CN112565805A - Multi-interface video live broadcast e-commerce platform based on big data - Google Patents
Multi-interface video live broadcast e-commerce platform based on big data Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/735—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/74—Browsing; Visualisation therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/485—End-user interface for client configuration
- H04N21/4858—End-user interface for client configuration for modifying screen layout parameters, e.g. fonts, size of the windows
Abstract
The invention discloses a big data-based multi-interface video live broadcast electronic commerce platform, which comprises an interface split screen module, an interface selection module, a user watching recording module, a commodity attribute counting module, a commodity attribute processing module, a commodity amount extraction module, a commodity amount analysis module, an analysis server, a storage database, a platform data processing center, an interest coefficient sorting module and an interface filling module, wherein the interface split screen module is used for displaying the information of the user watching recording module; according to the method, the live broadcast video playing interface in the electronic commerce platform is subjected to screen splitting, various attribute quantization data in detailed information of recommended commodities in live broadcast videos watched by users are counted, the sum of the recommended commodities is extracted, the comprehensive interest prediction coefficient of the users on the recommended commodities in the live broadcast videos watched by the users is calculated, meanwhile, the live broadcast videos meeting the user interest in the platform are analyzed, and the live broadcast video playing interfaces of the types selected by the users are filled in sequence, so that the purchasing efficiency of the users is improved, and the user experience and the user viscosity of the platform are improved conveniently.
Description
Technical Field
The invention relates to the technical field of multi-interface video playing, in particular to a big data-based multi-interface video live broadcast e-commerce platform.
Background
With the arrival of the internet era, various live broadcast platforms are continuously developed, a user can know commodity experience at any time more easily through live video broadcast of electronic commerce, the video broadcast platform is not limited by regions and time, quick drainage and efficient purchasing power conversion can be achieved, and therefore economic consumption is effectively stimulated.
At present, the existing electronic commerce video live broadcast platform still has some defects, the function of the live broadcast video playing interface in the existing electronic commerce platform is single, and only the live broadcast video can be played on a single interface, so that the user can not simultaneously compare the commodities recommended in each live broadcast video, thereby wasting a large amount of watching time of the user, reducing the interest and expectation of the user, being not beneficial to improving the user experience and the user viscosity of the live broadcast platform, meanwhile, the existing electronic commerce platform can not estimate the interest degree of the user in watching recommended commodities in the live video, so that the platform cannot accurately recommend the commodities meeting the user interest, the purchasing desire of the user is reduced, the commodity purchasing efficiency of the user is reduced, and reduces the overall profit of the merchant, so that the development and progress of the electronic commerce platform are influenced, in order to solve the problems, a multi-interface video live broadcast e-commerce platform based on big data is designed.
Disclosure of Invention
The invention aims to provide a big data-based multi-interface video live broadcast electronic commerce platform, which is characterized in that a live broadcast video playing interface in the electronic commerce platform is split, the detailed information of recommended commodities in live broadcast videos watched by a user is simultaneously screened, the quantized data of each attribute in the detailed information of the recommended commodities in the live broadcast videos watched by the user is counted, the sum of the recommended commodities in the live broadcast videos watched by the user is extracted, the commodity valuable grade corresponding to the sum of the commodities is analyzed, the comprehensive interest prediction coefficient of the recommended commodities in the live broadcast videos watched by the user is calculated, the comprehensive interest prediction coefficient of the recommended commodities in other live broadcast videos in the electronic commerce platform is simultaneously predicted, each live broadcast video meeting the user interest in the electronic commerce platform is analyzed and counted, and the type video playing interfaces selected by the user are sequentially filled according to the sequence, and play is performed, solving the problems existing in the background technology.
