KR20240033197A - Method and apparatus for recommending seat - Google Patents

Abstract

The present invention relates to a seat recommendation method and device for recommending group seats for a plurality of people based on the representative's name record (NR) information.
The seat recommendation method and device according to an embodiment of the present invention can determine the group passenger type based on the representative's NR information and recommend a group seat appropriate for the passenger type.
According to one embodiment of the present invention, by deriving all currently recommendable group seats according to group type, calculating recommendation values for the derived group seats, and recommending group seats, convenience in customer seat selection can be promoted. there is.
According to one embodiment of the present invention, the position weight is evaluated differently for each group type, the recommendation value for the group sheet is calculated, and the group sheet is recommended, thereby recommending the most suitable group sheet for the corresponding group type.
According to one embodiment of the present invention, a group sheet suitable for the number of NR people can be recommended using a pattern weight in which different pattern values are mapped according to the shape and location of the group sheet pattern.

Description

Seat recommendation method and device {METHOD AND APPARATUS FOR RECOMMENDING SEAT}

The present invention relates to a seat recommendation method and device, and more specifically, to a seat recommendation method and device for recommending group seats for a plurality of people based on the representative's NR (name record) information.

Currently, many people can purchase tickets to the real world, such as airplanes with reserved seats, theaters, performance halls, sports stadiums, and trains, and to virtual worlds such as the Metaverse, through the Internet. In this case, seat assignment must be made simultaneously with or after ticket purchase. And the price of seat reservation may vary depending on the location.

For example, the seat classes of current airlines are broadly divided into four classes: First, Business/Prestige, Premium Economy, and Economy. Airlines operate an aircraft seat allocation system with a mixture of two or three classes or a single economy class (especially in the case of low-cost airlines) depending on the route and operating aircraft.

Recently, with the emergence of low-cost airline business models in the market, users have started to travel by air at low costs, but they have realized that it is difficult to express the inconvenience of flying for several hours, so now even if you pay for advance seat reservation, you can feel more comfortable. There is a demand for seats.

After an airline ticket is issued, people can purchase or designate their desired airplane seat via the Internet. The current seat reservation system simply distinguishes between unselected seats and selected seats and shows them to the user, and allows the user to purchase or designate the currently unselected seat. In the seat reservation system described above, if there is a passenger, the user must purchase or designate a seat, taking into account each passenger's seat, which is inconvenient. In particular, depending on the seat assignment situation, there are many cases where passengers cannot sit close to each other and there is a possibility that they will sit apart, so they have to endure inconvenience.

Therefore, research is needed on technology that automatically recommends preferred seats by considering the user's gender, age, number of passengers, etc.

Domestic Public Patent No. 10-2003-0039950 (May 22, 2003), seat reservation system for performances, dining, lodging, transportation and other sectors

The purpose of the present invention is to provide a seat recommendation method and device for recommending group seats for a plurality of people based on representative NR information.

The purpose of the present invention is to provide a seat recommendation method and device that can determine a group type based on NR information and recommend a group seat suitable for the group type.

The purpose of the present invention is to provide a seat recommendation method and device that derives all currently recommendable group seats according to group type, calculates recommendation values for the derived group seats, and recommends group seats.

The purpose of the present invention is to calculate the recommendation value of a group seat by applying the position weight of seats whose values are mapped differently for each group type to the corresponding group type, and to recommend a group seat suitable for the group type based on the calculated results. The purpose is to provide a seat recommendation method and device.

The purpose of the present invention is to provide a seat recommendation method and device that recommends a group seat suitable for the number of NR people using pattern weights in which different pattern values are mapped according to the shape and location of the group seat pattern.

The purpose of the present invention is to provide a seat recommendation method and device that can recommend group seats by first deriving a unit block and then deriving other unit blocks based on the correlation with the derived unit block.

The purpose of the present invention is to provide a seat recommendation method and device that can recommend a group pattern determined for each number of people according to the derived NR number of people.

In order to achieve the above object, according to an embodiment of the present invention, a seat recommendation method of a seat recommendation device connected to a computer network includes the steps of deriving the number of NR people based on NR (Name record) information of a representative; Confirming the currently available seating area in the overall seat map; A unit block derivation step of deriving a first unit block based on a position value in the available seating area and deriving a second unit block using the derived adjacency value and position value with the first unit block; A group block forming step of forming the derived first unit block and the second unit block into one first group block; and recommending group seats to the representative so that the formed first group block is included.

