WO2024071493A1 - Method and device for processing reservation for accommodation product - Google Patents

Abstract

A method and a device for processing a reservation for an accommodation product are provided. A method according to an embodiment of the present disclosure may comprise the steps of: acquiring multiple pieces of reservation information of multiple accommodation products, respectively, and at least one cancellation request corresponding to at least some of the multiple pieces of reservation information; extracting, on the basis of the multiple pieces of reservation information and the at least one cancellation request, users' reservation patterns on a reservation platform on which the multiple reservation products are published; classifying, on the basis of the reservation patterns, the at least one cancellation request as one of a first request for performing first processing and a second request for performing second processing distinguished from the first processing; and performing the second processing for the second request. Each of the multiple pieces of reservation information may include at least some of booker information of an accommodation product, accommodation name information, date information, room type information, and reservation price information. The first processing may be normal processing for a cancellation request, and the second processing may be exceptional processing for the cancellation request.

Description

Method and device for processing reservations for accommodation products

This disclosure relates to technology for processing reservations for lodging products.

Accommodation products (e.g., hotel vouchers, pension vouchers, etc.) are generally purchased along with a travel itinerary, so they have the characteristic of being purchased before the date of use of the accommodation product. Because of this, if the reservation is canceled by the user close to the date of use of the accommodation product, the supplier has the disadvantage of not being able to sell the accommodation product in advance to other users. As a way to compensate for the disadvantages borne by the supplier, the supplier was charging users a cancellation fee (e.g. penalty, etc.) for canceling the reservation.

The technical problem to be solved through an embodiment of the present disclosure is to provide technology that can improve user convenience.

Another technical problem to be solved through an embodiment of the present disclosure is to provide technology that can promote users' reservations for lodging products.

Another technical problem to be solved through an embodiment of the present disclosure is to provide technology that can increase a supplier's sales.

Another technical problem to be solved through an embodiment of the present disclosure is to provide a technology that can protect the operator of the reservation platform while reducing the cancellation fee borne by the user.

Another technical problem to be solved through an embodiment of the present disclosure is to provide technology that can handle exceptions to user requests occurring within a reservation platform.

The technical problems of the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by those skilled in the art from the description below.

A method according to an embodiment of the present disclosure includes a method of processing a reservation for an accommodation product performed by an electronic device, a plurality of reservation information for each of a plurality of accommodation products and at least some of the plurality of reservation information. Obtaining one or more corresponding cancellation requests, extracting reservation patterns of users for a reservation platform on which the plurality of accommodation products are posted, based on the plurality of reservation information and the one or more cancellation requests, the reservation pattern Based on, classifying the one or more cancellation requests into one of a first request performing first processing and a second request performing second processing distinct from the first processing, and with respect to the second request , may include performing the second processing.

In one embodiment, each of the plurality of reservation information may include at least some of the reservationist information of the accommodation product, name information of the accommodation, date information, room type information, and reservation fee information.

In one embodiment, the first processing may be normal processing for a cancellation request, and the second processing may be an exception processing for a cancellation request.

In one embodiment, the step of extracting the reservation pattern includes extracting a first reservation pattern that has been canceled based on the one or more cancellation requests, extracting a second reservation pattern that has not been canceled, and the first reservation pattern. It may include the step of distinguishing the reservation pattern and the second reservation pattern and storing them in a database.

In one embodiment, each of the plurality of reservation information is generated based on a reservation request accompanying the user's reservation conditions, and obtaining a plurality of reservation requests corresponding to each of the plurality of reservation information, the plurality of reservations classifying a request into one of a third request performing third processing and a fourth request performing fourth processing distinct from the third processing, and for the fourth request, performing the fourth processing. Additional steps may be included.

In one embodiment, the reservation conditions may include date information of the accommodation product, name information of the accommodation, room type information, and reservation fee information.

In one embodiment, the third processing may be normal processing for a reservation request, and the fourth processing may be exception processing for a reservation request.

In one embodiment, the step of classifying the plurality of reservation requests into one of the third request and the fourth request includes the user account transmitting the target reservation request according to the date information of the reservation condition accompanying the target reservation request. If more than the standard number of reservation requests are transmitted, the step of classifying the target reservation request as the fourth request may be included.

In one embodiment, the step of classifying the plurality of reservation requests into one of the third request and the fourth request includes the user account transmitting the first reservation request receiving the date of the reservation condition accompanying the first reservation request. When transmitting a reservation request of a standard number or more to the information, comparing location information corresponding to each of the first reservation request and a second reservation request included in the reservation request of the standard number or more, and a distance based on the comparison of the location information If it is greater than or equal to the reference distance, it may include classifying the first reservation request as the fourth request.

In one embodiment, performing the fourth processing may include transmitting a notification informing of the fourth processing corresponding to the fourth request to the user terminal corresponding to the user account.

In one embodiment, the performance cycle of classifying the one or more cancellation requests into one of the first request and the second request may include classifying the plurality of reservation requests into one of the third request and the fourth request. It may be shorter than the execution cycle of the step.

In one embodiment, the step of classifying the one or more cancellation requests into one of the first request and the second request includes calculating a reservation cancellation rate of the user account that sent the cancellation request, and the reservation cancellation rate as a standard. If the cancellation rate is greater than or equal to the cancellation rate, classifying the cancellation request of the user account as the second request may be included.

In one embodiment, the standard cancellation rate is determined to be higher as the number of valid reservations for the user account increases, and the number of valid reservations may be the number of reservations for accommodation products that have not been canceled for the user account.

In one embodiment, the step of classifying the one or more cancellation requests into one of the first request and the second request includes calculating a reservation cancellation rate of an accommodation facility corresponding to an accommodation product, and the reservation cancellation rate is based on If the cancellation rate is higher than or equal to the cancellation rate, it may include classifying the cancellation request for the accommodation product as the second request.

In one embodiment, the step of classifying the one or more cancellation requests into one of the first request and the second request includes calculating a total penalty amount due to cancellation of a reservation of an accommodation facility corresponding to an accommodation product, and the penalty amount. If the total amount is more than the standard amount, the step of classifying the cancellation request for the accommodation product as the second request may be included.

In one embodiment, the standard cancellation rate or the standard amount is determined to be higher as the number of valid reservations for the accommodation increases, and the number of valid reservations may be the number of reservations for accommodation products that have not been canceled for the accommodation. .

In one embodiment, classifying the one or more cancellation requests into one of the first request and the second request includes identifying a time of change in attribute information for an accommodation product and within a base period from the change time, When a reservation request for the accommodation product and a cancellation request corresponding to the reservation request are transmitted, the method may include classifying the cancellation request as the second request.

In one embodiment, the attribute information may include reservation fee information for the accommodation product.

In one embodiment, the reference period may be determined based on a time interval between the change point and date information corresponding to the accommodation product.

In one embodiment, performing the second processing may include deactivating processing of reservation cancellation for an accommodation product according to a cancellation request determined by the second request.

In one embodiment, the step of performing the second processing may include performing processing of reservation cancellation for an accommodation product by reducing the refund amount according to the cancellation request determined by the second request by a standard percentage. there is.

