority for each of the visited places and accommodations from the user terminal; a travel plan determining unit for determining a user travel plan based on the priority information and user information including a travel area, a travel date, a user's tourist destination preference, age, gender, the number of people, a relationship between persons, a user's food preference and physical strength; and comparing the user travel plan with the business areas of a plurality of seller terminals to determine a matching seller terminal including at least a portion of the user travel plan in the business area, and transmitting the user travel plan to the matching seller terminal, and a seller matching unit configured to make a reservation and payment for the user travel plan based on the travel product received from the matching merchant terminal and the user travel plan.

In addition, the travel plan determiner, based on the user information and the priority, determines a preferred visit place, a preferred movement route, and a preferred accommodation, and the user travel plan based on the preferred visit place, the preferred movement line and the preferred accommodation can be decided

In addition, when the ranking for the visit place is higher than the ranking for the accommodation, the travel plan determining unit determines a plurality of recommended visit places based on the user information, and selects the plurality of recommended visit places in the user terminal. a plurality of routes for receiving at least one preferred visit place selected from, determining an expected required time corresponding to an airport and each of the at least one preferred visiting place, and connecting the airport and the at least one preferred visit place determine an expected movement time corresponding to each of the, determine a plurality of recommended movement lines based on the expected required time and the expected movement time, and at least one of the preferred movement lines selected from the plurality of recommended movement lines in the user terminal to determine a plurality of recommended accommodations based on the user information and the at least one preferred movement line, and receive at least one preferred accommodation selected from the plurality of recommended accommodations in the user terminal.

In addition, the travel plan determining unit calculates an activity time corresponding to each of the dates included in the travel date based on the travel date, and each of the plurality of routes based on the expected required time and the expected travel time and calculates a required time corresponding to , and a route in which the required time is equal to or less than the active time among the plurality of routes may be determined as the recommended movement route.

In addition, the travel plan determining unit determines a plurality of departure tickets and a plurality of return tickets matching the travel date and transmits them to the user terminal, and the plurality of departure tickets and the plurality of return tickets from the user terminal receive a departure ticket and a return ticket selected from and calculates the activity time based on the travel date, the arrival time, the return time, and the activity weight.

In addition, the travel plan determining unit, based on a preset reference time required for each of the airport and the at least one preferred visit place and a preset time weight for each visit time for the airport and each of the at least one preferred visit place to calculate the estimated required time, and based on a preset reference travel time for each of the plurality of routes and a preset travel time weight for each transportation means and travel time for each of the plurality of routes, the estimated travel time can be calculated.

In addition, when the ranking for the accommodation is higher than the ranking for the visited place, the travel plan determining unit determines a plurality of recommended accommodations based on the user information, and selects the plurality of recommended accommodations from the plurality of recommended accommodations in the user terminal. Receives a plurality of the preferred accommodations selected to correspond to each of the dates included in the travel date, calculates a plurality of activity areas corresponding to each of the plurality of preferred accommodations, and stores in the plurality of activity areas and the user information. determines a plurality of recommended visit places based on the information, receives at least one preferred visit place selected from the plurality of recommended visit places in the user terminal, an airport, the plurality of preferred places, and the at least one preferred visit place Determining an expected travel time corresponding to each place, determining an expected travel time corresponding to each of a plurality of routes connecting between the airport, the plurality of preferred accommodations, and the at least one preferred visit place, A plurality of recommended moving lines may be determined based on a required time and the expected moving time, and at least one preferred moving line selected from the plurality of recommended moving lines may be received from the user terminal.

In addition, the travel plan determining unit calculates an activity time corresponding to each of the dates included in the travel date based on the travel date, and each of the plurality of routes based on the expected required time and the expected travel time and calculates a required time corresponding to , and a route in which the required time is equal to or less than the active time among the plurality of routes may be determined as the recommended movement route.

In addition, the travel plan determining unit determines a plurality of departure tickets and a plurality of return tickets matching the travel date and transmits them to the user terminal, and the plurality of departure tickets and the plurality of return tickets from the user terminal receive a departure ticket and a return ticket selected from and calculates the activity time based on the travel date, the arrival time, the return time, and the activity weight.

In addition, the travel plan determining unit, based on a preset reference time required for each of the airport and the at least one preferred visit place and a preset time weight for each visit time for the airport and each of the at least one preferred visit place to calculate the estimated required time, and based on a preset reference travel time for each of the plurality of routes and a preset travel time weight for each transportation means and travel time for each of the plurality of routes, the estimated travel time can be calculated.

According to an embodiment of the present invention, options matching the user's information are provided to the user with respect to the place to be visited, the accommodation, and the movement route, and the user can directly select a favorite place to visit, the accommodation and the movement route from the provided options. . Through this, the user can establish a high-satisfaction travel plan without paying excessive time and money.

In addition, 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 high-satisfaction travel plan that combines only the advantages of free travel and package travel.

