CN111612585A - Virtual resource distribution method and device - Google Patents

Virtual resource distribution method and device Download PDF

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CN111612585A
CN111612585A CN202010441173.2A CN202010441173A CN111612585A CN 111612585 A CN111612585 A CN 111612585A CN 202010441173 A CN202010441173 A CN 202010441173A CN 111612585 A CN111612585 A CN 111612585A
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target user
item
article
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靳健林
仇雪雅
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Shanghai Minglue Artificial Intelligence Group Co Ltd
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Shanghai Minglue Artificial Intelligence Group 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
    • G06Q30/00Commerce
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    • G06Q30/0631Item recommendations
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants

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Abstract

The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for issuing virtual resources. According to the method and the device, when the target user is detected to browse the target platform, the current browsing record and the current purchasing information of the target user are obtained, the historical purchasing record of the target user is obtained from the target platform, the interested articles which are not purchased by the target user at present are determined from the historical purchasing record of the target user, or the current browsing record of the target user, or the article combination library, then the virtual resources matched with the interested articles are issued to the target user, the virtual resources corresponding to the interested articles of the target user can be issued to the target user in a targeted mode, and the conversion rate of the virtual resources can be improved.

Description

Virtual resource distribution method and device
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for issuing virtual resources.
Background
In order to improve the recognition degree and public praise of the articles of the article throwing party, the article throwing party can throw the articles into the crowd, along with the economic development and the improvement of the life quality of people, most of the entertainment activities of people are spent on the electronic equipment, and in order to improve the throwing rate of the articles in the crowd, the article throwing party can give virtual resources on the electronic equipment, so that the user is promoted to convert the virtual resources into the articles.
However, the existing virtual resource issuing methods can only issue each user at a uniform time and place, all users are treated as the same thing, and can not issue the universal virtual resource in a targeted manner for a long time, so that the conversion rate of converting the virtual resource into an article is reduced.
Disclosure of Invention
In view of this, an object of the embodiments of the present application is to provide a method and an apparatus for issuing virtual resources, where when it is detected that a target user browses a target platform, a current browsing record and current purchase information of the target user are obtained, a historical purchase record of the target user is obtained from the target platform, and an interested item that is not currently purchased by the target user is determined from a historical purchase record of the target user, or a current browsing record of the target user, or an item combination library, so as to issue a virtual resource that matches the interested item to the target user, so that a virtual resource corresponding to the interested item of the target user can be issued to the target user in a targeted manner, and a conversion rate of the virtual resource can be improved.
Mainly comprises the following aspects:
in a first aspect, an embodiment of the present application provides a method for issuing virtual resources, where the method includes:
when a target user is detected to browse a target platform, acquiring a current browsing record and current purchasing information of the target user, and extracting an identity of the target user from the target platform;
acquiring a historical purchase record of the target user according to the identity of the target user;
according to the current purchasing information of the target user, determining the interested articles which are not purchased by the target user currently from the historical purchasing record of the target user, or the current browsing record of the target user, or an article combination library; storing article combinations among various article categories in the article combination library;
and according to the determined interest item, issuing a virtual resource matched with the interest item to the target user.
In a possible implementation manner, determining, from the current browsing record of the target user according to the current purchasing information of the target user, an interest item that is not currently purchased by the target user includes:
determining a plurality of first articles in the current browsing record and browsing duration corresponding to each first article from the current browsing record of the target user;
screening out at least one first item which is not purchased currently by the target user from the plurality of first items according to the current purchase information of the target user;
and determining the first item with the longest browsing duration as the interested item according to the browsing duration corresponding to each unpurchased first item.
In a possible implementation manner, determining, from the historical purchase record of the target user according to the current purchase information of the target user, an interest item that is not currently purchased by the target user includes:
determining a plurality of second articles historically purchased by the target user according to the historical purchase record of the target user;
screening out at least one second item which is not purchased by the target user currently from the plurality of second items according to the current purchase information of the target user;
and counting the occurrence times of each unpurchased second item in the plurality of second items, and determining the second item with the highest occurrence time in the at least one second item as the interested item.