In one embodiment, performing the second processing may include deleting the accommodation product corresponding to the second request from the reservation platform.

An electronic device according to another embodiment of the present disclosure includes a processor, a network interface, a memory, and a computer program loaded into the memory and executed by the processor, wherein the computer program includes a plurality of lodging products. Instructions for obtaining a plurality of reservation information for each and one or more cancellation requests corresponding to at least a portion of the plurality of reservation information, based on the plurality of reservation information and the one or more cancellation requests, the plurality of accommodations Instructions for extracting reservation patterns of users for a reservation platform on which products are posted, a first request for performing first processing on the one or more cancellation requests based on the reservation patterns, and a second request distinct from the first processing It may include an instruction for classifying one of the second requests performing processing and an instruction for performing the second processing on the second request.

In another embodiment, each of the plurality of reservation information may include at least some of the reservationist information of the accommodation product, name information of the accommodation, date information, room type information, and reservation fee information.

In another embodiment, the first processing may be normal processing for a cancellation request, and the second processing may be exception processing for a cancellation request.

In another embodiment, each of the plurality of reservation information is generated based on a reservation request accompanying the user's reservation conditions, and the computer program obtains a plurality of reservation requests corresponding to each of the plurality of reservation information. An instruction for classifying the plurality of reservation requests into one of a third request performing third processing and a fourth request performing fourth processing distinct from the third processing, and the fourth request, It may further include instructions for performing fourth processing.

In another embodiment, the reservation conditions may include date information of the accommodation product, name information of the accommodation, room type information, and reservation fee information.

In another embodiment, the third processing may be normal processing for a reservation request, and the fourth processing may be exception processing for a reservation request.

According to the present disclosure, user convenience can be improved.

According to the present disclosure, it is possible to promote users' reservations regarding accommodation products.

According to the present disclosure, it is possible to increase the supplier's sales.

According to the present disclosure, it is possible to protect the operator of the reservation platform while reducing the cancellation fee borne by the user.

According to the present disclosure, user requests occurring within the reservation platform can be processed as exceptions.

The effects according to the technical idea of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned may be clearly understood by those skilled in the art from the description in the specification.

Figure 1 shows an environment in which devices according to an embodiment of the present disclosure can be applied.

Figure 2 shows a home screen of a reservation platform that may be referenced in one embodiment of the present disclosure.

Figure 3 shows a detailed screen of an accommodation product that may be referenced in an embodiment of the present disclosure.

4 illustrates a computing device that can implement a device according to an embodiment of the present disclosure.

Figure 5 is a flowchart showing a method of processing a cancellation request according to an embodiment of the present disclosure.

Figure 6 is a flowchart showing a method of processing a reservation request according to an embodiment of the present disclosure.

The various embodiments described in the present disclosure are illustrative for the purpose of clearly explaining the technical idea of the present disclosure, and are not intended to limit them to specific embodiments. The technical idea of the present disclosure includes various modifications, equivalents, and alternatives of each embodiment described in the present disclosure, and embodiments selectively combined from all or part of each embodiment. In addition, the scope of rights of the technical idea of the present disclosure is not limited to the various embodiments or specific descriptions thereof presented below.

Terms used in this disclosure, including technical or scientific terms, unless otherwise defined, may have meanings commonly understood by those skilled in the art to which this disclosure pertains.

Expressions such as “comprises”, “may include”, “provided”, “may be provided”, “has”, “may have”, etc. used in the present disclosure refer to the target feature (e.g. For example, a function, operation or component, etc.) is present and does not exclude the presence of other additional features. In other words, such expressions should be understood as open-ended terms that imply the possibility of including other embodiments.

The singular expressions used in this disclosure may include plural meanings unless the context dictates otherwise, and this also applies to the singular expressions described in the claims.

Expressions such as "first", "second", or "first", "second", etc. used in the present disclosure distinguish one object from another when referring to a plurality of objects of the same type, unless otherwise indicated in the context. It is used to do so, and does not limit the order or importance between objects. For example, each user terminal included in the plurality of user terminals according to the present disclosure may be distinguished from each other by being expressed as “first user terminal” and “second user terminal”.

As used in this disclosure, expressions such as “A, B, and C,” “A, B, or C,” “at least one of A, B, and C,” or “at least one of A, B, or C” refer to each of the listed It can refer to an item or all possible combinations of listed items. For example, “at least one of A or B” may refer to both (1) at least one A, (2) at least one B, (3) at least one A and at least one B.

As used in this disclosure, the expression “based on” is used to describe one or more factors that influence the decision, act of judgment, or action described in the phrase or sentence containing this expression, and this expression does not exclude additional factors influencing the decision, act of judgment, or action.

As used in the present disclosure, the expression that a certain component (e.g., a first component) is “connected” or “connected” to another component (e.g., a second component) refers to any of the above. It may mean that a component is not only directly connected or connected to the other component, but is also connected or connected through another new component (for example, a third component).

The expression “configured to” used in the present disclosure means, depending on the context, “set to”, “having the ability to”, “changed to”, “made to”, “to do”. It can have meanings such as “possible.” This expression is not limited to the meaning of "specially designed in hardware," for example, a processor configured to perform a specific operation refers to a general purpose processor capable of performing that specific operation by executing software. It may mean, or it may mean a special purpose computer structured through programming to perform a specific operation.

The term "platform" used in this disclosure may refer to a tangible or intangible space that serves as the basis for users' use by integrating and managing services of the same or similar purpose, and although there are differences in detailed meaning, it is comprehensive. May be referred to interchangeably with “software,” “application,” or “solution.” In one embodiment, the reservation platform may be a tangible or intangible space that integrates reservation services for accommodation products. In some cases, the reservation platform may be abbreviated as platform.

Hereinafter, various embodiments described in the present disclosure will be described with reference to the attached drawings. In the accompanying drawings and descriptions of the drawings, identical or substantially equivalent components may be assigned the same reference numerals. Additionally, in the description of various embodiments below, duplicate descriptions of the same or corresponding components may be omitted, but this does not mean that the components are not included in the embodiments.

Hereinafter, various embodiments to be described will be described based on a platform related to a reservation service for accommodation products, but this is an example and the scope of the present disclosure is not limited to accommodation products. In other words, the technical idea of this disclosure can be applied to types of products for which reservations (or purchases) are made before the date of use of the product (e.g., performance products, exhibition products, sports viewing products, airline ticket products, train ticket products, etc.) You should keep in mind.

Figure 1 shows an environment in which devices according to an embodiment of the present disclosure can be applied. This environment may include a reservation processing device 110, a user terminal 120, an insurance company server device 130, or a provider terminal 140. Figure 1 shows an example in which one user terminal 120 and one provider terminal 140 are applied to an environment, but this is only for convenience of understanding, and the number of user terminals 120 and the provider terminal ( 140) The number can vary. In addition, Figure 1 only shows a preferred embodiment for achieving the purpose of the present disclosure, and some components may be added or deleted as needed.

Hereinafter, each component shown in FIG. 1 will be described in more detail.

