CN115756696A - Information processing method, device, equipment and medium - Google Patents
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- CN115756696A CN115756696A CN202211448278.6A CN202211448278A CN115756696A CN 115756696 A CN115756696 A CN 115756696A CN 202211448278 A CN202211448278 A CN 202211448278A CN 115756696 A CN115756696 A CN 115756696A
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Abstract
The disclosure provides an information processing method, an information processing device, information processing equipment and an information processing medium, and relates to the field of computers, in particular to the technical field of data processing and application programs. The method comprises the following steps: acquiring information to be processed; performing feature identification on information to be processed to obtain a plurality of features, wherein the plurality of features comprise business features and keyword features; acquiring target data corresponding to the keyword features and a display style of the target data based on the service features; and rendering and displaying the target data by using the display style.
Description
Technical Field
The present disclosure relates to the field of computers, and in particular to the field of data processing and application program technologies, and in particular, to an information processing method, an information processing apparatus, an electronic device, a computer-readable storage medium, and a computer program product.
Background
In an enterprise office, a user may face the use of a very large number of internal systems, with each system having its own business management and resource pages. Resource embedding and display requirements between systems often occur during the work of users.
The approaches described in this section are not necessarily approaches that have been previously conceived or pursued. Unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section. Similarly, unless otherwise indicated, the problems mentioned in this section should not be considered as having been acknowledged in any prior art.
Disclosure of Invention
The present disclosure provides an information processing method, an information processing apparatus, an electronic device, a computer-readable storage medium, and a computer program product.
According to an aspect of the present disclosure, there is provided an information processing method including: acquiring information to be processed; performing feature identification on information to be processed to obtain a plurality of features, wherein the plurality of features comprise business features and keyword features; acquiring target data corresponding to the keyword features and a display style of the target data based on the service features; and rendering and displaying the target data by using the display style.
According to another aspect of the present disclosure, there is provided an information processing apparatus including: a first acquisition unit configured to acquire information to be processed; the identification unit is configured to perform feature identification on the information to be processed to obtain a plurality of features, wherein the plurality of features comprise business features and keyword features; the second acquisition unit is configured to acquire target data corresponding to the keyword features and a display style of the target data based on the service features; and the display unit is configured to render and display the target data by using the display style.
According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method described above.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the above method.
According to another aspect of the disclosure, a computer program product is provided, comprising a computer program, wherein the computer program realizes the above method when executed by a processor.
According to one or more embodiments of the disclosure, feature recognition is performed on information to be processed to obtain business features and keyword features, and then target data and a display style corresponding to the keyword features are determined based on the business features, so that the key information (i.e., the target data) behind the information to be processed can be directly presented to a user in a user-friendly manner.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the embodiments and, together with the description, serve to explain the exemplary implementations of the embodiments. The illustrated embodiments are for purposes of illustration only and do not limit the scope of the claims. Throughout the drawings, identical reference numbers designate similar, but not necessarily identical, elements.
FIG. 1 illustrates a schematic diagram of an exemplary system in which various methods described herein may be implemented, according to an embodiment of the present disclosure;
fig. 2 illustrates a flowchart of an information processing method according to an exemplary embodiment of the present disclosure;
fig. 3 shows a flowchart of acquiring target data corresponding to keyword features and a presentation style of the target data according to an exemplary embodiment of the present disclosure;
fig. 4 illustrates a flowchart of an information processing method according to an exemplary embodiment of the present disclosure;
fig. 5 shows a block diagram of the structure of an information processing apparatus according to an exemplary embodiment of the present disclosure; and
FIG. 6 illustrates a block diagram of an exemplary electronic device that can be used to implement embodiments of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In the present disclosure, unless otherwise specified, the use of the terms "first", "second", etc. to describe various elements is not intended to limit the positional relationship, the timing relationship, or the importance relationship of the elements, and such terms are used only to distinguish one element from another. In some examples, a first element and a second element may refer to the same instance of the element, while in some cases they may refer to different instances based on the context of the description.
