CN118014683A - Commodity sales data management method, system, equipment and medium for video content distribution platform - Google Patents

Abstract

The invention discloses a commodity sales data management method, a system, equipment and a readable storage medium of a video content release platform, and relates to the technical field of electronic sales data processing; the method comprises the following steps: receiving the uploaded video content, and matching information labels for marking commodities according to the types of the video content; acquiring a commodity content frame associated with commodity identification information in a video frame, and setting a label link at a commodity interface area corresponding to the commodity content frame; capturing clicking behaviors of a user on a label link, wherein the clicking behaviors comprise clicking times and time stamps; and acquiring the type and the willingness degree of the purchased commodity of the user, and superposing the commodity purchase label associated with the type of the purchased commodity on the video content according to the willingness degree of the purchased commodity. The video content distribution platform solves the problems that the existing video content distribution platform has defects in the aspects of automatic commodity information marking, effective utilization of user interaction data and personalized commodity recommendation, and needs improvement to improve commodity sales efficiency and user shopping experience.

Description

Commodity sales data management method, system, equipment and medium for video content distribution platform

Technical Field

The present invention relates to the field of electronic sales data processing technologies, and in particular, to a method, a system, an apparatus, and a readable storage medium for managing merchandise sales data of a video content distribution platform.

Background

With the rapid development of internet technology, video content has become a mainstream information sharing and entertainment mode. The video content distribution platform is used as an important way of information transmission and has the advantages of large user base, wide influence, high transmission speed and the like. On the basis, the combination of video content and electronic commerce, namely, the display of commodities and the sale of the commodities through video, has become an important development trend of the electronic commerce industry.

The commodity display of traditional electronic commerce is mostly still pictures and text descriptions, lacks intuitiveness and interactivity, and is difficult to provide comprehensive commodity information and shopping experience for users. The video content can show the characteristics of various aspects of commodities through the dynamic picture, so that the purchasing desire of users is enhanced. However, in the existing video electronic commerce mode, there are some drawbacks in presenting and managing merchandise information, for example: the commodity information is marked inaccurately: in the prior art, the marking of commodity information is usually carried out manually, so that the efficiency is low, marking errors are easy to occur, and the commodity information display is inaccurate; the user interaction data is underutilized: although user behavior data such as click behavior can be captured, the utilization degree of the data is low, and the influence of the data on the purchase willingness of the commodity cannot be fully analyzed; non-personalized commodity recommendation: the video content distribution platform generally provides unified commodity recommendation, and personalized purchasing requirements and preferences of users are ignored, so that the commodity recommendation accuracy is low.

In order to solve the above problems, a new commodity information management method is urgently needed to optimize commodity sales data management and user shopping experience of a video content distribution platform, label commodity information in an automatic manner, efficiently analyze user data, and provide more accurate personalized commodity recommendation; therefore, a more reasonable technical scheme needs to be provided, and the problems existing in the prior art are solved.

Disclosure of Invention

The invention aims to provide a commodity sales data management method of a video content distribution platform, which is used for solving the problems that the existing video content distribution platform has defects in the aspects of automatic commodity information marking, effective utilization of user interaction data and personalized commodity recommendation and needs improvement to improve commodity sales efficiency and user shopping experience.

In a first aspect, an embodiment of the present invention provides a method for managing merchandise sales data of a video content distribution platform, where the method includes:

Receiving uploaded video content, and matching an information tag for marking the commodity according to the type of the video content, wherein the information tag comprises commodity identification information;

Analyzing video frames in the video content to obtain commodity content frames associated with commodity identification information in the video frames, and setting label links at corresponding commodity interface areas in the commodity content frames;

Capturing clicking behaviors of a user on a label link, wherein the clicking behaviors comprise clicking times and time stamps;

Acquiring the type of the commodity purchased by the user and the purchase willingness degree according to the user information, the clicking behavior and the commodity information corresponding to the clicking behavior associated with the user, and superposing the commodity purchase label associated with the type of the commodity purchased on the video content according to the purchase willingness degree; the commodity purchase label is embedded in the video content in a virtual display mode.

