A rich media book proposal development management system, module, and method

Abstract

The application relates to the technical field of electronic book production, in particular to a rich-media book proposal planning management system, a module and a method, wherein the system comprises a proposal generation module for acquiring to-be-proposed information, the to-be-proposed information comprising a proposal text, the proposal generation module acquires a corresponding template type according to the proposal text, the template type comprises a plurality of groups of format positions, and the to-be-proposed information is laid out according to the format positions to generate proposal data; a data display module is used for marking the proposal data according to time to acquire marked data, and the data display module is used for displaying the plurality of groups of marked data in a list form. The application is displayed through the data display module, so that the auditing efficiency of the proposal data is improved, the auditing time length of the rich-media book is reduced, the production efficiency of the rich-media book is improved, and the auditing efficiency of the proposal data is further improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electronic book making, in particular to a rich media book proposal planning management system, module and method. BACKGROUND

[0002] Traditional reading is mainly paper books, after determining the content of the paper book, the final draft is made and issued, but the paper book is not convenient to carry and the information amount is less, and the paper book needs a large amount of paper in production and the production process is long, so with the development of the network world, rich media books, i.e. electronic books and audio books with animation, sound, video or interactivity, are more and more popular because of their convenience and low price.

[0003] The current electronic books and audio books are made after the paper books are issued, and the fixed layout design is adopted, mainly with text description, and only the content of the PDF needs to be determined during the electronic book production audit.

[0004] However, for some professional books, there are various forms, such as tables, pictures and sounds, etc., and when auditing the electronic books and audio books, the auditors need to consider the content structure, judgment basis and management mechanism comprehensively, and then decide whether the electronic books and audio books need to be made, which will cause the extension of the production time of the electronic books and audio books. SUMMARY

[0005] In order to reduce the production time of the electronic books and audio books and improve the audit efficiency of the electronic books and audio books, the present application provides a rich media book proposal planning management system, module and method.

[0006] In the first aspect, the present application provides a rich media book proposal planning management system, which adopts the following technical scheme:

[0007] A rich media book proposal planning management system, comprising:

[0008] A proposal generation module, the proposal generation module is used for acquiring to-be-proposed information, the to-be-proposed information includes a proposal text, the proposal generation module acquires a corresponding template type according to the proposal text, the template type includes a plurality of groups of format positions, and the to-be-proposed information is laid out according to the format positions to generate proposal data;

[0009] A data display module, the data display module is network-connected with the proposal generation module to receive and store the proposal data, the data display module is used for marking the proposal data according to time to acquire marked data, and the data display module is used for displaying a plurality of groups of the marked data in a list form.

[0010] By adopting the technical scheme, the proposal generation module acquires a plurality of groups of to-be-proposed information, acquires a corresponding matching template type according to the proposal text, and arranges the to-be-proposed information according to the template type, and displays the to-be-proposed information through the data display module, thereby reducing the review time length of the rich media book and improving the production efficiency of the rich media book. The data display module displays a plurality of groups of marked data in a list form, facilitating the review personnel to view.

[0011] In one of the embodiments, the system further comprises a market prediction module, which is in network connection with the proposal generation module and the data display module. The market prediction module is configured to acquire the proposal text sent by the proposal generation module, acquire corresponding grade recommendation and sales estimation in a preset database according to the proposal text, and send the grade recommendation and the sales estimation to the data display module. The data display module is configured to display the grade recommendation and the sales estimation on a display window.

[0012] By adopting the technical scheme, the market prediction module acquires corresponding grade recommendation and sales estimation, and displays the grade recommendation and the sales estimation on a window through the data display module, thereby facilitating the review personnel to review, and improving the review efficiency of the proposal data.

[0013] In one of the embodiments, the data display module comprises a proposal display unit, a data storage unit, and a proposal decision unit. The data storage unit is in network connection with the proposal generation module. The proposal decision unit is in network connection with the data storage unit and the proposal display unit.

[0014] The data storage unit is configured to receive the proposal data sent by the proposal generation module and store the proposal data, and further configured to store the proposal data in chronological order to generate the marked data.

[0015] The proposal display unit is configured to receive the marked data sent by the data storage unit, and acquire review data arranged in a review order according to the marked data.

[0016] The proposal decision unit is configured to receive the review data and review the review data in the review order.

[0017] In one of the embodiments, the data display module further comprises a text guidance unit, which is in network connection with the proposal decision unit to receive the review data. The text guidance unit is configured to modify the review data in text.

[0018] By adopting the technical scheme, the text guidance window is directly added in the audit system, the audit on the audit data is improved, and the audit efficiency of the proposal text is improved.

[0019] In a second aspect, the application provides a rich media book proposal planning management proposal generation module, which adopts the following technical scheme:

[0020] A rich media book proposal planning management proposal generation module, the to-be-proposed information further 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.