The terminology used in the description of the various described examples in this disclosure is for the purpose of describing the particular examples only and is not intended to be limiting. Unless the context clearly indicates otherwise, if the number of elements is not specifically limited, the elements may be one or more. Furthermore, the term "and/or" as used in this disclosure is intended to encompass any and all possible combinations of the listed items.
In the related art, the resources can only be transferred and displayed between systems through links, but the links mask important contents in the resources and include lengthy meaningless information, and have poor readability and poor user experience.
In order to solve the above problems, the present disclosure performs feature recognition on information to be processed to obtain business features and keyword features, and determines target data and a display style corresponding to the keyword features based on the business features, so that the key information (i.e., the target data) behind the information to be processed can be directly presented to a user in a user-friendly manner.
Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 illustrates a schematic diagram of an exemplary system 100 in which various methods and apparatus described herein may be implemented in accordance with embodiments of the present disclosure. Referring to fig. 1, the system 100 includes one or more client devices 101, 102, 103, 104, 105, and 106, a server 120, and one or more communication networks 110 coupling the one or more client devices to the server 120. Client devices 101, 102, 103, 104, 105, and 106 may be configured to execute one or more applications.
In an embodiment of the present disclosure, the server 120 may run one or more services or software applications that enable the information processing method to be performed.
In some embodiments, the server 120 may also provide other services or software applications that may include non-virtual environments and virtual environments. In some embodiments, these services may be provided as web-based services or cloud services, for example, provided to users of client devices 101, 102, 103, 104, 105, and/or 106 under a software as a service (SaaS) network.
In the configuration shown in fig. 1, server 120 may include one or more components that implement the functions performed by server 120. These components may include software components, hardware components, or a combination thereof, which may be executed by one or more processors. A user operating a client device 101, 102, 103, 104, 105, and/or 106 may, in turn, utilize one or more client applications to interact with the server 120 to take advantage of the services provided by these components. It should be understood that a variety of different system configurations are possible, which may differ from system 100. Accordingly, fig. 1 is one example of a system for implementing the various methods described herein, and is not intended to be limiting.
The user may use client devices 101, 102, 103, 104, 105, and/or 106 to input information including information to be processed. For example, the client may directly input the corresponding information in the corresponding application or page, or may move the information to be processed from the client to the corresponding position in the application or page by pasting or other means. The client device may provide an interface that enables a user of the client device to interact with the client device. The client device may also output information to the user via the interface, for example, the client may execute one or more services or software applications of the information processing method of the present disclosure to render the presentation target data, or may obtain corresponding target data from a business party (e.g., one or more services or software applications executed on a server) and render the presentation. Although fig. 1 depicts only six client devices, those skilled in the art will appreciate that any number of client devices may be supported by the present disclosure.
Network 110 may be any type of network known to those skilled in the art that may support data communications using any of a variety of available protocols, including but not limited to TCP/IP, SNA, IPX, etc. Merely by way of example, one or more networks 110 may be a Local Area Network (LAN), an ethernet-based network, a token ring, a Wide Area Network (WAN), the internet, a virtual network, a Virtual Private Network (VPN), an intranet, an extranet, a Public Switched Telephone Network (PSTN), an infrared network, a wireless network (e.g., bluetooth, WIFI), and/or any combination of these and/or other networks.
The server 120 may include one or more general purpose computers, special purpose server computers (e.g., PC (personal computer) servers, UNIX servers, mid-end servers), blade servers, mainframe computers, server clusters, or any other suitable arrangement and/or combination. The server 120 may include one or more virtual machines running a virtual operating system, or other computing architecture involving virtualization (e.g., one or more flexible pools of logical storage that may be virtualized to maintain virtual storage for the server). In various embodiments, the server 120 may run one or more services or software applications that provide the functionality described below.
The computing units in server 120 may run one or more operating systems including any of the operating systems described above, as well as any commercially available server operating systems. The server 120 may also run any of a variety of additional server applications and/or middle tier applications, including HTTP servers, FTP servers, CGI servers, JAVA servers, database servers, and the like.