In a possible implementation manner, determining, from an item portfolio, an item of interest that is not currently purchased by the target user according to the current purchase information of the target user includes:
matching the articles currently purchased by the target user with an article combination library according to the current purchasing information of the target user, and screening out article combinations containing the articles currently purchased by the target user in the article combination library;
and screening out a third item which is not purchased currently by the target user from the item combination, and determining the third item as the interested item.
In one possible embodiment, the item portfolio is created according to the following steps:
acquiring historical purchase records of a plurality of users;
determining the item type corresponding to each item of each user in the historical purchase according to the historical purchase records of the users;
determining a plurality of article combinations of the plurality of users under each article type in historical purchase according to the determined article type corresponding to each article;
counting the times of occurrence of each article combination in the article combinations according to the article combinations;
selecting at least one article combination with the times larger than or equal to a preset threshold value from the plurality of article combinations;
and creating the item combination library according to the at least one item combination.
In a second aspect, an embodiment of the present application further provides an apparatus for issuing a virtual resource, where the apparatus includes:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring current browsing records and current purchasing information of a target user when the target user is detected to browse a target platform, and extracting an identity of the target user from the target platform;
the second acquisition module is used for acquiring the historical purchase record of the target user according to the identity of the target user;
the determining module is used for determining the interested articles which are not purchased by the target user currently from the historical purchase record of the target user, the current browsing record of the target user or the article combination library according to the current purchase information of the target user; storing article combinations among various article categories in the article combination library;
and the issuing module is used for issuing the virtual resources matched with the interest articles to the target user according to the determined interest articles.
In a possible implementation manner, the determining module is configured to determine, from the current browsing record of the target user, an interest item that is not currently purchased by the target user according to the following steps:
determining a plurality of first articles in the current browsing record and browsing duration corresponding to each first article from the current browsing record of the target user;
screening out at least one first item which is not purchased currently by the target user from the plurality of first items according to the current purchase information of the target user;
and determining the first item with the longest browsing duration as the interested item according to the browsing duration corresponding to each unpurchased first item.
In a possible embodiment, the determining module is configured to determine, from the historical purchase records of the target user, the interest items that are not currently purchased by the target user by the following steps:
determining a plurality of second articles historically purchased by the target user according to the historical purchase record of the target user;
screening out at least one second item which is not purchased by the target user currently from the plurality of second items according to the current purchase information of the target user;
and counting the occurrence times of each unpurchased second item in the plurality of second items, and determining the second item with the highest occurrence time in the at least one second item as the interested item.
In a possible implementation manner, the determining module is configured to determine, from an item combination library, an item of interest that is not currently purchased by the target user according to the following steps:
matching the articles currently purchased by the target user with an article combination library according to the current purchasing information of the target user, and screening out article combinations containing the articles currently purchased by the target user in the article combination library;
and screening out a third item which is not purchased currently by the target user from the item combination, and determining the third item as the interested item.
In one possible embodiment, the item portfolio is created according to the following steps:
acquiring historical purchase records of a plurality of users;
determining the item type corresponding to each item of each user in the historical purchase according to the historical purchase records of the users;
determining a plurality of article combinations of the plurality of users under each article type in historical purchase according to the determined article type corresponding to each article;
counting the times of occurrence of each article combination in the article combinations according to the article combinations;
selecting at least one article combination with the times larger than or equal to a preset threshold value from the plurality of article combinations;
and creating the item combination library according to the at least one item combination.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device runs, the processor and the memory communicate with each other through the bus, and when the processor runs, the machine-readable instructions perform the steps of the method for issuing virtual resources according to the first aspect or any one of the possible embodiments of the first aspect.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when executed by a processor, the computer program performs the step of issuing the virtual resource described in the first aspect or any one of the possible implementation manners of the first aspect.