In order to achieve the above object, according to an embodiment of the present invention, a seat recommendation method of a seat recommendation device connected to a computer network includes the steps of maintaining a pattern database in which at least one group seat pattern is mapped for each number of people; Deriving the number of NR people based on the representative's NR (Name record) information; and recommending to the representative a predetermined number of group seats that can form a group seat pattern matching the number of people in the derived NR.

The seat recommendation method and device according to an embodiment of the present invention can determine the group passenger type based on the representative's NR information and recommend a group seat appropriate for the passenger type.

According to one embodiment of the present invention, by deriving all currently recommendable group seats according to group type, calculating recommendation values for the derived group seats, and recommending group seats, convenience in customer seat selection can be promoted. there is.

According to one embodiment of the present invention, the position weight is evaluated differently for each group type, the recommendation value for the group sheet is calculated, and the group sheet is recommended, thereby recommending the most suitable group sheet for the corresponding group type.

According to one embodiment of the present invention, a group sheet suitable for the number of NR people can be recommended using a pattern weight in which different pattern values are mapped according to the shape and location of the group sheet pattern.

According to one embodiment of the present invention, a group sheet can be recommended by first deriving a unit block and then deriving other unit blocks based on the correlation with the derived unit block.

1 is a block showing a seat recommendation system related to an embodiment of the present invention.
FIG. 2 is a block diagram of the seat recommendation device shown in FIG. 1.
Figure 3 is a flowchart showing a seat recommendation method related to an embodiment of the present invention.
Figure 4 is a diagram for explaining seat position weights related to an embodiment of the present invention.
Figure 5 shows an example of PNR information related to an embodiment of the present invention.
Figure 6 is a diagram illustrating a method for determining a recommendation ranking by calculating a recommendation value related to an embodiment of the present invention.
Figures 7 and 8 are diagrams for explaining pattern weights applied to calculation of recommendation values for group sheets related to an embodiment of the present invention.
Figure 9 is a diagram for explaining an example in which pattern weights related to an embodiment of the present invention are applied.
Figure 10 is a graph showing the price for a seat related to an embodiment of the present invention.
Figure 11 is a graph showing location preference compared to seats related to one embodiment of the present invention.
Figure 12 is a diagram showing an example of a group sheet recommendation screen related to an embodiment of the present invention.
FIG. 13 shows a sheet map in which the area selected in FIG. 12 is enlarged.
FIG. 14 is a diagram illustrating a group seat selection process by a representative reservation holder in seats at a performance hall, such as a play, related to an embodiment of the present invention.
FIG. 15 is a diagram illustrating a group seat selection process of a representative reservation holder in a sports stadium seat related to an embodiment of the present invention.
Figure 16 is a diagram for explaining a method of deriving group seats related to an embodiment of the present invention.

Hereinafter, a seat recommendation method and device related to an embodiment of the present invention will be described with reference to the drawings.

As used herein, singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as “consists of” or “comprises” should not be construed as necessarily including all of the various components or steps described in the specification, and some of the components or steps may be included in the specification. It may not be included, or it should be interpreted as including additional components or steps.

The seat recommendation method and device related to an embodiment of the present invention can be applied to seat recommendation in performance halls such as theaters, airplanes, sports halls, trains, etc. where seat designation is required.

In addition, the seat recommendation method and device related to an embodiment of the present invention can be applied not only to seat recommendation in the real world, but also to seat recommendation in a virtual world such as a metaverse where each seat has a different location and seat designation must be performed.

In this specification, a representative is a representative of a group and may include a representative reservation holder of tickets to a performance hall such as a theater, an airplane, a sports stadium, a train, etc., and a representative participant in a virtual world.

In this specification, the representative's NR (Name record) information may include the representative and companion information in the case of ticket reservation or participation in a specific game. For example, NR (Name record) information may include an airline ticket PNR (Passenger name record).

In this specification, a companion refers to a member who forms a group with the representative when recommending a group seat, and may include fellow passengers, accompanying visitors, accompanying participants, etc.

In this specification, group type may mean a group type determined based on NR (Name record) information. The group type may include group passenger type, group participant type, group visitor type, etc.

Hereinafter, in the embodiment, airplane seat recommendation is explained as an example of seat recommendation of the present invention, but the present invention is not limited thereto.

1 is a block showing a seat recommendation system related to an embodiment of the present invention.