1 is a schematic diagram of a travel product sales service providing system according to an embodiment.
FIG. 2 is a block diagram exemplarily showing a functional module of the travel product sales service apparatus according to FIG. 1 .
3 is a diagram conceptually illustrating a process in which a priority determining unit determines a user priority.
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 the visit place determination module determines a recommended visit place.
6 is a diagram conceptually illustrating a process in which the visit place determining module determines a preferred visit place.
7 is a diagram conceptually illustrating a process in which the movement route determination module calculates business hours, expected required time, and estimated travel time.
8 is a diagram conceptually illustrating a process in which a movement route determination module determines a recommended movement route.
9 is a diagram conceptually illustrating a process in which the moving line determining module determines a preferred moving line.
10 is a diagram conceptually illustrating a process in which the lodging determination module determines a recommended lodging.
11 is a diagram conceptually illustrating a process in which the lodging determination 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 exemplary embodiment.
13 is a diagram conceptually illustrating a process in which the lodging determination module determines a recommended lodging.
14 is a diagram conceptually illustrating a process in which the lodging determining module determines a preferred lodging.
15 is a diagram conceptually illustrating a process in which the visit place determination module determines a recommended visit place.
16 is a diagram conceptually illustrating a process in which the visit place determining module determines a preferred visit place.
17 is a diagram conceptually illustrating a process in which the movement route determination module calculates business hours, distances, and estimated travel times.
18 is a diagram conceptually illustrating a process in which a movement route determination module determines a recommended movement route.
19 is a diagram conceptually illustrating a process in which the accommodation determination module determines a preferred movement 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 in which a product review unit determines a user priority.
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 in which the lodging reservation unit provides an lodging reservation service.
25 is a flowchart illustrating a process in which the restaurant reservation unit provides a restaurant reservation service.
FIG. 26 is a diagram exemplarily illustrating a hardware configuration of the apparatus according to FIG. 1 .

Since the present invention can have various changes and can have various embodiments, specific embodiments are 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. In describing each figure, like reference numerals have been used for like elements.

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

When a component is referred to as being “connected” or “connected” to another component, it may be directly connected or connected to the other component, but it is understood that other components may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

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 this invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

As used herein, the term “visited place” may include various places that tourists generally visit, such as art galleries, historical sites, restaurants, and activity service providers.

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 , the travel product sales service providing system may include an apparatus 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, and registers user information in the device 100 , transmits the user information to the device 100 , and uses the device 100 for travel products. Several features of the sales service are available. In this case, 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 offers a travel product to a user, registers seller information in the device 100 , and can be matched with a user who wants to use the travel product through the device 100 . .

The pickup terminal 400 is a terminal of an article that picks up a user and transfers it to a destination desired by the user, registers article information in the device 100, and matches the user who wants to use the transfer service through the apparatus 100 can

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

Specifically, the device 100 may request the user terminal 200 to select a priority for the accommodation and the visited place, and may receive the priority for the accommodation and the visited place from the user terminal 200 .

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

Also, when the priority of the accommodation is preceded, the device 100 may sequentially determine the accommodation, the visit place, and the movement line based on user information.

Also, the device 100 may determine the user's travel plan based on the determined visit place, movement route, and accommodation.

In addition, the device 100 provides the user's travel plan to the seller terminal 300 in which the business area of the plurality of seller terminals 300 overlaps with the user's travel plan, and the seller terminal provided with 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 the user's travel plan and at least one travel product.

FIG. 2 is a block diagram exemplarily showing a functional module of the device according to FIG. 1 .

Referring to FIG. 2 , the device 100 requests the user terminal 200 to input a priority for a visiting place and accommodation, and a priority determiner 101 for receiving the priority from the user terminal 300 . include

In addition, the device 100 determines the place to visit, the movement route and the accommodation based on the priority and the user information, and the travel plan determination unit 102 that establishes the user's travel plan based on the determined light spot, the movement route and the accommodation. includes The travel plan determination unit 102 includes a visit place determination module 102a, a movement route determination module 102b and a lodging determination module 102c.

In addition, the device 100 matches the user's travel plan with 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 and a seller matching unit 103 in progress.

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

In addition, the device 100 receives an information request from the user terminal 300 and provides a travel information providing unit 105 that 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 reservation unit 106 that specifies a reservable lodging based on the location information of the user terminal 300 and performs a reservation for the specified lodging.

In addition, the apparatus 100 includes a restaurant reservation unit 107 that specifies a reservable restaurant based on the location information of the user terminal 300 and performs a reservation for the specified restaurant.

3 is a diagram conceptually illustrating a process in which a priority determining unit determines a user priority.

The priority determining unit 101 may request the user terminal 200 to input the priority for the place to be visited and the accommodation, and when the priority is input by the user, the priority is received from the user terminal 200 . .

The priority determining unit 101 determines whether to establish a travel plan by preferentially determining whether to establish a travel plan by preferentially determining a visit place based on the received priority, or by preferentially determining a lodging.

