CN114595393A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN114595393A CN114595393A CN202210278725.1A CN202210278725A CN114595393A CN 114595393 A CN114595393 A CN 114595393A CN 202210278725 A CN202210278725 A CN 202210278725A CN 114595393 A CN114595393 A CN 114595393A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/0483—Interaction with page-structured environments, e.g. book metaphor
Abstract
The application discloses a data processing method, which can be applied to a server side in one example, wherein the server side is used for carrying out data processing on data analysis products. Specifically, the method comprises the following steps: the server may obtain a user characteristic of a first user, and then determine target content corresponding to the user characteristic based on the user characteristic, and further, may send the target content to a client corresponding to the first user, so that the client processes the target content, for example, stores the target content, so as to provide a service for the first user based on the target content subsequently. Since the target content is determined based on the user characteristics of the first user, the actual requirements of the first user can be met by providing the first user with a service based on the target content. Therefore, the data analysis product mentioned in the embodiment of the application can meet the actual requirement of the first user, and therefore the user satisfaction is improved.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a data processing method and apparatus.
Background
Some websites or Applications (APPs) may provide services to users. For example, for a data analysis-type website, a data analysis service may be provided for a user. The user can utilize the website for data analysis.
However, the user satisfaction of the website or APP which provides services for the user is not high at present. Therefore, a solution is needed to solve the above problems.
Disclosure of Invention
The technical problem that this application will solve is: at present, a website or APP providing services for a user has low user satisfaction, and a data processing method and device are provided.
In a first aspect, an embodiment of the present application provides a data processing method, which is applied to a server that performs data processing on a data analysis product, where the method includes:
acquiring user characteristics of a first user;
determining target content corresponding to the user characteristics based on the user characteristics;
and sending the target content to a client corresponding to the first user.
Optionally, the determining, by the user characteristic, the target content corresponding to the user characteristic based on the user characteristic indicates that the first user is a new user includes:
determining a first text conforming to a first description policy as the target content, wherein the first description policy is a description policy corresponding to a new user.
Optionally, the method further includes:
obtaining a product introduction material of the data analysis product;
and sending the product introduction materials to the client.
Optionally, the determining, by the user characteristic, the target content corresponding to the user characteristic based on the user characteristic indicates that the first user is an old user includes:
and determining a second text which conforms to a second description strategy as the target content, wherein the second description strategy is a description strategy corresponding to an old user.
Optionally, the method further includes:
acquiring recommended content related to a first page, wherein the first page is one page of the data analysis products;
and sending the recommended content related to the first page to the client.
Optionally, the recommended content includes:
an introduction of a function included in the first page; and/or the presence of a gas in the gas,
a topical question associated with the first page.
Optionally, if the user characteristic indicates that the first user stays in the first page for longer than a preset time and does not perform any operation, determining target content corresponding to the user characteristic based on the user characteristic includes:
and determining introduction of functions included in the first page as the target content, wherein the first page is one of pages of the data analysis product.
Optionally, if the user characteristic indicates that the first user does not use the target function within a preset time period, determining the target content corresponding to the user characteristic based on the user characteristic includes:
and determining a third text for recommending the target function as the target content.
Optionally, the determining, based on the user characteristic, target content corresponding to the user characteristic includes:
predicting the target behavior of the first user based on user behavior and the content included in a first page, wherein the first page is one page of the data analysis product;
determining the target content based on the target behavior.
Optionally, the method further includes:
acquiring recommended content corresponding to a first area on a first page, wherein the recommended content corresponding to the first area comprises the following steps:
an introduction of a newly added function associated with the first area, the first page being one of the pages of the data analysis type product;
and sending the recommended content corresponding to the first area to the client.
Optionally, the method further includes:
and responding to the completion of a target task executed at a server, and sending prompt information corresponding to the target task to the client.
Optionally, the target task is a computing task related to the user feature.
Optionally, the obtaining the user characteristic of the first user includes:
and responding to an operation of logging in a first page triggered by a first user, and acquiring the user characteristics of the first user, wherein the first page is one page of the data analysis product.
In a second aspect, an embodiment of the present application provides a data processing method, which is applied to a client of a first user, where the client is a client running a data analysis product, and the method includes:
receiving target content sent by a server, wherein the target content is determined based on the user characteristics of the first user;
and displaying the target content in response to the first user accessing the data analysis type product.
Optionally, the user characteristic indicates that the first user is a new user, and the target content includes:
and the first text conforms to a first description strategy, and the first description strategy is a description strategy corresponding to a new user.
Optionally, the method further includes:
responding to an operation triggered by the first user aiming at the first text displayed on a first page, and acquiring the data analysis type product introduction material sent by a server, wherein the first page is a page displayed on the first client;
and displaying the product introduction material.
Optionally, the user characteristic indicates that the first user is an old user, and the target content includes:
and the second text conforms to a second description policy, wherein the second description policy is a description policy corresponding to the old user.
Optionally, the method further includes:
responding to an operation triggered by the first user aiming at the second text displayed on a first page, and acquiring recommended content which is sent by the server and is related to the first page, wherein the first page is a page displayed on the first client;
and displaying the recommended content.
Optionally, the recommended content includes:
an introduction of a function included in the first page; and/or the presence of a gas in the gas,
a topical question associated with the first page.
