CN111178974A - Method and device for improving multi-platform fusion - Google Patents

Method and device for improving multi-platform fusion Download PDF

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Publication number
CN111178974A
CN111178974A CN201911417056.6A CN201911417056A CN111178974A CN 111178974 A CN111178974 A CN 111178974A CN 201911417056 A CN201911417056 A CN 201911417056A CN 111178974 A CN111178974 A CN 111178974A
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song
commodity
advertisement
cover
obtaining
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CN111178974B (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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Shenzhen Yunintegral Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • 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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0269Targeted advertisements based on user profile or attribute
    • G06Q30/0271Personalized advertisement

Abstract

The invention provides a method and a device for improving multi-platform integration, which relate to the technical field of data processing and are used for obtaining a first commodity of a first shop, wherein the first shop is from a first online platform; obtaining the first advertisement information according to the first commodity, wherein the first advertisement information comprises a first advertisement graph of the first commodity; obtaining a first song listened to by a first user on a second online platform; determining a first song cover according to the first song; judging whether the first commodity and the first song have a first relevance or not; when the first commodity and the first song have first relevance, the first song cover is replaced by the first advertisement picture, so that the user preference is known from multiple dimensions in a multi-platform combined mode, the accurate marketing of an E-commerce platform is realized, the popularization degree of the commodity is improved, and the commodity purchase rate is improved.

Description

Method and device for improving multi-platform fusion
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for improving multi-platform fusion.
Background
The e-commerce platform is a platform for providing online transaction negotiation for enterprises or individuals. The enterprise electronic commerce platform is a virtual network space established on the Internet for carrying out business activities and a management environment for ensuring smooth business operation, and is an important place for coordinating and integrating information flow, material flow and fund flow in order, relevance and efficient flow. Enterprises and merchants can make full use of shared resources such as network infrastructure, payment platform, security platform, management platform and the like provided by the electronic commerce platform to effectively develop own commercial activities at low cost. At present, the electronic commerce platform and other application platforms are operated interactively, so that a multi-platform win-win situation can be achieved, users are expanded for the electronic commerce platform, and benefits are increased for the other application platforms.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
when the existing E-commerce platform is used for popularizing commodities, the user preference is not known in a multi-dimensional mode, so that the marketing accuracy is poor, and the commodity popularization degree is poor.
Disclosure of Invention
The embodiment of the invention provides a method and a device for improving multi-platform integration, solves the technical problems that in the prior art, when an e-commerce platform popularizes commodities, multi-dimensional understanding of user hobbies is lacked, so that marketing accuracy is poor, and commodity popularization degree is poor, achieves the technical effects that multi-platform combination understanding of user hobbies from multiple dimensions is achieved, accurate marketing of the e-commerce platform is realized, commodity popularization degree is improved, and commodity purchase rate is improved.
In view of the foregoing, embodiments of the present application are proposed to provide a method and apparatus for improving multi-platform convergence.
In a first aspect, the present invention provides a method for improving multi-platform fusion, the method comprising: obtaining a first item for a first store, wherein the first store is from a first online platform; obtaining the first advertisement information according to the first commodity, wherein the first advertisement information comprises a first advertisement graph of the first commodity; obtaining a first song listened to by a first user on a second online platform; determining a first song cover according to the first song; judging whether the first commodity and the first song have a first relevance or not; replacing the first song cover with the first advertisement map when the first item has a first association with the first song.
Preferably, said replacing said first song cover with said first advertisement map when said first article has a first association with said first song comprises: determining whether the first song cover and the first advertisement map have a second association; determining that the first advertisement graph has a first association relationship with the first song when the first song cover has a second association with the first advertisement graph; and replacing the first song cover with the first advertisement graph according to the first incidence relation.
Preferably, the replacing the first song cover with the first advertisement map according to the first association relationship includes:
obtaining first shopping cart information for the first user at the first online platform; judging whether the first commodity is purchased in the first shopping cart or not; and when the first commodity is purchased in the first shopping cart, replacing the first song cover with the first advertisement picture.
Preferably, the method comprises:
obtaining a first shopping tag of the first user; determining whether the first item and the first shopping tag have a third association; determining a first feature tag of the first song when the first item has a third association with the first shopping tag; judging whether the first feature tag and the first shopping tag have first similarity or not; replacing the first song cover with the first advertisement map when the first feature tag has a first similarity to the first shopping tag.