Preferably, before the step of receiving the uploaded video content, the method further comprises: and acquiring the commodity data of the platform, generating a three-dimensional virtual display model according to the commodity corresponding to the acquired commodity data, and generating an information label according to the commodity data.

Preferably, after the step of superimposing the purchase label of the commodity associated with the purchase commodity type on the video content according to the purchase willingness, the method further comprises: and acquiring purchase data associated with the commodity purchase label according to the commodity, and generating a marketing layering proportion of the video uploading person according to the association degree of the commodity corresponding to the purchase data and the information label matched commodity.

Preferably, the step of embedding the commodity purchase tag in the video content by means of virtual presentation includes:

And acquiring a video content display frame, acquiring a commodity type association display area corresponding to the commodity purchase label in the content display frame, adjusting a virtual display view angle of the commodity corresponding to the commodity purchase label according to the display view angle of the association display area, and fusing the virtual display view angle with the content display frame.

In a second aspect, an embodiment of the present invention provides a merchandise sales data management system of a video content distribution platform, including:

The video content module is used for receiving the uploaded video content and matching an information tag for marking the commodity according to the type of the video content, wherein the information tag comprises commodity identification information;

the commodity link module is used for analyzing the video frames in the video content to acquire commodity content frames associated with commodity identification information in the video frames, and setting label links at corresponding commodity interface areas in the commodity content frames;

The feedback acquisition module is used for capturing clicking behaviors of the user on the label links, wherein the clicking behaviors comprise clicking times and time stamps;

the commodity display module is used for acquiring the commodity type and the purchase willingness degree of the user for purchasing according to the user information, the clicking behavior and the commodity information corresponding to the clicking behavior associated with the user, and superposing the commodity purchase label associated with the commodity type on the video content according to the purchase willingness degree; the commodity purchase label is embedded in the video content in a virtual display mode.

Preferably, the method further comprises a commodity module, before the step of receiving the uploaded video content, further comprising: and acquiring the commodity data of the platform, generating a three-dimensional virtual display model according to the commodity corresponding to the acquired commodity data, and generating an information label according to the commodity data.

Preferably, the commodity display module comprises a video profit unit, wherein the video profit unit is used for acquiring purchase data associated with the commodity purchase label according to the commodity, and generating a marketing layering proportion of a video uploader according to the association degree of the commodity corresponding to the purchase data and the information label matched with the commodity.

Preferably, the commodity display module comprises a video fusion module, which is used for acquiring a video content display frame, acquiring a commodity type associated display area corresponding to the commodity purchase label in the content display frame, and adjusting a virtual display view angle of the commodity corresponding to the commodity purchase label according to the display view angle of the associated display area and fusing the virtual display view angle with the content display frame.

In a third aspect, an embodiment of the present invention provides a computer device including a memory and a processor that are communicatively connected, where the memory is configured to store a computer program, and the processor is configured to read the computer program and execute a commodity sales data management method of a video content distribution platform according to the foregoing embodiment.

In a fourth aspect, an embodiment of the present invention proposes a computer-readable storage medium having instructions stored thereon that, when executed on a computer, perform a merchandise sales data management method of a video content distribution platform as proposed by the above-mentioned embodiment.

The beneficial effects are that: the information labels for marking the commodities are automatically matched according to the types of the video contents, video frames in the video contents are analyzed to obtain commodity content frames associated with commodity identification information, and label links are arranged in corresponding commodity interface areas, so that commodity information can be accurately displayed; capturing clicking behaviors of a user on a label link, wherein the clicking behaviors comprise clicking times and time stamps, and the clicking behaviors are helpful for understanding the type and willingness of purchasing goods of the user in depth; acquiring purchase willingness of a user according to user information and clicking behaviors, and superposing commodity purchase labels related to the types of purchased commodities on video content, so that shopping experience of the user is enhanced, and meanwhile, the purchase conversion rate of the commodities is possibly improved; personalized commodity purchasing labels are embedded in a virtual display mode, and commodity recommendation which is more in line with purchasing preferences of different users is provided. The embodiment of the invention provides a video content release platform with the functions of improving commodity information management, optimizing user interaction data utilization and improving personalized recommendation capability; therefore, the problems that the video content release platform has defects in the aspects of automatic commodity information marking, effective utilization of user interaction data and personalized commodity recommendation and needs improvement to improve commodity sales efficiency and user shopping experience are solved.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:

FIG. 1 is a flowchart of a method for managing merchandise sales data of a video content distribution platform according to an embodiment of the present invention;

Fig. 2 is a schematic functional block diagram of a commodity sales data management system of a video content distribution platform according to an embodiment of the present invention.

