A digital economy new retail business information processing method and system

Abstract

The present invention discloses a method for processing digital economy new retail business information. The method is executed by a user terminal and includes the following steps: receiving information about a first address and information about a second address input by a user; determining whether the distance between the first address and the second address is less than the positioning system resolution limit; if it is determined that the distance between the first address and the second address is less than the positioning system resolution limit, providing a list of address selection methods to the user; receiving the address selection method determined by the user, where the address selection method is selected by the user from the list of address selection methods; based on the address selection method, selecting one address from the first address and the second address without user interaction; and completing the current retail business order using the selected address.

Description

Technical Field

[0001] The present invention relates to the technical field of digital economy, and particularly to a method and system for processing information of new retail business in digital economy. Background Art

[0002] With the development of mobile Internet and smart phones, the new retail industry covering takeaways and online shopping has flourished. Currently, the application programs (APPs) of takeaway platforms and online shopping platforms are relatively homogeneous, and the functions of each APP are generally the same, with only slight differences in the user interface design. At present, the methods for APPs to attract users still mainly include providing discounts, providing high-quality express delivery services, and enriching product categories. Instead, few manufacturers attract users by improving the APP usage experience of users. Summary of the Invention

[0003] To achieve the above object, the present invention provides a method for processing information of new retail business in digital economy. The method is executed by a user terminal and includes:

[0004] Receiving information about a first address and information about a second address input by a user;

[0005] Judging whether the distance between the first address and the second address is less than the positioning system resolution limit;

[0006] If it is judged that the distance between the first address and the second address is less than the positioning system resolution limit, providing a list of address selection methods to the user;

[0007] Receiving the address selection method determined by the user, where the address selection method is selected by the user from the list of address selection methods;

[0008] Based on the address selection method, selecting one address from the first address and the second address without user interaction;

[0009] Completing the current retail business order by using the selected one address.

[0010] In a preferred embodiment, the address selection method is based on the priority of address usage times;

[0011] Among them, based on the address selection method, selecting one address from the first address and the second address without user interaction includes the following steps:

[0012] Obtaining the user usage record;

[0013] Based on the user usage record, obtaining the first number of times the user selects the first address to create a retail business order within a predefined time period;

[0014] Obtain the second number of times that the user selects the second address to create a retail business order within a predefined time period based on the user usage record;

[0015] Determine whether the first number of times is greater than the second number of times;

[0016] If the first number of times is greater than the second number of times, select the first address from the first address and the second address.

[0017] In a preferred embodiment, the address selection method is a method that prioritizes based on time logic relationships;

[0018] Among them, based on the address selection method, selecting an address from the first address and the second address without user interaction includes the following steps:

[0019] Obtain the user usage record;

[0020] Based on the user usage record, determine whether there is a first anchoring time for the first address and a second anchoring time for the second address;

[0021] If there is a first anchoring time for the first address but there is no second anchoring time for the second address, determine whether the current time is the first anchoring time;

[0022] If it is determined that the current time is the first anchoring time, select the first address from the first address and the second address.

[0023] In a preferred embodiment, based on the address selection method, selecting an address from the first address and the second address without user interaction further includes the following steps:

[0024] If there is a first anchoring time for the first address and there is a second anchoring time for the second address, determine whether the first anchoring time coincides with the second anchoring time;

[0025] If the first anchoring time coincides with the second anchoring time, obtain the first associated event associated with the first anchoring time based on the user usage record, and obtain the second associated event associated with the second anchoring time;

[0026] Based on the current retail business order, determine whether the current event occurring at the current time is the first associated event or the second associated event;

[0027] If it is determined that the current event occurring at the current time is the first associated event, select the first address from the first address and the second address.

[0028] In a preferred embodiment, the first associated event includes the type of subject matter of the retail business order, and the second associated event includes the type of subject matter of the retail business order;

[0029] Determining whether the current event occurring at the current time is a first associated event or a second associated event based on the current retail business order includes the following steps:

[0030] Based on the current retail business order, determine whether the type of subject matter of the current retail business order is the same as the type of subject matter of the retail business orders included in the first associated event;

[0031] If it is determined that the type of subject matter of the current retail business order is the same as the type of subject matter of the retail business orders included in the first associated event, then determine that the current event occurring at the current time is the first associated event.

