WO2021027709A1

WO2021027709A1 - Page sharing method and apparatus, and electronic device

Info

Publication number: WO2021027709A1
Application number: PCT/CN2020/107735
Authority: WO
Inventors: 史兵兵; 陆东鑫
Original assignee: 阿里巴巴集团控股有限公司
Priority date: 2019-08-14
Filing date: 2020-08-07
Publication date: 2021-02-18
Also published as: CN112398667A

Abstract

Disclosed in embodiments of the present application are a page sharing method and apparatus, and an electronic device. The method comprises: receiving a sharing request for a target page; submitting the sharing request to a server for predicting a sharing mode required by a user; and providing an operation option for selecting the sharing mode according to the prediction result returned by the server. According to the embodiments of the present application, the diversification of page sharing modes can be realized, the user operation is simplified, and the efficiency is improved.

Description

Page sharing method, device and electronic equipment

This application claims the priority of the Chinese patent application filed on August 14, 2019 with the application number 201910749202.9 and the invention title "page sharing method, device and electronic equipment", the entire content of which is incorporated into this application by reference.

Technical field

This application relates to the technical field of page sharing, in particular to a method, device and electronic equipment for page sharing.

Background technique

Page sharing is a commonly used function in page development. Through this function, users can share pages of interest to other users. For example, in the application of the product object information service system, users can be provided with multiple types of pages, including product pages, event pages, and so on. Users can share the above pages with other users to facilitate other purchases. Products, or participate in specific activities, etc.

Among them, in order to meet the diverse needs of users, the page can also achieve diversification of sharing methods, including diversification of sharing channels and diversification of transmission media. For example, regarding sharing channels, you can provide sharing channels through social network tools, in-app sharing channels, and so on. Regarding transmission media, various media such as QR codes and passwords can be provided.

In the prior art, a unified sharing portal is usually provided for the target page. After the user clicks on the sharing portal, a variety of optional sharing channels and transmission media can be provided, and the user can select one of the channels and media for sharing.

The above-mentioned method can realize the diversified support for sharing methods. However, since the user is required to choose from a variety of options, the user's operation will be cumbersome. In addition, for some entry-level users, too many options may interfere with their operations and affect user experience.

Therefore, how to simplify user operations and improve efficiency while diversifying page sharing methods has become a technical problem that needs to be solved by those skilled in the art.

Summary of the invention

This application provides a page sharing method, device, and electronic equipment, which can simplify user operations and improve efficiency while realizing diversified page sharing methods.

This application provides the following solutions:

A method of page sharing, including:

Receive sharing requests for the target page;

Submit the sharing request to the server to predict the sharing method required by the user;

According to the prediction result returned by the server, an operation option for selecting the sharing mode is provided.

A method of page sharing, including:

Obtain a prediction model, which is established based on data records of multiple users in the process of sharing historical pages;

After receiving the sharing mode prediction request for the target page, use the prediction model to predict the sharing mode required by the initiator user;

The prediction result is returned to provide operation options for selecting the sharing method.

A method of page sharing, including:

Obtain the correspondence information between the type of shared content associated with the target page and the appropriate sharing method;

After receiving the sharing method prediction request for the target page, use the corresponding relationship information to predict the sharing method required by the initiator user;

A page sharing device, including:

The sharing request receiving unit is used to receive the sharing request for the target page;

The request submission unit is used to submit the sharing request to the server for predicting the sharing mode required by the user;

The operation option providing unit is used to provide operation options for selecting the sharing mode according to the prediction result returned by the server.

A page sharing device, including:

A predictive model obtaining unit for obtaining a predictive model, the predictive model being established based on data records of multiple users in the process of sharing historical pages;

The first prediction unit is configured to use the prediction model to predict the sharing mode required by the initiator user after receiving the sharing mode prediction request for the target page;

The first result returning unit is used to return the prediction result and used to provide operation options for selecting the sharing mode.