[0021] The format generation unit acquires a corresponding template type according to the proposal text, the template type includes a plurality of sets of format positions, and the proposal image, the proposal audio, and the proposal video are matched with the image position information, the audio position information, and the video position information respectively to generate proposal data.

[0022] The format correction unit is configured to acquire user habits, the user habits represent the reading state of the user, acquire a keyword according to the user habits, and update the proposal data based on the keyword and the to-be-proposed information.

[0023] By adopting the technical scheme, the reading state of the user is acquired through the user habits, and the proposal data is adjusted for different users, so that accurate management of the proposal text is facilitated, and the proposal quality of the system is improved.

[0024] In a third aspect, the application provides a rich media book proposal planning management market prediction module, which adopts the following technical scheme:

[0025] 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 updating unit, the level recommendation unit is network-connected with a data display module, the sales estimation unit is network-connected with the data display module, the data updating unit is network-connected with the level recommendation unit and the sales estimation unit.

[0026] The data updating unit is configured to acquire market sales information regularly, acquire an actual sales quantity according to the market sales information, update a preset database based on the actual sales quantity, and store a plurality of sets of matching texts corresponding to the proposal text and level values corresponding to the matching texts in the preset database, the level values represent the popularity levels of the matching texts, and the actual sales quantity represents actual sales data corresponding to the matching texts.

[0027] The level recommendation unit is configured to periodically acquire a corresponding matching text in an updated preset database according to the proposal text, take the level value corresponding to the matching text as a level recommendation corresponding to the proposal text, and send the level recommendation to the data display module.

[0028] The sales estimation unit is configured to acquire an offline sales quantity and receive the matching text acquired by the level recommendation unit, and acquire a sales estimation according to the offline sales quantity and the actual sales data corresponding to the matching text, and send the sales estimation to the data display module.

[0029] By using the above technical solution, the level recommendation acquired by the level recommendation unit and the sales estimation acquired by the sales estimation unit can facilitate the auditing personnel to intuitively and effectively guide the publishing strategy and resource allocation based on the proposal text, and improve the management efficiency of the proposal data.

[0030] In a fourth aspect, the present application provides a rich media book proposal planning management method, which adopts the following technical solution:

[0031] A rich media book proposal planning management method, applied to a proposal generation module, includes the following steps:

[0032] Acquire to-be-proposed information and format positions, wherein the to-be-proposed information 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;

[0033] Acquire a 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;

[0034] Acquire a user habit, wherein the user habit represents a reading state of the user;

[0035] Acquire a keyword according to the user habit, and update the proposal data based on the keyword and the to-be-proposed information.

[0036] In one embodiment, the updating of the proposal data based on the keyword and the to-be-proposed information includes the following steps:

[0037] Acquire a viewing type based on the keyword, filter the viewing type in the format positions, and determine whether corresponding information is filtered out;

[0038] If the corresponding information is screened, a position corresponding to the corresponding information is marked to obtain marking information;

[0039] The proposal data is updated according to the marking information.

[0040] By using the above technical solution, the format position is updated by the keyword of the user habit, which can facilitate user operation, and thus improves the use of the rich media book by the user, and thus improves the overall sales of the rich media book.

[0041] In a fifth aspect, the application provides a rich media book proposal planning management method, which adopts the following technical solution:

[0042] A rich media book proposal planning management method for a market prediction module includes the following steps:

[0043] Periodically obtain market sales information, and obtain an actual sales quantity according to the market sales information, update a preset database based on the actual sales quantity, the preset database stores a plurality of sets of matching texts corresponding to proposal texts 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 actual sales data corresponding to the matching texts;

[0044] According to the proposal text, corresponding matching texts are obtained in the updated preset database, the grade values corresponding to the matching texts are used as grade recommendations corresponding to the proposal texts, and the grade recommendations are sent to a data display module;

[0045] Obtain an offline sales quantity and the matching texts obtained by a grade recommendation unit, and obtain a sales estimate according to the offline sales quantity and the actual sales data corresponding to the matching texts.

[0046] In one embodiment, the offline sales quantity includes a first offline quantity and a second offline quantity, the first offline quantity represents an offline sales quantity corresponding to the proposal text, the second offline quantity represents an 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:

[0047] According to the proposal text and the matching text, a matching index is obtained in the preset database, the matching index represents the matching grade of the proposal text and the matching text;

[0048] The sales estimate is obtained according to the first offline quantity, the matching index, and the actual sales quantity.

[0049] By adopting the technical scheme, the matching index is obtained according to the proposal text and the matching text in the preset database, the sales estimation is obtained according to the matching index and the actual sales index, and then the sales estimation can be accurately obtained, so that the auditing personnel can quickly audit according to the sales estimation, and the publishing strategy and resource allocation can be effectively guided according to the proposal text, and the management efficiency of the proposal data is improved.