Preferably, the method comprises:
obtaining a first artist of the first song; obtaining a first agent product from the first singer; judging whether the first language product is consistent with the first commodity; determining first preference information of a first user when the first agent product is consistent with the first commodity; judging whether the first preference information and the first commodity have a fourth relevance or not; when the first preference information has a fourth relevance with the first commodity, replacing the first song cover with the first advertisement map.
Preferably, the method comprises:
obtaining first historical order information of the first user on the first online platform; determining a re-purchasing period of a second commodity according to the first historical order information; judging whether the repurchase period exceeds a first preset threshold value or not; when the re-purchasing period exceeds a first preset threshold value, determining a second commodity attribute of the second commodity; obtaining a first commodity attribute of the first commodity; judging whether the second commodity attribute and the first commodity attribute have second similarity or not; determining a second advertisement graph for the second item when the second item attribute has a second similarity to the first item attribute; determining whether the second advertisement map has a fifth association with the first song cover; when the second advertisement graph has a fifth relevance with the first song cover, the second advertisement graph is added into the cover of the first song, and a first playing sequence of the first song cover and the second advertisement graph is determined.
In a second aspect, the present invention provides an apparatus for improving multi-platform fusion, the apparatus comprising:
a first obtaining unit for obtaining a first commodity of a first store, wherein the first store is from a first online platform;
a second obtaining unit, configured to obtain the first advertisement information according to the first commodity, where the first advertisement information includes a first advertisement map of the first commodity;
a third obtaining unit for obtaining a first song listened to by a first user on a second online platform;
a first determining unit for determining a first song cover according to the first song;
the first judging unit is used for judging whether the first commodity and the first song have first relevance or not;
a first operation unit for replacing the first song cover with the first advertisement map when the first commodity has a first association with the first song.
Preferably, the replacing, in the first operation unit, the first song cover with the first advertisement map when the first article has a first association with the first song includes:
a second determination unit configured to determine whether the first song cover and the first advertisement map have a second association;
a second determination unit configured to determine that the first advertisement map has a first association relationship with the first song when the first song cover has a second association with the first advertisement map;
a second operation unit configured to replace the first song cover with the first advertisement map according to the first association relationship.
Preferably, the replacing, in the second operation unit, the first song cover with the first advertisement map according to the first association relationship includes:
a fourth obtaining unit, configured to obtain first shopping cart information of the first user on the first online platform;
the third judging unit is used for judging whether the first commodity is purchased in the first shopping cart or not;
a third operation unit for replacing the first song cover with the first advertisement map when the first commodity is purchased in the first shopping cart.
Preferably, the apparatus comprises:
a fifth obtaining unit, configured to obtain a first shopping tag of the first user;
a fourth judging unit, configured to judge whether the first item and the first shopping tag have a third association;
a third determining unit configured to determine a first feature tag of the first song when the first item has a third association with the first shopping tag;
a fifth judging unit, configured to judge whether the first feature tag and the first shopping tag have a first similarity;
a fourth operating unit for replacing the first song cover with the first advertisement map when the first feature tag has a first similarity to the first shopping tag.
Preferably, the apparatus comprises:
a sixth obtaining unit configured to obtain a first singer of the first song;
a seventh obtaining unit configured to obtain a first speech product from the first singer;
a sixth judging unit configured to judge whether the first product and the first commodity are identical;
a fourth determining unit configured to determine first preference information of a first user when the first product is identical to the first commodity;
a seventh determining unit, configured to determine whether the first preference information and the first product have a fourth association;
a fifth operation unit configured to replace the first song cover with the first advertisement map when the first preference information has a fourth association with the first commodity.
