Industrial information generation method and device

Abstract

The invention discloses an industry information generation method and device, relates to the technical field of computers, and mainly aims to enable scientific researchers in the industry to timely acquire relatively comprehensive and non-repeated effective information, so as to meet the demand of the scientific researchers in the industry for acquiring industry information. According to the main technical scheme, the method comprises the steps of determining a corresponding writing template according to an information type of a target industry, wherein the information type is used for representing a business scene corresponding to the target industry; extracting corresponding effective content data in a content library on the basis of a content label customized for the writing template, wherein the effective content data is used for representing content materials obtained after the industry data of the target industry is cleaned; and performing intelligent writing processing on the effective content data according to the writing template to obtain information corresponding to the target industry. The method is used for generating industry information.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method and device for generating industry information. Background Art

[0002] Information is information that can bring value to users in a relatively short period of time because users obtain and utilize it in a timely manner. Industry information refers to information about a specific industry. For example, the oil and gas industry has various forms of industry information, such as industry news, new exploration and development technologies, the latest research papers, the latest research reports and other high-value industry information and knowledge documents, which are generally published on oil news websites, industry knowledge websites, and newspapers of major petroleum colleges.

[0003] At present, in the prior art, most researchers in the industry visit different websites in the industry to browse and search in order to obtain information in the industry. However, the above method is not only time-consuming and labor-intensive, but also due to the large amount of invalid information outside the industry and repeated information in the industry, it is difficult for researchers to obtain more comprehensive and non-repetitive effective information in a timely manner, and thus it is difficult to meet the researchers' needs for industry information. Summary of the invention

[0004] In view of the above problems, the present application provides an industry information generation method and device, the main purpose of which is to enable researchers in the industry to obtain more comprehensive and non-repetitive effective information in a timely manner, thereby meeting the needs of researchers in the industry for obtaining industry information.

[0005] In order to solve the above technical problems, this application proposes the following solutions:

[0006] In a first aspect, the present application provides a method for generating industry information, the method comprising:

[0007] Determine a corresponding writing template according to the information type of the target industry, where the information type is used to characterize the business scenario corresponding to the target industry;

[0008] Extracting corresponding valid content data from a content library based on content tags customized for the writing template, wherein the valid content data is used to represent content materials after the industry data of the target industry has been cleaned;

[0009] The effective content data is intelligently written and processed according to the writing template to obtain information corresponding to the target industry.

[0010] In a second aspect, the present application provides an industry information generating device, the device comprising:

[0011] A determination unit, used to determine a corresponding writing template according to an information type of a target industry, wherein the information type is used to characterize a business scenario corresponding to the target industry;

[0012] An extraction unit, configured to extract corresponding valid content data from a content library based on the content tag customized by the writing template obtained by the determination unit, wherein the valid content data is used to represent the content material of the industry data of the target industry after being cleaned;

[0013] The first processing unit is used to perform intelligent writing processing on the valid content data obtained by the extraction unit according to the writing template to obtain news information corresponding to the target industry.

[0014] In order to achieve the above-mentioned purpose, according to the third aspect of the present application, a storage medium is provided, wherein the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the industry information generation method of the above-mentioned first aspect.

[0015] In order to achieve the above-mentioned purpose, according to the fourth aspect of the present application, an electronic device is provided, which includes at least one processor, and at least one memory and a bus connected to the processor; wherein the processor and the memory communicate with each other through the bus; the processor is used to call the program instructions in the memory to execute the industry information generation method of the first aspect mentioned above.