In the embodiment of the application, when it is detected that the target user browses the target platform, the current browsing record and the current purchasing information of the target user are obtained, the historical purchasing record of the target user is obtained through the target platform, and the interested article which is not purchased by the target user at present is determined from the historical purchasing record of the target user, or the current browsing record of the target user, or the article combination library, so that the virtual resource matched with the interested article is issued to the target user, the virtual resource corresponding to the interested article of the target user can be issued to the target user in a targeted mode, and the conversion rate of the virtual resource can be improved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart illustrating a method for issuing virtual resources according to an embodiment of the present application;
fig. 2 is a flowchart illustrating another virtual resource issuing method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram illustrating an apparatus for issuing a virtual resource according to an embodiment of the present application;
fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
To make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and that steps without logical context may be performed in reverse order or concurrently. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It is worth noting that, before the application is provided, the existing virtual resource issuing methods can only issue each user at a uniform time and place, all users are treated as the same thing, and can not issue the virtual resources in a targeted manner, so that the universal virtual resources are issued for a long time, and the conversion rate of converting the virtual resources into articles is reduced.
In order to solve the above problems, in the embodiment of the present application, when it is detected that a target user browses a target platform, a current browsing record and current purchasing information of the target user are obtained, a historical purchasing record of the target user is obtained through the target platform, and an interested article that is not purchased by the target user currently is determined from the historical purchasing record of the target user, or the current browsing record of the target user, or an article combination library, so as to issue a virtual resource matched with the interested article to the target user, so that a virtual resource corresponding to the interested article of the target user can be specifically issued to the target user, and the conversion rate of the virtual resource can be improved.
For the convenience of understanding of the present application, the technical solutions provided in the present application will be described in detail below with reference to specific embodiments.
Fig. 1 is a flowchart of a method for issuing virtual resources according to an embodiment of the present disclosure. The virtual resource issuing method comprises the following steps:
s101: when a target user is detected to browse a target platform, acquiring the current browsing record and the current purchasing information of the target user, and extracting the identity of the target user from the target platform.
In the step, when it is detected that the target user browses the target platform, the target platform may be an online ordering platform of the catering industry, or an online shopping platform, and the like, the current browsing record of the target user when browsing the target platform and the information of the articles currently purchased by the target user are obtained, and then the identity of the target user is extracted through the target platform.
The identity of the target user includes, but is not limited to, an identification number, a mobile phone number, an email address of the target user, and a user name of the target user in the target platform.
S102: and acquiring the historical purchase record of the target user according to the identity of the target user.
In the step, according to the identity of the target user obtained in the target platform, the historical purchase record of the target user in the historical purchase is obtained from the target platform by taking the identity of the target user as a basis.
The target platform stores and retains the purchase records of the target user every time, so that all historical purchase records of the target user on the target platform can be acquired after the identity of the target user is acquired.
S103: according to the current purchasing information of the target user, determining the interested articles which are not purchased by the target user currently from the historical purchasing record of the target user, or the current browsing record of the target user, or an article combination library; and storing the item combinations among the item categories in the item combination library.
In the step, the current purchasing information of the target user is obtained, the article currently purchased by the target user can be extracted, and then the article which is not purchased by the target user currently but shows interest is determined through the current browsing information of the target user, the historical purchasing record of the target user and the article combination library.
The article combination library stores article combinations among articles corresponding to various article types, and can obtain the article combinations with more purchase times through training of a large number of historical purchase records of users.
S104: and according to the determined interest item, issuing a virtual resource matched with the interest item to the target user.
In the step, according to the determined interest items of the target user, virtual resources matched with the interest items are screened out from a virtual resource library, wherein a large number of virtual resources are stored in the virtual resource library, and each virtual resource is in one-to-one correspondence with each item, so that once the items are determined, the virtual resources matched with the items can be directly found out from the virtual resource library.