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 be visited among the accommodation and the place to be visited is high, the travel plan determining unit 102 sequentially determines the place to be visited, the movement route and the accommodation, and based on the determined place, the movement route and the accommodation, the user's travel plan to establish

First, the travel plan determiner 102 calculates a plurality of recommended visit places based on user information and transmits the calculated places 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 visit place determination module 102a determines a plurality of recommended visit places based on user information. The user information may include a travel area, a travel date, a user's tourist destination preference, an age, a gender, a relationship between people, and a user's food preference. The user's tourist destination preference may be a preference corresponding to each of activity, nature, culture, and shopping, and may be calculated based on the user's answer to a preset tourist attraction 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 visit place determining module 102a may match user information with a plurality of recommended visit places through a first artificial neural network supervised by learning data. The first artificial neural network is a predictive model implemented in software or hardware that mimics the computational power of a biological system using a large number of artificial neurons (or nodes). According to an embodiment, the artificial neural network may be an artificial neural network according to a Convolution Neural Network (CNN), a Recurrent Neural Network (RNN), Long ShortTerm Memory models (LSTM), a Gated Recurrent Unit (GRU), or the like.

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

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

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

In addition, the visit place determination module 102a receives information on a departure ticket and a return ticket selected by the user from the user terminal 200, and based on the information on the received departure ticket and return ticket, the arrival time and return time to calculate The arrival time means the time at which the airplane corresponding to the departure ticket arrives at the travel area airport, and the return time means the time at which the airplane corresponding to the return ticket leaves the travel area airport.

In addition, the visit place determination module 102a determines a plurality of preliminary recommended visit places based on the travel area, the travel date, the arrival time, and the return time. In the database of the device 100, the location, business date, and business time corresponding to each of the plurality of business places are pre-stored, and the visit place determination module 102a is configured such that the location, business date, and business time 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 where 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 place.

In addition, the visit place determination module 102a is configured to, when the preliminary recommended visit place is a tourist destination, based on the user's tourist destination preference, age, gender, and the relationship between the number of people included in the user information, between the plurality of preliminary recommended visit places and the user. may calculate a matching degree of , and determine a final recommended visit place among a plurality of preliminary recommended visit places based on the calculated matching degree.

In the database of the device 100, preferences for each of the plurality of preliminary recommended visit places are preset and stored for each age, gender, and interpersonal relationship (family, lover, friend, etc.). In addition, the user's tourist destination preference includes a preference for each of the types of services provided by the pre-recommended visit place. For example, when the service provided by the preliminary recommended visit place is classified into activity, nature, culture, and shopping, the user's tourist destination preference may include a preference for each of the classifications (eg, activity 1, nature 0.9). , culture 0.5, shopping 0.3).

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

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

The visit place determination module 102a is configured to match between a plurality of preliminary recommended visit places and the user, based on the user's food preference, age, gender, and the relationship between people included in the user information, when the preliminary recommended visit place is a restaurant. A degree may be calculated, and a final recommended visiting place may be determined from among a plurality of preliminary recommended visiting places based on the calculated matching degree.

In the database of the device 100, preferences for each of the plurality of preliminary recommended visit places are preset and stored for each age, gender, and interpersonal relationship (family, lover, friend, etc.). In addition, the user's food preference includes a preference for each type of food provided by the pre-recommended visit place. For example, when food provided by the pre-recommended visit place is classified into pizza, pasta, rosotto, and lasagna, the user's tourist destination preference may include a preference for each of the classifications (eg, pizza 0.3, pasta). 1, rosotto 0.2, lasagna 0.5).

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

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

6 is a diagram conceptually illustrating a process of the visit place determining module 102a determining a preferred visit place.

The visit place determination 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 calculates the business hours for each of the plurality of preferred visit places, the expected required time for each time zone, and the estimated travel time for each time zone between the airport and the plurality of preferred visit places. Calculate (S130).

The travel plan determining unit 102 calculates the activity time corresponding to each date, and calculates the activity time for each day, the arrival time, the return time, the business hours for each day for the preferred visit place, the time required for each time, the airport and the plurality Based on the estimated travel time for each time between the preferred visit places of the day, the recommended movement is determined (S140).

7 is a diagram conceptually illustrating a process in which the movement route determination module 102b calculates business hours, expected required time, and estimated travel time.

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

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

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

The stamina may be set based on a response of a preset questionnaire about the stamina received from the user, and may be divided into a plurality of different levels. In one embodiment, stamina may be classified as strong, moderate, or weak. Strong, normal, and weak are given different physical strength weights, and the weights may be sequentially set lower from strength to weakness.

In the database of the device 100 , a preset age weight for each age group and a preset gender weight for each gender are previously stored. In an embodiment, the highest age weight may be set in a teenager, and the age weight may be set to decrease sequentially from a person in their 20s to their 90s. In an embodiment, a relatively high gender weight may be set for males compared to females.

