CN112633985A

CN112633985A - Information recommendation method, device and storage medium

Info

Publication number: CN112633985A
Application number: CN202011631985.XA
Authority: CN
Inventors: 刘新翠
Original assignee: Tianjin May 8th Home Freight Service Co ltd
Current assignee: Tianjin May 8th Home Freight Service Co ltd
Priority date: 2020-12-31
Filing date: 2020-12-31
Publication date: 2021-04-09

Abstract

The invention discloses an information recommendation method, information recommendation equipment and a storage medium. The method comprises the steps of obtaining identity information and geographical position information of a user; determining a pre-estimated order value according to the identity information and the geographic position information; determining a member package matched with the estimated order value from at least two member packages; and recommending the member package to the user so that the user obtains the maximum estimated profit or estimated benefit. Through the scheme, after the user demands are known, the actual application demands of the user are analyzed according to the identity information and the geographic position information of the user, and then the corresponding member packages are distributed according to the actual application demands of the user, so that a better member package popularization effect is obtained.

Description

Information recommendation method, device and storage medium

Technical Field

The embodiment of the invention relates to the technical field of internet, in particular to an information recommendation method, information recommendation equipment and a storage medium.

Background

With the development of internet technology, it is more and more convenient for service drivers (such as freight drivers) to receive service orders. For example, a customer may directly place an order through a client APP, and a corresponding service driver may receive the order through the client APP.

In actual shipping applications, in order to attract more users to participate in the business, a member package business is usually introduced for drivers and consumers. In the process of member package promotion, the recognition degree of drivers and consumers is low, and the promotion effect is not ideal. Therefore, a member package promotion scheme capable of practically satisfying the practical application requirements of the user is required.

Disclosure of Invention

The embodiment of the invention provides an information recommendation method, information recommendation equipment and a storage medium, which are used for improving the technical scheme of member package promotion based on the actual requirements of a user.

In a first aspect, an embodiment of the present invention provides an information recommendation method, where the method includes:

acquiring identity information and geographical position information of a user;

determining a pre-estimated order value according to the identity information and the geographic position information;

determining a member package matched with the estimated order value from at least two member packages;

and recommending the member package to the user so that the user obtains the maximum estimated profit or estimated benefit.

Optionally, if the identity information of the user is a driver; further comprising: and determining the vehicle type of the driver according to the identity information of the driver.

Optionally, the method further comprises: determining a corresponding business circle according to the geographical position information;

determining order quantity and vehicle driving range according to the business circles and the corresponding service types;

determining the unit price of the city according to the commercial circle and the vehicle type;

and determining the estimated order value according to the order quantity, the vehicle driving range and the city unit price.

Optionally, the determining a member package matching the estimated order value from at least two member packages includes:

acquiring first order value and profit rule respectively corresponding to at least two member packages;

calculating estimated profit of the driver according to the estimated order value and the first order value and the profit rule;

and determining the member package with the maximum predicted profit as the member package matched with the driver.

Optionally, if the identity information of the user is a consumer;

determining a pre-estimated order value according to the identity information and the geographic position information comprises:

determining the type of the goods to be transported of the consumer;

and determining the vehicle using type of the consumer according to the type of the article to be transported.

Optionally, the method further comprises: determining a corresponding city according to the geographical position information;

determining order quantity and vehicle driving range according to the city and the type of the article to be transported;

determining the unit price of the city according to the city and the vehicle type;

acquiring second order values and preferential rules respectively corresponding to at least two member packages;

calculating the consumer estimated discount according to the estimated order value and the second order value and the discount rule;

and determining the member package with the maximum predicted benefit as the member package matched with the consumer.

Optionally, the method further comprises: and if the actual order value obtained by the user is smaller than the estimated order value, returning the actual order value to the user according to the first order value or the second order value.

In a second aspect, an embodiment of the present invention provides an electronic device, including a processor, and a memory, where the memory is configured to store one or more computer instructions, and the one or more computer instructions, when executed by the processor, implement the information recommendation method according to the first aspect.