A page sharing device, including:

The corresponding relationship obtaining unit is used to obtain the corresponding relationship information between the shared content type associated with the target page and a suitable sharing method;

The second prediction unit is configured to use the corresponding relationship information to predict the sharing mode required by the initiator user after receiving the sharing mode prediction request for the target page;

The second result returning unit is used to return the prediction result and used to provide operation options for selecting the sharing mode.

An electronic device including:

One or more processors; and

A memory associated with the one or more processors, where the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the following operations:

Receive sharing requests for the target page;

According to the prediction result returned by the server, operation options for selecting the sharing method are provided.

An electronic device including:

One or more processors; and

An electronic device including:

One or more processors; and

According to the specific embodiments provided in this application, this application discloses the following technical effects:

Through the embodiment of the present application, after receiving the sharing request for the target page, the user may first predict the sharing mode that the user may need, and then provide specific operation options for selecting the sharing mode according to the prediction result. In this way, while diversifying sharing methods can be realized, the efficiency of selection can be improved, thereby enhancing the user experience.

Of course, implementing any product of this application does not necessarily need to achieve all the advantages described above at the same time.

Description of the drawings

In order to explain the embodiments of the present application or the technical solutions in the prior art more clearly, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings in the following description are only some of the present application. Embodiments, for those of ordinary skill in the art, without creative work, other drawings can be obtained from these drawings.

Figure 1 is a schematic diagram of a system architecture provided by an embodiment of the present application;

Figure 2 is a flowchart of the first method provided by an embodiment of the present application;

Figure 3 is a schematic diagram of an interface provided by an embodiment of the present application;

Figure 4 is a flowchart of a second method provided by an embodiment of the present application;

FIG. 5 is a flowchart of a third method provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of a first device provided by an embodiment of the present application;

Figure 7 is a schematic diagram of a second device provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of a third device provided by an embodiment of the present application;

Fig. 9 is a schematic diagram of an electronic device provided by an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the protection scope of this application.

In the embodiments of this application, in order to help users quickly select a suitable sharing method, after receiving a sharing request for the target page, firstly, the user may predict the sharing method that the user may need, and then, according to the prediction result, The user provides specific operation options for selecting the sharing method. For example, if there is a matching target sharing method in the prediction result, the target sharing method can be listed separately, and can be given priority to users for selection; of course, the prediction result is inaccurate, therefore, you can also provide a default The choice entry, that is, to provide more optional sharing methods for users to choose. In addition, if a matching target sharing method cannot be predicted, the default selection entry can be directly provided, that is, a variety of optional sharing methods can be directly provided. In this way, on the basis of providing users with a variety of optional sharing methods, by predicting the sharing methods users currently need, giving users priority to provide users with the sharing methods they are most likely to need. This can help Users can quickly locate the sharing method they need to improve efficiency.

For specific implementation, from the perspective of system architecture, as shown in Figure 1, an SDK (software development kit) for predicting the sharing method can be provided in advance, and then the application or page developer can introduce the SDK into the specific In pages with sharing needs. In this way, after receiving the sharing request on the page, the imported SDK can be called to make predictions. Among them, the prediction process may involve the call of the prediction model. Among them, the specific prediction model can be stored on the server. The SDK can submit the sharing content information by initiating a request to the server, and the server can obtain the prediction. The result is returned afterwards. Or, if the prediction is not made by a specific prediction model, but by the corresponding relationship between the pre-established sharing content type and the appropriate sharing method, the corresponding relationship can also be saved on the server, and the SDK can access The server obtains specific prediction results. After obtaining the prediction result, the specific operation options are displayed in the pop-up window and other interfaces.

The specific implementation solutions provided by the embodiments of the present application are described in detail below.