As shown, the airplane seat recommendation system may include a user terminal 100, a seat recommendation device 200, a travel agency server 300, and an airline server 350. Here, the user can include a representative reservation holder in the Passenger name record (PNR).

Below, an example in which the seat recommendation device 200 recommends seats by connecting to the travel agency server 300 or the airline server 350 will be described. However, if the seat recommendation device 200 is the entity that supplies seats, the travel agency server Seats can be recommended even when there is no connection to (300) or the airline server (350).

The user terminal 100, seat recommendation center 200, travel agency server 300, and airline server 350 may be connected to a computer network.

The user may access the airplane seat pre-purchase or designation page directly through the user terminal 100, or may access the airplane seat purchase or designation page through the travel agency server 300 or the airline server 350.

Additionally, when an airline ticket is purchased through a travel agency or airline, the seat recommendation device 200 may receive airline ticket reservation information from the travel agency server 300 or the airline server 350. An example of airline ticket reservation information is the Passenger name record (PNR). Passenger name record (PNR) information is information about airline ticket reservations and may include the name, age, gender, passport information, departure information, and return information of each passenger, including the representative and fellow passengers.

Below, PNR (Passenger name record) will be explained as an example of airline ticket reservation information.

The seat recommendation device 200 may determine a group passenger type based on PNR information and derive all currently available group seats corresponding to the determined passenger type. In addition, the seat recommendation device 200 may determine a ranking by calculating a recommendation value for each group seat that can be derived. And, depending on the ranking results, a certain number of group seats can be recommended to the representative reservation holder.

FIG. 2 is a block diagram of the seat recommendation device shown in FIG. 1.

As shown, the seat recommendation device 200 includes a reception unit 210, a passenger type determination unit 215, a weight database (DB) 220, a recommendable seat derivation unit 225, and a recommendation value calculation unit 230. , a price database (DB) 235, a group seat recommendation unit 240, a display unit 245, a seat designation unit 250, a gap analysis unit 255, and a control unit 260.

The receiving unit 210 may receive the PNR of the user (eg, representative reservation holder) from the travel agency server 300 or the airline server 350. Through the PNR, the passenger's name, co-passenger's name, passenger's passport information, departure information, return information, etc. can be confirmed. Additionally, the receiving unit 210 can receive purchase statistics for each seat.

Meanwhile, the PNR information may be received, but the seat recommendation device 200 may also generate it on its own.

The receiving unit 210 may receive group sheet information selected by the representative reservationist.

The passenger type determination unit 215 may determine the group passenger type based on the PNR information. The passenger type determination unit 215 is an example of a group type determination unit that determines the group type. For example, the passenger type determination unit 215 may store group type information in which a plurality of group types are classified based on at least one of the number of people, gender, and age included in the PNR information. The passenger type determination unit 215 may determine the group type by matching the stored group type information with the representative's PNR information. Hereinafter, the group type may include the group passenger type.

The weight database (DB) 220 may store position weights of seats whose values are mapped differently for each group type. Additionally, the weight database (DB) 220 may further store pattern weights. The pattern weight is mapped to different values depending on the shape and location of the group sheet corresponding to the number of PNR people. A detailed explanation of this will be provided later.

The recommendable seat derivation unit 225 can derive all currently recommendable group seats using the seat information including the shape of the group seat corresponding to the number of PNR people, the seat shape of all seats, and the current seat occupancy status. .

The recommendation value calculation unit 235 may calculate a recommendation value for each of all the derived group sheets. The recommendation value can be calculated using various variables. In particular, when calculating the recommendation value, the seat price factor may be used along with the various variables above.

The price database (DB) 235 may store seat price information. The seat price is the purchase price of the seat when a specific seat is designated for a fee in advance, and the seat price factor is a numerical value excluding the monetary unit from the seat price. For the same seat, it is related to the group type. The same value applies to the same seat. Seat prices can also be broken down by seating area or by seat in a specific location.

The group sheet recommendation unit 240 may recommend a predetermined number of group sheets to the representative reservation holder based on the calculated recommendation value.

When recommending the group seat, the display unit 245 may display a full seat map indicating the location of the recommended group seat. In this case, the display unit 245 can also display price information on the group sheet.

The seat designation unit 250 may designate a group seat for the corresponding PNR based on the group seat selected by the representative reservationist.

The gap analysis unit 255 may compare the group sheet information selected by the representative reservationist with the recommended group sheet information, and adjust at least one of various variable values used when calculating the recommendation value based on the comparison result.