Preferably, the apparatus comprises:
an eighth obtaining unit, configured to obtain first historical order information of the first user on the first online platform;
a fifth determining unit, configured to determine a repurchase cycle of the second product according to the first historical order information;
an eighth judging unit, configured to judge whether the repurchase period exceeds a first preset threshold;
a sixth determining unit, configured to determine a second product attribute of the second product when the repurchase period exceeds a first preset threshold;
a ninth obtaining unit configured to obtain a first commodity attribute of the first commodity;
a ninth judging unit configured to judge whether the second article attribute and the first article attribute have a second similarity;
a seventh determining unit configured to determine a second advertisement map for the second item when the second item attribute has a second similarity with the first item attribute;
a tenth judging unit configured to judge whether the second advertisement map has a fifth association with the first song cover;
an eighth determining unit, configured to add the second advertisement map to the cover of the first song when the second advertisement map has a fifth association with the first song cover, and determine a first playing order of the first song cover and the second advertisement map.
In a third aspect, the present invention provides an apparatus for improving multi-platform convergence, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of any one of the above methods when executing the program.
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:
according to the method and the device for improving the multi-platform integration, the first commodity of the first shop is obtained, wherein the first shop is from a first online platform; obtaining the first advertisement information according to the first commodity, wherein the first advertisement information comprises a first advertisement graph of the first commodity; obtaining a first song listened to by a first user on a second online platform; determining a first song cover according to the first song; judging whether the first commodity and the first song have a first relevance or not; when the first commodity and the first song have the first relevance, the first song cover is replaced by the first advertisement picture, so that the technical problems that in the prior art, when a E-commerce platform popularizes commodities, multi-dimensional understanding of user hobbies is lacked, marketing accuracy is poor and commodity popularization degree is poor are solved, multi-platform combination is achieved, user hobbies are known from multiple dimensions, accurate marketing of the E-commerce platform is achieved, commodity popularization degree is improved, and commodity purchase rate is improved are achieved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for improving multi-platform fusion according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an apparatus for improving multi-platform fusion according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of another apparatus for improving multi-platform fusion according to an embodiment of the present invention.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a first determining unit 14, a first judging unit 15, a first operating unit 16, 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 improving multi-platform integration, which are used for solving the technical problems of poor marketing accuracy and poor commodity popularization degree caused by lack of multi-dimensional understanding of user preferences when an e-commerce platform populates commodities in the prior art.
The technical scheme provided by the invention has the following general idea: obtaining a first item for a first store, wherein the first store is from a first online platform; obtaining the first advertisement information according to the first commodity, wherein the first advertisement information comprises a first advertisement graph of the first commodity; obtaining a first song listened to by a first user on a second online platform; determining a first song cover according to the first song; judging whether the first commodity and the first song have a first relevance or not; when the first commodity and the first song have first relevance, the first song cover is replaced by the first advertisement picture, so that the user preference is known from multiple dimensions in a multi-platform combined mode, the accurate marketing of an E-commerce platform is realized, the popularization degree of the commodity is improved, and the commodity purchase rate is improved.
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 of a method for improving multi-platform fusion in an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for improving multi-platform fusion, where the method includes:
step 110: a first item is obtained for a first store, wherein the first store is from a first online platform.
Step 120: and obtaining the first advertisement information according to the first commodity, wherein the first advertisement information comprises a first advertisement graph of the first commodity.
Specifically, a first commodity in a first store of a first online platform is obtained, and first advertisement information of the first commodity is obtained, wherein the first advertisement information is an advertisement picture which introduces the commodity name and characteristics of the first commodity and is matched with the first commodity, and the first advertisement picture is a picture and text introduction or a picture with a speaker and the commodity of the first commodity. The first in-line platform may be a cloud point platform or the like. The product advertisement is an advertisement which introduces the name and characteristics of a product and has sales persuasion and the like as main contents, and is an advertisement which highlights the characteristics of the product by introducing related product information to a target audience so as to attract the attention of the target audience and potential consumers with the aim of promoting the sales of the product. The method strives to generate direct and instant advertising effect and leave a good product image in the mind of a target audience, thereby burying the pen for improving the market share of the product and finally realizing the target of an enterprise.
Step 130: a first song is obtained that a first user listens to on the second online platform.
Step 140: a first song cover is determined based on the first song.
Specifically, the second online platform may be application software of a music player such as QQ music. The first song is a favorite song of the first user, i.e., the first user's preferences, by obtaining the first song that the first user listens to on the second online platform and determining a first song cover for the first song. The first song cover is a photograph of the artist of the first song or a cover picture of the album to which the first song belongs, or the like. For example, if the second online platform is QQ music APP, the first song is rice, and the first song cover is photo information of the singer of the song.