Detailed Description

In order to more clearly illustrate the embodiments of the invention or the solutions of the prior art, the invention will be briefly described below with reference to the accompanying drawings and the description of the embodiments or the prior art, it being apparent that the following description of the structure of the drawings is only some embodiments of the invention and that other drawings can be obtained from these drawings by a person skilled in the art without inventive effort. The description of the embodiments is provided to assist understanding of the present invention, but is not intended to limit the present invention.

In a first aspect, referring to fig. 1, a method for managing commodity sales data of a video content distribution platform according to an embodiment of the present invention is applied to a commodity sales data management system of the video content distribution platform; the merchandise sales data management system of the video content distribution platform may be executed by, but not limited to, a computer device with a certain computing resource, for example, a Personal computer (Personal Computer, PC, refer to a multipurpose computer with a size, price and performance suitable for Personal use, a desktop computer, a notebook computer, a small notebook computer, a tablet computer, an ultrabook, etc. all belong to a Personal computer), a smart phone, a Personal digital assistant (Personal DIGITAL ASSISTANT, PAD), a system server, etc. the merchandise sales data management system of the video content distribution platform may be executed by a Personal computer. The method comprises the following steps: receiving uploaded video content, and matching an information tag for marking the commodity according to the type of the video content, wherein the information tag comprises commodity identification information; analyzing video frames in the video content to obtain commodity content frames associated with commodity identification information in the video frames, and setting label links at corresponding commodity interface areas in the commodity content frames; capturing clicking behaviors of a user on a label link, wherein the clicking behaviors comprise clicking times and time stamps; acquiring the type of the commodity purchased by the user and the purchase willingness degree according to the user information, the clicking behavior and the commodity information corresponding to the clicking behavior associated with the user, and superposing the commodity purchase label associated with the type of the commodity purchased on the video content according to the purchase willingness degree; the commodity purchase label is embedded in the video content in a virtual display mode. The video content distribution platform solves the problems that the existing video content distribution platform has defects in the aspects of automatic commodity information marking, effective utilization of user interaction data and personalized commodity recommendation, and needs improvement to improve commodity sales efficiency and user shopping experience.

It should be understood that the foregoing execution subject is not limited to the embodiments of the present application, and accordingly, the operation steps of the method may be, but not limited to, those shown in the following steps S11 to S14.

Step S11, receiving the uploaded video content, and matching an information tag for marking the commodity according to the type of the video content, wherein the information tag comprises commodity identification information;

In this embodiment, video content uploaded by a content creator is received, and the uploaded video content is classified; the type of the video content is acquired, metadata of the video can be automatically identified or options of selecting video categories are provided for an uploading user, the metadata is additional information related to the video, and the type can be fashion, cooking, travel and the like. After the types corresponding to the video content are obtained, commodity information labels are matched for the video content, wherein the labels are selected according to the types corresponding to the video content and contain identification information of commodities, such as commodity names, brands, models and the like.

Step S12, analyzing video frames in the video content to obtain commodity content frames associated with commodity identification information in the video frames, and setting label links at corresponding commodity interface areas in the commodity content frames;

In specific implementation, the video frames are analyzed by utilizing image recognition or video analysis technology, and specific frames, such as commodity content frames, for displaying a certain commodity in the video frames are found out. In the video player, interactive label links are set for the identified merchandise content frames in the merchandise display area on the video. The tab link may be an icon, text, or any visual element that prompts the viewer to click on.

Step S13, capturing clicking behaviors of a user on a label link, wherein the clicking behaviors comprise clicking times and time stamps;

Tracking and capturing clicking behaviors of a user on commodity information labels in a video, wherein the clicking behaviors comprise the number of times of clicking and time stamps of each click; it will be clear that this click behavior may be stored in a back-end database and associated with the user information of the user.

