CN106790522B - Object recommendation method and device and e-commerce platform server - Google Patents
Object recommendation method and device and e-commerce platform server Download PDFInfo
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- CN106790522B CN106790522B CN201611182242.2A CN201611182242A CN106790522B CN 106790522 B CN106790522 B CN 106790522B CN 201611182242 A CN201611182242 A CN 201611182242A CN 106790522 B CN106790522 B CN 106790522B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Abstract
The disclosure relates to an object recommendation method and device and an e-commerce platform server. The method comprises the following steps: judging whether the current object to be acquired of the user is matched with a preset object set or not; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different; and if so, determining a first recommended object according to the object to be acquired, the geographical position of the user and the object set, wherein the distance between the first warehousing position of the first recommended object and the geographical position of the user is smaller than a first distance threshold. According to the embodiment, the object recommended to the user by the e-commerce platform is the object closest to the user, so that the distribution time of the first recommended object reaching the geographical position of the user is greatly shortened, the waiting time of the user is saved, and the user experience is improved.
Description
Technical Field
The present disclosure relates to communications technologies, and in particular, to an object recommendation method and apparatus, and an e-commerce platform server.
Background
With the rapid development of the mobile internet, the demand of electronic commerce is increasing, and more people choose to use the e-commerce platform to purchase corresponding goods and services. The user can log in corresponding e-commerce application software for purchase, the application software calculates the articles which are possibly interested by the user according to keywords of the articles searched by the user or historical behaviors of the user, and then the articles are recommended to the user.
At present, for large-scale distributed e-commerce, more than one physical storage place is provided, and each storage place cannot ensure complete commodities of all types. If a user purchases multiple items at different warehouses according to the item scheme recommended by the current e-commerce application software, the items are generally merged and then delivered to save cost. However, for items that are extremely sensitive to transit time (e.g., items with a short shelf life), the quality of the items may be affected by the increased transit time exceeding the optimal delivery time limit, resulting in a significant degradation of the user experience.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides an object recommendation method, an object recommendation device and an e-commerce platform server.
According to a first aspect of the embodiments of the present disclosure, there is provided an object recommendation method, including:
judging whether the current object to be acquired of the user is matched with a preset object set or not; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
if the object to be acquired is matched with the object set, determining a first recommended object according to the object to be acquired, the geographic position of the user and the object set, wherein the distance between the first warehousing position of the first recommended object and the geographic position of the user is smaller than a first distance threshold value.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, the e-commerce platform server determines, by determining whether the current object to be acquired by the user matches a preset object set, and when the object to be acquired matches the object set, according to the object to be acquired and the geographic position of the user, a first recommended object whose distance between the warehousing position and the geographic position of the user is smaller than a first distance threshold from the object set, so that the object recommended to the user by the e-commerce platform is an object closest to the user, and thus when the user purchases the first recommended object, the delivery time of the first recommended object to the geographic position of the user is greatly shortened, thereby saving the waiting time of the user, and greatly improving the experience of the user.
Further, the determining a first recommended object according to the object to be acquired, the geographic location of the user, and the object set includes:
according to the object to be obtained, determining a first object class to which the object to be obtained belongs from the object set;
determining the first warehousing location from the first object class according to the geographic location of the user;
and determining the sub-product class corresponding to the first warehousing position as the first recommended object.
Optionally, the method further includes:
determining the object to be acquired according to the relevant parameters of the user; wherein the relevant parameters include: at least one of a keyword message input by the user, a historical recommendation behavior of the user, and a user transaction record.
Optionally, the method further includes:
if the first recommended object does not exist in the object set, determining a second recommended object from the object set according to the object to be acquired and the geographic position of the user, wherein the distance between a second warehousing position of the second recommended object and the geographic position of the user is smaller than a second distance threshold, and the second distance threshold is larger than the first distance threshold.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, the e-commerce platform server determines, according to the object to be obtained, a first object class to which the object to be obtained belongs from the object set, and then determines, according to the geographic position of the user, a first warehousing position in the first object class, where a distance between the first object class and the geographic position of the user is smaller than a first distance threshold, so that a sub-class corresponding to the first warehousing position is determined as a first recommended object, and thus an object recommended to the user by the e-commerce platform is an object closest to the user, and thus when the user purchases the first recommended object, a delivery time of the first recommended object to the geographic position of the user is greatly shortened, so that a waiting time of the user is saved, and user experience is greatly improved; in addition, when the inventory of the first storage position of the first object class in the object set is zero, that is, when the first recommended object does not exist in the object set, the e-commerce platform server may determine, from the object set, a second recommended object whose distance between the storage position and the geographic position of the user is smaller than a second distance threshold, that is, recommend to the user an object that is next closest to the geographic position of the user, which also saves the waiting time of the user and further improves the user experience.
Still further, the method further comprises:
acquiring a trade order request sent by a user, wherein the trade order request comprises a plurality of recommended objects, and the recommended objects are first recommended objects or second recommended objects;
if the storage positions of the recommended objects in the transaction order request are different, outputting first prompt information to a user; the first prompt information is used for prompting a user that recommended objects with different warehousing positions exist in the current transaction list.
