Rich media book proposal planning management system, module and method

Abstract

The invention relates to the technical field of electronic book making, in particular to a rich media book proposal planning management system, module and method, and the system comprises a proposal generation module which is used for obtaining to-be-proposal information, the to-be-proposal information comprises a proposal text, and the proposal generation module obtains a corresponding template type according to the proposal text, the template type comprises a plurality of groups of format positions, and typesetting the to-be-proposal information according to the format positions to generate proposal data; the data display module is used for marking the proposal data according to time to obtain marked data, and the data display module is used for displaying a plurality of groups of marked data in a list form. According to the invention, display is carried out through the data display module, so that auditing of proposal data by auditing personnel is improved, the auditing time of rich media books is shortened, the production efficiency of the rich media books is improved, and the auditing efficiency of the proposal data is improved.

Description

Technical Field

[0001] This application relates to the technical field of e - book production, and particularly to a rich - media book proposal planning and management system, module, and method. Background Art

[0002] Traditional reading mainly relies on paper books. After determining the content of a paper book, it is finalized for production and distribution. However, paper books are inconvenient to carry and have less information. Paper books require a large amount of paper in production and the production process is long. Therefore, with the in - depth development of the online world, rich - media books, that is, e - books and audiobooks with animations, sounds, videos, or interactivity, are becoming more and more popular because of their convenience and low cost.

[0003] Current e - books and audiobooks are produced after the release of paper books and are typeset using a fixed layout design, mainly with text descriptions. When conducting the review of e - book production, it is only necessary to determine the content of the PDF.

[0004] However, for books in some professional industries, there are various forms. For example, there are tables, pictures, and sounds. When reviewing e - books and audiobooks, reviewers need to comprehensively consider their content structure, judgment basis, and management mechanism, and then decide whether to produce e - books and audiobooks, which will lead to an extension of the production time of e - books and audiobooks. Summary of the Invention

[0005] In order to reduce the production time of e - books and audiobooks and improve the review efficiency of e - books and audiobooks, this application provides a rich - media book proposal planning and management system, module, and method.

[0006] In a first aspect, this application provides a rich - media book proposal planning and management system, adopting the following technical solution: A rich - media book proposal planning and management system includes: A proposal generation module, which is used to obtain information to be proposed. The information to be proposed includes a proposal text. The proposal generation module obtains a corresponding template type according to the proposal text. The template type includes several groups of format positions, and arranges the information to be proposed according to the format positions to generate proposal data; A data display module, which is network - connected to the proposal generation module to receive and store the proposal data. The data display module is used to mark the proposal data according to time to obtain marked data, and the data display module is used to display several groups of the marked data in a list form.

[0007] By adopting the above technical solution, the proposal generation module obtains multiple groups of information to be proposed, obtains the corresponding matching template types according to the proposal text, arranges the information to be proposed according to the template types, and displays it through the data display module, reducing the review time of rich media books and improving the production efficiency of rich media books; the data display module displays several groups of marked data in a list form, facilitating the review by reviewers.

[0008] In one embodiment, the system further includes a market prediction module, which is network-connected to the proposal generation module and network-connected to the data display module. The market prediction module is used to obtain the proposal text sent by the proposal generation module, obtain the corresponding level recommendation and sales estimate in a preset database according to the proposal text, and send the level recommendation and the sales estimate to the data display module, and the data display module is used to display the level recommendation and the sales estimate in a display window.

[0009] By adopting the above technical solution, the market prediction module obtains the corresponding level recommendation and sales estimate, and the data display module displays the level recommendation and sales estimate in the window, thereby facilitating the review by reviewers and improving the review efficiency of proposal data.

[0010] In one embodiment, the data display module includes a proposal display unit, a data storage unit, and a proposal decision-making unit. The data storage unit is network-connected to the proposal generation module, the proposal decision-making unit is network-connected to the data storage unit, and the proposal decision-making unit is network-connected to the proposal display unit; The data storage unit is used to receive the proposal data sent by the proposal generation module and store the proposal data, and the data storage unit is also used to store the proposal data in chronological order to generate the marked data; The proposal display unit is used to receive the marked data sent by the data storage unit and obtain the review data arranged in the review order according to the marked data; The proposal decision-making unit is used to receive the review data and review the review data in the review order.

[0011] In one embodiment, the data display module further includes a text guidance unit, which is network-connected to the proposal decision-making unit to receive the review data, and the text guidance unit is used to modify the text of the review data.

[0012] By adopting the above technical solution, a text guidance window is directly added to the review system, improving the review of the review data, and thus improving the review efficiency of the proposal text.

[0013] In a second aspect, the present application provides a rich media book proposal planning management proposal generation module, which adopts the following technical solutions: A rich media book proposal planning management proposal generation module, wherein the information to be proposed further includes proposed images, proposed audio, and proposed videos, and the format positions include image position information, audio position information, and video position information. The proposal generation module includes a format generation unit and a format correction unit; The format generation unit obtains the corresponding template type according to the proposal text. The template type includes several groups of format positions, and matches the proposed image with the image position information, the proposed audio with the audio position information, and the proposed video with the video position information to generate proposal data; The format correction unit is used to obtain user habits, where the user habits characterize the reading state of the user, obtain keywords according to the user habits, and update the proposal data based on the keywords and the information to be proposed.