[0050] To sum up, the present application includes at least one of the following beneficial technical effects:

[0051] 1. The proposal generation module obtains a plurality of sets of to-be-proposed information, obtains a corresponding matching template type from the proposal text, and formats the to-be-proposed information according to the template type, and displays it through the data display module, thereby reducing the auditing time of the rich media book and improving the production efficiency of the rich media book; the data display module displays a plurality of sets of marked data in a list form, which is convenient for the auditing personnel to view; the customized proposal template and presentation style are adopted, and multimedia content integration is supported, so that the proposal quality is greatly improved, the evaluation process is accelerated, and the user experience is enhanced;

[0052] 2. The market prediction module obtains the corresponding grade recommendation and sales estimation, and displays the grade recommendation and sales estimation in the window through the data display module, thereby facilitating the auditing of the auditing personnel, and improving the auditing efficiency of the proposal data; the market prediction module based on big data is used, and the historical sales data, market trends, user preferences and other information of e-books and audio books are analyzed, so that the market potential can be accurately predicted, the publishing house can make more targeted investment decisions, and the financial risk can be reduced;

[0053] 3. The proposal display unit is used to display the proposal data on the display screen for the auditing personnel to audit, and the data storage unit is used to store all the proposal data and send them to the proposal decision unit in the order of the corresponding grade recommendation, so that the auditing personnel can audit all the proposal data based on the proposal decision unit, and the auditing efficiency of the proposal data is improved; the data visualization tool is used to make the decision maker more intuitively understand the market data and prediction results, so that the speed and accuracy of decision making are improved, and the rational allocation of resources is effectively promoted;

[0054] 4. The reading state of the user is obtained according to the user habit, and the proposal data is adjusted for different users, so as to realize accurate management of the proposal text and improve the proposal quality of the system; BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 is a rich media book proposal planning management system block diagram provided by the embodiment of the present application;

[0056] Figure 2is a method block diagram applied to the proposal generation module provided by the embodiment of the present application;

[0057] Figure 3 is a market prediction module structure provided by the embodiment;

[0058] Figure 4 is a method block diagram applied to the market prediction module provided by the embodiment of the present application.

[0059] The figure mark explanation: 10, the proposal generation module; 11, the format generation unit; 12, the format correction unit; 20, the data display module; 21, the proposal display unit; 22, the data storage unit; 23, the proposal decision unit; 24, the text guidance unit; 30, the market prediction module; 31, the level recommendation unit; 32, the sales estimation unit; 33, the data update unit. DETAILED DESCRIPTION

[0060] To more clearly understand the purpose, technical scheme and advantages of the present application, the present application is described and explained below in conjunction with the 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, in order to avoid unnecessary description, make the aspects of the present application obscure, the well-known methods, processes, systems, components and / or circuits that have been described at a higher level will not be described in detail. It is obvious for those of ordinary skill in the art that various changes can be made to the embodiments disclosed in the present application, and the general principles defined in the present application can be applied to other embodiments and application scenarios without deviating from the principles and scope of the present application. Therefore, the present application is not limited to the shown embodiments, but conforms to the broadest range claimed in the present application.

[0061] For software implementation, the techniques described herein can be implemented using modules (for example, procedures, functions, and so on) 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 via various means known in the art.

[0062] In the description of the present application, the meaning of one or more is one or more, the meaning of multiple is two or more, greater than, less than, more than, etc. is understood as not including the number, above, below, within, etc. is understood as including the number. If it is described that the first, the second is only used to distinguish the technical features for the purpose, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the sequence of indicated technical features.

[0063] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "illustrative embodiment", "example", "specific example", 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 the present specification, the illustrative description of the above terms does 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.

[0064] The embodiment of the present application discloses a rich media book proposal planning management system.

[0065] As shown in the Figure 1 The rich media book proposal planning management system includes a proposal generation module 10 and a data display module 20. The proposal generation module 10 is used to obtain to-be-proposed information, and the to-be-proposed information includes a proposal text. The proposal generation module 10 obtains a corresponding template type according to the proposal text, the template type includes a plurality of groups of format positions, and arranges the to-be-proposed information according to the format positions to generate proposal data. The data display module 20 is network-connected with the proposal generation module 10 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 display the plurality of groups of marked data in a list form.