The control unit 260 includes a reception unit 210, a passenger type determination unit 215, a weight database (DB) 220, a recommendable seat derivation unit 225, a recommendation value calculation unit 230, and a price database (DB). (235), the group seat recommendation unit 240, the display unit 245, the seat assignment unit 250, and the gap analysis unit 255 can be generally controlled.

Figure 3 is a flowchart showing a seat recommendation method related to an embodiment of the present invention.

The receiving unit 210 may receive PNR information of the representative reservationist from the travel agency server 300 or the airline server 350 (S310).

The passenger type determination unit 215 may determine the group passenger type based on the PNR information (S320). The group passenger type described below is not simply a single individual passenger type, but is a description of a group passenger including a plurality of people. The group passenger type may be classified by at least one criterion among the passenger's gender, age, and number of passengers.

In addition, the passenger type determination unit 215 may store passenger type information or a list classified by various criteria and determine a group passenger type matching the corresponding PNR.

Meanwhile, various variable values and weight values used when calculating the recommended value may be applied differently for each passenger type.

The weight database (DB) 220 may store position weights of seats whose values are mapped differently for each group type (including group passenger type).

The control unit 260 may maintain a weight database (DB) 220 in which position weights of seats with different values mapped for each group type are stored (S330).

Figure 4 is a diagram for explaining seat position weights related to an embodiment of the present invention.

As shown, group passenger types can be divided into a plurality of group passenger types based on criteria such as number of people, gender, age, and composition. For example, group passenger types can be divided into 1-person type and 9-person type based on the number of people. Additionally, passengers may be divided into multiple group types based on gender, age, number of passengers, etc.

The position weight used when calculating the recommended value is mapped differently for each group passenger type, even if it is the same seat. For example, if the average weight is 0, the position weight for the front seat (price: \11,000) is 0.07 for a type of 3, but - 0.50 for a type of 9. This is because the front seat is preferred over the average for 3-person type passengers, but not preferred for 9-person type passengers. In Figure 5, when a weight value is displayed in parentheses, it means a negative value.

The position weight may be stored in the form of a list in which different values are mapped for each group passenger type. The position weight can be calculated using statistical values of the results of group passengers using paid seat assignment services. And the position weight list can be updated in real time or periodically.

Figure 5 shows an example of PNR information related to an embodiment of the present invention.

The representative reservation holder can reserve a ticket that includes a passenger. When the flight ticket reservation is completed, the PNR 610 of the representative reservationist may be created. Additionally, the passenger type determination unit 215 may determine the passenger type as Care Type based on age because there is a child in the corresponding PNR, or may determine the passenger type as 3-person type based on the number of passengers.

The recommendable sheet derivation unit 225 can derive all currently recommendable group sheets using the group sheet shape and sheet information corresponding to the number of PNR people (S340). The shape of the group sheet may vary depending on the number of people, such as square shape, L shape, or I shape. Additionally, the seat information may include seat map information for all seats on the airplane and information on currently occupied seats.

The recommendation value calculation unit 230 may calculate a recommendation value for each of all the derived group sheets.

Figure 6 is a diagram illustrating a method for determining a recommendation ranking by calculating a recommendation value related to an embodiment of the present invention.

In an embodiment, the recommendation value may be calculated using Equation 1 below. Equation 1 below is an example of using variables when calculating a recommendation value, but the present invention is not limited to this.

Here, V is the recommendation value, and B is a variable that represents the value according to the degree of proximity to fellow passengers. For example, 1 for the next seat in the same row, 0.2 for the seat between the aisles in the same row, 0.1 for the diagonal seat in the front and back rows, and 0.1 for the front and back rows can be applied to Equation 1 above. I is a variable that represents the value according to the degree of obstruction of other passengers. Values such as 0.2 when the seat next to one compartment is occupied by another person, and 0.1 when the seat next to one compartment is occupied by another person can be applied to Equation 1 above. And D is a variable that represents the value according to the distance to the exit in the vertical direction of the seat, WMA is a variable that represents the value depending on whether the horizontal position of the seat is a window, aisle, or center seat, and LR is a variable that represents the horizontal position of the seat. It is a variable that represents the value according to whether it belongs to the right or left block, S is a variable that represents the value according to the area per seat, and P is a variable that represents the value according to the price per seat.

The initial values of the variables may be determined based on actual seat reservation purchase data.