The purpose of the invention can be realized by the following technical scheme:
the big data-based multi-interface video live broadcast e-commerce platform comprises an interface split screen module, an interface selection module, a user watching recording module, a commodity attribute counting module, a commodity attribute processing module, a commodity amount extraction module, a commodity amount analysis module, an analysis server, a storage database, a platform data processing center, an interest coefficient sorting module and an interface filling module;
the analysis server is respectively connected with the user viewing record module, the commodity attribute counting module, the commodity attribute processing module, the commodity amount extraction module, the commodity amount analysis module, the storage database and the platform data processing center, the storage database is respectively connected with the interface split screen module and the commodity amount analysis module, the interface selection module is connected with the user viewing record module, the commodity attribute counting module is connected with the commodity attribute processing module, the commodity amount extraction module is connected with the commodity amount analysis module, and the interest coefficient sorting module is respectively connected with the platform data processing center and the interface filling module;
the interface split-screen module is used for splitting a live broadcast video playing interface in the electronic commerce platform, dividing the live broadcast video playing interface in the electronic commerce platform into four types of live broadcast video playing interfaces according to different split-screen rule sequences, wherein the four types of live broadcast video playing interfaces are a vertical live broadcast video playing interface, a horizontal live broadcast video playing interface, a surrounding live broadcast video playing interface and a grid type live broadcast video playing interface respectively, and sending the four types of live broadcast video playing interfaces of split screens to a storage database;
the interface selection module is used for selecting a live video playing interface of the electronic commerce platform, inputting account information into a login interface of the electronic commerce platform through a user for login, selecting the type of the live video playing interface of the electronic commerce platform after the login is successful, and sending the type of the live video playing interface selected by the user to the user watching recording module;
the user watching recording module is used for receiving a type live video playing interface selected by the user and sent by the interface selection module, the user watches live videos in the electronic commerce platform according to personal preference and requirements, the live videos watched by the user are played on a main interface of the received type live video playing interface, meanwhile, live videos watched by the user are recorded, and the recorded live videos watched by the user are sent to the analysis server;
the analysis server is used for receiving live videos watched by the user and sent by the user watching recording module, extracting detailed information of recommended commodities in the live videos in the electronic commerce platform stored in the storage database, screening the detailed information of the recommended commodities in the live videos watched by the user, and sending the screened detailed information of the recommended commodities in the live videos watched by the user to the commodity attribute counting module and the commodity amount extraction module respectively;
the commodity attribute counting module is used for receiving detailed information of recommended commodities in the live video watched by the user and sent by the analysis server, counting each attribute in the detailed information of the recommended commodities in the live video watched by the user, and forming each attribute set R (R) in the detailed information of the recommended commodities in the live video watched by the user1,r2,r3,r4,r5)，r1Item category in detailed information representing recommended items in live video being watched by user, r2Commodity specification, r, in detailed information representing recommended commodities in live video being watched by user3Item model in detailed information, r, representing recommended items in live video being watched by a user4Commodity features in detailed information, r, representing recommended commodities in live video being watched by a user5The method comprises the steps that the commodity usage in the detailed information of recommended commodities in the live video watched by a user is shown, and each attribute set in the detailed information of the recommended commodities in the live video watched by the user is sent to a commodity attribute processing module;
the property of the commodityThe processing module is used for receiving each attribute set in the detailed information of the recommended commodities in the live video watched by the user and sent by the commodity attribute counting module, carrying out quantitative data processing on each attribute in the detailed information of the recommended commodities in the live video watched by the user, and forming each attribute quantitative data set SR (SR) in the detailed information of the recommended commodities in the live video watched by the user1,sr2,sr3,sr4,sr5)，sr1、sr2、sr3、sr4、sr5The method comprises the steps of respectively representing commodity category quantitative data, commodity specification quantitative data, commodity model quantitative data, commodity feature quantitative data and commodity usage quantitative data in detailed information of recommended commodities in a live video watched by a user, and sending attribute quantitative data in the detailed information of the recommended commodities in the live video watched by the user to an analysis server in a set manner;
the commodity amount extraction module is used for receiving detailed information of recommended commodities in the live video watched by the user and sent by the analysis server, extracting the commodity amount in the received detailed information of the recommended commodities in the live video watched by the user and recording the commodity amount as Y, and sending the commodity amount in the extracted detailed information of the recommended commodities in the live video watched by the user to the commodity amount analysis module;
the commodity amount analysis module is used for receiving the commodity amount in the detailed information of the recommended commodity in the live video watched by the user, which is sent by the commodity amount extraction module, extracting a standard amount interval corresponding to the valuables in the electronic commerce platform, which is stored in the storage database, comparing the commodity amount in the received detailed information of the recommended commodity in the live video watched by the user with the standard amount interval corresponding to the valuables in the electronic commerce platform, screening the commodity valuables grade corresponding to the commodity amount in the detailed information of the recommended commodity in the live video watched by the user, and sending the valuables grade corresponding to the recommended commodity in the live video watched by the user to the analysis server;
the analysis server is used for receiving attribute quantized data sets in commodity detailed information recommended by live video watched by a user and sent by the commodity attribute processing module, receiving valuable grades corresponding to recommended commodities in the live video watched by the user and sent by the commodity amount analysis module, extracting weight proportion coefficients of the attribute quantized data of the commodities stored in the storage database and correction influence coefficients of the valuable grades of the commodities, calculating comprehensive interest prediction coefficients of the user on the recommended commodities in the live video watched by the user, and sending the calculated comprehensive interest prediction coefficients of the user on the recommended commodities in the live video watched by the user to the platform data processing center;