Optionally, if the user characteristic indicates that the first user stays on the first page for more than a preset time and does not perform any operation, the target content includes:
the first page includes an introduction to the function.
Optionally, if the user characteristic indicates that the first user does not use the target function within a preset time period, the target content includes:
a third text for recommending the target function.
Optionally, the method further includes:
and responding to the operation triggered by the first user aiming at the third text displayed on the first page, and jumping to a page providing the target function, wherein the first page is a page displayed on the first client.
Optionally, the target content is determined based on a target behavior of a first user, and the target behavior of the first user is determined based on the user behavior of the first user and content included in a first page displayed by the client.
Optionally, the method further includes:
responding to a first area on a first page browsed by the first user, and displaying recommended content which is sent by the server and corresponds to the first area, wherein the recommended content which corresponds to the first area comprises: an introduction of a new function associated with the first area.
Optionally, the method further includes:
and responding to the completion of a target task executed at a server, and displaying prompt information which is sent by the server and aims at the target task.
Optionally, the target task is a computing task related to the user feature.
Optionally, the method further includes:
and responding to the operation triggered by the first user aiming at the prompt information displayed on the first page, and displaying a calculation report corresponding to the calculation task.
In a third aspect, an embodiment of the present application provides a data processing apparatus, which is applied to a server that performs data processing on data analysis products, and the apparatus includes:
a first obtaining unit, configured to obtain a user characteristic of a first user;
a first determination unit configured to determine target content corresponding to the user feature based on the user feature;
and the first sending unit is used for sending the target content to a client corresponding to the first user.
Optionally, the user characteristic indicates that the first user is a new user, and the first determining unit is configured to:
determining a first text conforming to a first description policy as the target content, the first description policy being a description policy corresponding to a new user.
Optionally, the apparatus further comprises:
the second acquisition unit is used for acquiring a product introduction material of the data analysis product;
and the second sending unit is used for sending the product introduction materials to the client.
Optionally, the user characteristic indicates that the first user is an old user, and the first determining unit is configured to:
and determining a second text which accords with a second description strategy as the target content, wherein the second description strategy is a description strategy corresponding to an old user.
Optionally, the apparatus further comprises:
the third acquisition unit is used for acquiring recommended content related to a first page, wherein the first page is one of pages of the data analysis products;
and the third sending unit is used for sending the recommended content related to the first page to the client.
Optionally, the recommended content includes:
an introduction of a function included in the first page; and/or the presence of a gas in the gas,
a topical question associated with the first page.
Optionally, if the user characteristic indicates that the first user stays on the first page for more than a preset time and does not perform any operation, the first determining unit is configured to:
and determining introduction of functions included in the first page as the target content, wherein the first page is one of pages of the data analysis product.
Optionally, if the user characteristic indicates that the first user does not use the target function within a preset time period, the first determining unit is configured to:
and determining a third text for recommending the target function as the target content.
Optionally, the first determining unit is configured to:
predicting the target behavior of the first user based on user behavior and the content included in a first page, wherein the first page is one page of the data analysis product;
determining the target content based on the target behavior.
Optionally, the apparatus further comprises:
a fourth acquisition unit configured to acquire recommended content corresponding to a first area on a first page, the recommended content corresponding to the first area including: an introduction of a newly added function associated with the first area, the first page being one of the pages of the data analysis type product;
and the fourth sending unit is used for sending the recommended content corresponding to the first area to the client.
Optionally, the apparatus further comprises:
and the fifth sending unit is used for responding to the completion of the target task executed at the server and sending the prompt information corresponding to the target task to the client.
Optionally, the target task is a computing task related to the user feature.
Optionally, the first obtaining unit is configured to:
and responding to an operation of logging in a first page triggered by a first user, and acquiring the user characteristics of the first user, wherein the first page is one page of the data analysis product.
In a fourth aspect, an embodiment of the present application provides a data processing apparatus, which is applied to a client of a first user, where the client is a client that runs a data analysis product, and the apparatus includes:
the receiving unit is used for receiving target content sent by a server, and the target content is determined based on the user characteristics of the first user;
and the display unit is used for responding to the first user accessing the data analysis product and displaying the target content.
Optionally, the user characteristic indicates that the first user is a new user, and the target content includes:
and the first text conforms to a first description strategy, and the first description strategy is a description strategy corresponding to a new user.
Optionally, the apparatus further comprises:
a first obtaining unit, configured to obtain the data analysis product introduction material sent by a server in response to an operation triggered by the first user with respect to the first text displayed on a first page, where the first page is a page displayed on the first client;
and the first display unit is used for displaying the product introduction material.
Optionally, the user characteristic indicates that the first user is an old user, and the target content includes:
and the second text conforms to a second description policy, wherein the second description policy is a description policy corresponding to the old user.
Optionally, the apparatus further comprises:
a second obtaining unit, configured to obtain, in response to an operation triggered by the first user with respect to the second text displayed on a first page, recommended content related to the first page sent by the server, where the first page is a page displayed on the first client;
and the second display unit is used for displaying the recommended content.
Optionally, the recommended content includes:
an introduction of a function included in the first page; and/or the presence of a gas in the atmosphere,
a topical question associated with the first page.
