CN111915038A - Airline ticket and hotel packaging recommendation method based on airline driver frequent traveler and related device - Google Patents

Abstract

The invention discloses a method for recommending air tickets and hotels based on frequent flyers of airlines. Number of people and class of class; inquire about each target flight that meets the booking information; determine the number of stay days, and filter out each target hotel according to membership level, destination, departure date, number of travelers and stay days; combine each target flight and each target hotel, The first target combination of a preset number of hotels and air tickets is filtered out; the first target combination of a preset number of hotels and air tickets is recommended to frequent travelers. The above method can directly determine the first target combination of a preset number of hotels and air tickets through the reservation information and recommend them to frequent travelers, without the need for repeated input. In the process of booking air tickets and hotels, it is necessary to repeatedly input passenger information and itinerary information, saving savings. Node and ticket reservation time.

Description

Air ticket and hotel package recommendation method and related device based on airline frequent flyer

technical field

The invention relates to the field of Internet technology, and in particular, to a method and device for recommending air tickets and hotel packages based on frequent flyers of airlines.

Background technique

In the process of passenger travel, airlines can not only provide air ticket product reservation services, but also provide hotel reservation services for the current itinerary.

However, the existing airlines' implementation method for air tickets and hotel reservations is to sell air tickets and hotels separately, requiring passengers to book air tickets and hotels through different channel entrances. During the process, it is necessary to repeatedly input passenger information and itinerary information, which is complicated and time-consuming.

SUMMARY OF THE INVENTION

In view of this, the present invention provides a package recommendation method and device for air tickets and hotels based on frequent flyers of airlines, so as to solve the problem that the existing airlines for the realization of reservations for air tickets and hotels are separate sales of air tickets and hotels, which requires Passengers book air tickets and hotels through different channel entrances. Due to the different channel entrances, it is necessary to repeatedly input passenger information and itinerary information in the process of booking air tickets and hotels, which is complicated and time-consuming. Specific solutions as follows:

A frequent flyer-based airfare and hotel package recommendation method, including:

When a ticket reservation request of a frequent flyer is received, the reservation information in the reservation request and the membership level of the frequent flyer are acquired, wherein the reservation information includes: origin, destination, departure date, number of travelers and class of service;

Inquire about each target flight that satisfies the reservation information;

Determine the number of stay days, and filter out each target hotel according to the membership level, the destination, the departure date, the number of travelers and the number of stay days;

Combining the respective target flights and the respective target hotels to screen out the first target combination of a preset number of hotels and air tickets;

A first target combination of the preset number of hotels and air tickets is recommended to the frequent flyer.

Compared with the prior art, the present invention includes the following advantages:

The invention discloses a method for recommending air tickets and hotel packages based on frequent flyers of airlines. , where the reservation information includes: origin, destination, departure date, number of travelers and class of travel; query each target flight that meets the reservation information; determine the number of days of stay, according to the membership level, The destination, the departure date, the number of travelers and the number of days of stay are selected to screen out each target hotel; the target flight and the target hotel are combined to screen out a preset number of hotels and the first number of air tickets. a target combination; recommending the first target combination of the preset number of hotels and air tickets to the frequent flyer. The above method can directly determine the first target combination of a preset number of hotels and air tickets through the reservation information and recommend them to frequent travelers, without the need for repeated input. In the process of booking air tickets and hotels, it is necessary to repeatedly input passenger information and itinerary information, saving savings. Node and ticket reservation time.

Of course, it is not necessary for any product embodying the present invention to achieve all of the above-described advantages simultaneously.

Description of drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative efforts.

1 is a flowchart of a method for recommending air tickets and hotel packaging based on frequent flyers of airlines disclosed in an embodiment of the application;

2 is a structural block diagram of an airline e-commerce system disclosed in an embodiment of the application;

FIG. 3 is a structural block diagram of an airline frequent flyer-based air ticket and hotel package recommendation device disclosed in an embodiment of the present application.

Detailed ways

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for the purpose of A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes, and are not intended to limit the protection scope of the present disclosure.

As used herein, the term "including" and variations thereof are open-ended inclusions, ie, "including but not limited to". The term "based on" is "based at least in part on." The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions of other terms will be given in the description below.

