WO2023179575A1 - Procédé et appareil de traitement de données - Google Patents

Procédé et appareil de traitement de données Download PDF

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Publication number
WO2023179575A1
WO2023179575A1 PCT/CN2023/082637 CN2023082637W WO2023179575A1 WO 2023179575 A1 WO2023179575 A1 WO 2023179575A1 CN 2023082637 W CN2023082637 W CN 2023082637W WO 2023179575 A1 WO2023179575 A1 WO 2023179575A1
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WO
WIPO (PCT)
Prior art keywords
user
page
target
client
target content
Prior art date
Application number
PCT/CN2023/082637
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English (en)
Chinese (zh)
Inventor
李波
吴和周
周雨潇
赵士祥
Original Assignee
北京有竹居网络技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 北京有竹居网络技术有限公司 filed Critical 北京有竹居网络技术有限公司
Publication of WO2023179575A1 publication Critical patent/WO2023179575A1/fr

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Classifications

    • 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
    • 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
    • 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

Definitions

  • the present application relates to the field of data processing, and in particular, to a data processing method and device.
  • Some websites or applications can provide services to users.
  • data analysis services can be provided to users. Users can use this website to conduct data analysis.
  • the technical problem to be solved by this application is: the user satisfaction of the website or APP currently providing services to users is not high, and a data processing method and device are provided.
  • embodiments of the present application provide a data processing method, which is applied to a server that performs data processing for data analysis products.
  • the method includes:
  • the user characteristics indicate that the first user is a new user
  • determining the target content corresponding to the user characteristics based on the user characteristics includes: determining the first text that conforms to the first description policy as The target content and the first description strategy are description strategies corresponding to new users.
  • the method further includes: obtaining product introduction materials of the data analysis product; and sending the product introduction materials to the client.
  • the user characteristics indicate that the first user is an old user
  • determining the target content corresponding to the user characteristics based on the user characteristics includes: determining the second text that conforms to the second description policy as The target content and the second description strategy are description strategies corresponding to old users.
  • the method further includes: obtaining recommended content related to the first page, which is one of the pages of the data analysis product; and converting the recommended content related to the first page sent to the client.
  • the recommended content includes: an introduction to functions included in the first page; and/or popular questions and answers related to the first page.
  • determining the target content corresponding to the user characteristics based on the user characteristics includes: An introduction to functions included in the first page is determined as the target content, and the first page is one of the pages of the data analysis product.
  • determining the target content corresponding to the user characteristics based on the user characteristics includes: The third text describing the target function is determined as the target content.
  • determining the target content corresponding to the user characteristics based on the user characteristics includes: predicting the target behavior of the first user based on the user behavior and the content included on the first page. It is one of the pages of the data analysis product; the target content is determined based on the target behavior.
  • the method further includes: obtaining recommended content corresponding to the first area on the first page.
  • the recommended content corresponding to the first area includes: an introduction to new functions related to the first area.
  • the first page is one of the pages of the data analysis product; and the recommended content corresponding to the first area is sent to the client.
  • the method further includes: in response to completion of the target task executed on the server, sending prompt information corresponding to the target task to the client.
  • the target task is a computing task related to the user characteristics.
  • obtaining the user characteristics of the first user includes: obtaining the user characteristics of the first user in response to an operation of logging in to a first page triggered by the first user, and the first page is the data analysis page.
  • One of the product pages is: obtaining the user characteristics of the first user in response to an operation of logging in to a first page triggered by the first user, and the first page is the data analysis page.
  • embodiments of the present application provide a data processing method, applied to a client of the first user, where the client is a client running a data analysis product.
  • the method includes:
  • the target content is displayed.
  • the user characteristics indicate that the first user is a new user
  • the target content includes:
  • the first text conforms to the first description policy, and the first description policy is a description policy corresponding to the new user.
  • the method further includes: in response to an operation triggered by the first user for the first text displayed on the first page, obtaining the data analysis product introduction material sent by the server, and the third One page is a page displayed on the first client; the product introduction material is displayed.
  • the user characteristics indicate that the first user is an old user
  • the target content includes: second text that conforms to a second description strategy, and the second description strategy is a description strategy corresponding to an old user.
  • the method further includes: in response to an operation triggered by the first user for the second text displayed on the first page, obtaining recommended content related to the first page sent by the server.