Step S14, acquiring the commodity type and the purchase willingness degree of the user according to the user information, the clicking behavior and the commodity information corresponding to the clicking behavior associated with the user, and superposing the commodity purchase label associated with the commodity type on the video content according to the purchase willingness degree; the commodity purchase label is embedded in the video content in a virtual display mode.

Analyzing click behavior data of the user and user information, such as viewing history, shopping history, personal preference, etc., of the user; acquiring a purchase intention of a user for a specific commodity by using a data analysis technology such as a machine learning algorithm; and dynamically superposing commodity purchase labels corresponding to the potential purchase intention of the user on the video content when the user is identified to have higher purchase intention on a certain type of commodity. These merchandise purchase tags may be embedded in the video content by way of virtual presentations, such as image overlays, pop-ups, or other attractive UI elements.

Through the implementation mode, the video content release platform can intelligently manage commodity sales data, improves user experience, and provides an effective sales and marketing tool for content creators and merchants. This also allows users to conveniently purchase goods of interest to them while watching video content, further driving the sales of the goods. Therefore, the problems that the video content release platform has defects in the aspects of automatic commodity information marking, effective utilization of user interaction data and personalized commodity recommendation and needs improvement to improve commodity sales efficiency and user shopping experience are solved.

Preferably, before the step of receiving the uploaded video content, the method further comprises: and acquiring the commodity data of the platform, generating a three-dimensional virtual display model according to the commodity corresponding to the acquired commodity data, and generating an information label according to the commodity data.

In this embodiment, data of commodities sold on a platform needs to be collected and collated first; these data may include, among other things, the name, description, price, specifications, inventory status, etc. of the merchandise. And three-dimensional modeling is adopted to create three-dimensional virtual display models for each commodity, the models can display the commodity in a more real and dynamic mode, and the browsing experience of a user is improved. For example, for a sold chair, the platform may generate a three-dimensional model that allows the user to view different angles and details of the chair on-line. Information tags are generated from the merchandise data, which tags cover key information of the merchandise, possibly including but not limited to brands, models, prices, color options, etc., and are used for subsequent video content matching and interaction.

Receiving video content uploaded by a content creator, and automatically matching commodity information labels for the video content according to the type of the video content; analyzing video content, identifying commodity content frames, and creating tag links associated with the three-dimensional model in the corresponding commodity display area; tracking the clicking behavior of a user on the label link, capturing the clicking times and the time stamp, and associating with the user information; and evaluating the purchase willingness of the user according to the clicking behavior of the user and other related information, and superposing the commodity purchase label which is virtually displayed on the video content, so that the shopping experience of the user is enhanced. Through the optimization of the steps, not only can the commodity sales data be effectively managed, but also an online shopping experience with more immersion and strong interactivity can be provided; wherein, the three-dimensional virtual display model enables the user to more intuitively know the commodity, which is helpful to improve the purchase interest and the potential purchase conversion rate of the user.

Preferably, after the step of superimposing the purchase label of the commodity associated with the purchase commodity type on the video content according to the purchase willingness, the method further comprises: and acquiring purchase data associated with the commodity purchase label according to the commodity, and generating a marketing layering proportion of the video uploading person according to the association degree of the commodity corresponding to the purchase data and the information label matched commodity.

After the user completes the purchase by means of the merchandise purchase tag embedded in the video, these purchase data are recorded, which may include the type, quantity, time of purchase, etc. of the merchandise purchased. Analyzing the matching degree between the commodities and the information labels associated with the commodities in the video content by utilizing purchase data; the matching degree measures the effect of the commodity information label on pushing actual purchasing behavior. For example, the system may determine the validity of a particular tag by evaluating the number of purchases made through that tag link, or the conversion rate by the user clicking on a particular tag versus the proportion of purchases that are ultimately completed.