In a third aspect, embodiments of the present invention provide a computer-readable storage medium storing a computer program, which when executed by one or more processors causes the one or more processors to perform actions comprising:

acquiring identity information and geographical position information of a user;

In the embodiment of the invention, the identity information and the geographic position information of a user are acquired; determining a pre-estimated order value according to the identity information and the geographic position information; determining a member package matched with the estimated order value from at least two member packages; and recommending the member package to the user so that the actual order value obtained by the user is not less than the estimated order value. Through the scheme, after the user demands are known, the actual application demands of the user are analyzed according to the identity information and the geographic position information of the user, and then the corresponding member packages are distributed according to the actual application demands of the user, so that a better member package popularization effect is obtained.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a schematic flowchart of an information recommendation method according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of an information recommendation device according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an electronic device corresponding to the information recommendation apparatus provided in the embodiment of fig. 2.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.

The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a plurality" typically includes at least two.

It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.

With the popularization of internet technology, more and more applications support users to operate through clients. For example, the freight service industry can place an order or receive an order through a mobile phone client. It is easy to understand that the order placing is actively sent to the server by the service demander (i.e. the customer), and the server can know the estimated order value of the user. In addition, as a freight service, i.e. a driver, after the service platform registers or receives the order for a period of time, the estimated order value of the user can be obtained. In order to attract more users to participate in the business, a membership scheme is usually adopted to retain more users. However, in practical applications, users do not recognize member packages very well, that is, few users are willing to purchase member packages in the practical popularization process. Therefore, a technical scheme capable of actually improving the promotion effect of the member package is needed.

Fig. 1 is a schematic flowchart of an information recommendation method provided in an embodiment of the present application, which is applied to a server (e.g., a cloud server or a server cluster) and may also be applied to a local computer, as shown in fig. 1, the method includes the following steps:

101: and acquiring the identity information and the geographic position information of the user.

102: and determining the estimated order value according to the identity information and the geographic position information.

103: determining a member package matching the estimated order value from at least two member packages.

104: and recommending the member package to the user so that the user obtains the maximum estimated profit or estimated benefit.

The user as referred to herein includes a consumer and a driver. If the user is a driver, the identity information here includes: the age, native place, working hours, car type (minivan, van, minivan, etc.), and service rating of the driver are information related to the identity of the user. If the user is a consumer, the identity information here includes: the age, native place, type of car used (pickup truck, van, minivan, etc.), frequency of car usage, etc. of the consumer.

The geographic location information referred to herein may be understood as the geographic location information where the user placed the order, may be understood as the geographic location where the consumer placed the order and is effective, and may be a range. Such as residential areas, certain types of business circles, building malls, etc. Based on geographic location, order quantity, type of goods, etc. may be predicted.

If the user is a consumer, the estimated order value can be understood as the total value of the order that the consumer can generate in a certain period, for example, if the consumer is a building material seller, the number of the orders that can be generated, the type of a common vehicle, the driving range of the vehicle, the unit price of the city, and the like can be estimated according to the surrounding sales condition, and then the estimated order value of the consumer can be comprehensively estimated.

If the user is a driver, the estimated order value as referred to herein may be understood as the total value of the order that the driver can receive during the movement cycle. For example, if the driver is a truck driver, the number of orders that can be received, the vehicle driving range, the city unit price, and the like can be estimated according to the order receiving situation of the same type of drivers in the same geographical position, and then the estimated order value of the driver can be comprehensively estimated.

For ease of understanding, the following is specifically exemplified.

In one or more embodiments of the present application, if the identity information of the user is a driver; further comprising: and determining the vehicle type of the driver according to the identity information of the driver.

It is readily understood that drivers fill in basic information such as, for example, country, age, name, age, vehicle type, etc. when registering at the service platform. Therefore, after the identity information of the driver is acquired, the corresponding vehicle type can be determined. The vehicle cost (for example, different vehicle types have different starting prices and the freight per kilometer) corresponding to different vehicle types is different.

In one or more embodiments of the present application, after determining that the user is a driver, determining a corresponding business turn according to the geographic location information; determining order quantity and vehicle driving range according to the business circles and the corresponding service types; determining the unit price of the city according to the commercial circle and the vehicle type; and determining the estimated order value according to the order quantity, the vehicle driving range and the city unit price.