Optionally, the first prompt information is further used for prompting a user whether to split the object in the current-year transaction order into different transaction orders according to the warehousing location.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, when a user selects a recommended object at a different warehousing position in one transaction list, the e-commerce platform server may output first prompt information to the user to prompt the user that the recommended object at the different warehousing positions exists in the current transaction list, and further, may prompt the user whether to split the object in the current-year transaction list into different transaction lists according to the warehousing positions, so that the user can definitely know the specific warehousing information of the current transaction list, and further, the user can decide whether to split the list, thereby further enriching the use experience of the user.
Still further, the method further comprises:
determining the delivery time required for the first recommended object to be delivered to the geographical position of the user according to the distance between the first warehousing position and the geographical position of the user;
and carrying the delivery time in second prompt information and outputting the second prompt information to the user, wherein the second prompt information is used for prompting the delivery time required by the first recommendation object to reach the geographical position of the user to the user.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, after the e-commerce platform server determines the first recommended object recommended to the user, the delivery time required for the first recommended object to be delivered to the geographical position of the user is determined according to the distance between the first warehousing position and the geographical position of the user, and the delivery time is carried in the second prompt information and output to the user, so that the user can clearly know the delivery time of the current first recommended object, blind waiting of the user is avoided, and user experience is further improved.
According to a second aspect of the embodiments of the present disclosure, there is provided an object recommendation apparatus including:
the judging module is configured to judge whether the current object to be acquired of the user is matched with a preset object set; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
the first determining module is configured to determine a first recommended object according to the object to be acquired, the geographic position of the user and the object set when the judging module judges that the object to be acquired is matched with the object set, wherein the distance between the first warehousing position of the first recommended object and the geographic position of the user is smaller than a first distance threshold.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in the embodiment, the judging module judges whether the current object to be acquired of the user is matched with the preset object set, and the first determining module determines the first recommended object of which the distance between the warehousing position and the geographic position of the user is smaller than the first distance threshold value from the object set according to the object to be acquired and the geographic position of the user when the judging module judges that the object to be acquired is matched with the object set, so that the object recommended to the user by the e-commerce platform is the object closest to the user, and thus when the user purchases the first recommended object, the delivery time of the first recommended object to the geographic position of the user is greatly shortened, the waiting time of the user is saved, and the user experience is greatly improved.
Further, the first determining module includes:
the first determining submodule is configured to determine a first object class to which the object to be acquired belongs from the object set according to the object to be acquired;
a second determination submodule configured to determine the first warehousing location from the first object class according to the geographic location of the user;
and the third determining submodule is configured to determine the sub-class corresponding to the first warehousing position as the first recommended object.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, the first determining sub-module determines, according to the object to be obtained, a first object class to which the object to be obtained belongs from the object set, and then the second determining sub-module determines, according to the geographic position of the user, a first warehousing position in which a distance from the geographic position of the user is smaller than a first distance threshold from the first object class, so that the third determining sub-module determines a sub-class corresponding to the first warehousing position as the first recommended object, and further, an object recommended to the user by the e-commerce platform is an object closest to the user.
Further, the apparatus further comprises:
a second determining module, configured to determine, when the determining module determines that the first recommended object does not exist in the object set, a second recommended object from the object set according to the object to be acquired and the geographic location of the user, where a distance between a second warehousing location of the second recommended object and the geographic location of the user is smaller than a second distance threshold, and the second distance threshold is greater than the first distance threshold.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, when the determining module determines that the inventory of the first storage location of the first object class in the object set is zero, that is, when the first recommended object does not exist in the object set, the second determining module may determine, from the object set, a second recommended object whose distance between the storage location and the geographic location of the user is smaller than a second distance threshold, that is, recommend to the user an object that is next closest to the geographic location of the user, so as to save the waiting time of the user and further improve the user experience.
Still further, the apparatus further comprises:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is configured to acquire a transaction order request sent by a user, the transaction order request comprises a plurality of recommended objects, and the recommended objects are first recommended objects or second recommended objects;
the first output module is configured to output first prompt information to a user if the warehousing positions of the recommended objects in the transaction order request are different; the first prompt information is used for prompting a user that recommended objects with different warehousing positions exist in the current transaction list.
Optionally, the first prompt information is further used for prompting a user whether to split the object in the current-year transaction order into different transaction orders according to the warehousing location.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, when a user selects a recommended object at a different warehousing position in one transaction list, the first output module may output first prompt information to the user to prompt the user that the recommended object at the different warehousing positions exists in the current transaction list, and further, may prompt the user whether to split the object in the current-year transaction list into different transaction lists according to the warehousing positions, so that the user can definitely know the specific warehousing information of the current transaction list, and further, the user can decide whether to split the list, thereby further enriching the use experience of the user.
Still further, the apparatus further comprises:
a third determination module configured to determine a delivery time required for the first recommended object to be delivered to the geographic location of the user according to a distance between the first warehousing location and the geographic location of the user;
and the second output module is configured to carry the delivery time in second prompt information and output the second prompt information to the user, wherein the second prompt information is used for prompting the delivery time required by the first recommendation object to reach the geographical position of the user to the user.
Optionally, the apparatus further comprises:
the fourth determination module is configured to determine the object to be acquired according to the relevant parameters of the user; wherein the relevant parameters include: at least one of a keyword message input by the user, a historical recommendation behavior of the user, and a user transaction record.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, after the first determining module determines the first recommended object recommended to the user, the third determining module determines the delivery time required for the first recommended object to be delivered to the geographical position of the user according to the distance between the first warehousing position and the geographical position of the user, and the delivery time is carried in the second prompt information by the second output module and is output to the user, so that the user can clearly know the delivery time of the current first recommended object, blind waiting of the user is avoided, and user experience is further improved.