[0066] The to-be-proposed information represents the information of the rich media book to be audited, and the rich media book includes an e-book product and an audio book product. The to-be-proposed information includes a proposal text, and the proposal text represents the text content of the e-book and the audio book to be audited. The template type represents the layout format corresponding to the proposal text, and the template type includes a plurality of groups of format positions. The template type includes different position information, each position places different data, and thus different content can be displayed to the user. The proposal data represents the information that has completed the template layout, and the proposal data needs to be audited by an auditor to continue the corresponding production steps. After the auditor confirms the completion, the e-book is produced by using the proposal data, and the produced e-book is displayed to the corresponding user. When the user clicks on the proposal text, the proposal data is displayed, so that the user can read.

[0067] Specifically, the proposal generation module 10 acquires the to-be-proposed information, which can be manually input by a person or directly acquired by the proposal generation module 10 from an information database. The information database stores a plurality of sets of rich media book information, including to-be-audited information, to-be-published information, and to-be-modified information. The to-be-audited information refers to data information of a rich media book that needs to be audited by an auditor, the to-be-published information refers to data information of a rich media book that has been audited, and the to-be-modified information refers to data information of a rich media book that has been audited but needs to be modified.

[0068] It should be noted that, since the information database stores a plurality of sets of data, the signals generated by different types of data are different. For example, the specific process of the proposal generation module 10 acquiring the to-be-proposed information is as follows: the proposal generation module 10 sends an audit extraction signal to the information database, the information database receives the audit extraction signal and responds to the audit extraction signal by sequentially sending the rich media books that need to be audited to the proposal generation module 10, so that the proposal generation module 10 performs corresponding operations.

[0069] The proposal generation module 10 acquires the corresponding template type according to the proposal text, which 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 a plurality of sets of template types to the proposal generation module 10, so that the proposal generation module 10 selects from the plurality of sets of template types to acquire the corresponding template type.

[0070] It should be noted that the proposal generation module 10 specifically implements the function 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 of streaming media, sound, Flash, and Java, Javascript, DHTML, and other programming languages. Rich media can be applied to various network services, such as website design, email, BANNER, BUTTON, pop-up advertising, and interstitial advertising.

[0071] In addition, the mark data represents data that represents the order of the mark audit, which specifically refers to the data display module 20 displaying a plurality of sets of mark data in chronological order on the window of the display screen, so that the auditor can sequentially audit and mark the proposal data, which can be marked according to the chronological order of the completion time of the proposal data. The auditor can sequentially open the mark data for auditing.

[0072] Specifically, the system selects appropriate front-end development frameworks (such as React or Vue.js) to build the user interface. The focus is on the responsiveness and interactivity of the user interface, ensuring that the user experience remains smooth regardless of content complexity. The layout and style of the design template are designed to ensure that the designed template can flexibly display text, images, audio, and video content. At the same time, CSS3 and JavaScript are used to enhance the dynamic interaction effects of the template. Develop backend APIs to handle template data upload, storage, and retrieval, ensuring that template content can be updated in real time according to user operations. Perform cross-platform compatibility testing to ensure that the template performs consistently on different devices and browsers.

[0073] Referring to Figure 1 In one embodiment, the rich media book proposal planning management system further includes a market prediction module 30, which is network connected with the proposal generation module 10 and the data display module 20. The market prediction module 30 is used to obtain the proposal text sent by the proposal generation module 10, and obtain the corresponding level recommendation and sales estimation in the preset database according to the proposal text, and send the level recommendation and sales estimation to the data display module 20. The data display module 20 is used to display the level recommendation and sales estimation in the display window.

[0074] Among them, unlike the information database, the preset database stores the display data, reading level and sales quantity of different types of rich media books. The display data represents the data of the completed audit rich media book, the reading level represents the corresponding favorite level of the rich media book, and the sales quantity represents the corresponding reading times of the rich media book. The level recommendation represents whether the proposal text corresponding to the marked data is confirmed by the audit, and the higher the level, the more popular the proposal text, which should be reviewed as soon as possible to complete the production so that users can read and improve the income of rich media business. Sales estimation represents the estimated sales quantity of the rich media book corresponding to the proposal text.

[0075] Specifically, the data display module 20 receives the level recommendation and sales estimation obtained by the market prediction module 30, and displays the level recommendation and sales estimation, which is convenient for the auditors to judge, so that the auditors can intuitively understand the market data and prediction results, thereby more effectively guiding the publication strategy and resource allocation.

[0076] It should be noted that the collection of the preset database is specifically through the collection and arrangement of historical sales data, user preferences and market trend information as a data set for model training. The market prediction module 30 specifically selects a suitable machine learning algorithm, for example, random forest or neural network, and constructs a prediction model. The model is trained and optimized until a satisfactory accuracy is achieved. A user-friendly interface is developed to display the prediction results and related analysis, ensuring that decision makers can easily understand and use this information. A continuous learning mechanism is implemented to update and optimize the model regularly with new market data.

