CN111752893A

CN111752893A - Data sharing method and device, storage medium and computer system

Info

Publication number: CN111752893A
Application number: CN201910982891.8A
Authority: CN
Inventors: 王钦; 侯会满
Original assignee: Beijing Jingdong Century Trading Co Ltd; Beijing Jingdong Shangke Information Technology Co Ltd
Current assignee: Beijing Jingdong Century Trading Co Ltd; Beijing Jingdong Shangke Information Technology Co Ltd
Priority date: 2019-10-16
Filing date: 2019-10-16
Publication date: 2020-10-09

Abstract

The present disclosure relates to the field of internet technologies, and in particular, to a data sharing method, a data sharing apparatus, a storage medium, and a computer system. The method comprises the following steps: acquiring data to be processed selected by a user; receiving a sharing request of the user, wherein the sharing request comprises: data identification and target type to be processed; and processing the data content corresponding to the data to be processed according to a preset processing rule corresponding to the target type to acquire the data to be shared. According to the technical scheme, the user can select and share the data content in a personalized manner.

Description

Data sharing method and device, storage medium and computer system

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to a data sharing method, a data sharing apparatus, a storage medium, and a computer system.

Background

The rapid development of internet technology at any time, the information generated by the internet shows the growing trend of geometric progression, the content of the information is richer, and the way of information propagation is more various and convenient.

In the prior art, when information is shared among users, the information can be shared through social software, instant messaging software or shopping software. Specifically, modes such as screen image capturing, link sharing, and the like can be adopted. However, for comment information or question and answer information of a certain topic, because the quality of each comment or question and answer content is uneven, when a user shares information or data, the user cannot effectively screen high-quality data, and the propagation of high-quality content cannot be effectively promoted; and also create much redundant information that interferes with content sharing and reading.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The present disclosure aims to provide a data sharing method, a data sharing apparatus, a storage medium, and a computer system, so as to overcome limitations and defects of related technologies at least to some extent, and provide a scheme capable of sharing high-quality content more accurately, screening content according to a requirement, and sharing the screened content.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to a first aspect of the present disclosure, a data sharing method is provided, including:

acquiring data to be processed selected by a user;

receiving a sharing request of the user, wherein the sharing request comprises: data identification and target type to be processed;

and processing the data content corresponding to the data to be processed according to a preset processing rule corresponding to the target type to acquire the data to be shared.

In an exemplary embodiment of the present disclosure, the acquiring the to-be-processed data selected by the user includes:

responding to a data retrieval request of a user, and generating a corresponding data list;

and receiving target information selected by the user in the data list to use the target information as the data to be processed.

In an exemplary embodiment of the present disclosure, the generating a corresponding data list in response to a data retrieval request of a user includes:

receiving a data retrieval request of a user, wherein the data retrieval request comprises: at least one target phrase;

and searching a target search engine according to the target phrase to generate a data list corresponding to the target phrase.

In an exemplary embodiment of the present disclosure, the processing, according to a preset processing rule corresponding to the target type, data content corresponding to the to-be-processed data to obtain corresponding to-be-shared data includes:

extracting data content corresponding to the data to be processed according to the data to be processed identifier;

and writing the data content into a data template corresponding to the target type, and configuring the playing parameters of the data template to generate the data to be shared of the target type.

In an exemplary embodiment of the present disclosure, the target type includes: any one or more of a video format, an image format, and a web page format.

In an exemplary embodiment of the present disclosure, the sharing request further includes: writing data by a user; the user writing data includes: text data and/or video data;

when the data content is written into the data template corresponding to the target type, the method further includes:

and writing the user write data into a data template corresponding to the target type.

In an exemplary embodiment of the present disclosure, the method further comprises:

and storing the data to be shared to a target database, and configuring a corresponding unique sharing identifier.

receiving a shared data query request of the user, wherein the shared data query request comprises a shared identifier or a user identifier of the user;

and extracting the corresponding data to be shared from the target database according to the sharing identification or the user identification, and configuring a sharing link for the data to be shared.

According to a second aspect of the present disclosure, there is provided a data sharing apparatus, including:

the data to be processed acquisition module is used for acquiring data to be processed selected by a user;

a sharing request response module, configured to receive a sharing request of the user, where the sharing request includes: data identification and target type to be processed;

and the data to be shared generating module is used for processing the data content corresponding to the data to be processed according to the preset processing rule corresponding to the target type so as to acquire the data to be shared.

According to a third aspect of the present disclosure, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the data sharing method described above.