  • the first page is a page displayed on the first client; the recommended content is displayed.
  • the recommended content includes: an introduction to functions included in the first page; and/or popular questions and answers related to the first page.
  • the target content includes: an introduction to functions included in the first page.
  • the target content includes: a third text for recommending the target function.
  • the method further includes: in response to an operation triggered by the first user for the third text displayed on the first page, jumping to a page that provides the target function, and the first page is The page displayed on the first client.
  • the target content is determined based on the target behavior of the first user, and the target behavior of the first user is based on the user behavior of the first user and the content included in the first page displayed by the client.
  • the content is determined.
  • the method further includes: in response to the first user browsing the first area on the first page, displaying the recommended content corresponding to the first area sent by the server, the first area
  • the corresponding recommended content includes: an introduction to new functions related to the first area.
  • the method further includes: in response to completion of the target task executed on the server, displaying prompt information for the target task sent by the server.
  • the target task is a computing task related to the user characteristics.
  • the method further includes: in response to the first user's request for display on the first page The operation triggered by the prompt information displays the calculation report corresponding to the calculation task.
  • embodiments of the present application provide a data processing device, which is applied to a server that performs data processing for data analysis products.
  • the device includes:
  • the first acquisition unit is used to acquire the user characteristics of the first user
  • a first determining unit configured to determine target content corresponding to the user characteristics based on the user characteristics
  • the first sending unit is used to send the target content to the client corresponding to the first user.
  • the user characteristics indicate that the first user is a new user
  • the first determining unit is used to:
  • the first text that conforms to a first description policy is determined as the target content, and the first description policy is a description policy corresponding to the new user.
  • the device also includes:
  • the second acquisition unit is used to acquire product introduction materials for the data analysis products
  • the second sending unit is used to send the product introduction material to the client.
  • the user characteristics indicate that the first user is an old user
  • the first determining unit is used to:
  • the second text that conforms to the second description strategy is determined as the target content, and the second description strategy is the description strategy corresponding to the old user.
  • the device also includes:
  • the third acquisition unit is used to acquire recommended content related to the first page, which is one of the pages of the data analysis product;
  • a third sending unit is configured to send recommended content related to the first page to the client.
  • the recommended content includes:
  • the first determination unit is used to:
  • An introduction to functions included in the first page is determined as the target content, and the first page is one of the pages of the data analysis product.
  • the first determination unit is used for:
  • the third text used to recommend the target function is determined as the target content.
  • the first determination unit is used for:
  • Predict the target behavior of the first user based on the user behavior and the content included on the first page, which is one of the pages of the data analysis product;
  • the target content is determined based on the target behavior.
  • the device also includes:
  • the fourth acquisition unit is used to acquire recommended content corresponding to the first area on the first page.
  • the recommended content corresponding to the first area includes: an introduction to new functions related to the first area.
  • the first page is one of the pages of the data analysis product;
  • the fourth sending unit is used to send the recommended content corresponding to the first area to the client.
  • the device also includes:
  • the fifth sending unit is configured to send prompt information corresponding to the target task to the client in response to the completion of the target task executed on the server.
  • the target task is a computing task related to the user characteristics.
  • the first acquisition unit is used for:
  • the user characteristics of the first user are obtained, and the first page is one of the pages of the data analysis product.
  • embodiments of the present application provide a data processing device, which is characterized in that it is applied to a client of the first user, and the client is a client running a data analysis product.
  • the device includes:
  • a receiving unit configured to receive target content sent by the server, where the target content is determined based on the user characteristics of the first user;
  • a display unit configured to display the target content in response to the first user accessing the data analysis product.
  • the user characteristics indicate that the first user is a new user
  • the target content includes:
  • the first text conforms to the first description policy, and the first description policy is a description policy corresponding to the new user.
  • the device also includes:
  • a first acquisition unit configured to respond to the first user's request for the first information displayed on the first page.
  • the text-triggered operation obtains the data analysis product introduction material sent by the server, and the first page is the page displayed on the first client;
  • the first display unit is used to display the product introduction material.
  • the user characteristics indicate that the first user is an old user
  • the target content includes:
  • the second text conforms to the second description strategy, and the second description strategy is the description strategy corresponding to the old user.