[0077] Referring 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 with the proposal generation module 10, the proposal decision unit 23 is network connected with the data storage unit 22, and the proposal decision unit 23 is network connected with 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 the marked data. The proposal display unit 21 is used to receive the marked data sent by the data storage unit 22, and obtain the audit data arranged in the audit order according to the marked data. The proposal decision unit 23 is used to receive the audit data and audit the audit data according to the audit order.

[0078] Among them, the audit data represents data with an audit order, and the proposal decision unit 23 audits according to the arrangement of the audit data. The data arranged at the front represents that the corresponding proposal text has a large market and can expand the scope and income of rich media business.

[0079] Specifically, the proposal display unit 21 displays the proposal data on the display screen for the auditors to audit, and the data storage unit 22 is used to store all the proposal data and send them to the proposal decision unit 23 in the order recommended by the corresponding level of the proposal data, so that the auditors can audit all the proposal data based on the proposal decision unit 23. According to the marked data, the audit data arranged in the audit order can be estimated according to the proposal text corresponding to the marked data to judge the market situation of the proposal text. Specifically, the sales forecast is sorted according to the sales forecast of the proposal text. Here, the sales forecast is specifically obtained according to the market prediction module 30, which will not be described here. In addition, the audit data can also be sorted according to the level recommendation corresponding to the proposal text.

[0080] Referring to Figure 1In one of the embodiments, the data display module 20 further comprises a text guidance unit 24, which is network-connected with the proposal decision unit 23 to receive the review data, and the text guidance unit is used for text modification on the review data.

[0081] The reviewer can directly describe opinions on the review data based on the text guidance unit 24, which facilitates subsequent correction of the proposal text and accelerates the proposal review rate of the text.

[0082] It should be noted that the rich media book proposal planning management system also includes a database management system, which includes an information database and a preset database. The database design needs to consider the security and scalability of the data. The development of the proposal management function includes uploading, reviewing, tracking, and feedback mechanisms. This requires close cooperation between the front and back ends to ensure the real-time and accuracy of the data. Integrate data analysis and visualization 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 the satisfaction of users.

[0083] In addition, the data storage unit 22 is used to store the proposal data sent by the proposal generation module 10, so the construction of the database is not described in detail here.

[0084] The embodiments of the application also disclose a rich media book proposal planning management method, which is applied to the rich media book proposal planning management system.

[0085] A rich media book proposal planning management method, comprising the following steps:

[0086] S100, obtaining to-be-proposed information, the to-be-proposed information including a proposal text, the proposal generation module 10 obtaining a corresponding template type according to the proposal text, the template type including a plurality of groups of format positions, and the to-be-proposed information being typeset according to the format positions to generate proposal data.

[0087] S200, marking the proposal data according to time to obtain marked data, and the data display module 20 is used to display a plurality of groups of marked data in a list form.

[0088] Among them, the specific meaning and acquisition method of the to-be-proposed information, the template type, the proposal data, the marked data, the level recommendation, and the sales estimation are similar to the description in the rich media book proposal planning management system, and will not be described in detail here.

[0089] The application further discloses a storage medium, which stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to realize the rich-media book proposal planning management method.

[0090] The implementation principle is:

[0091] Firstly, the proposal generation module 10 acquires to-be-proposed information, the to-be-proposed information including a proposal text, the proposal generation module 10 acquires a corresponding template type according to the proposal text, the template type including a plurality of groups of format positions, and the to-be-proposed information is arranged according to the format positions to generate proposal data.

[0092] Then, the data storage unit 22 is used for receiving the proposal data sent by the proposal generation module 10 and storing the proposal data, and the data storage unit 22 is also used for storing the proposal data according to a time sequence to generate marking data.

[0093] Meanwhile, the market prediction module 30 is used for acquiring the proposal text sent by the proposal generation module 10, acquiring corresponding grade recommendation and sales estimation in a preset database according to the proposal text, and sending the grade recommendation and the sales estimation to the proposal display unit.

[0094] Finally, the proposal display unit 21 is used for receiving the marking data sent by the data storage unit 22 and the grade recommendation and the sales estimation sent by the market prediction module 30, and acquiring audit data arranged according to an audit order according to the marking data and the grade recommendation and the sales estimation, so that an auditor audits all the audit data according to the audit order according to the audit data.

[0095] The application further discloses a rich-media book proposal planning management proposal generation module 10.

[0096] As shown in Figure 1 The rich-media book proposal planning management proposal generation module 10 includes a format generation unit 11 and a format correction unit 12.

[0097] The format generation unit 11 acquires a corresponding template type according to a proposal text, the template type including a plurality of groups of format positions, and matches a proposal image with image position information, matches a proposal audio with audio position information and matches a proposal video with video position information to generate proposal data.