[0032] In a preferred embodiment, the address selection method is based on the priority of event logical relationships;

[0033] Wherein, based on the address selection method, selecting one address from the first address and the second address without user interaction includes the following steps:

[0034] Obtain the user usage record;

[0035] Based on the user usage record, determine whether there is a first pre-event for the first address and a second pre-event for the second address;

[0036] If there is a first pre-event for the first address and a second pre-event for the second address, then determine whether an event identical to one of the first pre-event or the second pre-event occurred before starting to process the current retail business order;

[0037] If it is determined that an event identical to the first pre-event occurred before starting to process the current retail business order, then select the first address from the first address and the second address.

[0038] In a preferred embodiment, the first pre-event includes the movement trajectory of the user before selecting the first address;

[0039] Determining whether an event identical to one of the first pre-event or the second pre-event occurred before starting to process the current retail business order includes the following steps:

[0040] Obtain the user movement trajectory before starting to process the current retail business order;

[0041] Determine whether the user movement trajectory before starting to process the current retail business order is similar to the movement trajectory of the user before selecting the first address included in the first pre-event;

[0042] If the user's movement trajectory before starting to process the current retail business order is similar to the movement trajectory of the user before selecting the first address included in the first pre - event, it is determined that an event identical to the first pre - event occurred before starting to process the current retail business order.

[0043] The present invention provides a digital economy new retail business information processing system, which includes modules for performing the following operations:

[0044] Receiving information about a first address and information about a second address input by the user;

[0045] Judging whether the distance between the first address and the second address is less than the positioning system resolution limit;

[0046] If it is judged that the distance between the first address and the second address is less than the positioning system resolution limit, providing the user with a list of address selection methods;

[0047] Receiving the address selection method determined by the user, where the address selection method is selected by the user from the list of address selection methods;

[0048] Based on the address selection method, selecting one address from the first address and the second address without user interaction;

[0049] Completing the current retail business order using the selected address.

[0050] In a preferred embodiment, the address selection method is based on the priority of address usage times;

[0051] Among them, based on the address selection method, selecting one address from the first address and the second address without user interaction includes the following steps:

[0052] Obtaining the user usage record;

[0053] Based on the user usage record, obtaining the first number of times the user selects the first address to create a retail business order within a predefined time period;

[0054] Based on the user usage record, obtaining the second number of times the user selects the second address to create a retail business order within a predefined time period;

[0055] Judging whether the first number is greater than the second number;

[0056] If the first number is greater than the second number, selecting the first address from the first address and the second address.

[0057] In a preferred embodiment, the address selection method is based on the priority of time logical relationship;

[0058] Wherein, based on the address selection mode, selecting an address from the first address and the second address without user interaction includes the following steps:

[0059] Obtain user usage records;

[0060] Based on the user usage record, determining whether there is a first anchor time for the first address and a second anchor time for the second address;

[0061] If there is a first anchor time for the first address, but there is no second anchor time for the second address, determining whether the current time is the first anchor time;

[0062] If it is determined that the current time is the first anchor time, the first address is selected from the first address and the second address.

[0063] Compared with the prior art, the present invention has the following advantages: the APP in the prior art often automatically fills in the wrong address into the order due to poor positioning accuracy. At this time, if the user does not carefully verify the order information, the order will have an address error. This positioning error is often consistent, and the APP will always fill in the wrong address into the order, which causes a continuous error. The method and system proposed by the present invention are intended to solve this problem. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 is a flow chart of a method according to one embodiment of the present invention.

[0065] Figure 2 It is a schematic diagram of an interface according to an embodiment of the present invention. DETAILED DESCRIPTION

[0066] The specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific implementation modes.