It should be noted that concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or interdependence. It should be noted that the modifications of "a" and "a plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless the context clearly indicates otherwise, they should be understood as "one or a plurality of". multiple".

The invention discloses a method and device for air ticket and hotel package recommendation based on frequent flyers of airlines, which are applied to the frequent flyers of airlines to recommend the combination of air tickets and hotels for frequent flyers when booking air tickets. With the booming domestic tourism market With the development of the market, there are more and more tourism products available for online purchase, such as air tickets, hotels, car rentals, tickets, etc. It has become a trend for tourists to purchase through Internet channels. Most of the existing domestic airlines only sell air tickets, and occasionally individual airlines sell hotel products. At present, the main implementation methods of the e-commerce system of airlines that sell hotel products are that air tickets and hotels are sold separately and purchased through two entrances. Recommended mode.

From the perspective of the above-mentioned current airline implementation methods, there are the following shortcomings: 1. Poor passenger experience: Air tickets and hotels are sold separately. After passengers purchase air tickets, they go to buy hotel products. Passengers need to purchase two products in turn, which cannot be used in It takes a long time to complete the purchase of air tickets and hotel products in one process, and it gives a poor experience to passengers; 2. No price advantage: Air tickets and hotels are sold separately, and the prices of air tickets and hotels are controlled separately, and discounts cannot be made. 1+1=2 is realized, which is no longer attractive to passengers; 3. Non-recommended method: passengers are required to choose the air ticket and hotel mode for purchase, and passengers are also required to enter the check-in date, the number of hotel rooms and other conditions, showing a large number of passengers. There are no filtering and sorting of hotels, as well as package recommendations for air tickets and hotels. It is difficult to attract passengers who are not willing to buy hotel products, and it is easy to cause difficulties for passengers to choose. Based on the above problems, the present invention provides an airline ticket and hotel package recommendation method based on frequent flyers to solve the above problems. The execution flow of the recommendation method is shown in Figure 1, including the steps:

S101. When receiving an air ticket reservation request of a frequent flyer, obtain the reservation information in the reservation request and the membership level of the frequent flyer, wherein the reservation information includes: origin, destination, departure date, travel number of people and class of service;

In the embodiment of the present invention, the frequent flyer is a member passenger of an airline. When the frequent flyer logs in to the airline e-commerce system, the login method may be user password login, fingerprint login, verification code login, etc. The embodiment of the present invention The specific form of login is not limited. The airline e-commerce system will authenticate the login information of the frequent flyer in the airline's frequent flyer system. When the authentication is passed, the frequent flyer logs into the airline e-commerce system, and the frequent flyer passes the The airline e-commerce system selects the origin, destination, departure date, number of passengers and class of travel, and obtains the membership level information of the frequent flyer, wherein the membership level can be ordinary card, silver card, gold card and platinum card card etc. When the frequent flyer selection is completed and confirmed, the airline e-commerce system will receive the ticket reservation request, and obtain the reservation information in the reservation request and the membership level of the frequent flyer, wherein the reservation information includes : origin, destination, departure date, number of travelers and class of travel, wherein the number of travelers includes: adults and/or children, and the class of travel includes: at least one of first class, business class and economy class .

Further, the airline e-commerce system also includes a one-way or round-trip option. If the frequent flyer chooses the one-way option, the reservation information includes: origin, destination, departure date, number of passengers and class of travel , if the frequent flyer selects the round-trip option, indicating that the frequent flyer has booked a return ticket, the booking request will include the return date, and the airline e-commerce system will obtain the return date in the booking request, and will If the return date is added to the reservation information, the reservation information includes: origin, destination, departure date, number of travelers, class of travel, and return date.

S102, query each target flight that satisfies the reservation information;

In the embodiment of the present invention, the reservation information is sent to the civil aviation reservation system for air ticket brand query, where the air ticket brand refers to the combination of cabin class, price, and cabin class corresponding policies such as refund and change, baggage, etc. According to the reservation information, call the background freight rate inquiry system, wherein the freight rate inquiry system is used to provide a system for querying flight prices, brands, etc., and the freight rate inquiry system is described according to the incoming conditions. Reservation Information Get the lowest fares for each eligible flight and each flight brand described.