[0098] The format correction unit 12 is used for acquiring user habits, the user habits representing a reading state of the user, acquiring a keyword according to the user habits, and updating the proposal data based on the keyword and the to-be-proposed information.

[0099] The to-be-proposed information further includes a proposed image, a proposed audio and a proposed video, the format position includes image position information, audio position information and video position information, the proposed image represents image display corresponding to the proposed text, the proposed audio represents audio content corresponding to the proposed text, the proposed video represents video display corresponding to the proposed text, the image position information represents position information for placing the proposed image, the audio position information represents position information for placing the proposed audio, and the video position information represents position information for placing the proposed video.

[0100] It should be noted that the information database further stores a plurality of template types suitable for the format of different types of to-be-proposed information. For example, some to-be-proposed information corresponds to proposed text with images and audio, and some to-be-proposed information only has proposed 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 to-be-proposed information.

[0101] Specifically, the main way of matching the proposed image with the image position information, matching the proposed audio with the audio position information and matching the proposed video with the video position information is similar. Here, an example of matching the proposed image with the image position information is taken.

[0102] For example, the format generation unit 11 sends a text acquisition signal to the proposal generation module 10, the proposal generation module 10 sends the to-be-proposed information of the rich media book that needs to be audited to the format generation unit 11, and the format generation unit 11 extracts the proposed text and the proposed image corresponding to the proposed text from the to-be-proposed 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, and the format generation unit 11 obtains the information of a plurality of format positions according to the template type, and filters in the information of the format position to obtain the image position information corresponding to the proposed image.

[0103] In addition, the user habit represents the reading state of the user, and the user habit can be obtained by the format correction unit 12 according to the number of times the user opens the format position. Specifically, the number of times a user opens the format position when reading 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 positions are mainly extracted, so that the use habit of the user can be judged, and the proposed data can be updated based on the keywords and the to-be-proposed information.

[0104] The application also discloses a rich media book proposal planning management method.

[0105] Reference Figure 1And Figure 2 , the rich media book proposal planning management method is used for the proposal generation module 10, the to-be-proposed information includes proposal text, proposal image, proposal audio and proposal video, the format position includes text position information, image position information, audio position information and video position information, and the method comprises the following steps:

[0106] S110, acquiring to-be-proposed information, and acquiring a corresponding template type according to the proposal text, and matching the proposal text with the text position information, matching the proposal image with the image position information, matching the proposal audio with the audio position information, and matching the proposal video with the video position information to generate proposal data.

[0107] S120, acquiring user habits, the user habits representing the reading state of the user.

[0108] S130, acquiring a keyword according to the user habits, and updating the proposal data based on the keyword and the to-be-proposed information.

[0109] The proposal image, the proposal audio, the proposal video, the image position information, the audio position information and the video position information are similar to those described in the rich media book proposal planning management proposal generation module 10, and will not be described in detail here.

[0110] In addition, the acquisition methods of the proposal data, the reading state and the keyword are similar to those described in the rich media book proposal planning management proposal generation module, and will not be described in detail here.

[0111] In another embodiment, updating the proposal data based on the keyword and the to-be-proposed information comprises the following steps:

[0112] S131, acquiring a viewing type based on the keyword, screening the viewing type in the format position, and judging whether the corresponding information is screened.

[0113] S132, if the corresponding information is screened, marking the position corresponding to the corresponding information to acquire marked information.

[0114] S133, updating the proposal data according to the marked information.

[0115] The viewing type represents the viewing mode of the user on the proposal text, whether to acquire audio information or to acquire text information, etc. The viewing type includes text, image, audio and video. The marked information is information obtained by statistically marking the acquired format position.

[0116] Updating the proposal data according to the marked information, specifically, adjusting the position corresponding to the format position with more times in the marked information to a position close to the user, which can facilitate the user to watch.

[0117] The application further discloses a storage medium which stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to realize the rich media book proposal planning management method.

[0118] The application further discloses a rich media book proposal planning management market prediction module 30.

[0119] Referring to Figure 3 The market prediction module 30 comprises a level recommendation unit 31, a sales estimation unit 32 and a data updating unit 33. The level recommendation unit 31 is connected to the data display module 20 in a network manner, the sales estimation unit 32 is connected to the data display module 20 in a network manner, the data updating unit 33 is connected to the level recommendation unit 31 in a network manner and connected to the sales estimation unit 32 in a network manner.

[0120] The data updating unit 33 is configured to periodically acquire market sales information, acquire an actual sales quantity according to the market sales information, and update a preset database based on the actual sales quantity.

[0121] The level recommendation unit 31 is configured to periodically acquire corresponding matching texts in the updated preset database according to the proposal text, take a level value corresponding to the matching text as a level recommendation corresponding to the proposal text, and send the level recommendation to the data display module 20.