It should be noted that the virtual resource may be a coupon, a discount coupon, or an electronic coupon matched with an article, and by acquiring an interested article of the target user, the virtual resource matched with the interested article may be issued to the target user through the target platform, so that the target user converts the virtual resource into the matched article after acquiring the virtual resource matched with the interested article, and the conversion rate of the virtual resource is improved.
In the embodiment of the application, when it is detected that the target user browses the target platform, the current browsing record and the current purchasing information of the target user are obtained, the historical purchasing record of the target user is obtained through the target platform, and the interested article which is not purchased by the target user at present is determined from the historical purchasing record of the target user, or the current browsing record of the target user, or the article combination library, so that the virtual resource matched with the interested article is issued to the target user, the virtual resource corresponding to the interested article of the target user can be issued to the target user in a targeted manner, and the conversion rate of the virtual resource can be improved.
Referring to fig. 2, fig. 2 is a flowchart of another virtual resource issuing method provided in the embodiment of the present application, where the issuing method includes the following steps:
s201: and determining a plurality of first articles in the current browsing record and browsing duration corresponding to each first article from the current browsing record of the target user.
In the step, according to the obtained current browsing record of the target user, a plurality of first articles browsed by the target user and browsing duration corresponding to each browsed first article are determined from the current browsing record.
In an example, assuming that a target user currently browses 5 items, namely an item a, an item B, an item C, an item D, and an item E, in a browsing target platform, it can be obtained through a current browsing record that the item a browses for 5 minutes, the item B browses for 4 minutes, the item C browses for 6 minutes, the item D browses for 1 minute, and the item E browses for 8 minutes.
S202: and screening out at least one first item which is not purchased currently by the target user from the plurality of first items according to the current purchase information of the target user.
In this step, at least one first item that is not purchased but browsed by the target user at present may be screened out according to the obtained plurality of first items browsed by the target user in the target platform and according to the item that is purchased by the target user at present.
In an example, assuming that a target user currently browses 5 items, namely an item a, an item B, an item C, an item D, and an item E, in a browsing target platform, by acquiring current purchase information of the target user, it can be acquired that the target user currently purchases the item B and the item E, so that the items a, the item C, and the item D, which are not currently purchased but are browsed by the target user, can be screened out.
S203: and determining the first item with the longest browsing duration as the interested item according to the browsing duration corresponding to each unpurchased first item.
In the step, according to at least one first item which is screened and is not purchased but browsed by the target user currently, the browsing time length of each first item which is not purchased is compared, and the first item with the longest browsing time length is selected as the interested item of the target user.
In one example, suppose that items a, C, and D that the target user has not purchased but browsed currently are screened out, and item a browses for 5 minutes, item C browses for 6 minutes, and item D browses for 1 minute, so item C browses for the longest time, and therefore item C is determined to be an item of interest of the target user.
In a possible implementation manner, in S103, the determining, from the historical purchase record of the target user according to the current purchase information of the target user, an interest item that is not currently purchased by the target user is determined, including the following steps:
step (1): and determining a plurality of second articles historically purchased by the target user according to the historical purchase record of the target user.
In this step, the plurality of second articles historically purchased by the target user on the target platform may be acquired through the target user historical purchase record acquired on the target platform.
Step (2): and screening out at least one second item which is not purchased by the target user currently from the plurality of second items according to the current purchase information of the target user.
In this step, according to the current purchase information of the target user, the items currently purchased by the target user may be extracted, and according to the obtained plurality of second items historically purchased by the target user, at least one second item that is not currently purchased but has been historically purchased by the target user is screened out.
In an example, according to the historical purchase record of the target user, it may be obtained that the target user purchased 7 items in the target platform, including item 1, item 2, item 3, item 4, item 5, item 6, and item 7, and it may be obtained through the current purchase information of the target user that the target user currently purchased item 2, item 4, and item 5, so that the at least one second item that the target user did not currently purchase but has historically purchased includes item 1, item 3, item 6, and item 7.