[0016] By means of the above technical scheme, the present application provides an industry information generation method and device. When it is necessary to generate industry information, the corresponding writing template is first determined according to the information type of the target industry. The information type is used to characterize the business scenario corresponding to the target industry. Then, based on the content tag customized for the writing template, the corresponding valid content data is extracted from the content library. The valid content data is used to characterize the content material after the industry data of the target industry has been cleaned. Finally, the valid content data is intelligently written according to the writing template to obtain the information information corresponding to the target industry. Through the technical scheme provided by the present application, it is possible to generate information information that meets the business scenario requirements of the user and is composed of non-repetitive valid content in the industry based on the writing template corresponding to the business scenario and the valid content data customized for the writing template, and using intelligent writing technology, so that researchers in the industry can promptly obtain more comprehensive and non-repetitive valid information, that is, to extract the valid content that meets the business scenario requirements in the target industry, thereby meeting the needs of researchers in the industry to obtain industry information.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0019] Figure 1 A flow chart of a method for generating industry information provided by an embodiment of the present application is shown;

[0020] Figure 2 Another flow chart of a method for generating industry information provided by an embodiment of the present application is shown;

[0021] Figure 3 A block diagram showing the composition of an industry information generating device provided by an embodiment of the present application is shown;

[0022] Figure 4 A block diagram showing another industry information generating device provided by an embodiment of the present application is shown;

[0023] Figure 5 A schematic diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0024] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0025] At present, in the prior art, most researchers in the industry visit different websites in the industry to browse and search in order to obtain information in the industry. However, the above method is not only time-consuming and laborious, but also due to the large amount of invalid information outside the industry and repeated information in the industry, it is difficult for researchers to obtain more comprehensive and non-repetitive effective information in a timely manner, and thus it is difficult to meet the researchers' needs for obtaining industry information. This application is based on a writing template corresponding to a business scenario and the effective content data customized for the writing template, and uses intelligent writing technology to generate information that meets the user's business scenario needs and is composed of non-repetitive effective content in the industry, so that researchers in the industry can obtain more comprehensive and non-repetitive effective information in a timely manner, that is, to extract the effective content that meets the business scenario needs in the target industry, thereby meeting the researchers' needs for obtaining industry information.

[0026] To this end, the present application embodiment provides an industry information generation method, through which researchers in the industry can obtain more comprehensive and non-repetitive effective information in a timely manner, thereby meeting the needs of researchers in the industry for obtaining industry information. The specific execution steps are as follows: Figure 1 As shown, including:

[0027] 101. Determine the corresponding writing template based on the information type of the target industry.

[0028] Among them, the information type is used to characterize the business scenario corresponding to the target industry. It should be noted that in this embodiment, the target industry is used to characterize a specific industry that meets the needs of the user, such as the oil and gas industry, the new energy industry, etc., which is not limited in this embodiment, and the information type includes but is not limited to news, papers, reports, etc., which correspond to different business scenarios, such as research reports, information hotspot browsing, etc. Specifically, a custom interface that can configure business scenario parameters can be set, and the corresponding business scenario is determined by the user's selection, input and other operation events of the business scenario parameters in the custom interface, that is, the information type of the target industry is determined. After the information type is determined, the writing template corresponding to the information type can be matched in the preset template library through the correspondence between the pre-deployed information type and the writing template, and the writing template that successfully matches is determined as the corresponding writing template used this time.

[0029] 102. Extract corresponding valid content data from the content library based on the content tag customized for the writing template.

[0030] Among them, the effective content data is used to represent the content material of the target industry's industry data after being cleaned. It should be noted that the content label is customized according to the writing template, which includes but is not limited to the main summary, author, time, region, etc. Specifically, another custom page can be set or the custom page in step 101 can be directly used to determine the content label corresponding to the writing template. After the content label is determined, a content acquisition request generated by the content label can be sent to the content library based on the interface between the content label and the preset content library, so as to obtain the corresponding effective content data. The effective content data refers to the content material of the target industry's industry data after being cleaned. Specifically, taking the oil and gas industry as the target industry, the industry data can be pre-crawled from the oil and gas industry-related websites. The industry data is collected from various websites, including oil news websites, industry knowledge websites, and newspapers of major oil colleges and universities, and then the industry data is cleaned. The cleaning process includes deleting the industry data of non-target industries and deduplicating the industry data of target industries, so as to obtain valid oil and gas industry data. In addition, the valid industry data can be stored one by one in the preset content library through content tags generated by specific content, so as to facilitate subsequent data extraction based on user-defined content tags to obtain the required content materials, that is, valid content data. What needs to be emphasized is that the valid industry data of the content library is automatically updated according to the preset cycle, so as to ensure the content validity and availability of the valid industry data.