[0014] By adopting the above technical solutions, the reading state of the user is obtained through the user habits, and then the proposal data is adjusted for different users, which is convenient for realizing the precise management of the proposal text and improving the proposal quality of the system.

[0015] In a third aspect, the present application provides a rich media book proposal planning management market prediction module, which adopts the following technical solutions: A rich media book proposal planning management market prediction module, the market prediction module includes a level recommendation unit, a sales estimation unit, and a data update unit. The level recommendation unit is network-connected to the data display module, the sales estimation unit is network-connected to the data display module, the data update unit is network-connected to the level recommendation unit and is also network-connected to the sales estimation unit; The data update unit is used to regularly obtain market sales information, obtain the actual sales quantity according to the market sales information, and update the preset database based on the actual sales quantity. The preset database stores several groups of matching texts corresponding to the proposal text and level values corresponding to the matching texts. The level value characterizes the popularity level of the matching text, and the actual sales quantity characterizes the actual sales data corresponding to the matching text; The level recommendation unit is used to regularly obtain the corresponding matching text in the updated preset database according to the proposal text, use the level value corresponding to the matching text as the level recommendation corresponding to the proposal text, and send the level recommendation to the data display module; The sales estimation unit is used to obtain the offline sales quantity and receive the matching text obtained by the level recommendation unit, and obtain a sales estimate based on the offline sales quantity and the actual sales data corresponding to the matching text, and send the sales estimate to the data display module.

[0016] By adopting the above technical solution, the level recommendation obtained by the level recommendation unit and the sales estimate obtained by the sales estimation unit can facilitate the reviewers to intuitively guide the publishing strategy and resource allocation for the proposal text, and improve the management efficiency of the proposal data.

[0017] In a fourth aspect, the present application provides a rich media book proposal planning and management method, adopting the following technical solution: A rich media book proposal planning and management method, used for a proposal generation module, includes the following steps: Obtain the information to be proposed and the format positions, where the information to be proposed includes a proposal text, a proposal image, a proposal audio, and a proposal video, and the format positions include text position information, image position information, audio position information, and video position information; Obtain the corresponding template type according to the proposal text, and match the proposal text with the text position information, the proposal image with the image position information, the proposal audio with the audio position information, and the proposal video with the video position information to generate proposal data; Obtain the user habit, where the user habit represents the reading state of the user; Obtain keywords according to the user habit, and update the proposal data based on the keywords and the information to be proposed.

[0018] In one of the embodiments, the updating of the proposal data based on the keywords and the information to be proposed includes the following steps: Obtain the viewing type based on the keywords, screen the viewing type in the format positions, and determine whether corresponding information is screened; If the corresponding information is screened, mark the position corresponding to the corresponding information to obtain marking information; Update the proposal data according to the marking information.

[0019] By adopting the above technical solution, updating the format positions through the keywords of the user habit can facilitate user operation, thereby improving the user's use of rich media books and further improving the overall sales of rich media books.

[0020] In a fifth aspect, the present application provides a rich media book proposal planning and management method, adopting the following technical solution: A rich media book proposal planning and management method for the market prediction module, comprising the following steps: Regularly obtain market sales information, and based on the market sales information, obtain the actual sales quantity. Update a preset database based on the actual sales quantity. The preset database stores several groups of matching texts corresponding to the proposal text and grade values corresponding to the matching texts. The grade values represent the popularity grades of the matching texts, and the actual sales quantity represents the actual sales data corresponding to the matching texts; Regularly obtain the corresponding matching text in the updated preset database according to the proposal text, use the grade value corresponding to the matching text as the grade recommendation corresponding to the proposal text, and send the grade recommendation to the data display module; Obtain the offline sales quantity and the matching text obtained by the receiving grade recommendation unit, and obtain a sales forecast based on the offline sales quantity and the actual sales data corresponding to the matching text.

[0021] In one embodiment, the offline sales quantity includes a first offline quantity and a second offline quantity. The first offline quantity represents the offline sales quantity corresponding to the proposal text, and the second offline quantity represents the offline sales quantity corresponding to the matching text. The obtaining of the sales forecast based on the offline sales quantity and the actual sales data corresponding to the matching text includes the following steps: Obtain a matching index in the preset database according to the proposal text and the matching text. The matching index represents the matching grade between the proposal text and the matching text; Obtain the sales forecast based on the first offline quantity, the matching index, and the actual sales quantity.