Step 150: determining whether the first item has a first association with the first song.
Step 160: replacing the first song cover with the first advertisement map when the first item has a first association with the first song.
Further, the replacing the first song cover with the first advertisement map when the first article has a first association with the first song includes: determining whether the first song cover and the first advertisement map have a second association; determining that the first advertisement graph has a first association relationship with the first song when the first song cover has a second association with the first advertisement graph; and replacing the first song cover with the first advertisement graph according to the first incidence relation.
Further, the replacing the first song cover with the first advertisement map according to the first association relationship includes: obtaining first shopping cart information for the first user at the first online platform; judging whether the first commodity is purchased in the first shopping cart or not; and when the first commodity is purchased in the first shopping cart, replacing the first song cover with the first advertisement picture.
Specifically, when a first commodity of a first shop in a first online platform and a first song of a second online platform are obtained, whether the first commodity and the first song have a first correlation is judged, namely whether lyric information of the first song and the first commodity have the first correlation is judged through semantics, and if the lyric information of the first song refers to snow and the first commodity is a scarf or a cotton dress, the snow in the first song has the first correlation with the scarf or the cotton dress. The first association is an association of a characteristic of the first item with the presence of the first song. When the first commodity and the first song have the first relevance, whether the first song cover and the first advertisement map have the second relevance or not can be further judged, namely whether the character or the object in the first song cover and the first advertisement map of the first commodity have the second relevance or not, if the first song cover is a picture of a certain singer and the singer also exists in the first advertisement map, the first song cover and the first advertisement map have the second relevance. And when the first song cover and the first advertisement map have a second relevance, determining that the first advertisement map of the first commodity and the first song have a first relevance relationship, wherein the first relevance relationship is the relevance relationship between the character in the first advertisement map and the information of the first song. And according to the first association relation between the first advertisement graph and the first song, obtaining first shopping cart information of the first user on the first online platform, judging whether a first commodity is purchased in the first shopping cart, and replacing the cover of the first song with the first advertisement graph when the first commodity is purchased in the first shopping cart. In other words, the first user obtains the first shopping cart information of the first user while listening to the first song, and when the first shopping cart has the first commodity purchased, the first user indicates that the first user has the intention to purchase the first commodity, the first song cover of the first song is replaced by the first advertisement map of the first commodity.
Therefore, by the method for improving the multi-platform integration, the first song cover of the first song can be replaced by the first advertisement picture of the first commodity according to the first relevance between the first commodity of the first shop in the first online platform and the first song listened to by the first user on the second online platform, the multi-platform combination is achieved, user preference can be known from multiple dimensions, accurate marketing of the e-commerce platform is achieved, the product popularization degree is improved, and the technical effect of the commodity purchase rate is improved.
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 photograph of a first item of a first store; inputting a picture of the first commodity 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: a first merchandise, first identification information to identify a first song of a second online platform, and second identification information to identify that the first merchandise has a first association with the first song; acquiring output information of the model, wherein the output information is obtained by replacing a first song cover with a first advertisement picture; the output information of the model is obtained by utilizing the first identification information to obtain a first song and a first song cover listened to by a first user on a second online platform, and the first song cover of the first song is replaced by a first advertisement picture of the first commodity in combination with the first relevance of the first commodity and the first song in the second identification information.
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 a first shopping tag of the first user; determining whether the first item and the first shopping tag have a third association; determining a first feature tag of the first song when the first item has a third association with the first shopping tag; judging whether the first feature tag and the first shopping tag have first similarity or not; replacing the first song cover with the first advertisement map when the first feature tag has a first similarity to the first shopping tag.
Specifically, the first shopping tag is obtained by combining the identity information of the first user according to the commodity characteristics of the commodity purchased by the first user on the first online platform. After the first shopping tag of the first user is obtained, whether the first commodity and the first shopping tag have third relevance or not is judged, namely whether the commodity feature of the first commodity and the first shopping tag have the third relevance or not is judged, and if the first commodity is a camera and the first shopping tag is a shooting fan, the third relevance exists between the camera and the shooting fan. When the first item has a third association with the first shopping tag, a first feature tag of the first song is determined, such as the first feature tag of the first song is Chinese wind, travel, and the like. And judging whether the first feature tag of the first song has first similarity with the first shopping tag of the first user, and replacing the first song cover of the first commodity with the first advertisement picture of the first song when the first feature tag has the first similarity with the first shopping tag. That is, the first article has a third association with the shopping tag of the first user, and the shopping tag of the first user has a first similarity with the first feature tag of the first song, so that the first article is an article which is interested or preferred by the first user, and the first song cover of the first article is replaced with the first advertisement map of the first song.
