CN112651536A - Method and device for determining delivery address - Google Patents

Method and device for determining delivery address Download PDF

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CN112651536A
CN112651536A CN201910958998.9A CN201910958998A CN112651536A CN 112651536 A CN112651536 A CN 112651536A CN 201910958998 A CN201910958998 A CN 201910958998A CN 112651536 A CN112651536 A CN 112651536A
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address
order
determining
key value
distribution
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杨晚林
刘武鑫
邓丽帅
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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    • G06QINFORMATION 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
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping

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Abstract

The invention discloses a method and a device for determining a distribution address, and relates to the technical field of logistics. One embodiment of the method comprises: acquiring external factors and order information corresponding to order placing time; generating a prediction key value according to the external factor and the order information; and determining a distribution address corresponding to the order according to the predicted key value and a storage mode of a database. The implementation mode solves the technical problems that in the prior art, whether the order address is correct or not cannot be judged, the logistics cost of the order is increased, the time cost is wasted, and the distribution efficiency is low, so that the technical effects of reducing the distribution cost and enabling the distribution to be more efficient are achieved.

Description

Method and device for determining delivery address
Technical Field
The present invention relates to the field of logistics technologies, and in particular, to a method and an apparatus for determining a distribution address.
Background
During the logistics transportation, the receiving address of the user may be more than one, such as: the home address of the user, the company address, the family address of the parent and the parent, and the like, and different commodities need to be sent to different addresses. However, the user forgets to modify the address when placing the order, so that the courier finds that the delivery address on the order is wrong when delivering the order. In the prior art, the order is placed again after the user refuses, so that the order cost is increased.
In the process of implementing the invention, the inventor finds that at least the technical problems of higher logistics cost, time cost waste and low distribution efficiency of orders exist in the prior art.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for determining a delivery address, which can solve the technical problems in the prior art that the logistics cost of an order is increased, the time cost is wasted, and the delivery efficiency is low because whether an order address is correct or not cannot be determined, so as to achieve the technical effects of reducing the delivery cost and enabling the delivery to be more efficient.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method of determining a delivery address, including:
acquiring external factors and order information corresponding to order placing time;
generating a prediction key value according to the external factor and the order information;
and determining a distribution address corresponding to the order according to the predicted key value and a storage mode of a database.
Optionally, the external factor includes: holidays, seasons, activity days, and/or general days.
Optionally, the order information includes: delivery time, whether to invoice, whether to use gift card, and the category of the goods placed this time.
Optionally, generating a predicted key value according to the external factor and the order information includes:
determining the value of the external factor and the order information of each address information maintained by the system corresponding to the order;
and summing the external factors of the orders corresponding to the address information and the values of the order information to generate a prediction key value corresponding to each address information.
Optionally, the calculation method of the external factor or the order information value of the order is as follows:
the calculation mode of the external factor value of the order is as follows: the ratio of the historical orders corresponding to the external factors to all the historical orders corresponding to the addresses for distribution;
the calculation mode of the order information value is as follows: and comparing the historical orders corresponding to the order information with all the historical orders corresponding to the distribution addresses.
Optionally, determining a delivery address corresponding to the order according to the predicted key value and a storage manner of the database includes:
determining a prediction address corresponding to the prediction key value by using a storage mode of the database;
judging whether the predicted address is the same as an order placing address of the order;
if yes, setting the order placing address of the order as the distribution address;
if not, the prediction address is sent to the ordering user side for secondary confirmation, and the address of the secondary confirmation is determined as the distribution address of the order.
Optionally, after determining the delivery address corresponding to the order according to the predicted key value and the storage manner of the database, the method includes:
and updating the external factors, the order information and/or the delivery address of the order to the database for storing the historical orders.
According to another aspect of the embodiments of the present invention, there is provided an apparatus for determining a delivery address, including:
the information acquisition module is used for acquiring external factors and order information corresponding to order placing time;
the prediction key value generation module is used for generating a prediction key value according to the external factor and the order information;
and the distribution address determining module is used for determining a distribution address corresponding to the order according to the predicted key value and the storage mode of the database.
Optionally, the external factor includes: holidays, seasons, activity days, and/or general days.
Optionally, the order information includes: delivery time, whether to invoice, whether to use gift card, and the category of the goods placed this time.