Optionally, if the user characteristic indicates that the first user stays on the first page for more than a preset time and does not perform any operation, the target content includes:
the first page includes an introduction to the function.
Optionally, if the user characteristic indicates that the first user does not use the target function within a preset time period, the target content includes:
a third text for recommending the target function.
Optionally, the apparatus further comprises:
and the jumping unit is used for responding to the operation triggered by the first user aiming at the third text displayed on the first page, and jumping to the page providing the target function, wherein the first page is the page displayed on the first client.
Optionally, the target content is determined based on a target behavior of a first user, and the target behavior of the first user is determined based on the user behavior of the first user and content included in a first page displayed by the client.
Optionally, the apparatus further comprises:
the third display unit is used for responding to the first area on the first page browsed by the first user and displaying the recommended content which is sent by the server and corresponds to the first area, and the recommended content which corresponds to the first area comprises the following steps: an introduction of a new function associated with the first area.
Optionally, the apparatus further comprises:
and the fourth display unit is used for responding to the completion of a target task executed at a server and displaying prompt information which is sent by the server and aims at the target task.
Optionally, the target task is a computing task related to the user feature.
Optionally, the apparatus further comprises:
and the fifth display unit is used for responding to the operation triggered by the first user aiming at the prompt information displayed on the first page and displaying the calculation report corresponding to the calculation task.
In a fifth aspect, an embodiment of the present application provides an apparatus, which includes a processor and a memory;
the processor is configured to execute instructions stored in the memory to cause the apparatus to perform the method of any of the first aspects above or to cause the apparatus to perform the method of any of the second aspects above.
In a sixth aspect, embodiments of the present application provide a computer-readable storage medium, including instructions that instruct a device to perform the method of any one of the above first aspects, or instruct a device to perform the method of any one of the above second aspects.
In a seventh aspect, the present application provides a computer program product, which when run on a computer causes the computer to execute the method of any one of the above first aspects, or causes the computer to execute the method of any one of the above second aspects.
Compared with the prior art, the embodiment of the application has the following advantages:
an embodiment of the present application provides a data processing method, and in one example, the method may be applied to a server, where the server is configured to perform data processing on a data analysis product. Specifically, the method comprises the following steps: the server may obtain a user characteristic of a first user, and then determine target content corresponding to the user characteristic based on the user characteristic, and further, may send the target content to a client corresponding to the first user, so that the client processes the target content, for example, stores the target content, so as to provide a service for the first user based on the target content subsequently. Since the target content is determined based on the user characteristics of the first user, the actual requirements of the first user can be met by providing the first user with a service based on the target content. Therefore, the data analysis product mentioned in the embodiment of the application can meet the actual requirement of the first user, and therefore the user satisfaction is improved.
The embodiment of the application provides a data processing method, and in one example, the method can be applied to a client, wherein the client is a client running a data analysis product. Specifically, the method comprises the following steps: the client can receive the target content sent by the server and provide service for the first user based on the target content. Wherein the target content is determined based on a user characteristic of the first user. Specifically, the client may present the target content in response to the first user accessing the data analysis type product. Since the target content is determined based on the user characteristics of the first user, the first user can be served based on the target content, and the actual needs of the first user can be met. Therefore, the data analysis product mentioned in the embodiment of the application can meet the actual requirement of the first user, and therefore the user satisfaction is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a signaling interaction diagram of a data processing method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application。
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Through research, the inventor of the application finds that the user satisfaction of the website which provides service for the user is not high. This is because the website for providing services for users provides general services, which cannot meet the personalized requirements of users.
In order to solve the above problem, embodiments of the present application provide a data processing method and apparatus.
Various non-limiting embodiments of the present application are described in detail below with reference to the accompanying drawings.
Exemplary method
Referring to fig. 1, this figure is a signaling interaction diagram of a data processing method according to an embodiment of the present application.
With respect to the client and the server shown in fig. 1, it should be noted that the client and the server both correspond to a data analysis product (e.g., a cloud) applied to a web page. The server side carries out data processing on the data analysis products, and the client side runs the data analysis products. The data analysis product can correspond to a webpage, namely: the user can obtain the service provided by the data analysis product through the corresponding webpage. The data analysis product can correspond to APP, namely: the user can obtain the service provided by the data analysis product through the corresponding APP. The client is a client corresponding to a first user, and the first user is any user using the data analysis product.
In this embodiment, the method may include, for example, the steps of: S101-S104.
S101: the server side obtains the user characteristics of the first user.
User characteristics of the first user describing user characteristics of the first user.
In one example, the user characteristics of the first user may include user attributes of the first user, wherein the user attributes may include new users or old users. The new user refers to a user who uses the data analysis product for the first time; by old user is meant a user who does not use the data analysis class product for the first time.
In yet another example, the user characteristics of the first user may include user behavior of the first user, the user behavior referring to behavior of the first user when using the data analysis class product. The user behavior may include a current behavior and a historical behavior, and the embodiment of the present application is not particularly limited.
In the embodiment of the application, the user characteristics of the first user do not relate to the sensitive information of the first user, and the user characteristics of the first user are acquired and used after being authorized by the first user. In one example, prior to obtaining the user characteristics of the first user, the respective interface displays a prompt regarding authorization to use the obtained data, and the first user determines whether to approve the authorization.