[0031] 103. Perform intelligent writing processing on valid content data according to the writing template to obtain information corresponding to the target industry.

[0032] It should be noted that in this step, since the writing template and the effective content data are both determined, the effective content data can be edited and processed according to the writing template based on the intelligent writing technology, so as to generate information that meets the user's business scenario needs and is composed of non-repetitive effective content in the industry. The intelligent writing technology is achieved through an intelligent writing model, which refers to a series of capabilities that use artificial intelligence technology to help humans improve writing work efficiency and output quality. It can usually generate corresponding text output based on user input (such as titles, key points, keywords, etc.). Specifically, the mapping relationship between the writing template and the intelligent writing model can be pre-constructed, and the intelligent writing model used this time can be determined based on the mapping relationship, so as to use the intelligent writing model to automatically output information corresponding to the target industry.

[0033] For example, assuming that the business scenario is browsing hot information, the corresponding information type is news. Taking time as an example, when the user's demand is today's hot information in the target industry, today can be selected, so as to obtain today's hot information in the news category and the industry's hot information content that occurred today, which is in line with human reading habits through intelligent writing technology.

[0034] For example, assuming that the business scenario is research reporting, the corresponding information type is report type. Taking the author as an example, when the user needs a personal research report on the target industry, the author's name can be selected to obtain a personal research report of the report type and the information content published by the author in the past through the intelligent writing technology. When the user needs a team research report on the target industry, all the author names of the team can be selected to obtain a team research report of the report type and the information content published by all members of the team in the past through the intelligent writing technology.

[0035] Based on the above Figure 1 It can be seen from the implementation method that the industry information generation method provided by this application is to first determine the corresponding writing template according to the information type of the target industry when it is necessary to generate industry information. The information type is used to characterize the business scenario corresponding to the target industry, and then extract the corresponding valid content data from the content library based on the content tag customized for the writing template. Finally, the valid content data is intelligently written and processed according to the writing template to obtain the information information corresponding to the target industry. Through the technical solution provided by this application, it is possible to generate information information that meets the user's business scenario needs and is composed of non-repetitive valid content in the industry based on the writing template corresponding to the business scenario and the valid content data customized for the writing template, and using intelligent writing technology, so that scientific researchers in the industry can promptly obtain more comprehensive and non-repetitive valid information, that is, to extract the valid content that meets the business scenario needs in the target industry, thereby meeting the needs of scientific researchers in the industry to obtain industry information.

[0036] Further, the preferred embodiment of the present application is in the above Figure 1 Based on this, a detailed description of the process of generating industry information is given. The specific steps are as follows: Figure 2 As shown, including:

[0037] 201. Collect industry data corresponding to the target industry.

[0038] It should be noted that in this step, since the target industry is determined, industry data can be collected from websites related to the target industry. Taking the oil and gas industry as the target industry, for example, industry data can be crawled in advance from websites related to the oil and gas industry, including but not limited to oil news websites, industry knowledge websites, and school newspapers of major petroleum colleges and universities. The specific collection method is not limited in this embodiment, that is, it is necessary to ensure that relatively comprehensive collection can be achieved.

[0039] 202. Specific content is extracted from each industry data, and each industry data is cleaned based on the specific content to obtain valid industry data corresponding to the target industry.

[0040] It should be noted that, in the present embodiment, specific content includes but is not limited to key points, author, time, region, picture, video, text, attention and other information, that is, specific content is extracted for each industry data and compared based on the specific content. Specifically, cleaning rules can be set and invalid content can be removed according to the cleaning rules. The invalid content includes but is not limited to non-target industry data, expired data of the target industry, and duplicate data after similarity comparison, that is, similar data or identical data is removed, so as to obtain valid industry data corresponding to the target industry.

