CN112650909A - Product display method and device, electronic equipment and storage medium - Google Patents

Abstract

The invention relates to the field of big data, and discloses a product display method. data set, construct the user portrait of the user; calculate the degree of association between the product to be displayed and the user portrait, and select the product to be displayed whose degree of association is greater than the preset threshold as the product displayed on the page; use the preset loading program to The page display product is pushed to the product display platform page. The invention also provides a product display device, an electronic device and a storage medium. In addition, the present invention also relates to blockchain technology, and the feature data set can be stored in the blockchain. The present invention can realize the individualization of product display and improve the flexibility of product display.

Description

Product display method, device, electronic device and storage medium

technical field

The present invention relates to the field of big data, and in particular, to a product display method, device, electronic device and computer-readable storage medium.

Background technique

Product display refers to a process of displaying a product on the system interface. By displaying the product, the brand promotion of the product can be improved. At present, for the launch and display of products on the target platform interface, traditional operation methods are used to abstract all customers into a whole for operation, which cannot achieve personalized product push, which will affect the flexibility of product display. The customer-related data after the product is displayed on the target platform page leads to a single product page, which also affects the flexibility of product display.

SUMMARY OF THE INVENTION

The present invention provides a product display method, device, electronic device and computer-readable storage medium, the main purpose of which is to realize the individualization of product display and improve the flexibility of product display.

To achieve the above purpose, a product display method provided by the present invention includes:

Crawl the user's browsing data set on the page of the product display platform, and perform feature extraction on the browsing data set to obtain a feature data set;

constructing a user portrait of the user according to the feature data set;

Calculate the degree of association between the product to be displayed and the user portrait, and select the product to be displayed whose degree of association is greater than a preset threshold as the product to be displayed on the page;

The page display product is pushed to the product display platform page by using a preset loading program.

Optionally, the crawling of the user's browsing data set on the product display platform page includes:

Obtaining the uniform resource locator address of the product display platform page, and loading the system interface corresponding to the product display platform page according to the uniform resource locator address;

The browsing records of the user are inquired, and corresponding browsing data is collected from the system interface according to the browsing records to obtain a browsing data set.

Optionally, performing feature extraction on the browsing data set to obtain a feature data set, including:

The information weight value of each browsing data in the browsing data set is calculated, and browsing data whose information weight value is greater than a preset weight value is filtered out from the browsing data set to obtain a feature data set.

Optionally, the calculating the information weight value of each browsing data in the browsing data set includes:

Use the following method to calculate the information weight value of each browsing data in the browsing data set:

表示浏览数据集中第i个浏览数据的特征向量协方差，trace()表示空间滤波函数。Among them, C _i represents the information weight value of the browsing data, E _i represents the i-th browsing data in the browsing data set,

represents the feature vector covariance of the ith browsing data in the browsing dataset, and trace() represents the spatial filter function.

Optionally, the constructing the user portrait of the user according to the feature data set includes:

constructing a decision tree of the feature dataset, and calculating the negative gradient of the feature dataset in the decision tree;

According to the negative gradient, the decision tree is updated until the decision tree becomes stable, and a user portrait is obtained.

Optionally, the calculating the degree of association between the product to be displayed and the user portrait includes:

Use the following method to calculate the degree of association between the product to be displayed and the user portrait:

Wherein, the R represents the degree of relevance, A _i represents the ith product in the products to be displayed, and B _i represents the ith user portrait.

Optionally, using a preset loading program to push the page display product to the product display platform page includes:

Create an object receiving script in the loader, and use the object receiving script to receive the page display product;

Configure the product transmission channel between the loader and the page display platform page;

According to the product transmission channel, the page display product in the loading program is transmitted to the product page display platform.

In order to solve the above problems, the present invention also provides a product display device, the device includes:

The extraction module is used to crawl the browsing data set of the user on the product display platform page, and perform feature extraction on the browsing data set to obtain the feature data set;

a building module for building a user portrait of the user according to the feature data set;

A selection module, configured to calculate the degree of association between the product to be displayed and the user portrait, and select the product to be displayed whose degree of association is greater than a preset threshold as the product to be displayed on the page;

A push module is used to push the page display product to the product display platform page by using a preset loading program.

