CN114792266A - Page display response method, page display method, device, equipment and medium - Google Patents

Page display response method, page display method, device, equipment and medium Download PDF

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CN114792266A
CN114792266A CN202210450662.3A CN202210450662A CN114792266A CN 114792266 A CN114792266 A CN 114792266A CN 202210450662 A CN202210450662 A CN 202210450662A CN 114792266 A CN114792266 A CN 114792266A
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徐寅磊
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Ping An Puhui Enterprise Management Co Ltd
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Abstract

The application relates to the technical field of artificial intelligence, and discloses a page display response method, a page display device, page display equipment and a page display medium, wherein the method comprises the following steps: the page resource downloading request carries a target user identifier and a target product identifier; acquiring target product favorite data and target content element favorite data corresponding to the target user identification; acquiring a page resource identifier from a page resource and tag mapping table corresponding to a target product identifier as a hit resource identifier according to the target product favorite data and the target content element favorite data; acquiring a page resource corresponding to the hit resource identifier from a preset page resource library, and taking the page resource as a page resource to be displayed; and sending the page resource to be displayed to a target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page. According to the method and the device, personalized page display is achieved according to the product preference and the content element preference of the user, and the user experience is improved.

Description

Page display response method, page display method, device, equipment and medium
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to a page display response method, a page display method, an apparatus, a device, and a medium.
Background
In electronic commerce, in order to help users to know products more accurately, related information and pictures of the products need to be displayed on a page. At present, the product pages seen by each user are the same, and with the sharp increase of the product types, the number of shops of the same product and the number of electronic commerce platforms, the same product pages are displayed for all users, so that the users feel redundant information and even have dislike, the user experience is reduced, and the product transaction rate is reduced.
Disclosure of Invention
The main purpose of the present application is to provide a page display response method, a page display device, a page display apparatus, and a page display medium, which are intended to solve the technical problems that the product pages seen by each user are the same, so that the user feels information redundancy and even feels repugnance, thereby reducing user experience and reducing product transaction rate.
In order to achieve the above object, the present application provides a page display response method, where the method includes:
acquiring a page resource downloading request sent by a target client, wherein the page resource downloading request carries a target user identifier and a target product identifier;
acquiring target product favorite data and target content element favorite data corresponding to the target user identification;
according to the target product preference data and the target content element preference data, acquiring a page resource identifier from a page resource and label mapping table corresponding to the target product identifier as a hit resource identifier;
acquiring a page resource corresponding to the hit resource identifier from a preset page resource library as a page resource to be displayed;
and sending the page resource to be displayed to the target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page.
Further, the step of obtaining target product preference data and target content element preference data corresponding to the target user identifier includes:
searching product preference data in a preset user and product preference mapping table by using the target user identifier to form target product preference data;
and searching the target user identification in a preset user-content element preference mapping table to obtain the target content element preference data.
Further, before the step of searching product preference data in a preset mapping table between a user and a product preference for the target user identifier to form the target product preference data, the method further includes:
acquiring product purchase data corresponding to a user identifier to be predicted;
inputting the product purchase data into a preset product preference classification prediction model to perform product preference classification prediction to obtain a first prediction vector;
finding out vector elements with values larger than a preset first probability from the first prediction vector as first hit vector elements;
taking the product label corresponding to the first hit vector element as a hit product label, and taking the product type corresponding to the first hit vector element as a hit product type;
according to each hit product type and each hit product label, the product preference data corresponding to the user identification to be predicted is used;
and updating the mapping table of the user and the product preference according to the product preference data corresponding to the user identifier to be predicted.
Further, before the step of searching the target user identifier for content element preference data in a preset user-to-content element preference mapping table to form the target content element preference data, the method further includes:
acquiring page operation behavior data corresponding to a user identifier to be processed;
inputting the page operation behavior data into a preset content element preference classification prediction model to perform content element preference classification prediction to obtain a second prediction vector;
finding out vector elements with values larger than a preset second probability from the second prediction vector as second hit vector elements;
taking a content element tag corresponding to the second hit vector element as a hit content element tag, and taking a content element type corresponding to the second hit vector element as a hit content element type;
according to each hit content element type and each hit content element label, the hit content element type and each hit content element label are used as content element favorite data corresponding to the to-be-processed user identification;
and updating the mapping table of the user and the content element preference according to the content element preference data corresponding to the user identifier to be processed.