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

In addition, the movement route determination module 102b may determine a value obtained by multiplying the activity weight by the difference between the arrival time of the first day arriving in the travel area and the preset schedule deadline time as the activity time of the first day. For example, if the arrival time is 10 o'clock, 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 determination module 102b may determine a value obtained by multiplying the difference between the preset schedule start time and the schedule end time by an activity weight as the activity time of the middle date. For example, when the schedule start time is 11 o'clock, the schedule end time is 21:00, and the activity weight is 1.2, the movement route determination module 102b may determine the activity time of the middle date as 12.

Also, the movement route determination module 102b may determine a value obtained by multiplying a difference between a preset schedule start time and a return time leaving the travel area by an activity weight as the activity time of the return date. For example, when the schedule start time is 11 o'clock, the return time is 16:00, and the activity weight is 1.2, the movement route determination module 102b may determine the activity time of the return date to be 6.

When the activity time is determined, the movement route determination module 102b is configured for each day activity time, arrival time, return time, business hours per day for preferred visit places, required time per time period, and time between the airport and a plurality of preferred visit places Based on the estimated travel time, the recommended route for each day is determined.

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

The movement route determination module 102b generates a plurality of nodes, each corresponding to an airport and a plurality of preferred visit places, and gives a label to each of the generated nodes. In addition, the moving route determination module 102b creates an edge connecting any one of the plurality of nodes and the other, and gives weight to the generated edge.

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

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

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

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

The movement line determination module 102b determines the label of the node based on the corrected estimated required time. For example, when the corrected estimated required time of any one node is 3 hours, the movement route determination module 102b may set the label of the corresponding node to 3 . That is, the label may be set for each visit time based on the reference required time and the required time weight retrieved from the database.

The movement route determination module 102b sets a weight for an edge matching a path between any one of a plurality of nodes corresponding to an airport or a preferred visited place and the other.

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

In the database of the device 100, preset travel time weights are stored for each transportation means and travel time with respect to the edge, and the movement route determination module 102b is an edge, an edge movement time and a movement time weight corresponding to the transportation means in the database. search for The movement time weight may be set based on the degree of delay for each movement time of the means of transportation moving the path corresponding to the edge. For example, when the means of transportation 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 route determination module 102b may correct the estimated movement time by multiplying the calculated expected movement time by the predetermined movement fatigue for each means of transportation. For example, a relatively high degree of movement fatigue may be set for movement through a taxi compared to movement through a bus.

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

The movement line determination module 102b sets a plurality of expected recommended movement lines, and calculates a required time for each of the set plurality of expected recommended movement lines.

The predicted recommended movement path includes some nodes selected from a plurality of nodes and edges capable of connecting all of the selected nodes. Then, the movement path determination module 102b calculates the sum of the labels of the selected nodes and the sum of the weights of the selected edges. Labels of nodes and weights of edges may be selected over time. For example, if the arrival time of the first day 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 determination module 102b selects the weight of the first edge connecting the first node and the second node. When the label of the first node is 1, for the weight of the first edge, any one of the weights set for each transportation means is selected for 14 o'clock. The first node of the first date may be set as a node corresponding to the airport. The last node of the return date may be set as a node corresponding to the airport.

The movement route determination module 102b calculates the required time for the expected recommended movement route 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 plurality of expected recommended movement lines.

The movement route determination module 102b compares the required time for each of the plurality of expected recommended movement lines with the user's daily activity time, and determines the expected recommended movement lines for which the required time is less than the active time as the recommended movement route. For example, if the activity time of the first day is 13.2, the expected recommended movement routes of which the required time is 13.2 or less may be selected as the recommended movement routes of the first day.

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

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

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

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

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

The lodging determination module 102c determines a starting place for each day based on the preferred movement line for each day. For example, when the preferred movement route of the first date starts from the airport, the accommodation 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 in which 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 can be reserved.

The lodging determination module 102c may determine a final recommended lodging among the preliminary recommended lodgings by date, based on the lodging budget, age, gender, and the relationship between the number of people included in the user information.

In the database of the device 100 , preferences for each of the plurality of preliminary recommended accommodations are preset for each age, gender, and interpersonal relationship (family, lover, friend, etc.) and stored.

The visit place determination module 102a may search for accommodation preference of the pre-recommended accommodation matching the user's age, gender, and the relationship between persons.

The accommodation determination module 102c classifies preliminary recommended accommodations whose price is less than or equal to the user's accommodation budget among the preliminary recommended accommodations by date, and selects preliminary recommended accommodations whose accommodation preference is greater than or equal to a preset standard among the classified preliminary recommended accommodations as final recommended accommodations. can be decided with

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

When the recommended movement by date is determined, the accommodation determination module 102c transmits the recommended accommodations by date to the user terminal 200, and receives the preferred accommodations by date selected from the recommended accommodations by date from the user terminal 200 (Fig. 4, S170). ).

When the preferred lodging by date is received, the lodging determination module 102c determines the user's travel plan based on the preferred movement by date and the preferred lodging by date. The preferred lodgings of the first day may be arranged immediately behind the airport, and the preferred lodgings of the remaining days may be arranged immediately in front of the starting place.