The reservation processing device 110 may be a server device of a platform that provides reservation services for lodging products to users. An accommodation product may refer to a voucher for use of an accommodation facility (e.g., hotel, condo, resort, motel, pension, etc.). Here, the accommodation product may have the name of the accommodation, location of the accommodation, date of use, room type (e.g. double room, twin room, superior room, deluxe room, suite room, etc.) or reservation fee determined in advance. . Reservation service may refer to a service related to reservation of accommodation products. For example, the reservation service may include a service that makes a reservation for an accommodation product or a service that cancels a reservation for an accommodation product.

The reservation processing device 110 may receive or transmit information from the user terminal 120, the insurance company server device 130, or the provider terminal 140 through a network in order to implement platform operations related to the reservation service. For example, the reservation processing device 110 receives a reservation request for an accommodation product and reservation conditions accompanying the reservation request from the user terminal 120, and performs a series of operations to execute a reservation for the accommodation product. It can be run. For another example, the reservation processing device 110 receives a cancellation request for a reservation from the user terminal 120, and performs a series of operations to cancel the reservation (e.g., a full refund of the reservation fee to the user terminal 120). Sending a notification, sending an insurance claim request to the insurance company's server device 130, sending a notification of payment of compensation based on the insurance money paid from the insurance company to the provider terminal 140, etc.) may be executed. As another example, the reservation processing device 110 may receive various requests for accommodation products (e.g., reservation requests, cancellation requests, etc.) from the user terminal 120 and perform processing corresponding to the requests. there is. In addition, the reservation processing device 110 may receive or transmit information to other devices 120, 130, and 140 through a network in order to perform various operations related to the reservation service, and specific operations are described in the specification below. will be materialized through

The reservation processing device 110 may perform various processing operations on information received from the user terminal 120, the insurance company server device 130, or the provider terminal 140. For example, the reservation processing device 110 may process the information such as modifying, deleting, selecting, calculating, deciding, or extracting the information. For another example, the reservation processing device 110 may store the information or the processed information in internal storage (eg, a database) or external storage of the reservation processing device 110. In addition, the reservation processing device 110 can perform various known operations to process information obtained according to the user's use of the platform into a required format.

The reservation processing device 110 may be implemented with one or more computing devices. For example, all functions of reservation processing unit 110 may be implemented in a single computing device. For another example, a first function of the reservation processing device 110 may be implemented in a first computing device, and a second function that is distinct from the first function may be implemented in a second computing device that is distinct from the first computing device. . For example, a computing device may be, but is not limited to, a Desktop, Laptop, Application Server, Proxy Server, or Cloud Server, and has computing capabilities. This can include all types of equipped devices.

Each of the user terminal 120 and the provider terminal 140 may be a terminal of a person using a platform related to a reservation service for accommodation products. In this disclosure, for convenience of understanding, the user terminal 120 is referred to as a terminal of a demander of a reservation service, and the supplier terminal 140 is referred to as a supplier of an accommodation product (e.g., hotel owner, hotel manager, pension owner, pension manager). etc.) is referred to as a terminal. In one embodiment, in order for users of a platform related to a reservation service to use the platform, a web browser or application may be installed on each of the user terminal 120 and the provider terminal 140. You can. In some cases, different types of web browsers or applications (eg, consumer-specific versions or provider-specific versions) may be installed on each of the user terminal 120 and the provider terminal 140. This user terminal 120 or provider terminal 140 is, for example, a desktop, workstation, laptop, tablet computer, wearable device, or smartphone. It may be any one of devices such as a smart phone, but is not limited to these examples and may include all types of computing devices equipped with computing functions.

The insurance company server device 130 may be an insurance company server device related to reservation services for lodging products. In this disclosure, an insurance company may refer to a company that receives an insurance premium corresponding to a reservation made on a platform and pays an insurance payment corresponding to a cancellation fee (e.g., penalty) when the reservation is canceled. In other words, the operating entity of the platform pays the insurance premium corresponding to the reservation made on the platform, and when the reservation is canceled, the insurance company receives insurance money in return for the premium paid, and compensates for the supplier's disadvantage. At least a portion of the insurance money can be paid to the provider as compensation (“compensation” used in this disclosure can be changed in various ways, such as “settlement money” and “preservation money”). In this way, by paying compensation to the provider instead of a cancellation fee (e.g., penalty), the burden on the user who bears the cancellation fee can be reduced. In one embodiment, the insurance company server device 130 responds to various requests (e.g., reservation requests, cancellation requests, etc.) executed on the platform from the reservation processing device 110 and the requests for proper/appropriate payment of insurance money, etc. Accompanying information (e.g. reservation conditions, etc.) can be transmitted in real time. This insurance company server device 130 may be, for example, a desktop, laptop, application server, proxy server, or cloud server. It is not limited and may include all types of devices equipped with computing capabilities.

The reservation processing device 110, the user terminal 120, the insurance company server device 130, or the provider terminal 140 may communicate through a network. A network is any type of wired or wireless network, for example, a Local Area Network (LAN), a Wide Area Network (WAN), a Mobile Radio Communication Network, or a Wireless Broadband Internet (Wibro). It can be implemented as:

2 illustrates a home screen 200 of a platform that may be referenced in one embodiment of the present disclosure. The home screen 200 may include a search bar area 210, a category selection area 220, or a recommended accommodation product area 230.

2 in detail, the search bar area 210 may be an area where a user sets search conditions for searching lodging products. Search conditions are conditions for searching accommodation products and may include, for example, location, name of accommodation, date of use, number of users, room type, range of reservation fee, or category of accommodation as items. In order for the user to properly set the items included in the search conditions, the search bar area 210 of the home screen 200 can be implemented by applying an appropriate UI (User Interface, such as buttons, combo boxes, search boxes, etc.). there is. The user can search for the desired lodging product by setting search conditions through the UI applied to the search bar area 210.

The category selection area 220 includes one or more buttons (e.g., domestic travel pension/camping button, domestic travel hotel/resort button, overseas travel hotel button, etc.) for displaying a list of accommodation products classified according to category. It could be an area. A category is a kind of standard by which accommodation products can be classified, and may refer to common attributes of accommodation products classified according to that standard. When a button included in the category selection area 220 is selected by the user, accommodation products in the category corresponding to the selected button may be displayed as a list.

The recommended accommodation product area 230 may be an area that recommends and displays individual accommodation products. The recommended accommodation product area 230 may display images of one or more recommended accommodation products. Images to be included in the recommended lodging product area 230 may be determined (i.e., recommended lodging products) in various ways. For example, by searching the past reservation history of a user account connected to the platform (hereinafter, “user account” may be abbreviated as “account”), common attributes of accommodation products used by the user corresponding to the user account are identified. It is possible to extract and recommend accommodation products based on the extraction. As another example, the past reservation history of multiple user accounts using the platform may be analyzed (e.g. analysis of most booked products, analysis of highest rated products, etc.), and lodging products may be recommended based on the analysis. When the user selects an image of an accommodation product included in the recommended accommodation product area 230, a detailed screen of the accommodation product corresponding to the selected image may be displayed.

The home screen 200 described so far can be understood as a screen that can be basically applied to a platform related to reservation services for accommodation products. However, if necessary, some components constituting the home screen 200 are deleted, some components are added to the home screen 200 according to various embodiments of the present disclosure, or other general-purpose components are added to the home screen 200. It should be noted that it can be added to (200). Additionally, the arrangement of the components constituting the home screen 200 may vary.