According to a third aspect of the embodiments of the present disclosure, there is provided an e-commerce platform server, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
judging whether the current object to be acquired of the user is matched with a preset object set or not; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
if the object to be acquired is matched with the object set, determining a first recommended object according to the object to be acquired, the geographic position of the user and the object set, wherein the distance between the first warehousing position of the first recommended object and the geographic position of the user is smaller than a first distance threshold value.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: in this embodiment, the processor determines, by determining whether the current object to be acquired by the user matches a preset object set, and when the object to be acquired matches the object set, a first recommended object whose distance between the warehousing location and the geographic location of the user is smaller than a first distance threshold from the object set according to the object to be acquired and the geographic location of the user, so that the object recommended to the user by the e-commerce platform is an object closest to the user, and thus when the user purchases the first recommended object, the delivery time of the first recommended object to the geographic location of the user is greatly shortened, thereby saving the waiting time of the user, and greatly improving the experience of the user. . .
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow diagram illustrating a method of object recommendation in accordance with an exemplary embodiment;
FIG. 2 is a flow chart illustrating a method of object recommendation in accordance with another exemplary embodiment;
FIG. 3 is a flow chart illustrating a method of object recommendation in accordance with yet another exemplary embodiment;
FIG. 4 is a flow chart illustrating a method of object recommendation in accordance with yet another exemplary embodiment;
FIG. 5 is an interface diagram illustrating first prompt information, according to an exemplary embodiment;
FIG. 6 is a block diagram illustrating an object recommendation device in accordance with an exemplary embodiment;
FIG. 7 is a block diagram illustrating an object recommendation device in accordance with another exemplary embodiment;
FIG. 8 is a block diagram illustrating an object recommendation device in accordance with yet another illustrative embodiment;
FIG. 9 is a block diagram illustrating an object recommendation device in accordance with yet another illustrative embodiment;
FIG. 10 is a block diagram illustrating an object recommendation device in accordance with yet another illustrative embodiment;
fig. 11 is a block diagram illustrating entities of an e-commerce platform server in accordance with an example embodiment.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating an object recommendation method applied to an e-commerce platform server according to an exemplary embodiment. The e-commerce platform refers to a transaction platform capable of providing a service of purchasing, returning goods and the like for a user, and the server refers to a server controlling all actions occurring on the e-commerce platform. The embodiment relates to a specific process that an e-commerce platform recommends a first recommended object closest to a geographical position of a user to the user according to an object to be acquired, which the user wants to acquire currently, and the geographical position of the user is combined, so that waiting time of the user is saved. As shown in fig. 1, the method comprises the steps of:
in step S101, it is determined whether the current object to be acquired of the user matches a preset object set; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different.
In this step, after acquiring the object to be acquired that the user currently wants to acquire, the e-commerce platform server first determines whether the object to be acquired matches a preset object set, that is, determines whether the object to be acquired belongs to an object in the object set. The object set may include at least one object class whose validity period is less than a preset time threshold, where the preset time threshold may be a specific validity period time range, such as 10 days, 24 hours, and the like. One object class in the object set may include at least one sub-class, where the object types in the sub-classes in the same object class are the same, and the storage locations corresponding to the sub-classes in the same object class are different, that is, the e-commerce platform server divides the objects in the same object class according to the storage locations where the objects are stored, where, in the same object class, the object at the same storage location is one sub-class, and all the objects included in the object set are objects that are more sensitive to time and have a shorter shelf life or validity period. A warehousing location in this disclosure is a physical warehouse where objects are stored.
For example, taking a crab as an example, assuming that the preset time threshold is 2 days, the validity period of the crab (i.e., the shelf life of the crab) is 24 hours, and the crab is an object class with the validity period less than 2 days, so that the e-commerce platform server divides the crab into object sets. Assuming that the crabs comprise four storage positions, namely a Dongchun area, a West city area, a Haizhou area and a Chang plain area, in the logistics storage system of the E-commerce platform, the crabs comprise four subclasses, namely a crab-Dongchun area, a crab-West city area, a crab-Haizhou area and a crab-Chang plain area.
Optionally, the number of the objects to be acquired of the user may be one or multiple, and the e-commerce platform server performs the same operation on each object to be acquired.
In step S102, if the object to be acquired is matched with the object set, a first recommended object is determined according to the object to be acquired, the geographic location of the user, and the object set, and a distance between a first warehousing location of the first recommended object and the geographic location of the user is smaller than a first distance threshold.
In this step, when the e-commerce platform server determines that the object to be acquired of the user matches a preset object set, that is, it is determined that the object to be acquired of the user belongs to an object in the object set, the e-commerce platform server determines, according to the object to be acquired and the geographic position of the user, a first recommended object that is smaller than a first distance threshold and has the same type as the object to be acquired and is located between the object set and the geographic position of the user, and recommends the first recommended object to the user. This allows the e-commerce platform to recommend objects to the user that are the closest objects to the user.