In order to solve the above problems, the present invention also provides an electronic device, the electronic device includes:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to implement the product display method described above.

In order to solve the above problems, the present invention also provides a computer-readable storage medium, where at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is executed by a processor in an electronic device to realize the above-mentioned product presentation method.

The embodiment of the present invention first crawls the user's browsing data set on the product display platform page, performs feature extraction on the browsing data set to obtain a feature data set, and constructs a user portrait of the user according to the feature data set, Users' browsing records can be collected in real time, displaying diversified product pages for users, and improving the user's experience; secondly, the embodiment of the present invention calculates the degree of association between the product to be displayed and the user portrait, and selects that the degree of association is greater than the predetermined degree. The products to be displayed with a threshold are set as page display products, so as to display the corresponding products according to user needs, realize the personalized display of the products, and improve the user's experience; further, the embodiment of the present invention uses a preset loading program to The product displayed on the page is pushed to the page of the product display platform. Therefore, the product display method, device, electronic device and storage medium proposed by the present invention can realize the personalization of product display and improve the flexibility of product display.

Description of drawings

1 is a schematic flowchart of a product display method provided by an embodiment of the present invention;

FIG. 2 is a detailed flowchart of one step of the product display method provided in FIG. 1 in the first embodiment of the present invention;

3 is a schematic diagram of a module of a product display device provided by an embodiment of the present invention;

4 is a schematic diagram of an internal structure of an electronic device for implementing a product display method provided by an embodiment of the present invention;

The realization, functional characteristics and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Detailed ways

It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

The embodiment of the present application provides a product display method. The execution body of the product display method includes, but is not limited to, at least one of electronic devices that can be configured to execute the method provided by the embodiments of the present application, such as a server, a terminal, and the like. In other words, the product display method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

Referring to FIG. 1 , it is a schematic flowchart of a product display method provided by an embodiment of the present invention. In an embodiment of the present invention, the product display method includes:

S1. Crawl a user's browsing data set on the product display platform page, and perform feature extraction on the browsing data set to obtain a feature data set.

In the embodiment of the present invention, the product display platform page includes a shopping mall order page, which is used to display different products on the webpage, which is compiled and generated by a developer. The browsing data set refers to the user's behavior information and basic information on the product display platform page. For example, the behavior information includes: product browsing records, product inquiry records, and product payment records, etc. The behavior information includes: Name, age and address, etc.

Further, in the embodiment of the present invention, a crawler tool is used to crawl a user's browsing data set on the product display platform page, so as to obtain the user data of the product display platform page in real time. Optionally, the crawler tool is constructed based on node.js technology.

In detail, using a crawler tool to crawl the user's browsing data set on the product display platform page includes: using node.js to obtain the Uniform Resource Locator (URL) address of the product display platform page, according to The URL address is used to load the system interface corresponding to the product display platform page; the user's browsing records are inquired, and corresponding browsing data is collected from the system interface according to the browsing records to obtain a browsing data set.

In an optional embodiment, the browsing record is queried through a select statement, and the browsing data is collected through a JavaScript script.

Further, it should be understood that there will be many duplicate or useless data in the crawled browsing data set. In order to improve the processing speed of user data, the embodiment of the present invention performs feature extraction on the browsing data set to obtain a feature data set. .

Specifically, performing feature extraction on the browsing data set to obtain a feature data set includes: calculating an information weight value of each browsing data in the browsing data set, and filtering out the information weight value from the browsing data set Browsing data larger than the preset weight value, get the feature data set. Optionally, the preset weight value is 0.88.

In an optional embodiment, the following method is used to calculate the information weight value of each browsing data in the browsing data set:

表示浏览数据集中第i个浏览数据的特征向量协方差，trace()表示空间滤波函数。Among them, C _i represents the information weight value of the browsing data, E _i represents the i-th browsing data in the browsing data set,

represents the feature vector covariance of the ith browsing data in the browsing dataset, and trace() represents the spatial filter function.

Further, in order to ensure the privacy and security of the feature dataset, the feature dataset can also be stored in a blockchain node.

S2. Construct a user portrait of the user according to the feature data set.