Example one

First of all, Embodiment 1 of the present application provides a page sharing method. Referring to FIG. 2, the method may specifically include:

S201: Receive a sharing request for the target page;

In the embodiment of the present application, the target page may refer to the H5 page in a specific application, and so on. There may be multiple specific application programs, for example, may include the application program of the commodity object information service system. Specifically, from the perspective of page content, there can be many types of content to be shared. For example, in the application of the product target information service system, there will be some product target pages, and users may need to share such pages with other users. To facilitate other users to purchase the product object. Or, there may be some activities (for example, group buying activities, or activities where a certain number of people form a team, etc.) pages, users can share this page with other users to invite other users to join the activities, etc. . For the above-mentioned pages with sharing requirements, an entry for initiating a sharing request to the page can be provided at a certain position on the page, and the user can initiate a sharing request through this entry, and correspondingly, the specific page can receive the request.

S202: Submit the sharing request to the server for prediction of the sharing method required by the user;

After receiving the specific sharing request, in the embodiment of the present application, the user's required sharing mode can be predicted first. In specific implementation, as described above, the prediction function can be implemented through the pre-introduced SDK. Among them, the SDK can submit the sharing request to the server, and the server can predict the specific sharing method.

In specific implementation, there can be multiple specific prediction methods. For example, in one way, a prediction model can be built on the server in advance, and this prediction model can be used to predict the specific sharing method required. Among them, the specific prediction model may be established based on historical data of massive users in the historical sharing process. In other words, it can be learned through algorithms that for the same or similar shared content, most users or users with certain identity characteristics usually choose which sharing method to share. According to the specific learning results, Then you can build a predictive model. Specifically, the input information of the prediction model may have multiple types, for example, it may include shared content information associated with the target page, the user's identity feature information, and/or browsing path information. In other words, predictions can be made based on the type of shared content. For example, for the shared content of the commodity object information type, most users like to share the content through the QR code as a transmission medium, and so on. It can also be predicted based on the user's identity characteristics. For example, most students or office workers like to share using passwords as a transmission medium, while older users like to share using a QR code as a transmission medium, and so on. In addition, you can also make predictions based on the browsing path. For example, if the current target page is browsed through the homepage of the application client, most of them will use the password as the transmission medium for sharing, if it is done by jumping from other applications Most of the browsing of the current target page will use the QR code as the transmission medium for sharing, and so on. Of course, it is also possible to synthesize the above-mentioned multiple input information to predict the sharing methods that users may need.

In addition to using pre-established prediction models for prediction, predictions can also be made by pre-establishing corresponding relationships. That is to say, under normal circumstances, which kind of sharing method is more suitable for a specific type of sharing content, usually has a certain regularity. For example, if the content to be shared is product object information, the above-mentioned needs are often generated during the face-to-face process of two users. Therefore, in this scenario, it is usually more suitable to use a QR code as a transmission medium for sharing, so that Both parties can complete the sharing of the target page by scanning the code face to face. Or, if the content to be shared is event invitation information, it usually needs to be sent to multiple users, and some third-party social tools may restrict the QR code of this type of sharing information, so it is more suitable The password is used as the transmission medium, so that the recipient can copy the password after receiving the password through social tools, etc., and then open the associated application to enter the shared target page. In addition, if the content to be shared is product object information of a specific category (for example, some product objects for elderly users, etc.), and/or the user has associated user information bound to the application (for example, through " "Family account" and other methods are bound to the parent’s account, etc.), because the recipient of the shared content may usually be the elderly, etc., it may be unfamiliar with too many operations (scanning codes, copying passwords, etc.). Therefore, it is more suitable to use messages as a transmission medium and share through the in-app messaging system as a sharing channel. In this way, the recipient can directly receive the shared information in the in-app messaging system. The information can exist in the form of a card. The user can enter the shared target page by clicking on the card in the messaging system, etc. .

In short, the corresponding relationship between various types of shared content and suitable sharing methods can be established in advance. In this way, after receiving a specific sharing request, the type of shared content associated with the target page can be determined first, and then through the The method of comparing the corresponding relationship can predict the sharing method required by the user.