S103, determine the number of days of stay, and filter out each target hotel according to the membership level, the destination, the departure date, the number of travelers and the number of days of stay;

In the embodiment of the present invention, the allocation ratio of membership level and hotel star rating will be established in advance according to the membership level, and the airline company can set it according to the weight, for example, the gold card level, and the hotel star rating allocation ratio can be configured: 8:2:0 (5 stars) Level: 4-star: 3-star), that is, gold card passengers can recommend 80% of 5-star hotels, 20% of 4-star hotels, and other star-rated hotels are not recommended. This weight can be adjusted by the airline company according to the market demand, and the specific value is not limited in the embodiment of the present invention.

Before screening hotels, the number of stay days of the frequent flyer needs to be determined. If the return date and departure date are included in the reservation information, the number of stay days can be determined directly based on the return date and departure date. If the return date is not included in the reservation information, select the preset The number of days is the number of stay days, where the preset number of days may be set based on specific conditions or experience. In this embodiment of the present invention, the value of the preset number of days is not limited.

According to the destination, the departure date, the number of travelers, and the number of days staying in the hotel, it is transmitted to the hotel interface system, so that each candidate hotel is screened out in the hotel interface system, and each candidate hotel feedback from the hotel interface system is received. Select a hotel, including the lowest price of each room type of each candidate hotel, and then the hotel interface system will return each candidate hotel to sort according to the star rating plus the hotel score, (with the same rating or star rating, according to the price Sorting from low to high), after the sorting is completed, query the hotel star rating allocation ratio that matches the frequent flyer membership level. be limited. Each target hotel is screened out from each candidate hotel according to the hotel star distribution ratio.

Further, the order of execution of S102 and S103 is not limited in this embodiment of the present invention.

S104, combining each target flight and each target hotel, and filtering out a first target combination of a preset number of hotels and air tickets;

In the embodiment of the present invention, each target flight and each target hotel are combined, and the principle of combination is: for each target flight, it is packaged with each target hotel to obtain a combination of each hotel and air ticket, Obtain the hotel price of the lowest-priced room type of each target hotel and the air ticket price of each target flight, package the hotel price and air ticket price, and then calculate and process the packaged product discounts according to the packaging preferential rules set by the airline, wherein , the package preferential rules can be set based on experience or specific conditions, which are not limited in the embodiment of the present invention. In the end, only the first target combination of displaying a preset number of hotels and air tickets is preferentially recommended for the frequent flyer to choose, and Displaying the preferential amount of the first target combination of each hotel and air ticket, wherein the prices of the first target combination of the preset number of hotels and air tickets are all lower than the prices of the remaining combinations of hotels and air tickets. Preferably, the The preset number is 10, and the value of the preset number may be set based on experience or specific circumstances. In this embodiment of the present invention, the value of the preset number is not limited.

S105. Recommend the first target combination of the preset number of hotels and air tickets to the frequent flyer.

In the embodiment of the present invention, the first target combination of the preset number of hotels and air tickets is displayed on the airline e-commerce system, so as to realize the recommendation for the frequent flyer, so that the frequent flyer can choose the The first target combination of a preset number of hotels and air tickets.

Further, if it is detected that the frequent flyer does not select the target combination of the preset number of hotels and air tickets, it means that the frequent flyer is not satisfied with the first target combination of the preset number of hotels and air tickets, Identify whether the frequent flyer has input query conditions, and if so, search for a second target combination of air tickets and hotels that satisfies the query conditions based on the query conditions; otherwise, abandon the current recommendation.

If the frequent flyer chooses the first target combination of recommended hotels and air tickets or selects the product selected by the second target combination of querying more hotels and air tickets to make a reservation, the system will display the flight itinerary information, hotel information, room information in the selected target combination The number and total price, the amount of discount, as well as various taxes and fees on the ticket, etc., after the frequent flyer is determined, submit it to the system for subsequent booking process processing operations.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more logical functions for implementing the specified functions executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The invention discloses a method for recommending air tickets and hotel packages based on frequent flyers of airlines. , where the reservation information includes: origin, destination, departure date, number of travelers and class of travel; query each target flight that meets the reservation information; determine the number of days of stay, according to the membership level, The destination, the departure date, the number of travelers and the number of days of stay are selected to screen out each target hotel; the target flight and the target hotel are combined to screen out a preset number of hotels and the first number of air tickets. a target combination; recommending the first target combination of the preset number of hotels and air tickets to the frequent flyer. The above method can directly determine the first target combination of a preset number of hotels and air tickets through the reservation information and recommend them to frequent travelers, without the need for repeated input. In the process of booking air tickets and hotels, it is necessary to repeatedly input passenger information and itinerary information, saving savings. Node and ticket reservation time.