  • the device also includes:
  • a second acquisition unit configured to acquire recommended content related to the first page sent by the server in response to an operation triggered by the first user for the second text displayed on the first page, the The first page is the page displayed on the first client;
  • the second display unit is used to display the recommended content.
  • the recommended content includes:
  • the target content includes:
  • the first page includes an introduction to the functions.
  • the target content includes:
  • the device also includes:
  • a jump unit configured to jump to a page that provides the target function in response to an operation triggered by the first user for the third text displayed on the first page, where the first page is the first page.
  • the page displayed on the client is configured to jump to a page that provides the target function in response to an operation triggered by the first user for the third text displayed on the first page, where the first page is the first page.
  • the target content is determined based on the target behavior of the first user, and the target behavior of the first user is based on the user behavior of the first user and the content included in the first page displayed by the client.
  • the content is determined.
  • the device also includes:
  • the third display unit is configured to display the recommended content corresponding to the first area sent by the server in response to the first user browsing the first area on the first page.
  • the recommended content corresponding to the first area is Recommended content, including: introduction to new functions related to the first area.
  • the device also includes:
  • the fourth display unit is configured to display prompt information for the target task sent by the server in response to the completion of the target task executed on the server.
  • the target task is a computing task related to the user characteristics.
  • the device also includes:
  • a fifth display unit configured to display a calculation report corresponding to the calculation task in response to an operation triggered by the first user for the prompt information displayed on the first page.
  • embodiments of the present application provide a device, which includes a processor and a memory;
  • the processor is configured to execute instructions stored in the memory, so that the device performs the method described in any one of the first aspects above, or to cause the device to perform the method described in any one of the second aspects above. method.
  • embodiments of the present application provide a computer-readable storage medium, including instructions that instruct the device to perform the method described in any one of the first aspects above, or the instructions instruct the device to perform the second method above. The method described in any of the aspects.
  • embodiments of the present application provide a computer program product.
  • the computer program product When the computer program product is run on a computer, it causes the computer to execute the method described in any one of the above first aspects, or causes the computer to execute the above third aspect. The method described in any one of the two aspects.
  • the embodiment of the present application provides a data processing method.
  • the method can be applied to a server, and the server is used to perform data processing on data analysis products.
  • the server can obtain the user characteristics of the first user, and then determine the target content corresponding to the user characteristics based on the user characteristics, and further, can send the target content to the corresponding user of the first user.
  • the client is configured to process the target content, such as storing the target content, so as to subsequently provide services to the first user based on the target content. Since the target content is determined based on the user characteristics of the first user, providing services to the first user based on the target content can meet the actual needs of the first user. Therefore, the data analysis products mentioned in the embodiments of this application can meet the actual needs of the first user, thereby improving user satisfaction.
  • the embodiment of the present application provides a data processing method.
  • the method can be applied to a client, where the client is a client running a data analysis product.
  • the client can Receive target content sent by the server, and provide services to the first user based on the target content.
  • the target content is determined based on the user characteristics of the first user.
  • the client may display the target content in response to the first user accessing the data analysis product. Precisely because the target content is determined based on the user characteristics of the first user, providing services to the first user based on the target content can meet the actual needs of the first user. Therefore, the data analysis products mentioned in the embodiments of this application can meet the actual needs of the first user, thereby improving user satisfaction.
  • Figure 1 is a signaling interaction diagram of a data processing method provided by an embodiment of the present application.
  • Figure 2 is a schematic structural diagram of a data processing device provided by an embodiment of the present application.
  • Figure 3 is a schematic structural diagram of a data processing device provided by an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present application .
  • the inventor of this application found through research that the user satisfaction of the websites currently providing services to users is not high. This is because the current websites that provide services to users provide general services that cannot meet the personalized needs of users.
  • embodiments of the present application provide a data processing method and device.
  • FIG. 1 is a signaling interaction diagram of a data processing method provided by an embodiment of the present application.
  • the client and server both correspond to data analysis products (for example, cloud charts) applied to web pages.
  • the server is data analysis Products of this type perform data processing, and the client runs the data analysis products.
  • the data analysis product can correspond to a web page, that is, users can obtain the services provided by the data analysis product through the corresponding web page.
  • the data analysis product can correspond to an APP, that is, users can obtain the services 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 who uses the data analysis product.