Further, the step of obtaining the page resource corresponding to the hit resource identifier from a preset page resource library as the page resource to be displayed includes:
acquiring a non-picture resource corresponding to the hit resource identifier from a non-picture resource sub-library of the page resource library as a target non-picture resource;
according to the target product favorite data and the target content element favorite data, acquiring a picture identification set from a picture and label mapping table corresponding to the hit resource identification as a hit picture identification set;
obtaining each picture corresponding to the hit picture identification set from a picture resource sub-library of the page resource library as a target picture set;
and determining the page resource to be displayed according to the target non-picture resource and the target picture set.
The application also provides a page display method, which comprises the following steps:
acquiring a product page display request, wherein the product page display request carries a target product identifier and a target user identifier;
sending a page resource downloading request to a server according to the target product identification and the target user identification;
acquiring the page resource to be displayed sent by the server according to the page resource downloading request, wherein the server comprises: acquiring the target product identification and the target user identification from the page resource downloading request, acquiring target product preference data and target content element preference data corresponding to the target user identification, acquiring a page resource identification from a page resource and tag mapping table corresponding to the target product identification as a hit resource identification according to the target product preference data and the target content element preference data, and acquiring a page resource corresponding to the hit resource identification from a preset page resource library as a page resource to be displayed;
and carrying out page loading on the page resource to be displayed to obtain a target product page.
Further, the page resource to be displayed includes: a target non-picture resource and a target picture set;
acquiring a non-picture resource corresponding to the hit resource identifier from a non-picture resource sub-library of the page resource library to form the target non-picture resource;
and according to the target product preference data and the target content element preference data, acquiring a picture identifier set from a picture and label mapping table corresponding to the hit resource identifier, taking the picture identifier set as a hit picture identifier set, and acquiring each picture corresponding to the picture identifier set from a picture resource sub-library of the page resource library to form a target picture set.
The application also provides a page display response device, which comprises:
the system comprises a request acquisition module, a request processing module and a request processing module, wherein the request acquisition module is used for acquiring a page resource downloading request sent by a target client, and the page resource downloading request carries a target user identifier and a target product identifier;
the data acquisition module is used for acquiring target product favorite data and target content element favorite data corresponding to the target user identification;
a hit resource identifier determining module, configured to obtain, according to the target product preference data and the target content element preference data, a page resource identifier from a page resource and tag mapping table corresponding to the target product identifier, where the page resource identifier is used as a hit resource identifier;
the page resource to be displayed determining module is used for acquiring the page resource corresponding to the hit resource identifier from a preset page resource library as the page resource to be displayed;
and the resource synchronization module is used for sending the page resource to be displayed to the target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page.
The present application further proposes a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any of the above methods when executing the computer program.
The present application also proposes a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any of the above-mentioned.
The page display response method comprises the steps of obtaining a page resource downloading request sent by a target client, wherein the page resource downloading request carries a target user identifier and a target product identifier; acquiring target product favorite data and target content element favorite data corresponding to the target user identification; acquiring a page resource identifier from a page resource and label mapping table corresponding to the target product identifier as a hit resource identifier according to the target product preference data and the target content element preference data; acquiring a page resource corresponding to the hit resource identifier from a preset page resource library, and using the page resource as a page resource to be displayed; and sending the page resource to be displayed to the target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page. The page resource to be displayed is determined according to the target product preference data and the target content element preference data, so that personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
Drawings
Fig. 1 is a schematic flowchart of a page display response method according to an embodiment of the present application;
FIG. 2 is a schematic flowchart of a page display method according to an embodiment of the present application;
FIG. 3 is a block diagram of a page display response apparatus according to an embodiment of the present application;
FIG. 4 is a block diagram illustrating a structure of a page displaying apparatus according to an embodiment of the present application;
fig. 5 is a block diagram illustrating a structure of a computer device according to an embodiment of the present application.
The implementation, functional features and advantages of the object of the present application will be further explained with reference to the embodiments, and with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, an embodiment of the present application provides a page display response method, where the method includes the following steps S1-S5:
s1: acquiring a page resource downloading request sent by a target client, wherein the page resource downloading request carries a target user identifier and a target product identifier;
s2: acquiring target product preference data and target content element preference data corresponding to the target user identification;
s3: acquiring a page resource identifier from a page resource and label mapping table corresponding to the target product identifier as a hit resource identifier according to the target product preference data and the target content element preference data;
s4: acquiring a page resource corresponding to the hit resource identifier from a preset page resource library as a page resource to be displayed;
s5: and sending the page resource to be displayed to the target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page.