For a better understanding of the aspects of the embodiments of the present disclosure, a simple example is presented here:
assuming that a user inputs a keyword 'crab' into a certain E-commerce platform, the E-commerce platform server determines that an object to be acquired by the user currently is the crab according to the keyword input by the user. And then the electric goods desk server judges whether the crabs are matched with a preset object set. After the judgment, the e-commerce platform server determines that the object set contains the object class of the crabs, and then the e-commerce platform server determines that the object to be acquired of the user is matched with a preset object set, namely determines that the object to be acquired of the user belongs to an object of which the validity period is smaller than a preset time threshold value in the object set (namely determines that the current object to be acquired of the user is an object sensitive to time). Then, the E-commerce platform server recommends the crabs (namely, a first recommended object, the warehousing position of the Chang-ping district is closest to the geographic position of the user, the warehousing position of the Chang-ping district is a first warehousing position, and the time distance between the first recommending object and the warehousing position is a first distance threshold) in the Chang-ping district to the user according to the geographic position of the user (the geographic position of the user is assumed to be in the Chang-ping district), so that the delivery time of the crabs for the trade list is greatly shortened if the user chooses to purchase under the recommendation page of the E-commerce platform, the waiting time of the user is saved, and the experience of the user is greatly improved. Optionally, when the e-commerce platform server outputs the first recommended object to the terminal device of the user, optionally, the warehousing position where the first recommended object is located may be sent to the user together, so that the user can clearly know the current first warehousing position of the first recommended object, and the user experience is further enriched. Optionally, the e-commerce platform server may also send the inventory of the first warehousing location where the first recommendation object is located to the user together, so that the user can clearly know the inventory of the current first warehousing location, and further, the user determines whether to increase the purchase amount, thereby further enriching the user experience.
In the object recommendation method provided by this embodiment, the e-commerce platform server determines, from the object set, a first recommendation object whose distance between the warehousing location and the geographic location of the user is smaller than a first distance threshold by determining whether the current object to be acquired by the user matches a preset object set, and when the object to be acquired matches the object set, according to the object to be acquired and the geographic location of the user, so that the object recommended to the user by the e-commerce platform is an object closest to the user, and thus when the user purchases the first recommendation object, the delivery time of the first recommendation object to the geographic location of the user is greatly shortened, thereby saving the waiting time of the user, and greatly improving the user experience.
Fig. 2 is a flowchart illustrating an object recommendation method according to another exemplary embodiment. The embodiment relates to a specific process of synchronously notifying the user of the delivery time of the first recommended object when the e-commerce platform server recommends the first recommended object to the user, thereby further enriching the user experience. On the basis of the foregoing embodiment, further after the foregoing S102, the method may further include:
s201: and determining the delivery time required by the first recommendation object to be delivered to the geographical position of the user according to the distance between the first warehousing position and the geographical position of the user.
In this step, after the e-commerce platform server determines the first recommended object, the e-commerce platform server further determines a distance between the warehousing location of the first recommended object and the geographic location of the user, optionally, the e-commerce platform server may obtain the geographic location of the user according to login information of the user or a common mailing address of the user. After the E-commerce platform server determines the distance between the warehousing position of the first recommendation object and the geographic position of the user, the E-commerce platform server calculates the delivery time required by the first recommendation object to be delivered to the geographic position of the user according to information such as historical delivery speed and historical traffic jam time.
S202: and carrying the delivery time in second prompt information and outputting the second prompt information to the user, wherein the second prompt information is used for prompting the delivery time required by the first recommendation object to reach the geographical position of the user to the user.
In this step, after the e-commerce platform server determines the delivery time required for the first recommended object to be delivered to the geographical position of the user, the delivery time is carried in the second prompt message and sent to the user, so that the user can clearly know the delivery time of the current first recommended object, and the blind waiting of the user is avoided. Optionally, the second prompt message may be presented to the user in the form of an interface, or may be sent to the user in the form of a voice, and the specific format of the second prompt message is not limited in this embodiment. Optionally, the e-commerce platform server may further calculate the delivery time of the first recommended object according to the delivery time, and output the delivery time carried in the second prompt information to the user, so that the user may clearly know when the first recommended object arrives, and blind waiting of the user is avoided.
According to the object recommendation method provided by the embodiment, after the e-commerce platform server determines the first recommended object recommended to the user, the delivery time required by the first recommended object to be delivered to the geographical position of the user is determined according to the distance between the first warehousing position and the geographical position of the user, and the delivery time is carried in the second prompt information and is output to the user, so that the user can clearly know the delivery time of the current first recommended object, blind waiting of the user is avoided, and user experience is further improved.
Fig. 3 is a flowchart illustrating an object recommendation method according to yet another exemplary embodiment. The embodiment relates to a specific process for determining a first recommended object by an e-commerce platform server. On the basis of the foregoing embodiment, further, the foregoing S102 may specifically include:
s301: and determining a first object class to which the object to be acquired belongs from the object set according to the object to be acquired.
In this step, the e-commerce platform server may obtain an object to be obtained that the user currently wants, optionally, the e-commerce platform server may determine the object to be obtained of the user according to the relevant parameters of the user, optionally, the relevant parameters include: at least one of a keyword message input by the user, a historical recommendation behavior of the user, and a user transaction record. The keyword information may be a name of an object (e.g., AA brand air conditioner) input by a user, a type of the object (e.g., air conditioner, sweater), parameter information of the object (e.g., M code, middle and long money, etc.), and the like, the historical recommendation behavior of the user may be information of an object recommended to the user before recorded by an e-commerce platform server, and the user transaction record is all transaction records recorded by the e-commerce platform on the e-commerce platform by the user, or a transaction record within a preset time. And the e-commerce platform server can calculate the object to be acquired which is currently desired by the user by combining the related parameters.