According to a fourth aspect of the present disclosure, there is provided a computer system comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to execute the above-mentioned data sharing method via executing the executable instructions.

In the data sharing method provided by the embodiment of the disclosure, after the to-be-processed data selected by the user is acquired, when the sharing request of the user is received, the to-be-processed data is processed according to a certain preset rule according to the target type actually required by the user and included in the sharing request, so that the converted to-be-shared data is obtained. Therefore, the individual requirements of the user on the sharing data form and the content can be met.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

Fig. 1 schematically illustrates a flow chart of a data sharing method in an exemplary embodiment of the present disclosure;

FIG. 2 is a diagram schematically illustrating a method of sharing data by intercepting a screen image according to an exemplary embodiment of the present disclosure;

FIG. 3 is a diagram schematically illustrating a method for sharing data by sharing pages in an exemplary embodiment of the disclosure;

FIG. 4 is a schematic diagram illustrating an interactive interface for retrieving interest information in an exemplary embodiment of the present disclosure;

FIG. 5 is a diagram schematically illustrating an interactive interface presenting interest information retrieval results in an exemplary embodiment of the present disclosure;

FIG. 6 is a diagram schematically illustrating an interactive interface for a user to select a search result in an exemplary embodiment of the present disclosure;

FIG. 7 is a schematic diagram illustrating an interactive interface for a user to select a target format in an exemplary embodiment of the present disclosure;

fig. 8 is a schematic diagram schematically illustrating a presentation effect of data to be shared in a video format in an exemplary embodiment of the disclosure;

fig. 9 is a schematic diagram illustrating a presentation effect of data to be shared in an album format according to an exemplary embodiment of the disclosure;

fig. 10 is a schematic diagram schematically illustrating a display effect of data to be shared in a web page format in an exemplary embodiment of the disclosure;

FIG. 11 is a schematic diagram illustrating a method of updating search engine data content in an exemplary embodiment of the present disclosure;

fig. 12 schematically illustrates a composition diagram of a data sharing apparatus in an exemplary embodiment of the present disclosure;

FIG. 13 schematically illustrates a composition diagram of a computer system in an exemplary embodiment of the disclosure;

FIG. 14 schematically illustrates a schematic diagram of a program product in an exemplary embodiment of the disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

In the prior art, when information or data is shared, for example, when data or information such as videos, articles, or commodities is shared, a link is generally shared, for example, by wechat, panning, and the like. For the evaluation information or the question and answer information of the commodity, sharing is generally realized by intercepting a screen image or sharing the whole page of the subject during sharing. For example, for an e-commerce platform, the attention and the heat of the evaluation of commodities and the content of questions and answers are gradually increased, but the sharing manner is relatively single, for example, referring to fig. 2, a picture is generated for a question and answer subject by means of capturing a screen for sharing. Or, a link of the question and answer topic is generated, and all page information corresponding to the sharing topic is shared in the social software and the instant messaging software, for example, as shown in fig. 3, the complete page information of the question and answer topic is shared in the WeChat. The sharing mode contains all contents, which cannot be screened out from the information which is not interesting or useless for the user, such as obvious artificial 'screen refreshing' information, or obvious information irrelevant to the subject, or low-quality information, and the contents which are not wanted to be shared cannot be shielded, ignored or deleted. Similarly, the user receiving the share needs to screen the content that he needs to read.

The embodiment of the present invention first provides a data sharing method, which can be applied to platforms such as e-commerce websites, social networking websites or question and answer websites, and can screen and sort and share content such as comment data and question and answer data. Referring to fig. 1, the data sharing method may include the following steps:

s1, acquiring the data to be processed selected by the user;

s2, receiving a sharing request of the user, where the sharing request includes: data identification and target type to be processed;

and S3, processing the data content corresponding to the data to be processed according to the preset processing rule corresponding to the target type to obtain the data to be shared.

According to the data sharing method provided by the embodiment of the present invention, after the to-be-processed data selected by the user is obtained, when the sharing request of the user is received, the to-be-processed data can be processed according to a certain preset rule according to the target type actually required by the user and included in the sharing request, so as to obtain the converted to-be-shared data. Therefore, the individual requirements of the user on the sharing data form and the content can be met. On one hand, by processing the data to be processed selected by the user, the user can screen the interesting and high-quality content and effectively filter the information which is meaningless to the user. On the other hand, the data to be processed is processed according to a certain rule, the data to be processed is converted into the data to be shared of the target type, and the presentation form of the shared data can be flexibly set. Therefore, the individual requirements of the user on the sharing data form and the content can be met. And then promote user experience, promote user's liveness.