[0067] During the research process, our R & D team found that existing takeout or shopping apps (such as Meituan Takeout for takeout apps and JD.com for shopping apps. The method of the present invention is applicable to all apps in the new retail category, but the following will take takeout apps as an example) generally have the following problems: Existing takeout apps all have the function of automatic address selection and filling. Generally speaking, this function usually requires users to manually enter the address used for the first time (such as company address, home address, etc.). After the user completes an order using this address (or after the user saves this address), the app saves the address. Subsequently, if the user places an order using this app again, the app first locates the user's position through the positioning system. If the user's position located by the positioning system is near one of the addresses saved in the app, the app automatically generates the order destination address. Such apps can generally avoid the operation of users repeating address input and greatly improve the user experience. However, this function still has great defects. For example, Party A may purchase a residence in a certain community for self-occupation and at the same time rent another residence in another building in the same community for Party A's parents to live in. Sometimes Party A orders takeout in the residence for self-occupation, and sometimes may order takeout in the rented residence where his parents are. At this time, the address of Party A's self-occupied residence and the address of the rented residence by Party A are obviously saved in the app. Although the address of Party A's self-occupied residence is different from the address of the rented residence by Party A, due to the insufficient positioning accuracy of the positioning system built into the app (this positioning accuracy is limited by the communication protocol of 5G communication regarding positioning technology, so this accuracy cannot be improved by the manufacturer), no matter whether Party A returns to his self-occupied residence or the rented residence, the app believes that Party A has returned to his self-occupied residence. At this time, even if Party A actually returns to the rented residence, the app will still automatically fill in the address of Party A's self-occupied residence in the order. If Party A does not carefully verify the order information at this time (this kind of error often occurs because Party A's self-occupied residence and the rented residence belong to the same community, so the addresses of the two are bound to be very similar, so errors are often found during the verification process; in addition, many users rely very much on the automatic address generation function, so they lack the basic habit of verifying the address), then the delivery address of the order will be incorrect. Our team also found during the research process that positioning errors often have consistency, that is, as long as Party A is in one of the residences, either the self-occupied residence or the rented residence, the positioning system will always locate Party A's position at the self-occupied residence. In other words, as long as Party A orders takeout in the rented residence, then the app will always fill in the address of the self-occupied residence (that is, the wrong address) in the order, which causes a continuous error.

[0068] In the present invention, the user terminal can be the user's smart phone, tablet computer, wearable device, etc. The user terminal can be connected to the network through communication protocols such as WiFi, LTE, or 5G NR.

[0069] Embodiment 1

[0070] Figure 1 It is a flowchart of a method according to an embodiment of the present invention. As shown in the figure, the method of the present invention includes the following steps:

[0071] Step 1: Receive information about the first address and information about the second address input by the user; those skilled in the art should understand that the user terminal can receive information about the first address and information about the second address at different times. Still taking the previous example, Party A may order food for the first time at his own residence on January 15, 2022. At this time, the user terminal will receive information about the first address. Subsequently, Party A may order food for the first time at his rented residence on March 15, 2022. At this time, the user terminal will receive information about the second address;

[0072] Step 2: Determine whether the distance between the first address and the second address is less than the positioning system resolution limit; in one example, if the user terminal believes that the user is located at the first address through the positioning system whether the user is located at the first address or the second address, then at this time it is considered that the distance between the first address and the second address is less than the positioning system resolution limit. In one example, through our experiments, for a 5G network, this resolution limit is approximately around 100 meters. That is, as long as the straight-line distance between the first address and the second address is less than 100 meters, then whether the user is located at the first address or the second address, the user terminal believes that the user is located at the first address through the positioning system;