In the embodiment of the present invention, the first target combination of hotel and air ticket and the second target combination of hotel and air ticket are sold as packaged products in the recommendation method, which supports the recommendation of air tickets and hotel packaged products in scenarios such as one-way, round-trip, etc. , and based on the traveler's current itinerary information and frequent flyer information, it provides a series of discounted air ticket and hotel packaged products for passengers to choose from, and prioritizes the top 10 air ticket and hotel packaged products. In this way, the purchase experience of passengers can be improved, and passengers can be attracted to buy air tickets and hotel packaged products, so as to increase the opportunities for airlines to sell hotels. At the same time, it also enhances the airline's sales capacity, thereby achieving new profit growth for the airline.

The names of messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of these messages or information. Although operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous.

It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and/or in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this regard.

Computer program code for performing operations of the present disclosure may be written in one or more programming languages, including but not limited to object-oriented programming languages—such as Java, Smalltalk, C++, and This includes conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider through Internet connection).

According to the present invention, an air ticket and hotel package recommendation method is implemented, and an airline e-commerce system system is also provided in the embodiment of the present invention. The airline e-commerce system includes: a passenger login module, a passenger itinerary information input module, air tickets and hotels Package recommendation module, choose to view more air ticket and hotel module, rule configuration module and airline e-commerce system data platform,

Among them, the passenger login module is for passengers to log in in the airline's e-commerce system (B2C website, mobile client, H5 and other channels), pass the airline's frequent flyer system authentication, and obtain the passenger's corresponding membership information. The membership level of the passenger in the membership information will be mapped to the hotel star rating according to the rules of the rule configuration module, as the hotel query condition.

The passenger itinerary information input module is for passengers to purchase travel tickets in the airline's e-commerce system (B2C website, mobile client, H5 and other channels), and input their own itinerary information for the airline's e-commerce system to query the flight information that matches the passenger's itinerary. This module does not need to enter any information related to purchasing a hotel, the background system will process it according to the input air ticket information as a hotel query condition.

The air ticket and hotel package recommendation module is based on the itinerary information entered by the passenger, and goes to the freight rate inquiry system to inquire about the eligible flight prices; Go to the hotel interface system to query the hotel information that meets the criteria, and then sort and filter according to the hotel star rating and rating, and then calculate the discount according to the packaging rules, and finally recommend the first 10 air tickets and Hotels package products to travelers.

Choose to view more air tickets and hotel package products module is to provide various query conditions to inquire about hotels, and then package and combine with air tickets and deal with discounts, and show more air tickets and hotel package products that meet the passenger query conditions to passengers.

The rule configuration module mainly configures three kinds of rules, which are: the corresponding rules of passenger membership level and hotel star rating, hotel filtering rules, air tickets and hotel package discount rules. The rules for the correspondence between membership levels and hotel star ratings are mainly to set the membership level and the mapping relationship with the hotel star rating, so that the data of the corresponding star-rated hotels can be inquired through the membership level, and more suitable hotel products can be provided for travelers more accurately; hotels Filtering rules, used to configure the number of hotels of each star in the recommended hotel set, and simplify the number of recommended hotels; air ticket and hotel package discount rules, used to configure air ticket and hotel combination product discounts, which can be different according to the destination hotel Discount configuration.

The airline e-commerce system data platform includes: air ticket brand data, available hotel data, membership, filtering preferential rule data and passenger membership data.

Further, the airline e-commerce system is connected with the civil aviation seat reservation system, the freight rate inquiry system, the hotel interface system and the airline frequent flyer system.

In the embodiment of the present invention, the above-mentioned system performs packing processing according to the ticket purchase itinerary information entered by the frequent flyer and the frequent flyer member information, combined with hotel sorting and filtering, through packing preferential rules, and preferentially recommends 10 airline tickets and hotel packing for passengers products, so that passengers can purchase air tickets and get more favorable and more suitable air tickets and hotel package products recommendation system. While supporting the purchase of air tickets and hotel packaged products in scenarios such as one-way and round-trip air tickets, the system makes it easier for passengers to purchase air tickets and hotel experience services, thereby enhancing the airline’s sales capability and the attractiveness of the airline’s sales platform.