The converted content and attributes of the image can be accurately controlled through the description text.

Hereinafter, the steps of the data sharing method in the exemplary embodiment will be described in more detail with reference to the drawings and the embodiments.

And step S1, acquiring the data to be processed selected by the user.

In this exemplary embodiment, the method described above may be executed at a server side or a user side. Specifically, the above step S1 may include the following:

step S11, responding to the data retrieval request of the user, generating a corresponding data list;

step S11, receiving target information selected by the user in the data list, so as to use the target information as the data to be processed.

For example, an interactive interface may be provided on the terminal device, a selection box may be configured for each piece of information displayed in the interactive interface, and when the user clicks a certain piece of interested information or a selection box corresponding to the piece of information, it is determined that the user selects the piece of information as the data to be processed. For example, referring to the interactive interface containing the question-answer theme shown in fig. 4, the question content includes "buy this happy god 10698, ask how many kinds of play? ", the reply message includes a plurality of pieces, and a corresponding selection box may be configured for each piece of the message. The answer information of the current topic includes part of answer information which is not interesting to the user, has low quality and is not highly related to the topic, such as "price give power, packaging give power, perfect", "good comment", "perfect + 1", and the like.

In addition, a search box can be configured for the user on the interactive interface. The user can input one or more target keywords in a search box on the interactive interface, and answer information or comment and evaluation information which is actually focused by the user is retrieved. Specifically, the method may include:

step S111, receiving a data retrieval request of a user, where the data retrieval request includes: at least one target phrase;

step S112, retrieving a target search engine according to the target phrase to generate a data list corresponding to the target phrase.

Specifically, after the user inputs the target phrase, a retrieval request can be generated and sent to a target search engine. For example, a search server based on the ElasticSearch search engine may be provided, and the user retrieves premium content stored in the ElasticSearch search engine.

For example, referring to fig. 5, the user may input keywords "happy and" spelled "and filter the answer and evaluation information corresponding to the current topic according to the keywords. The corresponding search result list may still contain contents with low quality or no interest to the user, and at this time, the user may select the data content actually required by the user by clicking the selection box corresponding to each piece of information or information, as shown in fig. 6.

In an exemplary embodiment of the present disclosure, for the target search engine, the data content in the target search engine may also be sorted in advance according to a certain rule, and the high-quality data is filtered and retained. For example, with respect to the question and answer subject matter content described above, the content of the ratings and question and answer may be interfaced through a Message Queue (MQ). When the evaluation and question-answering content is generated, the content information is sent to a message queue, a search server consumes the content information from the message queue, high-quality content is screened out according to a preset rule, and content such as order information, commodity information or user information, time information and the like is added and written into an ElasticSearch search engine. In the data filtering, filtering can be performed according to conditions such as the content length of each piece of information and whether or not a picture or a video is included.

For example, referring to fig. 11, each piece of rating or question-and-answer information is preliminarily reviewed according to the number of praise or review reply. Then, the specific content contained in each piece of information can be screened. As shown in fig. 11, the length of the current message text may be read first, and it is determined whether the length is greater than a preset threshold, for example, 100 characters, or 100 words. If so, the message is skipped. If so, judging whether the current information contains the picture; if not, the message is skipped. If the video contains the image, judging whether the video is contained or not; if no video is included, the piece of information is skipped. If the video is contained, extracting the evaluation information, the question and answer order information, the corresponding commodity information, the classification information and other data corresponding to the information, and writing the contents into an ElasticSearch search engine. In addition, the content which is manually judged to be poor in the search engine can be deleted in a manual deletion mode.

Step S2, receiving a sharing request of the user, where the sharing request includes: identification of data to be processed and target type.

In this exemplary embodiment, after selecting a plurality of pieces of to-be-processed data, the user may submit a sharing request for the selected to-be-processed data. For example, as shown with reference to FIG. 6, a "generate analysis" control may also be provided on the interactive interface. After the user clicks the 'generation analysis' control, a sharing request can be generated and submitted to the server side.

In addition, when the user submits the sharing request, an interactive interface can be provided to select the target type, namely the format, of the data to be shared for the user. For example, referring to the interactive interface shown in FIG. 7, the user may be presented after clicking on the "generate analyze" control in the interactive interface shown in FIG. 6. For example, the target type may be a video format, an image format, a web page format, or the like.