[0041] 203. Generate content tags based on specific content corresponding to valid industry data.

[0042] It should be noted that in this embodiment, since the specific content includes but is not limited to key points, author, time, region, pictures, videos, text, attention and other information, in order to facilitate subsequent storage and indexing, content tags can be generated based on the specific content corresponding to the valid industry data.

[0043] 204. Store valid industry data in a preset content library based on content tags.

[0044] It should be noted that in this step, the content library is a pre-built database dedicated to storing valid industry data of the target industry, and also has a proprietary interface so that valid industry data corresponding to the content tag can be directly extracted through the interface.

[0045] 205. Determine the corresponding writing template based on the information type of the target industry.

[0046] This step is combined with the description of step 101 in the above method, and the same content is not repeated here. It should be noted that in this step, the specific determination process for the writing template is: obtain the business scenario parameters customized for the target industry; determine the information type corresponding to the target industry according to the business scenario parameters; match the writing template corresponding to the information type in the preset template library according to the information type. Among them, the business scenario parameters can be determined according to the actual business needs of the user, and a custom page can be set. The custom page can deploy multiple business scenario parameters for the user to select, and an input box can also be set to automatically identify and match the corresponding business scenario parameters according to the text entered by the user. This embodiment does not limit this, and the information type corresponding to the target industry can be determined by determining the business scenario parameters. Since the writing template is pre-selected and made according to the business scenario matching, and stored in the preset template library, the two have a one-to-one correspondence, and the writing template to be used can be determined through this correspondence.

[0047] 206. Extract corresponding valid content data from the content library based on the content tag customized for the writing template.

[0048] This step is combined with the description of step 102 in the above method, and the same content is not repeated here. It should be noted that in this step, the specific process of extracting the corresponding valid content data based on the content tag is: obtaining the content tag customized for the writing template, the content tag at least includes the subject summary, author, time and region; extracting the valid industry data in the content library based on the content tag to obtain the target content material; using the target content material as the valid content data corresponding to the writing template. Among them, another custom interface can be set for the configuration of the content tag, or the custom interface of the business scenario parameter in step 205 can be shared, and the content tag at least includes the subject summary, author, time and region, that is, it includes multiple indicator items, therefore, in the actual configuration process, it can be partially selected or all selected, and this embodiment does not limit this, and after determining the content tag, the valid industry data corresponding to the content tag can be extracted based on the preset interface, and the extracted valid industry data is the target content material, and the target content material is used as the valid content data.

[0049] 207. Perform intelligent writing processing on valid content data according to the writing template to obtain information corresponding to the target industry.

[0050] This step is combined with the description of step 103 in the above method, and the same content is not repeated here. It should be noted that in this step, the specific process of intelligent writing processing is: determine the intelligent writing model corresponding to the writing template based on the mapping relationship, and the mapping relationship is used to represent the corresponding relationship between the writing template and the writing form of the intelligent writing model; use the intelligent writing model to edit and process the effective content data according to the writing template to obtain information information. Among them, the mapping relationship is pre-constructed by the writing template and the intelligent writing model based on the writing form. Since the input data corresponding to different intelligent writing models are different, for example, keywords are used as input, key points are used as input, and articles are used as input, and different input methods represent different writing forms, so as to determine the intelligent writing model to be used. It should be emphasized that the mapping relationship is not one-to-one correspondence. In actual applications, there are multiple writing templates corresponding to one intelligent writing model. The specific process of using the intelligent writing model to edit and process the effective content data according to the writing template to obtain information information is: determine the writing logic corresponding to the intelligent writing model and the writing specification corresponding to the writing template; edit and process the effective content data based on the writing logic and writing specification to obtain information information. Among them, the writing logic includes but is not limited to the general-specific-general structure, parallel structure, progressive structure and SCQA structure, while the writing standards include but are not limited to font size, number of paragraphs, etc. By editing the effective content data through writing logic and writing standards, it is possible to generate information that meets the user's business scenario needs and is composed of non-repetitive effective content in the industry, making the information more in line with reading habits, thereby facilitating researchers in the industry to quickly obtain industry information.