After the e-commerce platform server acquires an object to be acquired of a user, whether the object to be acquired is matched with a preset object set can be judged according to information such as the name of the object to be acquired and the type of the object to be acquired. If the matching result is obtained, the object to be acquired belongs to the object in one object class in the object set, so that the e-commerce platform server can determine the first object class to which the object to be acquired belongs from the object set by combining information such as the name of the object to be acquired and the type of the object to be acquired.
S302: determining the first warehousing location from the first object category according to the geographic location of the user.
In this step, after the e-commerce platform server determines the first object class to which the object to be acquired belongs, the e-commerce platform server determines, according to the geographic position of the user, a first warehousing position, where a distance between the first object class and the geographic position of the user is smaller than a first distance threshold, from the first object class, where the first warehousing position is a warehousing position closest to the geographic position of the user in the first object class.
S303: and determining the sub-product class corresponding to the first warehousing position as the first recommended object.
In this step, after the e-commerce platform server determines the first warehousing location from the first object class, the e-commerce platform server determines a sub-class located at the first warehousing location in the first object class as a first recommended object, and recommends the first recommended object to the user. Optionally, the first warehousing position where the first recommended object is located may be sent to the user together, so that the user may clearly know the current warehousing position of the first recommended object, and experience of the user is further enriched. Optionally, the e-commerce platform server may also send the inventory of the first warehousing location where the first recommendation object is located to the user together, so that the user can clearly know the inventory of the first warehousing location, and further, the user determines whether to increase the purchase amount, thereby further enriching the user experience.
Optionally, when the e-commerce platform server determines that the sub-class located at the first warehousing position in the first object class is not currently stocked, that is, the first recommended object does not exist in the object set, the e-commerce platform server may determine, according to the object to be acquired and the geographic position of the user, a second recommended object from the object set, where a distance between a second warehousing position of the second recommended object and the geographic position of the user is smaller than a second distance threshold, and the second distance threshold is larger than the first distance threshold, that is, the second recommended object is an object that is next closest to the geographic position of the user.
In the object recommendation method provided by this embodiment, the e-commerce platform server determines, according to the object to be acquired, a first object class to which the object to be acquired belongs from the object set, and then determines, according to the geographic position of the user, a first warehousing position in which a distance from the geographic position of the user is smaller than a first distance threshold from the first object class, so that a sub-class corresponding to the first warehousing position is determined as a first recommended object, and thus an object recommended to the user by the e-commerce platform is an object closest to the user, and thus when the user purchases the first recommended object, delivery time of the first recommended object to the geographic position of the user is greatly shortened, waiting time of the user is saved, and user experience is greatly improved; in addition, when the inventory of the first storage position of the first object class in the object set is zero, that is, when the first recommended object does not exist in the object set, the e-commerce platform server may determine, from the object set, a second recommended object whose distance between the storage position and the geographic position of the user is smaller than a second distance threshold, that is, recommend to the user an object that is next closest to the geographic position of the user, which also saves the waiting time of the user and further improves the user experience.
Fig. 4 is a flowchart illustrating an object recommendation method according to yet another exemplary embodiment. The embodiment relates to a specific processing process of an e-commerce platform server when a user purchases a plurality of first recommendation objects at different warehousing positions in the same transaction list. On the basis of the above embodiment, further, the method may further include:
s401: the method comprises the steps of obtaining a trade list request sent by a user, wherein the trade list request comprises a plurality of recommended objects, and the recommended objects are first recommended objects or second recommended objects.
In this embodiment, a plurality of objects to be acquired of the user are provided, and therefore, the e-commerce platform server determines one first recommendation object or a second recommendation object for each object to be acquired (when the first recommendation object does not exist in the object set, the e-commerce platform server determines the second recommendation object), and recommends the first recommendation object or the second recommendation object to the user. It should be noted that, for different objects to be acquired, the warehousing positions of the first recommended objects determined by the e-commerce platform server may be the same or different. In addition, for different objects to be acquired, the warehousing positions of the second recommended objects determined by the e-commerce platform server may be the same or different. The user can make order purchase according to the first recommended object or the second recommended object recommended by the e-commerce platform server. When purchasing, a user sends a trade list request to an e-commerce platform server through own terminal equipment, and if the user selects a plurality of first recommendation objects or a plurality of second recommendation objects in a trade list or selects a plurality of first recommendation objects and a plurality of second recommendation objects, the trade list request at this time includes the plurality of first recommendation objects or the plurality of second recommendation objects or the plurality of first recommendation objects and the plurality of second recommendation objects. For convenience of description, the present embodiment collectively refers to the plurality of first recommendation objects and/or the plurality of second recommendation objects in the trade list request as recommendation objects in the trade list request.
S402: if the storage positions of the recommended objects in the transaction order request are different, outputting first prompt information to a user; the first prompt information is used for prompting a user that recommended objects with different warehousing positions exist in the current transaction list.