In practice, a business circle, i.e., the geographical area within which the driver can efficiently handle orders, within which business circle the driver can be dispatched, can be determined approximately according to the effective range of motion of the driver. It should be noted that the size of the business circles can be adjusted according to the order quantity or order density, so that the driver can receive as many orders as possible.

It is easily understood that after determining a business district, the business types included in the business district can be roughly classified, for example, a certain business district includes fruit and vegetable wholesale, building material wholesale, furniture city, etc. The vehicle types, the order quantity and the vehicle driving ranges corresponding to different service types are not completely the same. For example, fruit and vegetable wholesale needs cold chain transportation, and van trucks are required, the order number is relatively stable, and the driving range includes residential areas or various supermarkets.

The determined urban unit prices are different according to different business circles and vehicle types, for example, for fruit and vegetable wholesale business circles, the adopted vehicle is a van-type cold chain truck, and the corresponding starting price ratio is higher. Furthermore, it is easily understood that a city with high consumption capacity (e.g., a first-line city) has a higher unit price than a city with high consumption capacity (e.g., a third-line city).

After the information is obtained in advance, the estimated order value is further calculated according to the order quantity, the vehicle driving range, the city unit price and the like. For example, assume that the driver's nail is 35 years old, the driver's ride is 10 years old, and the vehicle type is a van. Determining the business circle of the driver A as a building material city, predicting the order quantity of the driver 40 and the average vehicle driving range of a single order of 50 kilometers (or the average vehicle driving range of a plurality of orders of other drivers in the same vehicle type of the same business circle or the same vehicle type of the same business circle) in each month (the prediction can be according to the historical order condition of the driver or the order quantity of other drivers in the same vehicle type of the same business circle), and in the city unit price (the city price is comprehensively determined according to the vehicle type and the city), assuming that the starting price of a small van is 50 yuan, and charging 10 yuan per kilometer. Then the average revenue per order can be calculated to be 550 dollars and 22000 dollars for a month.

In one or more embodiments of the present application, the determining a member package matching the estimated order value from at least two member packages includes: acquiring first order value and profit rule respectively corresponding to at least two member packages; calculating estimated profit of the driver according to the estimated order value and the first order value and the profit rule; and determining the member package with the maximum predicted profit as the member package matched with the driver.

In practical applications, each member package has its corresponding subscription value, for example, the monthly subscription value of the general member is 900 yuan, and the monthly subscription value of the banked member is 1800 yuan. It is readily understood that the driver's purchase of a membership package is intended to obtain more profits than if the membership package was not purchased. It should be noted that the estimated profit of the driver is the first subscription value paid by the driver to buy the member package. Further, the estimated profit that the driver can obtain after purchasing various different member packages is assumed to be calculated. And recommending the member package with the maximum predicted profit to the driver in the calculation result as the member package matched with the driver.

For example, assuming that the driver recommends an order within 500 meters of the driver's current location without purchasing any member package, the driver may take 2 or 3 orders on average each day with a monthly profit of 22000 dollars. If the driver purchases a common member and the corresponding first order value is 900 yuan, the driver preferentially recommends orders within 1 kilometer away from the driver according to the profitability rule, and the driver can obtain more than 4 orders every month according to the actual order situation of the business district (assuming that the average income of a single order is 550 yuan), that is, more than 2200 yuan is realized. The cost of eliminating the driver from purchasing the ordinary member is 900 yuan, and the income can be increased to 1300 yuan, namely the estimated profit is 23300 yuan. If the driver purchases a bankcard member, the corresponding first subscription value is 1800 Yuan. The order within 2 kilometers of the driver is preferentially recommended according to the profitability rule, and the driver has the right of returning orders, and according to the actual order situation of the business district, the driver can obtain 5 orders more than every month without purchasing the members of the bank. The cost of removing the drivers from buying the bankcard members is 1800 yuan, and the income can be increased by 950 yuan, namely the estimated profit is 22950 yuan. By contrast, it is more cost effective for the driver to purchase the general members, and therefore, the driver can be preferentially recommended with the general members for selection.

