CN115311050A - Ticket product recommendation method and device - Google Patents

Ticket product recommendation method and device Download PDF

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Publication number
CN115311050A
CN115311050A CN202210945011.1A CN202210945011A CN115311050A CN 115311050 A CN115311050 A CN 115311050A CN 202210945011 A CN202210945011 A CN 202210945011A CN 115311050 A CN115311050 A CN 115311050A
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China
Prior art keywords
target
ticket
historical
products
target object
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CN202210945011.1A
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Chinese (zh)
Inventor
帅国营
张坤
史楠
孟怡声
张钦
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Beijing Rail Transport Roa Network Management Co ltd
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Beijing Rail Transport Roa Network Management Co ltd
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Priority to CN202210945011.1A priority Critical patent/CN115311050A/en
Publication of CN115311050A publication Critical patent/CN115311050A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • G06Q50/40—

Abstract

The application discloses a ticket product recommendation method and device. Wherein, the method comprises the following steps: acquiring historical target travel information of a target object in a preset time period; determining a target ticket product matched with the target historical travel information, wherein the target ticket product is used for paying the travel cost of the target object; and recommending the target ticket product to the target object. The technical problem that the travel cost of a passenger is higher due to the fact that the passenger only uses fixed ticketing products in the travel process is solved.

Description

Ticket product recommendation method and device
Technical Field
The application relates to the technical field of rail transit, in particular to a ticket product recommendation method and device.
Background
In the urban rail transit development process, various ticket products are provided for passenger travel consumption, for example, bus cards, promissory tickets, counting tickets and the like, and in the face of various ticket products, a passenger cannot select one ticket product suitable for traveling per se, so that the traveling cost is high.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the application provides a recommendation method and device for ticket products, and the method and device at least solve the technical problem that a passenger only uses fixed ticket products in a travel process to cause higher travel cost.
According to an aspect of an embodiment of the present application, there is provided a ticket product recommendation method including: acquiring historical target travel information of a target object in a preset time period; determining a target ticket product matched with the target historical travel information, wherein the target ticket product is used for paying the travel cost of the target object; and recommending the target ticket product to the target object.
Optionally, the cloud database obtains historical target travel information of the target object within a preset time period, wherein the historical travel information of a plurality of objects is stored in the cloud database, and the historical travel information at least includes one of the following: historical trip time, historical trip route, historical trip mode, historical trip mileage, historical trip expense and historical trip number of times.
Optionally, the target ticketing product includes at least one of: the first class of ticketing products correspond to a first use time period, a first trip route, a first vehicle and a first use frequency, wherein if the target object takes the first vehicle on the first trip route in the first use time period, the first use frequency is deducted once every time the first class of ticketing products are used; the second type of ticket products correspond to a second use time period, a second trip route and a second vehicle, wherein if the target object takes the second vehicle on the second trip route in the second use time period and uses the second type of ticket products, the travel cost is not calculated; and the third type of ticket products correspond to a third vehicle, wherein if the target object takes the third vehicle and uses the third type of ticket products, the travel cost is calculated based on the travel mileage of the target object.
Optionally, when the historical travel route of the target object is a subset of the first travel route, the historical travel mode is matched with the first vehicle, and the sum of the historical travel fees in the first usage period exceeds the price of the first type of ticket product, the target ticket product is determined to be the first type of ticket product.
Optionally, when the historical travel route of the target object is a subset of the second travel route, the historical travel mode is matched with the second vehicle, the historical travel times in the second use time period exceed the first threshold, and the sum of the historical travel fees in the second use time period exceeds the price of the second type of ticketing products, the target ticketing products are determined to be the second type of ticketing products.
Optionally, when the historical travel mode of the target object is matched with the third vehicle and the sum of the historical travel mileage is smaller than a second threshold value, the target ticketing product is determined to be a third class ticketing product.
Optionally, recommendation information is sent to the mobile terminal of the target object, and the recommendation information is used for recommending the target ticketing product to the target object.
According to another aspect of the embodiments of the present application, there is also provided a ticket product recommendation apparatus, including: the acquisition module is used for acquiring historical target travel information of a target object within a preset time period; the determining module is used for determining a target ticket product matched with the target historical travel information, and the target ticket product is used for paying the travel cost of the target object; and the recommending module is used for recommending the target ticket product to the target object.
According to another aspect of the embodiment of the application, a nonvolatile storage medium is further provided, and the nonvolatile storage medium includes a stored program, wherein when the program runs, a device where the nonvolatile storage medium is located is controlled to execute the ticket product recommendation method.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including: a memory having a computer program stored therein and a processor configured to execute the above-mentioned ticket product recommendation method by the computer program.