[0051] Further, in order to facilitate the subsequent upgrade and correction of the intelligent writing technology or the analysis of the readability of the information information, specifically, when the information information contains a trace of modification, the corresponding modification confirmation prompt is triggered, and the writing feedback information is generated based on the user's operation event in the modification confirmation prompt. The modification trace is used to represent the user's operation of actively modifying and saving the content contained in the information information based on readability. Among them, the modification confirmation prompt requires the user to perform modification and save operations at the same time to trigger, and the modification confirmation prompt not only includes the option of whether to confirm the modification, but also includes the modification reason option or input box corresponding to each modification trace. The operation event in the modification confirmation prompt includes whether to confirm the modification and the modification reason option or input box corresponding to each modification trace. After the user's operation is completed, the writing feedback information can be generated accordingly. The writing feedback information is used to feedback the readability of the intelligent writing technology. Specifically, the writing feedback information can be stored in the same directory, and can also be fed back to the intelligent writing model in real time, so as to facilitate the continuous modification and upgrading of the intelligent writing technology and the analysis of the readability of the information information, thereby ensuring the availability and correctness of the subsequently generated information information.

[0052] Furthermore, as a response to the above Figure 1-2 The implementation of the method embodiment shown in the figure, the embodiment of the present application provides an industry information generation device, which is used to enable researchers in the industry to obtain more comprehensive and non-repetitive effective information in a timely manner, thereby meeting the needs of researchers in the industry for obtaining industry information. The embodiment of the device corresponds to the aforementioned method embodiment. For ease of reading, this embodiment will no longer repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can correspond to all the contents of the aforementioned method embodiment. Specifically, Figure 3 As shown, the device comprises:

[0053] A determination unit 31, configured to determine a corresponding writing template according to an information type of a target industry, wherein the information type is used to characterize a business scenario corresponding to the target industry;

[0054] An extraction unit 32 is used to extract corresponding valid content data from a content library based on the content tag customized for the writing template obtained by the determination unit 31, wherein the valid content data is used to represent the content material of the industry data of the target industry after being cleaned;

[0055] The first processing unit 33 is used to perform intelligent writing processing on the effective content data obtained by the extraction unit 32 according to the writing template to obtain news information corresponding to the target industry.

[0056] Further, such as Figure 4 Said device further comprises:

[0057] A collection unit 34, used for collecting industry data corresponding to the target industry before the determination unit 31;

[0058] The second processing unit 35 is used to extract specific content from each of the industry data obtained by the acquisition unit 34, and clean each of the industry data based on the specific content to obtain valid industry data corresponding to the target industry;

[0059] A generating unit 36, configured to generate the content tag according to the specific content corresponding to the valid industry data obtained by the second processing unit 35;

[0060] The storage unit 37 is used to store the valid industry data in the preset content library based on the content tag obtained by the generation unit 36.

[0061] Further, such as Figure 4 The extraction unit 32 comprises:

[0062] A first acquisition module 321 is used to acquire the content tag customized for the writing template, wherein the content tag at least includes a subject summary, an author, a time, and a region;

[0063] An extraction module 322, configured to extract the valid industry data in the content library based on the content tag obtained by the first acquisition module 321, so as to obtain target content material;

[0064] The first determination module 323 is used to use the target content material obtained by the extraction module 322 as the effective content data corresponding to the writing template.

[0065] Further, such as Figure 4 The determining unit 31 includes:

[0066] The second acquisition module 311 is used to acquire business scenario parameters customized for the target industry;

[0067] A second determination module 312, configured to determine the information type corresponding to the target industry according to the business scenario parameters obtained by the second acquisition module 311;

[0068] The matching module 313 is used to match the writing template corresponding to the information type in a preset template library according to the information type obtained by the second determining module 312.