[0073] Step 3: If it is determined that the distance between the first address and the second address is less than the positioning system resolution limit, then provide the user with a list of address selection methods; in one example, an example of the user terminal providing the user with a list of address selection methods can be seen in Figure 2 . Such as Figure 2As shown, the user interface of the APP includes a merchant recommendation area. For example, the design of the current Meituan APP can be referred to. The merchant recommendation area displays current popular merchants or limited-time discount activities launched by the APP platform, etc. Below the user interface is a list of multiple merchants. Each merchant list can include the merchant name and promotional pictures of well-known dishes. The merchant list can also embed links. For example, if the user clicks on the first merchant list, the APP can enter the purchase interface of the first merchant. There is a control at the upper right corner of the APP. In one example, the APP provides this control only when the distance between the first address and the second address is less than the resolution limit of the positioning system, which can reduce the complexity of the APP user interface and improve the browsing efficiency of users. After the user clicks on this control, three options are displayed on the user interface, and the user selects the address selection method by clicking on the options. Those skilled in the art should understand that the user interface provides the control and the list of address selection methods to the user only when the user terminal first determines that the distance between the first address and the second address is less than the resolution limit of the positioning system. After that, if the user terminal determines again that the distance between the first address and the second address is less than the resolution limit of the positioning system, the user interface will not repeat providing the control and the list of address selection methods. If the user wishes to change the list of address selection methods subsequently, the user can enter the settings interface of the APP for modification. Embedding multiple function adjustment options in the "Settings" interface is a well-known technology, and the specific implementation method of the present invention will not be elaborated herein.

[0074] Step 4: Receive the address selection method determined by the user, where the address selection method is selected by the user from the list of address selection methods;

[0075] Step 5: Based on the address selection method, without user interaction, select one address from the first address and the second address; Those skilled in the art should understand that in essence, the present invention is still a technology in which the user terminal automatically selects an address and automatically fills in the address in the order. Therefore, in the present invention, the user terminal automatically selects an address and automatically fills in the first address or the second address in the order;

[0076] Step 6: Complete the current retail business order with the selected address.

[0077] Embodiment 2

[0078] In Embodiment 2, the address selection method is based on the priority of address usage times;

[0079] Among them, based on the address selection method, without user interaction, selecting one address from the first address and the second address includes the following steps:

[0080] Obtain user usage records; user usage records may include content such as user historical order information, user movement trajectory information, user portraits, etc. Generally speaking, with the user's authorization, any activities after the user opens the APP can be recorded in the user usage records;

[0081] Based on the user usage records, obtain the first number of times the user selects the first address to create a retail business order within a predefined time period; in one example, the predefined time period can be one month, two months, three months, etc. backward from the current time. If the user has only used the APP for one month, but the predefined time period is three months, then in this case, the user terminal can automatically shorten the predefined time period to one month; those skilled in the art should understand that (taking the predefined time period as one month as an example), the first number of times refers to the total number of times the user uses the first address to create a retail business order within one month backward from the current time (for example, if the current time is April 1, 2022, then within one month backward refers to the one-month period from March 1, 2022, to April 1, 2022). In the present invention, "create" means that the user uses this first address to establish an order and complete the payment for the order;

[0082] Based on the user usage records, obtain the second number of times the user selects the second address to create a retail business order within a predefined time period;

[0083] Judge whether the first number of times is greater than the second number of times; in one example, if the first number of times is the same as the second number of times, the user terminal can randomly select the first address or the second address and remind the user to confirm the address;

[0084] If the first number of times is greater than the second number of times, select the first address from the first address and the second address.

[0085] Embodiment 3

[0086] In Embodiment 3, the address selection method is based on the time logic relationship priority method;

[0087] Among them, based on the address selection method, without user interaction, selecting an address from the first address and the second address includes the following steps:

[0088] Obtain user usage records;

[0089] Based on the user's usage records, determine whether there is a first anchoring time for the first address and a second anchoring time for the second address; in one example, the first anchoring time can be determined based on the time period when the user uses the first address to create a retail business order and the number of times the user uses the first address to create a retail business order within that time period. For example, a certain person A may order takeout in the residential house where he lives (assuming the address of the residential house is the first address) from 7 to 9 pm every Monday to Thursday. And because a certain person A needs to take care of his parents, he may order takeout in the rented house (assuming the address of the rented house is the second address) from 6 to 8 pm every Friday to Sunday. In this case, taking a three-month statistical time limit as an example, if a certain person A uses the first address to create a retail business order 15 times from 7 to 9 pm every Monday to Thursday within three months, then for the first address, 7 to 9 pm every Monday to Thursday is its first anchoring time; for example, if a certain person A uses the second address to create a retail business order 8 times from 6 to 8 pm every Friday to Sunday within three months, then for the second address, 6 to 8 pm every Friday to Sunday is its second anchoring time; but if a certain person A uses the second address to create a retail business order only 1 time from 6 to 8 pm every Friday to Sunday within three months, then for the second address, 6 to 8 pm every Friday to Sunday is not its second anchoring time;