Figure 3 shows a detailed screen 300 of an accommodation product that may be referenced in an embodiment of the present disclosure. In particular, Figure 3 shows a detailed screen 300 of an accommodation product in which the entire reservation fee can be refunded up to 1 day before the date of use. That is, as explained with reference to FIG. 1, compensation to the supplier is paid based on the insurance money paid by the insurance company, so the user can receive a full refund of the reservation deposit without the burden of a cancellation fee.

3 in detail, the detailed screen 300 may include an image display area 310, an attribute selection area 320, a basic information display area 330, or a review display area 340.

The image area 310 may be an area that displays images of accommodation facilities corresponding to accommodation products. The attribute selection area 320 may be an area that displays buttons for displaying detailed information about an accommodation product (e.g., a room selection button 321, an accommodation description button, a product name button, and a product inquiry button). For example, when the room selection button 321 is selected by the user, a settings bar 321a for setting the room type provided in the accommodation may be displayed. The basic information display area 330 may be an area that displays basic information about lodging products. For example, the name of the accommodation 331, the reservation deposit 332, or an identifier 333 indicating that the entire reservation deposit can be refunded may be displayed in the basic information display area 330. By checking the identifier 333 displayed on the details screen 300, the user can identify the accommodation product with the identifier 333 as an accommodation product for which a full refund of the reservation deposit is possible even if the reservation is canceled. The review display area 340 may be an area that displays reviews about accommodation products.

The detailed screen 300 described so far can be understood as a detailed screen for accommodation products posted on the platform. For example, when an image of an accommodation product posted on the platform (e.g., an image of an accommodation product displayed on the home screen 200) is selected by the user, the screen may be switched to the details screen 300. However, if necessary, some components constituting the detailed screen 300 are deleted, some components are added to the detailed screen 300 according to various embodiments of the present disclosure, or other general-purpose components are added to the detailed screen 300. It should be noted that it can be added to (300). Additionally, the arrangement of the components constituting the detailed screen 300 may vary.

4 illustrates a computing device 400 that can implement a device according to an embodiment of the present disclosure. In the present disclosure, the computing device 400 may be represented as an electronic device, and the computing device 400 and the electronic device may be referred to interchangeably. Each of the above-described reservation processing device 110, user terminal 120, insurance company server device 130, and provider terminal 140 may be implemented by this computing device 400. Computing device 400 may include one or more processors 410, one or more memories 420, or a communication interface 430. In one embodiment, some components may be deleted from computing device 400 or other components (eg, display, etc.) may be added to computing device 400 . Additionally, some components may be integrated and implemented additionally or alternatively, or may be implemented as a single or plural entity. In this disclosure, one or more processors 410 may be referred to as processor 410. The term processor 410 may refer to a set of one or more processors, unless the context clearly expresses otherwise. Additionally, in this disclosure, one or more memories 420 may be referred to as memory 420 . The term memory 420 may mean a set of one or more memories, unless the context clearly expresses otherwise.

At least some components within the computing device 400 are connected to each other through a bus, General Purpose Input/Output (GPIO), Serial Peripheral Interface (SPI), or Mobile Industry Processor Interface (MIPI), and transmit data or signals. can be given or received.

The processor 410 may perform operations or data processing related to control or communication of each component of the computing device 400. Specifically, the processor 410 controls at least one component of the computing device 400 connected to the processor 410 by running software (e.g., commands, instructions, or programs) received from other components. can do. As an example, the processor 410 may load instructions or data into the memory 420, process the instructions or data stored in the memory 420, and store result data according to the processing in the memory 420. there is. Additionally, the processor 410 may be operatively connected to components of the computing device 400 to perform various operations related to the present disclosure, such as calculation, processing, data generation or processing.

Memory 420 can store various data. Data stored in the memory 420 is data acquired, processed, or used by at least one component of the computing device 400, and may include software (e.g., commands, instructions, or programs). . As an example, the memory 420 may store instructions for operating the processor 410 as a computer program. The computer program, when loaded into memory 420, may include one or more instructions that cause processor 410 to perform operations according to various embodiments of the present disclosure. That is, the processor 410 may perform operations according to various embodiments of the present disclosure by executing one or more instructions described above. Additionally, memory 420 may include volatile or non-volatile memory. In one embodiment, the program is software stored in the memory 420, and is an operating system, application, or application for controlling the resources of the computing device 400 and provides various functions to the application so that the application can utilize the resources of the computing device 400. It may include provided middleware, etc.

The communication interface 430 may also be called a network interface. The communication interface 430 can establish a wired or wireless communication channel with an external device and transmit and receive various data with the external device. In one embodiment, the communication interface 430 may include at least one port for connecting to an external device via a wired cable in order to communicate with the external device via a wired cable. In this case, the communication interface 430 can communicate with a wired external device through at least one port. In one embodiment, communication interface 430 may include a cellular communication module and be configured to connect to a cellular network (e.g., 3G, LTE, 5G, Wibro, or Wimax). In one embodiment, the communication interface 430 includes a short-range communication module and can transmit and receive data with an external device using short-range communication (e.g., Wi-Fi, Bluetooth, Bluetooth Low Energy (BLE), UWB). In one embodiment, communication interface 430 may include a contactless communication module for contactless communication. Non-contact communication may include at least one non-contact proximity communication technology, such as, for example, Near Field Communication (NFC) communication, Radio Frequency Identification (RFID) communication, or Magnetic Secure Transmission (MST) communication. In addition to the various examples described above, the computing device 400 may be implemented in various known ways for communicating with external devices, and the scope of the present disclosure is not limited by the examples described above.

In one embodiment, computing device 400 may further include a display. The display can display various screens based on control of the processor 410. For example, based on the control of the processor 410, the display may display a screen to which various UIs of a platform related to a reservation service for accommodation products are applied. Here, in order to display a screen with various UIs applied on the display, for example, a web browser or a dedicated application may be installed on the computing device 400. Additionally, the display is a component capable of interacting with the user, and can display various screens based on control of the processor 410 and receive user input from the user. This display may be implemented in the form of a touch sensor panel (TSP) that can recognize the contact or proximity of various external objects (eg, fingers, stylus, etc.). Additionally, the touch sensor panel may have various structures and types, and the present disclosure can be applied regardless of the structure and type of the touch sensor panel.

In one embodiment, computing device 400 may further include an input device (eg, a mouse or keyboard, etc.). The input device may receive information to be used in components of the computing device 400 from outside the computing device 400 (eg, a user).

So far, with reference to FIGS. 1 to 4 , devices according to the present disclosure, an environment to which the devices can be applied, and screens of the platform provided by the environment have been described. According to the present disclosure, the burden on the user can be alleviated by paying compensation to the provider based on the insurance amount paid by the insurance company. In addition, the burden on users can be alleviated by the platform operator directly paying compensation to the provider without collaborating with insurance companies. However, actions within the platform that indiscriminately incur cancellation fees without the intention of using the accommodation product may cause unnecessary losses to the operator, supplier, or insurance company of the platform, so actions that occur within the platform (e.g. Exception processing may be required for requests, etc.).