An example is given based on the above method and system, and the execution process includes the steps:

S1: Passengers log in to the airline's e-commerce system. The airline's e-commerce system will go to the airline's frequent flyer system to authenticate the passenger login information, and obtain passenger membership information. Passenger membership level information (regular card, silver card, gold card, platinum card) Wait). For example, a passenger's login user name: cengjing, password: XXXXX, after passing the authentication of the frequent flyer system, the information that the passenger is a gold member is obtained.

S2: Frequent flyers select departure city, arrival city, date, one-way or round-trip, number of people and class information through the airline's e-commerce system. The number of people information is divided into adults and children, and the class information is divided into first class, business class, and economy class, and is submitted to the system for ticket query. For example, departure city: Beijing, arrival city: Haikou, itinerary: round trip, date: departure date: 2019-11-03, arrival date: 2019-11-09, number of people: 3 adults, 1 child, class of class: economy class .

S3: The system calls the background tariff query system based on the departure city, arrival city, date, one-way or round-trip, as well as class and number of people in the passenger itinerary submitted by S1. The lowest price of each brand of the conditional flight is returned to the system for passengers to choose. For example, the obtained ticket brand information includes: outbound HU7382-return: HU7281, outbound: HU7382-return: HU7181, outbound: HU7182-return: HU7181. According to the arrival city and the number of passengers in the itinerary, the one-way default stay in the hotel is 2 days, the round-trip is based on the difference between the departure and arrival dates as the number of days of stay, and the number of rooms is calculated according to the number of 2 adults per one room, and the number of children does not occupy the room; according to the passenger membership level Correspondence rules with the hotel star rating. To obtain the hotel star rating information (for example, gold card members, corresponding to the hotel star rating of four or five stars), go to the hotel interface system to query the available hotel information of four and five stars in the arriving city. , the hotel interface will return N available hotel information, including the lowest price for each room type of the hotel; then the system will sort all the returned hotels according to the star rating plus the hotel rating (with the same rating or star rating, the price will be sorted from low to high). ); after the hotels are sorted, the system will filter all sorted hotels according to the hotel filtering rules set by the airline (for example, 20 hotels in total, 8 five-star hotels, and 12 four-star hotels); All the filtered hotels will be combined and packaged in turn, and only the lowest-priced room type of each hotel will be used for packaging; then the packaged products will be discounted according to the package discount rules set by the airline; finally, only the first 10 air tickets and hotels will be recommended for display. Packaged products are available for travelers to choose from and show how much discount each packaged product is.

S4: This step is set by the passenger who wants to view more packaged products. If the passenger submits the reservation in S3, this step will be skipped. It provides passengers with other packaged product inquiries. Passengers can select query criteria such as hotel star rating, rating, and hotel location for more packaged product inquiries and reservation submissions.

S5: Passengers choose the recommended packaged product or make a reservation by querying more packaged products. The system will display the flight itinerary information, hotel information, number of rooms, total packaged price, and how much discount in the selected packaged product. , as well as various taxes and fees for air tickets, etc., after the passenger is confirmed, submit it to the system for subsequent booking process processing operations.

Based on the above-mentioned method for recommending airline ticket and hotel packaging based on frequent flyers, an embodiment of the present invention also provides an air ticket and hotel packaging recommendation device based on frequent airline passengers. The mechanism block diagram of the recommendation device is shown in the figure 3, including:

An acquisition module 201 , a query module 202 , a first screening module 203 , a second screening module 204 and a recommending module 205 .

in,

The obtaining module 201 is configured to obtain the booking information in the booking request and the membership level of the frequent flyer when a ticket booking request of a frequent flyer is received, wherein the booking information includes: origin, destination place, date of departure, number of passengers and class of travel;

The query module 202 is used to query each target flight that satisfies the reservation information;

The first screening module 203 is configured to determine the number of stay days, and filter out each target hotel according to the membership level, the destination, the departure date, the number of travelers and the number of stay days;

The second screening module 204 is configured to combine the respective target flights and the respective target hotels, and filter out the first target combination of a preset number of hotels and air tickets;

The recommending module 205 is configured to recommend the first target combination of the preset number of hotels and air tickets to the frequent flyer.