[0090] If there is a first anchoring time for the first address but no second anchoring time for the second address, then determine whether the current time is the first anchoring time; in one example, the current time refers to the time when a certain person A has selected the goods and entered the payment interface. For example, if the current time is 7:30 pm on Tuesday, then the current time is the first anchoring time; it should be noted that this Embodiment 3 is not a technical solution based on big data analysis. Currently, big data analysis needs to comprehensively analyze user information (such as the user's historical transaction records, browsing records, user personal information, etc.) to predict the user's future behavior. This analysis method often cannot correctly select the correct address for the user. For example, for a user with a very regular daily routine, the method described in Embodiment 3 can very well solve the problems of the prior art. If the big data analysis method is used to automatically provide an address for this user, then because a large amount of irrelevant information is also mixed in the big data analysis, the predictability of the address provided by using the big data analysis method at this time is very poor;

[0091] If it is determined that the current time is the first anchoring time, then select the first address from the first address and the second address.

[0092] In a preferred embodiment, based on the address selection method, the steps of selecting an address from the first address and the second address without user interaction further include the following steps:

[0093] If there is a first anchoring time for the first address and a second anchoring time for the second address, then it is determined whether the first anchoring time coincides with the second anchoring time; in an example, for instance, the first anchoring time is from 7 to 9 pm on Mondays to Thursdays every week, and the second anchoring time is from 6 to 8 pm on Wednesdays to Thursdays every week, then the first anchoring time is considered to coincide with the second anchoring time;

[0094] If the first anchoring time coincides with the second anchoring time, then based on the user usage record, a first associated event associated with the first anchoring time is obtained, and a second associated event associated with the second anchoring time is obtained; in the present invention, the first associated event associated with the first anchoring time refers to some or certain information in multiple events used to determine the first anchoring time. Specifically, still continuing the foregoing example, within three months, the number of times a certain Party A uses the first address to create retail business orders from 7 to 9 pm on Mondays to Thursdays every week reaches 15 times. Then these 15 order records are multiple events used to determine the first anchoring time, and some information or certain information in these multiple events constitutes the first associated event;

[0095] Based on the current retail business order, it is determined whether the current event occurring at the current time is the first associated event or the second associated event;

[0096] If it is determined that the current event occurring at the current time is the first associated event, then the first address is selected from the first address and the second address.

[0097] In a preferred embodiment, the first associated event includes the type of subject matter of the retail business order, and the second associated event includes the type of subject matter of the retail business order;

[0098] Determining whether the current event occurring at the current time is the first associated event or the second associated event based on the current retail business order includes the following steps:

[0099] Based on the current retail business order, it is determined whether the type of subject matter of the current retail business order is the same as the type of subject matter of the retail business order included in the first associated event; in an example, the type of subject matter of the retail business order included in the first associated event can be specific dishes such as "Sichuan cuisine", "hot pot", "spicy hot pot" etc., or descriptions of dish attributes such as "low price", etc.; specifically, generally, when a certain Party A orders food alone and when ordering food with his parents, the type of subject matter usually varies greatly. Therefore, this preferred embodiment of the present invention utilizes this feature;

[0100] If it is determined that the type of subject matter of the current retail business order is the same as the type of subject matter of the retail business order included in the first associated event, then it is determined that the current event occurring at the current time is the first associated event.

[0101] Example 4

[0102] In Example 4, the address selection method is based on the priority of event logical relationships;

[0103] Among them, based on the address selection method, selecting an address from the first address and the second address without user interaction includes the following steps:

[0104] Obtain the user usage record;

[0105] Based on the user usage record, determine whether there is a first pre-event for the first address and a second pre-event for the second address;

[0106] If there is a first pre-event for the first address and a second pre-event for the second address, then determine whether an event identical to one of the first pre-event or the second pre-event occurred before starting to process the current retail business order;

[0107] If it is determined that an event identical to the first pre-event occurred before starting to process the current retail business order, then select the first address from the first address and the second address.