In some implementations, the server 120 may include one or more applications to analyze and consolidate data feeds and/or event updates received from users of the client devices 101, 102, 103, 104, 105, and 106. Server 120 may also include one or more applications to display data feeds and/or real-time events via one or more display devices of client devices 101, 102, 103, 104, 105, and 106.
In some embodiments, the server 120 may be a server of a distributed system, or a server incorporating a blockchain. The server 120 may also be a cloud server, or a smart cloud computing server or a smart cloud host with artificial intelligence technology. The cloud Server is a host product in a cloud computing service system, and is used for solving the defects of high management difficulty and weak service expansibility in the traditional physical host and Virtual Private Server (VPS) service.
The system 100 may also include one or more databases 130. In some embodiments, these databases may be used to store data and other information. For example, one or more of the databases 130 may be used to store information such as audio files and video files. The database 130 may reside in various locations. For example, the database used by the server 120 may be local to the server 120, or may be remote from the server 120 and may communicate with the server 120 via a network-based or dedicated connection. The database 130 may be of different types. In certain embodiments, the database used by the server 120 may be a database, such as a relational database. One or more of these databases may store, update, and retrieve data to and from the databases in response to the commands.
In some embodiments, one or more of the databases 130 may also be used by applications to store application data. The databases used by the application may be different types of databases, such as key-value stores, object stores, or conventional stores supported by a file system.
The system 100 of fig. 1 may be configured and operated in various ways to enable application of the various methods and apparatus described in accordance with this disclosure.
According to an aspect of the present disclosure, an information processing method is provided. As shown in fig. 2, the information processing method includes: step S201, obtaining information to be processed; step S202, performing feature identification on information to be processed to obtain a plurality of features, wherein the plurality of features comprise business features and keyword features; step S203, acquiring target data corresponding to the keyword characteristics and a display style of the target data based on the service characteristics; and step S204, rendering and displaying the target data by using the display style.
Therefore, the characteristic identification is carried out on the information to be processed to obtain the service characteristic and the keyword characteristic, and the target data and the display style corresponding to the keyword characteristic are determined based on the service characteristic, so that the key information (namely the target data) behind the information to be processed can be directly presented to the user in a user-friendly mode.
The information to be processed may be generated, for example, by various types of office systems (e.g., document systems, conversation systems, spreadsheet systems, weekly reporting systems, conferencing systems, etc.). The pending information may be associated with a particular business or resource in these systems (e.g., a document in a document system, a session record in a session system, a form in a forms system, etc.). According to some embodiments, the information to be processed may include at least one of a link, text, and an image. The content of these particular services or resources may be embodied in the form of links, text, and images, or the resources may be directly accessed.
For ease of presentation, the present disclosure will be described with links as an example of information to be processed, but is not intended to limit the carrier of information associated with a service or resource. Besides the above links, texts and images, the information to be processed may be presented in other forms, and is not limited herein.
According to some embodiments, at step S201, the information to be processed may be acquired in response to detecting a user interaction event. The user interaction event and the to-be-processed information may satisfy at least one of: the user interaction event is a pasting event, and the information to be processed is pasting content; the user interaction event is a frame selection event, and the information to be processed is frame selection content; the user interaction event is a session message sending event, and the information to be processed is sent session information; and the user interaction event is a page loading event, and the information to be processed is the content in the page.
Therefore, the identification of the information to be processed is triggered after the user interaction event is detected, so that the user can be helped to conveniently see the target data which is presented in a specific display style and corresponds to the information to be processed, and the use experience of the user is further improved.
In some embodiments, the page in the page loading event may be, for example, a page in the multiple business systems, and may include, for example, a session page, a document page, a form page, a weekly report page, and the like. That is, when a user opens a session page (or other page) of the session system, the method of the present disclosure may be automatically triggered to process information to be processed in the page, so as to present corresponding target data in a specific presentation style. In one exemplary embodiment, the user interaction events (e.g., paste events) described above may be processed using a JavaScript Software Development Kit (SDK).