  • the method may include, for example, the following steps: S101-S104.
  • S101 The server obtains the user characteristics of the first user.
  • the user characteristics of the first user are used to describe the user characteristics of the first user.
  • the user characteristics of the first user may include user attributes of the first user, where the user attributes may include new users or old users.
  • the so-called new users refer to users who use the data analysis products for the first time; the so-called old users refer to users who do not use the data analysis products for the first time.
  • the user characteristics of the first user may include the user behavior of the first user, where the user behavior refers to the behavior of the first user when using the data analysis product.
  • the user behavior may include current behavior and historical behavior, and is not specifically limited in the embodiments of this application.
  • the user characteristics of the first user do not involve sensitive information of the first user, and the user characteristics of the first user are obtained and used after authorization by the first user.
  • the corresponding interface displays prompt information related to obtaining data usage authorization, and the first user determines whether to agree to the authorization.
  • the server may perform S101 after the first user triggers the operation of logging in to the first page.
  • the first page is one of the pages of the data analysis product.
  • the first page is the homepage of the data analysis product; for another example, when the first user is an old user, the first page is the last time the first user used the data analysis product. The last page viewed; etc., I won’t list them one by one here.
  • the server determines the target content corresponding to the user characteristics based on the user characteristics.
  • S103 The server sends the target content to the client corresponding to the first user.
  • S104 The client displays the target content in response to the first user accessing the data analysis product.
  • the server After the server obtains the user characteristics, it can determine target content that meets the first user's needs based on the user characteristics, and send the target content to the first user's client.
  • the target content may be stored so as to subsequently provide services to the first user based on the target content.
  • the client may provide services to the first user based on the target content 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 mentioned here may access the data analysis product by opening the web page of the data analysis product, or by opening the APP corresponding to the data analysis product.
  • the target content is determined based on the user characteristics of the first user
  • providing services to the first user based on the target content can meet the actual needs of the first user. Therefore, using the data analysis products mentioned in the embodiments of this application can meet the actual needs of the first user, thereby improving user satisfaction.
  • the first text that conforms to the first description strategy may be determined as the target content, where the first description strategy is related to the new user.
  • the embodiments of the present application do not specifically limit the first description strategy.
  • the first description strategy may be, for example, a description strategy with a strong affinity, thereby shortening the distance between the first user as a new user and giving the first user Brings a sense of trust.
  • the embodiments of this application do not specifically limit the first text.
  • the first text may be: "Welcome to ***, I am your intelligent assistant. If you have any questions, you can contact me.”
  • the client may store the first text.
  • the first text may be displayed on the first page.
  • an icon corresponding to the intelligent assistant may also be displayed on the first page, and the first text is displayed near an area where the icon corresponding to the intelligent assistant is located.
  • the server may also obtain the data analysis products.
  • the product introduction material of the product is then sent to the client.
  • the product introduction materials include but are not limited to videos, text description documents, pictures and other forms.
  • the client After receiving the product introduction material, the client can store the product introduction material.
  • the client can respond to the operation triggered by the first user on the second text. , obtain the pre-stored product introduction material, and display the product introduction material.
  • the second text that conforms to the second description strategy may be determined as the target content, where the second description strategy is related to the old user.
  • the embodiment of the present application does not specifically limit the second description strategy.
  • the second description strategy may be, for example, a friendly and concise description strategy.
  • the embodiment of the present application does not specifically limit the second text.
  • the second text may be: "Intelligent Assistant is at your service.”
  • the client may store the second text.
  • the second text may be displayed on the first page.
  • an icon corresponding to the intelligent assistant may also be displayed on the first page, and the second text is displayed near an area where the icon corresponding to the intelligent assistant is located.
  • the server may also obtain recommended content related to the first page and send the recommended content related to the first page to the client.
  • the recommended content related to the first page By sending the recommended content related to the first page to the client, when the client of the first user displays the first page, the recommended content related to the first page can be recommended to the user.
  • the embodiments of this application do not specifically limit the recommended content related to the first page.
  • the recommended content related to the first page includes an introduction to functions included in the first page.
  • the recommended content related to the first page includes popular questions and answers related to the first page.
  • the client may store the recommended content related to the first page.
  • the client can obtain the pre-stored operation in response to the operation triggered by the first user on the second text.