S203: According to the prediction result returned by the server, an operation option for selecting a sharing mode is provided.

After the server completes the prediction and obtains the prediction result, it can be returned to the SDK to provide specific operation options in the front-end interface. Among them, the prediction result may have two situations. One situation is that the matching target sharing method can be predicted, and the other is that the sharing method that matches the current sharing content, users, browsing path, etc. cannot be predicted. In view of the former case, when an optional sharing method is provided, the target sharing method may be listed separately first, so as to prompt the user to select the sharing method first. Of course, because the prediction result is only obtained according to a certain probability, there is also the possibility that the prediction result does not meet the current user needs. For this reason, while providing the above target sharing method, you can also provide a default sharing method selection entry , Through this selection portal, more optional sharing methods can be provided. In the case that the prediction result does not meet the needs of the user, the user can also select other sharing methods through the default selection entry. In the latter case, since no suitable sharing method is predicted, the default selection entry can be directly given to select from a variety of optional sharing methods. For example, as shown in Figure 3, suppose a user needs to share the page with other users when browsing the page of a certain product object. Through prediction, it is found that the two-dimensional code is suitable for sharing. Therefore, the two-dimensional code can be given priority Make a separate list, and you can also give prompt information such as "Recommend QR Code Sharing for You" as shown at 31. In addition, in order to facilitate users to choose more sharing methods, as shown at 32, you can also give prompt messages such as "You can also choose the following other sharing methods", and so on. In specific implementation, when the default sharing mode selection entry is provided, the multiple optional sharing modes can also be sorted according to the user's operating habit information. That is, the user's historical selection habits and other information can be recorded, and the sharing methods can be sorted according to the number of times selected in the historical sharing process, and so on. In addition, it is also possible to highlight the sharing methods whose selection probability is higher than the threshold according to the sorting results, for example, highlighting the size and position of the page elements corresponding to the sharing method, etc., to make it more convenient for users to choose.

Among them, in the case of forecasting through the predictive model, because the specific model can be shared by multiple users, it mainly reflects the commonality among a large number of users. However, in practical applications, different users The room may still have some personalized needs. For example, the prediction method predicted by the current user through the prediction model may be a two-dimensional code method, but when the user finally shares, he may not adopt this method, but choose the password method, and so on. In view of this situation, in a preferred embodiment, after the operation option is provided, the actual sharing method selected by the user can also be obtained. If the actual sharing method selected by the user is different from the predicted sharing method, the The prediction model can be adjusted by the sharing mode actually selected by the user, so that a personalized prediction model for the user can be gradually generated, so that when subsequent predictions are made again, the personalized prediction model associated with the user can be used The prediction model makes predictions to improve the accuracy of predictions.

It should be noted that, in the embodiment of the present application, the specific sharing method may include the transmission medium and/or the sharing channel of the shared content. That is to say, in the forecasting process and in the process of providing the selection portal, it may include the prediction of the transmission medium and/or sharing channel and the provision of the selection portal.

In short, through the embodiment of the present application, after receiving the sharing request for the target page, the user may first predict the sharing mode that the user may need, and then provide specific operation options for selecting the sharing mode according to the prediction result. In this way, while diversifying sharing methods can be realized, the efficiency of selection can be improved, thereby enhancing the user experience.

Example two

The second embodiment provides a page sharing method from the perspective of the server. In this method, the prediction model can be saved on the server in advance. After the client receives a specific sharing request, the SDK can be embedded in the page. A prediction request is initiated to the server, and then the server makes a prediction based on the prediction model. Specifically, referring to FIG. 4, the method may specifically include:

S401: Obtain a prediction model, where the prediction model is established based on data records of multiple users in the process of sharing historical pages;

S402: After receiving the sharing mode prediction request for the target page, use the prediction model to predict the sharing mode required by the initiator user;

S403: Return the prediction result to provide an operation option for selecting the sharing mode.