In one example, the server may execute S101 after the first user triggers an operation of logging in to the first page. The first page is one of the pages of the data analysis product. For example, the first page is a home page of the data analysis product; for another example, when the first user is an old user, the first page is a page that is browsed last time the first user uses the data analysis product; and so on, which are not described one by one here.
S102: the server determines target content corresponding to the user characteristics based on the user characteristics.
S103: and the server side sends the target content to a client side corresponding to the first user.
S104: and the client side responds to the first user accessing the data analysis product and displays the target content.
After the server side obtains the user characteristics, the target content meeting the requirements of the first user can be determined based on the user characteristics, and the target content is sent to the client side of the first user. After the target content is received by the client of the first user, in one example, the target content may be stored for subsequent serving of the first user based on the target content. Specifically, the client may provide a service for the first user based on the target content when the first user accesses the data analysis product. Specifically, when the first user accesses the data analysis product, the client may display the target content in response to the first user accessing the data analysis product. The first user accessing the data analysis product may be the first user opening a webpage of the data analysis product, or the first user opening an APP corresponding to the data analysis product.
Since the target content is determined based on the user characteristics of the first user, the first user can be served based on the target content, and the actual needs of the first user can be met. Therefore, the data analysis products mentioned in the embodiment of the application can meet the actual requirements of the first user, and therefore the user satisfaction is improved.
In one example, if the user characteristic indicates that the first user is a new user, S102 may determine, as the target content, a first text that conforms to a first description policy, where the first description policy is a description policy corresponding to the new user. The first description policy is not specifically limited in the embodiment of the present application, and the first description policy may be, for example, a description policy with a strong affinity, so as to pull in a distance from a first user as a new user, and bring a trust feeling to the first user. The embodiment of the present application is not particularly limited to the first text, and the first text may be, for example: "welcome to use, i am your intelligent assistant, and have any questions to find me".
After the client receives the first text, the client may store the first text. In one example, the client may display the first text on a first page while the first page is displayed. In one example, an icon corresponding to the smart assistant may be further displayed on the first page, and the first text is displayed near an area where the icon corresponding to the smart assistant is located.
In one example, considering that a new user may not be familiar with the data analysis product, in order to assist the new user to know the data analysis product, the server may further obtain product introduction materials of the data analysis product, and then send the product introduction materials to the client. The product introduction material includes but is not limited to video, text description documents, pictures and the like.
After receiving the product introduction material, the client may store the product introduction material.
In one example, if the first user triggered an operation with respect to the first text (e.g., clicked on the area where the first text is located), it is indicated that the first user wishes to use a smart assistant. In this case, for the first user as a new user, the most basic requirement is to quickly know the data analysis product, so that after the first user triggers an operation on the first text displayed in the first page, the client may obtain the product introduction material stored in advance and display the product introduction material in response to the operation triggered by the first user on the second text.
In one example, if the user characteristic indicates that the first user is an old user, S102 may determine, in concrete implementation, a second text that conforms to a second description policy as the target content, where the second description policy is a description policy corresponding to the old user. The second description policy is not specifically limited in the embodiments of the present application, and the second description policy may be, for example, an in-person concise description policy. The second text is not specifically limited in the embodiment of the present application, and the second text may be, for example: "the smart assistant serves you".
After the client receives the second text, the second text may be stored. In one example, the client may display the second text on a first page while the first page is displayed. In an example, an icon corresponding to the smart assistant may be further displayed on the first page, and the second text is displayed near an area where the icon corresponding to the smart assistant is located.
In one example, in order to provide a service meeting the requirements of the old user, the server may further obtain recommended content related to the first page and send the recommended content related to the first page to the client. And sending the recommended content related to the first page to a client, wherein the recommended content related to the first page can be recommended to the user when the client of the first user displays the first page.
The recommended content related to the first page is not specifically limited in the embodiments of the present application. In one example, the first page related recommended content includes an introduction to a function included in the first page. In yet another example, the first page-related recommended content includes the first page-related popular questions and answers.
After receiving the recommended content related to the first page, the client may store the recommended content related to the first page.
In one example, if the first user triggered an operation with respect to the second text (e.g., clicked on the area where the second text is located), it is indicated that the first user wishes to use a smart assistant. For this case, for the first user, who is an old user, the most fundamental need is to quickly resolve the question that may exist in the first page. Therefore, after the first user triggers an operation on the second text displayed in the first page, the client may obtain the pre-stored recommended content related to the first page and display the recommended content related to the first page in response to the operation triggered by the first user on the second text, so as to resolve a possible question about the first page for the first user.
In one example, if the user characteristic indicates that the first user stays on the first page for more than a preset time and does not perform any operation, it indicates that the first user may not know the function of the first page so that the first user does not know what operation should be performed. For this case, S102 may determine, as the target content, an introduction of a function included in the first page in a specific implementation. In this way, the client may also display the target content after receiving the target content. After the first user views the target content, the function of the first page can be known, and therefore corresponding operation is executed. The preset time is not particularly limited in the embodiments of the present application, and the preset time may be, for example, 1 minute.
In one example, if the user characteristic indicates that the first user has not used the target function for a preset time period (e.g., one week), for this case, in order to recommend the user to use the target function, S102 may determine, in a specific implementation, a third text for recommending the target function as the target content.