According to the method and the device, the page resource to be displayed is determined according to the target product preference data and the target content element preference data, so that personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
For step S1, the page resource downloading request sent by the target client is obtained through a communication connection with the target client.
And the target client is a client which wants to download the page resource.
The client can be any one of a terminal of the mobile electronic device, a webpage end of the mobile electronic device, a terminal of a computer and a webpage end of the computer.
The page resource downloading request is a request for downloading page resources.
And the target user identifier is the user identifier of the user corresponding to the page resource downloading request. The user identification may be a user name, a user ID, or the like, which uniquely identifies a user.
The target product identifier is a product identifier of a product which the user wants to view and corresponds to the page resource downloading request. The product identification may be a product name, a product ID, or the like, that uniquely identifies a product. The product can be a physical product, a virtual product or a service.
Page resources are resources that are needed to load a Web (global wide area network) page. Page resources include, but are not limited to: CSS (cascading style sheet) and pictures.
For S2, the target product preference data and the target content element preference data corresponding to the target user identifier may be obtained from a database, or the target product preference data and the target content element preference data corresponding to the target user identifier may be obtained from a third-party application.
Target product preference data, that is, product preference data of a user corresponding to the target user identifier. The product preference data includes: product type and favorite product tab sets. The favorite product label set is a set of favorite product labels. The product label is a label of a product. Product labels range from, but are not limited to: shape, size, color, and price ranges.
Optionally, the product preference data further includes: product type, favorite product labelsets, and disliked product labelsets. An objectionable product label set is a collection of objectionable product labels.
Target content element preference data, i.e. content element preference data of a user corresponding to said target user identification. The content element preference data includes: content element type and preference content element tag set. The favorite content element tag set is a set of favorite content element tags. The content element type, i.e., the type to which the content element corresponds. And the content element is an element in the Web page. The content element tag is a tag of a content element. The value ranges of the content element tags include but are not limited to: content element style and content element color.
Optionally, the content element preference data further includes: a content element type, a favorite content element tag set, and an objectionable content element tag set. An objectionable content element tag set is a collection of objectionable content element tags.
For S3, the favorite data of the target product and the favorite data of the target content element are used as target associated data, the target associated data is searched for associated data in the page resource and tag mapping table corresponding to the target product identifier, and the found associated data is used as a hit resource identifier in the page resource and tag mapping table corresponding to the target product identifier.
The page resource and tag mapping table comprises: the system comprises a product identifier, associated data and a page resource identifier. The page resource identifier may be a page resource name, a page resource ID, or other data uniquely identifying a page resource of a page.
And S4, acquiring the page resource corresponding to the hit resource identifier from a preset page resource library, and taking the acquired page resource as the page resource to be displayed. Therefore, the page resource to be displayed is determined according to the hit resource identifier.
For S5, the page resource to be displayed is sent to a target client through the communication connection with the target client; and after receiving the page resource to be displayed, the target client loads a page according to the page resource to be displayed, and the loaded page is used as a target product page.
In one embodiment, the step of obtaining the target product preference data and the target content element preference data corresponding to the target user id includes the following steps S21-S22:
s21: searching product preference data in a preset user and product preference mapping table by using the target user identifier to form target product preference data;
s22: and searching the target user identification in a preset user-content element preference mapping table to obtain the target content element preference data.
The method and the device determine the preference data of the target product through the user-product preference mapping table, determine the preference data of the target content element through the user-content element preference mapping table, and provide a basis for determining the page resource to be displayed according to the preference data of the target product and the preference data of the target content element.
For S21, performing user identifier lookup on the target user identifier in a preset user-to-product preference mapping table, and looking up product preference data corresponding to the found user identifier in the user-to-product preference mapping table as the target product preference data.
The mapping table of user and product preference includes: user identification and product preference data.
For S22, performing user identifier lookup on the target user identifier in a preset user-to-content element preference mapping table, and using content element preference data corresponding to the found user identifier in the user-to-content element preference mapping table as the target content element preference data.