In a specific implementation, the shared content information associated with the target page, the identity feature information of the initiator user, and/or the browsing path information may be used as the input information of the prediction model to predict the sharing mode.

In addition, if the sharing method actually selected by the initiator user is different from the predicted sharing method, the prediction model is adjusted using the sharing method actually selected by the initiator user to generate a personality specific to the initiator user Chemical forecasting model. In this way, subsequent more accurate predictions can be made for users based on this personalized prediction model.

Example three

The third embodiment also provides a page sharing method from the perspective of the server. The difference from the second embodiment is that in the third embodiment, the server pre-stored may not be the prediction model, but the type of shared content and suitable Correspondence information between sharing methods, so that after receiving a specific prediction request, a suitable sharing method can be directly determined and recommended according to the type of content to be shared. Specifically, referring to FIG. 5, the method may specifically include:

S501: Obtain correspondence information between the type of shared content associated with the target page and a suitable sharing method;

S502: After receiving the sharing mode prediction request for the target page, use the corresponding relationship information to predict the sharing mode required by the initiator user;

S503: Return the prediction result to provide an operation option for selecting the sharing mode.

Regarding the unspecified parts in the second embodiment and the third embodiment, please refer to the record in the first embodiment, which will not be repeated here.

It needs to be clarified that if the requirements of the applicable laws and regulations of the country are met (for example, the user's explicit consent, effective notification to the user, etc.), the user-specific solution described in this article can be used within the scope permitted by applicable laws and regulations. Personal data.

Corresponding to Embodiment 1, this embodiment of the present application also provides a page sharing device. Referring to FIG. 6, the device may specifically include:

The sharing request receiving unit 601 is configured to receive a sharing request for the target page;

The request submission unit 602 is configured to submit the sharing request to the server, so as to predict the sharing mode required by the user;

The operation option providing unit 603 is configured to provide operation options for selecting the sharing mode according to the prediction result returned by the server.

During specific implementation, the operation option providing unit may be specifically used for:

If there is a matching target sharing method in the prediction result, the target sharing method is provided first.

In addition, the operation option providing unit may also be used for:

When the target sharing method is provided, a default sharing method selection entry is also provided, and the default sharing method selection entry is used to select multiple optional sharing methods.

In addition, the operation option providing unit may also be specifically used for:

If the sharing method cannot be predicted, a default sharing method selection entry is provided, and the default sharing method selection entry is used to select multiple optional sharing methods.

During specific implementation, the device may also include:

The sorting unit is configured to sort the multiple optional sharing methods according to the user's operation habit information when the default sharing method selection entry is provided.

It can also include:

The highlighting unit is used to highlight the sharing methods with a probability higher than the threshold selected by the user according to the sorting result.

Wherein, in specific implementation, the server is specifically used for:

A pre-established sharing mode prediction model is used to predict the sharing mode required by the user; the prediction model is established based on data records of multiple users in the process of sharing historical pages.

Wherein, the input information of the prediction model includes: shared content information associated with the target page, the user's identity feature information, and/or browsing path information.

In addition, the device may also include:

The actual selection result submission unit is used to submit the actual selection result of the user to the server to the server if the actually selected sharing method is different from the predicted sharing method after the operation option is provided The sharing mode actually selected by the user adjusts the prediction model to generate a personalized prediction model for the user.

In addition, the server can be specifically used for:

According to the corresponding relationship between the shared content type associated with the target page and the suitable sharing method, the user's required sharing method is predicted.

Specifically, if the content to be shared is product object information, predicting the sharing method required by the user includes: sharing using a graphic code as a transmission medium.

or,

If the content to be shared is event invitation information, it is predicted that the sharing method required by the user includes: using a password as a transmission medium and sharing through a social network tool as a sharing channel.

or,

If the content to be shared is product object information of a specific category, and/or the user has associated user information bound in the app, predicting the sharing method required by the user includes: using message as a transmission medium through in-app ’S messaging system serves as a sharing channel for sharing.