Optionally, generating a predicted key value according to the external factor and the order information includes:
determining the value of the external factor and the order information of each address information corresponding to the order;
and summing the external factors of the orders corresponding to the address information and the values of the order information to generate a prediction key value corresponding to each address information.
Optionally, the calculation method of the external factor or the order information value of the order is as follows:
the calculation mode of the external factor value of the order is as follows: the ratio of the historical orders corresponding to the external factors to all the historical orders corresponding to the addresses for distribution;
the calculation mode of the order information value is as follows: and comparing the historical orders corresponding to the order information with all the historical orders corresponding to the distribution addresses.
Optionally, determining a delivery address corresponding to the order according to the predicted key value and a storage manner of the database includes:
determining a prediction address corresponding to the prediction key value by using a storage mode of the database;
judging whether the predicted address is the same as an order placing address of the order;
if yes, setting the order placing address of the order as the distribution address;
if not, the prediction address is sent to the ordering user side for secondary confirmation, and the address of the secondary confirmation is determined as the distribution address of the order.
Optionally, the method further comprises: an updating module, configured to determine, according to the predicted key value and a storage manner of the database, after the delivery address corresponding to the order is determined:
and updating the external factors, the order information and/or the delivery address of the order to the database for storing the historical orders.
According to another aspect of an embodiment of the present invention, there is provided an electronic device for determining a delivery address, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method for determining a shipping address provided by the present invention.
According to still another aspect of embodiments of the present invention, there is provided a computer-readable medium on which a computer program is stored, the program, when executed by a processor, implementing the method for determining a shipping address provided by the present invention.
One embodiment of the above invention has the following advantages or benefits:
according to the method and the device, whether the order placing address is the same as the predicted address or not is determined by adopting the generated predicted key value, and then the technical means of determining the distribution address is assisted, so that the technical problems that whether the order address is correct or not cannot be judged, the logistics cost of the order is increased, the time cost is wasted, and the distribution efficiency is low in the prior art are solved, and the technical effects that the distribution cost is reduced, and the distribution is more efficient are achieved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram illustrating a main flow of a method for determining a shipping address according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a main flow of a method for determining a shipping address according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the main blocks of an apparatus for determining shipping addresses according to an embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 5 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram illustrating a main flow of a method for determining a delivery address according to an embodiment of the present invention, as shown in fig. 1,
s101, acquiring external factors and order information corresponding to order placing time;
step S102, generating a prediction key value according to the external factor and the order information;
and step S103, determining a delivery address corresponding to the order according to the predicted key value and the storage mode of the database.
According to the method and the device, whether the order placing address is the same as the predicted address or not is determined by adopting the generated predicted key value, and then the technical means of determining the distribution address is assisted, so that the technical problems that whether the order address is correct or not cannot be judged, the logistics cost of the order is increased, the time cost is wasted, and the distribution efficiency is low in the prior art are solved, and the technical effects that the distribution cost is reduced, and the distribution is more efficient are achieved.
Wherein, the external factor includes: holidays, seasons, activity days, and/or general days.
Specifically, the holidays can include, but are not limited to: valentine's day, christmas, spring festival; the activity day may include: double 11, store day, sales promotion day, etc.; the seasons can be divided into spring, summer, autumn and winter.
In generating the predicted key value, one or more external factors may be included for generating the predicted key value.
Wherein, the order information includes but is not limited to one or more of the following: delivery time, whether to invoice, whether to use gift card, and the category of the goods placed this time.
The type of the database may be a non-relational database (NoSQL). The storage mode adopted in the database is key-value, namely, key-value storage mode. Specifically, the value in the present application is the address of the user. That is, a key is determined according to the external factor corresponding to the order and the order information, and the key is used for matching the address information corresponding to the key in the database.
Specifically, the key-value is stored using the storage pattern of NoSQL, as shown in table 1 below:
table 1 storage schema storage table of NoSQL
Figure BDA0002228301410000061
Optionally, generating a predicted key value according to the external factor and the order information includes:
determining the value of the external factor and the order information of each address information corresponding to the order; however, since the external factor and the order information are factors affecting the predicted key value, the technical means for quantifying the external factor and the order information according to the historical data in the optional embodiment of the application can more accurately obtain the predicted key value.
And summing the external factors of the orders corresponding to the address information and the values of the order information to generate a prediction key value corresponding to each address information.