The user to content element preference mapping table includes: user identification and content element preference data.
In an embodiment, before the step of searching the product preference data in the preset mapping table between user and product preference for the target user identifier to form the target product preference data, the method further includes the following steps S211 to S216:
s211: acquiring product purchase data corresponding to a user identifier to be predicted;
s212: inputting the product purchase data into a preset product favor classification prediction model to perform product favor classification prediction to obtain a first prediction vector;
s213: finding out vector elements with values larger than a preset first probability from the first prediction vector as first hit vector elements;
s214: taking the product label corresponding to the first hit vector element as a hit product label, and taking the product type corresponding to the first hit vector element as a hit product type;
s215: according to the types and labels of the hit products, the types and labels of the hit products are used as product preference data corresponding to the user identification to be predicted;
s216: and updating the mapping table of the user and the product preference according to the product preference data corresponding to the user identifier to be predicted.
According to the method and the device, the product preference data are generated according to the product purchase data and the product preference classification prediction model, the user and product preference mapping table is updated according to the generated product preference data, the accuracy of the predicted product preference data is improved through the model, and a basis is provided for determining the page resources to be displayed according to the target product preference data.
For S211, product purchase data corresponding to the user identifier to be predicted input by the user may be obtained, product purchase data corresponding to the user identifier to be predicted may also be obtained from the database, and product purchase data corresponding to the user identifier to be predicted may also be obtained from the third-party application.
The user identifier to be predicted is the user identifier which needs to carry out product preference classification prediction.
The product purchase data is a record of the product purchase by the user. Product purchase data includes, but is not limited to: time of purchase, product identification, product type, unit price of product, quantity of product, and total price of product.
For step S212, the product purchase data is input into a preset product taste classification prediction model to perform product taste classification prediction, and the predicted data is used as a first prediction vector.
The product preference classification prediction model is a model obtained by training a whole connection layer based on a Bert (bidirectional Encoder reproduction from transformations) model and a softmax activation function, wherein the Bert model is used for extracting features, and the whole connection layer based on the softmax activation function is used for classifying the features extracted according to the Bert model. softmax activation function, which is a normalized exponential function.
For S213, each vector element with a value greater than a preset first probability is found from the first prediction vector, and each found vector element is taken as a first hit vector element.
For S214, the product tag corresponding to the first hit vector element is used as a hit product tag, and the product type corresponding to the first hit vector element is used as a hit product type, so as to provide a basis for generating product preference data.
For S215, taking any one of the hit product types as a target hit product type; taking each hit product label corresponding to the target hit product type as a favorite product label set corresponding to the target hit product type; and taking each product type and the favorite product label set corresponding to each product type as product favorite data corresponding to the user identification to be predicted.
For step S216, the user and product preference mapping table is updated according to the product preference data corresponding to the user identifier to be predicted, so as to provide a basis for determining page resources to be displayed according to the target product preference data.
In an embodiment, before the step of performing content element preference data lookup on the target user identifier in a preset user-to-content element preference mapping table to form the target content element preference data, the following steps S221 to S226 are further included:
s221: acquiring page operation behavior data corresponding to a user identifier to be processed;
s222: inputting the page operation behavior data into a preset content element preference classification prediction model to perform content element preference classification prediction to obtain a second prediction vector;
s223: finding out vector elements with values larger than a preset second probability from the second prediction vector as second hit vector elements;
s224: taking a content element tag corresponding to the second hit vector element as a hit content element tag, and taking a content element type corresponding to the second hit vector element as a hit content element type;
s225: according to each hit content element type and each hit content element label, the hit content element type and each hit content element label are used as content element preference data corresponding to the user identification to be processed;
s226: and updating the mapping table of the user and the content element preference according to the content element preference data corresponding to the user identifier to be processed.
According to the method and the device, the content element preference data are generated according to the page operation behavior data and the content element preference classification prediction model, the user and content element preference mapping table is updated according to the generated content element preference data, the accuracy of the predicted content element preference data is improved through the model, and a foundation is provided for determining the page resource to be displayed according to the target content element preference data.
For S221, the page operation behavior data corresponding to the to-be-processed user identifier input by the user may be obtained, the page operation behavior data corresponding to the to-be-processed user identifier may also be obtained from the database, and the page operation behavior data corresponding to the to-be-processed user identifier may also be obtained from the third-party application.