In the embodiment of the present invention, a user portrait of the user is constructed according to the feature data set to display user information more intuitively, wherein the user portrait includes basic user information and user behavior information.

In detail, constructing the user portrait of the user according to the feature data set includes: using a decision tree algorithm to construct a decision tree of the feature data set; calculating the negative gradient of the feature data set in the decision tree; For the negative gradient, the decision tree is updated until the decision tree becomes stable, and a user portrait is obtained.

In an optional embodiment of the present invention, the construction principle of using the decision tree algorithm to construct the decision tree of the feature data set is: based on the input space where the feature data set is located, recursively convert the input space into the input space. Each area is divided into two sub-areas and an output value on each sub-area is determined, and a decision tree of the feature data set is constructed according to the output value. Wherein, the decision tree algorithm includes the XGBoost algorithm.

Further, the negative gradient refers to the residual of the feature data set, and by fitting the residual of the feature data set, the robustness and reliability of the entire decision tree can be enhanced.

In a preferred embodiment, the following method is used to calculate the negative gradient of the feature dataset in the decision tree:

表示学习率，L(y_i,f(x_i)表示损失函数，y_i表示特征数据集第i个特征数据的样本数据预测值，f(x_i)表示特征数据集第i个特征数据的样本数据的真实值，f(x)表示决策树中的区域函数，f_m-1(x)表示决策树中的区域拟合函数。where _rim represents the negative gradient,

represents the learning rate, L(y _i , f(x _i ) represents the loss function, y _i represents the predicted value of the sample data of the i-th feature data of the feature dataset, and f(x _i ) represents the i-th feature data of the feature dataset. The true value of the sample data, f(x) represents the regional function in the decision tree, and f _m-1(x) represents the regional fitting function in the decision tree.

S3. Calculate the degree of association between the product to be displayed and the user portrait, and select the product to be displayed whose degree of association is greater than a preset threshold as the product to be displayed on the page.

It should be understood that the product to be displayed includes many product types. If the product is displayed directly to the user, it is easy to display some products that the user is not interested in or disgusted by the user, thereby reducing the accuracy of the product display. Therefore, the embodiment of the present invention calculates The degree of association between the product to be displayed and the user portrait, and select the product to be displayed with the degree of association greater than the preset threshold as the product to be displayed on the page. According to user needs, the corresponding product can be displayed, and the personalized display of the product can be realized and improved. user experience. Wherein, the product to be displayed is obtained based on a user's requirement, for example, the user's requirement is to display an electronic product.

In an optional embodiment of the present invention, the following method is used to calculate the degree of association between the product to be displayed and the user portrait:

Wherein, the R represents the degree of relevance, A _i represents the ith product in the products to be displayed, and B _i represents the ith user portrait.

Further, in the embodiment of the present invention, the products to be displayed whose correlation degree is greater than the preset threshold are selected as the products to be displayed on the page. Optionally, the preset threshold is 0.8.

S4, using a preset loading program to push the page display product to the product display platform page.

In the embodiment of the present invention, a preset loading program is used to push the page display product to the product display platform page, so as to implement the recommendation of the page display product and improve the user experience. Wherein, the preset loading program is compiled by Java language, and is used to execute the loading of the product on the product display platform page

In detail, referring to FIG. 2 , the use of a preset loading program to push the page display product to the product display platform page includes:

S20, creating an object receiving script in the loader, and using the object receiving script to receive the page display product;

S21, configuring the product transmission channel between the loading program and the page display platform page;

S22. According to the product transmission channel, transmit the page display product in the loading program to the product page display platform.

In an optional embodiment, the object receiving script is compiled through Shell language.

In an optional embodiment, configuring the product transmission channel between the loader and the page display platform page includes: acquiring a first interface address of the loader and a second interface address of the page display platform page. , construct a configuration file for the first interface address and the second interface address, obtain a first configuration file and a second configuration file, define the same identification bit in the first configuration file and the second configuration file, and in the An interface parameter is added to the identification bit, and according to the interface parameter, a connection between the first interface address and the second interface address is established by using a preset link instruction to obtain the product transmission channel.