In the embodiment of the application, the target historical travel information of a target object in a preset time period is obtained, the target ticket product matched with the target object is determined according to the target historical travel information, and then the target ticket product is recommended to the target object, wherein the ticket use habits and the routes of all people are analyzed according to the historical travel data, the corresponding target ticket product is recommended to the target object, and the technical problem that the travel cost of a passenger is high due to the fact that the passenger only uses fixed ticket products in the travel process can be solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of a ticketing product recommendation method according to an embodiment of the present application;
fig. 2 is a schematic diagram of a ticketing product recommendation device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to an embodiment of the present application, there is provided a method for recommending ticket products, it should be noted that the steps illustrated in the flowchart of the drawings may be executed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be executed in an order different from that shown.
Fig. 1 is a schematic flow chart of an alternative ticket product recommendation method according to an embodiment of the present application, as shown in fig. 1, the method at least includes steps S102-S106, where:
step S102, obtaining target historical travel information of the target object in a preset time period.
In some optional embodiments of the present application, historical target travel information of a target object in a preset time period may be obtained, where the cloud database stores historical travel information of a plurality of objects, and the historical travel information at least includes one of the following: historical trip time, historical trip route, historical trip mode, historical trip mileage, historical trip expense and historical trip number of times.
The cloud database can be a database of an urban rail transit system center.
Generally, an urban rail transit system comprises a plurality of official ticketing channels, passengers can purchase tickets through the official ticketing channels, and at the moment, historical travel information of all passengers can be synchronously stored on the rail transit system, and the method specifically comprises the following steps: the method comprises the following steps that passenger identity information, trip date, trip time, trip route, trip station, ticket type of a riding voucher, medium of a riding voucher, riding time, riding mileage, payment amount, trip times and the like are generated in a rail transit system according to one or more items of the riding trip information, and the contents of the passenger, such as time and place for the passenger to sit in the rail transit system, the passenger to go in and out of the station by using the ticket type, total trip cost, average cost and the like are described in detail.
In order to ensure that the historical trip information of the target object acquired from the cloud database is more comprehensive, and the acquired historical trip information of a plurality of objects does not occupy a large amount of storage space, in the embodiment of the application, the preset time is selected to be two months, the cloud database can update and store the historical trip information of the target object in real time, the preset time is not limited at all, and the historical trip information can be set as required during actual application.
And step S104, determining a target ticket product matched with the target historical travel information, wherein the target ticket product is used for paying the travel cost of the target object.
The target ticket products can be specifically divided into a first ticket product, a second ticket product and a third ticket product according to the riding ticket type information of the urban rail transit system, wherein:
the first type of ticket products correspond to a first use time period, a first trip route, a first vehicle and a first use frequency, wherein if the target object takes the first vehicle on the first trip route in the first use time period, the use frequency is deducted once when the first type of ticket products are used.
And the second type of ticket products correspond to a second use time period, a second trip route and a second vehicle, wherein if the target object takes the second vehicle on the second trip route in the second use time period and uses the second type of ticket products, the travel cost is not calculated.
And the third type of ticket products correspond to a third vehicle, wherein if the target object takes the third vehicle and uses the third type of ticket products, the travel cost is calculated based on the travel mileage of the target object.
Each type of ticket product has a type of transportation means, and specifically may include at least one of a light rail, a subway, a bus, and the like, and the first transportation means, the second transportation means, and the third transportation means may be the same or different.
The first type of ticket products can be called as counting type products, the second type of ticket products can be called as regular type products, the third type of ticket products can be called as wallet type products, and the specific fee deduction mode of each ticket product is as follows:
the counting type products have corresponding time limit, travel route limit, vehicle type limit and use time limit. That is, in the corresponding effective usage time range, the passengers need to use the specified vehicles in the specified usage lines, the usage times are deducted once each time the passengers take the vehicles, and the counting type products have the advantages of no limitation of the riding time length and the riding mileage. The counting products can be electronic counting tickets or counting commemorative tickets, such as 15-day 10-time electronic counting tickets, 30-day 30-time electronic counting tickets and the like, and the specific counting times and the valid period system can be used for selecting and purchasing corresponding products according to the requirements of passengers. If the passenger buys the electronic counting ticket 60 times in 30 days, the balance in the card is deducted after the card is swiped once every time the passenger takes a bus, the getting-off place is determined by the passenger, and the taking time and the taking mileage of the passenger are not limited.