The third text is not specifically limited in the embodiment of the present application, and the third text may be a text capable of embodying the target functional value, for example. For example, the third text is: "of the users using the function (target function), 90% of the users' performance was improved and you also come to the trial bar".
After sending the third text to the client, the client may also display the third text. In one example, the client may display the third text on a first page while the first page is displayed. In one example, an icon corresponding to the smart assistant may be further displayed on the first page, and the third text is displayed near an area where the icon corresponding to the smart assistant is located.
In one example, if the first user triggers an operation (e.g., clicks on the third text) for the third text on the first page, it is indicated that the first user wishes to use the target function. For this case, the client may jump to a web page providing the target function in response to an operation triggered by the first user for the third text, so that the user can use the target function.
In one example, in order to provide better service for a user, S102 may predict, in a specific implementation, a target behavior of a first user based on a user behavior and content included in a page (e.g., a first page) currently displayed by the client; the target content is then determined based on the target behavior. Wherein:
the user behavior may be a behavior of the first user in a recent period of time (for example, a time from a starting time of using the data analysis product to a current time this time), or may be a historical behavior of the first user in a longer period of time (for example, a behavior of using the data analysis product by the first user multiple times), which is not specifically limited in the embodiment of the present application.
When the target behavior of the first user is predicted to be implemented specifically, for example, behaviors of a plurality of users using the data analysis product may be collected in advance, a model for predicting the user behavior is trained based on the behaviors of the plurality of users using the data analysis product, and then the user behavior of the first user and content included in a page (for example, a first page) currently displayed by the client are input into the model, so that the target behavior is obtained.
After determining the target behavior, content related to the target behavior may be determined as the target content. For example, if the target behavior is to use a function, the target content may be an introduction of the function, or jump to an entry of a web page corresponding to the function.
For this case, when the client displays the target content in a specific implementation, the target content may be displayed on the first page, so that the first user can read the target content and further perform a target action.
In one example, it is considered that for the data analysis type product, some functions are updated after the data analysis type product is on-line. And the function is placed in a certain area of a certain page. For example, in a first region of a first page. Thus, in one example, to provide a better user experience, in one example, a user may be introduced with an introduction of new functionality related to a region as the user navigates to the region. For this case, in a specific implementation, S102 may acquire recommended content corresponding to a first region on the first page, where the recommended content corresponding to the first region includes: an introduction of a new function associated with the first area.
For this situation, after the server sends the recommended content corresponding to the first area to the client, the client may store the recommended content corresponding to the first area. And when the first user browses the first area on the first page, displaying the recommended content corresponding to the first area so that the first user can know the newly added function corresponding to the first area.
In one example, it is contemplated that some tasks may be performed on the server side (i.e., the background) for the data analysis class product. For this situation, the server may also monitor the execution progress of the task, and once a certain task, for example, a target task, is completed, the server may send, to the client, prompt information corresponding to the target task in response to completion of the target task executed at the server.
The task executed at the server is not specifically limited, and the task executed at the server may be a task related to the data analysis product (for example, monitoring a validity period of a certain function module), may also be a task related to the first user (for example, verifying a task created by the first user, and for example, a computing task related to a user characteristic of the first user), and the like, and is not limited herein.
It will be appreciated that for a computing task, the computing reports obtained are different even if different users trigger the computing task corresponding to the same class (e.g., computing crowd values). This is because the computing task is also associated with the user characteristics of the user that triggered the computing task, thereby enabling a user-personalized customization service.
In one example, the prompt message may be a notification message for prompting that the target task is successfully executed. For example, the prompt message may be a notification message that prompts successful completion of the aforementioned computing task. In yet another example, the prompt message may also be an early warning message or an error message. The embodiments of the present application are not particularly limited.
In one example, after the server sends the prompt message to the client, the client may display the prompt message on a first page currently displayed by the client. When the prompt information is used to indicate that the foregoing calculation task is completed successfully, if the first user wishes to view the calculation report corresponding to the calculation task, the first user may trigger an operation (e.g., click the prompt information) with respect to the prompt information. In this way, the client may display the calculation report corresponding to the calculation task in response to an operation triggered by the first user with respect to the prompt information displayed on the first page, so that the first user may quickly view the calculation report, and user experience is improved.
Exemplary device
Based on the method provided by the above embodiment, the embodiment of the present application further provides an apparatus, which is described below with reference to the accompanying drawings.
Referring to fig. 2, the figure is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. The apparatus 200 shown in fig. 2 is applied to a server for performing data processing on a data analysis product, and the apparatus includes: a first acquisition unit 201, a first determination unit 202 and a first transmission unit 203.
A first obtaining unit 201, configured to obtain a user characteristic of a first user;
a first determining unit 202, configured to determine, based on the user characteristic, target content corresponding to the user characteristic;
a first sending unit 203, configured to send the target content to a client corresponding to the first user.
Optionally, the user characteristic indicates that the first user is a new user, and the first determining unit is configured to:
determining a first text conforming to a first description policy as the target content, wherein the first description policy is a description policy corresponding to a new user.
Optionally, the apparatus further comprises:
the second acquisition unit is used for acquiring a product introduction material of the data analysis product;
and the second sending unit is used for sending the product introduction materials to the client.