the storage database is used for receiving four types of live video playing interfaces sent by the interface split screen module, storing detailed information of recommended commodities in each live video in the electronic commerce platform, storing standard amount intervals corresponding to the valuables of each commodity in the electronic commerce platform, storing weight proportion coefficients of category quantization data, specification quantization data, model quantization data, characteristic quantization data and use quantization data of the commodities, and recording the weight proportion coefficients as lambda1,λ2,λ3,λ4,λ5And storing the correction influence coefficient of the value grade of each commodity;
the platform data processing center is used for receiving a comprehensive interest prediction coefficient of a user for recommending commodities in a live video which is watched and sent by the analysis server, simultaneously predicting comprehensive interest prediction coefficients of the user for recommending commodities in other live videos in the electronic commerce platform, comparing the received comprehensive interest prediction coefficient of the user for recommending commodities in the live video which is watched with the comprehensive interest prediction coefficient of recommending commodities in other live videos in the electronic commerce platform one by one, if the comprehensive interest prediction coefficient of the user for recommending commodities in other live videos in the electronic commerce platform is smaller than the comprehensive interest prediction coefficient of recommending commodities in the live video which is watched, it is shown that the live video in the electronic commerce platform does not meet the user interest, and if the comprehensive interest prediction coefficient of the user for recommending commodities in other live videos in the electronic commerce platform is larger than or equal to the comprehensive interest prediction coefficient of recommending commodities in the live video which is watched The comprehensive interest prediction coefficients of the commodities show that the live videos in the electronic commerce platform meet the user interests, the comprehensive interest prediction coefficients of the recommended commodities in the live videos which meet the user interests in the electronic commerce platform are counted, and the comprehensive interest prediction coefficients of the recommended commodities in the live videos which meet the user interests in the electronic commerce platform are sent to an interest coefficient ordering module;
the interest coefficient ordering module is used for receiving comprehensive interest estimation coefficients of recommended commodities in live videos which meet user interests in an electronic commerce platform and are sent by a platform data processing center, ordering the comprehensive interest estimation coefficients of the recommended commodities in the live videos which meet the user interests in the electronic commerce platform, ordering the comprehensive interest estimation coefficients in sequence according to the magnitude sequence of the comprehensive interest estimation coefficients, counting the live videos which meet the user interests in the ordered electronic commerce platform, and sending the live videos which meet the user interests in the ordered electronic commerce platform to the interface filling module;
the interface filling module is used for receiving all live videos which meet the user interest in the sequenced e-commerce platform and are sent by the interest coefficient sequencing module, sequentially filling the live videos in a sub-interface of a type live video playing interface selected by the user according to the sequence, and playing the live videos;
furthermore, the vertical live video playing interfaces are in a screen-splitting regular sequence from top to bottom, and the top is a main interface; the horizontal live video playing interfaces are in a screen-splitting regular sequence from left to right, and the leftmost side is a main interface; the surrounding type live broadcast video playing interfaces are in a screen splitting regular sequence of a nine-square grid, and the middle is a main interface; the grid type live broadcast video playing interface is a grid split screen rule sequence, and the top of the leftmost side is a main interface;
further, the detailed information of the commodity comprises commodity category, commodity specification, commodity model, commodity characteristics, commodity usage and commodity amount;
further, the commodity valuable grades comprise first-grade valuable commodities, second-grade valuable commodities, third-grade valuable commodities, fourth-grade valuable commodities and fifth-grade valuable commodities;
furthermore, the standard amount interval corresponding to the first-level valuable commodity is 0-199 yuan, the standard amount interval corresponding to the second-level valuable commodity is 200-499 yuan, the standard amount interval corresponding to the third-level valuable commodity is 500-999 yuan, the standard amount interval corresponding to the fourth-level valuable commodity is 1000-4999 yuan, and the standard amount interval corresponding to the fifth-level valuable commodity is more than 4999 yuan;
further, the calculation formula of the comprehensive interest prediction coefficient of the user on the recommended commodities in the watched live video is
ξ is a comprehensive interest prediction coefficient, lambda, of the user for recommended commodities in the live video being watched1,λ2,λ3,λ4,λ5Weight scale coefficient, sr, expressed as category quantized data, specification quantized data, model quantized data, feature quantized data, and usage quantized data of the commodity1、sr2、sr3、sr4、sr5A commodity category quantization data, a commodity specification quantization data, a commodity model quantization data, a commodity characteristic quantization data and a commodity usage quantization data in the detailed information of the recommended commodity in the live video which is watched by the user are respectively expressed, e is a natural number which is equal to 2.718, muYAnd Y represents the sum of the commodities in the detailed information of the recommended commodities in the live video watched by the user.
Has the advantages that:
(1) the big data-based multi-interface video live broadcast electronic commerce platform provided by the invention has the advantages that the live broadcast video play interface in the electronic commerce platform has diversified functions by dividing the screen of the live broadcast video play interface in the electronic commerce platform, meanwhile, the detailed information of recommended commodities in live broadcast videos watched by users is screened, the quantized data of each attribute in the detailed information of the recommended commodities in the live broadcast videos watched by the users are counted, reliable reference data are provided for later-stage calculation of the comprehensive interest prediction coefficient of the recommended commodities in the live broadcast videos watched by the users, the sum of the recommended commodities in the live broadcast videos watched by the users is extracted, the commodity value corresponding to the sum of the commodities is analyzed, the comprehensive interest prediction coefficient of the recommended commodities in the live broadcast videos watched by the users is calculated, and meanwhile, the comprehensive interest prediction coefficient of the recommended commodities in other videos in the electronic commerce platform by the users is predicted, the live videos meeting the user interests in the electronic commerce platform are analyzed and counted, and the platform can accurately recommend commodities meeting the user interests, so that the purchasing desire and commodity purchasing efficiency of the user are improved, the total income of merchants is increased, and the development and progress of the electronic commerce platform are promoted.