In this step, after receiving a trade order request from a user, the e-commerce platform server may determine whether the warehousing positions of all recommended objects in the trade order request are the same. When the E-commerce platform server determines that the storage positions of part of recommended objects or all recommended objects in the transaction order request are different, the E-commerce platform server sends first prompt information to terminal equipment of a user to inform the user that the recommended objects with different storage positions exist in the current transaction order, so that the user can conveniently decide whether to take the order or take the order again.
Optionally, the first prompt information is further used to prompt a user whether to split an object in a current-year transaction order into different transaction orders according to a warehousing position, optionally, the first prompt information may be presented on a terminal device of the user in an interface form, see an interface schematic diagram shown in fig. 5, where the first prompt information is "whether to split a transaction order", and the interface may provide two option controls for the user, and when the user selects "yes" option, the e-commerce platform server may automatically split the current transaction order into different transaction orders according to the warehousing position, so as to save delivery time for the user; and when the user selects the 'no' option, the E-commerce platform server processes according to a normal flow.
According to the object recommendation method provided by the embodiment, when a user selects recommended objects with different warehousing positions in one transaction list, the e-commerce platform server can output first prompt information to the user to prompt the user that the recommended objects with different warehousing positions exist in the current transaction list, and further can prompt the user whether to split the objects in the current-year transaction list into different transaction lists according to the warehousing positions, so that the user can clearly know the specific warehousing information of the current transaction list, and further can decide whether to split the list, and the use experience of the user is further enriched.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 6 is a block diagram illustrating an object recommendation device that may be implemented as part or all of an e-commerce platform server in software, hardware, or a combination of both, according to an example embodiment. As shown in fig. 6, the object recommending apparatus includes: a judging module 11 and a first determining module 12.
The judging module 11 is configured to judge whether a current object to be acquired of a user is matched with a preset object set; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
a first determining module 12, configured to determine, when the determining module 11 determines that the object to be acquired matches the object set, a first recommended object according to the object to be acquired, the geographic location of the user, and the object set, where a distance between a first warehousing location of the first recommended object and the geographic location of the user is smaller than a first distance threshold.
To sum up, in the object recommendation device provided in the embodiment of the present disclosure, the determining module determines, by determining whether the current object to be acquired by the user matches the preset object set, and the first determining module determines, according to the object to be acquired and the geographic position of the user, the first recommended object whose distance between the warehousing location and the geographic position of the user is smaller than the first distance threshold from the object set when the determining module determines that the object to be acquired matches the preset object set, so that the object recommended to the user by the e-commerce platform is the object closest to the user, and thus when the user purchases the first recommended object, the delivery time of the first recommended object to the geographic position of the user is greatly shortened, thereby saving the waiting time of the user, and greatly improving the user experience.
Fig. 7 is a block diagram illustrating an object recommending apparatus according to another exemplary embodiment. On the basis of the embodiment shown in fig. 6, further, the first determining module 12 includes:
a first determining submodule 121, configured to determine, according to the object to be acquired, a first object class to which the object to be acquired belongs from the object set;
a second determination submodule 122 configured to determine the first warehousing location from the first object class according to the geographic location of the user;
the third determining sub-module 123 is configured to determine a sub-category corresponding to the first warehousing location as the first recommended object.
To sum up, in the object recommendation device provided in the embodiment of the present disclosure, the first determining sub-module determines, according to the object to be acquired, the first object class to which the object to be acquired belongs from the object set, and then the second determining sub-module determines, according to the geographic position of the user, the first storage position, in which the distance from the geographic position of the user to the first object class is smaller than the first distance threshold, so that the sub-class corresponding to the first storage position is determined as the first recommendation object by the third determining sub-module, and further, the object recommended to the user by the e-commerce platform is the object closest to the user, so that when the user purchases the first recommendation object, the delivery time of the first recommendation object to the geographic position of the user is greatly shortened, thereby saving the waiting time of the user, and greatly improving the experience of the user.
Fig. 8 is a block diagram illustrating an object recommending apparatus according to still another exemplary embodiment. On the basis of the embodiment shown in fig. 7, the apparatus further includes a second determining module 13.
A second determining module 13, configured to determine, when the determining module 11 determines that the first recommended object does not exist in the object set, a second recommended object from the object set according to the object to be acquired and the geographic location of the user, where a distance between a second warehousing location of the second recommended object and the geographic location of the user is smaller than a second distance threshold, and the second distance threshold is greater than the first distance threshold.
To sum up, according to the object recommendation device provided by the embodiment of the disclosure, when the determining module determines that the inventory of the first storage location of the first object class in the object set is zero, that is, when the first recommended object does not exist in the object set, the second determining module may determine, from the object set, the second recommended object whose distance between the storage location and the geographic location of the user is smaller than the second distance threshold, that is, recommend the object that is next closest to the geographic location of the user to the user, so as to save the waiting time of the user and further improve the experience of the user.
Fig. 9 is a block diagram illustrating an object recommending apparatus according to still another exemplary embodiment. On the basis of the embodiment shown in fig. 8, further, the apparatus further includes: an acquisition module 14 and a first output module 15.
The obtaining module 14 is configured to obtain a transaction order request sent by a user, where the transaction order request includes a plurality of recommendation objects, and the recommendation object is a first recommendation object or a second recommendation object;
the first output module 15 is configured to output first prompt information to the user if the warehousing positions of the recommended objects in the transaction order request are different; the first prompt information is used for prompting a user that recommended objects with different warehousing positions exist in the current transaction list.