Combining the purchase data and the matching association degree of the commodity and the information label to generate the marketing layering proportion of the video uploading user; this ratio provides valuable feedback to video producers indicating how their content behaves in terms of contributing to the sales of the merchandise. Marketing hierarchy may be divided according to different criteria, such as sales, number of sales, user engagement (e.g., clicks, conversions), etc., to hierarchically evaluate or motivate uploaders. For example, if an uploader's video is able to continue to efficiently drive merchandise sales, he may be assigned a higher marketing hierarchy from which more revenue share, higher exposure, or other rewards may be obtained.

In this way, the video content distribution system is not only able to manage sales data and optimize user shopping experience, but is also able to motivate content creators to optimize their content yield based on actual sales performance. This facilitates the creation of a positive feedback loop that promotes benign interactions between video content and merchandise sales, driving the growth of the overall ecosystem.

Preferably, the step of embedding the commodity purchase tag in the video content by means of virtual presentation includes:

And acquiring a video content display frame, acquiring a commodity type association display area corresponding to the commodity purchase label in the content display frame, adjusting a virtual display view angle of the commodity corresponding to the commodity purchase label according to the display view angle of the association display area, and fusing the virtual display view angle with the content display frame.

Key frames are intercepted from the uploaded video content, and the frames are the moments when commodities appear and are discussed or displayed; analyzing the intercepted key frames, and determining commodity display areas, namely parts of the commodities actually appearing in the video; determining an optimal display viewing angle from the associated display area, including determining the position, orientation, and relative angle between the merchandise and the camera (or viewer's point of view); according to the actual angle and position of the commodity in the video, the display angle of the three-dimensional virtual model associated with the commodity purchase label is adjusted to be matched with the corresponding part of the commodity in the video, so that the virtual display model seen by a user can be displayed from a correct view angle; and embedding the adjusted virtual display model of the commodity into the key frame to ensure the natural transition of vision and high sense of reality. Through embedding the interactive three-dimensional commodity display model in the video, a user can more intuitively see the appearance of the commodity, and simultaneously click on a label on the model to acquire more information or complete purchase. Through the steps, video content and the embedded commodity purchasing label can be integrated in a seamless way visually, so that higher-level interaction experience is brought to audiences, and meanwhile, the interest of the users in commodities is promoted and sales are promoted.

In a second aspect, referring to fig. 2, a merchandise sales data management system 10 of a video content distribution platform according to an embodiment of the present invention includes:

the video content module 100 is configured to receive the uploaded video content, and match an information tag for marking a commodity according to a type of the video content, where the information tag includes commodity identification information;

In this embodiment, video content uploaded by a content creator is received, and the uploaded video content is classified; the type of the video content is acquired, metadata of the video can be automatically identified or options of selecting video categories are provided for an uploading user, the metadata is additional information related to the video, and the type can be fashion, cooking, travel and the like. After the types corresponding to the video content are obtained, commodity information labels are matched for the video content, wherein the labels are selected according to the types corresponding to the video content and contain identification information of commodities, such as commodity names, brands, models and the like.

The commodity link module 200 is used for analyzing video frames in the video content to acquire commodity content frames associated with commodity identification information in the video frames, and setting label links at corresponding commodity interface areas in the commodity content frames;

In specific implementation, the video frames are analyzed by utilizing image recognition or video analysis technology, and specific frames, such as commodity content frames, for displaying a certain commodity in the video frames are found out. In the video player, interactive label links are set for the identified merchandise content frames in the merchandise display area on the video. The tab link may be an icon, text, or any visual element that prompts the viewer to click on.

The feedback acquisition module 300 is configured to capture a click action of the user on the tag link, where the click action includes a click frequency and a timestamp;

Tracking and capturing clicking behaviors of a user on commodity information labels in a video, wherein the clicking behaviors comprise the number of times of clicking and time stamps of each click; it will be clear that this click behavior may be stored in a back-end database and associated with the user information of the user.

The commodity display module 400 is configured to obtain a commodity type and a purchase willingness degree of a user according to user information, clicking behavior and commodity information corresponding to the clicking behavior associated with the user, and superimpose a commodity purchase tag associated with the commodity type on the video content according to the purchase willingness degree; the commodity purchase label is embedded in the video content in a virtual display mode.

