CN111159574B - Method and device for sharing information across shops - Google Patents

Method and device for sharing information across shops Download PDF

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CN111159574B
CN111159574B CN201911403428.XA CN201911403428A CN111159574B CN 111159574 B CN111159574 B CN 111159574B CN 201911403428 A CN201911403428 A CN 201911403428A CN 111159574 B CN111159574 B CN 111159574B
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store
user
commodity
shop
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CN111159574A (en
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刘铁
熊磊
许先才
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Shenzhen Yunintegral Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
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    • GPHYSICS
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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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • 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
    • G06Q50/01Social networking

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Abstract

The invention provides a method and a device for sharing information across shops, and relates to the technical field of data processing, wherein a second user and a first user have a first shopping social relationship; obtaining first purchase information of the first user in a second shop; judging whether the first commodity has first relevance with the first shopping social relationship; recommending the first commodity to the second user when the first commodity has a first relevance to the first shopping social relationship; obtaining second purchase information of the second user; judging whether the second purchase information is consistent with the first commodity or not; when the second purchase information is consistent with the first commodity, determining a first association relationship between the first store and the second store, and sending first sharing member information to the first store and the second store, so that resource sharing is performed on target users, a target user group is rapidly and effectively increased, and the technical effect of commodity purchase rate is improved.

Description

Method and device for sharing information across shops
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for cross-shop information sharing.
Background
Currently, with the continuous development of internet technology, the degree of resource sharing and information interaction using the internet is increasing, and social networking systems permit users to connect and share information with each other, communicate with each other, and more generally socialize with each other. The traditional online shopping is a shopping mode mainly based on products, the communication between people is only an auxiliary function, mainly the communication between people and objects, and moreover, the single-line contact mode is realized between the user and the commodity provider without an interactive contact mode, and certain difficulty exists in resource sharing and information interaction between the commodity providers.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
the existing online stores can not effectively share resources of target users, so that the user group of the online stores can not be rapidly and effectively increased, and the commodity purchase rate is low.
Disclosure of Invention
The embodiment of the invention provides a method and a device for sharing information across shops, and solves the technical problems that in the prior art, an online shop cannot effectively share resources of target users, so that a target user group of the online shop cannot be rapidly and effectively increased, and the commodity purchase rate is low, so that the technical effects of performing resource sharing on the target users of the online shop, achieving rapid and effective increase of the target user group, improving the popularity of the online shop, and improving the commodity purchase rate are achieved.
In view of the above, embodiments of the present application are proposed to provide a method and apparatus for sharing information across stores.
In a first aspect, the present invention provides a method of sharing information across stores, the method comprising: obtaining a first user of a first store; obtaining a second user according to the first user, wherein the second user has a first shopping social relationship with the first user; obtaining first purchase information of the first user in a second shop, wherein the first purchase information comprises a first commodity; judging whether the first commodity has first relevance with the first shopping social relationship; recommending the first commodity to the second user when the first commodity has a first relevance to the first shopping social relationship; obtaining second purchase information of the second user; judging whether the second purchase information is consistent with the first commodity or not; when the second purchase information is consistent with the first commodity, determining a first association relationship between the first store and the second store; and sending first sharing member information to the first shop and the second shop according to the first association relation.
Preferably, after obtaining the first purchase information of the first user at the second shop, the method includes:
judging whether the second shop has a second relevance with the first shopping social relationship; recommending the second store to the second user when the second store has a second relevance to the first shopping social relationship; obtaining third purchase information of the second user; determining whether the third purchase information has a third correlation with the second store; determining a first association relationship of the first store and the second store when the third purchase information has a third correlation with the second store; and sending first shared member information to the first shop and the second shop according to the first association relation.
Preferably, the method comprises:
obtaining first coupon information of the second shop which is collected by the first user; determining first sharing information of the first user according to the first coupon information, wherein the first sharing information comprises the first coupon; obtaining second coupon information of the second user according to the first sharing information; obtaining fourth purchase information of the second user; determining whether the fourth purchase information and the second coupon information have a fourth correlation; determining a first association of the first store with the second store when the fourth purchase information has a fourth correlation with the second coupon information; and sending first shared member information to the first shop and the second shop according to the first association relation.