In the technical scheme of the application, the identity information of the user can also be a consumer.

determining the type of the goods to be transported of the consumer;

In practical applications, the consumer referred to herein may be an individual consumer or a merchant consumer. It is easy to understand that the transportation of the individual consumer is usually moving transportation, and the demand of the transportation consumption is less; and the merchant consumers transport the commodities, so that the freight consumption requirements are more. For ease of understanding, the present application will assume that the consumer is a merchant for illustration. Generally, the types of goods sold by merchants are relatively fixed, for example, the merchant selling building materials usually needs to transport goods by using trucks; for example, a merchant selling grain and oil usually needs to transport goods by using a minibus; as another example, a merchant selling chilled meat typically needs to transport the meat using a freezer. Specifically, the size of the vehicle may be selected based on the number of items to be transported.

Specifically, a corresponding city is determined according to the geographic position information; determining order quantity and vehicle driving range according to the city and the type of the article to be transported; determining the unit price of the city according to the city and the vehicle type; and determining the estimated order value according to the order quantity, the vehicle driving range and the city unit price.

According to the order placing position or the registration position of the consumer, the city and the specific business circle of the consumer can be known. If the customer is a person, the corresponding order size may be 5 months and 1 order, the vehicle driving range is about 30 kilometers, the city unit price (assuming a small truck) is 50 yuan, and the charge per kilometer is 10 yuan. Then the average estimated price per time per customer for the individual consumer is 350 yuan, and the average estimated monthly order value is 70 yuan. If the customer is a merchant, the corresponding order amount may be 40 orders per month, the vehicle driving range is about 50 kilometers, the city unit price (assuming a small van) is 50 yuan, and the charge per kilometer is 10 yuan. Then the average estimated price per time per merchant consumer is 550 yuan, and the average estimated monthly order value is 22000 yuan.

Further, the determining a member package matching the estimated order value from at least two member packages includes: and acquiring second order value and preferential rules respectively corresponding to at least two member packages. And calculating the consumer estimated benefit according to the estimated order value and the second order value and the benefit rule. And determining the member package with the maximum predicted benefit as the member package matched with the consumer.

If the second order value purchased by the ordinary member is 30 yuan for the consumer, the valid period is one month, and the preferential rule is 500 yuan for 50 yuan. The second order value of the silver card member is 100 yuan, the validity period is one month, and the preferential rule is 10000 yuan for 300 yuan. The calculation and comparison show that the individual can not obtain the preferential benefit when purchasing any member package, namely the estimated preferential benefit is a negative value, so that the individual consumer is not suitable for any member package; and the merchant consumer is suitable for purchasing the bank membership package, and can obtain the estimated preferential 200 yuan after the second order value is removed.

Before the member package is popularized, the estimation is carried out according to the actual situation of the user, so that the benefit maximization can be realized after the member package is purchased. Therefore, a better member package promotion effect is obtained.

In one or more embodiments of the present application, the method may further include: and if the actual order value obtained by the user is smaller than the estimated order value, returning the actual order value to the user according to the first order value or the second order value.

If the order value actually obtained by the user is found to be smaller than the estimated order value (including the actual profit value obtained by the driver or the preferential value of the consumer) in the process of summarizing at the end of the month, the first order value or the second order value paid by the user for purchasing the member package can be returned for the user, and the preference enjoyed by the user for purchasing the member package can be recovered. Of course, whether to return the subscribed member package may be selected by the user himself.

It should be noted that, when estimating users (including drivers and consumers), the estimation can be performed by referring to the actual situation of other users with higher similarity. Certainly, the recommendation of the member package can also be performed after the user successfully completes the order, so that some order data of the user can be more accurately acquired, for example, the order placing quantity of the user in the last month and the vehicle driving range, the vehicle type or the to-be-transported item type corresponding to each order are acquired.

Based on the embodiment, the identity information and the geographic position information of the user are obtained; determining a pre-estimated order value according to the identity information and the geographic position information; determining a member package matched with the estimated order value from at least two member packages; and recommending the member package to the user so that the actual order value obtained by the user is not less than the estimated order value. Through the scheme, after the user demand is known, the user is the identity information and the geographical position information according to the user, the practical application demand of the user is analyzed, and then the corresponding member package is distributed according to the practical application demand of the user, so that a better member package popularization effect is obtained, and the benefit maximization is realized when the user orders to get the member package.