Regular product classes have corresponding time limits, route limits, and vehicle limits. That is, in the corresponding effective use time range, the passenger can use the product in the specified use line for unlimited times, and the regular products have the advantages of no limitation of the riding time length and the riding mileage. The regular products can be regular commemorative tickets, such as a one-day ticket, a two-day ticket, a three-day ticket, a five-day ticket and a seven-day ticket, and the corresponding regular products can be selected according to the requirements of passengers. If the passenger buys the day ticket, the product can be used for unlimited times within 24 hours from the successful purchase, and the day ticket is not charged when the passenger goes in and out of the station.
According to the railway transportation distance-measuring time-limit ticket system, the riding cost is calculated according to the transportation means used by the passenger and the corresponding operating mileage, and the fare is not covered on the price, namely the passenger takes the railway transportation means once to calculate the cost according to the mileage. Generally, when passengers use one-card cards, intercommunication cards or scan riding two-dimensional codes to pass through a brake, the passengers can enjoy an urban rail transit point accumulation preferential policy, and the point accumulation preferential policy is applicable to all rail transit lines except airport lines and suburb railways. In addition, when passengers who go out by using the one-card or intercommunication card stand for entering at a specified 24-seat bus before 7.
In some optional embodiments of the present application, the most suitable ticketing product may be recommended to the target object according to the historical travel information of the target user by the following rules, where:
and when the historical travel route of the target object is a subset of the first travel route, the historical travel mode is matched with the first vehicle, and the sum of the historical travel expenses in the first use time period exceeds the price of the first type of ticket products, determining that the target ticket products are the first type of ticket products.
For example, when the travel route of the passenger is a route which can be used by the regular products, if the total payment amount is larger than N day ticket prices and the average daily travel number is larger than 2 in N consecutive days (N is less than or equal to 7), the regular products can be recommended to the passenger. The regular products can be day tickets or two-day tickets, and the regular products of corresponding types can be recommended to passengers by referring to the following rules: when the trip route of the passenger is a route which can be used by regular products, if the daily payment amount of the passenger is more than the daily ticket price and the number of the sunrise times is more than 2, or if the total payment amount of the passenger is more than N daily ticket prices and the average daily trip time is more than 2 in continuous 3 days, 5 days or 7 days, the passenger is recommended a daily ticket; continuously for 2 days, if the total payment amount is larger than two day tickets and the average daily trip time is larger than 2 times, recommending the two day tickets to the passengers; and if the daily payment amount of the passenger is larger than the price of the one-day ticket and the daily travel times are larger than 2 times continuously for 2 days, simultaneously recommending the one-day ticket and the two-day ticket to the passenger.
And when the historical travel route of the target object is a subset of the second travel route, the historical travel mode is matched with the second vehicle, the historical travel times in the second use time period exceed a first threshold value, and the sum of the historical travel expenses in the second use time period exceeds the price of the second type of ticket products, determining that the target ticket products are the second type of ticket products.
For example, when the travel route of the passenger is the route which can be used by the counting type products, and in a natural month, when the total monthly travel consumption payment amount of the passenger is larger than the fare of the counting type products, the counting type products can be recommended to the user. Generally, the counting products are divided into several different counting tickets according to the fare and the use times, the number of times of purchasing the counting products is limited every month, and the counting ticket of a certain gear can only be purchased once every month, in the use process of a passenger, the balance in the card is correspondingly reduced once every time the passenger takes a vehicle, and if the counting ticket of a certain gear is used in a natural month, the passenger can select to purchase the counting products of other gears again according to the needs.
And when the historical travel mode of the target object is matched with the third vehicle and the sum of the historical travel mileage is smaller than a second threshold value, determining that the target ticket product is a third class ticket product.
Because the wallet type products are charged according to the operating mileage, the fare of the wallet type products is not covered, and the wallet type products are not cost-effective when the trip mileage of the passenger is large, a threshold value can be set according to the sum of the historical trip mileage of the passenger, the threshold value is guaranteed to be within a certain mileage range, the wallet type products are more cost-effective to use, and namely, when the sum of the historical trip mileage is smaller than a preset second threshold value, the wallet type products can be recommended to the passenger.
And step S106, recommending the target ticket product to the target object.
In some optional embodiments of the present application, recommendation information is sent to the mobile terminal of the target object, and the recommendation information is used for recommending the target ticketing product to the target object.