[0069] Further, such as Figure 4 The first processing unit 33 includes:

[0070] A third determination module 331 is used to determine the intelligent writing model corresponding to the writing template based on a mapping relationship, wherein the mapping relationship is used to represent the corresponding relationship between the writing template and the writing form of the intelligent writing model;

[0071] The processing module 332 is used to use the intelligent writing model obtained by the third determination module 331 to edit the effective content data according to the writing template to obtain the news information.

[0072] Further, such as Figure 4 The processing module 332 is specifically used for:

[0073] Determine the writing logic corresponding to the intelligent writing model and the writing specification corresponding to the writing template;

[0074] The effective content data is edited based on the writing logic and the writing specification to obtain the news information.

[0075] Further, such as Figure 4 Said device further comprises:

[0076] The third processing unit 38 is used to trigger a modification confirmation prompt corresponding to the information information when it is detected that there are modification traces in the content contained in the information information, and generate writing feedback information based on the user's operation events in the modification confirmation prompt. The modification traces are used to represent the user's active modification and saving operations on the content contained in the information information based on readability.

[0077] Furthermore, an embodiment of the present application also provides an electronic device, the electronic device includes a processor and a memory, the above-mentioned determination unit 31, extraction unit 32 and first processing unit 33 are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to implement corresponding functions. The processor includes a kernel, and the kernel calls the corresponding program unit from the memory.

[0078] One or more kernels can be set. By adjusting the kernel parameters, researchers in the industry can obtain more comprehensive and non-repetitive effective information in a timely manner, thereby meeting their needs for obtaining industry information.

[0079] An embodiment of the present application provides a storage medium on which a program is stored, and when the program is executed by a processor, the industry information generating method is implemented.

[0080] An embodiment of the present application provides a processor, which is used to run a program, wherein the industry information generating method is executed when the program is running.

[0081] The present application embodiment provides a device 40, such as Figure 5 As shown, the device 40 includes at least one processor 401, at least one memory 402 and a bus 403 connected to the processor 401; the processor 401 and the memory 402 communicate with each other through the bus 403; the processor 401 is used to call the program instructions in the memory 402 to execute the above-mentioned industry information generation method. The device in this article can be a server, PC, PAD, mobile phone, etc.

[0082] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that is initialized with the following method steps: determining a corresponding writing template based on an information type of a target industry, wherein the information type is used to characterize a business scenario corresponding to the target industry; extracting corresponding valid content data from a content library based on a content tag customized for the writing template, wherein the valid content data is used to characterize content materials after the industry data of the target industry has been cleaned; and performing intelligent writing processing on the valid content data according to the writing template to obtain information corresponding to the target industry.

[0083] Before determining the corresponding writing template according to the information type of the target industry, the method also includes: collecting industry data corresponding to the target industry; extracting specific content from each of the industry data, and cleaning each of the industry data based on the specific content to obtain valid industry data corresponding to the target industry; generating the content label according to the specific content corresponding to the valid industry data; and storing the valid industry data in the preset content library based on the content label.

[0084] The obtaining of corresponding valid content data in the content library based on the content tag customized for the writing template includes: obtaining the content tag customized for the writing template, the content tag including at least a subject summary, an author, a time, and a region; extracting the valid industry data in the content library based on the content tag to obtain target content material; and using the target content material as the valid content data corresponding to the writing template.

[0085] Determining the corresponding writing template according to the information type of the target industry includes: obtaining business scenario parameters customized for the target industry; determining the information type corresponding to the target industry according to the business scenario parameters; and matching the writing template corresponding to the information type in a preset template library according to the information type.

[0086] The intelligent writing processing of the valid content data according to the writing template to obtain the information corresponding to the target industry includes: determining the intelligent writing model corresponding to the writing template based on a mapping relationship, the mapping relationship being used to characterize the corresponding relationship between the writing template and the writing form of the intelligent writing model; and editing the valid content data according to the writing template using the intelligent writing model to obtain the information.