In step S202, feature recognition may be performed on the information to be processed using a preset rule to obtain a plurality of features. According to some embodiments, the pending information includes a link, the traffic characteristics may include at least one of a link host (host) parameter and a link path (path) parameter, and the keyword characteristics may include a link query (query) parameter. Therefore, by analyzing the link, a plurality of parameters such as host, path, query and the like can be obtained, and the service characteristic and the keyword characteristic corresponding to the information to be processed are obtained.
In some embodiments, the information to be processed may be in other forms than links, and the business features and the keyword features may be obtained in other manners. In an exemplary embodiment, the information to be processed may be text information or image information, the service feature may be a service ID or a corresponding image identifier (e.g., a two-dimensional code), and the keyword feature may be a text keyword or a specific pattern. In addition to the above, the features may be other various unitized knowledge components, and are not limited herein.
According to some embodiments, the feature recognition may be performed based on at least one feature recognition rule pre-registered by at least one business party. That is, different service parties (e.g., the service systems) may register corresponding feature recognition rules in advance to establish feature recognition capability for the to-be-processed information corresponding to the service party, so that the scene party can perform feature recognition on the to-be-processed information corresponding to the service parties (e.g., the to-be-processed information generated by the service party), thereby obtaining corresponding service features and keyword features.
In step S203, target data corresponding to the keyword feature and a display style of the target data may be obtained based on the business feature according to a predetermined rule or mapping relationship. For example, the display styles corresponding to the services may be stored in advance, and the target data obtaining manners of the services may be stored, so that the corresponding target data and the display styles may be obtained quickly after the service features and the keyword features are obtained.
The presentation style of the target data of a particular service may be predetermined by the service party. In some embodiments, the business party may determine the corresponding presentation style according to the display mode (e.g., preset template, typeset, etc.) supported by the scene party.
According to some embodiments, the service characteristics may include a service-party-based identification. As shown in fig. 3, the step S203 of acquiring target data corresponding to the keyword feature and a display style of the target data based on the business feature may include: step S301, obtaining a service party interface of a target service party corresponding to the service party identification; and step S302, calling a service side interface based on the keyword characteristics to obtain target data.
Compared with the method for acquiring the target data from the keyword features, the method for acquiring the target data based on the keyword features calls the service party interface of the corresponding target service party, can acquire abundant and large amount of target data, and accordingly displays more abundant content to users, and can improve the interaction capacity between the scene party and the service party. In addition, the information to be processed can be reduced in such a way that the information only comprises the corresponding calling parameter and the content corresponding to the target data is not required to be included.
According to some embodiments, the business party interface may be pre-registered by the target business party. That is, a plurality of service parties may register a plurality of service party interfaces in advance, and after identifying a service feature (e.g., a service party identifier) corresponding to a certain service party, call the corresponding service party interface to obtain target data. In some embodiments, a service party may have multiple services, and thus multiple interfaces corresponding to the multiple services may be registered, or one service party interface may be invoked and a field used to distinguish between different services.
It can be understood that, after a service party registers a corresponding feature identification rule and an interface for a specific service, the identification processing of the information to be processed of the service party can be implemented on a plurality of other service parties.
According to some embodiments, the target data obtained by the service side interface meets the protocol format supported by the scene side for rendering and displaying the target data. The data displayed on the scene side needs to have a uniform data model, so the service side interface can output the protocol format supported by the scene side, so that the scene side can directly organize the content and render the display based on the data without further processing the data.
According to some embodiments, the scenic side of the target data may include at least one of a conversation system, a documentation system, a forms system, and a weekly report planning system. It is understood that the scenario party may also include other richer systems, applications, services, or pages, for example, which are not described herein in detail.