In an optional embodiment, the definition of the identification bit may be defined by an SQL statement, and the interface parameters are wide: an interface id, a port number, and an IP address.

Further, after using a preset loading program to push the page display products to the product display platform page, the embodiment of the present invention further includes: using a preset method to identify whether all the page display products are loaded, If the page display products are not all loaded, continue to push the page display products, and if the page display products are all loaded, the page display products are launched on the product display platform page. Wherein, the preset method includes: load loading method.

The embodiment of the present invention first crawls the user's browsing data set on the product display platform page, performs feature extraction on the browsing data set to obtain a feature data set, and constructs a user portrait of the user according to the feature data set, Users' browsing records can be collected in real time, displaying diversified product pages for users, and improving the user's experience; secondly, the embodiment of the present invention calculates the degree of association between the product to be displayed and the user portrait, and selects that the degree of association is greater than the predetermined degree. The products to be displayed with a threshold are set as page display products, so as to display the corresponding products according to user needs, realize the personalized display of the products, and improve the user's experience; further, the embodiment of the present invention uses a preset loading program to The product displayed on the page is pushed to the page of the product display platform. Therefore, the present invention can realize the individualization of product display and improve the flexibility of product display.

As shown in FIG. 3 , it is a functional block diagram of the product display device of the present invention.

The product display device 100 of the present invention can be installed in an electronic device. According to the realized functions, the product display device may include an extraction module 101 , a construction module 102 , a selection module 103 and a push module 104 . The modules described in the present invention can also be called units, which refer to a series of computer program segments that can be executed by the electronic device processor and can perform fixed functions, and are stored in the memory of the electronic device.

In this embodiment, the functions of each module/unit are as follows:

The extraction module 101 is configured to crawl the user's browsing data set on the page of the product display platform, and perform feature extraction on the browsing data set to obtain the feature data set.

In the embodiment of the present invention, the product display platform page includes a shopping mall order page, which is used to display different products on the webpage, which is compiled and generated by a developer. The browsing data set refers to the user's behavior information and basic information on the product display platform page. For example, the behavior information includes: product browsing records, product inquiry records, and product payment records, etc. The behavior information includes: Name, age and address, etc.

Further, in the embodiment of the present invention, a crawler tool is used to crawl a user's browsing data set on the product display platform page, so as to obtain the user data of the product display platform page in real time. Optionally, the crawler tool is constructed based on node.js technology.

In detail, when using a crawler tool to crawl the user's browsing data set on the product display platform page, the extraction module 101 performs the following operations: using node.js to obtain the Uniform Resource Locator (Uniform Resource Locator) of the product display platform page Resource Locator, URL) address, according to the URL address, load the system interface corresponding to the product display platform page; query the user's browsing records, collect corresponding browsing data from the system interface according to the browsing records, and obtain Browse the dataset.

In an optional embodiment, the browsing record is queried through a select statement, and the browsing data is collected through a JavaScript script.

Further, it should be understood that there will be many duplicate or useless data in the crawled browsing data set. In order to improve the processing speed of user data, the embodiment of the present invention performs feature extraction on the browsing data set to obtain a feature data set. .

In detail, the feature extraction is performed on the browsing data set to obtain a feature data set, and the extraction module 101 is performed in the following manner: calculating the information weight value of each browsing data in the browsing data set, and obtaining a feature data set from the browsing data set. The browsing data whose information weight value is greater than the preset weight value is filtered out from the data set to obtain a feature data set. Optionally, the preset weight value is 0.88.

In an optional embodiment, the extraction module 101 uses the following method to calculate the information weight value of each browsing data in the browsing data set:

表示浏览数据集中第i个浏览数据的特征向量协方差，trace()表示空间滤波函数。Among them, C _i represents the information weight value of the browsing data, E _i represents the i-th browsing data in the browsing data set,

represents the feature vector covariance of the ith browsing data in the browsing dataset, and trace() represents the spatial filter function.

Further, in order to ensure the privacy and security of the feature dataset, the feature dataset can also be stored in a blockchain node.

The construction module 102 is configured to construct a user portrait of the user according to the feature data set.