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

If the priority for the accommodation is high among the accommodation and the visiting place, the travel plan determining unit 102 sequentially determines the accommodation, the visiting place and the movement route, and based on the determined accommodation, the visiting place and the movement route, the user's travel plan establish

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

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

The accommodation determination module 102c determines a plurality of recommended accommodations based on user information. The user information may include a travel region, a travel date, an accommodation budget, preferred accommodation information, age, gender, number of persons, and a relationship between persons. The preferred lodging information may include information on whether breakfast is provided, size, edible availability, swimming facilities, fitness facilities, and spa facilities.

In an embodiment, the accommodation determination module 102c may match user information with a plurality of recommended visit places 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 mimics the computational power of a biological system using a large number of artificial neurons (or nodes). According to an embodiment, the artificial neural network may be an artificial neural network according to a Convolution Neural Network (CNN), a Recurrent Neural Network (RNN), Long ShortTerm Memory models (LSTM), a Gated Recurrent Unit (GRU), or the like.

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

The second artificial neural network may calculate a similarity between a first feature vector converted from user information and a second feature vector converted from lodging information, and may determine a plurality of recommended accommodations based on the calculated similarity. In an embodiment, the first artificial neural network may determine accommodations having a calculated similarity greater than or equal to a preset standard as recommended accommodations.

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 selects a reservationable departure ticket and A return ticket list is provided to the user terminal 200 .

In addition, the accommodation determination module 102c receives information on the departure ticket and return ticket 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 ticket and return ticket. Calculate. The arrival time means the time at which the airplane corresponding to the departure ticket arrives at the travel area airport, and the return time means the time at which the airplane corresponding to the return ticket leaves the travel area airport.

In addition, the accommodation determination module 102c determines a plurality of preliminary recommended visit places based on the travel area, the travel date, and the number of people. The database of the device 100 pre-stores the number of available reservations by location and date corresponding to each of the plurality of accommodations, and the accommodation determination module 102c, in which the number of available reservations by location and date is the user's travel area, travel date, and number of persons Searches the database for accommodations that match the The database may receive and store the number of reservations available per date for each of a plurality of accommodations from an external server (not shown). The number of reservations available per day may be received at a preset time interval.

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

In the database of the device 100 , preferences for each of the plurality of preliminary recommended accommodations are preset for each age, gender, and interpersonal relationship (family, lover, friend, etc.) and stored.

The visit place determination module 102a may search for accommodation preference of the pre-recommended accommodation matching the user's age, gender, and the relationship between persons.

The accommodation determination module 102c classifies preliminary recommended accommodations whose price is less than or equal to the user's accommodation budget among a plurality of preliminary recommended accommodations, and selects preliminary recommended accommodations whose accommodation preference is greater than or equal to a preset standard among the classified preliminary recommended accommodations as final recommended accommodations. can be decided by

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

The accommodation determination module 102c provides the determined plurality of recommended accommodations to the user terminal 200, and receives the preferred accommodations by date selected from the plurality of recommended visit places in the user terminal 200 (Fig. 12, S220).

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

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

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

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

In addition, the visit place determination module 102a determines a plurality of pre-recommended visit places based on the daily activity area, arrival time, and return time. In the database of the device 100, the location, business date, and business time corresponding to each of the plurality of business places are pre-stored, and the visit place determination module 102a is, 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 where 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 place. Since the preliminary recommended visit place is searched based on the activity area for each date, the preliminary recommended visit place may be searched for each date. That is, the visit place determination module 102a searches for preliminary recommended visit places by date.

In addition, the visit place determination module 102a is configured to, when the preliminary recommended visit place is a tourist destination, based on the user's tourist destination preference, age, gender, and the relationship between the number of people included in the user information, between the plurality of preliminary recommended visit places and the user. may calculate a matching degree of , and determine a final recommended visit place among a plurality of preliminary recommended visit places based on the calculated matching degree.

The visit place determination module 102a is configured to match between a plurality of preliminary recommended visit places and the user, based on the user's food preference, age, gender, and the relationship between people included in the user information, when the preliminary recommended visit place is a restaurant. A degree may be calculated, and a final recommended visiting place may be determined from among a plurality of preliminary recommended visiting places based on the calculated matching degree.

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

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

Referring back to FIG. 12 , the travel plan determining unit 102 calculates the business hours and time required for each preferred visit place by date, and predicts the preferred visit place by date and the time period 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, and calculates the activity time for each day, the arrival time, the return time, the business hours per day for the preferred visit place, the required time per time period, the preferred accommodation per day Based on the expected movement time for each time zone between the fields and the preferred visit places by date, a recommended movement route for each date is determined (S260).

17 is a diagram conceptually illustrating a process in which the movement route determination module 102b calculates business hours, expected required time, and estimated travel time.

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

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

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

The stamina may be set based on a response of a preset questionnaire about the stamina received from the user, and may be divided into a plurality of different levels. For example, stamina may be classified as strong, moderate, or weak.