[0022] By adopting the above technical solutions, a matching index is obtained in the preset database according to the proposal text and the matching text, and a sales forecast is obtained based on the matching index and the actual sales index. Furthermore, the sales forecast can be accurately obtained, which is convenient for the reviewers to quickly conduct a review according to the sales forecast, intuitively guide the publishing strategy and resource allocation for the proposal text effectively, and improve the management efficiency of the proposal data.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. The proposal generation module obtains multiple groups of information to be proposed, acquires the corresponding matching template types based on the proposal text, arranges the information to be proposed according to the template types, and displays it through the data display module, reducing the review time of rich media books and improving the production efficiency of rich media books; the data display module displays several groups of marked data in a list form for easy viewing by reviewers; customized proposal templates and presentation styles are adopted, supporting the integration of multimedia content, so the proposal quality is greatly improved, the review process is accelerated, and the user experience is enhanced; 2. The market prediction module obtains the corresponding level recommendations and sales forecasts, and displays the level recommendations and sales forecasts through the data display module in the window, which is convenient for reviewers to review, thereby improving the review efficiency of proposal data. The market prediction module based on big data is utilized. By analyzing information such as the historical sales data, market trends, and user preferences of e-books and audiobooks, it can accurately predict the market potential, guide the publishing house to make more targeted investment decisions, and reduce financial risks; 3. The proposal display unit is used to display the proposal data on the display screen for reviewers to review. The data storage unit is used to store all the proposal data and send it to the proposal decision unit in the order corresponding to the level recommendations of the proposal data, so that reviewers can review all the proposal data based on the proposal decision unit, improving the review efficiency of the proposal data. Through data visualization tools, decision-makers can more intuitively understand the market data and prediction results, so the speed and accuracy of decision-making are improved, effectively promoting the rational allocation of resources; 4. The reading status of the user is obtained through the user's habits, and then the proposal data is adjusted for different users, facilitating the precise management of the proposal text and improving the proposal quality of the system; Description of the Drawings Figure 1 It is a block diagram of a rich media book proposal planning and management system provided by an embodiment of the present application; Figure 2 It is a method block diagram applied to the proposal generation module provided by an embodiment of the present application; Figure 3 It is a structure diagram of the market prediction module provided by this embodiment; Figure 4 It is a method block diagram applied to the market prediction module provided by an embodiment of the present application.

[0024] Description of the reference numerals: 10, proposal generation module; 11, format generation unit; 12, format correction unit; 20, data display module; 21, proposal display unit; 22, data storage unit; 23, proposal decision unit; 24, text guidance unit; 30, market prediction module; 31, level recommendation unit; 32, sales forecast unit; 33, data update unit. Detailed implementation manners

[0025] To more clearly understand the purpose, technical solution and advantages of the present application, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. However, those of ordinary skill in the art should understand that the present application can be implemented without these details. In some cases, to avoid unnecessary description from making aspects of the present application obscure, well-known methods, processes, systems, components and / or circuits that have been described at a higher level will not be elaborated too much. For those of ordinary skill in the art, it is obvious that various changes can be made to the disclosed embodiments of the present application, and without departing from the principles and scope of the present application, the general principles defined in the present application can be applied to other embodiments and application scenarios. Therefore, the present application is not limited to the illustrated embodiments, but conforms to the broadest scope consistent with the scope claimed in the present application.

[0026] For software implementation, the technologies described herein can be implemented using modules (e.g., programs, functions, etc.) that perform the functions described herein. The software code can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or external to the processor. In the latter case, the memory unit can be communicatively coupled to the processor in various ways known in the art.

[0027] In the description of the present application, the meaning of "several" is one or more, the meaning of "multiple" is more than two, "greater than", "less than", "exceeding", etc. are understood as not including the number itself, and "above", "below", "within", etc. are understood as including the number itself. If there is a description of "first" and "second", it is only for the purpose of distinguishing technical features and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features.

[0028] In the description of the present application, the description with reference to terms such as "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a combined manner.

[0029] An embodiment of the present application discloses a rich media book proposal planning and management system.

[0030] As Figure 1As shown in the figure, a rich media book proposal planning and management system includes a proposal generation module 10 and a data display module 20. The proposal generation module 10 is used to obtain the information to be proposed, and the information to be proposed includes the proposal text. The proposal generation module 10 obtains the corresponding template type according to the proposal text. The template type includes several groups of format positions, and arranges the information to be proposed according to the format positions to generate proposal data. The data display module 20 is connected to the proposal generation module 10 through a network to receive and store the proposal data. The data display module 20 is used to mark the proposal data according to time to obtain marked data, and the data display module 20 is used to display several groups of marked data in a list form.

[0031] Among them, the information to be proposed represents the information of the rich media book that needs to be reviewed. The rich media book includes e-book products and audiobook products. The information to be proposed includes the proposal text, and the proposal text represents the text content of the e-books and audiobooks that need to be reviewed. The template type represents the typesetting format corresponding to the proposal text. The template type includes several groups of format positions, and the template type includes different position information. Different data are placed in each position, so as to be able to display different contents to users. The proposal data represents the information that has completed the template typesetting. This proposal data needs to be reviewed by the reviewer before the corresponding production steps can continue. After the reviewer confirms completion, an e-book will be produced with the proposal data and the produced e-book will be displayed to the corresponding user. When the user clicks on the proposal text, the proposal data will be displayed so that the user can read it.

[0032] Specifically, the proposal generation module 10 obtains the information to be proposed, which can be manually input or directly obtained by the proposal generation module 10 from the information database. The information database stores multiple groups of rich media book information, and the rich media book information includes information to be reviewed, information to be published, and information to be modified, etc. The information to be reviewed refers to the data information of the rich media book that needs to be reviewed by the reviewer. The information to be published refers to the data information of the rich media book that has completed the review. The information to be modified refers to the data information of the rich media book that has been reviewed but needs to be modified.

[0033] It should be noted here that since multiple groups of data are stored in the information database, the signals generated by different types of data are different. Exemplarily, for the specific process of the proposal generation module 10 to obtain the information to be proposed, the proposal generation module 10 sends a review extraction signal to the information database. The information database receives the review extraction signal, responds to the review extraction signal and sends the rich media books that need to be reviewed to the proposal generation module 10 in sequence, so that the proposal generation module 10 can perform corresponding operations.