The calculation mode of the external factor or the order information value of the order is as follows:
the calculation mode of the external factor value of the order is as follows: the ratio of the historical orders corresponding to the external factors to all the historical orders corresponding to the addresses for distribution;
the calculation mode of the order information value is as follows: and comparing the historical orders corresponding to the order information with all the historical orders corresponding to the distribution addresses.
Specifically, the calculation mode of the prediction key value is as follows:
for each address n, the value of the external factor is a, the value of the distribution time is b, the value of whether to invoice is c, the value of whether to use the gift card is d, and the value of office supplies is e. By combining the external factors and the order information for the address n, the value of the prediction KEY value corresponding to the address n is KEY ═ a + b + c + d + e.
And for the address with the highest predicted KEY value in the predicted KEY values corresponding to the plurality of addresses, the predicted address calculated according to the order is the address with the highest predicted KEY value.
The following describes in detail a process of generating a predicted key value according to the external factor and the order information, and further generating a predicted address in a specific embodiment. As shown in the following table, the following,
first, certain combination conditions are obtained, including: the external factors are winter, the distribution time is Monday, whether invoicing is yes or not, whether gift cards are used or not and whether ordering commodity categories are office supplies or not;
then, the prediction KEY is generated according to the combination condition.
Specifically, for address1, the value of the prediction KEY is 5;
for address2, the value of the prediction KEY is 3.7;
for address3, the value of the prediction KEY is 1.4;
for address4, the value of the prediction KEY is 0.1;
for address 5, the value of the prediction KEY is 0.03.
Table 2 predicted address generation table
Figure BDA0002228301410000081
Optionally, determining a delivery address corresponding to the order according to the predicted key value and a storage manner of the database includes:
determining a prediction address corresponding to the prediction key value by using a storage mode of a database;
judging whether the predicted address is the same as an order placing address of the order;
if yes, setting the order placing address of the order as the distribution address;
if not, the prediction address is sent to the ordering user side for secondary confirmation, and the address of the secondary confirmation is determined as the distribution address of the order.
In practical application, the user can confirm conveniently through the page of the user side. Specifically, if the page ordering address does not match the predicted address, a corresponding prompt is given on the interface, and the user is asked to confirm the delivery address again.
The overall process of determining the shipping address of the present application is described in detail below in a specific embodiment. Fig. 2 is a schematic diagram illustrating a main flow of a method for determining a delivery address according to an embodiment of the present invention, as shown in fig. 2, including:
s201, obtaining order information of a user;
s202, judging whether the user places an order for the first time; if yes, executing S203 to place an order; if not, executing S204 to acquire historical purchase data of the user, and then executing S205;
s205, judging that the order placing address of the current order is the same as the prediction address; if yes, executing S203 to place an order; if not, executing S206 to send the prediction address to an order placing user end for secondary confirmation, determining the address of the secondary confirmation as the distribution address of the order, and returning to S203 for placing the order.
Wherein, S205, judging that the order placing address of the current order is the same as the prediction address, comprises:
s2051, obtaining a combination condition of the order, specifically, including: the external factors a are Christmas, the distribution time b is saturday, whether an invoice c is issued, whether a gift card d is used, and the order e of the order commodity is a gold and silver ornament;
s2052, determining a value of each factor in the combination condition, specifically including:
address of rental house (address 1): a is 0.1, b is 0.4, c is 0.1, d is 0.1, e is 0.1; parent home address (address 2): a is 0.3, b is 0.1, c is 0.1, d is 0.1, and e is 0.3;
company address (default address on order, address 3): a is 0.1, b is 0.1, c is 0.3, d is 0.1, and e is 0.1;
my brother home address (address 4): a is 0.2, b is 0.2, c is 0.1, d is 0.1, and e is 0.1.
S2052, determining a key value of each address according to the value of each of the above factors, specifically including:
address1=1*0.1+1*0.4+1*0.1+1*0.1+1*0.1=0.8
address2=1*0.3+1*0.1+1*0.1+1*0.1+1*0.3=0.9
address3=1*0.1+1*0.1+1*0.3+1*0.1+1*0.1=0.7
address4=1*0.2+1*0.2+1*0.1+1*0.1+1*0.1=0.7
and S2053, determining whether the order placing address and the predicted address of the current order are the same according to the key values of the addresses.