Optionally, the first prompt information is further used for prompting a user whether to split the object in the current-year transaction order into different transaction orders according to the warehousing location.
To sum up, the object recommendation device provided by the embodiment of the disclosure, when a user selects recommended objects at different warehousing positions in one transaction list, the first output module may output first prompt information to the user to prompt the user that recommended objects at different warehousing positions exist in the current transaction list, and further, may prompt the user whether to split an object in the current-year transaction list into different transaction lists according to the warehousing positions, so that the user can definitely know specific warehousing information of the current transaction list, and then the user can decide whether to split the list, thereby further enriching the use experience of the user.
Fig. 10 is a block diagram illustrating an object recommending apparatus according to still another exemplary embodiment. On the basis of the embodiment shown in fig. 9, further, the apparatus may further include: a third determination module 16 and a second output module 17.
A third determination module 16 configured to determine a delivery time required for the first recommended object to be delivered to the geographic location of the user according to a distance between the first warehousing location and the geographic location of the user;
and the second output module 17 is configured to carry the delivery time in second prompt information and output the second prompt information to the user, where the second prompt information is used to prompt the user of the delivery time required by the first recommendation object to reach the geographic location of the user.
Optionally, with continued reference to fig. 10, the apparatus may further comprise: a fourth determining module 18 configured to determine the object to be acquired according to the relevant parameters of the user; wherein the relevant parameters include: at least one of a keyword message input by the user, a historical recommendation behavior of the user, and a user transaction record.
To sum up, according to the object recommendation device provided by the embodiment of the disclosure, after the first determination module determines the first recommended object recommended to the user, the third determination module determines the delivery time required for the first recommended object to be delivered to the geographical position of the user according to the distance between the first warehousing position and the geographical position of the user, and the delivery time is carried in the second prompt information by the second output module and is output to the user, so that the user can clearly know the delivery time of the current first recommended object, blind waiting of the user is avoided, and user experience is further improved.
With regard to the apparatus in the above-described embodiment, the specific manner in which the respective modules and units perform operations has been described in detail in the embodiment related to the method, and will not be elaborated upon here.
Having described the internal functional modules and the structural schematic of the object recommendation device, fig. 11 is a block diagram illustrating an e-commerce platform server entity according to an exemplary embodiment, and as shown in fig. 11, the e-commerce platform server may include: a processor 21, and a memory 22 for storing instructions executable by the processor 21.
Wherein the processor 21 is configured to:
judging whether the current object to be acquired of the user is matched with a preset object set or not; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
if the object to be acquired is matched with the object set, determining a first recommended object according to the object to be acquired, the geographic position of the user and the object set, wherein the distance between the first warehousing position of the first recommended object and the geographic position of the user is smaller than a first distance threshold value.
In the embodiment of the platform server, it should be understood that the Processor 21 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. The general purpose processor may be a microprocessor, the processor may be any conventional processor, and the memory 22 may be a read-only memory (ROM), a Random Access Memory (RAM), a flash memory, a hard disk, or a solid state disk.
In an exemplary embodiment, the present disclosure also provides a non-transitory computer readable storage medium comprising instructions, such as the memory 22 comprising instructions, executable by the processor 21 of the e-commerce platform server to perform the object recommendation method described above. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium, wherein instructions of the storage medium, when executed by a processor of an e-commerce platform server, enable the e-commerce platform server to perform the above object recommendation method, the method comprising:
judging whether the current object to be acquired of the user is matched with a preset object set or not; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
if the object to be acquired is matched with the object set, determining a first recommended object according to the object to be acquired, the geographic position of the user and the object set, wherein the distance between the first warehousing position of the first recommended object and the geographic position of the user is smaller than a first distance threshold value.
Further, the determining a first recommended object according to the object to be acquired, the geographic location of the user, and the object set includes:
according to the object to be obtained, determining a first object class to which the object to be obtained belongs from the object set;
determining the first warehousing location from the first object class according to the geographic location of the user;
and determining the sub-product class corresponding to the first warehousing position as the first recommended object.
Still further, the method further comprises:
if the first recommended object does not exist in the object set, determining a second recommended object from the object set according to the object to be acquired and the geographic position of the user, wherein the distance between a second warehousing position of the second recommended object and the geographic position of the user is smaller than a second distance threshold, and the second distance threshold is larger than the first distance threshold.
Still further, the method further comprises:
acquiring a trade order request sent by a user, wherein the trade order request comprises a plurality of recommended objects, and the recommended objects are first recommended objects or second recommended objects;
if the storage positions of the recommended objects in the transaction order request are different, outputting first prompt information to a user; the first prompt information is used for prompting a user that recommended objects with different warehousing positions exist in the current transaction list.
Optionally, the first prompt information is further used for prompting a user whether to split the object in the current-year transaction order into different transaction orders according to the warehousing location.
Further, the method further comprises:
determining the delivery time required for the first recommended object to be delivered to the geographical position of the user according to the distance between the first warehousing position and the geographical position of the user;
and carrying the delivery time in second prompt information and outputting the second prompt information to the user, wherein the second prompt information is used for prompting the delivery time required by the first recommendation object to reach the geographical position of the user to the user.