The user identifier to be processed is the user identifier which needs to be subjected to content element preference classification prediction.
The page operation behavior data is behavior data of a user operating a Web page. Page operation behavior data includes, but is not limited to: viewing time, page identification, content element operation data.
For step S222, the page operation behavior data is input into a preset content element preference classification prediction model to perform content element preference classification prediction, and the predicted data is used as a second prediction vector.
The content element preference classification prediction model is a model obtained by training based on a Bert model and a full connection layer adopting a softmax activation function, wherein the Bert model is used for extracting features, and the full connection layer adopting the softmax activation function is used for classifying according to the features extracted by the Bert model.
For S223, each vector element with a value greater than the preset second probability is found from the second prediction vector, and each found vector element is taken as a second hit vector element.
For S224, a content element tag corresponding to the second hit vector element is taken as a hit content element tag, and a content element type corresponding to the second hit vector element is taken as a hit content element type, so as to provide a basis for generating content element preference data.
For S225, any of the hit content element types is taken as a target hit content element type; taking each hit content element tag corresponding to the target hit content element type as a favorite content element tag set corresponding to the target hit content element type; and taking each content element type and the favorite content element label set corresponding to each content element type as content element favorite data corresponding to the user identification to be processed.
For S226, according to the content element preference data corresponding to the to-be-processed user identifier, updating the user-to-content element preference mapping table, so as to provide a basis for determining to-be-displayed page resources according to the target content element preference data.
In an embodiment, the step of obtaining the page resource corresponding to the hit resource identifier from the preset page resource library as the page resource to be displayed includes the following steps S51-S54:
s51: acquiring a non-picture resource corresponding to the hit resource identifier from a non-picture resource sub-library of the page resource library to serve as a target non-picture resource;
s52: according to the target product preference data and the target content element preference data, acquiring a picture identification set from a picture and label mapping table corresponding to the hit resource identification as a hit picture identification set;
s53: acquiring each picture corresponding to the hit picture identification set from a picture resource sub-library of the page resource library as a target picture set;
s54: and determining the page resource to be displayed according to the target non-picture resource and the target picture set.
According to the method and the device, firstly, the non-picture resource is determined as the target non-picture resource according to the hit resource identifier, then, the picture identifier set is determined according to the target product preference data and the target content element preference data, and finally, each picture corresponding to the picture identifier set is used as the target picture set, so that the personalized target non-picture resource and the personalized target picture set are obtained, personalized page display is achieved according to the product preference and the content element preference of the user, the user experience is improved, and the product transaction rate is improved.
And S51, acquiring the non-picture resource corresponding to the hit resource identifier from the non-picture resource sub-library of the page resource library, and taking the acquired non-picture resource as a target non-picture resource.
The non-picture resource is a page resource that does not include a picture.
The page resource library includes: a non-picture resource sub-library and a picture resource sub-library. The non-picture resource sub-library comprises: resource identification and non-picture resources. The picture resource sub-library comprises: picture identification and a picture.
For S52, the favorite data of the target product and the favorite data of the target content element are used as associated data to be queried, the associated data to be queried is searched for associated data in the mapping table of pictures and labels corresponding to the hit resource identifier, and a picture identifier set corresponding to the searched associated data in the mapping table of pictures and labels corresponding to the hit resource identifier is used as a hit picture identifier set.
The picture and label mapping table comprises: the product identification, the associated data and the picture identification set. The picture identification set comprises one or more picture identifications. The picture identifier may be a picture name, a picture ID, or other data uniquely identifying one picture.
For step S53, obtaining each picture corresponding to the hit picture identifier set from the picture resource sub-library of the page resource library, and taking each obtained picture as a target picture set.
And S54, page resource combination is carried out according to the target non-picture resource and the target picture set, and the combined page resource is used as the page resource to be displayed.
Referring to fig. 2, the present application further proposes a page display method, which includes the following steps S61-S64:
s61: acquiring a product page display request, wherein the product page display request carries a target product identifier and a target user identifier;
s62: sending a page resource downloading request to a server according to the target product identification and the target user identification;
s63: acquiring the page resource to be displayed sent by the server according to the page resource downloading request, wherein the server comprises: acquiring the target product identification and the target user identification from the page resource downloading request, acquiring target product preference data and target content element preference data corresponding to the target user identification, acquiring a page resource identification from a page resource and tag mapping table corresponding to the target product identification as a hit resource identification according to the target product preference data and the target content element preference data, and acquiring a page resource corresponding to the hit resource identification from a preset page resource library as a page resource to be displayed;
s64: and carrying out page loading on the page resource to be displayed to obtain a target product page.