The invention discloses an air ticket and hotel package recommendation device based on frequent flyers of airlines, which is characterized by comprising: when receiving an air ticket reservation request of a frequent flyer, obtaining the reservation information in the reservation request and the frequent flyer , where the reservation information includes: origin, destination, departure date, number of travelers and class of travel; query each target flight that meets the reservation information; determine the number of days of stay, according to the membership level, The destination, the departure date, the number of travelers and the number of days of stay are selected to screen out each target hotel; the target flight and the target hotel are combined to screen out a preset number of hotels and the first number of air tickets. a target combination; recommending the first target combination of the preset number of hotels and air tickets to the frequent flyer. The above-mentioned device can directly determine the first target combination of a preset number of hotels and air tickets through the reservation information and recommend them to frequent travelers, without the need for repeated input. In the process of booking air tickets and hotels, it is necessary to repeatedly input passenger information and itinerary information, saving savings. Node and ticket reservation time.

In this embodiment of the present invention, the recommending device further includes:

Judgment module 206 and acquisition and addition module 207 .

in,

The judging module 206 is configured to parse the reservation request and determine whether the frequent flyer has reserved a return ticket;

The acquiring and adding module 207 is configured to acquire the return date in the reservation request, and add the return date to the reservation information, if so.

In this embodiment of the present invention, the first screening module 203 includes:

The first screening unit 208 , the query unit 209 and the second screening unit 210 .

in,

The first screening unit 208 is configured to screen out each candidate hotel according to the destination, the departure date, the number of travelers and the number of days staying in the hotel;

The inquiring unit 209 is used to inquire about the allocation ratio of hotel star ratings matching the membership level;

The second screening unit 210 is configured to screen out each target hotel from each candidate hotel according to the hotel star distribution ratio.

In this embodiment of the present invention, the second screening module 204 includes:

Packing unit 211 , computing unit 212 and third screening unit 213 .

in,

The packing unit 211 is used for packing each target flight with each target hotel to obtain a combination of each hotel and air ticket;

The calculating unit 212 is used to calculate the price of each combination of hotel and air ticket;

The third screening unit 213 is configured to screen out the first target combination of a preset number of hotels and air tickets according to each price, wherein the prices of the first target combination of the preset number of hotels and air tickets are all lower than the remaining prices. The price of a combination of hotel and airfare.

The units involved in the embodiments of the present disclosure may be implemented in a software manner, and may also be implemented in a hardware manner. Wherein, the name of the unit does not constitute a limitation of the unit itself under certain circumstances, for example, the first obtaining unit may also be described as "a unit that obtains at least two Internet Protocol addresses".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), Systems on Chips (SOCs), Complex Programmable Logical Devices (CPLDs) and more.

Although the subject matter has been described in language specific to structural features and/or logical acts of method, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Although several implementation-specific details are included in the above discussion, these should not be construed as limitations on the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, and should also cover, without departing from the above-mentioned disclosed concept, the technical solutions formed by the above-mentioned technical features or Other technical solutions formed by any combination of its equivalent features. For example, a technical solution is formed by replacing the above features with the technical features disclosed in the present disclosure (but not limited to) with similar functions.

Claims (10)