Analyzing click behavior data of the user and user information, such as viewing history, shopping history, personal preference, etc., of the user; acquiring a purchase intention of a user for a specific commodity by using a data analysis technology such as a machine learning algorithm; and dynamically superposing commodity purchase labels corresponding to the potential purchase intention of the user on the video content when the user is identified to have higher purchase intention on a certain type of commodity. These merchandise purchase tags may be embedded in the video content by way of virtual presentations, such as image overlays, pop-ups, or other attractive UI elements.

Through the implementation mode, the video content release platform can intelligently manage commodity sales data, improves user experience, and provides an effective sales and marketing tool for content creators and merchants. This also allows users to conveniently purchase goods of interest to them while watching video content, further driving the sales of the goods. Therefore, the problems that the video content release platform has defects in the aspects of automatic commodity information marking, effective utilization of user interaction data and personalized commodity recommendation and needs improvement to improve commodity sales efficiency and user shopping experience are solved.

Preferably, the method further comprises a commodity module, before the step of receiving the uploaded video content, further comprising: and acquiring the commodity data of the platform, generating a three-dimensional virtual display model according to the commodity corresponding to the acquired commodity data, and generating an information label according to the commodity data.

In this embodiment, data of commodities sold on a platform needs to be collected and collated first; these data may include, among other things, the name, description, price, specifications, inventory status, etc. of the merchandise. And three-dimensional modeling is adopted to create three-dimensional virtual display models for each commodity, the models can display the commodity in a more real and dynamic mode, and the browsing experience of a user is improved. For example, for a sold chair, the platform may generate a three-dimensional model that allows the user to view different angles and details of the chair on-line. Information tags are generated from the merchandise data, which tags cover key information of the merchandise, possibly including but not limited to brands, models, prices, color options, etc., and are used for subsequent video content matching and interaction.

Receiving video content uploaded by a content creator, and automatically matching commodity information labels for the video content according to the type of the video content; analyzing video content, identifying commodity content frames, and creating tag links associated with the three-dimensional model in the corresponding commodity display area; tracking the clicking behavior of a user on the label link, capturing the clicking times and the time stamp, and associating with the user information; and evaluating the purchase willingness of the user according to the clicking behavior of the user and other related information, and superposing the commodity purchase label which is virtually displayed on the video content, so that the shopping experience of the user is enhanced. Through the optimization of the steps, not only can the commodity sales data be effectively managed, but also an online shopping experience with more immersion and strong interactivity can be provided; wherein, the three-dimensional virtual display model enables the user to more intuitively know the commodity, which is helpful to improve the purchase interest and the potential purchase conversion rate of the user.

Preferably, the commodity display module 400 includes a video profit unit 410, configured to obtain purchase data associated with a commodity purchase label according to a user, and generate a marketing layering proportion of a video uploader according to association degree of a commodity corresponding to the purchase data and an information label matching commodity.

After the user completes the purchase by means of the merchandise purchase tag embedded in the video, these purchase data are recorded, which may include the type, quantity, time of purchase, etc. of the merchandise purchased. Analyzing the matching degree between the commodities and the information labels associated with the commodities in the video content by utilizing purchase data; the matching degree measures the effect of the commodity information label on pushing actual purchasing behavior. For example, the system may determine the validity of a particular tag by evaluating the number of purchases made through that tag link, or the conversion rate by the user clicking on a particular tag versus the proportion of purchases that are ultimately completed.

Combining the purchase data and the matching association degree of the commodity and the information label to generate the marketing layering proportion of the video uploading user; this ratio provides valuable feedback to video producers indicating how their content behaves in terms of contributing to the sales of the merchandise. Marketing hierarchy may be divided according to different criteria, such as sales, number of sales, user engagement (e.g., clicks, conversions), etc., to hierarchically evaluate or motivate uploaders. For example, if an uploader's video is able to continue to efficiently drive merchandise sales, he may be assigned a higher marketing hierarchy from which more revenue share, higher exposure, or other rewards may be obtained.

In this way, the video content distribution system is not only able to manage sales data and optimize user shopping experience, but is also able to motivate content creators to optimize their content yield based on actual sales performance. This facilitates the creation of a positive feedback loop that promotes benign interactions between video content and merchandise sales, driving the growth of the overall ecosystem.