Optionally, the method further includes:
determining the object to be acquired according to the relevant parameters of the user; wherein the relevant parameters include: at least one of a keyword message input by the user, a historical recommendation behavior of the user, and a user transaction record.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (13)
1. An object recommendation method, comprising:
judging whether the current object to be acquired of the user is matched with a preset object set or not; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
if the object to be acquired is matched with the object set, determining a first recommended object according to the object to be acquired, the geographic position of the user and the object set, wherein the distance between the first warehousing position of the first recommended object and the geographic position of the user is smaller than a first distance threshold, wherein the determining of the first recommended object according to the object to be acquired, the geographic position of the user and the object set comprises:
according to the object to be obtained, determining a first object class to which the object to be obtained belongs from the object set;
determining the first warehousing location from the first object class according to the geographic location of the user;
and determining the sub-product class corresponding to the first warehousing position as the first recommended object.
2. The method of claim 1, further comprising:
if the first recommended object does not exist in the object set, determining a second recommended object from the object set according to the object to be acquired and the geographic position of the user, wherein the distance between a second warehousing position of the second recommended object and the geographic position of the user is smaller than a second distance threshold, and the second distance threshold is larger than the first distance threshold.
3. The method of claim 2, further comprising:
acquiring a trade order request sent by a user, wherein the trade order request comprises a plurality of recommended objects, and the recommended objects are first recommended objects or second recommended objects;
if the storage positions of the recommended objects in the transaction order request are different, outputting first prompt information to a user; the first prompt information is used for prompting a user that recommended objects with different warehousing positions exist in the current transaction list.
4. The method according to claim 3, wherein the first prompt message is further used for prompting a user whether to split the object in the current transaction order into different transaction orders according to the warehousing location.
5. The method of claim 1, further comprising:
determining the delivery time required for the first recommended object to be delivered to the geographical position of the user according to the distance between the first warehousing position and the geographical position of the user;
and carrying the delivery time in second prompt information and outputting the second prompt information to the user, wherein the second prompt information is used for prompting the delivery time required by the first recommendation object to reach the geographical position of the user to the user.
6. The method of claim 1, further comprising:
determining the object to be acquired according to the relevant parameters of the user; wherein the relevant parameters include: at least one of a keyword message input by the user, a historical recommendation behavior of the user, and a user transaction record.
7. An object recommendation apparatus, comprising:
the judging module is configured to judge whether the current object to be acquired of the user is matched with a preset object set; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
a first determining module, configured to determine, when the determining module determines that the object to be acquired matches the object set, a first recommended object according to the object to be acquired, the geographic location of the user, and the object set, where a distance between a first warehousing location of the first recommended object and the geographic location of the user is smaller than a first distance threshold, where the first determining module includes:
the first determining submodule is configured to determine a first object class to which the object to be acquired belongs from the object set according to the object to be acquired;
a second determination submodule configured to determine the first warehousing location from the first object class according to the geographic location of the user;
and the third determining submodule is configured to determine the sub-class corresponding to the first warehousing position as the first recommended object.
8. The apparatus of claim 7, further comprising:
a second determining module, configured to determine, when the determining module determines that the first recommended object does not exist in the object set, a second recommended object from the object set according to the object to be acquired and the geographic location of the user, where a distance between a second warehousing location of the second recommended object and the geographic location of the user is smaller than a second distance threshold, and the second distance threshold is greater than the first distance threshold.
9. The apparatus of claim 8, further comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is configured to acquire a transaction order request sent by a user, the transaction order request comprises a plurality of recommended objects, and the recommended objects are first recommended objects or second recommended objects;
the first output module is configured to output first prompt information to a user if the warehousing positions of the recommended objects in the transaction order request are different; the first prompt information is used for prompting a user that recommended objects with different warehousing positions exist in the current transaction list.
10. The apparatus according to claim 9, wherein the first prompt message is further used to prompt a user whether to split an object in the current transaction order into different transaction orders according to a warehousing location.
11. The apparatus of claim 7, further comprising:
a third determination module configured to determine a delivery time required for the first recommended object to be delivered to the geographic location of the user according to a distance between the first warehousing location and the geographic location of the user;
and the second output module is configured to carry the delivery time in second prompt information and output the second prompt information to the user, wherein the second prompt information is used for prompting the delivery time required by the first recommendation object to reach the geographical position of the user to the user.
12. The apparatus of claim 7, further comprising:
the fourth determination module is configured to determine the object to be acquired according to the relevant parameters of the user; wherein the relevant parameters include: at least one of a keyword message input by the user, a historical recommendation behavior of the user, and a user transaction record.
13. An e-commerce platform server, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
judging whether the current object to be acquired of the user is matched with a preset object set or not; the object set comprises at least one object class with the valid period smaller than a preset time threshold, each object class comprises at least one sub-class, the object types in the sub-classes in one object class are the same, and the storage positions corresponding to the sub-classes are different;
if the object to be acquired is matched with the object set, determining a first recommended object according to the object to be acquired, the geographic position of the user and the object set, wherein the distance between the first warehousing position of the first recommended object and the geographic position of the user is smaller than a first distance threshold, wherein the determining of the first recommended object according to the object to be acquired, the geographic position of the user and the object set comprises:
according to the object to be obtained, determining a first object class to which the object to be obtained belongs from the object set;
determining the first warehousing location from the first object class according to the geographic location of the user;
and determining the sub-product class corresponding to the first warehousing position as the first recommended object.
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