In the embodiment of the present invention, a user portrait of the user is constructed according to the feature data set to display user information more intuitively, wherein the user portrait includes basic user information and user behavior information.

In detail, the construction module 102 constructs the user portrait of the user in the following manner: constructing a decision tree of the feature dataset by using a decision tree algorithm; calculating the negative gradient of the feature dataset in the decision tree; If the gradient is negative, the decision tree is updated until the decision tree becomes stable, and the user portrait is obtained.

In an optional embodiment of the present invention, the construction principle of using the decision tree algorithm to construct the decision tree of the feature data set is: based on the input space where the feature data set is located, recursively convert the input space into the input space. Each area is divided into two sub-areas and an output value on each sub-area is determined, and a decision tree of the feature data set is constructed according to the output value. Wherein, the decision tree algorithm includes the XGBoost algorithm.

Further, the negative gradient refers to the residual of the feature data set, and by fitting the residual of the feature data set, the robustness and reliability of the entire decision tree can be enhanced.

In a preferred embodiment, the building module 102 uses the following method to calculate the negative gradient of the feature dataset in the decision tree:

表示学习率，L(y_i,f(x_i)表示损失函数，y_i表示特征数据集第i个特征数据的样本数据预测值，f(x_i)表示特征数据集第i个特征数据的样本数据的真实值，f(x)表示决策树中的区域函数，f_m-1(x)表示决策树中的区域拟合函数。where _rim represents the negative gradient,

represents the learning rate, L(y _i , f(x _i ) represents the loss function, y _i represents the predicted value of the sample data of the i-th feature data of the feature dataset, and f(x _i ) represents the i-th feature data of the feature dataset. The true value of the sample data, f(x) represents the regional function in the decision tree, and f _m-1(x) represents the regional fitting function in the decision tree.

The selection module 103 is configured to calculate the degree of correlation between the product to be displayed and the user portrait, and select the product to be displayed whose degree of correlation is greater than a preset threshold as the product to be displayed on the page.

It should be understood that the product to be displayed includes many product types. If the product is displayed directly to the user, it is easy to display some products that the user is not interested in or disgusted by the user, thereby reducing the accuracy of the product display. Therefore, the embodiment of the present invention calculates The degree of association between the product to be displayed and the user portrait, and select the product to be displayed with the degree of association greater than the preset threshold as the product to be displayed on the page. According to user needs, the corresponding product can be displayed, and the personalized display of the product can be realized and improved. user experience. Wherein, the product to be displayed is obtained based on a user's requirement, for example, the user's requirement is to display an electronic product.

In an optional embodiment of the present invention, the selection module 103 uses the following method to calculate the degree of association between the product to be displayed and the user portrait:

Wherein, the R represents the degree of relevance, A _i represents the ith product in the products to be displayed, and B _i represents the ith user portrait.

Further, in the embodiment of the present invention, the products to be displayed whose correlation degree is greater than the preset threshold are selected as the products to be displayed on the page. Optionally, the preset threshold is 0.8.

The pushing module 104 is configured to use a preset loading program to push the page display product to the product display platform page.

In the embodiment of the present invention, a preset loading program is used to push the page display product to the product display platform page, so as to implement the recommendation of the page display product and improve the user experience. Wherein, the preset loading program is compiled by Java language, and is used to execute the loading of the product on the product display platform page

Specifically, the push module 104 pushes the page display product to the product display platform page by using the following operations: creating an object receiving script in the loader, and using the object receiving script to receive the page display product ; configure the product transmission channel between the loading program and the page display platform page; according to the product transmission channel, transmit the page display product in the loading program to the product page display platform.

In an optional embodiment, the object receiving script is compiled through Shell language.

In an optional embodiment, the push module 104 performs the following operations to configure the product transmission channel between the loader and the page display platform page: obtaining the first interface address of the loader and the page display platform page. the second interface address, construct a configuration file for the first interface address and the second interface address to obtain a first configuration file and a second configuration file, and define the same in the first configuration file and the second configuration file. An identification bit is added, and an interface parameter is added to the identification bit. According to the interface parameter, a preset link command is used to establish a connection between the first interface address and the second interface address to obtain the product transmission channel.