(2) According to the method and the device, the interest coefficient sorting module is used for sorting in sequence according to the magnitude sequence of the comprehensive interest prediction coefficients, the interface filling module is used for filling the type live video playing interface selected by the user in sequence and playing the type live video playing interface, so that the user can compare commodities recommended in each live video at the same time, a large amount of watching time of the user is saved, the interest and expectation of the user are improved, and the user experience and user viscosity of a live platform are improved conveniently.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of the present invention;
fig. 2 is a schematic view of various types of live video playing interfaces of the interface split-screen module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the big data-based multi-interface video live broadcast e-commerce platform includes an interface split screen module, an interface selection module, a user viewing record module, a commodity attribute counting module, a commodity attribute processing module, a commodity amount extraction module, a commodity amount analysis module, an analysis server, a storage database, a platform data processing center, an interest coefficient sorting module, and an interface filling module.
The analysis server is respectively connected with the user watching recording module, the commodity attribute counting module, the commodity attribute processing module, the commodity amount extraction module, the commodity amount analysis module, the storage database and the platform data processing center, the storage database is respectively connected with the interface split screen module and the commodity amount analysis module, the interface selection module is connected with the user watching recording module, the commodity attribute counting module is connected with the commodity attribute processing module, the commodity amount extraction module is connected with the commodity amount analysis module, and the interest coefficient sorting module is respectively connected with the platform data processing center and the interface filling module.
The interface split screen module is used for splitting a live broadcast video playing interface in an electronic commerce platform, and dividing the live broadcast video playing interface in the electronic commerce platform into four types of live broadcast video playing interfaces according to different split screen rule sequences, so that the live broadcast video playing interface in the electronic commerce platform has diversified functions, and the four types of live broadcast video playing interfaces are respectively a vertical live broadcast video playing interface, a horizontal live broadcast video playing interface, a surrounding live broadcast video playing interface and a grid live broadcast video playing interface, wherein the vertical live broadcast video playing interface is in a split screen rule sequence from top to bottom, and the top is a main interface; the horizontal live video playing interfaces are in a screen-splitting regular sequence from left to right, and the leftmost side is a main interface; the surrounding type live broadcast video playing interfaces are in a screen splitting regular sequence of a nine-square grid, and the middle is a main interface; the grid type live broadcast video playing interfaces are in a grid split screen rule sequence, the top of the leftmost side is a main interface, and the four types of split screen live broadcast video playing interfaces are sent to a storage database.
The interface selection module is used for selecting a live video playing interface of the electronic commerce platform, inputting account information to a login interface of the electronic commerce platform through a user for login, selecting the type of the live video playing interface of the electronic commerce platform after login is successful, and sending the type of the live video playing interface selected by the user to the user watching recording module.
The user watching recording module is used for receiving a type live video playing interface selected by the user and sent by the interface selection module, the user watches live videos in the electronic commerce platform according to personal preference and requirements, the live videos watched by the user are played on a main interface of the received type live video playing interface, meanwhile, live videos watched by the user are recorded, and the recorded live videos watched by the user are sent to the analysis server.
The analysis server is used for receiving live videos watched by the user and sent by the user watching recording module, extracting detailed information of recommended commodities in the live videos in the electronic commerce platform stored in the storage database, screening the detailed information of the recommended commodities in the live videos watched by the user, and sending the screened detailed information of the recommended commodities in the live videos watched by the user to the commodity attribute counting module and the commodity amount extraction module respectively.
The commodity attribute counting module is used for receiving detailed information of recommended commodities in the live video watched by the user and sent by the analysis server, counting each attribute in the detailed information of the recommended commodities in the live video watched by the user, and forming each attribute set R (R) in the detailed information of the recommended commodities in the live video watched by the user1,r2,r3,r4,r5)，r1Item category in detailed information representing recommended items in live video being watched by user, r2Is indicated as user positiveCommodity specification, r, in detailed information recommending commodities in viewed live video3Item model in detailed information, r, representing recommended items in live video being watched by a user4Commodity features in detailed information, r, representing recommended commodities in live video being watched by a user5The method comprises the steps that the commodity usage in the detailed information of recommended commodities in the live video watched by a user is shown, and each attribute set in the detailed information of the recommended commodities in the live video watched by the user is sent to a commodity attribute processing module;
the commodity attribute processing module is used for receiving each attribute set in the detailed information of the recommended commodities in the live video watched by the user and sent by the commodity attribute counting module, carrying out quantitative data processing on each attribute in the detailed information of the recommended commodities in the live video watched by the user, counting each attribute quantitative data in the detailed information of the recommended commodities in the live video watched by the user, providing reliable reference data for later-stage calculation of comprehensive interest prediction coefficients of the recommended commodities in the live video watched by the user, and forming each attribute quantitative data set SR (SR) in the detailed information of the recommended commodities in the live video watched by the user1,sr2,sr3,sr4,sr5)，sr1、sr2、sr3、sr4、sr5And respectively representing commodity category quantitative data, commodity specification quantitative data, commodity model quantitative data, commodity feature quantitative data and commodity usage quantitative data in the detailed information of the recommended commodities in the live video watched by the user, and sending attribute quantitative data in the detailed information of the recommended commodities in the live video watched by the user to an analysis server in a set manner.