Preferably, the method comprises:
obtaining first store attribute information of the first store; obtaining second store attribute information of the second store; judging whether the first store attribute information and the second store attribute information have a fifth correlation; when the first store attribute information and the second store attribute information have a fifth correlation, determining a first association relationship between the first store and the second store; and sending first shared member information to the first shop and the second shop according to the first association relation.
Preferably, the method comprises:
determining that the first user joins a first member group of the second shop according to the first purchase information; obtaining first group attribute information of the first member group; determining whether the first group attribute information has a sixth relevance to the first shopping social relationship; when the first group attribute information has a sixth correlation with the first shopping social relationship, sending first invitation conference information of the first member group to the second user; determining first request information for the second user to join the first member group according to the first invitation conference information; determining a first association relation between the first shop and the second shop according to the first request information; and sending first shared member information to the first shop and the second shop according to the first association relation.
In a second aspect, the present invention provides an apparatus for sharing information across stores, the apparatus comprising:
a first obtaining unit configured to obtain a first user of a first store;
a second obtaining unit, configured to obtain a second user according to the first user, where the second user has a first shopping social relationship with the first user;
a third obtaining unit, configured to obtain first purchase information of the first user at a second store, where the first purchase information includes a first product;
the first judging unit is used for judging whether the first commodity and the first shopping social relationship have first relevance or not;
a first operation unit, configured to recommend the first commodity to the second user when the first commodity has a first correlation with the first shopping social relationship;
a fourth obtaining unit, configured to obtain second purchase information of the second user;
a second determination unit configured to determine whether the second purchase information matches the first product;
a first determination unit configured to determine a first association relationship between the first store and the second store when the second purchase information matches the first item;
a second operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
Preferably, the third obtaining unit, after obtaining the first purchase information of the first user at the second store, includes:
a third judging unit, configured to judge whether the second store and the first shopping social relationship have a second relevance;
a third operation unit configured to recommend the second store to the second user when the second store has a second correlation with the first shopping social relationship;
a fifth obtaining unit, configured to obtain third purchase information of the second user;
a fourth determination unit configured to determine whether the third purchase information and the second store have a third correlation;
a second determination unit configured to determine a first association relationship between the first store and the second store when the third purchase information has a third correlation with the second store;
a fourth operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
Preferably, the apparatus comprises:
a sixth obtaining unit configured to obtain first coupon information for the first user to pick up the second store;
a third determining unit, configured to determine first sharing information of the first user according to the first coupon information, where the first sharing information includes the first coupon;
a seventh obtaining unit, configured to obtain second coupon information of the second user according to the first shared information;
an eighth obtaining unit, configured to obtain fourth purchase information of the second user;
a fifth judging unit configured to judge whether the fourth purchase information and the second coupon information have a fourth correlation;
a fourth determination unit configured to determine a first association relationship between the first store and the second store when the fourth purchase information has a fourth correlation with the second coupon information;
a fifth operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
Preferably, the apparatus comprises:
a ninth obtaining unit configured to obtain first store attribute information of the first store;
a tenth obtaining unit configured to obtain second store attribute information of the second store;
a sixth determination unit configured to determine whether the first store attribute information and the second store attribute information have a fifth correlation;
a fifth determination unit configured to determine a first association relationship between the first store and the second store when the first store attribute information has a fifth correlation with the second store attribute information;
a sixth operation unit that transmits first sharing member information to the first store and the second store according to the first association relationship.
Preferably, the apparatus comprises:
a sixth determining unit, configured to determine, according to the first purchase information, that the first user joins a first member group of the second store;
an eleventh obtaining unit, configured to obtain first group attribute information of the first member group;
a seventh determining unit, configured to determine whether the first group attribute information and the first shopping social relationship have a sixth correlation;
a seventh operation unit, configured to send first invitation conference information of the first member group to the second user when the first group attribute information has a sixth correlation with the first shopping social relationship;
a seventh determining unit, configured to determine, according to the first invitation to join information, first request information for the second user to join the first member group;
an eighth determining unit configured to determine a first association relationship between the first store and the second store according to the first request information;
an eighth operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
In a third aspect, the invention provides an apparatus for sharing information across stores, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the methods described above when the program is executed.