And (3): and counting the occurrence times of each unpurchased second item in the plurality of second items, and determining the second item with the highest occurrence time in the at least one second item as the interested item.
In the step, at least one second item which is not purchased currently but purchased historically by the screened target user is used for counting the purchase times of each second item which is not purchased in the historical purchase of the target user, selecting the second item with the highest purchase time, and determining the second item as the interested item of the target user.
In an example, assuming that at least one second item which is not purchased currently but purchased historically by the target user is screened out to include item 1, item 3, item 6 and item 7, the number of times that each second item appears in the historical purchases of the target user is counted, wherein the item appears 20 times, the item 3 appears 10 times, the item 6 appears 5 times, and the item 7 appears 8 times, so that the highest number of times that the item 1 appears is determined to be the item of interest of the target user.
In a possible implementation manner, in S103, the determining, from an item combination library, an item of interest that is not currently purchased by the target user according to the current purchase information of the target user includes the following steps:
step (A): and matching the articles currently purchased by the target user with an article combination library according to the current purchasing information of the target user, and screening out article combinations containing the articles currently purchased by the target user in the article combination library.
In the step, according to the current purchasing information of the target user, the article currently purchased by the target user is extracted, the article currently purchased by the target user is matched with the article combination library, and the article combination containing the article currently purchased by the target user is screened out from the article combination library.
Step (B): and screening out a third item which is not purchased currently by the target user from the item combination, and determining the third item as the interested item.
In this step, third items which are not purchased by the target user but appear in the item combinations are screened out from the item combinations acquired from the item combination library, and the third items are determined as the interested items of the target user.
In one example, assuming that the currently purchased item a and item b of the target user are extracted, by matching in the item combination library, an item combination containing the currently purchased item a and item b of the target user in the item combination library is found: item a-item b-item c, item c being a third item not currently purchased by the target user but contained in the combination of items, so item c is determined to be an item of interest to the target user.
It should be noted that the first item, the second item and the third item are only items that are determined in different situations and are not currently purchased by the target user, and are only for convenience of description and have no substantial difference.
In one possible embodiment, in S103, the item portfolio is created according to the following steps:
step (a): historical purchase records of a plurality of users are obtained.
In this step, in the target platform, the historical purchase records of a plurality of users are obtained, that is, the purchased articles of each user in each purchase are stored in the target platform, so the historical purchase record of each user can be obtained in the target platform.
Step (b): and determining the item type corresponding to each item of each user in the historical purchase according to the historical purchase records of the users.
In the step, the article category corresponding to each article is determined according to the obtained articles of each user purchased in each history, wherein the article categories can be classified according to actual articles purchased in the network platform, if in the catering industry, the article categories can be classified into staple food categories, beverage categories, sweet categories and the like, if in the clothing industry, the article categories can be classified into skirt garments, trousers, underwear categories and the like, or sports categories, gentlewoman categories, aged clothes and the like.
In an example, in the catering industry, a user usually includes a staple food class, a beverage class and a snack class in food purchase, and if it is acquired that the user a purchases the staple food 1 in one historical purchase, the staple food 1 is determined as the staple food class, the beverage 3 is determined as the beverage class, the snack 2 is purchased, and the snack 2 is determined as the snack class.
Step (c): and determining a plurality of article combinations of the plurality of users under each article type in historical purchase according to the determined article type corresponding to each article.
In this step, according to the determined item type corresponding to each item of each user in the historical purchase record, a plurality of item combinations of the plurality of users under each item type in the historical purchase are determined, that is, each user purchases one item combination once, so that the plurality of users correspond to the plurality of item combinations under each item type in the plurality of historical purchase records.
Step (d): and counting the times of occurrence of each article combination in the article combinations according to the article combinations.
In this step, according to a plurality of acquired article combinations determined by a plurality of users in historical purchases, the number of times each article combination appears in the plurality of article combinations determined by the plurality of users in historical purchases is counted.