The commodity amount extraction module is used for receiving detailed information of recommended commodities in the live video watched by the user and sent by the analysis server, extracting the commodity amount in the received detailed information of the recommended commodities in the live video watched by the user and recording the commodity amount as Y, and sending the commodity amount in the extracted detailed information of the recommended commodities in the live video watched by the user to the commodity amount analysis module;
the commodity amount analysis module is used for receiving the commodity amount in the detailed information of the recommended commodity in the live video watched by the user, which is sent by the commodity amount extraction module, extracting a standard amount interval corresponding to the valuables in the electronic commerce platform, which is stored in the storage database, comparing the commodity amount in the received detailed information of the recommended commodity in the live video watched by the user with the standard amount interval corresponding to the valuables in the electronic commerce platform, screening the commodity valuables corresponding to the commodity amount in the detailed information of the recommended commodity in the live video watched by the user, and providing reliable reference data for later-stage calculation of the comprehensive interest prediction coefficient of the user on the recommended commodity in the live video watched by the user, and sending the valuable grade corresponding to the recommended commodity in the live video watched by the user to an analysis server.
The analysis server is used for receiving each attribute quantized data set in the detailed commodity information recommended by the live video watched by the user and sent by the commodity attribute processing module, receiving the valuable grades corresponding to the recommended commodities in the live video watched by the user and sent by the commodity amount analysis module, extracting the weight proportion coefficient of each attribute quantized data of the commodities stored in the storage database and the correction influence coefficient of each commodity valuable grade, calculating the comprehensive interest prediction coefficient of the recommended commodities in the live video watched by the user, and calculating the comprehensive interest prediction coefficient of the recommended commodities in the live video watched by the user according to the formula
ξ is a comprehensive interest prediction coefficient, lambda, of the user for recommended commodities in the live video being watched1,λ2,λ3,λ4,λ5Weight scale coefficient, sr, expressed as category quantized data, specification quantized data, model quantized data, feature quantized data, and usage quantized data of the commodity1、sr2、sr3、sr4、sr5In the detailed information respectively representing recommended commodities in the live video being watched by the userCommodity category quantitative data, commodity specification quantitative data, commodity model quantitative data, commodity feature quantitative data and commodity usage quantitative data, wherein e is a natural number equal to 2.718, muYAnd the correction influence coefficient is expressed as a valuable grade corresponding to the recommended commodity in the live video watched by the user, Y is expressed as the commodity amount in the detailed information of the recommended commodity in the live video watched by the user, and the calculated comprehensive interest estimation coefficient of the user on the recommended commodity in the live video watched by the user is sent to the platform data processing center.
The storage database is used for receiving four types of live video playing interfaces sent by the interface split screen module, storing detailed information of recommended commodities in each live video in the electronic commerce platform, wherein the detailed information of the commodities comprises commodity categories, commodity specifications, commodity models, commodity characteristics, commodity purposes and commodity amounts, and storing standard amount sections corresponding to the commodity valuables in the electronic commerce platform, each commodity valuables grade comprises first-level valuable commodities, second-level valuable commodities, third-level valuable commodities, fourth-level valuable commodities and fifth-level valuable commodities, the standard amount section corresponding to the first-level valuable commodities is 0-199 yuan, the standard amount section corresponding to the second-level valuable commodities is 200-499 yuan, the standard amount section corresponding to the third-level valuable commodities is 500-999 yuan, the standard amount section corresponding to the fourth-level valuable commodities is 1000-4999 yuan, and the standard amount section corresponding to the fifth-level valuable commodities is more than 4999 yuan, and simultaneously storing weight proportion coefficients of category quantization data, specification quantization data, model quantization data, characteristic quantization data and use quantization data of the commodities, and respectively recording the weight proportion coefficients as lambda1,λ2,λ3,λ4,λ5And storing the correction influence coefficient of the value grade of each commodity.