  • Recommended content related to the first page and display the recommended content related to the first page, thereby solving the questions that the first user may have about the first page.
  • the user characteristics indicate that the first user stayed on the first page for more than a preset time and did not perform any operation, it means that the first user may not know much about the first page. functionality, so the first user doesn't know what to do.
  • the introduction of functions included in the first page may be determined as the target content. In this way, after the client receives the target content, it can also display the target content. After watching the target content, the first user can understand the functions of the first page and perform corresponding operations.
  • the embodiment of the present application does not specifically limit the preset time.
  • the preset time may be, for example, 1 minute.
  • the third text used to recommend the target function may be determined as the target content.
  • the third text may be text that can embody the value of the target function.
  • the third text is: "Among the users who use the ** function (target function), 90% of users' performance has been improved. You can try it too.”
  • the client may further display the third text.
  • the third text may be displayed on the first page.
  • an icon corresponding to the intelligent assistant may also be displayed on the first page, and the third text is displayed near an area where the icon corresponding to the intelligent assistant is located.
  • the client may, in response to the first user's operation triggered by the third text, jump to a web page that provides the target function, so that the user can use the target function.
  • S102 may predict the first page based on user behavior and the content included in the page currently displayed by the client (for example, the first page). The user's target behavior; then, the target content is determined based on the target behavior. in:
  • the user behavior may be the behavior of the first user in a recent period of time (for example, from the starting time of using the data analysis product to the current time), or it may be the behavior of the first user in a longer period of time.
  • the historical behavior within the segment (for example, the behavior of the first user using the data analysis product multiple times) is not specifically limited in this embodiment of the application.
  • the behavior of multiple users using the data analysis product can be collected in advance, and based on the use of the data analysis by the multiple users product-like behavior, train a model for predicting user behavior, and then input the user behavior of the first user and the content included in the page currently displayed by the client (for example, the first page) into the model, Thus the target behavior is obtained.
  • content related to the target behavior may be determined as the target content.
  • the target content may be an introduction to the function, or jump to the entrance of the web page corresponding to the function.
  • the target content may be displayed on the first page to facilitate the first user to read the target content and further perform the target behavior.
  • some functions will be updated after the data analysis product goes online.
  • This function will be placed in a certain area of a certain page. For example, place it in the first area of the first page. Therefore, in one example, in order to provide a better user experience, in one example, when the user browses to a certain area, the user can be introduced to an introduction to new functions related to the area. For this situation, during specific implementation of S102, recommended content corresponding to the first area on the first page can be obtained.
  • the recommended content corresponding to the first area includes: new functions related to the first area. introduction.
  • the client can store the recommended content corresponding to the first area. Moreover, when the first user browses the first area on the first page, the recommended content corresponding to the first area is displayed so that the first user can understand the new functions corresponding to the first area.
  • the server can also monitor the execution progress of the task. Once a certain task, such as a target task, is completed, the server can respond to the completion of the target task executed on the server and send the prompt information corresponding to the target task. sent to the client.
  • the embodiments of this application do not specifically limit the tasks performed on the server side.
  • the tasks performed on the server side may be tasks related to the data analysis product (such as monitoring the validity period of a certain functional module), or It may be a task related to the first user (for example, verifying a task created by the first user, or a computing task related to the user characteristics of the first user), etc., and is not limited here.
  • the prompt information may be a notification message used to prompt that the target task is successfully executed.
  • the prompt information may be a notification message prompting the successful completion of the aforementioned computing task.
  • the prompt information may also be warning information or error information.
  • the client can display the prompt information on the first page currently displayed by the client.
  • the prompt information is used to indicate the successful completion of the aforementioned computing task
  • the first user can trigger an operation on the prompt information (for example, click on the prompt information ).
  • the client can display the calculation report corresponding to the calculation task in response to the operation triggered by the first user for the prompt information displayed on the first page, so that the first user You can quickly view the calculation report to improve user experience.
  • the embodiment of the present application also provides a device.
  • the device will be introduced below with reference to the accompanying drawings.
  • FIG 2 is a schematic structural diagram of a data processing device provided by an embodiment of the present application.
  • the device 200 shown in Figure 2 is applied to a server that performs data processing for data analysis products.
  • the device includes: a first acquisition unit 201, a first determination unit 202, and a first sending unit 203.