In a fourth aspect, the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the embodiment of the invention provides a method and a device for sharing information across shops, which are characterized in that a first user of a first shop is obtained; obtaining a second user according to the first user, wherein the second user has a first shopping social relationship with the first user; obtaining first purchase information of a first user in a second shop, wherein the first purchase information comprises a first commodity; judging whether the first commodity has first relevance with the first shopping social relationship; recommending the first commodity to the second user when the first commodity has a first relevance to the first shopping social relationship; obtaining second purchase information of the second user; judging whether the second purchase information is consistent with the first commodity or not; when the second purchase information is consistent with the first commodity, determining a first association relationship between the first shop and the second shop; and sending first shared member information to the first store and the second store according to the first association relationship, thereby solving the technical problems that in the prior art, the online stores can not effectively share resources of target users, so that the user group of the online stores can not be rapidly and effectively increased, and the commodity purchase rate is low, achieving the technical effects of performing resource sharing on the target users of the online stores, realizing rapid and effective increase of the target user group, improving the popularity of the online stores, and improving the commodity purchase rate.
The above description is only an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description so as to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for sharing information across stores in accordance with an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an apparatus for sharing information across stores in an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of another apparatus for sharing information across stores according to an embodiment of the present invention.
Description of the reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a first judging unit 14, a first operating unit 15, a fourth obtaining unit 16, a second judging unit 17, a first determining unit 18, a second operating unit 19, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the invention provides a method and a device for sharing information across shops, which are used for solving the technical problems that in the prior art, online shops cannot effectively share resources of target users, so that the user group of the online shops cannot be rapidly and effectively increased, and the commodity purchase rate is low.
The technical scheme provided by the invention has the following general idea: obtaining a first user of a first store; obtaining a second user according to the first user, wherein the second user has a first shopping social relationship with the first user; obtaining first purchase information of a first user in a second shop, wherein the first purchase information comprises a first commodity; judging whether the first commodity has first relevance with the first shopping social relationship; recommending the first commodity to the second user when the first commodity has a first relevance to the first shopping social relationship; obtaining second purchase information of the second user; judging whether the second purchase information is consistent with the first commodity or not; when the second purchase information is consistent with the first commodity, determining a first association relationship between the first shop and the second shop; and sending first shared member information to the first store and the second store according to the first association relationship, thereby achieving the technical effects of performing resource sharing on target users of online stores, realizing the rapid and effective growth of target user groups, improving the popularity of the online stores and improving the commodity purchase rate.
The technical solutions of the present invention are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present invention are described in detail in the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Example one
FIG. 1 is a schematic flow chart illustrating a method for sharing information across stores according to an embodiment of the present invention. As shown in FIG. 1, an embodiment of the invention provides a method for sharing information across stores, the method comprising:
step 110: a first user of a first store is obtained.
Step 120: a second user is obtained according to the first user, wherein the second user has a first shopping social relationship with the first user.
Specifically, a first user and a second user belong to users who have already established a first shopping social relationship, where the first shopping social relationship is determined by the first user and the second user purchasing commodity information, that is, the first shopping social relationship is determined by obtaining a commodity purchased by the first store of the online upper platform of the first user and a commodity purchased by the second user on the online upper platform, further determining a commodity attribute or a commodity category of the commodity purchased by the first user and the second user, determining whether the commodity attribute or the commodity category of the commodity purchased by the first user and the second user are related, and when the commodity attribute or the commodity category of the commodity purchased by the first user and the second user are related, further determining a relevance factor of the first user and the second user, that is, the first shopping social relationship between the first user and the second user. In the embodiment of the application, a first user of a first shop is obtained, wherein the first user is a registered member of the first shop or a user who purchases commodities in the first shop. And obtaining a second user according to the first shopping social relation of the first user.
Step 130: first purchasing information of the first user in a second shop is obtained, wherein the first purchasing information comprises a first commodity.
Specifically, the first purchase information is purchase information of the first product purchased by the first user at the second store, and the first purchase information includes order information of the first product, such as a name, an order number, a purchase time, image-text information, a material, a product attribute, a product type, a use method, and the like of the first product. The method comprises the steps of obtaining information that a first user purchases commodities in a second shop and determining that the second user does not purchase commodities in the second shop, wherein social relations do not exist between the second shop and the first shop. The first item in the first purchase information is a baby pacifier.