According to the method and the device, the page resource to be displayed is determined according to the target product preference data and the target content element preference data, so that personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
For S61, a product page display request input by the user may be obtained, or a product page display request sent by the third-party application may also be obtained.
The product page display request is a request for displaying a product page.
For step S62, a page resource downloading request is generated according to the target product identifier and the target user identifier, that is, the target product identifier and the target user identifier are used as parameters carried by the page resource downloading request; and sending the page resource downloading request to the server.
And S63, acquiring the page resource to be displayed sent by the server according to the page resource downloading request through the communication connection with the server.
And S64, page loading is carried out according to the page resource to be displayed so as to realize page rendering, and a target product page is obtained.
In one embodiment, the page resource to be displayed includes: a target non-picture resource and a target picture set;
acquiring a non-picture resource corresponding to the hit resource identifier from a non-picture resource sub-library of the page resource library to form the target non-picture resource;
and according to the target product preference data and the target content element preference data, acquiring a picture identifier set from a picture and label mapping table corresponding to the hit resource identifier, taking the picture identifier set as a hit picture identifier set, and acquiring each picture corresponding to the picture identifier set from a picture resource sub-library of the page resource library to form a target picture set.
According to the embodiment, the non-picture resource is determined as the target non-picture resource according to the hit resource identifier, the picture identifier set is determined according to the target product preference data and the target content element preference data, and the pictures corresponding to the picture identifier set are finally used as the target picture set, so that the personalized target non-picture resource and the personalized target picture set are obtained, the personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
Referring to fig. 3, the present application further provides a page display response apparatus, including:
a request obtaining module 100, configured to obtain a page resource downloading request sent by a target client, where the page resource downloading request carries a target user identifier and a target product identifier;
a data obtaining module 200, configured to obtain target product preference data and target content element preference data corresponding to the target user identifier;
a hit resource identifier determining module 300, configured to obtain, according to the target product preference data and the target content element preference data, a page resource identifier from a page resource and tag mapping table corresponding to the target product identifier, as a hit resource identifier;
a to-be-displayed page resource determining module 400, configured to obtain, from a preset page resource library, a page resource corresponding to the hit resource identifier, as a to-be-displayed page resource;
the resource synchronization module 500 is configured to send the page resource to be displayed to the target client, where the target client is configured to perform page loading according to the page resource to be displayed, so as to obtain a target product page.
According to the method and the device, the page resource to be displayed is determined according to the target product preference data and the target content element preference data, so that personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
The page display response device is applied to a server.
With reference to fig. 4, the present application further proposes a page display apparatus, said apparatus comprising:
a product page display request obtaining module 801, configured to obtain a product page display request, where the product page display request carries a target product identifier and a target user identifier;
a page resource downloading request sending module 802, configured to send a page resource downloading request to a server according to the target product identifier and the target user identifier;
a to-be-displayed page resource obtaining module 803, configured to obtain the to-be-displayed page resource sent by the server according to the page resource downloading request, where the server includes: acquiring the target product identification and the target user identification from the page resource downloading request, acquiring target product preference data and target content element preference data corresponding to the target user identification, acquiring a page resource identification from a page resource and tag mapping table corresponding to the target product identification as a hit resource identification according to the target product preference data and the target content element preference data, and acquiring a page resource corresponding to the hit resource identification from a preset page resource library as a page resource to be displayed;
and the target product page determining module 804 is configured to perform page loading on the page resource to be displayed to obtain a target product page.
According to the method and the device, the page resource to be displayed is determined according to the target product preference data and the target content element preference data, so that personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
The page display device is applied to a client.