Specifically, after a target ticketing product matched with the target historical travel information is determined, recommendation information is sent to a mobile terminal of a target object through a rail transit system, so as to recommend the most suitable ticketing product to the target object, wherein the mobile terminal can be a mobile phone of a passenger, a smart watch and the like.
It should be noted that the first category of ticketing products can be used in combination with the second category of ticketing products, the third category of ticketing products can be used only alone, and the third category of ticketing products can be superimposed with low peak offers and point accumulation offers.
In the embodiment of the application, the target historical travel information of a target object in a preset time period is obtained, the target ticket product matched with the target object is determined according to the target historical travel information, and then the target ticket product is recommended to the target object, wherein the ticket use habits and the routes of all people are analyzed according to the historical travel data, the corresponding target ticket product is recommended to the target object, and the technical problem that the travel cost of a passenger is high due to the fact that the passenger only uses fixed ticket products in the travel process can be solved.
Example 2
According to an embodiment of the present application, there is further provided a ticketing product recommendation apparatus for implementing the above ticketing product recommendation method, as shown in fig. 2, the apparatus at least includes an obtaining module 21, a determining module 22 and a recommending module 23, where:
the obtaining module 21 is configured to obtain historical target trip information of the target object in a preset time period.
The acquisition module can acquire historical target travel information of a target object in a preset time period, wherein the historical travel information of a plurality of objects is stored in the cloud database, and the historical travel information at least comprises one of the following information: historical trip time, historical trip route, historical trip mode, historical trip mileage, historical trip expense and historical trip number of times.
The cloud database can be a database of an urban rail transit system center.
A determining module 22, configured to determine a target ticketing product matched with the target historical travel information, where the target ticketing product is used to pay the travel cost of the target object;
the target ticket products can be specifically divided into a first ticket product, a second ticket product and a third ticket product according to the riding ticket type information of the urban rail transit system, wherein:
the first type of ticket products correspond to a first use time period, a first trip route, a first vehicle and a first use frequency, wherein if the target object takes the first vehicle on the first trip route in the first use time period, the use frequency of the target object is deducted once when the target object uses the first type of ticket products.
And the second type of ticket products correspond to a second use time period, a second trip route and a second vehicle, wherein if the target object takes the second vehicle on the second trip route in the second use time period and uses the second type of ticket products, the travel cost is not calculated.
And the third type of ticket products correspond to a third vehicle, wherein if the target object takes the third vehicle and uses the third type of ticket products, the travel cost is calculated based on the travel mileage of the target object.
Each type of ticket product has a type of transportation means, and specifically may include at least one of a light rail, a subway, a bus, and the like, and the first transportation means, the second transportation means, and the third transportation means may be the same or different.
The determining module determines the target ticket products matched with the target historical travel information according to the following rules:
and when the historical travel route of the target object is a subset of the first travel route, the historical travel mode is matched with the first vehicle, and the sum of the historical travel expenses in the first use time period exceeds the price of the first type of ticket products, determining that the target ticket products are the first type of ticket products.
And when the historical travel route of the target object is a subset of the second travel route, the historical travel mode is matched with the second vehicle, the historical travel times in the second use time period exceed a first threshold value, and the sum of the historical travel expenses in the second use time period exceeds the price of the second type of ticket products, determining that the target ticket products are the second type of ticket products.
And when the historical travel mode of the target object is matched with the third vehicle and the sum of the historical travel mileage is smaller than a second threshold value, determining that the target ticket product is a third class ticket product.
And the recommending module 23 is used for recommending the target ticket product to the target object.
And the recommending module sends recommending information to a mobile terminal of a target object, wherein the recommending information is used for recommending the target ticket business product to the target object.
Specifically, after a target ticketing product matched with the target historical travel information is determined, recommendation information is sent to a mobile terminal of a target object through a rail transit system, so as to recommend the most suitable ticketing product to the target object, wherein the mobile terminal can be a mobile phone of a passenger, a smart watch and the like.
It should be noted that the first category of ticketing products can be used in combination with the second category of ticketing products, the third category of ticketing products can be used only alone, and the third category of ticketing products can be superimposed with low peak offers and point accumulation offers.
It should be noted that, in the embodiment of the present application, each module in the ticketing product recommendation apparatus corresponds to each implementation step of the ticketing product recommendation method in embodiment 1 in a one-to-one manner, and since the detailed description is already performed in embodiment 1, details that are not partially represented in this embodiment may refer to embodiment 1, and are not described herein again.
Example 3
According to an embodiment of the present application, there is also provided a nonvolatile storage medium including a stored program, wherein, when the program is executed, a device in which the nonvolatile storage medium is located is controlled to execute the ticket product recommendation method in embodiment 1.