Step 140: and judging whether the first commodity has first relevance with the first shopping social relationship.
Step 150: recommending the first commodity to the second user when the first commodity has a first relevance to the first shopping social relationship.
Specifically, the first item purchased by the first user in the other shop is obtained in step 130, and it is determined whether the first item has a first association with the first shopping social relationship. When a first shopping social relationship is established between a first user and a second user, determining commodity attributes contained in the purchase information of the first user and the second user, further determining the commodity attributes of a first commodity, and recommending the first commodity to the second user when the commodity attributes of the first commodity and the commodity attributes in the first shopping social relationship have first correlation if the commodity attributes of the first commodity and the commodity attributes in the first shopping social relationship have similarity. When the first item has a first association with the first shopping social relationship, indicating that the second user is likely to be a target customer of the first item in the second store, the first item is recommended to the second user. The embodiment of the application also comprises the step of obtaining first evaluation information of the first user after the first user purchases the first commodity, wherein the first evaluation information is favorable evaluation information about the first commodity. And when the first commodity has a first relevance with the first shopping social relation, recommending the first commodity to the second user.
Step 160: second purchase information of the second user is obtained.
Step 170: and judging whether the second purchase information is consistent with the first commodity.
Step 180: when the second purchase information is consistent with the first commodity, a first association relationship between the first store and the second store is determined.
Step 190: and sending first shared member information to the first shop and the second shop according to the first association relation.
Specifically, after recommending first commodity information purchased by a first user to a second user, second purchase information of the second user on an online platform is obtained, wherein the second purchase information comprises the name, price, purchase time, quantity, commodity category and the like of a commodity purchased by the second user. And judging whether the second purchase information of the second user is consistent with the first commodity purchased by the first user, namely judging whether the second purchase information of the second user contains the first commodity. When the second purchase information is consistent with the first commodity, a first association relationship between the first store and the second store can be determined, wherein the first association relationship is a correlation between the commodity of the first store and the commodity of the second store, such as baby diaper in the first store, baby nipple in the second store, both of which are baby products, and the applicable range of the commodity is a baby, so that the first association relationship is between the first store and the second store. When the first association relationship between the first store and the second store indicates that the users of the first store and the second store are crossed, the first shared member information is sent to the first store and the second store, namely the first store and the second store can interactively share members of the opposite store, so that the number of members of the stores is increased, the number of target users is increased, resource sharing is realized, and benefits are won.
Further, after obtaining the first purchase information of the first user at the second shop, the method includes: judging whether the second shop has a second relevance with the first shopping social relationship; recommending the second store to the second user when the second store has a second relevance to the first shopping social relationship; obtaining third purchase information of the second user; determining whether the third purchase information has a third correlation with the second store; determining a first association relationship of the first store and the second store when the third purchase information has a third correlation with the second store; and sending first shared member information to the first shop and the second shop according to the first association relation.
Specifically, after the first purchase information of the first user in the second store is obtained, the attribute of the second store is directly compared with the first shopping social relationship, if the first social relationship is established according to the commodity attribute of the commodity purchased by the first user and the second user, whether the attribute of the second store operation commodity or the operation range of the second store and the commodity attribute of the commodity purchased by the first user and the second user have correlation or not is judged, and if the attribute of the second store operation commodity or the operation range of the second store and the commodity attribute of the commodity purchased by the first user and the second user have correlation, the second store and the first shopping social relationship have second correlation, and the second store is recommended to the second user. The product in the third purchase information of the second user is obtained, and whether the product in the third purchase information has a third correlation with the second store, that is, whether the second user purchases the product in the second store is determined. When the third purchase information has a third correlation with the second store, a first association relationship of the first store with the second store is determined. And sending first shared member information to the first store and the second store according to the first association relation, wherein the first store and the second store can share members, and target users are added.
Therefore, through the method for sharing information across stores in the embodiment, based on the first shopping social relationship that has been established by the first user and the second user, the purchase information that the first user purchases the first commodity in another store is obtained, whether the first commodity and the first shopping social relationship have the first association is judged, when the first association exists between the first commodity and the first shopping social relationship, the first commodity of the second store is recommended to the second user, and then the second purchase information of the second user is obtained, and when the second purchase information is consistent with the first commodity, it is determined that the commodity or the applicable group of the first store and the second store has the association, members of the first store and the second store are shared, so that the target store group can be rapidly and effectively increased, the popularity of the online store is increased, and the technical effect of increasing the commodity purchase rate is achieved.