Wherein, the sharing method includes the transmission medium and/or sharing channel of the shared content.

Corresponding to the second embodiment, the embodiment of the present application also provides a page sharing device. Referring to FIG. 7, the device may specifically include:

The prediction model obtaining unit 701 is configured to obtain a prediction model, which is established based on data records of multiple users in the process of sharing historical pages;

The first prediction unit 702 is configured to use the prediction model to predict the sharing mode required by the initiator user after receiving the sharing mode prediction request for the target page;

The first result returning unit 703 is configured to return the prediction result, so as to provide operation options for selecting the sharing mode.

Specifically, the first prediction unit may be specifically used for:

The sharing content information associated with the target page, the identity feature information of the initiator user, and/or the browsing path information are used as input information of the prediction model to predict the sharing mode.

In addition, the device may also include:

The model adjustment unit is configured to, if the sharing mode actually selected by the initiator user is different from the predicted sharing mode, use the sharing mode actually selected by the initiator user to adjust the prediction model to generate The user’s personalized prediction model.

Corresponding to the third embodiment, the embodiment of the present application also provides a page sharing device. Referring to FIG. 8, the device may specifically include:

The corresponding relationship obtaining unit 801 is configured to obtain corresponding relationship information between the type of shared content associated with the target page and a suitable sharing method;

The second prediction unit 802 is configured to use the corresponding relationship information to predict the sharing mode required by the initiator user after receiving the sharing mode prediction request for the target page;

The second result returning unit 803 is configured to return the prediction result, so as to provide operation options for selecting the sharing mode.

In addition, an embodiment of the present application also provides an electronic device, including:

One or more processors; and

Receive sharing requests for the target page;

According to the prediction result of the server, an operation option for selecting a sharing method is provided.

Another type of electronic equipment includes:

One or more processors; and

And, another electronic device, including:

One or more processors; and

Among them, FIG. 9 exemplarily shows the architecture of an electronic device. For example, the device 900 can be a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, or a personal digital assistant. , Aircraft, etc.

9, the device 900 may include one or more of the following components: a processing component 902, a memory 904, a power supply component 906, a multimedia component 908, an audio component 910, an input output (I/O) interface 912, a sensor component 914, and communication Component 916.

The processing component 902 generally controls the overall operations of the device 900, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 902 may include one or more processors 920 to execute instructions to complete all or part of the steps of the method provided by the technical solution of the present disclosure. In addition, the processing component 902 may include one or more modules to facilitate the interaction between the processing component 902 and other components. For example, the processing component 902 may include a multimedia module to facilitate the interaction between the multimedia component 908 and the processing component 902.

The memory 904 is configured to store various types of data to support the operation of the device 900. Examples of such data include instructions for any application or method operating on the device 900, contact data, phone book data, messages, pictures, videos, etc. The memory 904 can be implemented by any type of volatile or nonvolatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable and Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic Disk or Optical Disk.

The power supply component 906 provides power to various components of the device 900. The power supply component 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 900.

The multimedia component 908 includes a screen that provides an output interface between the device 900 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, sliding, and gestures on the touch panel. The touch sensor can not only sense the boundary of the touch or slide action, but also detect the duration and pressure related to the touch or slide operation. In some embodiments, the multimedia component 908 includes a front camera and/or a rear camera. When the device 900 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 910 is configured to output and/or input audio signals. For example, the audio component 910 includes a microphone (MIC). When the device 900 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive external audio signals. The received audio signal may be further stored in the memory 904 or transmitted via the communication component 916. In some embodiments, the audio component 910 further includes a speaker for outputting audio signals.

The I/O interface 912 provides an interface between the processing component 902 and a peripheral interface module. The above-mentioned peripheral interface module may be a keyboard, a click wheel, a button, and the like. These buttons may include but are not limited to: home button, volume button, start button, and lock button.