Referring to fig. 5, an embodiment of the present application further provides a computer device, where the computer device may be a server, and an internal structure of the computer device may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operating system and the running of computer programs in the non-volatile storage medium. The database of the computer device is used for storing data such as page display response methods and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a page show response method. The page display response method comprises the following steps: acquiring a page resource downloading request sent by a target client, wherein the page resource downloading request carries a target user identifier and a target product identifier; acquiring target product preference data and target content element preference data corresponding to the target user identification; acquiring a page resource identifier from a page resource and label mapping table corresponding to the target product identifier as a hit resource identifier according to the target product preference data and the target content element preference data; acquiring a page resource corresponding to the hit resource identifier from a preset page resource library as a page resource to be displayed; and sending the page resource to be displayed to the target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page.
According to the method and the device, the page resource to be displayed is determined according to the target product preference data and the target content element preference data, so that personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
An embodiment of the present application further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the following method steps when executing the computer program: acquiring a product page display request, wherein the product page display request carries a target product identifier and a target user identifier; sending a page resource downloading request to a server according to the target product identification and the target user identification; acquiring the page resource to be displayed sent by the server according to the page resource downloading request, wherein the server comprises: acquiring the target product identification and the target user identification from the page resource downloading request, acquiring target product preference data and target content element preference data corresponding to the target user identification, acquiring a page resource identification from a page resource and tag mapping table corresponding to the target product identification as a hit resource identification according to the target product preference data and the target content element preference data, and acquiring a page resource corresponding to the hit resource identification from a preset page resource library as a page resource to be displayed; and carrying out page loading on the page resource to be displayed to obtain a target product page.
According to the method and the device, the page resource to be displayed is determined according to the target product preference data and the target content element preference data, so that personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a page display response method, including the steps of: acquiring a page resource downloading request sent by a target client, wherein the page resource downloading request carries a target user identifier and a target product identifier; acquiring target product favorite data and target content element favorite data corresponding to the target user identification; according to the target product preference data and the target content element preference data, acquiring a page resource identifier from a page resource and label mapping table corresponding to the target product identifier as a hit resource identifier; acquiring a page resource corresponding to the hit resource identifier from a preset page resource library, and using the page resource as a page resource to be displayed; and sending the page resource to be displayed to the target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page.
According to the executed page display response method, the page resource to be displayed is determined according to the target product preference data and the target content element preference data, so that personalized page display according to the product preference and the content element preference of the user is realized, the user experience is improved, and the product transaction rate is improved.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for displaying a page is implemented, including the steps of: acquiring a product page display request, wherein the product page display request carries a target product identifier and a target user identifier; sending a page resource downloading request to a server according to the target product identification and the target user identification; acquiring the page resource to be displayed sent by the server according to the page resource downloading request, wherein the server comprises: acquiring the target product identification and the target user identification from the page resource downloading request, acquiring target product preference data and target content element preference data corresponding to the target user identification, acquiring a page resource identification from a page resource and tag mapping table corresponding to the target product identification as a hit resource identification according to the target product preference data and the target content element preference data, and acquiring a page resource corresponding to the hit resource identification from a preset page resource library as a page resource to be displayed; and carrying out page loading on the page resource to be displayed to obtain a target product page.
According to the executed page display method, whether the user is in the working state or not is determined through the wearable device, the adaptive contrast video (namely the learning video) is obtained when the user is not in the working state, and the adaptive contrast video and the real-time video are integrated to obtain the augmented reality image, so that the fragment time is recycled, the user does not need to manually select the fragment time, and the learning effect is improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, apparatus, article or method that comprises the element.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.

Claims (10)

1. A page display response method is characterized by comprising the following steps:
acquiring a page resource downloading request sent by a target client, wherein the page resource downloading request carries a target user identifier and a target product identifier;
acquiring target product preference data and target content element preference data corresponding to the target user identification;
according to the target product preference data and the target content element preference data, acquiring a page resource identifier from a page resource and label mapping table corresponding to the target product identifier as a hit resource identifier;
acquiring a page resource corresponding to the hit resource identifier from a preset page resource library, and using the page resource as a page resource to be displayed;
and sending the page resource to be displayed to the target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page.
2. The page display response method of claim 1, wherein the step of obtaining target product preference data and target content element preference data corresponding to the target user identifier comprises:
searching product preference data in a preset user and product preference mapping table by using the target user identification to form the target product preference data;
and searching the target user identification in a preset user-content element preference mapping table to obtain the target content element preference data.