Hereinafter, methods for exception handling according to various embodiments of the present disclosure will be described in detail. Although operations are shown in a specific order in the drawings below, it should be noted that the operations do not necessarily have to be executed in the specific order or sequential order shown, or that all of the illustrated operations must be executed to obtain the desired results.

Additionally, each step of the methods to be described with reference to the drawings below may be performed by a computing device. In other words, each step of the methods may be implemented as one or more instructions executed by a processor of a computing device. All steps included in these methods may be performed by a single physical computing device; however, the first steps of the method may be performed by a first computing device and the second steps of the method may be performed by a second computing device. It could be. Hereinafter, the description will be continued assuming that each step of the above-described methods is performed by the reservation processing device 110 shown in FIG. 1. However, for convenience of explanation, the description of the operator of each step included in the methods may be omitted.

Figure 5 is a flowchart showing a method of processing a cancellation request according to an embodiment of the present disclosure. The method shown in FIG. 5 can be understood as a series of operations for processing a cancellation request for a reservation of an accommodation product. Hereinafter, the operations shown in FIG. 5 will be described in detail.

In step S510, a plurality of reservation information and one or more cancellation requests corresponding to at least a portion of the plurality of reservation information may be obtained.

Reservation information is information generated based on a reservation request and the reservation conditions accompanying the reservation request, and may refer to information indicating the user's reservation. Reservation conditions may include date information of the accommodation product, name information of the accommodation facility, room type information, and reservation fee information as items. The reservation processing device 110 may receive a reservation request (i.e., a user message generating reservation information) and a reservation condition from the user terminal 120 and generate reservation information. The reservation information may include information on the person who made the reservation for the accommodation product, name information of the accommodation, date information, room type information, and reservation fee information as items. For example, if the reservation conditions for "User A" are {"A Hotel", "September 24, 2022 to September 25, 2022", "Suite Room", "KRW 330,000"}, the reservation conditions As corresponding reservation information, {"A user", "A hotel", "September 24, 2022 to September 25, 2022", "Suite room", "KRW 330,000"} may be created. In addition, the reservation conditions or reservation information may exclude some of the exemplified items or include additional items different from the examples, and may be included in the scope of the present disclosure if the reservation conditions or reservation information are implemented as a means to reflect the user's reservation intention. there is.

A cancellation request may be a message from a user canceling a reservation for which reservation information has been created. The reservation processing device 110 may obtain a cancellation request from the user terminal 120. The cancellation request may include information indicating reservation information corresponding to the cancellation request.

For at least some of the plurality of reservation information processed on the platform, a cancellation request corresponding to the reservation information may be obtained. In other words, some of the reservations that occur on the reservation platform may be non-cancelled reservations, while others may be canceled reservations. In this way, as reservation information and/or cancellation requests are obtained, a reservation pattern based thereon may be extracted. Extraction of the reservation pattern will be explained in detail in a later step.

In step S520, users' reservation patterns for the reservation platform may be extracted. A reservation pattern may be a pattern extracted based on users' requests (e.g., reservation request, cancellation request, etc.) and/or information (e.g., reservation information) for a reservation platform on which multiple accommodation products are posted. For example, the first reservation pattern corresponding to a reservation that has been canceled can be extracted as {first reservation information, first cancellation request}, and the second reservation pattern corresponding to a reservation that has not been canceled can be extracted as {second reservation Information, N/A} can be extracted. Here, the first reservation information, the second reservation information, or the first cancellation request may include at least some of the related items described above with reference to step S510, or at least some of the items may be processed and included. This step can also be understood as a step of analyzing the user's request that has already been processed by the platform. According to this step, the user's request that has already been processed by the platform is analyzed, and the user's request that has already been processed can be classified as a request for exception processing. In addition, the user's request that has already been processed by the platform may be analyzed, and the user's request obtained later may be classified as a request for exception processing.

Regarding step S520, in one embodiment, the step of extracting a reservation pattern may include distinguishing a first reservation pattern that has been canceled within the platform and a second reservation pattern that has not been canceled. By managing reservation patterns separately according to whether or not they are cancelled, the convenience of managing various requests from users that require exception processing can be improved. In particular, it is possible to intensively manage the canceled first reservation pattern, which may require more exception processing. As an example of classification, the first reservation pattern and the second reservation pattern can be distinguished and stored in the database. Here, the entire first reservation pattern may be stored in the database, and at least a portion of the second reservation pattern may be stored in the database. The second reservation pattern may not be stored in the database. As another example of classification, the first reservation pattern and the second reservation pattern can be distinguished and used as objects of analysis for exception processing. Here, the entire first reserved pattern may be subject to exception processing analysis, and at least a portion of the second reserved pattern may be subject to exception handling analysis. The second reservation pattern may not be subject to analysis of exception handling.

In step S530, one or more cancellation requests may be classified into either a first request performing first processing or a second request performing second processing. The first processing may be processing (normal processing) that performs a defined operation in response to a cancellation request, and the second processing may be processing (exception processing) that performs an exception operation of the defined operation in response to the cancellation request. . That is, one or more cancellation requests can be classified into a request to perform a defined operation (first request) and a request to perform an exceptional operation (second request). The reservation pattern extracted as a result of the reservation pattern extraction operation (S520) may be used in this classification operation (S530). In one embodiment, one or more reserved patterns may be used in the classification operation (S530). For example, accommodations corresponding to a user account or accommodation product may be identified and one or more reservation patterns related to the user account may be used in the classification operation (S530).

Regarding step S530, in one embodiment, classifying the one or more cancellation requests into one of a first request performing a first processing and a second request performing a second processing includes: the user sending the cancellation request; It may include calculating the reservation cancellation rate of the account and, if the reservation cancellation rate is higher than the standard cancellation rate, classifying the cancellation request of the user account as a second request. The reservation cancellation rate may refer to the number of canceled reservation information compared to the total number of reservation information in the user account. That is, one or more reservation patterns corresponding to the user account may be used to calculate the reservation cancellation rate. The standard cancellation rate is a standard cancellation rate for classification as a second request, and the platform operating entity can implement the platform by changing the standard cancellation rate as much as possible depending on the actual implementation case. In other words, if the reservation cancellation rate of the user account is higher than the standard cancellation rate, the cancellation request of that user account is classified as the second request, and if the reservation cancellation rate of the user account is lower than the standard cancellation rate, the cancellation request of the user account is classified as the first request. It can be classified as a request. In this embodiment, the classification operation (S530) is described as a ratio, but the ratio may be replaced with something that can be recognized as equivalent to the ratio (e.g., number, number of times, etc.).

Regarding the standard cancellation rate, in one embodiment, the standard cancellation rate may be determined to be higher as the number of valid reservations of the user account increases. The number of valid reservations may refer to the number of reservations for accommodation products that have not been canceled in the user account. In other words, it may mean the total number of reservation information in the user account minus the number of canceled reservation information. According to this embodiment, by increasing the standard cancellation rate of user accounts with a large number of valid reservations, it is possible to implement an environment in which free reservations and cancellations can be made for user accounts with high reservation reliability.