In some embodiments, the information processing process is executed in an application program corresponding to a specific system, and the system and/or the application program support issuing and rendering presentation of target data in a specific form. For example, the issuing may be performed in a working card channel in the session system. The work card is a specific conversation message, can comprise images, texts, links and other contents, and has rich interactive functions. The target data acquired from the service side interface can be converted into the protocol of the end (session system and/or application program) for issuing. The corresponding target data may be directly displayed on the work card, or the corresponding target data may be displayed in an interface presented after the work card is clicked, which is not limited herein.
In some embodiments, the information processing process may be executed in a web page, and the obtained target data may be rendered into a required form by front-end JavaScript through a front-end WebSocket channel.
According to some embodiments, as shown in fig. 4, the information processing method may further include: and step S405, responding to the detection of the data interaction operation on the rendered and displayed target data, and performing data interaction with a target service party through a service party interface. The operations of steps S401 to S404 in fig. 4 are similar to operations S201 to S204 in fig. 2, and are not repeated herein. Therefore, information interaction between the scene side and the business side can be directly carried out on the target data, the interaction content and the interaction scene of the user are enriched, and the user experience is improved.
According to some embodiments, the data interaction operation may include at least one of a data acquisition operation and a data modification operation. In an exemplary embodiment, a user may click on a work card issued according to the target data, and thereby may invoke a business side interface to obtain richer content for presentation to the user. In an exemplary embodiment, a user can modify the target data, and the scene side can transmit the modified data to the service side through the interface, so that bidirectional data interaction with the service side is realized. It will be appreciated that the user may also operate the presentation carrier of various types of target data, including work cards, in other ways to enable further interaction with the business party.
Therefore, aiming at numerous business systems in an enterprise, the business system is only required to be connected with a universal identification system once, identification rules of characteristics borne by resources (to-be-processed information) of business parties are provided, output is carried out according to a protocol format provided by the identification system, unified identification capability support of various business parties with rich access is provided for a scene party for data display, and the display problem when the scene party is connected with the business parties independently is solved.
Especially, attractive page display and skip access can be realized in a document system, including the display on a form system, a weekly newspaper, a message conversation and other scenes, so that meaningless lengthy links are hidden, the display interference on core content is eliminated, the lengthy links can be displayed into meaningful icons, pictures, cards or text content according to the scene display requirement, the existence of resources on an embedded page is ensured, and the resources are better fused with the page.
According to another aspect of the present disclosure, an information processing apparatus is provided. As shown in fig. 5, the apparatus 500 includes: a first acquisition unit 510 configured to acquire information to be processed; the identifying unit 520 is configured to perform feature identification on the information to be processed to obtain a plurality of features, where the plurality of features include a business feature and a keyword feature; a second obtaining unit 530 configured to obtain target data corresponding to the keyword feature and a display style of the target data based on the service feature; and a presentation unit 540 configured to render and present the target data using the presentation style. It is understood that operations of the units 510 to 540 in the apparatus 500 are similar to those of the steps S201 to S204 in fig. 2, and are not repeated herein.
In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.
According to an embodiment of the present disclosure, there is also provided an electronic device, a readable storage medium, and a computer program product.
Referring to fig. 6, a block diagram of a structure of an electronic device 600, which may be a server or a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described. Electronic device is intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the device 600 comprises a computing unit 601, which may perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606, an output unit 607, a storage unit 608, and a communication unit 609. The input unit 606 may be any type of device capable of inputting information to the device 600, and the input unit 606 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device, and may include, but is not limited to, a mouse, a keyboard, a touch screen, a track pad, a track ball, a joystick, a microphone, and/or a remote control. Output unit 607 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, a video/audio output terminal, a vibrator, and/or a printer. The storage unit 608 may include, but is not limited to, a magnetic disk, an optical disk. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers, and/or chipsets, such as bluetooth (TM) devices, 802.11 devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning network algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 executes the respective methods and processes described above, such as an information processing method. For example, in some embodiments, the information processing method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 608. In some embodiments, part or all of a computer program may be loaded onto and/or installed onto device 600 via ROM 602 and/or communications unit 609. When the computer program is loaded into the RAM603 and executed by the computing unit 601, one or more steps of the information processing method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the information processing method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be performed in parallel, sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
While embodiments or examples of the present disclosure have been described with reference to the accompanying drawings, it is to be understood that the above-described methods, systems and apparatus are merely illustrative embodiments or examples and that the scope of the invention is not to be limited by these embodiments or examples, but only by the claims as issued and their equivalents. Various elements in the embodiments or examples may be omitted or may be replaced with equivalents thereof. Further, the steps may be performed in an order different from that described in the present disclosure. Further, various elements in the embodiments or examples may be combined in various ways. It is important that as technology evolves, many of the elements described herein may be replaced by equivalent elements that appear after the present disclosure.