Preferably, the commodity display module 400 includes a video fusion module 420, configured to obtain a video content display frame, obtain a commodity type association display area corresponding to the commodity purchase label in the content display frame, and adjust a virtual display view angle of the commodity corresponding to the commodity purchase label according to the display view angle of the association display area, and fuse the virtual display view angle with the content display frame.

Key frames are intercepted from the uploaded video content, and the frames are the moments when commodities appear and are discussed or displayed; analyzing the intercepted key frames, and determining commodity display areas, namely parts of the commodities actually appearing in the video; determining an optimal display viewing angle from the associated display area, including determining the position, orientation, and relative angle between the merchandise and the camera (or viewer's point of view); according to the actual angle and position of the commodity in the video, the display angle of the three-dimensional virtual model associated with the commodity purchase label is adjusted to be matched with the corresponding part of the commodity in the video, so that the virtual display model seen by a user can be displayed from a correct view angle; and embedding the adjusted virtual display model of the commodity into the key frame to ensure the natural transition of vision and high sense of reality. Through embedding the interactive three-dimensional commodity display model in the video, a user can more intuitively see the appearance of the commodity, and simultaneously click on a label on the model to acquire more information or complete purchase. Through the steps, video content and the embedded commodity purchasing label can be integrated in a seamless way visually, so that higher-level interaction experience is brought to audiences, and meanwhile, the interest of the users in commodities is promoted and sales are promoted.

In a third aspect, there is also provided a computer device for commodity sales data management of a video content distribution platform, including, at a hardware level: a data interface; a memory for storing instructions; the processor is configured to read the instruction stored in the memory, and execute the commodity sales data management method of the video content distribution platform according to the instruction in the first embodiment: receiving uploaded video content, and matching an information tag for marking the commodity according to the type of the video content, wherein the information tag comprises commodity identification information; analyzing video frames in the video content to obtain commodity content frames associated with commodity identification information in the video frames, and setting label links at corresponding commodity interface areas in the commodity content frames; capturing clicking behaviors of a user on a label link, wherein the clicking behaviors comprise clicking times and time stamps; acquiring the type of the commodity purchased by the user and the purchase willingness degree according to the user information, the clicking behavior and the commodity information corresponding to the clicking behavior associated with the user, and superposing the commodity purchase label associated with the type of the commodity purchased on the video content according to the purchase willingness degree; the commodity purchase label is embedded in the video content in a virtual display mode.

Optionally, the device further comprises an internal bus. The processor and memory and data interfaces may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (PERIPHERAL COMPONENT INTERCONNECT, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be divided into address buses, data buses, control buses, etc.

The Memory may include, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), flash Memory (Flash Memory), first-in first-Out Memory (First Input First Output, FIFO), and/or first-Out Memory (FIRST IN LAST Out, FILO), etc. The processor may be a general-purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but may also be a digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components.

The working process, working details and technical effects of the device according to the fourth embodiment of the present invention can be referred to the first embodiment, and are not described herein.

A fourth embodiment of the present invention provides a computer-readable storage medium storing instructions of a commodity sales data management method including the video content distribution platform of the first embodiment, that is, the computer-readable storage medium storing instructions thereon, which when executed on a computer, perform the commodity sales data management method of the video content distribution platform as in the first aspect. The computer readable storage medium refers to a carrier for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash Memory, and/or a Memory Stick (Memory Stick), etc., where the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices.

The working process, working details and technical effects of the computer readable storage medium according to the fourth embodiment of the present invention can be referred to the first embodiment, and are not described herein.

A fifth aspect of the present embodiment provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform a merchandise sales data management method of the video content distribution platform of the first embodiment, wherein the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus.

The various embodiments described above are illustrative only, in that elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware systems, or of course by means of hardware. Based on this understanding, the above-described technical solutions may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., comprising several instructions for causing a merging means of warehouse codes to perform the various embodiments or methods of certain parts of the embodiments.

Finally, it should be noted that: the above is only a preferred embodiment of the invention and is not intended to limit the scope of the invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the invention should be included in the protection scope of the invention.