1. a kind of air ticket and hotel packing recommendation method based on airline frequent flyer, is characterized in that, comprises: When a ticket reservation request of a frequent flyer is received, the reservation information in the reservation request and the membership level of the frequent flyer are acquired, wherein the reservation information includes: origin, destination, departure date, number of travelers and class of service; Inquire about each target flight that satisfies the reservation information; Determine the number of stay days, and filter out each target hotel according to the membership level, the destination, the departure date, the number of travelers and the number of stay days; Combining the respective target flights and the respective target hotels to screen out the first target combination of a preset number of hotels and air tickets; A first target combination of the preset number of hotels and air tickets is recommended to the frequent flyer. 2. The method of claim 1, further comprising: Parse the reservation request, and determine whether the frequent flyer has reserved a return ticket; If so, obtain the return date in the reservation request, and add the return date to the reservation information. 3. The method according to claim 1, characterized in that, filtering out each hotel according to the membership level, the destination, the departure date, the number of travelers and the number of days of stay, comprising: Screen out each candidate hotel according to the destination, the departure date, the number of travelers and the number of days in the hotel; Query the hotel star allocation ratio that matches the membership level; Each target hotel is screened out from each candidate hotel according to the hotel star distribution ratio. 4. The method according to claim 1 , wherein each target flight and each target hotel are packaged, and a target combination of a preset number of hotels and air tickets is screened, comprising: For each target flight, package it with each target hotel to obtain a combination of each hotel and air ticket; Calculate the price of each said hotel and air ticket combination; A first target combination of a preset number of hotels and air tickets is screened according to each price, wherein the prices of the first target combination of the preset number of hotels and air tickets are all lower than the prices of other combinations of hotels and air tickets. 5. The method of claim 1, further comprising: If it is detected that the frequent flyer does not select the target combination of the preset number of hotels and air tickets, obtain the query conditions of the frequent flyer; Find a second target combination of airfare and hotel that meets the query criteria. 6. An air ticket and hotel packing recommendation device based on frequent flyers of airlines, characterized in that, comprising: The obtaining module is configured to obtain the booking information in the booking request and the membership level of the frequent flyer when receiving the ticket booking request of the frequent flyer, wherein the booking information includes: origin, destination, departure date, number of passengers and class of travel; an inquiry module, used to inquire about each target flight that satisfies the reservation information; The first screening module is used to determine the number of stay days, and filter out each target hotel according to the membership level, the destination, the departure date, the number of travelers and the number of stay days; The second screening module is configured to combine the respective target flights and the respective target hotels, and screen out the first target combination of a preset number of hotels and air tickets; A recommending module, configured to recommend the first target combination of the preset number of hotels and air tickets to the frequent flyer. 7. The apparatus of claim 6, further comprising: a judgment module, used to parse the reservation request, and judge whether the frequent flyer has reserved a return ticket; An acquiring and adding module is configured to, if so, acquire the return date in the reservation request, and add the return date to the reservation information. 8. The apparatus according to claim 6, wherein the first screening module comprises: a first screening unit, configured to screen out each candidate hotel according to the destination, the departure date, the number of travelers and the number of days in the hotel; a query unit, used for querying the hotel star allocation ratio matching the membership level; The second screening unit is configured to screen out each target hotel from each candidate hotel according to the hotel star distribution ratio. 9. The apparatus according to claim 6, wherein the second screening module comprises: a packing unit for packing each target flight with each target hotel to obtain a combination of each hotel and air ticket; a calculation unit for calculating the price of each combination of hotel and air ticket; The third screening unit is configured to screen out a first target combination of a preset number of hotels and air tickets according to each price, wherein the prices of the first target combination of the preset number of hotels and air tickets are all lower than other hotels and air tickets the price of the combination. 10. An airline e-commerce system, characterized in that it includes: a passenger log-in module, a passenger itinerary information input module, a package recommendation module for air tickets and hotels, a module for selecting and viewing more air tickets and hotels, a rule configuration module, and an air ticket and hotel module. The company's e-commerce system data platform, among which, The passenger login module is used for frequent fliers to log in in the airline e-commerce system, pass the airline frequent flier system authentication, and obtain the member information corresponding to the frequent fliers; The passenger itinerary information input module is used for the passenger to purchase a ticket in the airline e-commerce system and input itinerary information for the airline e-commerce system to query the target flight that meets the passenger reservation information; The air ticket and hotel package recommendation module screen out each target hotel according to the membership level and the reservation information, combine the each target flight and each target hotel, and screen out a preset number of hotels and air tickets. a first target combination and recommending the first target combination of the preset number of hotels and air tickets; The option to view more air tickets and hotel packaged product modules is used to provide various query conditions to inquire about hotels, and then package and combine with air tickets and deal with discounts to display more air tickets and hotels that meet the traveler's query conditions. target combination; The rule configuration module is used to configure the rules corresponding to membership levels and hotel star ratings, hotel filtering rules, air tickets and hotel package discount rules; The airline e-commerce system data platform is used to store air ticket brand data, available hotel data, membership, filtering preferential rule data and passenger membership data.

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