Meanwhile, when calculating the recommendation value, the above-described position weight may be applied (S350). The position weight may be applied to the value calculated in Equation 1, or may be applied to a value calculated by a recommendation value calculation formula other than Equation 1. For example, it can be applied in a way that a weight value is added to the value calculated by Equation 1 or another recommendation value calculation equation.

Additionally, when calculating the recommendation value, pattern weights may be applied.

7 to 7 are diagrams for explaining pattern weights applied to calculation of recommendation values for group sheets related to an embodiment of the present invention.

Figure 8 shows the group sheet pattern weight of the 2-person type, and Figure 9 shows the pattern weight of the 3-person type. In the illustrated example, only the 2-person type and the 3-person type are shown, but pattern weights can be applied to 4 or more types.

First, at least one group sheet pattern may be mapped for each corresponding number of people. For example, the group sheet shape mapped to two people may include an I-shaped type, same-row discrete type, front-to-back type, and cross type. And even if the shape of the group sheet pattern is the same, the group sheet pattern can be distinguished depending on the position of the group sheet pattern. And even if it is the same I-type group sheet pattern shape, the pattern value is different depending on whether it is A-B or C-D.

Additionally, the group sheet shape mapped to 3 people may include an I-shaped type, L-shaped type (2/1), and L-shaped type (1/2). And even if the shape of the group sheet pattern is the same, the group sheet pattern can be distinguished depending on the position of the group sheet pattern.

The weight database (DB) 220 may store pattern weight information including a group sheet pattern and the group sheet pattern value.

Figure 9 is a diagram for explaining an example in which pattern weights related to an embodiment of the present invention are applied.

If the number of group passengers is 4, the group seat shape is I-type, and the seat positions are arranged in A, B, C, and D, a pattern value of 0.75 can be applied. And a pattern weight of 0.75 can be applied to the recommended value calculated through a specific formula. The pattern weight can be calculated using statistical values of the results of a specific number of passengers using a paid seat assignment service. And the pattern weight value can be updated in real time or periodically.

Meanwhile, according to one embodiment of the present invention, when calculating the recommendation value, the price factor of the seat can be used instead of simply considering the use value of the seat. By using the price factor of the seat in the recommendation value, more suitable seats can be recommended to group customers, and at the same time, the technology of the present invention can promote economic revitalization.

Figure 10 is a graph showing the price for a seat related to an embodiment of the present invention.

As shown, seat prices are set differently depending on the seat location. This is due to the convenience of the seats considering their usability. In other words, the more valuable the seat is, the higher the price per seat is.

Figure 11 is a graph showing location preference compared to seats related to one embodiment of the present invention.

The graph shown shows preference according to location compared to price per seat. If the price per seat is not considered, a high recommendation value is simply assigned to seats with high usage value, but if the price is taken into consideration, a more reasonable recommendation value calculation can be made.

The group sheet recommendation unit 240 may recommend a predetermined number of group sheets to the representative reservation holder based on the calculated recommendation value (S360).

In this case, the display unit 245 may display the location of the recommended group sheet and the price information of the group sheet.

Figure 12 is a diagram showing an example of a group sheet recommendation screen related to an embodiment of the present invention.

Reference numeral 1300 indicates an example in which the entire airplane seat map is displayed on one screen.

As shown, the premise seat map is divided into a plurality of zones (1311, 1312,..., 131N) based on seat location and price. And in each zone, the current recommended seats (1321, 1322,...,132N) are clearly displayed. As shown in Figure 13, by displaying the entire seat map on one screen, the user can see at a glance what the current seat status is and where the optimal seat is without moving the screen.

A user (eg, a representative) can select an area of interest with the entire sheet map displayed, as shown in FIG. 13.

When a specific area is selected by the user, the display unit 245 can enlarge and display the selected specific area. In this case, the display unit 245 can control the screen so that only the selected specific area is included in one screen.

FIG. 13 shows a sheet map in which the area selected in FIG. 12 is enlarged.

As shown, only the area selected by the user in the entire airplane seat map is displayed on one screen 1400. Through the displayed screen 1400, the user can check at a glance the location of the recommended seat 1410 in the area selected by the user, price information about the recommended seat, seat assignment status, etc.

If the representative reservationist likes the recommended group seat, he or she can select the recommended group seat. Additionally, if you do not like the recommended group sheet, you can select a different group sheet without selecting the recommended group sheet.

The receiving unit 210 may receive group sheet information selected by the representative reservationist (S370).

The gap analysis unit 255 compares the group sheet information selected by the representative reservationist with the recommended group sheet information (S380), and based on the comparison result, at least one value among various variables used to calculate the recommendation value can be adjusted (S390).