[0087] The method of using the intelligent writing model to edit the valid content data according to the writing template to obtain the information includes: determining the writing logic corresponding to the intelligent writing model and the writing specification corresponding to the writing template; and editing the valid content data based on the writing logic and the writing specification to obtain the information.

[0088] The method also includes: when it is detected that there are modification traces in the content contained in the information information, triggering a modification confirmation prompt corresponding to the information information, and generating writing feedback information based on the user's operation event in the modification confirmation prompt, the modification traces are used to represent the user's active modification and saving of the content contained in the information information based on readability.

[0089] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0090] In a typical configuration, the device includes one or more processors (CPU), memory and bus. The device may also include input / output interface, network interface and the like.

[0091] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.

[0092] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0093] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0094] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0095] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for generating industry information, characterized in that: The method comprises: Determine a corresponding writing template according to the information type of the target industry, where the information type is used to characterize the business scenario corresponding to the target industry; Extracting corresponding valid content data from a content library based on content tags customized for the writing template, wherein the valid content data is used to represent content materials after the industry data of the target industry has been cleaned; The effective content data is intelligently written and processed according to the writing template to obtain information corresponding to the target industry.

2. The method according to claim 1, characterized in that Before determining the corresponding writing template according to the information type of the target industry, the method further includes: Collect industry data corresponding to the target industry; Extracting specific content from each of the industry data, and cleaning each of the industry data based on the specific content to obtain valid industry data corresponding to the target industry; Generate the content tag according to the specific content corresponding to the valid industry data; The valid industry data is stored in the preset content library based on the content tag.

3. The method according to claim 1, characterized in that The acquiring corresponding valid content data in the content library based on the content tag customized for the writing template includes: Obtaining the content tag customized for the writing template, wherein the content tag at least includes a subject summary, an author, a time, and a region; Extracting the valid industry data in the content library based on the content tag to obtain target content material; The target content material is used as the effective content data corresponding to the writing template.

4. The method according to claim 1, characterized in that: The corresponding writing template is determined according to the information type of the target industry, including: Obtain business scenario parameters customized for the target industry; Determine the information type corresponding to the target industry according to the business scenario parameters; The writing template corresponding to the information type is matched in a preset template library according to the information type.

5. The method according to claim 1, characterized in that The performing intelligent writing processing on the effective content data according to the writing template to obtain information corresponding to the target industry includes: Determine an intelligent writing model corresponding to the writing template based on a mapping relationship, wherein the mapping relationship is used to represent a corresponding relationship between the writing template and the writing form of the intelligent writing model; The effective content data is edited and processed according to the writing template using the intelligent writing model to obtain the news information.

6. The method according to claim 5, characterized in that The using the intelligent writing model to edit the effective content data according to the writing template to obtain the news information includes: Determine the writing logic corresponding to the intelligent writing model and the writing specification corresponding to the writing template; The effective content data is edited based on the writing logic and the writing specification to obtain the news information.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: When modification traces are detected in the content contained in the information information, a modification confirmation prompt corresponding to the information information is triggered, and writing feedback information is generated based on the user's operation events in the modification confirmation prompt. The modification traces are used to represent the user's active modification and saving of the content contained in the information information based on readability.

8. An industry information generating device, characterized in that: The device comprises: A determination unit, used to determine a corresponding writing template according to an information type of a target industry, wherein the information type is used to characterize a business scenario corresponding to the target industry; An extraction unit, configured to extract corresponding valid content data from a content library based on the content tag customized by the writing template obtained by the determination unit, wherein the valid content data is used to represent the content material of the industry data of the target industry after being cleaned; The first processing unit is used to perform intelligent writing processing on the valid content data obtained by the extraction unit according to the writing template to obtain news information corresponding to the target industry.

9. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the industry information generation method as described in any one of claims 1-7.

10. An electronic device, comprising at least one processor, and at least one memory and bus connected to the processor; wherein: The processor and the memory communicate with each other via the bus; The processor is used to call the program instructions in the memory to execute the industry information generation method according to any one of claims 1 to 7.

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