Optionally, the user characteristic indicates that the first user is an old user, and the first determining unit is configured to:
and determining a second text which conforms to a second description strategy as the target content, wherein the second description strategy is a description strategy corresponding to an old user.
Optionally, the apparatus further comprises:
a third obtaining unit, configured to obtain recommended content related to a first page, where the first page is one of pages of the data analysis product;
and the third sending unit is used for sending the recommended content related to the first page to the client.
Optionally, the recommended content includes:
an introduction of a function included in the first page; and/or the presence of a gas in the gas,
a topical question associated with the first page.
Optionally, if the user characteristic indicates that the first user stays on the first page for more than a preset time and does not perform any operation, the first determining unit is configured to:
and determining introduction of functions included in the first page as the target content, wherein the first page is one of pages of the data analysis product.
Optionally, if the user characteristic indicates that the first user does not use the target function within a preset time period, the first determining unit is configured to:
and determining a third text for recommending the target function as the target content.
Optionally, the first determining unit is configured to:
predicting the target behavior of the first user based on user behavior and the content included in a first page, wherein the first page is one page of the data analysis product;
determining the target content based on the target behavior.
Optionally, the apparatus further comprises:
a fourth acquisition unit configured to acquire recommended content corresponding to a first area on a first page, the recommended content corresponding to the first area including: an introduction of a newly added function associated with the first area, the first page being one of the pages of the data analysis type product;
and the fourth sending unit is used for sending the recommended content corresponding to the first area to the client.
Optionally, the apparatus further comprises:
and the fifth sending unit is used for responding to the completion of the target task executed at the server and sending the prompt information corresponding to the target task to the client.
Optionally, the target task is a computing task related to the user feature.
Optionally, the first obtaining unit is configured to:
and responding to an operation of logging in a first page triggered by a first user, and acquiring the user characteristics of the first user, wherein the first page is one page of the data analysis product.
Since the apparatus 200 is an apparatus corresponding to the method provided in the foregoing method embodiment, and the specific implementation of each unit of the apparatus 200 is the same as that of the foregoing method embodiment, for the specific implementation of each unit of the apparatus 200, reference may be made to the description part of the step executed by the server in the foregoing method embodiment, and details are not repeated here.
Referring to fig. 3, this figure is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application.
The apparatus 300 shown in fig. 3 is applied to a client of a first user, where the client is a client running a data analysis product, and the apparatus 300 includes: a receiving unit 301 and a presentation unit 302.
A receiving unit 301, configured to receive target content sent by a server, where the target content is determined based on a user characteristic of the first user;
a presentation unit 302, configured to present the target content in response to the first user accessing the data analysis product.
Optionally, the user characteristic indicates that the first user is a new user, and the target content includes:
and the first text conforms to a first description strategy, and the first description strategy is a description strategy corresponding to a new user.
Optionally, the apparatus further comprises:
a first obtaining unit, configured to obtain the data analysis product introduction material sent by a server in response to an operation triggered by the first user with respect to the first text displayed on a first page, where the first page is a page displayed on the first client;
and the first display unit is used for displaying the product introduction material.
Optionally, the user characteristic indicates that the first user is an old user, and the target content includes:
and the second text conforms to a second description policy, wherein the second description policy is a description policy corresponding to the old user.
Optionally, the apparatus further comprises:
a second obtaining unit, configured to obtain, in response to an operation triggered by the first user with respect to the second text displayed on a first page, recommended content related to the first page sent by the server, where the first page is a page displayed on the first client;
and the second display unit is used for displaying the recommended content.
Optionally, the recommended content includes:
an introduction of a function included in the first page; and/or the presence of a gas in the gas,
a hit question associated with the first page.
Optionally, if the user characteristic indicates that the first user stays on the first page for more than a preset time and does not perform any operation, the target content includes:
the first page includes an introduction to the function.
Optionally, if the user characteristic indicates that the first user does not use the target function within a preset time period, the target content includes:
a third text for recommending the target function.
Optionally, the apparatus further comprises:
and the jumping unit is used for responding to the operation triggered by the first user aiming at the third text displayed on the first page, and jumping to the page providing the target function, wherein the first page is the page displayed on the first client.
Optionally, the target content is determined based on a target behavior of a first user, and the target behavior of the first user is determined based on the user behavior of the first user and content included in a first page displayed by the client.
Optionally, the apparatus further comprises:
the third display unit is used for responding to the first area on the first page browsed by the first user and displaying the recommended content which is sent by the server and corresponds to the first area, and the recommended content which corresponds to the first area comprises the following steps: an introduction of a new function associated with the first area.
Optionally, the apparatus further comprises:
and the fourth display unit is used for responding to the completion of a target task executed at a server and displaying prompt information which is sent by the server and aims at the target task.
Optionally, the target task is a computing task related to the user feature.
Optionally, the apparatus further comprises:
and the fifth display unit is used for responding to the operation triggered by the first user aiming at the prompt information displayed on the first page and displaying the calculation report corresponding to the calculation task.
Since the apparatus 300 is an apparatus corresponding to the method provided in the above method embodiment, and the specific implementation of each unit of the apparatus 300 is the same as that of the above method embodiment, for the specific implementation of each unit of the apparatus 300, reference may be made to the description part of the above method embodiment for the step executed by the client, and details are not described here.