The platform data processing center is used for receiving a comprehensive interest prediction coefficient of a user for recommending commodities in a live video which is watched and sent by the analysis server, simultaneously predicting comprehensive interest prediction coefficients of the user for recommending commodities in other live videos in the electronic commerce platform, comparing the received comprehensive interest prediction coefficient of the user for recommending commodities in the live video which is watched with the comprehensive interest prediction coefficient of recommending commodities in other live videos in the electronic commerce platform one by one, if the comprehensive interest prediction coefficient of the user for recommending commodities in other live videos in the electronic commerce platform is smaller than the comprehensive interest prediction coefficient of recommending commodities in the live video which is watched, it is shown that the live video in the electronic commerce platform does not meet the user interest, and if the comprehensive interest prediction coefficient of the user for recommending commodities in other live videos in the electronic commerce platform is larger than or equal to the comprehensive interest prediction coefficient of recommending commodities in the live video which is watched The comprehensive interest prediction coefficient of the commodities shows that the live videos in the electronic commerce platform meet the user interests, and the comprehensive interest prediction coefficient of the recommended commodities in each live video which meets the user interests in the electronic commerce platform is counted, so that the platform can accurately recommend the commodities which meet the user interests, the purchase desire and commodity purchase efficiency of the user are improved, the overall income of a merchant is increased, the development and progress of the electronic commerce platform are promoted, and the comprehensive interest prediction coefficient of the recommended commodities in each live video which meets the user interests in the electronic commerce platform is sent to the interest coefficient ordering module.
The interest coefficient ordering module is used for receiving comprehensive interest estimation coefficients of recommended commodities in live videos which meet user interests in an electronic commerce platform and are sent by a platform data processing center, ordering the comprehensive interest estimation coefficients of the recommended commodities in the live videos which meet the user interests in the electronic commerce platform, ordering the comprehensive interest estimation coefficients in sequence according to the magnitude sequence of the comprehensive interest estimation coefficients, counting the live videos which meet the user interests in the ordered electronic commerce platform, and sending the live videos which meet the user interests in the ordered electronic commerce platform to the interface filling module.
The interface filling module is used for receiving the various live videos which are sent by the interest coefficient sorting module and meet the user interest in the sorted electronic commerce platform, sequentially filling the various live videos in the sub-interface of the type live video playing interface selected by the user according to the sequence, and playing the videos, so that the user can simultaneously compare the commodities recommended in the various live videos, a large amount of watching time of the user is saved, the interest and expectation of the user are improved, and the user experience and the user viscosity of the live platform are facilitated to be improved.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (6)
1. Big data-based multi-interface video live broadcast e-commerce platform is characterized in that: the system comprises an interface split screen module, an interface selection module, a user watching recording module, a commodity attribute counting module, a commodity attribute processing module, a commodity amount extraction module, a commodity amount analysis module, an analysis server, a storage database, a platform data processing center, an interest coefficient sorting module and an interface filling module;
the analysis server is respectively connected with the user viewing record module, the commodity attribute counting module, the commodity attribute processing module, the commodity amount extraction module, the commodity amount analysis module, the storage database and the platform data processing center, the storage database is respectively connected with the interface split screen module and the commodity amount analysis module, the interface selection module is connected with the user viewing record module, the commodity attribute counting module is connected with the commodity attribute processing module, the commodity amount extraction module is connected with the commodity amount analysis module, and the interest coefficient sorting module is respectively connected with the platform data processing center and the interface filling module;
the interface split-screen module is used for splitting a live broadcast video playing interface in the electronic commerce platform, dividing the live broadcast video playing interface in the electronic commerce platform into four types of live broadcast video playing interfaces according to different split-screen rule sequences, wherein the four types of live broadcast video playing interfaces are a vertical live broadcast video playing interface, a horizontal live broadcast video playing interface, a surrounding live broadcast video playing interface and a grid type live broadcast video playing interface respectively, and sending the four types of live broadcast video playing interfaces of split screens to a storage database;
the interface selection module is used for selecting a live video playing interface of the electronic commerce platform, inputting account information into a login interface of the electronic commerce platform through a user for login, selecting the type of the live video playing interface of the electronic commerce platform after the login is successful, and sending the type of the live video playing interface selected by the user to the user watching recording module;
the user watching recording module is used for receiving a type live video playing interface selected by the user and sent by the interface selection module, the user watches live videos in the electronic commerce platform according to personal preference and requirements, the live videos watched by the user are played on a main interface of the received type live video playing interface, meanwhile, live videos watched by the user are recorded, and the recorded live videos watched by the user are sent to the analysis server;
the analysis server is used for receiving live videos watched by the user and sent by the user watching recording module, extracting detailed information of recommended commodities in the live videos in the electronic commerce platform stored in the storage database, screening the detailed information of the recommended commodities in the live videos watched by the user, and sending the screened detailed information of the recommended commodities in the live videos watched by the user to the commodity attribute counting module and the commodity amount extraction module respectively;