Based on the same idea, an embodiment of the present application further provides an information recommendation device, where an execution subject of the information recommendation device may be a client of a service driver. Fig. 2 is a schematic structural diagram of an information recommendation apparatus according to an embodiment of the present application. As can be seen from fig. 2, the device comprises:

the obtaining module 21 is configured to obtain identity information and geographic location information of a user.

And the determining module 22 is configured to determine the estimated order value according to the identity information and the geographic location information.

The determining module 22 is further configured to determine a member package matching the estimated order value from at least two member packages.

The recommending module 23 is configured to recommend the member package to the user, so that the actual order value obtained by the user is not less than the estimated order value.

Optionally, if the identity information of the user is a driver. The determining module 22 is further configured to determine a vehicle type of the driver according to the identity information of the driver.

The determining module 22 is further configured to determine a corresponding business circle according to the geographic location information;

The determining module 22 is further configured to determine a member package matching the estimated order value from at least two member packages, including:

Optionally, if the identity information of the user is a consumer. The determining module 22 is further configured to determine a pre-estimated order value according to the identity information and the geographic location information, including: determining the type of the goods to be transported of the consumer; and determining the vehicle using type of the consumer according to the type of the article to be transported.

The determining module 22 is further configured to determine a corresponding city according to the geographic location information;

The determining module 22 is further configured to obtain a second subscription value and a discount rule corresponding to at least two member packages respectively;

Optionally, the method further comprises: and a returning module 24, configured to return the actual order value obtained by the user to the user according to the first order value or the second order value if the actual order value is smaller than the estimated order value.

In a possible design, the structure of the information recommendation apparatus shown in fig. 2 may be implemented as an electronic device, and as shown in fig. 3, the electronic device is a schematic structural diagram of an electronic device corresponding to another information recommendation apparatus provided in the embodiment shown in fig. 2, and the electronic device may include: a processor 31, a memory 32, wherein the memory 32 is used for storing one or more computer instructions, and the one or more computer instructions, when executed by the processor 31, implement the steps performed by the server in the foregoing embodiments.

Optionally, the electronic device may further include a communication interface 33 for communicating with other devices.

In addition, an embodiment of the present invention provides a computer storage medium for storing a computer program, where the computer program enables a client to implement the information recommendation method in the embodiment shown in fig. 2 when the computer program is executed.

Based on the embodiment, the identity information and the geographic position information of the user are obtained; determining a pre-estimated order value according to the identity information and the geographic position information; determining a member package matched with the estimated order value from at least two member packages; and recommending the member package to the user so that the actual order value obtained by the user is not less than the estimated order value. Through the scheme, after the user demand is known, the user is the identity information and the geographical position information according to the user, the practical application demand of the user is analyzed, and then the corresponding member package is distributed according to the practical application demand of the user, so that the benefit maximization is realized when the user orders to take the member package, and a better member package popularization effect is obtained.

The above-described embodiments of the apparatus are merely illustrative, and 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 network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described aspects and portions of the present technology which contribute substantially or in part to the prior art may be embodied in the form of a computer program product, which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including without limitation disk storage, CD-ROM, optical storage, and the like.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable resource updating apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable resource updating apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable resource updating apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable resource updating apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An information recommendation method is applied to a server side, and the method comprises the following steps:

acquiring identity information and geographical position information of a user;

2. The method of claim 1, wherein if the identity information of the user is a driver; further comprising: and determining the vehicle type of the driver according to the identity information of the driver.

3. The method of claim 2, further comprising:

determining a corresponding business circle according to the geographical position information;

4. The method of claim 3, wherein said determining a member package from at least two member packages that matches the projected order value comprises:

5. The method according to claim 1 or 4, wherein if the identity information of the user is a consumer;

determining the type of the goods to be transported of the consumer;

6. The method of claim 5, further comprising:

determining a corresponding city according to the geographical position information;

7. The method of claim 6, wherein determining a member package from at least two member packages that matches the projected order value comprises:

8. The method of claim 7, further comprising:

and if the actual order value obtained by the user is smaller than the estimated order value, returning the actual order value to the user according to the first order value or the second order value.

9. An electronic device, comprising: a processor, a memory for storing one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement the information recommendation method of any of claims 1-8.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by one or more processors, causes the one or more processors to perform acts comprising:

acquiring identity information and geographical position information of a user;