A step (e): and selecting at least one article combination with the times larger than or equal to a preset threshold value from the plurality of article combinations.
In the step, according to the obtained times of the plurality of users appearing in each article combination in the historical purchase, comparing the obtained times with a preset threshold value, and screening out the article combination corresponding to the times of the appearance of which is more than or equal to the preset threshold value, wherein the article combination is the article combination which is more frequently appeared in the historical purchase and is sought after by the vast users.
Step (f): and creating the item combination library according to the at least one item combination.
In the step, the article combinations corresponding to the times of occurrence greater than or equal to the preset threshold are stored to form an article combination library.
In one example, it is assumed that the plurality of combinations of items determined by the plurality of users in the historical purchase times obtained in the catering industry include 3 combinations of items: the combination of the staple food a-beverage b-snack c, the staple food b-beverage a-snack c and the staple food a-beverage a-snack a is stored to form an article combination library, statistics is carried out, the statistics shows that 15 times of the staple food a-beverage b-snack c appear in historical purchase, 10 times of the staple food b-beverage a-snack c appear in historical purchase, 6 times of the staple food a-beverage a-snack a appear in historical purchase, and the assumption that a preset threshold value is 10 times.
Based on the same application concept, the embodiment of the present application further provides a virtual resource issuing apparatus corresponding to the virtual resource issuing method provided in the foregoing embodiment, and since the principle of the apparatus in the embodiment of the present application for solving the problem is similar to the virtual resource issuing method in the foregoing embodiment of the present application, the implementation of the apparatus may refer to the implementation of the method, and repeated details are not described again.
Referring to fig. 3, a schematic structural diagram of an apparatus 300 for issuing virtual resources provided in the embodiment of the present application is shown, and as shown in fig. 3, the apparatus 300 for issuing virtual resources provided in the embodiment of the present application includes:
a first obtaining module 310, configured to, when it is detected that a target user browses a target platform, obtain a current browsing record and current purchase information of the target user, and extract an identity of the target user from the target platform;
a second obtaining module 320, configured to obtain a historical purchase record of the target user according to the identity of the target user;
a determining module 330, configured to determine, according to the current purchasing information of the target user, an interested item that is not purchased by the target user currently from a historical purchasing record of the target user, or a current browsing record of the target user, or an item combination library; storing article combinations among various article categories in the article combination library;
and the issuing module 340 is configured to issue a virtual resource matched with the interest item to the target user according to the determined interest item.
According to the method and the device, when it is detected that the target user browses the target platform, the current browsing record and the current purchasing information of the target user are obtained through the first obtaining module 310, the historical purchasing record of the target user is obtained from the target platform through the second obtaining module 320, the historical purchasing record of the target user, the current browsing record of the target user or the object combination library are obtained, the interested object which is not purchased by the target user at present is determined through the determining module 330, and then the virtual resource matched with the interested object is issued to the target user through the issuing module 340, so that the virtual resource corresponding to the interested object of the target user can be issued to the target user in a targeted mode, and the conversion rate of the virtual resource can be improved.
In a possible implementation manner, the determining module 330 is configured to determine, from the current browsing record of the target user, an interest item that is not currently purchased by the target user according to the following steps:
determining a plurality of first articles in the current browsing record and browsing duration corresponding to each first article from the current browsing record of the target user;
screening out at least one first item which is not purchased currently by the target user from the plurality of first items according to the current purchase information of the target user;
and determining the first item with the longest browsing duration as the interested item according to the browsing duration corresponding to each unpurchased first item.
In a possible implementation manner, the determining module 330 is configured to determine, from the historical purchase records of the target user, the interest items that are not currently purchased by the target user:
determining a plurality of second articles historically purchased by the target user according to the historical purchase record of the target user;
screening out at least one second item which is not purchased by the target user currently from the plurality of second items according to the current purchase information of the target user;
and counting the occurrence times of each unpurchased second item in the plurality of second items, and determining the second item with the highest occurrence time in the at least one second item as the interested item.