the commodity attribute counting module is used for receiving detailed information of recommended commodities in the live video watched by the user and sent by the analysis server, counting each attribute in the detailed information of the recommended commodities in the live video watched by the user, and forming each attribute set R (R) in the detailed information of the recommended commodities in the live video watched by the user1,r2,r3,r4,r5)，r1Item category in detailed information representing recommended items in live video being watched by user, r2Commodity specification, r, in detailed information representing recommended commodities in live video being watched by user3Item model in detailed information, r, representing recommended items in live video being watched by a user4Recommending merchandise within live video presented as a user is watchingIn the detailed information of (1), the characteristics of the article, r5The method comprises the steps that the commodity usage in the detailed information of recommended commodities in the live video watched by a user is shown, and each attribute set in the detailed information of the recommended commodities in the live video watched by the user is sent to a commodity attribute processing module;
the commodity attribute processing module is used for receiving each attribute set in the detailed information of the recommended commodities in the live video watched by the user and sent by the commodity attribute counting module, carrying out quantitative data processing on each attribute in the detailed information of the recommended commodities in the live video watched by the user, and forming each attribute quantitative data set SR (SR) in the detailed information of the recommended commodities in the live video watched by the user1,sr2,sr3,sr4,sr5)，sr1、sr2、sr3、sr4、sr5The method comprises the steps of respectively representing commodity category quantitative data, commodity specification quantitative data, commodity model quantitative data, commodity feature quantitative data and commodity usage quantitative data in detailed information of recommended commodities in a live video watched by a user, and sending attribute quantitative data in the detailed information of the recommended commodities in the live video watched by the user to an analysis server in a set manner;
the commodity amount extraction module is used for receiving detailed information of recommended commodities in the live video watched by the user and sent by the analysis server, extracting the commodity amount in the received detailed information of the recommended commodities in the live video watched by the user and recording the commodity amount as Y, and sending the commodity amount in the extracted detailed information of the recommended commodities in the live video watched by the user to the commodity amount analysis module;
the commodity amount analysis module is used for receiving the commodity amount in the detailed information of the recommended commodity in the live video watched by the user, which is sent by the commodity amount extraction module, extracting a standard amount interval corresponding to the valuables in the electronic commerce platform, which is stored in the storage database, comparing the commodity amount in the received detailed information of the recommended commodity in the live video watched by the user with the standard amount interval corresponding to the valuables in the electronic commerce platform, screening the commodity valuables grade corresponding to the commodity amount in the detailed information of the recommended commodity in the live video watched by the user, and sending the valuables grade corresponding to the recommended commodity in the live video watched by the user to the analysis server;
the analysis server is used for receiving attribute quantized data sets in commodity detailed information recommended by live video watched by a user and sent by the commodity attribute processing module, receiving valuable grades corresponding to recommended commodities in the live video watched by the user and sent by the commodity amount analysis module, extracting weight proportion coefficients of the attribute quantized data of the commodities stored in the storage database and correction influence coefficients of the valuable grades of the commodities, calculating comprehensive interest prediction coefficients of the user on the recommended commodities in the live video watched by the user, and sending the calculated comprehensive interest prediction coefficients of the user on the recommended commodities in the live video watched by the user to the platform data processing center;
the storage database is used for receiving four types of live video playing interfaces sent by the interface split screen module, storing detailed information of recommended commodities in each live video in the electronic commerce platform, storing standard amount intervals corresponding to the valuables of each commodity in the electronic commerce platform, storing weight proportion coefficients of category quantization data, specification quantization data, model quantization data, characteristic quantization data and use quantization data of the commodities, and recording the weight proportion coefficients as lambda1,λ2,λ3,λ4,λ5And storing the correction influence coefficient of the value grade of each commodity;
the platform data processing center is used for receiving a comprehensive interest prediction coefficient of a user for recommending commodities in a live video which is watched and sent by the analysis server, simultaneously predicting comprehensive interest prediction coefficients of the user for recommending commodities in other live videos in the electronic commerce platform, comparing the received comprehensive interest prediction coefficient of the user for recommending commodities in the live video which is watched with the comprehensive interest prediction coefficient of recommending commodities in other live videos in the electronic commerce platform one by one, if the comprehensive interest prediction coefficient of the user for recommending commodities in other live videos in the electronic commerce platform is smaller than the comprehensive interest prediction coefficient of recommending commodities in the live video which is watched, it is shown that the live video in the electronic commerce platform does not meet the user interest, and if the comprehensive interest prediction coefficient of the user for recommending commodities in other live videos in the electronic commerce platform is larger than or equal to the comprehensive interest prediction coefficient of recommending commodities in the live video which is watched The comprehensive interest prediction coefficients of the commodities show that the live videos in the electronic commerce platform meet the user interests, the comprehensive interest prediction coefficients of the recommended commodities in the live videos which meet the user interests in the electronic commerce platform are counted, and the comprehensive interest prediction coefficients of the recommended commodities in the live videos which meet the user interests in the electronic commerce platform are sent to an interest coefficient ordering module;
the interest coefficient ordering module is used for receiving comprehensive interest estimation coefficients of recommended commodities in live videos which meet user interests in an electronic commerce platform and are sent by a platform data processing center, ordering the comprehensive interest estimation coefficients of the recommended commodities in the live videos which meet the user interests in the electronic commerce platform, ordering the comprehensive interest estimation coefficients in sequence according to the magnitude sequence of the comprehensive interest estimation coefficients, counting the live videos which meet the user interests in the ordered electronic commerce platform, and sending the live videos which meet the user interests in the ordered electronic commerce platform to the interface filling module;
the interface filling module is used for receiving all live videos which are sent by the interest coefficient sorting module and meet the user interest in the sorted electronic commerce platform, sequentially filling the live videos in a sub-interface of a type live video playing interface selected by the user according to the sequence, and playing the live videos.