In addition, the movement route determination module 102b may determine a value obtained by multiplying the activity weight by the difference between the arrival time of the first day arriving in the travel area and the preset schedule deadline time as the activity time of the first day. For example, if the arrival time is 10 o'clock, 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 determination module 102b may determine a value obtained by multiplying the difference between the preset schedule start time and the schedule end time by an activity weight as the activity time of the middle date. For example, when the schedule start time is 11 o'clock, the schedule end time is 21:00, and the activity weight is 1.2, the movement route determination module 102b may determine the activity time of the middle date as 12.

Also, the movement route determination module 102b may determine a value obtained by multiplying a difference between a preset schedule start time and a return time leaving the travel area by an activity weight as the activity time of the return date. For example, when the schedule start time is 11 o'clock, the return time is 16:00, and the activity weight is 1.2, the movement route determination module 102b may determine the activity time of the return date to be 6.

When the activity time is determined, the movement route determination module 102b is configured for each day activity time, arrival time, return time, business hours per day for preferred visit places, required time per time period, and time between the airport and a plurality of preferred visit places Based on the estimated travel time, the recommended route for each day is determined.

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

The movement route determination module 102b generates a plurality of nodes each corresponding to an airport, preferred accommodations by date, and preferred visit places by date, and gives a label to each of the generated nodes. In addition, the movement route determination module 102b generates an edge connecting any one of the plurality of nodes and the other, and assigns a weight to the generated edge.

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

In the database of the device 100, a preset reference time is stored corresponding to each of the airports, preferred accommodations by date, and a plurality of preferred visit places, and the movement route determination module 102b determines the reference travel time corresponding to the node in the database. Search.

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

The movement route determination module 102b calculates the estimated required time by multiplying the searched reference required time and the required time weight. The movement route determination module 102b may correct the estimated required time by multiplying the calculated expected required time by each preset activity fatigue for the airport, preferred accommodations by date, and preferred visit places by date. Activity fatigue may be set based on the activity performed by the user at the airport, preferred lodgings by date, and preferred visit places by date. For example, when a user visits an art museum and performs a bicycle tour, a relatively high activity fatigue may be set for the bicycle tour compared to the museum visit.

The movement line determination module 102b determines the label of the node based on the corrected estimated required time. For example, when the corrected estimated required time of any one node is 3 hours, the movement route determination module 102b may set the label of the corresponding node to 3 . That is, the label may be set for each visit time based on the reference required time and the required time weight retrieved from the database.

The movement route determination module 102b sets a weight for an edge that matches a route between any one of a plurality of nodes and the other corresponding to the airport, preferred accommodations by date, and preferred visit place by date.

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

In the database of the device 100, preset travel time weights are stored for each transportation means and travel time with respect to the edge, and the movement route determination module 102b is an edge, an edge movement time and a movement time weight corresponding to the transportation means in the database. search for The movement time weight may be set based on the degree of delay for each movement time of the means of transportation moving the path corresponding to the edge. For example, when the means of transportation 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 route determination module 102b may correct the estimated movement time by multiplying the calculated expected movement time by the predetermined movement fatigue for each means of transportation. For example, a relatively high degree of movement fatigue may be set for movement through a taxi compared to movement through a bus.

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

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

The predicted recommended movement line for each day includes some nodes selected from a plurality of nodes and edges capable of connecting all of the selected nodes. Then, the movement path determination module 102b calculates the sum of the labels of the selected nodes and the sum of the weights of the selected edges. Labels of nodes and weights of edges may be selected over time. For example, if the arrival time of the first day 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 determination module 102b selects the weight of the first edge connecting the first node and the second node. When the label of the first node is 1, for the weight of the first edge, any one of the weights set for each transportation means is selected for 14 o'clock. The first node of the first date may be set as a node corresponding to the airport. The last node of the return date may be set as a node corresponding to the airport.

The movement route determination module 102b calculates the required time for the expected recommended movement route 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 expected recommended routes for each day.

The movement route determination module 102b compares the required time for each of the expected recommended movement lines by date with the user's daily activity time, and determines the expected recommended movement routes for which the required time is less than the active time as the recommended movement route. For example, if the activity time of the first day is 13.2, the expected recommended movement routes of which the required time is 13.2 or less may be selected as the recommended movement routes of the first day.

19 is a diagram conceptually illustrating a process of determining a preferred moving line by the moving line determining module 102b.

When the recommended daily movement routes are determined, the movement route determination module 102b transmits the recommended daily movement routes to the user terminal 200 (FIG. 12, S260).

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 movement route by date (FIG. 12, S270).

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 stored in the database of the device 100 as a preset area for each of the plurality of seller terminals 300 .

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

Also, the seller matching unit 103 receives at least one travel product from the 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 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 a preferred travel product selected from at least one travel product from the user terminal 200 ( S350).

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

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

First, the product review 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 corresponding to the seller terminal 300 . The travel product information may include a travel product name, price, schedule, number of people, related keywords, description of the travel product, and the like of the travel product.