An embodiment of the present application further provides an apparatus, which includes a processor and a memory;
the processor is configured to execute the instructions stored in the memory to cause the apparatus to perform the method performed by the server as described in any of the above method embodiments.
An embodiment of the present application further provides an apparatus, which includes a processor and a memory;
the processor is configured to execute instructions stored in the memory to cause the apparatus to perform a method performed by a client as described in any of the above method embodiments.
Referring now to FIG. 4, shown is a schematic diagram of an electronic device 400 suitable for use in implementing embodiments of the present application. The electronic device in the embodiment of the present application may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a Digital broadcast receiver, a PDA (Personal Digital Assistant), a PAD (Portable android device), a PMP (Portable multimedia Player), a car terminal (e.g., car navigation terminal), and the like, and a fixed terminal such as a Digital TV (television), a desktop computer, and the like. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing device 401, performs the above-described functions defined in the methods of the embodiments of the present application.
The electronic device provided by the embodiment of the present application and the method provided by the embodiment of the present application belong to the same inventive concept, and technical details that are not described in detail in the embodiment can be referred to the embodiment of the present application, and the embodiment of the present application have the same beneficial effects.
The present application provides a computer readable medium, on which a computer program is stored, wherein the program is executed by a processor to implement the method according to any of the above embodiments. For example, a method performed by a server, as well as a method performed by a client, is performed.
It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the method.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. Where the name of a unit/module does not in some cases constitute a limitation on the unit itself, for example, a voice data collection module may also be described as a "data collection module".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice in the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the attached claims
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (31)
1. A data processing method is applied to a server side for processing data of data analysis products, and comprises the following steps:
acquiring user characteristics of a first user;
determining target content corresponding to the user characteristics based on the user characteristics;
and sending the target content to a client corresponding to the first user.
2. The method of claim 1, wherein the user characteristic indicates that the first user is a new user, and wherein the determining the target content corresponding to the user characteristic based on the user characteristic comprises:
determining a first text conforming to a first description policy as the target content, wherein the first description policy is a description policy corresponding to a new user.
3. The method of claim 2, further comprising:
obtaining a product introduction material of the data analysis product;
and sending the product introduction materials to the client.
4. The method of claim 1, wherein the user characteristic indicates that the first user is an old user, and wherein the determining the target content corresponding to the user characteristic based on the user characteristic comprises:
and determining a second text which conforms to a second description strategy as the target content, wherein the second description strategy is a description strategy corresponding to an old user.
5. The method of claim 4, further comprising:
acquiring recommended content related to a first page, wherein the first page is one page of the data analysis products;
and sending the recommended content related to the first page to the client.
6. The method of claim 5, wherein the recommending content comprises:
an introduction of a function included in the first page; and/or the presence of a gas in the gas,
a topical question associated with the first page.
7. The method according to claim 1, wherein if the user characteristic indicates that the first user stays in the first page for more than a preset time and does not perform any operation, determining the target content corresponding to the user characteristic based on the user characteristic comprises:
and determining introduction of functions included in the first page as the target content, wherein the first page is one of pages of the data analysis product.
8. The method of claim 1, wherein determining the target content corresponding to the user characteristic based on the user characteristic if the user characteristic indicates that the first user has not used the target function within a preset time period comprises:
and determining a third text for recommending the target function as the target content.
9. The method of claim 1, wherein the determining target content corresponding to the user characteristic based on the user characteristic comprises:
predicting the target behavior of the first user based on user behavior and the content included in a first page, wherein the first page is one page of the data analysis product;
determining the target content based on the target behavior.
10. The method of claim 1, further comprising:
acquiring recommended content corresponding to a first area on a first page, wherein the recommended content corresponding to the first area comprises the following steps:
an introduction of a newly added function associated with the first area, the first page being one of the pages of the data analysis type product;
and sending the recommended content corresponding to the first area to the client.
11. The method of claim 1, further comprising:
and responding to the completion of a target task executed at a server, and sending prompt information corresponding to the target task to the client.
12. The method of claim 11, wherein the target task is a computing task related to the user feature.
13. The method according to any one of claims 1-12, wherein the obtaining the user characteristic of the first user comprises:
and responding to an operation of logging in a first page triggered by a first user, and acquiring the user characteristics of the first user, wherein the first page is one page of the data analysis product.
14. A data processing method is applied to a client of a first user, wherein the client is a client for running a data analysis product, and the method comprises the following steps:
receiving target content sent by a server, wherein the target content is determined based on the user characteristics of the first user;
and displaying the target content in response to the first user accessing the data analysis type product.
15. The method of claim 14, wherein the user characteristic indicates that the first user is a new user, and wherein the targeted content comprises:
and the first text conforms to a first description strategy, and the first description strategy is a description strategy corresponding to a new user.
16. The method of claim 15, further comprising:
responding to an operation triggered by the first user aiming at the first text displayed on a first page, and acquiring the data analysis type product introduction material sent by a server, wherein the first page is a page displayed on the first client;
and displaying the product introduction material.
17. The method of claim 14, wherein the user characteristics indicate that the first user is an old user, and wherein the targeted content comprises:
and the second text conforms to a second description policy, wherein the second description policy is a description policy corresponding to the old user.