[0108] In a preferred embodiment, the first pre-event includes the user's movement trajectory before selecting the first address; in an example, for example, a certain person A has the habit of going to the suburbs for play on weekends, and regardless of whether the time when a certain person A returns to his own residence is noon or evening, a certain person A usually orders meals at his own residence. Then the following judgment can be made: within three months, before using the first address to create a retail business order, a certain person A visited the suburbs. Then the first pre-event for the first address can refer to the movement trajectory that the user visited the suburbs before using the first address to create a retail business order; this first pre-mentioned event has nothing to do with time and only relates to the logical relationship before and after the event occurs;

[0109] Determining whether an event identical to one of the first pre-event or the second pre-event occurred before starting to process the current retail business order includes the following steps:

[0110] Obtain the user's movement trajectory before starting to process the current retail business order; in an example, the user's movement trajectory before starting to process the current retail business order can also be that the user visited the suburbs;

[0111] Determine whether the user's movement trajectory before starting to process the current retail business order is similar to the movement trajectory of the user before selecting the first address included in the first previous event; in one example, the user's movement trajectory before starting to process the current retail business order is that the user visits the suburbs, and the first previous event is also the movement trajectory of the user visiting the suburbs. Then, even if the suburbs visited by the user are not the same location, or even not the same district or county, it can be considered that the user's movement trajectory before starting to process the current retail business order is similar to the movement trajectory of the user before selecting the first address included in the first previous event;

[0112] If the user's movement trajectory before starting to process the current retail business order is similar to the movement trajectory of the user before selecting the first address included in the first previous event, then determine whether the same event as the first previous event occurred before starting to process the current retail business order.

[0113] Embodiment 5

[0114] The present invention provides a digital economy new retail business information processing system, characterized in that the system includes modules for performing the following operations:

[0115] Receive information about the first address and information about the second address input by the user;

[0116] Determine whether the distance between the first address and the second address is less than the positioning system resolution limit;

[0117] If it is determined that the distance between the first address and the second address is less than the positioning system resolution limit, provide the user with a list of address selection methods;

[0118] Receive the address selection method determined by the user, where the address selection method is selected by the user from the list of address selection methods;

[0119] Based on the address selection method, select one address from the first address and the second address without user interaction;

[0120] Complete the current retail business order using the selected address.

[0121] In a preferred embodiment, the address selection method is based on the priority of address usage times;

[0122] Among them, based on the address selection method, selecting one address from the first address and the second address without user interaction includes the following steps:

[0123] Obtain the user usage record;

[0124] Based on the user usage records, obtain the first number of times the user selects the first address to create a retail business order within a predefined time period;

[0125] Based on the user usage records, obtain the second number of times the user selects the second address to create a retail business order within a predefined time period;

[0126] Determine whether the first number is greater than the second number;

[0127] If the first number is greater than the second number, select the first address from the first address and the second address.

[0128] In a preferred embodiment, the address selection method is a method that prioritizes based on time logic relationships;

[0129] Wherein, based on the address selection method, selecting an address from the first address and the second address without user interaction includes the following steps:

[0130] Obtain the user usage records;

[0131] Based on the user usage records, determine whether there is a first anchor time for the first address and a second anchor time for the second address;

[0132] If there is a first anchor time for the first address but no second anchor time for the second address, determine whether the current time is the first anchor time;

[0133] If it is determined that the current time is the first anchor time, select the first address from the first address and the second address.

[0134] The foregoing description of the specific exemplary embodiments of the present invention is for the purposes of illustration and exemplification. These descriptions are not intended to limit the present invention to the precise forms disclosed, and it is obvious that many changes and variations are possible in light of the above teachings. The purpose of selecting and describing the exemplary embodiments is to explain the specific principles of the present invention and its practical applications, so that those skilled in the art can implement and utilize the various different exemplary embodiments of the present invention as well as various different selections and changes. The scope of the present invention is intended to be defined by the claims and their equivalents.