[0034] The proposal generation module 10 obtains the corresponding template type according to the proposal text, which specifically includes the following steps. The proposal generation module 10 sends a template extraction signal to the information database. The information database receives the template extraction signal and responds to the template extraction signal by sending several groups of template types to the proposal generation module 10, so that the proposal generation module 10 can screen among the several groups of template types to obtain the corresponding template type.

[0035] It should be noted here that the proposal generation module 10 specifically implements its functions by using multimedia content interaction technology. The multimedia content interaction mentioned here refers to an information dissemination method with animation, sound, video or interactivity. Rich media includes one or a combination of several forms such as streaming media, sound, Flash, and programming languages such as Java, Javascript, and DHTML. Rich media can be applied to various network services, such as website design, email, BANNER, BUTTON, pop-up ads, interstitial ads, etc.

[0036] In addition, the marked data represents the data for marking the review order. Specifically, it means that the data display module 20 displays several groups of marked data in chronological order in the window of the display screen, which is convenient for the reviewers to review in turn. Specifically, the proposal data is marked mainly according to the chronological order of the completion time of the proposal data, and the reviewers can open the marked data in turn for review.

[0037] Specifically, this system selects a suitable front-end development framework (such as React or Vue.js) to build the user interface. The focus is on the responsiveness and interactivity of the user interface to ensure that the user experience remains smooth regardless of the content complexity. Design the layout and style of the template to ensure that the designed template can flexibly display text, images, audio, and video content. At the same time, use CSS3 and JavaScript to enhance the dynamic interaction effect of the template. Develop a back-end API for processing the upload, storage, and retrieval of template data to ensure that the template content can be updated in real time according to the user's operations. Conduct cross-platform compatibility tests to ensure that the template can maintain consistent performance on different devices and browsers.

[0038] Refer to Figure 1 In one of the embodiments, the rich media book proposal planning and management system further includes a market prediction module 30. The market prediction module 30 is network-connected to the proposal generation module 10 and also network-connected to the data display module 20. The market prediction module 30 is used to obtain the proposal text sent by the proposal generation module 10, obtain the corresponding level recommendation and sales estimate in the preset database according to the proposal text, and send the level recommendation and sales estimate to the data display module 20. The data display module 20 is used to display the level recommendation and sales estimate in the display window.

[0039] Among them, different from the information database, the preset database stores the display data, reading level, and sales volume of different types of rich media books. The display data represents the data of the rich media books that have completed the review. The reading level represents the level of popularity of the corresponding rich media book. The sales volume represents the number of times the corresponding rich media book has been read. The level recommendation represents the level of whether the proposal text corresponding to the marked data has been reviewed and confirmed. The higher the level, the more popular the proposal text is, and it should be reviewed and approved as soon as possible to complete the production so that users can read it and increase the income of the rich media business. The sales forecast represents the estimated sales volume of the rich media book corresponding to the proposal text.

[0040] Specifically, the data display module 20 receives the level recommendation and sales forecast obtained by the market prediction module 30 and displays the level recommendation and sales forecast to facilitate the judgment of the reviewers, enabling the reviewers to intuitively understand the market data and prediction results, and thus more effectively guiding the publishing strategy and resource allocation.

[0041] It should be noted here that the collection of the preset database is specifically carried out by collecting and sorting historical sales data, user preferences, and market trend information as the data set for model training. The market prediction module 30 specifically selects a suitable machine learning algorithm, such as random forest or neural network, and constructs a prediction model. The model is trained and optimized until a satisfactory accuracy rate is achieved. A user-friendly interface is developed to display the prediction results and related analysis to ensure that decision-makers can easily understand and use this information. A continuous learning mechanism for the model is implemented to regularly update and optimize the model with new market data.

[0042] Refer to Figure 1 In one of the embodiments, the data display module 20 includes a proposal display unit 21, a data storage unit 22, and a proposal decision unit 23. The data storage unit 22 is network-connected to the proposal generation module 10. The proposal decision unit 23 is network-connected to the data storage unit 22, and the proposal decision unit 23 is network-connected to the proposal display unit 21. The data storage unit 22 is used to receive the proposal data sent by the proposal generation module 10 and store the proposal data, and the data storage unit 22 is also used to store the proposal data in chronological order to generate marked data. The proposal display unit 21 is used to receive the marked data sent by the data storage unit 22 and obtain the review data arranged in the review order based on the marked data. The proposal decision unit 23 is used to receive the review data and review the review data in the review order.

[0043] Among them, the review data represents data with a review order. The proposal decision-making unit 23 conducts reviews based on the arrangement of the review data. The data with a higher ranking indicates that the corresponding proposal text has a large market and can expand the scope and revenue of the rich media business.

[0044] Specifically, the proposal display unit 21 displays the proposal data on the display screen for reviewers to review. The data storage unit 22 is used to store all the proposal data and send it to the proposal decision-making unit 23 according to the recommended order corresponding to the level of the proposal data, so that the reviewers can review all the proposal data based on the proposal decision-making unit 23. To obtain the review data arranged in the review order based on the marked data, it is possible to estimate the proposal text corresponding to the marked data and judge the market situation of the proposal text. Specifically, it is sorted according to the sales estimate of the proposal text. The sales estimate mentioned here is specifically obtained based on the market prediction module 30, which will not be elaborated here. In addition, the review data can also be sorted according to the level recommendation corresponding to the proposal text.