Claims (10)

1. A merchandise sales data management method of a video content distribution platform, the method comprising:

Receiving uploaded video content, and matching an information tag for marking goods according to the type of the video content, wherein the information tag comprises goods identification information;

Analyzing video frames in the video content to obtain commodity content frames associated with the commodity identification information in the video frames, and setting label links at corresponding commodity interface areas in the commodity content frames;

capturing clicking behaviors of a user on the label link, wherein the clicking behaviors comprise clicking times and time stamps;

acquiring the type of the commodity purchased by the user and the purchase willingness degree according to the user information, the clicking behavior and the commodity information corresponding to the clicking behavior associated with the user, and superposing the commodity purchase label associated with the type of the commodity purchased on the video content according to the purchase willingness degree; the commodity purchase tag is embedded in the video content in a virtual display mode.

2. The merchandise sales data management method of a video content distribution platform according to claim 1, further comprising, prior to the step of receiving the uploaded video content: and acquiring the commodity data of the platform, generating a three-dimensional virtual display model according to the commodity corresponding to the acquired commodity data, and generating an information label according to the commodity data.

3. The merchandise sales data management method of the video content distribution platform according to claim 1, wherein after the step of superimposing the merchandise purchase tag associated with the purchase merchandise type on the video content according to the purchase willingness, further comprising: and acquiring purchase data associated with the commodity purchase label according to the commodity purchase label, and generating a marketing layering proportion of the video uploader according to the association degree of the commodity corresponding to the purchase data and the information label matched commodity.

4. The merchandise sales data management method of a video content distribution platform according to claim 1, wherein the step of embedding the merchandise purchase tag in the video content by way of virtual presentation comprises:

and acquiring a video content display frame, acquiring a commodity type association display area corresponding to the commodity purchase label in the content display frame, and adjusting a virtual display view angle of the commodity corresponding to the commodity purchase label according to the display view angle of the association display area and fusing the virtual display view angle with the content display frame.

5. A merchandise sales data management system of a video content distribution platform, comprising:

the video content module is used for receiving the uploaded video content, and matching an information tag for marking the commodity according to the type of the video content, wherein the information tag comprises commodity identification information;

The commodity link module is used for analyzing video frames in the video content to acquire commodity content frames associated with the commodity identification information in the video frames, and setting label links at commodity interface areas corresponding to the commodity content frames;

the feedback acquisition module is used for capturing clicking behaviors of the user on the label links, wherein the clicking behaviors comprise clicking times and time stamps;

The commodity display module is used for acquiring the commodity type and the purchase willingness degree of the user for purchasing according to the user information, the clicking behavior and the commodity information corresponding to the clicking behavior associated with the user, and superposing the commodity purchase label associated with the commodity type on the video content according to the purchase willingness degree; the commodity purchase tag is embedded in the video content in a virtual display mode.

6. The merchandise sales data management system of the video content distribution platform according to claim 5, further comprising, before the step of receiving the uploaded video content, a merchandise module further comprising: and acquiring the commodity data of the platform, generating a three-dimensional virtual display model according to the commodity corresponding to the acquired commodity data, and generating an information label according to the commodity data.

7. The merchandise sales data management system of the video content distribution platform according to claim 5, wherein the merchandise display module comprises a video profit unit for obtaining purchase data associated with the merchandise purchase tag by a user and generating a marketing layering proportion of a video uploader according to the association degree of the merchandise corresponding to the purchase data and the information tag matching merchandise.

8. The merchandise sales data management system of the video content distribution platform according to claim 5, wherein the merchandise display module comprises a video fusion module for obtaining a video content display frame, obtaining a merchandise type associated display area corresponding to the merchandise purchase tag in the content display frame, and adjusting a virtual display view angle of the merchandise purchase tag corresponding to the merchandise and fusing the merchandise display frame content according to a display view angle of the associated display area.

9. A computer device comprising a memory and a processor communicatively coupled, wherein the memory is configured to store a computer program, and the processor is configured to read the computer program and perform a merchandise sales data management method of the video content distribution platform of any one of claims 1 to 4.

10. A computer-readable storage medium having instructions stored thereon that, when executed on a computer, perform the merchandise sales data management method of the video content distribution platform of any one of claims 1 to 4.