Further, the method comprises: obtaining a first artist of the first song; obtaining a first agent product from the first singer; judging whether the first language product is consistent with the first commodity; determining first preference information of a first user when the first agent product is consistent with the first commodity; judging whether the first preference information and the first commodity have a fourth relevance or not; when the first preference information has a fourth relevance with the first commodity, replacing the first song cover with the first advertisement map.
Specifically, by obtaining a first singer of a first song and a first agent product of a first singer agent. And judging whether the first product is consistent with the first commodity, if the first product is a certain brand of milk tea, the first commodity is the brand of milk tea. When the first product is consistent with the first commodity, first preference information of the first user is determined, for example, the first preference information is tea leaves, fruit juice and the like. The fourth association is that the first preference information has similarity or association with a characteristic of the first item. And judging whether the first preference information has a fourth relevance with the first commodity or not, and replacing the first song cover with the first advertisement picture when the first preference information has the fourth relevance with the first commodity.
Further, the method comprises: obtaining first historical order information of the first user on the first online platform; determining a re-purchasing period of a second commodity according to the first historical order information; judging whether the repurchase period exceeds a first preset threshold value or not; when the re-purchasing period exceeds a first preset threshold value, determining a second commodity attribute of the second commodity; obtaining a first commodity attribute of the first commodity; judging whether the second commodity attribute and the first commodity attribute have second similarity or not; determining a second advertisement graph for the second item when the second item attribute has a second similarity to the first item attribute; determining whether the second advertisement map has a fifth association with the first song cover; when the second advertisement graph has a fifth relevance with the first song cover, the second advertisement graph is added into the cover of the first song, and a first playing sequence of the first song cover and the second advertisement graph is determined.
Specifically, by obtaining first historical order information of a first user on a first online platform, a second commodity in the first historical order information and a re-purchasing period of the second commodity are determined. The second commodity repurchase period is the time interval period for the first user to purchase the second commodity, for example, the repurchase period for the first user to purchase the baby diaper is 3 months. And setting a first preset threshold of the repurchase period according to the commodity category, wherein the first preset threshold is 180 days and the like. And judging whether the repurchase period exceeds a first preset threshold value, and determining a second commodity attribute of the second commodity when the repurchase period exceeds the first preset threshold value. And obtaining a first commodity attribute of the first commodity, and judging whether the second commodity attribute and the first commodity attribute have second similarity, if so, the second commodity attribute and the first commodity attribute belong to infant articles. When the second item attribute has a second similarity to the first item attribute, a second advertisement map for the second item is determined. It is determined whether the second advertisement map has a fifth association with the first song cover, i.e., whether the item in the second advertisement map has an association with the character in the first song cover. When the second advertisement figure has a fifth relevance with the first song cover, the second advertisement figure is added into the cover of the first song, and the first playing sequence of the first song cover and the second advertisement figure is determined. For example, if the second advertisement figure is a drink and the first song cover is a speaker of the drink, the second advertisement figure is added to the first song cover and then is played in a scrolling manner when the first user listens to the first song.
Example two
Based on the same inventive concept as the method for improving the fusion of multiple platforms in the foregoing embodiment, the present invention further provides a method and an apparatus for improving the fusion of multiple platforms, as shown in fig. 2, the apparatus includes:
a first obtaining unit 11, configured to obtain a first commodity of a first store, where the first store is from a first online platform;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain the first advertisement information according to the first commodity, where the first advertisement information includes a first advertisement map of the first commodity;
a third obtaining unit 13, the third obtaining unit 13 being configured to obtain a first song that a first user listens to on a second online platform;
a first determining unit 14, the first determining unit 14 being configured to determine a first song cover according to the first song;
a first judging unit 15, where the first judging unit 15 is configured to judge whether the first commodity and the first song have a first association;
a first operation unit 16, the first operation unit 16 being configured to replace the first song cover with the first advertisement map when the first commodity has a first association with the first song.