Furthermore, the data fusion method in this embodiment may also be implemented by combining an Artificial Intelligence technology, wherein Artificial Intelligence (AI) is also called machine Intelligence, which is a subject for researching a computer to simulate some thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, and the like) of a human, and mainly includes a principle that the computer realizes Intelligence, and a computer similar to human brain Intelligence is manufactured, so that the computer can realize higher-level application. The method comprises the following specific steps: obtaining a photo of first purchase information of a first user in a second shop, wherein the first purchase information comprises a first commodity; inputting a picture of the first purchase information into a model, wherein the model is obtained by machine learning training using a plurality of sets of data, and each set of data in the plurality of sets of data comprises: the shopping system comprises first purchase information, first identification information and second identification information, wherein the first identification information is used for identifying first correlation of a first commodity and a first shopping social relationship, and the second identification information is used for identifying consistency of second purchase information of a second user and the first commodity; acquiring output information of the model, wherein the output information is a second shopping social relationship between the first user and the second user; the output information of the model is that when the first commodity in the first identification information has first correlation with the first shopping social relationship, second purchase information of a second user is further obtained, and when the second purchase information of the second user in the second identification information is consistent with the first commodity, the first association relationship between the first store and the second store can be determined, and first shared member information is sent to the first store and the second store.
Further, the training model in this embodiment is obtained by using machine learning training with multiple sets of data, where machine learning is a way to implement artificial intelligence, and has a certain similarity with data mining, and is also a multi-domain cross subject, and relates to multiple subjects such as probability theory, statistics, approximation theory, convex analysis, and computation complexity theory. Compared with the method for finding mutual characteristics among big data by data mining, the machine learning focuses on the design of an algorithm, so that a computer can learn rules from the data in a whitish manner, and unknown data can be predicted by using the rules.
Further, the method comprises: obtaining first coupon information of the second shop which is collected by the first user; determining first sharing information of the first user according to the first coupon information, wherein the first sharing information comprises the first coupon; obtaining second coupon information of the second user according to the first sharing information; obtaining fourth purchase information of the second user; determining whether the fourth purchase information and the second coupon information have a fourth correlation; determining a first association relationship of the first store and the second store when the fourth purchase information has a fourth correlation with the second coupon information; and sending first shared member information to the first shop and the second shop according to the first association relation.
Specifically, the first coupon information of the second store is obtained by the first user, and if the first coupon information is a share coupon, the first user shares the first coupon with three friends, so that the first user can obtain the first coupon, and meanwhile, the friends shared by the first user can also obtain the coupon of the second store. The first user shares the first coupon with the second user, and after the second user receives the first sharing information, the second user obtains the second coupon information, for example, the first user shares the coupon of the second store that is full 399 minus 50 with the second user, and then the second user obtains the coupon of the second store that is full 299 minus 30. The fourth purchase information of the second user is obtained, and it is determined whether the fourth purchase information has a fourth correlation with the second coupon information, that is, it is determined whether the second user purchases a product using the coupon at the second shop. When the fourth purchase information has a fourth correlation with the second coupon information, a first association relationship of the first store with the second store, that is, an association of the commodities of the first store with the second store is determined. And sending the first shared member information to the first store and the second store according to the first association relation, and increasing the number of target users of the stores.
Further, the method comprises: obtaining first store attribute information of the first store; obtaining second store attribute information of the second store; judging whether the first store attribute information and the second store attribute information have a fifth correlation or not; when the first store attribute information and the second store attribute information have a fifth correlation, determining a first association relationship between the first store and the second store; and sending first shared member information to the first shop and the second shop according to the first association relation.
Specifically, in the embodiment of the present application, the attributes of the stores are directly compared and determined, and the association relationship between the stores is determined, thereby realizing member sharing. By obtaining the first store attribute information of the first store and the second store attribute information of the second store, it is determined whether the first store attribute information and the second store attribute information have a fifth correlation, for example, if the first store attribute is an infant milk powder store and the second store attribute is an infant diaper, the first store attribute and the second store attribute have the fifth correlation. When the first store attribute information and the second store attribute information have a fifth correlation, a first association relationship between the first store and the second store is determined, that is, the first store and the commodity or applicable group of the second store are determined to have an association relationship. And sending the first shared member information to the first shop and the second shop according to the first association relation.