  • the first obtaining unit 201 is used to obtain the user characteristics of the first user
  • the first determining unit 202 is configured to determine target content corresponding to the user characteristics based on the user characteristics
  • the first sending unit 203 is configured to send the target content to the client corresponding to the first user.
  • the user characteristics indicate that the first user is a new user
  • the first determining unit is used to:
  • the first text that conforms to a first description policy is determined as the target content, and the first description policy is a description policy corresponding to the new user.
  • the device also includes:
  • the second acquisition unit is used to acquire product introduction materials for the data analysis products
  • the second sending unit is used to send the product introduction material to the client.
  • the user characteristics indicate that the first user is an old user
  • the first determining unit is used to:
  • the second text that conforms to the second description strategy is determined as the target content, and the second description strategy is the description strategy corresponding to the old user.
  • the device also includes:
  • the third acquisition unit is used to acquire recommended content related to the first page, which is one of the pages of the data analysis product;
  • a third sending unit is configured to send recommended content related to the first page to the client.
  • the recommended content includes:
  • the first determination unit is used to:
  • An introduction to functions included in the first page is determined as the target content, and the first page is one of the pages of the data analysis product.
  • the first determining unit is used to:
  • the third text used to recommend the target function is determined as the target content.
  • the first determination unit is used for:
  • Predict the target behavior of the first user based on the user behavior and the content included on the first page, which is one of the pages of the data analysis product;
  • the target content is determined based on the target behavior.
  • the device also includes:
  • the fourth acquisition unit is used to acquire recommended content corresponding to the first area on the first page.
  • the recommended content corresponding to the first area includes: an introduction to new functions related to the first area.
  • the first page is one of the pages of the data analysis product;
  • the fourth sending unit is used to send the recommended content corresponding to the first area to the client.
  • the device also includes:
  • the fifth sending unit is configured to send prompt information corresponding to the target task to the client in response to the completion of the target task executed on the server.
  • the target task is a computing task related to the user characteristics.
  • the first acquisition unit is used for:
  • the user characteristics of the first user are obtained, and the first page is one of the pages of the data analysis product.
  • the device 200 is a device corresponding to the method provided by the above method embodiments, the specific implementation of each unit of the device 200 is the same concept as the above method embodiments. Therefore, the details about each unit of the device 200 are For specific implementation, reference may be made to the description of the steps performed by the server in the above method embodiments, which will not be described again here.
  • FIG. 3 is a schematic structural diagram of a data processing device provided by an embodiment of the present application.
  • the device 300 shown in Figure 3 is applied to the first user's client, which is a client running a data analysis product.
  • the device 300 includes a receiving unit 301 and a display unit 302.
  • the receiving unit 301 is configured to receive target content sent by the server, where the target content is determined based on the user characteristics of the first user;
  • the display unit 302 is configured to display the target content in response to the first user accessing the data analysis product.
  • the user characteristics indicate that the first user is a new user
  • the target content includes: first text that conforms to a first description strategy, and the first description strategy is a description strategy corresponding to the new user.
  • the device further includes: a first acquisition unit configured to acquire the data analysis class sent by the server in response to an operation triggered by the first user for the first text displayed on the first page.
  • Product introduction material the first page is a page displayed on the first client; a first display unit is used to display the product introduction material.
  • the user characteristics indicate that the first user is an old user
  • the target content includes: second text that conforms to a second description strategy, and the second description strategy is a description strategy corresponding to an old user.
  • the device further includes: a second acquisition unit configured to acquire, in response to an operation triggered by the first user for the second text displayed on the first page, the message sent by the server and the Recommended content related to a first page, which is a page displayed on the first client; and a second display unit used to display the recommended content.
  • a second acquisition unit configured to acquire, in response to an operation triggered by the first user for the second text displayed on the first page, the message sent by the server and the Recommended content related to a first page, which is a page displayed on the first client
  • a second display unit used to display the recommended content.
  • the recommended content includes: an introduction to functions included on the first page; and/or, and Popular questions and answers related to said first page.
  • the target content includes: an introduction to functions included in the first page.
  • the target content includes: a third text for recommending the target function.
  • the device further includes: a jump unit configured to jump to a page providing the target function in response to an operation triggered by the first user for the third text displayed on the first page,
  • the first page is a page displayed on the first client.