Claims (15)
1. An information processing method comprising:
acquiring information to be processed;
performing feature identification on the information to be processed to obtain a plurality of features, wherein the plurality of features comprise business features and keyword features;
acquiring target data corresponding to the keyword features and a display style of the target data based on the service features; and
and rendering and displaying the target data by utilizing the display style.
2. The method of claim 1, wherein the business feature comprises, based on the business party identifier, the obtaining target data corresponding to the keyword feature and a presentation style of the target data comprises:
acquiring a service party interface of a target service party corresponding to the service party identifier; and
and calling the service side interface based on the keyword characteristics to obtain the target data.
3. The method of claim 2, wherein the feature recognition is based on at least one feature recognition rule pre-registered by at least one service party, the at least one service party including the target service party.
4. The method of claim 2, wherein the business party interface is pre-registered by the target business party.
5. The method of claim 2, wherein the target data obtained via the business side interface satisfies a protocol format supported by a party rendering a scene exhibiting the target data.
6. The method of claim 5, wherein the scenic side of the target data comprises at least one of a conversation system, a documentation system, a forms system, and a weekly reporting planning system.
7. The method of claim 2, further comprising:
and responding to the detection of data interaction operation on the target data of the rendered display, and performing data interaction with the target business party through the business party interface.
8. The method of claim 7, wherein the data interaction operation comprises at least one of a data acquisition operation and a data modification operation.
9. The method of any of claims 1-8, wherein the information to be processed is obtained in response to detecting a user interaction event, wherein the user interaction event and the information to be processed satisfy at least one of:
the user interaction event is a pasting event, and the information to be processed is pasted content;
the user interaction event is a framing event, and the information to be processed is framing content;
the user interaction event is a session message sending event, and the information to be processed is sent session information; and
the user interaction event is a page loading event, and the information to be processed is content in a page.
10. The method of any of claims 1-8, wherein the information to be processed comprises at least one of a link, text, and an image.
11. The method of any of claims 1-8, wherein the information to be processed comprises a link, the traffic characteristics comprise at least one of a link host (host) parameter and a link path (path) parameter, and the keyword characteristics comprise a link query (query) parameter.
12. An information processing apparatus comprising:
a first acquisition unit configured to acquire information to be processed;
the identification unit is configured to perform feature identification on the information to be processed to obtain a plurality of features, wherein the plurality of features comprise business features and keyword features;
a second obtaining unit, configured to obtain target data corresponding to the keyword feature and a display style of the target data based on the service feature; and
and the display unit is configured to render and display the target data by using the display style.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-11.
14. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-11.
15. A computer program product comprising a computer program, wherein the computer program realizes the method of any one of claims 1-11 when executed by a processor.
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| CN202211448278.6A CN115756696A (en) | 2022-11-18 | 2022-11-18 | Information processing method, device, equipment and medium |
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| CN202211448278.6A CN115756696A (en) | 2022-11-18 | 2022-11-18 | Information processing method, device, equipment and medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024193545A1 (en) * | 2023-03-21 | 2024-09-26 | 北京字跳网络技术有限公司 | Information processing method and apparatus |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2024193545A1 (en) * | 2023-03-21 | 2024-09-26 | 北京字跳网络技术有限公司 | Information processing method and apparatus |
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