Regarding step S530, in another embodiment, the step of classifying the one or more cancellation requests into one of a first request performing a first processing and a second request performing a second processing includes: It may include calculating a reservation cancellation rate of an accommodation facility and, if the reservation cancellation rate is higher than a standard cancellation rate, classifying a cancellation request for an accommodation product as a second request. The reservation cancellation rate may refer to the number of canceled reservation information compared to the total number of reservation information of accommodation facilities corresponding to the accommodation product. That is, one or more reservation patterns corresponding to accommodation facilities may be used to calculate the reservation cancellation rate. The standard cancellation rate is a standard cancellation rate for classification as a second request, and the platform operating entity can implement the platform by changing the standard cancellation rate as much as possible depending on the actual implementation case. In other words, if the reservation cancellation rate of the accommodation facility is higher than the standard cancellation rate, the cancellation request for the accommodation product related to the accommodation facility is classified as a secondary request, and if the cancellation rate is lower than the standard cancellation rate, the cancellation request for the accommodation product related to the accommodation facility is classified as a secondary request. can be classified as the first request. In this embodiment, the classification operation (S530) is described as a ratio, but the ratio may be replaced with something that can be recognized as equivalent to the ratio (e.g., number, number of times, etc.).

Regarding the baseline cancellation rate, in one embodiment, the baseline cancellation rate may be determined to be higher as the number of valid reservations for the accommodation increases. The number of valid reservations may refer to the number of reservations for accommodation products that have not been canceled by the accommodation facility. In other words, it may mean the total number of reservation information for accommodations minus the number of canceled reservation information. According to this embodiment, by increasing the standard cancellation rate of accommodations with a large number of valid reservations, it is possible to create an environment in which free reservations and cancellations of reservations for accommodations with high reservation reliability are possible.

Regarding step S530, in another embodiment, the step of classifying the one or more cancellation requests into one of a first request performing a first processing and a second request performing a second processing corresponds to an accommodation product. It may include the step of calculating the total penalty amount due to cancellation of the reservation of the accommodation facility being made, and if the total penalty amount is more than the standard amount, classifying the cancellation request for the accommodation product as a second request. The total penalty may refer to the total amount of penalty incurred according to canceled reservation information of the accommodation corresponding to the accommodation product. That is, one or more reservation patterns corresponding to accommodations may be used to calculate the total penalty amount. As explained with reference to Figures 1 to 4, the penalty is a compensation to compensate for the supplier's disadvantage in an environment that reduces the user's burden (e.g., an environment in which compensation is paid by the operating entity instead of the user's penalty). can see. The standard amount is the standard amount for classification as a second request, and the platform operator can implement the platform by changing the standard amount as much as necessary depending on the actual implementation case. In other words, if the total penalty for the accommodation is higher than the standard amount, the cancellation request for the accommodation product related to the accommodation is classified as a second request, and if it is lower than the standard amount, the cancellation request for the accommodation product related to the accommodation is classified as a first request. It can be classified as a request. In this embodiment, the classification operation (S530) is described as a sum of amounts, but the sum may be replaced by something that can be recognized as equivalent to the sum (e.g., a ratio, etc.).

Regarding the base amount, in one embodiment, the base amount may be determined to be higher as the number of valid reservations for the accommodation increases. The number of valid reservations may refer to the number of reservations for accommodation products that have not been canceled by the accommodation facility. In other words, it may mean the total number of reservation information for accommodations minus the number of canceled reservation information. According to this embodiment, by increasing the standard cancellation rate of accommodations with a large number of valid reservations, it is possible to create an environment in which free reservations and cancellations of reservations for accommodations with high reservation reliability are possible.

Regarding step S530, in another embodiment, classifying the one or more cancellation requests into one of a first request performing a first processing and a second request performing a second processing includes: When a reservation request for an accommodation product and a cancellation request corresponding to the reservation request are sent from the user terminal 120 within a standard period from the step of identifying the change point in attribute information and the change point, classifying the cancellation request as a second request May include steps. Attribute information may mean information about the attributes of an accommodation product. For example, the attribute information may include at least some of the following items: date information of the accommodation product, name information of the accommodation corresponding to the accommodation product, room type information, and reservation fee information. The change point may mean the point in time when attribute information changes. For example, attribute information may change due to a request from the provider terminal 140 to the reservation processing device 110. Here, the reservation processing device 110 may identify the change point according to the request obtained from the provider terminal 140. The standard period is a standard period for classification as a second request, and the platform operator can implement the platform by changing the standard period as much as necessary depending on the actual implementation case. That is, if a reservation request and a cancellation request corresponding to the reservation request are transmitted to the user terminal 120 within the reference period from the time of change in the attribute information of the accommodation product, the cancellation request may be classified as a second request. According to this embodiment, the provider and the user have the same intention (e.g., the intention to intentionally generate a penalty, etc.), change the attribute information using the provider terminal 140, and use the user terminal 120 within the standard period to collect the penalty. Requests that generate can be classified as requests for exception handling. Here, the provider and the user may be substantially the same person. If the changed attribute information is reservation fee information, the provider and user may transmit a request with the intention of intentionally generating an excessively calculated penalty, and according to this embodiment, the request may be classified as a request for exception processing. there is.

Regarding the reference period, in one embodiment, it may be determined based on the time interval of the change point and date information corresponding to the accommodation product. For example, when the change point and date information are adjacent, the standard period may be determined to be longer than when they are not adjacent. If the change point and date information are adjacent, a penalty may be intentionally incurred, so by determining the standard period to be long, a False Negative according to the classification operation (S530), e.g., a request that should be classified as a second request, is classified as a first request. classification) can be reduced.

Regarding step S530, in another embodiment, one or more rules of the above-described classification operation (S530) are mixed, so that the cancellation request may be classified as either a first request or a second request. That is, if one or more rules are mixed and the classification operation (S530) is executed, the result value of each rule is processed as a binary number (e.g., 0 or 1), a weight is applied to the result value, and the weighted sum is performed. Based on the result value of , the cancellation request may be classified as either a first request or a second request. The weight can be understood as the importance given to the rule for classification into the second request, and the platform operator can implement the platform by changing the weight as much as necessary according to the actual implementation case.

In step S540, for the second request, second processing may be performed. That is, the reservation processing device 110 may perform exception processing for a request classified as a second request.

Regarding step S540, in one embodiment, performing the second processing may include disabling processing of reservation cancellations for accommodation products according to the cancellation request determined as the second request. Deactivation can be understood as processing that does not execute reservation cancellation processing (i.e., an operation defined in response to a cancellation request).

Regarding step S540, in another embodiment, the step of performing the second processing includes performing processing of reservation cancellation for an accommodation product by reducing the refund amount according to the cancellation request determined as the second request by a standard percentage. May include steps. If the platform is implemented in an environment where the entire reservation deposit is refunded, the reservation cancellation can be performed by reducing the entire reservation deposit by a standard percentage. The standard rate is a rate that changes the refund amount according to exception handling, and the platform operator can implement the platform by changing the standard rate as much as possible depending on the actual implementation case.