The server receives a sharing request sent by the terminal device, and the sharing request may include identification information of each piece of data to be processed; and displaying the generated target type of the data to be shared, namely the content display mode of the shared data. Referring to fig. 6, each piece of to-be-processed data is each piece of evaluation data or question and answer data. The corresponding identification information is the content id selected by the user, and may further include written data in a user text data format or a video data format, such as a text message or an audio message, which may be submitted in the interactive interface shown in fig. 7.

Step S3, processing the data content corresponding to the to-be-processed data according to the preset processing rule corresponding to the target type to obtain to-be-shared data.

In this exemplary embodiment, the server may execute the corresponding conversion operation after receiving the sharing request. Specifically, the following steps may be included:

step S31, extracting the data content corresponding to the data to be processed according to the data to be processed identifier;

step S32, writing the data content into the data template corresponding to the target type, and configuring the playing parameters of the data template to generate the data to be shared of the target type.

For example, a task list may be established at the server, and when a sharing request of a user is received, the sharing request is stored in the task list according to the receiving sequence, and the server may sequentially extract tasks corresponding to the sharing request from the task list, and perform a conversion operation according to specific parameters.

For example, when the target type is a video format, the server may first read identification information (id) of each piece of data to be processed, retrieve each piece of identification information from the ElasticSearch engine according to the identification information, and extract corresponding image data and/or video data. And writing the data into a preset video stream template, and configuring the starting time of video display. When a plurality of videos are included, the order of arrangement of the videos may be configured according to the video content.

In addition, when the sharing request also includes user written data, such as a text message or an audio message, the user written data may be written into the video stream template, and a presentation start time of the message data in the video stream may be set. Thereby waiting to share the video. The text data in the message and the data to be processed can be added to the video stream in the form of a bullet screen. For example, refer to the video to be shared in the video format shown in fig. 8.

Or, when the target type is an image format, after acquiring the pictures included in each data to be processed from the ElasticSearch engine, the server may add the pictures into a preset album template, and set the interval time displayed between the pictures, that is, the switching time between the pictures. In addition, if the sharing request further includes a message in a text format, the message can be added to each picture and displayed above the picture. In addition, which pictures are specifically displayed on can be set. Thereby generating the photo album to be shared in the image format. For example, refer to the album to be shared in the image format shown in fig. 9.

After the data to be shared in the video format or the image format is generated, the associated address and the sharing identifier can be configured for the data to be shared, and the data to be shared can be stored in a preset target database. In addition, sharing links can be configured for the data to be shared by the branch associated addresses, so that sharing between other users and other application programs is facilitated.

Based on the above, in the present exemplary embodiment, the method may further include:

step S41, receiving a shared data query request of the user, where the shared data query request includes a shared identifier or a user identifier of the user;

step S42, extracting the corresponding data to be shared from the target database according to the sharing identifier or the user identifier, and configuring a sharing link for the data to be shared.

For example, the user may query, from the server, a conversion progress of the data to be shared made by the user, and extract and forward a sharing link corresponding to the data to be shared.

According to the data sharing method, the user can independently and individually select the comment information and the question-answer information, so that information with low quality or uninteresting to the user is screened out. Through presetting the data template, different selections of sharing videos, photo albums or webpages are provided for users, so that the server side can write information into the corresponding data template by using the data template after receiving a sharing request of the user. Also, user-written information, such as text and audio data, may be written to the data template together. Therefore, personalized shared data generation is realized. The user can screen, combine and discriminate high-quality or interesting contents according to own requirements, redundant meaningless information is filtered, and the quality of shared data is improved. In addition, the user can flexibly set a data sharing mode, such as a webpage or a video, and meanwhile, messages of a sharer, such as messages and voice, can be added during sharing, so that the interest and the quality of the shared data are further improved. Thereby improving the activity of the user.

It is to be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the method according to an exemplary embodiment of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

Further, referring to fig. 12, in an embodiment of the present invention, there is provided a data sharing apparatus 120, including: a to-be-processed data obtaining module 1201, a sharing request responding module 1202, and a to-be-shared data generating module 1203. Wherein:

the to-be-processed data obtaining module 1201 may be configured to obtain the to-be-processed data selected by the user.

The sharing request response module 1202 may be configured to receive a sharing request of the user, where the sharing request includes: identification of data to be processed and target type.

The data to be shared generating module 1203 may be configured to process the data content corresponding to the data to be processed according to a preset processing rule corresponding to the target type to obtain the data to be shared.