In a possible implementation manner, the determining module 330 is configured to determine, from an item combination library, an item of interest that is not currently purchased by the target user according to the following steps:
matching the articles currently purchased by the target user with an article combination library according to the current purchasing information of the target user, and screening out article combinations containing the articles currently purchased by the target user in the article combination library;
and screening out a third item which is not purchased currently by the target user from the item combination, and determining the third item as the interested item.
In one possible embodiment, the item portfolio is created according to the following steps:
acquiring historical purchase records of a plurality of users;
determining the item type corresponding to each item of each user in the historical purchase according to the historical purchase records of the users;
determining a plurality of article combinations of the plurality of users under each article type in historical purchase according to the determined article type corresponding to each article;
counting the times of occurrence of each article combination in the article combinations according to the article combinations;
selecting at least one article combination with the times larger than or equal to a preset threshold value from the plurality of article combinations;
and creating the item combination library according to the at least one item combination.
Based on the same application concept, referring to fig. 4, a schematic structural diagram of an electronic device 400 provided in the embodiment of the present application includes: a processor 410, a memory 420 and a bus 430, wherein the memory 420 stores machine-readable instructions executable by the processor 410, when the electronic device 400 is operated, the processor 410 communicates with the memory 420 via the bus 430, and the machine-readable instructions are executed by the processor 410 to perform the steps of the virtual resource issuing method as described in the above embodiments.
In particular, the machine readable instructions, when executed by the processor 410, may perform the following:
when a target user is detected to browse a target platform, acquiring a current browsing record and current purchasing information of the target user, and extracting an identity of the target user from the target platform;
acquiring a historical purchase record of the target user according to the identity of the target user;
according to the current purchasing information of the target user, determining the interested articles which are not purchased by the target user currently from the historical purchasing record of the target user, or the current browsing record of the target user, or an article combination library; storing article combinations among various article categories in the article combination library;
and according to the determined interest item, issuing a virtual resource matched with the interest item to the target user.
In the embodiment of the application, when it is detected that the target user browses the target platform, the current browsing record and the current purchasing information of the target user are obtained, the historical purchasing record of the target user is obtained from the target platform, and the interested article which is not purchased by the target user at present is determined from the historical purchasing record of the target user, or the current browsing record of the target user, or the article combination library, so that the virtual resource matched with the interested article is issued to the target user, the virtual resource corresponding to the interested article of the target user can be issued to the target user in a targeted manner, and the conversion rate of the virtual resource can be improved.
Based on the same application concept, embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the virtual resource issuing method provided in the foregoing embodiments are executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method for issuing virtual resources is characterized in that the method comprises the following steps:
when a target user is detected to browse a target platform, acquiring a current browsing record and current purchasing information of the target user, and extracting an identity of the target user from the target platform;
acquiring a historical purchase record of the target user according to the identity of the target user;
according to the current purchasing information of the target user, determining the interested articles which are not purchased by the target user currently from the historical purchasing record of the target user, or the current browsing record of the target user, or an article combination library; storing article combinations among various article categories in the article combination library;
and according to the determined interest item, issuing a virtual resource matched with the interest item to the target user.
2. The issuing method according to claim 1, wherein determining the interest item that the target user does not currently purchase from the current browsing record of the target user according to the current purchase information of the target user comprises:
determining a plurality of first articles in the current browsing record and browsing duration corresponding to each first article from the current browsing record of the target user;
screening out at least one first item which is not purchased currently by the target user from the plurality of first items according to the current purchase information of the target user;
and determining the first item with the longest browsing duration as the interested item according to the browsing duration corresponding to each unpurchased first item.
3. The issuing method according to claim 1, wherein determining the interest item that the target user does not currently purchase from the historical purchase record of the target user according to the current purchase information of the target user comprises:
determining a plurality of second articles historically purchased by the target user according to the historical purchase record of the target user;
screening out at least one second item which is not purchased by the target user currently from the plurality of second items according to the current purchase information of the target user;
and counting the occurrence times of each unpurchased second item in the plurality of second items, and determining the second item with the highest occurrence time in the at least one second item as the interested item.