In an optional embodiment, the definition of the identification bit may be defined by an SQL statement, and the interface parameters are wide: an interface id, a port number, and an IP address.

Further, in this embodiment of the present invention, after the page display product is pushed to the product display platform page by using a preset loading program, the pushing module 104 is further configured to: identify the page by using a preset method Whether the display products are all loaded, if the page display products are not all loaded, continue to push the page display products, if the page display products are all loaded, the page display products will be online on the product display platform page . Wherein, the preset method includes: load loading method.

The embodiment of the present invention first crawls the user's browsing data set on the product display platform page, performs feature extraction on the browsing data set to obtain a feature data set, and constructs a user portrait of the user according to the feature data set, Users' browsing records can be collected in real time, displaying diversified product pages for users, and improving the user's experience; secondly, the embodiment of the present invention calculates the degree of association between the product to be displayed and the user portrait, and selects that the degree of association is greater than the predetermined degree. The products to be displayed with a threshold are set as page display products, so as to display the corresponding products according to user needs, realize the personalized display of the products, and improve the user's experience; further, the embodiment of the present invention uses a preset loading program to The product displayed on the page is pushed to the page of the product display platform. Therefore, the present invention can realize the individualization of product display and improve the flexibility of product display.

As shown in FIG. 4 , it is a schematic structural diagram of an electronic device implementing the product display method of the present invention.

The electronic device 1 may include a processor 10, a memory 11 and a bus, and may also include a computer program, such as a product demonstration program 12, stored in the memory 11 and executable on the processor 10.

Wherein, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, magnetic disk, CD etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1 . In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a pluggable mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), etc. Further, the memory 11 may also include both an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software installed in the electronic device 1 and various types of data, such as product display codes, etc., but also can be used to temporarily store data that has been output or will be output.

In some embodiments, the processor 10 may be composed of integrated circuits, for example, may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits packaged with the same function or different functions, including one or more integrated circuits. Central processing unit (Central Processing Unit, CPU), microprocessor, digital processing chip, graphics processor and combination of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and by running or executing the program or module (for example, executing the program) stored in the memory 11. product display, etc.), and call the data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

The bus may be a peripheral component interconnect (PCI for short) bus or an extended industry standard architecture (extended industry standard architecture, EISA for short) bus or the like. The bus can be divided into address bus, data bus, control bus and so on. The bus is configured to implement connection communication between the memory 11 and at least one processor 10 and the like.

FIG. 4 only shows an electronic device with components. Those skilled in the art can understand that the structure shown in FIG. 4 does not constitute a limitation on the electronic device 1, and may include fewer or more components than those shown in the drawings. components, or a combination of certain components, or a different arrangement of components.

For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) for powering the various components, preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that the power management The device implements functions such as charge management, discharge management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device 1 may further include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

Further, the electronic device 1 may also include a network interface, optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is usually used in the electronic device 1 Establish a communication connection with other electronic devices.

Optionally, the electronic device 1 may further include a user interface, and the user interface may be a display (Display), an input unit (eg, a keyboard (Keyboard)), optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, and the like. The display may also be appropriately called a display screen or a display unit, which is used for displaying information processed in the electronic device 1 and for displaying a visualized user interface.

It should be understood that the embodiments are only used for illustration, and are not limited by this structure in the scope of the patent application.

The product display 12 stored in the memory 11 in the electronic device 1 is a combination of multiple computer programs, and when running in the processor 10, can realize:

Crawl the user's browsing data set on the page of the product display platform, and perform feature extraction on the browsing data set to obtain a feature data set;

constructing a user portrait of the user according to the feature data set;

Calculate the degree of association between the product to be displayed and the user portrait, and select the product to be displayed whose degree of association is greater than a preset threshold as the product to be displayed on the page;

The page display product is pushed to the product display platform page by using a preset loading program.

Specifically, for the specific implementation method of the above-mentioned computer program by the processor 10, reference may be made to the description of the relevant steps in the corresponding embodiment of FIG. 1, and details are not described herein.

Further, if the modules/units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they may be stored in a non-volatile computer-readable storage medium. The computer-readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only). Memory).