Claims

1. A method for processing new retail business information in the digital economy, characterized in that, the method is executed by a user terminal, and the method includes: Receiving information about a first address and information about a second address input by the user; Judging whether the distance between the first address and the second address is less than the positioning system resolution limit; If it is judged that the distance between the first address and the second address is less than the positioning system resolution limit, a list of address selection methods is provided to the user, wherein the address selection methods include a method based on the priority of address usage times, a method based on the priority of time logic relationship, and a method based on the priority of event logic relationship; Receiving the address selection method determined by the user, wherein the address selection method is selected by the user from the list of address selection methods; Based on the address selection method, without user interaction, select one address from the first address and the second address; automatically select one address by the user terminal and automatically fill in the first address or the second address in the order; Complete the current retail business order using the selected one address, When the address selection method is a method based on the priority of address usage times, based on the address selection method, without user interaction, selecting one address from the first address and the second address includes the following steps: Obtain the user usage record; Based on the user usage record, obtain the first number of times the user selects the first address to create a retail business order within a predefined time period; Based on the user usage record, obtain the second number of times the user selects the second address to create a retail business order within a predefined time period; Judge whether the first number of times is greater than the second number of times; If the first number of times is greater than the second number of times, select the first address from the first address and the second address.

2. The method according to claim 1, characterized in that, When the address selection method is a method based on the priority of time logic relationship, based on the address selection method, without user interaction, selecting one address from the first address and the second address includes the following steps: Obtain the user usage record; Based on the user usage record, judge whether there is a first anchoring time for the first address and a second anchoring time for the second address; If there is a first anchoring time for the first address but no second anchoring time for the second address, judge whether the current time is the first anchoring time; If it is judged that the current time is the first anchoring time, select the first address from the first address and the second address.

3. The method according to claim 2, characterized in that, Based on the address selection method, without user interaction, selecting one address from the first address and the second address further includes the following steps: If there is a first anchoring time for the first address and a second anchoring time for the second address, judge whether the first anchoring time coincides with the second anchoring time; If the first anchoring time coincides with the second anchoring time, obtain a first associated event associated with the first anchoring time based on the user usage record, and obtain a second associated event associated with the second anchoring time; Based on the current retail business order, determine whether the current event occurring at the current time is the first associated event or the second associated event; If it is determined that the current event occurring at the current time is the first associated event, select the first address from the first address and the second address.

4. The method according to claim 3, wherein, the first associated event includes the type of subject matter of the retail business order, and the second associated event includes the type of subject matter of the retail business order; Determining whether the current event occurring at the current time is the first associated event or the second associated event based on the current retail business order includes the following steps: Based on the current retail business order, determine whether the type of subject matter of the current retail business order is the same as the type of subject matter of the retail business order included in the first associated event; If it is determined that the type of subject matter of the current retail business order is the same as the type of subject matter of the retail business order included in the first associated event, determine that the current event occurring at the current time is the first associated event.

5. The method according to claim 1, wherein, When the address selection method is a method that prioritizes event logical relationships, based on the address selection method, selecting an address from the first address and the second address without user interaction includes the following steps: Obtain the user usage record; Based on the user usage record, determine whether there is a first pre-event for the first address and a second pre-event for the second address; If there is a first pre-event for the first address and a second pre-event for the second address, determine whether an event identical to one of the first pre-event or the second pre-event occurred before starting to process the current retail business order; If it is determined that an event identical to the first pre-event occurred before starting to process the current retail business order, select the first address from the first address and the second address.

6. The method according to claim 5, wherein, the first pre-event includes the movement trajectory of the user before selecting the first address; Determining whether an event identical to one of the first pre-event or the second pre-event occurred before starting to process the current retail business order includes the following steps: Obtain the user movement trajectory before starting to process the current retail business order; Determine whether the user movement trajectory before starting to process the current retail business order is similar to the movement trajectory of the user before selecting the first address included in the first pre-event; If the user's movement trajectory before starting to process the current retail business order is similar to the movement trajectory of the user before selecting the first address included in the first previous event, it is determined that an event identical to the first previous event has occurred before starting to process the current retail business order.

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