[0045] Refer to Figure 1 , in one of the embodiments, the data display module 20 further includes a text guidance unit 24. The text guidance unit 24 is connected to the proposal decision-making unit 23 through a network to receive the review data, and the text guidance unit is used to modify the text of the review data.

[0046] The reviewers can directly describe their opinions on the review data based on the text guidance unit 24, which is convenient for subsequent amendment of the proposal text and speeds up the proposal review rate of the text.

[0047] It should be noted here that the rich media book proposal planning and management system further includes a database management system. The database management system includes an information database and a preset database. Database design needs to consider data security and scalability. Develop proposal management functions, including proposal upload, review, tracking, and feedback mechanisms. This requires close cooperation between the front end and the back end to ensure data real-time and accuracy. Integrate data analysis and visualization tools and embed these tools into the management system to provide intuitive data support for publishing decisions. Conduct comprehensive testing of the system, including functional testing, performance testing, and user acceptance testing, to ensure the stability and reliability of the system and user satisfaction.

[0048] In addition, the data storage unit 22 is used to receive the proposal data sent by the proposal generation module 10 and store the proposal data. Therefore, in the same way as the construction of the database, it will not be elaborated here.

[0049] The embodiment of the present application also discloses a rich media book proposal planning and management method, which is applied to the above-mentioned rich media book proposal planning and management system.

[0050] A rich media book proposal planning and management method, comprising the following steps: S100. Obtain the information to be proposed. The information to be proposed includes the proposal text. The proposal generation module 10 obtains the corresponding template type according to the proposal text. The template type includes several groups of format positions, and arranges the information to be proposed according to the format positions to generate proposal data.

[0051] S200. Mark the proposal data according to time to obtain marked data. The data display module 20 is used to display several groups of marked data in a list form.

[0052] Among them, the information to be proposed, the template type, the proposal data, the marked data, the level recommendation, the sales estimate, etc., the specific meanings and acquisition methods are similar to those described in the rich media book proposal planning and management system, and will not be elaborated here.

[0053] The embodiment of the present application also discloses a storage medium, which stores at least one instruction, at least one program, a code set or an instruction set. The at least one instruction, at least one program, the code set or the instruction set is loaded and executed by a processor to implement the rich media book proposal planning and management method.

[0054] The implementation principle is as follows: First, the proposal generation module 10 obtains the information to be proposed. The information to be proposed includes the proposal text. The proposal generation module 10 obtains the corresponding template type according to the proposal text. The template type includes several groups of format positions, and arranges the information to be proposed according to the format positions to generate proposal data.

[0055] Next, the data storage unit 22 is used to receive the proposal data sent by the proposal generation module 10 and store the proposal data, and the data storage unit 22 is also used to store the proposal data in chronological order to generate marked data.

[0056] At the same time, the market prediction module 30 is used to obtain the proposal text sent by the proposal generation module 10, obtain the corresponding level recommendation and sales estimate in the preset database according to the proposal text, and send the level recommendation and sales estimate to the proposal display form.

[0057] Finally, the proposal display unit 21 is used to receive the marked data sent by the data storage unit 22 and the level recommendation and sales estimate sent by the market prediction module 30, and obtain the review data arranged in the review order according to the level recommendation and sales estimate of the marked data, so that the review personnel can review all the review data according to the review order.

[0058] The embodiment of the present application also discloses a proposal generation module 10 for rich media book proposal planning and management.

[0059] As shown Figure 1 in the figure, the rich media book proposal planning and management proposal generation module 10 includes a format generation unit 11 and a format correction unit 12.

[0060] The format generation unit 11 obtains the corresponding template type according to the proposal text. The template type includes several groups of format positions, and matches the proposal image with the image position information, the proposal audio with the audio position information, and the proposal video with the video position information to generate proposal data.

[0061] The format correction unit 12 is used to obtain the user's habit. The user's habit represents the reading state of the user, obtains keywords according to the user's habit, and updates the proposal data based on the keywords and the information to be proposed.

[0062] Among them, the information to be proposed also includes the proposal image, the proposal audio, and the proposal video. The format positions include the image position information, the audio position information, and the video position information. The proposal image represents the image display corresponding to the proposal text, the proposal audio represents the audio content corresponding to the proposal text, the proposal video represents the video display corresponding to the proposal text, the image position information represents the position information used to place the proposal image, the audio position information represents the position information used to place the proposal audio, and the video position information represents the position information used to place the proposal video.

[0063] It should be noted here that the information database also stores several groups of template types, which are applicable to the formats of different types of information to be proposed. For example, some of the information to be proposed corresponding to the proposal text has images and audio, while some of the information to be proposed only has the proposal text. In order to improve the response speed of the display window, the corresponding template type can be directly obtained according to the specific content of the information to be proposed.

[0064] Specifically, the main methods of matching the proposal image with the image position information, the proposal audio with the audio position information, and the proposal video with the video position information are similar. Here, the matching of the proposal image with the image position information is taken as an example.