4. The issuing method according to claim 1, wherein determining the interest item that the target user does not currently purchase from an item portfolio based on the current purchase information of the target user comprises:
matching the articles currently purchased by the target user with an article combination library according to the current purchasing information of the target user, and screening out article combinations containing the articles currently purchased by the target user in the article combination library;
and screening out a third item which is not purchased currently by the target user from the item combination, and determining the third item as the interested item.
5. The dispensing method of claim 1, wherein the library of item combinations is created according to the steps of:
acquiring historical purchase records of a plurality of users;
determining the item type corresponding to each item of each user in the historical purchase according to the historical purchase records of the users;
determining a plurality of article combinations of the plurality of users under each article type in historical purchase according to the determined article type corresponding to each article;
counting the times of occurrence of each article combination in the article combinations according to the article combinations;
selecting at least one article combination with the times larger than or equal to a preset threshold value from the plurality of article combinations;
and creating the item combination library according to the at least one item combination.
6. An apparatus for issuing a virtual resource, the apparatus comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring current browsing records and current purchasing information of a target user when the target user is detected to browse a target platform, and extracting an identity of the target user from the target platform;
the second acquisition module is used for acquiring the historical purchase record of the target user according to the identity of the target user;
the determining module is used for determining the interested articles which are not purchased by the target user currently from the historical purchase record of the target user, the current browsing record of the target user or the article combination library according to the current purchase information of the target user; storing article combinations among various article categories in the article combination library;
and the issuing module is used for issuing the virtual resources matched with the interest articles to the target user according to the determined interest articles.
7. The dispensing apparatus according to claim 6, wherein the determining module is configured to determine the interest item that the target user does not currently purchase from the current browsing record of the target user according to the following steps:
determining a plurality of first articles in the current browsing record and browsing duration corresponding to each first article from the current browsing record of the target user;
screening out at least one first item which is not purchased currently by the target user from the plurality of first items according to the current purchase information of the target user;
and determining the first item with the longest browsing duration as the interested item according to the browsing duration corresponding to each unpurchased first item.
8. The dispensing apparatus according to claim 6, wherein the determining module is configured to determine the interest item that the target user does not currently purchase from the historical purchase record of the target user by:
determining a plurality of second articles historically purchased by the target user according to the historical purchase record of the target user;
screening out at least one second item which is not purchased by the target user currently from the plurality of second items according to the current purchase information of the target user;
and counting the occurrence times of each unpurchased second item in the plurality of second items, and determining the second item with the highest occurrence time in the at least one second item as the interested item.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing a method of issuing virtual resources as claimed in any one of claims 1 to 5.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs a method of issuing virtual resources according to any one of claims 1 to 5.
CN202010441173.2A 2020-05-22 2020-05-22 Virtual resource distribution method and device Withdrawn CN111612585A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112365319A (en) * 2020-11-20 2021-02-12 北京沃东天骏信息技术有限公司 Method and device for displaying articles in virtual resources
CN113722498A (en) * 2021-06-17 2021-11-30 武汉理工数字传播工程有限公司 Method, device, equipment and storage medium for digital resource management
CN114596114A (en) * 2022-03-09 2022-06-07 北京京东振世信息技术有限公司 Advertisement putting method and device, storage medium and computer system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112365319A (en) * 2020-11-20 2021-02-12 北京沃东天骏信息技术有限公司 Method and device for displaying articles in virtual resources
CN113722498A (en) * 2021-06-17 2021-11-30 武汉理工数字传播工程有限公司 Method, device, equipment and storage medium for digital resource management
CN114596114A (en) * 2022-03-09 2022-06-07 北京京东振世信息技术有限公司 Advertisement putting method and device, storage medium and computer system

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