3. The page display response method of claim 2, wherein before the step of performing product preference data lookup on the target user identifier in a preset user-to-product preference mapping table to form the target product preference data, the method further comprises:
acquiring product purchase data corresponding to a user identifier to be predicted;
inputting the product purchase data into a preset product preference classification prediction model to perform product preference classification prediction to obtain a first prediction vector;
finding out vector elements with values larger than a preset first probability from the first prediction vector as first hit vector elements;
taking the product label corresponding to the first hit vector element as a hit product label, and taking the product type corresponding to the first hit vector element as a hit product type;
according to each hit product type and each hit product label, the product preference data corresponding to the user identification to be predicted is used;
and updating the mapping table of the user and the product preference according to the product preference data corresponding to the user identifier to be predicted.
4. The page display response method of claim 2, wherein before the step of performing content element preference data lookup on the target user identifier in a preset user-to-content element preference mapping table to form the target content element preference data, the method further comprises:
acquiring page operation behavior data corresponding to a user identifier to be processed;
inputting the page operation behavior data into a preset content element preference classification prediction model to perform content element preference classification prediction to obtain a second prediction vector;
finding out vector elements with values larger than a preset second probability from the second prediction vector as second hit vector elements;
taking the content element tag corresponding to the second hit vector element as a hit content element tag, and taking the content element type corresponding to the second hit vector element as a hit content element type;
according to each hit content element type and each hit content element label, the hit content element type and each hit content element label are used as content element preference data corresponding to the user identification to be processed;
and updating the mapping table of the user and the content element preference according to the content element preference data corresponding to the user identifier to be processed.
5. The page display response method according to claim 1, wherein said step of obtaining the page resource corresponding to the hit resource identifier from a preset page resource library as the page resource to be displayed comprises:
acquiring a non-picture resource corresponding to the hit resource identifier from a non-picture resource sub-library of the page resource library as a target non-picture resource;
according to the target product favorite data and the target content element favorite data, acquiring a picture identification set from a picture and label mapping table corresponding to the hit resource identification as a hit picture identification set;
obtaining each picture corresponding to the hit picture identification set from a picture resource sub-library of the page resource library as a target picture set;
and determining the page resource to be displayed according to the target non-picture resource and the target picture set.
6. A page display method is characterized by comprising the following steps:
acquiring a product page display request, wherein the product page display request carries a target product identifier and a target user identifier;
sending a page resource downloading request to a server according to the target product identification and the target user identification;
acquiring the page resource to be displayed sent by the server according to the page resource downloading request, wherein the server comprises: acquiring the target product identification and the target user identification from the page resource downloading request, acquiring target product preference data and target content element preference data corresponding to the target user identification, acquiring a page resource identification from a page resource and tag mapping table corresponding to the target product identification as a hit resource identification according to the target product preference data and the target content element preference data, and acquiring a page resource corresponding to the hit resource identification from a preset page resource library as a page resource to be displayed;
and carrying out page loading on the page resource to be displayed to obtain a target product page.
7. The page display method of claim 6, wherein the page resources to be displayed comprise: a target non-picture resource and a target picture set;
acquiring a non-picture resource corresponding to the hit resource identifier from a non-picture resource sub-library of the page resource library to form the target non-picture resource;
and acquiring a picture identifier set from a picture and tag mapping table corresponding to the hit resource identifier according to the target product preference data and the target content element preference data, taking the picture identifier set as a hit picture identifier set, and acquiring each picture corresponding to the picture identifier set from a picture resource sub-library of the page resource library to form a target picture set.
8. A page show response apparatus, the apparatus comprising:
the request acquisition module is used for acquiring a page resource downloading request sent by a target client, wherein the page resource downloading request carries a target user identifier and a target product identifier;
the data acquisition module is used for acquiring target product favorite data and target content element favorite data corresponding to the target user identification;
a hit resource identifier determining module, configured to obtain, according to the target product preference data and the target content element preference data, a page resource identifier from a page resource and tag mapping table corresponding to the target product identifier, where the page resource identifier is used as a hit resource identifier;
the page resource to be displayed determining module is used for acquiring the page resource corresponding to the hit resource identifier from a preset page resource library as the page resource to be displayed;
and the resource synchronization module is used for sending the page resource to be displayed to the target client, wherein the target client is used for carrying out page loading according to the page resource to be displayed to obtain a target product page.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
CN202210450662.3A 2022-04-26 2022-04-26 Page display response method, page display method, device, equipment and medium Pending CN114792266A (en)

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