The sensor component 914 includes one or more sensors for providing the device 900 with various aspects of state evaluation. For example, the sensor component 914 can detect the on/off status of the device 900 and the relative positioning of components. For example, the component is the display and the keypad of the device 900. The sensor component 914 can also detect the position change of the device 900 or a component of the device 900. , The presence or absence of contact between the user and the device 900, the orientation or acceleration/deceleration of the device 900, and the temperature change of the device 900. The sensor component 914 may include a proximity sensor configured to detect the presence of nearby objects when there is no physical contact. The sensor component 914 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 914 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

The communication component 916 is configured to facilitate wired or wireless communication between the device 900 and other devices. The device 900 can access a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G/LTE, 5G and other mobile communication networks, or a combination thereof. In an exemplary embodiment, the communication component 916 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 916 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, the device 900 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable A gate array (FPGA), controller, microcontroller, microprocessor, or other electronic components are implemented to implement the above methods.

In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as a memory 904 including instructions, which can be executed by the processor 920 of the device 900 to complete the method provided by the technical solutions of the present disclosure . For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

From the description of the foregoing implementation manners, it can be understood that those skilled in the art can clearly understand that this application can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product can be stored in a storage medium, such as ROM/RAM, magnetic disk , CD-ROM, etc., including several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in each embodiment or some parts of the embodiment of this application.

The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment. The system and system embodiments described above are merely illustrative, where the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, namely It can be located in one place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments. Those of ordinary skill in the art can understand and implement it without creative work.

The page sharing method, device, and electronic equipment provided in this application are described in detail above. Specific examples are used in this article to illustrate the principles and implementation of this application. The description of the above embodiments is only used to help understand this application. The method and its core idea; at the same time, for ordinary technicians in the field, according to the idea of this application, there will be changes in the specific implementation and the scope of application. In summary, the content of this specification should not be construed as a limitation on this application.

Claims

A method for page sharing, characterized in that it includes:

Receive sharing requests for the target page;

Submit the sharing request to the server to predict the sharing method required by the user;

According to the prediction result returned by the server, an operation option for selecting the sharing mode is provided.
The method according to claim 1, wherein:

According to the prediction result, the operation options provided for selecting the sharing method include:

If there is a matching target sharing method in the prediction result, the target sharing method is provided first.
The method according to claim 2, further comprising:

When the target sharing method is provided, a default sharing method selection entry is also provided, and the default sharing method selection entry is used to select multiple optional sharing methods.
The method according to claim 1, wherein:

According to the prediction result returned by the server, the operation options provided for selecting the sharing method include:

If the sharing method cannot be predicted, a default sharing method selection entry is provided, and the default sharing method selection entry is used to select multiple optional sharing methods.
The method according to claim 3 or 4, further comprising:

When the default sharing mode selection entry is provided, the multiple optional sharing modes are sorted according to the user's operating habit information.
The method according to claim 5, further comprising:

According to the sorting results, the sharing methods with the user's selection probability higher than the threshold are highlighted.
The method according to claim 1, wherein:

The prediction of the sharing method required by users includes:

A pre-established sharing mode prediction model is used to predict the sharing mode required by the user; the prediction model is established based on data records of multiple users in the process of sharing historical pages.
The method according to claim 7, wherein:

The input information of the prediction model includes: shared content information associated with the target page, the user's identity feature information, and/or browsing path information.
The method according to claim 7, further comprising:

After the operation options are provided, if the sharing method actually selected by the user is different from the predicted sharing method, the sharing method actually selected by the user is submitted to the server, so that the server uses the sharing method actually selected by the user The prediction model is adjusted to generate a personalized prediction model for the user.
The method according to claim 1, wherein:

The prediction of the sharing method required by users includes:

According to the corresponding relationship between the type of shared content associated with the target page and the appropriate sharing method, predict the sharing method required by the user.
The method according to claim 10, wherein:

The prediction of the sharing method required by users includes:

If the content to be shared is product object information, it is predicted that the sharing method required by the user includes: sharing with a graphic code as a transmission medium.
The method according to claim 10, wherein:

The prediction of the sharing method required by users includes:

If the content to be shared is event invitation information, it is predicted that the sharing method required by the user includes: using a password as a transmission medium and sharing through a social network tool as a sharing channel.
The method according to claim 10, wherein:

The prediction of the sharing method required by users includes:

If the content to be shared is the product object information of a specific category, and/or the user has associated user information bound to the app, the predictive sharing method required by the user includes: using message as a transmission medium through in-app message The system serves as a sharing channel for sharing.
The method according to any one of claims 1 to 13, characterized in that,

The sharing method includes the transmission medium and/or sharing channel of the shared content.
A method for page sharing, characterized in that it includes:

Obtain a prediction model, which is established based on data records of multiple users in the process of sharing historical pages;

After receiving the sharing mode prediction request for the target page, use the prediction model to predict the sharing mode required by the initiator user;

The prediction result is returned to provide operation options for selecting the sharing method.
The method according to claim 15, wherein:

The use of the prediction model to predict a sharing manner includes:

The sharing content information associated with the target page, the identity feature information of the initiator user, and/or the browsing path information are used as input information of the prediction model to predict the sharing mode.
The method according to claim 15, further comprising:

If the sharing mode actually selected by the initiator user is different from the predicted sharing mode, the prediction model is adjusted using the sharing mode actually selected by the initiator user to generate a personalized prediction for the initiator user model.
A method for page sharing, characterized in that it includes:

Obtain the correspondence information between the type of shared content associated with the target page and the appropriate sharing method;

After receiving the sharing method prediction request for the target page, use the corresponding relationship information to predict the sharing method required by the initiator user;

The prediction result is returned to provide operation options for selecting the sharing method.
A page sharing device, characterized in that it comprises:

The sharing request receiving unit is used to receive the sharing request for the target page;

The request submission unit is used to submit the sharing request to the server for predicting the sharing mode required by the user;

The operation option providing unit is used to provide operation options for selecting the sharing mode according to the prediction result returned by the server.
A page sharing device, characterized in that it comprises:

A predictive model obtaining unit for obtaining a predictive model, the predictive model being established based on data records of multiple users in the process of sharing historical pages;

The first prediction unit is configured to use the prediction model to predict the sharing mode required by the initiator user after receiving the sharing mode prediction request for the target page;

The first result returning unit is used to return the prediction result and used to provide operation options for selecting the sharing mode.
A page sharing device, characterized by comprising:

The corresponding relationship obtaining unit is used to obtain the corresponding relationship information between the shared content type associated with the target page and a suitable sharing method;

The second prediction unit is configured to use the corresponding relationship information to predict the sharing mode required by the initiator user after receiving the sharing mode prediction request for the target page;

The second result returning unit is used to return the prediction result and used to provide operation options for selecting the sharing mode.
An electronic device, characterized in that it comprises:

One or more processors; and

A memory associated with the one or more processors, where the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the following operations:

Receive sharing requests for the target page;

Submit the sharing request to the server to predict the sharing method required by the user;

According to the prediction result returned by the server, operation options for selecting the sharing method are provided.
An electronic device, characterized in that it comprises:

One or more processors; and

A memory associated with the one or more processors, where the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the following operations:

Obtain a prediction model, which is established based on data records of multiple users in the process of sharing historical pages;

After receiving the sharing mode prediction request for the target page, use the prediction model to predict the sharing mode required by the initiator user;

The prediction result is returned to provide operation options for selecting the sharing method.
An electronic device, characterized in that it comprises:

One or more processors; and

A memory associated with the one or more processors, where the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, perform the following operations:

Obtain the correspondence information between the type of shared content associated with the target page and the appropriate sharing method;

After receiving the sharing method prediction request for the target page, use the corresponding relationship information to predict the sharing method required by the initiator user;

The prediction result is returned to provide operation options for selecting the sharing method.