Optionally, after determining the delivery address corresponding to the order according to the predicted key value and the storage manner of the database, the method includes:
and updating the external factors, the order information and/or the delivery address of the order to the database for storing the historical orders.
Fig. 3 is a schematic diagram of main blocks of an apparatus for determining a delivery address according to an embodiment of the present invention, and provides an apparatus 300 for determining a delivery address, including:
the information acquisition module 301 is configured to acquire an external factor and order information corresponding to an order placing time;
a prediction key value generation module 302, configured to generate a prediction key value according to the external factor and the order information;
and a delivery address determining module 303, configured to determine a delivery address corresponding to the order according to the predicted key value and a storage manner of the database.
FIG. 4 illustrates an exemplary system architecture 400 for a method of determining a dispatch address or a means for determining a dispatch address to which embodiments of the invention may be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 serves as a medium for providing communication links between the terminal devices 401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use terminal devices 401, 402, 403 to interact with a server 405 over a network 404 to receive or send messages or the like. The terminal devices 401, 402, 403 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 401, 402, 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 405 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 401, 402, 403. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the method for determining the delivery address provided by the embodiment of the present invention is generally executed by the server 405, and accordingly, the device for determining the delivery address is generally disposed in the server 405.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a central processing module (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the central processing module (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a sending module, an obtaining module, a determining module, and a first processing module. The names of these modules do not form a limitation on the modules themselves in some cases, and for example, the sending module may also be described as a "module sending a picture acquisition request to a connected server".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise:
acquiring external factors and order information corresponding to order placing time;
generating a prediction key value according to the external factor and the order information;
and determining a distribution address corresponding to the order according to the predicted key value and a storage mode of a database.
According to the technical scheme of the embodiment of the invention, the following beneficial effects can be achieved:
according to the method and the device, whether the order placing address is the same as the predicted address or not is determined by adopting the generated predicted key value, and then the technical means of determining the distribution address is assisted, so that the technical problems that whether the order address is correct or not cannot be judged, the logistics cost of the order is increased, the time cost is wasted, and the distribution efficiency is low in the prior art are solved, and the technical effects that the distribution cost is reduced, and the distribution is more efficient are achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for determining a shipping address, comprising:
acquiring external factors and order information corresponding to order placing time;
generating a prediction key value according to the external factor and the order information;
and determining a distribution address corresponding to the order according to the predicted key value and a storage mode of a database.
2. The method of claim 1, wherein generating a predicted key value according to the ambient factor and the order information comprises:
determining the value of the external factor and the order information of each maintained address information corresponding to the order;
and summing the external factors of the orders corresponding to the address information and the values of the order information to generate a prediction key value corresponding to each address information.
3. The method of claim 2,
the calculation mode of the external factor value of the order is as follows: the ratio of the historical orders corresponding to the external factors to all the historical orders corresponding to the addresses for distribution;
the calculation mode of the order information value is as follows: and comparing the historical orders corresponding to the order information with all the historical orders corresponding to the distribution addresses.
4. The method of claim 1, wherein determining a delivery address corresponding to the order according to the predicted key value and a storage manner of a database comprises:
determining a prediction address corresponding to the prediction key value by using a storage mode of a database;
judging whether the predicted address is the same as an order placing address of the order;
if yes, setting the order placing address of the order as the distribution address;
if not, the prediction address is sent to the ordering user side for secondary confirmation, and the address of the secondary confirmation is determined as the distribution address of the order.
5. The method of claim 1, wherein determining the delivery address corresponding to the order according to the predicted key value and the storage manner of the database comprises:
and updating the external factors, the order information and/or the delivery address of the order to the database for storing the historical orders.
6. The method of claim 5, wherein the ambient factor comprises: holidays, seasons, activity days, and/or general days.
7. The method of claim 5, wherein the order information comprises: delivery time, whether to invoice, whether to use gift card, and the category of the goods placed this time.
8. An apparatus for determining a delivery address, comprising:
the information acquisition module is used for acquiring external factors and order information corresponding to order placing time;
the prediction key value generation module is used for generating a prediction key value according to the external factor and the order information;
and the distribution address determining module is used for determining a distribution address corresponding to the order according to the predicted key value and the storage mode of the database.
9. An electronic device for determining a shipping address, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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