[0065] Exemplarily, the format generation unit 11 sends a text acquisition signal to the proposal generation module 10. The proposal generation module 10 sends the proposal information of the rich media book to be reviewed obtained from the information database to the format generation unit 11. The format generation unit 11 extracts the proposal text and the proposal image corresponding to the proposal text from the proposal information. At the same time, the format generation unit 11 sends a template extraction signal to the proposal generation module 10. The proposal generation module 10 receives the template extraction signal and responds to the template extraction signal to send the corresponding template type to the format generation unit 11. The format generation unit 11 obtains the information of several groups of format positions according to the template type, and filters in the information of the format positions to obtain the image position information corresponding to the proposal image.

[0066] In addition, the user's habit characterizes the user's reading state. The user's habit can be obtained by the format correction unit 12 according to the number of times the user clicks on the format position. Specifically, when obtaining, the number of times a certain user clicks on the format position during the reading of the rich media book is counted, and then the format positions are sorted from high to low according to the number of times. Specifically, the keywords of the format position are mainly captured, so as to be able to judge the user's usage habit, and thus be able to update the proposal data based on the keywords and the proposal information.

[0067] The embodiment of the present application also discloses a rich media book proposal planning management method.

[0068] Referring to Figure 1 and Figure 2 , a rich media book proposal planning management method, for the proposal generation module 10, the proposal information to be proposed includes proposal text, proposal image, proposal audio and proposal video, and the format positions include text position information, image position information, audio position information and video position information, including the following steps: S110, obtain the proposal information to be proposed, obtain the corresponding template type according to the proposal text, and match the proposal text with the text position information, the proposal image with the image position information, the proposal audio with the audio position information, and the proposal video with the video position information to generate proposal data.

[0069] S120, obtain the user's habit, and the user's habit characterizes the user's reading state.

[0070] S130, obtain keywords according to the user's habit, and update the proposal data based on the keywords and the proposal information to be proposed.

[0071] Among them, the proposal image, proposal audio, proposal video, image position information, audio position information and video position information are all similar to those described in the rich media book proposal planning management proposal generation module 10, and will not be elaborated here.

[0072] In addition, the methods for obtaining the proposal data, reading status, and keywords are similar to those described in the rich media book proposal planning and management proposal generation module, and will not be elaborated here.

[0073] In another embodiment, the proposal data is updated based on the keywords and the information to be proposed, including the following steps: S131, obtaining the viewing type based on the keywords, filtering the viewing type in the format position, and determining whether corresponding information is filtered.

[0074] S132, if corresponding information is filtered, marking the position corresponding to the corresponding information to obtain marking information.

[0075] S133, updating the proposal data according to the marking information.

[0076] Among them, the viewing type represents the viewing mode that the user currently performs on the proposal text, whether it is to obtain audio information or based on text information, etc. The viewing types include text, image, audio, and video. The marking information is the information obtained by statistically marking the obtained format positions.

[0077] Updating the proposal data according to the marking information is specifically to adjust the positions corresponding to the format positions with more occurrences of the marking information to positions closer to the user, which is convenient for the user to view.

[0078] The embodiment of the present application also discloses a storage medium, which stores at least one instruction, at least one program, a code set or an instruction set. The at least one instruction, at least one program, the code set or the instruction set is loaded and executed by a processor to implement the rich media book proposal planning and management method.

[0079] The embodiment of the present application also discloses a rich media book proposal planning and management market prediction module 30.

[0080] Refer to Figure 3 , for the rich media book proposal planning and management market prediction module 30, the market prediction module 30 includes a level recommendation unit 31, a sales estimation unit 32, and a data update unit 33. The level recommendation unit 31 is connected to the data display module 20 through a network, the sales estimation unit 32 is connected to the data display module 20 through a network, the data update unit 33 is connected to the level recommendation unit 31 through a network, and is also connected to the sales estimation unit 32 through a network.

[0081] The data update unit 33 is used to regularly obtain market sales information, obtain the actual sales quantity based on the market sales information, and update the preset database based on the actual sales quantity.

[0082] The level recommendation unit 31 is used to regularly obtain the corresponding matching text in the updated preset database according to the proposal text, take the level value corresponding to the matching text as the level recommendation corresponding to the proposal text, and send the level recommendation to the data display module 20.

[0083] The sales forecast unit 32 is used to obtain the offline sales quantity and receive the matching text obtained by the level recommendation unit 31, and obtain the sales forecast according to the offline sales quantity and the actual sales data corresponding to the matching text, and send the sales forecast to the data display module 20.

[0084] Among them, the market sales information represents the sales situation corresponding to the matching text. The market sales information includes the offline sales quantity and the online reading quantity, etc. The offline sales quantity represents the paper sales data corresponding to the matching text, and the online reading quantity represents the electronic reading quantity corresponding to the matching text. The actual sales quantity represents the actual sales data corresponding to the matching text, that is, the total paper and electronic sales quantity. Here, the sales refer to the overall reading volume. It should be noted that not all matching texts correspond to the offline sales quantity.

[0085] The preset database stores several groups of matching texts corresponding to the proposal text and the level values corresponding to the matching texts. The level value represents the popularity level of the matching text. The level recommendation unit 31 regularly obtains the corresponding matching text in the updated preset database, specifically, it can give timely feedback to improve the accuracy of obtaining the level recommendation.

[0086] The market sales information can be obtained regularly. A fixed time can be set, for example, set to 7 days or 30 days. It depends on the specific situation. When the data difference is large, the time can be set shorter. If the short-term data difference is small, the time can be set longer. The specific acquisition method can be that the data update unit 33 extracts in the preset database, and the preset database stores the sales data of each matching text. The specific storage method can be input manually.