Further, the replacing, in the first operation unit, the first song cover with the first advertisement map when the first commodity has a first association with the first song includes:
a second determination unit configured to determine whether the first song cover and the first advertisement map have a second association;
a second determination unit configured to determine that the first advertisement map has a first association relationship with the first song when the first song cover has a second association with the first advertisement map;
a second operation unit configured to replace the first song cover with the first advertisement map according to the first association relationship.
Further, the replacing, in the second operation unit, the first song cover with the first advertisement map according to the first association relationship includes:
a fourth obtaining unit, configured to obtain first shopping cart information of the first user on the first online platform;
the third judging unit is used for judging whether the first commodity is purchased in the first shopping cart or not;
a third operation unit for replacing the first song cover with the first advertisement map when the first commodity is purchased in the first shopping cart.
Further, the apparatus comprises:
a fifth obtaining unit, configured to obtain a first shopping tag of the first user;
a fourth judging unit, configured to judge whether the first item and the first shopping tag have a third association;
a third determining unit configured to determine a first feature tag of the first song when the first item has a third association with the first shopping tag;
a fifth judging unit, configured to judge whether the first feature tag and the first shopping tag have a first similarity;
a fourth operating unit for replacing the first song cover with the first advertisement map when the first feature tag has a first similarity to the first shopping tag.
Further, the apparatus comprises:
a sixth obtaining unit configured to obtain a first singer of the first song;
a seventh obtaining unit configured to obtain a first speech product from the first singer;
a sixth judging unit configured to judge whether the first product and the first commodity are identical;
a fourth determining unit configured to determine first preference information of a first user when the first product is identical to the first commodity;
a seventh determining unit, configured to determine whether the first preference information and the first product have a fourth association;
a fifth operation unit configured to replace the first song cover with the first advertisement map when the first preference information has a fourth association with the first commodity.
Further, the apparatus comprises:
an eighth obtaining unit, configured to obtain first historical order information of the first user on the first online platform;
a fifth determining unit, configured to determine a repurchase cycle of the second product according to the first historical order information;
an eighth judging unit, configured to judge whether the repurchase period exceeds a first preset threshold;
a sixth determining unit, configured to determine a second product attribute of the second product when the repurchase period exceeds a first preset threshold;
a ninth obtaining unit configured to obtain a first commodity attribute of the first commodity;
a ninth judging unit configured to judge whether the second article attribute and the first article attribute have a second similarity;
a seventh determining unit configured to determine a second advertisement map for the second item when the second item attribute has a second similarity with the first item attribute;
a tenth judging unit configured to judge whether the second advertisement map has a fifth association with the first song cover;
an eighth determining unit, configured to add the second advertisement map to the cover of the first song when the second advertisement map has a fifth association with the first song cover, and determine a first playing order of the first song cover and the second advertisement map.
Various modifications and specific examples of the method for improving multi-platform fusibility in the first embodiment of fig. 1 are also applicable to the apparatus for improving multi-platform fusibility in the present embodiment, and through the foregoing detailed description of the method for improving multi-platform fusibility, those skilled in the art can clearly know the implementation method of the apparatus for improving multi-platform fusibility 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 improving multi-platform convergence in the foregoing embodiment, the present invention further provides an apparatus for improving multi-platform convergence, as shown in fig. 3, including a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302, wherein the processor 302 implements the steps of any one of the foregoing methods for improving multi-platform convergence 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 for improving multi-platform integration in the foregoing embodiments, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of: obtaining a first item for a first store, wherein the first store is from a first online platform; obtaining the first advertisement information according to the first commodity, wherein the first advertisement information comprises a first advertisement graph of the first commodity; obtaining a first song listened to by a first user on a second online platform; determining a first song cover according to the first song; judging whether the first commodity and the first song have a first relevance or not; replacing the first song cover with the first advertisement map when the first item has a first association with the first song.