Further, the method comprises: determining that the first user joins a first member group of the second shop according to the first purchase information; obtaining first group attribute information of the first member group; determining whether the first group attribute information has a sixth relevance to the first shopping social relationship; when the first group attribute information has a sixth correlation with the first shopping social relationship, sending first invitation conference information of the first member group to the second user; determining first request information for the second user to join the first member group according to the first invitation conference information; determining a first association relation between the first shop and the second shop according to the first request information; and sending first shared member information to the first shop and the second shop according to the first association relation.
Specifically, the first user joins the first member group of the second shop according to the first purchase information of the first user in the second shop. Further, first group attribute information of the first member group is obtained, wherein the first group attribute information is determined by the product of the second store. And judging whether the first group attribute information has a sixth correlation with the first shopping social relationship, namely, whether the commodity attribute purchased according to the first shopping social relationship between the first user and the second user has the sixth correlation with the first group attribute information. And when the first group attribute information has a sixth relevance with the first shopping social relationship, sending first invitation to join information of the first member group to the second user. After the second user receives the information inviting to join the first member group, the second user sends first request information joining the first member group to the second shop, and after the second user joins the first member group, the first association relationship between the first shop and the second shop is determined according to the first request information, namely the association relationship between the applicable groups of the commodities of the first shop and the second shop is indicated. And sending the first sharing member information to the first shop and the second shop according to the first association relationship.
Example two
Based on the same inventive concept as the method for sharing information across stores in the previous embodiment, the invention also provides a method and a device for sharing information across stores, as shown in fig. 2, the device comprises:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining a first user of a first shop;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain a second user according to the first user, where the second user has a first shopping social relationship with the first user;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain first purchase information of the first user in a second store, where the first purchase information includes a first product;
a first judging unit 14, where the first judging unit 14 is configured to judge whether the first commodity and the first shopping social relationship have a first correlation;
a first operation unit 15, where the first operation unit 15 is configured to recommend the first commodity to the second user when the first commodity has a first correlation with the first shopping social relationship;
a fourth obtaining unit 16, where the fourth obtaining unit 16 is configured to obtain second purchase information of the second user;
a second determination unit 17, where the second determination unit 17 is configured to determine whether the second purchase information matches the first product;
a first determination unit 18, wherein the first determination unit 18 is configured to determine a first association relationship between the first store and the second store when the second purchase information matches the first item;
a second operation unit 19, wherein the second operation unit 19 is configured to transmit first shared member information to the first store and the second store according to the first association relationship.
Further, the third obtaining unit, after obtaining the first purchase information of the first user at the second store, includes:
a third judging unit, configured to judge whether the second shop has a second correlation with the first shopping social relationship;
a third operation unit configured to recommend the second store to the second user when the second store has a second correlation with the first shopping social relationship;
a fifth obtaining unit, configured to obtain third purchase information of the second user;
a fourth determination unit configured to determine whether the third purchase information and the second store have a third correlation;
a second determination unit configured to determine a first association relationship between the first store and the second store when the third purchase information has a third correlation with the second store;
a fourth operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
Further, the apparatus comprises:
a sixth obtaining unit configured to obtain first coupon information for the first user to pick up the second store;
a third determining unit, configured to determine first sharing information of the first user according to the first coupon information, where the first sharing information includes the first coupon;
a seventh obtaining unit, configured to obtain second coupon information of the second user according to the first shared information;
an eighth obtaining unit, configured to obtain fourth purchase information of the second user;
a fifth judging unit configured to judge whether the fourth purchase information and the second coupon information have a fourth correlation;
a fourth determination unit configured to determine a first association relationship between the first store and the second store when the fourth purchase information has a fourth correlation with the second coupon information;
a fifth operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
Further, the apparatus comprises:
a ninth obtaining unit configured to obtain first store attribute information of the first store;
a tenth obtaining unit configured to obtain second store attribute information of the second store;
a sixth determination unit configured to determine whether or not the first store attribute information and the second store attribute information have a fifth correlation;
a fifth determination unit configured to determine a first association relationship between the first store and the second store when the first store attribute information has a fifth correlation with the second store attribute information;
a sixth operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
Further, the apparatus comprises:
a sixth determining unit, configured to determine, according to the first purchase information, that the first user joins a first member group of the second store;
an eleventh obtaining unit, configured to obtain first group attribute information of the first member group;
a seventh determining unit, configured to determine whether the first group attribute information and the first shopping social relationship have a sixth correlation;
a seventh operation unit, configured to send first invitation to join information of the first member group to the second user when the first group attribute information has a sixth correlation with the first shopping social relationship;
a seventh determining unit, configured to determine, according to the first invitation to join information, first request information for the second user to join the first member group;
an eighth determining unit configured to determine a first association relationship between the first store and the second store according to the first request information;
an eighth operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
Various changes and specific examples of the method for sharing information across stores in the first embodiment of fig. 1 are also applicable to the apparatus for sharing information across stores in the present embodiment, and through the foregoing detailed description of the method for sharing information across stores, those skilled in the art can clearly know the implementation method of the apparatus for sharing information across stores in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
EXAMPLE III
Based on the same inventive concept as the method for sharing information across stores in the previous embodiment, the present invention further provides an apparatus for sharing information across stores, as shown in fig. 3, comprising a memory 304, a processor 302, and a computer program stored on the memory 304 and executable on the processor 302, wherein the processor 302 implements the steps of any one of the above-mentioned methods for sharing information across stores when executing the program.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
Example four
Based on the same inventive concept as the method of sharing information across stores in the foregoing embodiments, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, realizes the steps of: obtaining a first user of a first store; obtaining a second user according to the first user, wherein the second user has a first shopping social relationship with the first user; obtaining first purchase information of the first user in a second shop, wherein the first purchase information comprises a first commodity; judging whether the first commodity has first relevance with the first shopping social relationship; recommending the first commodity to the second user when the first commodity has a first relevance to the first shopping social relationship; obtaining second purchase information of the second user; judging whether the second purchase information is consistent with the first commodity or not; when the second purchase information is consistent with the first commodity, determining a first association relationship between the first shop and the second shop; and sending first shared member information to the first shop and the second shop according to the first association relation.
In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the embodiment of the invention provides a method and a device for sharing information across shops, which are characterized in that a first user of a first shop is obtained; obtaining a second user according to the first user, wherein the second user has a first shopping social relationship with the first user; obtaining first purchase information of a first user in a second shop, wherein the first purchase information comprises a first commodity; judging whether the first commodity has first relevance with the first shopping social relationship; recommending the first commodity to the second user when the first commodity has a first correlation with the first shopping social relationship; obtaining second purchase information of the second user; judging whether the second purchase information is consistent with the first commodity or not; when the second purchase information is consistent with the first commodity, determining a first association relationship between the first shop and the second shop; and sending first shared member information to the first store and the second store according to the first association relationship, thereby solving the technical problems that in the prior art, the online stores can not effectively share resources of target users, so that the user group of the online stores can not be rapidly and effectively increased, and the commodity purchase rate is low, achieving the technical effects of performing resource sharing on the target users of the online stores, realizing rapid and effective increase of the target user group, improving the popularity of the online stores, and improving the commodity purchase rate.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (8)

1. A method of sharing information across stores, the method comprising:
obtaining a first user of a first store;
obtaining a second user according to the first user, wherein the second user has a first shopping social relationship with the first user;
obtaining first purchase information of a first user in a second shop, wherein the first purchase information comprises a first commodity;
judging whether the first commodity has first relevance with the first shopping social relationship;
recommending the first commodity to the second user when the first commodity has a first correlation with the first shopping social relationship;
obtaining second purchase information of the second user;
judging whether the second purchase information is consistent with the first commodity or not;
when the second purchase information is consistent with the first commodity, determining a first association relationship between the first store and the second store;
and sending first shared member information to the first shop and the second shop according to the first association relation.
2. The method of claim 1, wherein obtaining the first purchase information of the first user at the second store comprises:
judging whether the second shop has a second relevance with the first shopping social relationship;
recommending the second store to the second user when the second store has a second relevance to the first shopping social relationship;
obtaining third purchase information of the second user;
determining whether the third purchase information has a third correlation with the second store;
determining a first association relationship of the first store and the second store when the third purchase information has a third correlation with the second store;
and sending first shared member information to the first shop and the second shop according to the first association relation.