Also, the product review unit 104 compares the received travel product information with a preset registration standard, and determines whether to register the travel product result based on the comparison result (S420). In an embodiment, the preset registration criteria may include whether a price is included in a preset price range corresponding to a travel product, whether all of a plurality of preset essential information are 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 standard.

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

The device 100 provides the 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 . The information and the seller information corresponding to the travel product information is 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, an introduction to 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 of the travel product, a price, a schedule, the number of people, a rating, and keywords related to the travel product.

Also, the product review 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 travel product information matching the search word to the user terminal 200 .

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 providing unit 105 receives an information request from the user terminal 200 (S510). In an embodiment, the information request may include a means of transportation to reach the tourist destination, an entrance fee of the tourist destination, a description of the tourist destination, a travel product associated with the tourist destination, a price of a travel product associated with the tourist destination, and the like.

When the information request is received, the travel information providing unit 105 searches for travel information matching the information request in the database (S520). In the database of the device 100 , information related to tourist destinations, restaurants, and accommodations may be pre-stored.

In addition, the travel information providing unit 105 searches for travel product information matching the information request among the travel product information provided by the seller terminal 300 ( S530 ). Travel product information provided by the seller terminal 300 is stored in the database of the device 100 , and the device 100 searches for travel product information matching the information request.

In addition, the travel information providing unit 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 an lodging reservation service.

First, the accommodation reservation unit 106, based on the location information of the user terminal 200 and the location information of the accommodation, the distance to the user terminal 200 specifies the accommodation that is less than a preset reference distance (S610). The accommodation reservation unit 106 calculates a 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, the distance to the user terminal 200 specifies the accommodation that is less than or equal to the preset reference distance.

In addition, the lodging reservation unit 106 determines whether the specified lodging can be reserved based on the reservation information of the specified lodging (S620). The accommodation reservation unit 106 may receive reservation information on the reservation status of the accommodation at preset time intervals. The received information on the reservation status of the accommodation is stored in the database.

In addition, when the specified lodging can be reserved, the lodging reservation unit 106 transmits lodging information on the specified lodging to the user terminal 200 ( S630 ). The lodging information may include a name of the lodging, a description of the lodging, a rating, a price, the number of people that can be reserved, services provided, facilities provided, and the like.

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

When the reservation for the accommodation is confirmed, the accommodation reservation unit 106 may transmit article information on 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 performs 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, based on the location information of the user terminal 200 and the location information of the restaurant, a restaurant having a distance from the user terminal 200 equal to or less than a preset reference distance (S710). The restaurant reservation unit 107 calculates a distance between each of the plurality of restaurants and the user terminal 200 based on the location information of the user terminal 200 and the location information for each of the plurality of restaurants stored in the database. and specify a restaurant whose distance from the user terminal 200 is less than or equal to a preset reference distance.

In addition, the restaurant reservation unit 107, based on the reservation information of the specified restaurant, determines whether a reservation of the specified restaurant is possible (S720). The restaurant reservation unit 107 may receive reservation information about the reservation status of the restaurant at preset time intervals. The received information on the reservation status of the restaurant is stored in the database.

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

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

When the reservation for the restaurant is confirmed, the restaurant reservation unit 107 may transmit article information on 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 restaurant reservation unit 107 performs a reservation for the pickup terminal 400 .

FIG. 26 is a diagram exemplarily illustrating a hardware configuration of the apparatus according to FIG. 1 .

Referring to FIG. 26 , the device 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) may be included.

The at least one operation may include the components 101 to 107 of the above-described apparatus 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 on which methods according to embodiments of the present invention are performed. can Each of the memory 120 and the storage device 160 may be configured as 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 is a flash-memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, micro SD card).

Also, the device 100 may include a transceiver 130 that performs communication through a wireless network. Also, 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 can communicate with a desktop computer (desktop computer), a laptop computer (laptop computer), a notebook (notebook), a smart phone (smart phone), a tablet PC (tablet PC), a mobile phone (mobile phone) , smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, 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), or the like.

The first artificial neural network and the second artificial neural network may be composed of 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 an embodiment, the first artificial neural network and the second artificial neural network receive an input value and each of the output values of the input layer 10 and the input layer 10 having nodes corresponding to the number of components of the first feature vector one or more hidden layers outputting by multiplying the connection strength (or weight) and adding a bias; and an output layer for multiplying each output value of the hidden layer by a connection strength (or weight) and outputting 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 may be 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 in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer readable medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of 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 such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as at least one software module to perform the operations of the present invention, and vice versa.

In addition, the above-described method or apparatus may be implemented by combining all or part of its configuration or function, 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 can variously modify and change the present invention within the scope without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that it can be done.