Regarding step S540, in another embodiment, performing the second processing may include deleting the accommodation product corresponding to the second request from the reservation platform. Additionally, you can delete it from a specific category on the reservation platform (e.g., a category where the reservation fee is fully refundable, etc.). Furthermore, the entire accommodation product of the accommodation facility related to the accommodation product can be deleted from the reservation platform or a specific category.

Regarding step S540, in another embodiment, performing the second processing may include transmitting, to the user terminal corresponding to the user account, a notification informing of the second processing corresponding to the second request. You can. When a notification is sent from the reservation processing device 110, the user terminal 120 sends the message in various ways (e.g., status bar notification, heads-up notification, lock screen notification, app icon badge notification, wearable device notification, etc.). It can be expressed. By checking the notification, the user can confirm that the second processing is in progress, and if the cancellation request is due to a misunderstanding, the user can correct the cancellation request through the notification.

So far, the cancellation request processing method has been described with reference to FIG. 5. Due to a series of operations related to exception handling for cancellation requests of the present disclosure, it is possible to protect the operator of the platform while reducing the cancellation fee borne by the user. Hereinafter, the reservation request processing method will be described with reference to FIG. 6. Since the processing method of a reservation request differs from the processing method of a cancellation request only in the type of request, even if there are descriptions omitted from the description of FIG. 6 below, the technical idea regarding the cancellation request can be applied as is or with some modification. Be careful.

Figure 6 is a flowchart showing a method of processing a reservation request according to an embodiment of the present disclosure. The method shown in FIG. 5 can be understood as a series of operations for processing a reservation request for an accommodation product. Hereinafter, the operations shown in FIG. 6 will be described in detail.

In step S610, multiple reservation requests may be obtained. The description of this step can be understood by referring to the description of the reservation information in step S510.

6, in one embodiment, each of a plurality of reservation requests may be extracted as a reservation pattern. As a pattern corresponding to the first reservation request, for example, {first reservation condition} can be extracted. Here, the first reservation condition is a reservation condition corresponding to the first reservation request, and may include at least some of the related items described above with reference to step S510, or at least some of the items may be processed and included. Descriptions not described regarding this embodiment can be understood by referring to the description of step S520.

In step S620, the plurality of reservation requests may be classified into either a third request performing third processing or a fourth request performing fourth processing. The third processing may be a processing that performs a defined operation in response to a reservation request (normal processing), and the fourth processing may be a processing that performs an exception operation of the defined operation in response to the reservation request (exception processing). . That is, a plurality of reservation requests can be classified into a request to perform a defined operation (third request) and a request to perform an exceptional operation (fourth request). The reservation pattern extracted as a result of the reservation pattern extraction operation may be used in this classification operation (S620). In one embodiment, one or more reserved patterns may be used in the classification operation S620. For example, accommodations corresponding to a user account or accommodation product may be identified and one or more reservation patterns related to the user account may be used in the classification operation (S620).

Regarding step S620, in one embodiment, the step of classifying a plurality of reservation requests into one of a third request and a fourth request may include determining that the user account that sent the target reservation request is If more than a standard number of reservation requests are transmitted to the date information, a step of classifying the target reservation request as a fourth request may be included. The target reservation request may mean a reservation request that is the target of classification. That is, a reservation request to make more than a standard number of reservations on one date may be classified as a fourth request. The standard number is a standard number for classification into the fourth request, and the platform operator can implement the platform by changing the standard number as much as necessary depending on the actual implementation case.

Regarding step S620, in another embodiment, the step of classifying the plurality of reservation requests into one of a third request and a fourth request includes the user account transmitting the first reservation request being attached to the first reservation request. When transmitting a reservation request of a standard number or more to the date information of the reservation condition, comparing location information corresponding to each of the first reservation request and the second reservation request included in the reservation request of the standard number or more, and comparing the location information. If the distance based on is greater than or equal to the reference distance, it may include classifying the first reservation request as a fourth request. That is, by considering the number of reservation requests on one date and the distance of the accommodation corresponding to the reservation request, the target reservation request can be classified as the fourth request. The standard number or standard distance is the number or distance that serves as a standard for classification into the fourth request, and the platform operator can implement the platform by changing the standard number as much as necessary depending on the actual implementation case.

In step S630, for the fourth request, fourth processing may be performed. That is, the reservation processing device 110 may perform exception processing for the request classified as the fourth request.

Regarding step S630, in another embodiment, performing the fourth processing may include transmitting a notification informing the fourth processing corresponding to the fourth request to the user terminal corresponding to the user account. You can. When a notification is sent from the reservation processing device 110, the user terminal 120 sends the message in various ways (e.g., status bar notification, heads-up notification, lock screen notification, app icon badge notification, wearable device notification, etc.). It can be expressed. By checking the notification, the user can confirm that the fourth processing is in progress, and if the reservation request is due to a misunderstanding, the user can correct the reservation request through the notification.

5 and 6, in one embodiment, the classification period for cancellation requests may be shorter than the classification period for reservation requests. Here, the classification cycle may mean the cycle of the classification operation (S530, S620). If the classification cycle is relatively short, the intensity of classification can be understood as relatively high, and if the classification cycle is relatively long, the intensity of classification can be understood as relatively low. According to this embodiment, a cancellation request may be a request directly related to the occurrence of a penalty, so by making the classification cycle of the cancellation request shorter than the classification cycle of the reservation request, the cancellation request can be classified/analyzed more intensely than the reservation request. You can.

So far, the reservation request processing method has been described with reference to FIG. 6. Due to a series of operations related to exception processing for reservation requests of the present disclosure, it is possible to classify requests for exception processing even before a cancellation request is generated, thereby reducing the cancellation fee borne by the user and operating the platform. can protect.

The effects according to the technical idea of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned may be clearly understood by those skilled in the art from the description of the present disclosure.

In the flow chart according to the present disclosure, each step of the method or algorithm is described in sequential order, but each step may be performed in an order that can be arbitrarily combined in addition to being performed sequentially. The description of the disclosure as a flowchart or flowchart does not exclude making changes or modifications to the method or algorithm, nor does it imply that any step is required or desirable. In one embodiment, at least some of the steps may be performed in parallel, iteratively, or heuristically. In another embodiment, at least some steps may be omitted or other steps may be added.

Various embodiments according to the present disclosure may be implemented as software on a machine-readable storage medium. The software may be software for implementing various embodiments described in this disclosure. Software can be inferred from the various embodiments described in this disclosure by programmers in the technical field to which this disclosure pertains. For example, software may be a program that contains machine-readable instructions (e.g., instructions, code, or code segments). A device is a device that can operate according to commands retrieved from a storage medium, and may be, for example, a computer. In one embodiment, the device may be a computing device according to various embodiments described in this disclosure. In one embodiment, the device's processor may execute the called instruction, causing the device's components to perform a function corresponding to the instruction. A storage medium can refer to any type of recording medium in which data that can be read by a device is stored. Storage media may include, for example, ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, etc. In one embodiment, the storage medium may be implemented in a distributed form, such as in a networked computer system. At this time, the software may be distributed, stored, and executed on a computer system, etc. In another embodiment, the storage medium may be a non-transitory storage medium. Non-transitory storage media refers to a medium that exists regardless of whether data is stored semi-permanently or temporarily, and does not include signals that are transmitted temporarily.