[0122] The sales estimation unit 32 is configured to acquire an offline sales quantity and receive the matching texts acquired by the level recommendation unit 31, acquire sales estimation according to the offline sales quantity and actual sales data corresponding to the matching texts, and send the sales estimation to the data display module 20.

[0123] The market sales information represents a sales situation corresponding to the matching texts, and the market sales information comprises an offline sales quantity and an online reading quantity, etc. The offline sales quantity represents paper sales data corresponding to the matching texts, the online reading quantity represents an electronic reading quantity corresponding to the matching texts, and the actual sales quantity represents actual sales data corresponding to the matching texts, i.e., a total sales quantity of paper and electronic sales. Here, the sales refers to the total reading quantity. It should be noted that not all the matching texts correspond to the offline sales quantity.

[0124] The preset database stores a plurality of groups of matching texts corresponding to the proposal texts and level values corresponding to the matching texts. The level values represent the popularity levels of the matching texts. The level recommendation unit 31 acquires corresponding matching texts in the updated preset database, which can timely feedback and improve the accuracy of the level recommendation acquisition.

[0125] The market selling information is acquired regularly. A fixed time can be set, for example, 7 days or 30 days, and the specific case is analyzed specifically. When the data difference is large, the time can be set shorter. If the short-term data difference is not large, the time can be set longer. The specific acquisition method can be that the data updating unit 33 extracts in the preset database, and the preset database stores the selling data of each matching text. The specific storage method can be manually input.

[0126] The actual selling quantity represents the real-time selling quantity of the matching text. The actual selling quantity is acquired according to the market selling information. The preset database is updated based on the actual selling quantity. The prediction model is continuously optimized according to the new market data and feedback. The preset database is updated in real time, thereby ensuring the timeliness and accuracy of the prediction result.

[0127] The application also discloses a rich media book proposal planning management method.

[0128] Referring to Figure 3 and Figure 4 , the rich media book proposal planning management method is used for the market prediction module 30, and includes the following steps:

[0129] S300, the market selling information is acquired regularly, the actual selling quantity is acquired according to the market selling information, and the preset database is updated based on the actual selling quantity.

[0130] S400, the corresponding matching text is acquired in the updated preset database according to the proposal text, and the grade value corresponding to the matching text is taken as the grade recommendation corresponding to the proposal text.

[0131] S500, the offline sales quantity and the matching text acquired by the grade recommendation unit are acquired, and the sales estimation is acquired according to the offline sales quantity and the actual sales data corresponding to the matching text.

[0132] The preset database includes the matching text and the grade value corresponding to the matching text, and the grade value represents the popularity grade of the matching text. The offline sales quantity, the online reading quantity, the market selling information and the actual selling quantity are similar to the market prediction module 30 of the rich media book proposal planning management. The acquisition methods of acquiring the corresponding matching text in the updated preset database according to the proposal text, acquiring the market selling information regularly and updating the preset database based on the actual selling quantity are also similar to the market prediction module 30 of the rich media book proposal planning management. Therefore, they will not be described here.

[0133] In another embodiment, the sales estimation is acquired according to the offline sales quantity and the actual sales data corresponding to the matching text, including the following steps:

[0134] S610, obtaining a matching index according to the proposal text and the matching text in a preset database.

[0135] S620, obtaining a sales estimation according to the first offline quantity, the matching index and the actual sales quantity.

[0136] 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 of the proposal text and the matching text. The matching level can be set according to the percentage.

[0137] According to the first offline quantity, the matching index and the actual sales quantity, the sales estimation is obtained. The first offline quantity and the actual sales quantity can be converted according to the matching index. The ratio of the first offline quantity to the actual sales quantity is taken as a calculation index, and the actual index represents the sales estimation ratio of the actual proposal text. The calculation index and the determination index are compared in size. The determination index includes the first determination index and the second determination index, which can be set according to the specific situation. If the calculation index is less than the first determination index, the product of the actual sales quantity and the matching index is directly taken as the sales estimation. If the calculation index is higher than the first determination index and lower than the second determination index, the actual index is obtained according to the matching index and the calculation index, and the product of the actual sales quantity and the actual index is taken as the sales estimation. If the calculation index is higher than the second determination index, the sales estimation is obtained according to the proposal estimation curve.

[0138] For example, 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, the sales estimation is A, the first determination index is set to 20%, and the second determination index is set to 50%. If b is less than 20%, A is y*a. If b is greater than or equal to 20% and less than 50%, A is y*a / (a+b).

[0139] It should be noted that if the calculation index is higher than the second determination index, the sales estimation is obtained according to the proposal estimation curve. The proposal estimation curve represents the data curve of the offline sales of the proposal text, which is obtained by continuously optimizing the prediction model according to new market data and feedback. It is mainly a curve obtained by data fitting using historical sales data. The curve is mainly fitted according to the historical sales month and the historical sales quantity.