  • the target content is determined based on the target behavior of the first user, and the target behavior of the first user is based on the user behavior of the first user and the content included in the first page displayed by the client.
  • the content is determined.
  • the device further includes: a third display unit configured to display recommendations sent by the server corresponding to the first area in response to the first user browsing the first area on the first page.
  • Content, the recommended content corresponding to the first area includes: an introduction to new functions related to the first area.
  • the device further includes: a fourth display unit, configured to display prompt information for the target task sent by the server in response to completion of the target task executed on the server.
  • a fourth display unit configured to display prompt information for the target task sent by the server in response to completion of the target task executed on the server.
  • the target task is a computing task related to the user characteristics.
  • the device further includes: a fifth display unit configured to display a calculation report corresponding to the calculation task in response to an operation triggered by the first user for the prompt information displayed on the first page. .
  • the device 300 is a device corresponding to the method provided by the above method embodiment, the specific implementation of each unit of the device 300 is the same concept as the above method embodiment. Therefore, the details about each unit of the device 300 For specific implementation, reference may be made to the description of the steps performed by the client in the above method embodiments, which will not be described again here.
  • An embodiment of the present application also provides a device, which includes a processor and a memory;
  • the processor is configured to execute instructions stored in the memory, so that the device executes the method executed by the server described in any of the above method embodiments.
  • An embodiment of the present application also provides a device, which includes a processor and a memory;
  • the processor is configured to execute instructions stored in the memory, so that the device executes the method executed by the client described in any of the above method embodiments.
  • FIG. 4 a schematic structural diagram of an electronic device 400 suitable for implementing embodiments of the present application is shown.
  • Electronic devices in the embodiments of this application may include, but are not limited to, mobile phones, notebook computers, digital broadcast receivers, PDA (Personal Digital Assistant, personal digital assistant), PAD (portable android device, tablet computer), PMP (Portable Media Mobile terminals such as player (portable multimedia player), vehicle-mounted terminal (such as vehicle-mounted navigation terminal), and fixed terminals such as digital TV (television), desktop computer, etc.
  • PDA Personal Digital Assistant
  • PAD portable android device, tablet computer
  • PMP Portable Media Mobile terminals such as player (portable multimedia player), vehicle-mounted terminal (such as vehicle-mounted navigation terminal), and fixed terminals such as digital TV (television), desktop computer, etc.
  • PMP Portable Media Mobile terminals such as player (portable multimedia player), vehicle-mounted terminal (such as vehicle-mounted navigation terminal), and fixed terminals such as digital TV (television), desktop computer, etc.
  • the electronic device shown in FIG. 4 is only
  • the electronic device 400 may include a processing device (eg, central processing unit, graphics processor, etc.) 401, which may be loaded into a random access device according to a program stored in a read-only memory (ROM) 402 or from a storage device 408.
  • the program in the memory (RAM) 403 executes various appropriate actions and processes.
  • various programs and data required for the operation of the electronic device 400 are also stored.
  • the processing device 401, ROM 402 and RAM 403 are connected to each other via a bus 404.
  • An input/output (I/O) interface 405 is also connected to bus 404.
  • 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.; including, for example, a liquid crystal display (LCD), speakers, vibration An output device 407 such as a computer; a storage device 408 including a magnetic tape, a hard disk, etc.; and a communication device 409.
  • the communication device 409 may allow the electronic device 400 to communicate wirelessly or wiredly with other devices to exchange data.
  • FIG. 4 illustrates electronic device 400 with various means, it should be understood that implementation or availability of all illustrated means is not required. More or fewer means may alternatively be implemented or provided.
  • the process described above with reference to the flowchart may be implemented as a computer software program.
  • embodiments of the present application include a computer program product including a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart.
  • the computer program may be downloaded and installed from the network via communication device 409, or from storage device 408, or from ROM 402.
  • the processing device 401 When the computer program is executed by the processing device 401, the above functions defined in the method of the embodiment of the present application are performed.
  • the electronic device provided by the embodiments of the present application and the method provided by the above embodiments belong to the same inventive structure. It is thought that technical details that are not described in detail in this embodiment can be referred to the above-mentioned embodiments, and this embodiment has the same beneficial effects as the above-mentioned embodiments.