Although the technical idea according to the present disclosure has been described above through various embodiments, the technical idea according to the present disclosure is various substitutions, modifications, and Includes changes. Additionally, it is to be understood that such substitutions, modifications and alterations may be included within the scope of the appended claims.

Claims (20)

1. In a method of processing a reservation for an accommodation product made by an electronic device,

   Obtaining a plurality of reservation information for each of a plurality of accommodation products and one or more cancellation requests corresponding to at least a portion of the plurality of reservation information - each of the plurality of reservation information includes reservation information of the accommodation product and name of the accommodation facility. Contains at least some of the information, date information, room type information, and reservation fee information -;

   extracting reservation patterns of users for a reservation platform on which the plurality of accommodation products are posted, based on the plurality of reservation information and the one or more cancellation requests;

   Based on the reservation pattern, classifying the one or more cancellation requests into one of a first request performing first processing and a second request performing second processing distinct from the first processing - the first request Processing is normal processing for a cancellation request, and the second processing is exception processing for a cancellation request; and

   For the second request, performing the second processing.
2. According to paragraph 1,

   The step of extracting the reservation pattern is,

   extracting a first reservation pattern that has been canceled based on the one or more cancellation requests;

   extracting a second reservation pattern that has not been canceled; and

   Method comprising the step of distinguishing the first reservation pattern and the second reservation pattern and storing them in a database.
3. According to paragraph 1,

   Each of the plurality of reservation information is generated based on a reservation request accompanied by the user's reservation conditions - the reservation conditions include date information of the accommodation product, name information of the accommodation facility, room type information, and reservation fee information - ,

   Obtaining a plurality of reservation requests corresponding to each of the plurality of reservation information;

   Classifying the plurality of reservation requests into one of a third request performing third processing and a fourth request performing fourth processing distinct from the third processing, wherein the third processing is normal for the reservation request. processing, and the fourth processing is exception processing for a reservation request -; and

   The method further comprising performing the fourth processing on the fourth request.
4. According to paragraph 3,

   The step of classifying the plurality of reservation requests into one of the third request and the fourth request,

   When the user account that transmitted the target reservation request transmits more than a standard number of reservation requests in the date information of the reservation condition accompanying the target reservation request, classifying the target reservation request as the fourth request. Method.
5. According to paragraph 3,

   The step of classifying the plurality of reservation requests into one of the third request and the fourth request is,

   When the user account that transmitted the first reservation request transmits a reservation request of more than a standard number in the date information of the reservation conditions accompanying the first reservation request, the second reservation request included in the first reservation request and the reservation request of more than the standard number Comparing location information corresponding to each reservation request; and

   If the distance based on the comparison of location information is greater than or equal to a reference distance, classifying the first reservation request as the fourth request.
6. According to clause 4 or 5,

   The step of performing the fourth processing is,

   A method comprising transmitting, to a user terminal corresponding to the user account, a notification informing of the fourth processing corresponding to the fourth request.
7. According to paragraph 3,

   The performance cycle of classifying the one or more cancellation requests into one of the first request and the second request is the performance cycle of classifying the plurality of reservation requests into one of the third request and the fourth request. Shorter, way.
8. According to paragraph 1,

   The step of classifying the one or more cancellation requests into one of the first request and the second request includes:

   Calculating a reservation cancellation rate of the user account that sent the cancellation request; and

   If the reservation cancellation rate is greater than or equal to a reference cancellation rate, classifying the cancellation request of the user account as the second request.
9. According to clause 8,

   The above standard cancellation rate is,

   The higher the number of valid reservations for the user account, the higher it is determined.

   The number of valid reservations is the number of reservations for accommodation products that have not been canceled by the user account.
10. According to paragraph 1,

    The step of classifying the one or more cancellation requests into one of the first request and the second request includes:

    Calculating a reservation cancellation rate of an accommodation facility corresponding to an accommodation product; and

    If the reservation cancellation rate is greater than or equal to a standard cancellation rate, classifying a cancellation request for the accommodation product as the second request.
11. According to paragraph 1,

    Classifying the one or more cancellation requests into one of the first request and the second request,

    Calculating the total amount of penalty due to cancellation of reservation of accommodation corresponding to the accommodation product; and

    If the total amount of the penalty is greater than or equal to the standard amount, classifying the cancellation request for the accommodation product as the second request.
12. According to claim 10 or 11,

    The above standard cancellation rate or the above reference amount is,

    The higher the number of valid reservations for the above accommodations, the higher the decision.

    The method wherein the number of valid reservations is the number of reservations for accommodation products that have not been canceled at the accommodation facility.
13. According to paragraph 1,

    The step of classifying the one or more cancellation requests into one of the first request and the second request includes:

    Identifying a change point in attribute information for an accommodation product; and

    If a reservation request for the accommodation product and a cancellation request corresponding to the reservation request are sent within a reference period from the change point, classifying the cancellation request as the second request.
14. According to clause 13,

    The attribute information is,

    A method including reservation deposit information for the accommodation product.
15. According to clause 13,

    The above reference period is,

    A method determined based on a time interval between the change point and date information corresponding to the accommodation product.
16. According to paragraph 1,

    The step of performing the second processing is,

    A method comprising disabling processing of reservation cancellation for an accommodation product according to a cancellation request determined by the second request.
17. According to paragraph 1,

    The step of performing the second processing is,

    A method comprising processing a reservation cancellation for an accommodation product by reducing the refund amount according to the cancellation request determined by the second request by a standard percentage.
18. According to paragraph 1,

    The step of performing the second processing is,

    Method comprising deleting the accommodation product corresponding to the second request from the reservation platform.
19. processor;

    network interface;

    Memory; and

    Includes a computer program loaded into the memory and executed by the processor,

    The computer program is,

    Instructions for obtaining a plurality of reservation information for each of a plurality of accommodation products and one or more cancellation requests corresponding to at least a part of the plurality of reservation information - each of the plurality of reservation information includes reservation information of the accommodation product, accommodation Contains at least part of the facility name information, date information, room type information, and reservation fee information -;

    Instructions for extracting reservation patterns of users for a reservation platform on which the plurality of accommodation products are posted, based on the plurality of reservation information and the one or more cancellation requests;

    Based on the reservation pattern, an instruction for classifying the one or more cancellation requests into one of a first request performing first processing and a second request performing second processing distinct from the first processing - the first request Processing is normal processing for a cancellation request, and the second processing is exception processing for a cancellation request; and

    An electronic device, comprising instructions for performing the second processing in response to the second request.
20. According to clause 19,

    Each of the plurality of reservation information is generated based on a reservation request accompanied by the user's reservation conditions - the reservation conditions include date information of the accommodation product, name information of the accommodation facility, room type information, and reservation fee information - ,

    The computer program is,

    Instructions for obtaining a plurality of reservation requests corresponding to each of the plurality of reservation information;

    An instruction for classifying the plurality of reservation requests into one of a third request that performs a third process and a fourth request that performs a fourth process that is distinct from the third process - the third process is a normal request for the reservation request. processing, and the fourth processing is exception processing for a reservation request -; and

    The electronic device further includes instructions for performing the fourth processing in response to the fourth request.

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