The present invention also provides a computer-readable storage medium, where the readable storage medium stores a computer program, and when executed by a processor of an electronic device, the computer program can realize:

Crawl the user's browsing data set on the page of the product display platform, and perform feature extraction on the browsing data set to obtain a feature data set;

constructing a user portrait of the user according to the feature data set;

Calculate the degree of association between the product to be displayed and the user portrait, and select the product to be displayed whose degree of association is greater than a preset threshold as the product to be displayed on the page;

The page display product is pushed to the product display platform page by using a preset loading program.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division manners in actual implementation.

The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or can be implemented in the form of hardware plus software function modules.

It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics of the invention.

Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the invention is to be defined by the appended claims rather than the foregoing description, which are therefore intended to fall within the scope of the claims. All changes within the meaning and range of the equivalents of , are included in the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim.

The blockchain referred to in the present invention is a new application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain, essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information to verify its Validity of information (anti-counterfeiting) and generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

Furthermore, it is clear that the word "comprising" does not exclude other units or steps and the singular does not exclude the plural. Several units or means recited in the system claims can also be realized by one unit or means by means of software or hardware. Second-class terms are used to denote names and do not denote any particular order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent substitutions can be made without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A method of product display, the method comprising:

crawling a browsing data set of a user in a product display platform page, and performing feature extraction on the browsing data set to obtain a feature data set;

constructing a user representation of the user from the feature data set;

calculating the association degree of the product to be displayed and the user image, and selecting the product to be displayed with the association degree larger than a preset threshold value as a page display product;

and pushing the page display product to the product display platform page by using a preset loading program.

2. The product presentation method of claim 1, wherein said crawling the user's browsing data sets in a product presentation platform page comprises:

acquiring a uniform resource locator address of the product display platform page, and loading a system interface corresponding to the product display platform page according to the uniform resource locator address;

and inquiring browsing records of a user, and acquiring corresponding browsing data from the system interface according to the browsing records to obtain a browsing data set.

3. The product presentation method of claim 1, wherein said performing feature extraction on said browsing dataset to obtain a feature dataset comprises:

and calculating an information weight value of each browsing data in the browsing data set, and screening the browsing data with the information weight value larger than a preset weight value from the browsing data set to obtain a feature data set.

4. The product display method of claim 3, wherein the calculating an information weight value for each browsing data in the browsing data set comprises:

calculating an information weight value of each browsing data in the browsing data set by using the following method:

wherein, C_iInformation weight value representing browsing data, E_iRepresenting the ith browsing data in the browsing data set,

represents the eigenvector covariance of the ith browsing data in the browsing dataset, and trace () represents the spatial filter function.

5. The product display method as claimed in claim 1, wherein said constructing a user representation of said user from said feature data set comprises:

constructing a decision tree of the feature data set, and calculating the negative gradient of the feature data set in the decision tree;

and updating the decision tree according to the negative gradient until the decision tree tends to be stable, so as to obtain the user portrait.

6. The product display method as claimed in claim 1, wherein said calculating the degree of association of the product to be displayed with the user image comprises:

calculating the association degree of the product to be displayed and the user image by using the following method:

wherein R represents a degree of association, A_iIndicating the ith product among the products to be displayed, B_iRepresenting the ith user representation.

7. The product display method according to any one of claims 1 to 6, wherein the pushing the page display product to the product display platform page by using a preset loader comprises:

creating an object receiving script in the loading program, and receiving the page display product by using the object receiving script;

configuring a product transmission channel between the loading program and the page of the page display platform;

and transmitting the page display product in the loading program to the product page display platform according to the product transmission channel.

8. A product display device, the device comprising:

the system comprises an extraction module, a feature extraction module and a feature extraction module, wherein the extraction module is used for crawling a browsing data set of a user in a product display platform page and extracting features of the browsing data set to obtain a feature data set;

a construction module for constructing a user representation of the user from the feature data set;

the selection module is used for calculating the association degree of the product to be displayed and the user image and selecting the product to be displayed with the association degree larger than a preset threshold value as a page display product;

and the pushing module is used for pushing the page display product to the product display platform page by using a preset loading program.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the product presentation method as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out a method for product presentation according to any one of claims 1 to 7.

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