3. The method of claim 1, wherein the method comprises:
obtaining first coupon information of the second shop which is collected by the first user;
determining first sharing information of the first user according to the first coupon information, wherein the first sharing information comprises the first coupon;
obtaining second coupon information of the second user according to the first sharing information;
obtaining fourth purchase information of the second user;
determining whether the fourth purchase information and the second coupon information have a fourth correlation;
determining a first association relationship of the first store and the second store when the fourth purchase information has a fourth correlation with the second coupon information;
and sending first sharing member information to the first shop and the second shop according to the first association relation.
4. The method of claim 1, wherein the method comprises:
obtaining first store attribute information of the first store;
obtaining second store attribute information of the second store;
judging whether the first store attribute information and the second store attribute information have a fifth correlation;
when the first store attribute information and the second store attribute information have a fifth correlation, determining a first association relationship between the first store and the second store;
and sending first shared member information to the first shop and the second shop according to the first association relation.
5. The method of claim 1, wherein the method comprises:
determining that the first user joins a first member group of the second shop according to the first purchase information;
obtaining first group attribute information of the first member group;
determining whether the first group attribute information has a sixth relevance to the first shopping social relationship;
when the first group attribute information has a sixth correlation with the first shopping social relationship, sending first invitation conference information of the first member group to the second user;
determining first request information for the second user to join the first member group according to the first invitation conference information;
determining a first association relation between the first shop and the second shop according to the first request information;
and sending first shared member information to the first shop and the second shop according to the first association relation.
6. An apparatus to share information across stores, the apparatus comprising:
a first obtaining unit configured to obtain a first user of a first store;
a second obtaining unit, configured to obtain a second user according to the first user, where the second user has a first shopping social relationship with the first user;
a third obtaining unit, configured to obtain first purchase information of the first user at a second store, where the first purchase information includes a first product;
the first judging unit is used for judging whether the first commodity and the first shopping social relationship have first relevance or not;
a first operation unit, configured to recommend the first commodity to the second user when the first commodity has a first correlation with the first shopping social relationship;
a fourth obtaining unit, configured to obtain second purchase information of the second user;
a second determination unit configured to determine whether the second purchase information matches the first product;
a first determination unit configured to determine a first association relationship between the first store and the second store when the second purchase information matches the first item;
a second operation unit configured to transmit first shared member information to the first store and the second store according to the first association relationship.
7. An apparatus for sharing information across stores, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any of claims 1-5 when executing the program.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
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Publication number Priority date Publication date Assignee Title
CN112667897A (en) * 2020-12-29 2021-04-16 上海掌门科技有限公司 Information push method, equipment and storage medium
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108109013A (en) * 2017-12-29 2018-06-01 苏州微客派网络科技有限公司 A kind of shared member system
CN108694658A (en) * 2018-07-31 2018-10-23 深圳春沐源控股有限公司 A kind of merchandise news method for pushing, relevant apparatus and storage medium
CN108960992A (en) * 2018-06-29 2018-12-07 黄宗治 A kind of information recommendation method and relevant device
CN109102346A (en) * 2017-06-20 2018-12-28 中兴通讯股份有限公司 A kind of method and device that shopping information is shared, obtained
CN109308652A (en) * 2018-10-12 2019-02-05 广州快批信息科技有限公司 Wholesale method, system, terminal device and storage medium on line

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109102346A (en) * 2017-06-20 2018-12-28 中兴通讯股份有限公司 A kind of method and device that shopping information is shared, obtained
CN108109013A (en) * 2017-12-29 2018-06-01 苏州微客派网络科技有限公司 A kind of shared member system
CN108960992A (en) * 2018-06-29 2018-12-07 黄宗治 A kind of information recommendation method and relevant device
CN108694658A (en) * 2018-07-31 2018-10-23 深圳春沐源控股有限公司 A kind of merchandise news method for pushing, relevant apparatus and storage medium
CN109308652A (en) * 2018-10-12 2019-02-05 广州快批信息科技有限公司 Wholesale method, system, terminal device and storage medium on line

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