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:
according to the method and the device for improving the multi-platform integration, the first commodity of the first shop is obtained, wherein the first shop is from a first online platform; obtaining the first advertisement information according to the first commodity, wherein the first advertisement information comprises a first advertisement graph of the first commodity; obtaining a first song listened to by a first user on a second online platform; determining a first song cover according to the first song; judging whether the first commodity and the first song have a first relevance or not; when the first commodity and the first song have the first relevance, the first song cover is replaced by the first advertisement picture, so that the technical problems that in the prior art, when a E-commerce platform popularizes commodities, multi-dimensional understanding of user hobbies is lacked, marketing accuracy is poor and commodity popularization degree is poor are solved, multi-platform combination is achieved, user hobbies are known from multiple dimensions, accurate marketing of the E-commerce platform is achieved, commodity popularization degree is improved, and commodity purchase rate is improved are achieved.
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 is 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 (9)

1. A method for improving multi-platform fusion, the method comprising:
obtaining a first item for a first store, wherein the first store is from a first online platform;
obtaining the first advertisement information according to the first commodity, wherein the first advertisement information comprises a first advertisement graph of the first commodity;
obtaining a first song listened to by a first user on a second online platform;
determining a first song cover according to the first song;
judging whether the first commodity and the first song have a first relevance or not;
replacing the first song cover with the first advertisement map when the first item has a first association with the first song.
2. The method of claim 1, wherein replacing the first song cover with the first advertisement map when the first item has a first association with the first song comprises:
determining whether the first song cover and the first advertisement map have a second association;
determining that the first advertisement graph has a first association relationship with the first song when the first song cover has a second association with the first advertisement graph;
and replacing the first song cover with the first advertisement graph according to the first incidence relation.
3. The method of claim 2, wherein said replacing the first song cover with the first advertisement map according to the first association comprises:
obtaining first shopping cart information for the first user at the first online platform;
judging whether the first commodity is purchased in the first shopping cart or not;
and when the first commodity is purchased in the first shopping cart, replacing the first song cover with the first advertisement picture.
4. The method of claim 1, wherein the method comprises:
obtaining a first shopping tag of the first user;
determining whether the first item and the first shopping tag have a third association;
determining a first feature tag of the first song when the first item has a third association with the first shopping tag;
judging whether the first feature tag and the first shopping tag have first similarity or not;
replacing the first song cover with the first advertisement map when the first feature tag has a first similarity to the first shopping tag.
5. The method of claim 1, wherein the method comprises:
obtaining a first artist of the first song;
obtaining a first agent product from the first singer;
judging whether the first language product is consistent with the first commodity;
determining first preference information of a first user when the first agent product is consistent with the first commodity;
judging whether the first preference information and the first commodity have a fourth relevance or not;
when the first preference information has a fourth relevance with the first commodity, replacing the first song cover with the first advertisement map.
6. The method of claim 1, wherein the method comprises:
obtaining first historical order information of the first user on the first online platform;
determining a re-purchasing period of a second commodity according to the first historical order information;
judging whether the repurchase period exceeds a first preset threshold value or not;
when the re-purchasing period exceeds a first preset threshold value, determining a second commodity attribute of the second commodity;
obtaining a first commodity attribute of the first commodity;
judging whether the second commodity attribute and the first commodity attribute have second similarity or not;
determining a second advertisement graph for the second item when the second item attribute has a second similarity to the first item attribute;
determining whether the second advertisement map has a fifth association with the first song cover;
when the second advertisement graph has a fifth relevance with the first song cover, the second advertisement graph is added into the cover of the first song, and a first playing sequence of the first song cover and the second advertisement graph is determined.
7. An apparatus for improving multi-platform fusion, the apparatus comprising:
a first obtaining unit for obtaining a first commodity of a first store, wherein the first store is from a first online platform;
a second obtaining unit, configured to obtain the first advertisement information according to the first commodity, where the first advertisement information includes a first advertisement map of the first commodity;
a third obtaining unit for obtaining a first song listened to by a first user on a second online platform;
a first determining unit for determining a first song cover according to the first song;
the first judging unit is used for judging whether the first commodity and the first song have first relevance or not;
a first operation unit for replacing the first song cover with the first advertisement map when the first commodity has a first association with the first song.
8. An apparatus for improving multi-platform convergence, 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 one of claims 1-6 when executing the program.
9. 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 6.
CN201911417056.6A 2019-12-31 2019-12-31 Method and device for improving multi-platform fusion Active CN111178974B (en)

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