[0087] The actual sales quantity is characterized as the real-time sales quantity of the matching text. The actual sales quantity is obtained according to the market sales information, the preset database is updated based on the actual sales quantity, and the prediction model is continuously optimized according to the new market data and feedback, and the preset database is updated in real time, so as to ensure the timeliness and accuracy of the prediction results.

[0088] The embodiment of the present application also discloses a rich media book proposal planning and management method.

[0089] Refer to Figure 3 and Figure 4 , the rich media book proposal planning and management method is used for the market prediction module 30, and includes the following steps: S300. Regularly obtain market sales information, obtain the actual sales quantity based on the market sales information, and update the preset database based on the actual sales quantity.

[0090] S400. Regularly obtain the corresponding matching text in the updated preset database according to the proposal text, and use the level value corresponding to the matching text as the level recommendation corresponding to the proposal text.

[0091] S500. Obtain the offline sales quantity and the matching text obtained by the receiving level recommendation unit, and obtain the sales forecast based on the offline sales quantity and the actual sales data corresponding to the matching text.

[0092] Among them, the preset database includes the matching text and the level value corresponding to the matching text, and the level value represents the popularity level of the matching text. The offline sales quantity, the online reading quantity, the market sales information, and the actual sales quantity are all similar to those described in the rich media book proposal planning management market prediction module 30. The methods of regularly obtaining the corresponding matching text in the updated preset database according to the proposal text, regularly obtaining the market sales information, and updating the preset database based on the actual sales quantity are also all similar to those described in the rich media book proposal planning management market prediction module 30. Therefore, they will not be elaborated here.

[0093] In another embodiment, obtaining the sales forecast based on the offline sales quantity and the actual sales data corresponding to the matching text includes the following steps: S610. Obtain the matching index in the preset database according to the proposal text and the matching text.

[0094] S620. Obtain the sales forecast based on the first offline quantity, the matching index, and the actual sales quantity.

[0095] Among them, the offline sales quantity includes the first offline quantity and the second offline quantity. The first offline quantity represents the offline sales quantity corresponding to the proposal text, the second offline quantity represents the offline sales quantity corresponding to the matching text, and the matching index represents the matching level between the proposal text and the matching text. Here, the matching level can be set as a percentage.

[0096] The sales forecast can be obtained based on the first offline quantity, the matching index, and the actual sales quantity. The first offline quantity and the actual sales quantity can be correspondingly converted according to the matching index, and the ratio of the first offline quantity to the actual sales quantity is used as the calculation index. The actual index represents the sales forecast ratio of the actual proposal text. The calculation index is compared with the judgment index. The judgment index includes the first judgment index and the second judgment index, and the first judgment index and the second judgment index can be set according to specific situations. If the calculation index is less than the first judgment index, the sales forecast is directly the product of the actual sales quantity and the matching index. If the calculation index is higher than the first judgment index and lower than the second judgment index, the actual index is obtained based on the matching index and the calculation index, and the sales forecast is the product of the actual sales quantity and the actual index. If the calculation index is higher than the second judgment index, the sales forecast is obtained based on the proposal forecast curve.

[0097] Exemplarily, the matching index is set to a, the calculation index is set to b, the actual index is a / (a + b), the first offline quantity is set to x, the actual sales quantity is y, and the sales forecast is A. The first judgment index is set to 20%, and the second judgment index is set to 50%. If b is less than 20%, then A is y * a. If b is greater than or equal to 20% and less than 50%, then A is y * a / (a + b).

[0098] It should be noted here that if the calculation index is higher than the second judgment index, the sales forecast is obtained based on the proposal forecast curve. The proposal forecast curve represents the data curve of the offline sales of the proposal text. Specifically, it is a data curve obtained by continuously optimizing the prediction model according to new market data and feedback, and is mainly a curve obtained by fitting historical sales data. This curve is mainly fitted according to historical sales months and historical sales quantities.

[0099] The embodiments of the present application also disclose a storage medium, which stores at least one instruction, at least one program, a code set or an instruction set. The at least one instruction, at least one program, the code set or the instruction set is loaded and executed by a processor to implement the rich media book proposal planning management method.

[0100] It should be understood that although the steps in the flowchart of the accompanying drawings are sequentially shown according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit and can be executed in other orders.

[0101] The above are all the preferred embodiments of the present application. The protection scope of the present application is not limited by this. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A rich media book proposal planning and management system, characterized in that: include: A proposal generation module, the proposal generation module is used to obtain information to be proposed, the information to be proposed includes a proposal text, the proposal generation module obtains a corresponding template type according to the proposal text, the template type includes a plurality of groups of format positions, and typesets the information to be proposed according to the format positions to generate proposal data; A data display module, wherein the data display module is connected to the proposal generation module through a network to receive and store the proposal data, wherein the data display module is used to mark the proposal data according to time to obtain marked data, and wherein the data display module is used to display several groups of the marked data in a list form.

2. The rich media book proposal planning and management system according to claim 1, characterized in that: It also includes a market prediction module, which is network-connected to the proposal generation module and the data display module. The market prediction module is used to obtain the proposal text sent by the proposal generation module, and obtain the corresponding grade recommendation and sales forecast in a preset database based on the proposal text, and send the grade recommendation and the sales forecast to the data display module. The data display module is used to display the grade recommendation and the sales forecast in a display window.