  • Embodiments of the present application provide a computer-readable medium on which a computer program is stored, wherein when the program is executed by a processor, the method described in any of the above embodiments is implemented. For example, execute a method executed by the server, or execute a method executed by the client.
  • the computer-readable medium mentioned above in this application may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two.
  • the computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples of computer readable storage media may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard drive, random access memory (RAM), read only memory (ROM), removable Programmd read-only memory (EPROM or flash memory), fiber optics, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.
  • the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, in which computer-readable program code is carried. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above.
  • a computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can send, propagate, or transmit 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 suitable medium, including but not limited to: wire, optical cable, RF (radio frequency), etc., or any suitable combination of the above.
  • the client and server can communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and can communicate with digital data in any form or medium.
  • Communications e.g., communications network
  • communications networks include local area networks (“LAN”), wide area networks (“WAN”), the Internet (e.g., the Internet), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or developed in the future network of.
  • the above-mentioned computer-readable medium may be included in the above-mentioned electronic device; it may also exist independently without being assembled into the electronic device.
  • the computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device performs the above method.
  • Computer program code for performing the operations of the present application may be written in one or more programming languages, including, but not limited to, object-oriented programming languages—such as Java, Smalltalk, C++, and Includes conventional procedural programming languages—such as "C” 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.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as an Internet service provider through Internet connection).
  • LAN local area network
  • WAN wide area network
  • Internet service provider such as an Internet service provider through Internet connection
  • each block in the flowchart or block diagram may represent a module, segment, or portion of code that contains one or more logic functions that implement the specified executable instructions.
  • the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown one after another may actually execute substantially in parallel, or they may sometimes execute in the reverse order, depending on the functionality involved.
  • each block of the block diagram and/or flowchart illustration, and combinations of blocks in the block diagram and/or flowchart illustration can be implemented by special purpose hardware-based systems that perform the specified functions or operations. , or can be implemented using a combination of specialized hardware and computer instructions.
  • the units involved in the embodiments of this application can be implemented in software or hardware.
  • the name of the unit/module does not constitute a limitation on the unit itself under certain circumstances.
  • the voice data collection module can also be described as a "data collection module”.
  • FPGAs Field Programmable Gate Arrays
  • ASICs Application Specific Integrated Circuits
  • ASSPs Application Specific Standard Products
  • SOCs Systems on Chips
  • CPLD Complex Programmable Logical device
  • a machine-readable medium may be a tangible medium that may contain or be stored for use by or in connection with an instruction execution system, apparatus, or device program used.
  • the machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium.
  • Machine-readable media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any suitable combination of the foregoing.
  • machine-readable storage media would include one or more wire-based electrical connections, laptop disks, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • RAM random access memory
  • ROM read only memory
  • EPROM or flash memory erasable programmable read only memory
  • CD-ROM portable compact disk read-only memory
  • magnetic storage device or any suitable combination of the above.

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  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
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Abstract

Est divulgué dans la présente demande un procédé de traitement de données. Dans un mode de réalisation, le procédé peut être appliqué à une extrémité de desserte, l'extrémité de desserte étant utilisée pour effectuer un traitement de données sur un produit de type analyse de données. Plus particulièrement, l'extrémité de desserte peut acquérir des caractéristiques d'utilisateur d'un premier utilisateur, puis détermine, sur la base des caractéristiques d'utilisateur, un contenu cible correspondant aux caractéristiques d'utilisateur, et peut en outre envoyer le contenu cible à un client correspondant au premier utilisateur, de telle sorte que le client traite le contenu cible, par exemple, stocke le contenu cible, de façon à fournir ultérieurement des services au premier utilisateur sur la base du contenu cible. Comme le contenu cible est déterminé sur la base des caractéristiques d'utilisateur du premier utilisateur, des services sont fournis au premier utilisateur sur la base du contenu cible, de telle sorte que les demandes réelles du premier utilisateur peuvent être satisfaites. Par conséquent, au moyen du produit de type analyse de données mentionné dans les modes de réalisation de la présente demande, des demandes réelles d'un premier utilisateur peuvent être satisfaites, améliorant ainsi le degré de satisfaction de l'utilisateur.
PCT/CN2023/082637 2022-03-21 2023-03-21 Procédé et appareil de traitement de données WO2023179575A1 (fr)

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