2. The big-data based multi-interface video live e-commerce platform of claim 1, wherein: the vertical live video playing interfaces are in a screen splitting regular sequence from top to bottom, and the top is a main interface; the horizontal live video playing interfaces are in a screen-splitting regular sequence from left to right, and the leftmost side is a main interface; the surrounding type live broadcast video playing interfaces are in a screen splitting regular sequence of a nine-square grid, and the middle is a main interface; the grid type live video playing interface is a grid split screen rule sequence, and the top of the leftmost side is a main interface.
3. The big-data based multi-interface video live e-commerce platform of claim 1, wherein: the detailed information of the commodity includes commodity category, commodity specification, commodity model, commodity characteristics, commodity usage and commodity amount.
4. The big-data based multi-interface video live e-commerce platform of claim 1, wherein: the commodity valuable grades comprise first-grade valuable commodities, second-grade valuable commodities, third-grade valuable commodities, fourth-grade valuable commodities and fifth-grade valuable commodities.
5. The big-data based multi-interface video live e-commerce platform of claim 4, wherein: the standard amount interval corresponding to the first-level valuable commodity is 0-199 yuan, the standard amount interval corresponding to the second-level valuable commodity is 200-499 yuan, the standard amount interval corresponding to the third-level valuable commodity is 500-999 yuan, the standard amount interval corresponding to the fourth-level valuable commodity is 1000-4999 yuan, and the standard amount interval corresponding to the fifth-level valuable commodity is more than 4999 yuan.
6. The big-data based multi-interface video live e-commerce platform of claim 4, wherein: the calculation formula of the comprehensive interest prediction coefficient of the user to the recommended commodities in the watched live video is
ξ is a comprehensive interest prediction coefficient, lambda, of the user for recommended commodities in the live video being watched1,λ2,λ3,λ4,λ5Category quantization data, specification quantization data, model quantization data, feature quantization data, and usage quantization data respectively expressed as commoditiesWeight scaling factor of data, sr1、sr2、sr3、sr4、sr5A commodity category quantization data, a commodity specification quantization data, a commodity model quantization data, a commodity characteristic quantization data and a commodity usage quantization data in the detailed information of the recommended commodity in the live video which is watched by the user are respectively expressed, e is a natural number which is equal to 2.718, muYAnd Y represents the sum of the commodities in the detailed information of the recommended commodities in the live video watched by the user.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113240488A (en) * | 2021-05-14 | 2021-08-10 | 深圳迅销科技股份有限公司 | System and method for displaying commodity information by using electronic commerce |
| CN113271488A (en) * | 2021-05-17 | 2021-08-17 | 口碑(上海)信息技术有限公司 | Play control method, play control device, electronic equipment, storage medium and program product |
| CN113327135A (en) * | 2021-06-18 | 2021-08-31 | 武汉埸葵电子商务有限公司 | Video advertisement playing analysis management method and system and advertisement analysis management cloud platform |
| CN113382309A (en) * | 2021-06-02 | 2021-09-10 | 南拳互娱(武汉)文化传媒有限公司 | Diversion algorithm and recommended purchasing platform for live broadcast of game player |
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2020
- 2020-12-01 CN CN202011383073.5A patent/CN112565805A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240488A (en) * | 2021-05-14 | 2021-08-10 | 深圳迅销科技股份有限公司 | System and method for displaying commodity information by using electronic commerce |
| CN113240488B (en) * | 2021-05-14 | 2024-04-05 | 深圳迅销科技股份有限公司 | System and method for displaying commodity information by utilizing electronic commerce |
| CN113271488A (en) * | 2021-05-17 | 2021-08-17 | 口碑(上海)信息技术有限公司 | Play control method, play control device, electronic equipment, storage medium and program product |
| CN113382309A (en) * | 2021-06-02 | 2021-09-10 | 南拳互娱(武汉)文化传媒有限公司 | Diversion algorithm and recommended purchasing platform for live broadcast of game player |
| CN113327135A (en) * | 2021-06-18 | 2021-08-31 | 武汉埸葵电子商务有限公司 | Video advertisement playing analysis management method and system and advertisement analysis management cloud platform |
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