FIG. 15 is a diagram illustrating a group seat selection process by a representative reservation holder in seats at a performance hall, such as a play, related to an embodiment of the present invention.

In Figure 14, the same recommendation value calculation formula as in Figure 6 can be applied similarly. However, the distance (D) here may mean the distance to the stage.

FIG. 15 is a diagram illustrating a group seat selection process of a representative reservation holder in a sports stadium seat related to an embodiment of the present invention.

In Figure 15, the same recommendation value calculation formula as in Figure 6 can be applied similarly.

Meanwhile, according to one embodiment of the present invention, when the number of NR people is large (e.g., group flight ticket or package flight ticket, etc.), a group sheet can be recommended by deriving a suitable unit block.

In this specification, a unit block is a group of seats adjacent to each other and formed continuously. Therefore, if the seats are spaced apart through an aisle, etc., one unit block cannot be formed.

Additionally, in this specification, a group block is a seat group composed of a plurality of unit blocks.

Figure 16 is a diagram for explaining a method of deriving group seats related to an embodiment of the present invention.

The drawing shows an example of deriving recommended group seats in cases where there are a large number of people, such as group airline tickets. For example, if the number of people is 20, the first unit block consisting of 3 seats can first be derived based on various variable values including position values. And the second unit block can be derived based on the proximity and position value to the first unit block. Additionally, the first unit block and the second unit block can be integrated into one to form a first group block. And the third unit block can be derived based on the proximity and position value with the formed first group block. And the unit block derivation process and group block formation process can be repeated until the number of seats included in the total derived unit block reaches the corresponding number of people.

Meanwhile, according to another embodiment of the present invention, group sheet patterns can be distinguished only by shape. In addition, the corresponding group sheet pattern shape matches at least one group sheet pattern shape for each number of people, and the group sheet pattern shape may be prioritized.

Accordingly, a group seat shape corresponding to the derived number of NR people can be derived, and a predetermined number of group seats that can be formed with the derived group sheet shape can be derived and recommended. The predetermined number of group seats may be recommended starting from the seat closest to the exit based on the position value, may be recommended randomly, or may be recommended by section with the same seat price.

The seat recommendation method and device according to an embodiment of the present invention can determine the group passenger type based on the representative's NR information and recommend a group seat appropriate for the passenger type.

According to one embodiment of the present invention, by deriving all currently recommendable group seats according to group type, calculating recommendation values for the derived group seats, and recommending group seats, convenience in customer seat selection can be promoted. there is.

According to one embodiment of the present invention, the position weight is evaluated differently for each group type, the recommendation value for the group sheet is calculated, and the group sheet is recommended, thereby recommending the most suitable group sheet for the corresponding group type.

According to one embodiment of the present invention, a group sheet suitable for the number of NR people can be recommended using a pattern weight in which different pattern values are mapped according to the shape and location of the group sheet pattern.

According to one embodiment of the present invention, a group sheet can be recommended by first deriving a unit block and then deriving other unit blocks based on the correlation with the derived unit block.

The seat recommendation method and device described above are not limited to the configuration and method of the above-described embodiments, but all or part of each embodiment can be selectively combined so that various modifications can be made. It may be configured.

100: user terminal
200: Seat recommendation device
210: receiving unit
215: Passenger type determination unit
220: Weight DB
225: Recommended sheet derivation unit
230: Recommended value calculation unit
235: Price DB
240: Group sheet recommendation section
245: display unit
250: Seat assignment section
255: Gap analysis unit
260: control unit
300: Travel agency server
350: Airline server

Claims (3)

In the seat recommendation method of a seat recommendation device connected to a computer network,
Deriving the number of NR people based on the representative's NR (Name record) information;
Confirming the currently available seating area in the overall seat map;
A unit block derivation step of deriving a first unit block based on a position value in the available seating area and deriving a second unit block using the derived adjacency value and position value with the first unit block; and
A group block forming step of forming the derived first unit block and the second unit block into one first group block; and
A seat recommendation method comprising recommending group seats to the representative so that the formed first group block is included. According to paragraph 1,
The unit block deriving step includes deriving a third unit block based on proximity to the first group block and position value,
The group block forming step includes forming a second group block by integrating the first group block and the third unit block. The method of claim 2, wherein the unit block deriving step and the group block forming step are
A seat recommendation method characterized in that it is repeatedly performed based on the derived number of NR people.