18. The method of claim 17, further comprising:
responding to an operation triggered by the first user aiming at the second text displayed on a first page, and acquiring recommended content which is sent by the server and is related to the first page, wherein the first page is a page displayed on the first client;
and displaying the recommended content.
19. The method of claim 18, wherein the recommending content comprises:
an introduction of a function included in the first page; and/or the presence of a gas in the gas,
a topical question associated with the first page.
20. The method according to claim 14, wherein if the user characteristic indicates that the first user stays on the first page for more than a preset time and does not perform any operation, the target content comprises:
the first page includes an introduction to the function.
21. The method of claim 14, wherein if the user characteristic indicates that the first user has not used the target function for a predetermined period of time, the target content comprises:
a third text for recommending the target function.
22. The method of claim 21, further comprising:
and responding to the operation triggered by the first user aiming at the third text displayed on the first page, and jumping to a page providing the target function, wherein the first page is a page displayed on the first client.
23. The method of claim 14, wherein the target content is determined based on a target behavior of a first user, the target behavior of the first user being determined based on user behavior of the first user and content included in a first page displayed by the client.
24. The method of claim 14, further comprising:
responding to a first area on a first page browsed by the first user, and displaying recommended content which is sent by the server and corresponds to the first area, wherein the recommended content which corresponds to the first area comprises: an introduction of a new function associated with the first area.
25. The method of claim 14, further comprising:
and responding to the completion of a target task executed at a server, and displaying prompt information which is sent by the server and aims at the target task.
26. The method of claim 25, wherein the target task is a computing task related to the user feature.
27. The method of claim 26, further comprising:
and responding to the operation triggered by the first user aiming at the prompt information displayed on the first page, and displaying a calculation report corresponding to the calculation task.
28. A data processing apparatus, applied to a server for processing data for a data analysis product, the apparatus comprising:
a first obtaining unit, configured to obtain a user characteristic of a first user;
a first determination unit configured to determine target content corresponding to the user feature based on the user feature;
and the first sending unit is used for sending the target content to a client corresponding to the first user.
29. A data processing apparatus, applied to a client of a first user, the client being a client running a data analysis product, the apparatus comprising:
a receiving unit, configured to receive target content sent by a server, where the target content is determined based on a user characteristic of the first user;
and the display unit is used for responding to the first user accessing the data analysis product and displaying the target content.
30. An apparatus, comprising a processor and a memory;
the processor is to execute instructions stored in the memory to cause the device to perform the method of any of claims 1 to 27.
31. A computer-readable storage medium comprising instructions that direct a device to perform the method of any of claims 1-27.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107943825A (en) * | 2017-10-19 | 2018-04-20 | 阿里巴巴集团控股有限公司 | Data processing method, device and the electronic equipment of page access |
| CN109522062A (en) * | 2018-11-16 | 2019-03-26 | 北京微播视界科技有限公司 | Display data determines method, applications client and electronic equipment |
| CN110619101A (en) * | 2018-12-29 | 2019-12-27 | 北京时光荏苒科技有限公司 | Method and apparatus for processing information |
| CN112732376A (en) * | 2019-10-28 | 2021-04-30 | 阿里巴巴集团控股有限公司 | Information interaction method and device based on page |
| CN113190322A (en) * | 2021-05-25 | 2021-07-30 | 腾讯云计算（北京）有限责任公司 | Page acquisition method, related equipment and medium |
| CN113590252A (en) * | 2021-08-09 | 2021-11-02 | 北京达佳互联信息技术有限公司 | Information pushing method and device, electronic equipment and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10846361B2 (en) * | 2010-12-14 | 2020-11-24 | Red Hat Israel, Ltd. | User-specific customization of web pages |
| CN114595393A (en) * | 2022-03-21 | 2022-06-07 | 北京有竹居网络技术有限公司 | Data processing method and device |
-
2022
- 2022-03-21 CN CN202210278725.1A patent/CN114595393A/en active Pending
-
2023
- 2023-03-21 WO PCT/CN2023/082637 patent/WO2023179575A1/en unknown
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107943825A (en) * | 2017-10-19 | 2018-04-20 | 阿里巴巴集团控股有限公司 | Data processing method, device and the electronic equipment of page access |
| CN109522062A (en) * | 2018-11-16 | 2019-03-26 | 北京微播视界科技有限公司 | Display data determines method, applications client and electronic equipment |
| CN110619101A (en) * | 2018-12-29 | 2019-12-27 | 北京时光荏苒科技有限公司 | Method and apparatus for processing information |
| CN112732376A (en) * | 2019-10-28 | 2021-04-30 | 阿里巴巴集团控股有限公司 | Information interaction method and device based on page |
| CN113190322A (en) * | 2021-05-25 | 2021-07-30 | 腾讯云计算（北京）有限责任公司 | Page acquisition method, related equipment and medium |
| CN113590252A (en) * | 2021-08-09 | 2021-11-02 | 北京达佳互联信息技术有限公司 | Information pushing method and device, electronic equipment and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023179575A1 (en) * | 2022-03-21 | 2023-09-28 | 北京有竹居网络技术有限公司 | Data processing method and apparatus |
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