3. The rich media book proposal planning and management system according to claim 1, characterized in that: The data display module includes a proposal display unit, a data storage unit and a proposal decision unit, the data storage unit is connected to the proposal generation module network, the proposal decision unit is connected to the data storage unit network, and the proposal decision unit is connected to the proposal display unit network; The data storage unit is used to receive the proposal data sent by the proposal generation module and store the proposal data, and the data storage unit is also used to store the proposal data in chronological order to generate the marking data; The proposal display unit is used to receive the marking data sent by the data storage unit, and obtain the review data arranged in the review order according to the marking data; The proposal decision unit is used to receive the review data and review the review data according to the review order.

4. The rich media book proposal planning and management system according to claim 3, characterized in that: The data display module also includes a text guidance unit, which is connected to the proposal decision unit through a network so as to receive the review data, and is used to perform text modification on the review data.

5. A rich media book proposal planning management proposal generation module, characterized in that: The information to be proposed also includes a proposal image, a proposal audio, and a proposal video, the format position includes image position information, audio position information, and video position information, and the proposal generation module includes a format generation unit and a format correction unit; The format generation unit obtains a corresponding template type according to the proposal text, the template type includes a plurality of sets of format positions, and matches the proposal image with the image position information, matches the proposal audio with the audio position information, and matches the proposal video with the video position information to generate proposal data; The format correction unit is used to obtain user habits, which represent the user's reading status, obtain keywords based on the user habits, and update the proposal data based on the keywords and the information to be proposed.

6. A rich media book proposal planning management market forecasting module, characterized in that: The market forecast module includes a grade recommendation unit, a sales estimation unit and a data update unit, wherein the grade recommendation unit is network-connected to the data display module, the sales estimation unit is network-connected to the data display module, the data update unit is network-connected to the grade recommendation unit and network-connected to the sales estimation unit; The data updating unit is used to periodically obtain market sales information, and obtain actual sales quantity according to the market sales information, and update a preset database based on the actual sales quantity, wherein the preset database stores a plurality of groups of matching texts corresponding to the proposal texts and grade values ​​corresponding to the matching texts, wherein the grade values ​​represent the popularity level of the matching texts, and the actual sales quantity represents the actual sales data corresponding to the matching texts; The grade recommendation unit is used to obtain corresponding matching texts from a regularly updated preset database according to the proposal text, use the grade value corresponding to the matching text as the grade recommendation corresponding to the proposal text, and send the grade recommendation to the data display module; The sales estimation unit is used to obtain the offline sales quantity and receive the matching text obtained by the level recommendation unit, and obtain the sales estimate based on the offline sales quantity and the actual sales data corresponding to the matching text, and send the sales estimate to the data display module.

7. A rich media book proposal planning and management method, used in a proposal generation module, characterized in that: The following steps are involved: Acquire the information to be proposed and the format position, wherein the information to be proposed includes proposal text, proposal image, proposal audio and proposal video, and the format position includes text position information, image position information, audio position information and video position information; Acquire a corresponding template type according to the proposal text, and match the proposal text with the text position information, match the proposal image with the image position information, match the proposal audio with the audio position information, and match the proposal video with the video position information to generate proposal data; Acquire user habits, where the user habits represent the reading status of the user; Keywords are acquired according to the user habits, and the proposal data is updated based on the keywords and the information to be proposed.

8. The rich media book proposal planning and management method according to claim 7, characterized in that: The updating of the proposal data based on the keyword and the information to be proposed comprises the following steps: Acquire a viewing type based on the keyword, filter the viewing type in the format position, and determine whether corresponding information is found; If the corresponding information is found, the position corresponding to the corresponding information is marked to obtain marking information; The proposal data is updated according to the marking information.

9. A method for planning and managing rich media book proposals, characterized in that: For the market forecasting module, the following steps are included: Regularly obtain market sales information, and obtain actual sales quantity based on the market sales information, and update a preset database based on the actual sales quantity, wherein the preset database stores a plurality of groups of matching texts corresponding to the proposal texts and grade values ​​corresponding to the matching texts, wherein the grade values ​​represent the popularity of the matching texts, and the actual sales quantity represents the actual sales data corresponding to the matching texts; Obtaining corresponding matching texts from a regularly updated preset database according to the proposal text, taking the grade value corresponding to the matching text as a grade recommendation corresponding to the proposal text, and sending the grade recommendation to a data display module; The offline sales quantity and the matching text obtained by the receiving grade recommendation unit are obtained, and a sales estimate is obtained according to the offline sales quantity and the actual sales data corresponding to the matching text.

10. The rich media book proposal planning and management method according to claim 9, characterized in that: The offline sales quantity includes a first offline quantity and a second offline quantity, the first offline quantity represents the offline sales quantity corresponding to the proposal text, and the second offline quantity represents the offline sales quantity corresponding to the matching text, and the sales estimate is obtained according to the offline sales quantity and the actual sales data corresponding to the matching text, including the following steps: Acquiring a matching index in a preset database according to the proposal text and the matching text, wherein the matching index represents a matching level between the proposal text and the matching text; A sales estimate is obtained based on the first offline quantity, the matching index, and the actual sales quantity.

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