In this example embodiment, the to-be-processed data obtaining module 1201 may include: the device comprises a retrieval module and an information selection module. Wherein the content of the first and second substances,

the retrieval module may be configured to generate a corresponding data list in response to a data retrieval request from a user.

The information selection module may be configured to receive target information selected by the user in the data list, so as to use the target information as the data to be processed.

In this example embodiment, the retrieving module may include: request receiving unit, search execution unit. Wherein the content of the first and second substances,

the request receiving unit may be configured to receive a data retrieval request of a user, where the data retrieval request includes: at least one target phrase.

The search execution unit may be configured to retrieve a target search engine according to the target phrase to generate a data list corresponding to the target phrase.

In this example embodiment, the to-be-shared data generating module 1203 may include: a content extracting unit and a content writing unit. Wherein the content of the first and second substances,

the content extracting unit may be configured to extract data content corresponding to the to-be-processed data according to the to-be-processed data identifier.

The content writing unit may be configured to write the data content into a data template corresponding to the target type, and configure a playing parameter of the data template to generate the data to be shared of the target type.

In this example embodiment, the target types include: any one or more of a video format, an image format, and a web page format.

In this example embodiment, the sharing request further includes: writing data by a user; the user writing data includes: text data and/or video data;

the content writing unit may further include: and the user data writing unit is used for writing the user written data into the data template corresponding to the target type.

In this example embodiment, the apparatus further comprises: and a sharing identifier configuration unit.

The sharing identifier configuration unit may be configured to store the data to be shared in a target database, and configure a corresponding unique sharing identifier.

In this example embodiment, the apparatus further comprises: the device comprises a shared data query module and a shared data extraction module. Wherein the content of the first and second substances,

the shared data query module may be configured to receive a shared data query request of the user, where the shared data query request includes a shared identifier or a user identifier of the user.

The shared data extraction module may be configured to extract the corresponding data to be shared from the target database according to the sharing identifier or the user identifier, and configure a sharing link for the data to be shared.

The specific details of each module in the data sharing device are described in detail in the corresponding data sharing method, and therefore are not described herein again.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

In an exemplary embodiment of the present disclosure, there is also provided a computer system capable of implementing the above method.

As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

A computer system 1300 according to this embodiment of the invention is described below with reference to fig. 13. The computer system 1300 shown in FIG. 13 is an example only, and should not be taken as limiting the scope of use and functionality of embodiments of the invention.

As shown in fig. 13, computer system 1300 is in the form of a general purpose computing device. The components of computer system 1300 may include, but are not limited to: the at least one processing unit 1310, the at least one memory unit 1320, and the bus 1330 connecting the various system components including the memory unit 1320 and the processing unit 1310.

Wherein the memory unit stores program code that is executable by the processing unit 1310 to cause the processing unit 1310 to perform steps according to various exemplary embodiments of the present invention as described in the "exemplary methods" section above in this specification. For example, the processing unit 1310 may perform the steps as shown in fig. 1.

The memory unit 1320 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)1301 and/or a cache memory unit 1302, and may further include a read only memory unit (ROM) 1303.

The storage unit 1320 may also include a program/utility 1304 having a set (at least one) of program modules 1305, such program modules 1305 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 1330 may be any bus representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The computer system 1300 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the computer system 1300, and/or with any devices (e.g., router, modem, etc.) that enable the computer system 1300 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 1350. Moreover, computer system 1300 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) through network adapter 1360. As shown, network adapter 1360 communicates with other modules of computer system 1300 via bus 1330. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with computer system 1300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.

Referring to fig. 14, a program product 1400 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.

Claims

1. A method for sharing data, comprising:

acquiring data to be processed selected by a user;

2. The method of claim 1, wherein the obtaining the user-selected data to be processed comprises:

3. The method of claim 2, wherein generating the corresponding data list in response to the data retrieval request of the user comprises:

4. The method according to claim 1, wherein the processing the data content corresponding to the to-be-processed data according to the preset processing rule corresponding to the target type to obtain the corresponding to-be-shared data comprises:

5. The method of claim 4, wherein the target type comprises: any one or more of a video format, an image format, and a web page format.

6. The method of claim 4, wherein the sharing request further comprises: writing data by a user; the user writing data includes: text data and/or video data;

7. The method of claim 4, further comprising:

8. The method of claim 7, further comprising:

9. A data sharing apparatus, comprising:

10. A storage medium having stored thereon a computer program which, when executed by a processor, implements a data sharing method according to any one of claims 1 to 8.

11. A computer system, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the data sharing method of any one of claims 1 to 8 via execution of the executable instructions.