Claims (5)

A device for providing a travel product sales service, comprising:
at least one processor; and
a memory for storing instructions instructing the at least one processor to perform at least one step;
The at least one step is
Receiving priority information including a priority for each of the visited places and accommodations from the user terminal;
When the ranking for the visited place is higher than the ranking for the accommodation, first user information including travel area, travel date, user's tourist destination preference, age, gender, number of people, relationship between people, user's food preference, and physical strength in advance input to the learned first artificial neural network as an input value, obtain a plurality of first recommended visit places from the first artificial neural network, transmit the first recommended visit places to the user terminal, and the user from the user terminal receiving first preferred visited places that are the selected first recommended visited places;
selecting from a database an age weight, a gender weight, and a physical fitness weight matched with the age, the gender and physical fitness, and determining a product of the age weight, the gender weight, and the physical fitness weight as an activity weight;
determining an activity time corresponding to the travel date using the arrival time of the first day arriving at the travel area, a preset schedule start time, a preset schedule end time, a return time from the travel area, and the activity weight;
In the database, a first reference required time matched with each of the airport and the first preferred visited places is selected, and a first required time weight matched for each visit time is selected for each of the airport and the first preferred visited places. and determining a first estimated required time corresponding to each of the airport and the first preferred visit places by using the first reference required time and the first required time weight;
A first reference travel time matching each of a plurality of first routes connecting between the airport and the first preferred visit places is selected from the database, and for each of the first routes, by transportation means and by travel time selecting a first movement time weight matched with , and determining a first expected movement time corresponding to each of the first routes by using the first reference movement time and the first movement time weight;
a plurality of first predicted recommended routes connecting at least two of the airport and at least two of the first preferred visited places are determined, and the first preferred visited places are corresponding to each of the first predicted recommended moving lines. A first required time corresponding to each of the first expected recommended movement lines is calculated using the first expected travel time and the first expected travel time corresponding to each of the first routes included in the first expected recommended movement line determining;
determining the first expected recommended movement lines in which the first necessary time is smaller than the active time as first recommended movement lines;
transmitting the first recommended movement lines to the user terminal, and receiving first preferred movement lines that are the first recommended movement lines selected by the user from the user terminal;
determining a starting place corresponding to each of the first preferred movement lines, and determining a plurality of first preliminary recommended lodgings in which the distance to the starting place is less than or equal to a preset reference distance and the number of available reservations is greater than or equal to the number of people;
selecting an accommodation preference matched with the first preliminary recommended accommodation, the age, the gender, and the relationship between the persons from the database;
determining the first pre-recommended lodgings, wherein the lodging preference is equal to or greater than a preset criterion, as first recommended lodgings;
transmitting the first recommended accommodations to the user terminal and receiving first preferred accommodations selected by the user from the user terminal;
generating a first user travel plan using the first preferred movement lines and the first preferred accommodations;
A second user including the travel region, the travel date, the accommodation budget, preferred accommodation information, the age, the gender, the number of people, and a relationship between the persons when the ranking for the accommodation is higher than the ranking for the visited place inputting information as input values to a pre-learned second artificial neural network, obtaining a plurality of second recommended accommodations from the second artificial neural network, transmitting the second recommended accommodations to the user terminal, and sending the second recommended accommodations to the user terminal receiving second preferred lodgings, which are the second recommended lodgings selected by a user;
setting areas located within a preset distance from each location of the second preferred accommodations as activity areas corresponding to each of the second preferred accommodations;
determining a plurality of second preliminary recommended visit places using the activity area, the arrival time, and the return time;
When the second pre-recommended visit places are tourist destinations, a first matching degree corresponding to each of the pre-recommended pre-recommended visit places using the relationship between the tourist preference, the age, the gender, and the person included in the first user information calculating , and determining second recommended visiting places among the second preliminary recommended visiting places using the first matching degree;
When the second preliminary recommended visiting places are restaurants, a second corresponding to each of the second preliminary recommended visiting places using the food preference, the age, the gender, and the relationship between the persons included in the first user information calculating a matching degree and determining second recommended visiting places among the second preliminary recommended visiting places using the second matching degree;
transmitting the second recommended visiting places to the user terminal and receiving second preferred visiting places selected by the user from the user terminal;
selects a second reference required time matched with each of the airport, the second preferred accommodations, and the second preferred visit places from the database, and selects the airport, the second preferred accommodations and the second preferred visit place selects a second required time weight matched for each visit time for each of the visits, and uses the second reference time required and the second required time weight to make a second corresponding to each of the airport and the second preferred visit places. determining an expected required time;
A second reference travel time matching each of a plurality of second routes connecting between the airport, the second preferred accommodations, and the second preferred visit places is selected from the database, and in each of the second routes selects a second travel time weight matched for each transportation means and each travel time, and calculates a second estimated travel time corresponding to each of the second routes using the second reference travel time and the second travel time weight determining;
a plurality of second predicted recommended routes connecting at least two of the airport, the second preferred accommodations, and the second preferred visit places are determined, and the second preferred visit included in the second expected recommended route 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 movement line, each of the second expected recommended movement lines and determining a corresponding second required time;
determining the second expected recommended movement lines in which the second necessary time is smaller than the active time as second recommended movement lines;
transmitting the second recommended movement lines to the user terminal and receiving second preferred movement lines selected by the user from the user terminal; and
Comprising the step of generating a second user travel plan by using the second preferred movement,
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