[0140] The embodiment of the present application further discloses a storage medium, which stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to realize the rich media book proposal planning management method.

[0141] It should be understood that although the steps in the flowchart of the drawings are shown in sequence according to the direction of the arrows, the steps are not necessarily executed in sequence according to the direction of the arrows. Unless explicitly stated herein, the execution of the steps is not strictly limited in sequence, and can be executed in other sequences.

[0142] The above are preferred embodiments of the present application, which do not limit the protection scope of the present application, therefore: any equivalent changes made on the structure, shape, 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, The application relates to a proposal generation system, which comprises the following parts: a proposal generation module for obtaining to-be-proposed information, wherein the to-be-proposed information comprises a proposal text, the proposal generation module obtains a corresponding template type according to the proposal text, the template type comprises a plurality of sets of format positions, and the to-be-proposed information is arranged according to the format positions to generate proposal data, the to-be-proposed information further comprises a proposal image, a proposal audio and a proposal video, the format positions comprise image position information, audio position information and video position information, and the proposal generation module comprises a format generation unit and a format correction unit; the format generation unit obtains a corresponding template type according to a proposal text, the template type comprises a plurality of sets of format positions, and the proposal image is matched with the image position information, the proposal audio is matched with the audio position information, and the proposal video is matched with the video position information to generate proposal data; the format correction unit is used for obtaining user habits, the user habits represent the reading state of a user, a keyword is obtained according to the user habits, and the proposal data is updated based on the keyword and the to-be-proposed information; a data display module, which is connected with the proposal generation module in a network mode to receive and store the proposal data, is used for marking the proposal data according to time to obtain marked data, and is used for displaying a plurality of sets of the marked data in a list form; a market prediction module, which is connected with the proposal generation module and the data display module in a network mode, is used for obtaining the proposal text sent by the proposal generation module, obtaining corresponding grade recommendation and sales estimation in a preset database according to the proposal text, and sending the grade recommendation and the sales estimation to the data display module, the data display module is used for displaying the grade recommendation and the sales estimation on a display window, and the market prediction module comprises a grade recommendation unit, a sales estimation unit and a data updating unit, the grade recommendation unit is connected with the data display module in a network mode, the sales estimation unit is connected with the data display module in a network mode, and the data updating unit is connected with the grade recommendation unit and the sales estimation unit in a network mode; the data updating unit is used for regularly obtaining market sales information, obtaining an actual sales quantity according to the market sales information, and updating a preset database based on the actual sales quantity, the preset database stores a plurality of sets 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 actual sales data corresponding to the matching texts; the grade recommendation unit is used for regularly obtaining a corresponding matching text in the updated preset database according to the proposal text, taking the grade value corresponding to the matching text as the grade recommendation corresponding to the proposal text, and sending the grade recommendation to the data display module. The sales estimation unit is configured to acquire the offline sales quantity and receive the matching text acquired by the level recommendation unit, and acquire sales estimation according to the offline sales quantity and the actual sales data corresponding to the matching text, and send the sales estimation to the data display module.

2. The rich media book proposal development management system of claim 1, wherein, The data display module comprises a proposal display unit, a data storage unit and a proposal decision unit, the data storage unit is in network connection with the proposal generation module, the proposal decision unit is in network connection with the data storage unit, and the proposal decision unit is in network connection with the proposal display unit; The data storage unit is configured to receive the proposal data sent by the proposal generation module and store the proposal data, and the data storage unit is also configured to store the proposal data in chronological order to generate the mark data; The proposal display unit is configured to receive the mark data sent by the data storage unit, and acquire the review data arranged in review order according to the mark data; The proposal decision unit is configured to receive the review data and review the review data in review order.

3. The rich media book proposal development management system of claim 2, wherein, The data display module further comprises a text guidance unit, which is in network connection with the proposal decision unit to receive the review data, and the text guidance unit is configured to modify the text of the review data.

4. The rich media book proposal development management system of claim 1, wherein, The proposal data is updated based on the keyword and the information to be proposed, specifically including: Based on the keyword, the viewing type is acquired, and the viewing type is filtered in the format position, and it is judged whether the corresponding information is filtered; If the corresponding information is filtered, the position corresponding to the corresponding information is marked to obtain marked information; The proposal data is updated according to the marked information.

5. The rich media book proposal development management system of claim 1, wherein, The offline sales quantity comprises 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 estimation is acquired according to the offline sales quantity and the actual sales data corresponding to the matching text, specifically including: According to the proposal text and the matching text, a matching index is acquired in a preset database, the matching index represents the matching level of the proposal text and the matching text; According to the first offline quantity, the matching index and the actual sales quantity, the sales estimation is acquired.

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