Optionally, the apparatus in which the non-volatile storage medium is controlled when the program is running executes the following steps: acquiring historical target travel information of a target object in a preset time period; determining a target ticket product matched with the target historical travel information, wherein the target ticket product is used for paying the travel cost of the target object; and recommending the target ticket product to the target object.
According to an embodiment of the present application, there is also provided a processor configured to execute a program, where the program executes the ticket product recommendation method in embodiment 1.
Optionally, the program executes when executing the following steps: acquiring historical target travel information of a target object in a preset time period; determining a target ticket product matched with the target historical travel information, wherein the target ticket product is used for paying the travel cost of the target object; and recommending the target ticket product to the target object.
According to an embodiment of the present application, there is also provided an electronic device, including: a memory having a computer program stored therein and a processor configured to execute the above-mentioned ticket product recommendation method by the computer program.
Optionally, the program executes when executing the following steps: acquiring historical target travel information of a target object in a preset time period; determining a target ticket product matched with the target historical travel information, wherein the target ticket product is used for paying the travel cost of the target object; and recommending the target ticket product to the target object.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit may be a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims (10)

1. A method for recommending ticketing products, comprising:
acquiring historical target travel information of a target object in a preset time period;
determining a target ticket product matched with the target historical travel information, wherein the target ticket product is used for paying the travel cost of the target object;
and recommending the target ticket product to the target object.
2. The method according to claim 1, wherein the obtaining of the target historical travel information of the target object within a preset time period comprises:
obtaining target historical trip information of a target object in a preset time period from a cloud database, wherein the historical trip information of a plurality of objects is stored in the cloud database, and the historical trip information at least comprises one of the following information: historical trip time, historical trip route, historical trip mode, historical trip mileage, historical trip expense and historical trip number of times.
3. The method of claim 2, wherein the target ticketing product includes at least one of:
the first class of ticketing products correspond to a first use time period, a first trip route, a first vehicle and a first use frequency, wherein if the target object takes the first vehicle on the first trip route in the first use time period, the first use frequency is deducted once every time the first class of ticketing products are used;
the second type of ticket products correspond to a second use time period, a second trip route and a second vehicle, wherein if the target object takes the second vehicle on the second trip route in the second use time period and uses the second type of ticket products, the travel cost is not calculated;
and the third type of ticket products correspond to a third vehicle, wherein if the target object takes the third vehicle and uses the third type of ticket products, the travel cost is calculated based on the travel mileage of the target object.
4. The method of claim 3, wherein determining the target ticketing products that match the target historical travel information comprises:
and when the historical travel route of the target object is a subset of the first travel route, the historical travel mode is matched with the first vehicle, and the sum of the historical travel expenses in the first use time period exceeds the price of the first type of ticket products, determining that the target ticket products are the first type of ticket products.
5. The method of claim 3, wherein determining the target ticketing products that match the target historical travel information comprises:
and when the historical travel route of the target object is a subset of the second travel route, the historical travel mode is matched with the second transportation means, the historical travel times in the second use time period exceed a first threshold value, and the sum of the historical travel expenses in the second use time period exceeds the price of the second type of ticket products, determining that the target ticket products are the second type of ticket products.
6. The method of claim 3, wherein determining the target ticketing products that match the target historical travel information comprises:
and when the historical travel mode of the target object is matched with the third vehicle and the sum of the historical travel mileage is smaller than a second threshold value, determining that the target ticket product is a third class ticket product.
7. The method of claim 1, wherein recommending the target ticket product to the target object comprises:
and sending recommendation information to the mobile terminal of the target object, wherein the recommendation information is used for recommending the target ticket products to the target object.
8. A ticketing product recommendation device, comprising:
the acquisition module is used for acquiring historical target travel information of a target object within a preset time period;
the determining module is used for determining a target ticket product matched with the target historical travel information, and the target ticket product is used for paying the travel cost of the target object;
and the recommending module is used for recommending the target ticket product to the target object.
9. A non-volatile storage medium, characterized in that the non-volatile storage medium comprises a stored program, wherein the device on which the non-volatile storage medium is located is controlled to perform the ticket product recommendation method of any one of claims 1 to 7 when the program is run.
10. An electronic device, comprising: a memory having a computer program stored therein and a processor configured to execute the ticket product recommendation method of any one of claims 1 to 7 by means of the computer program.
CN202210945011.1A 2022-08-08 2022-08-08 Ticket product recommendation method and device Pending CN115311050A (en)

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