A digital work promotion method and system based on big data

By analyzing digital works on each floor of the library using big data technology and utilizing users' historical reading data, combined with mobile signal positioning, the library has been able to promote digital works that users are interested in, solving the problem of targeted promotion in existing technologies. Users can now access information about works that interest them.

CN114943027BActive Publication Date: 2025-12-09SHANGHAI QINLIAN INTERNET OF THINGS CO LTD
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Patent Information

Application Number
CN202210446270.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-04-26
Publication Date
2025-12-09
Estimated Expiration
2042-04-26

AI Technical Summary

Technical Problem

Existing methods for promoting digital works can only promote books based on their popularity, and cannot be tailored to users' reading interests, resulting in users not being able to learn about works that they are truly interested in.

Method used

By using big data technology to statistically analyze the digital works on each floor of the library, obtaining users' historical reading data and mobile connection signal characteristics, the library can locate and recommend library floors, and display recommended digital works.

Benefits of technology

It enables targeted promotion based on user interests, allowing users to access information about works they are interested in.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the present application relates to the technical field of work promotion, and specifically discloses a digital work promotion method and system based on big data. The embodiment of the present application acquires the mobile signal features of the mobile connection signal of a user and performs signal positioning, when at the entrance of a library, recommends the floor of the library and the promotion and display of digital works, and when recommending the floor of the library, recommends the location of the digital works. After obtaining the data acquisition authorization and work promotion authorization of the user, the floor of the library and the digital works are recommended according to the historical reading data of the user, the recommended floor of the library and the recommended digital works are obtained, and the signal positioning is performed according to the mobile signal features of the mobile connection signal of the user, when at the entrance of the library and the recommended floor of the library, different promotion and display and guidance are performed on the user, so that the targeted promotion of the digital works of the user is realized, and the user can obtain the promotion information of the works that are really interesting.
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Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of work promotion, and particularly relates to a digital work promotion method and system based on big data. BACKGROUND

[0002] A digital work is a way of digitally storing a paper book work. In a library, a digital work is usually used to promote the content of a corresponding paper book work. After a user briefly understands the content through the digital work, the user can go to the library to find and borrow the paper book work that the user wants to read.

[0003] Existing digital work promotion can only promote works according to the popularity of the works. This promotion method is relatively single and cannot promote works according to the reading interests of users, so that many users cannot understand the promotion information of works that the users are really interested in. SUMMARY

[0004] The purpose of the embodiments of the present application is to provide a digital work promotion method and system based on big data, which aims to solve the problems proposed in the background art.

[0005] To achieve the above-mentioned purpose, the embodiments of the present application provide the following technical solutions.

[0006] A digital work promotion method based on big data, the method specifically comprising the following steps:

[0007] Based on big data technology, the digital works on each floor of the library are counted and analyzed to obtain a plurality of floor digital work libraries and corresponding floor work tag sets;

[0008] Obtain the data acquisition authorization and work promotion authorization of the user;

[0009] According to the data acquisition authorization, obtain the historical reading data of the user, and analyze the historical reading data to obtain a historical reading tag set;

[0010] According to the historical reading tag set and a plurality of floor work tag sets, recommend a library floor to obtain a recommended library floor, and according to the historical reading tag set and the corresponding floor digital work library of the recommended library floor, recommend a digital work to obtain a recommended digital work;

[0011] According to the work promotion authorization, obtain the mobile signal features of the mobile connection signal of the user and perform signal positioning. When the user is at the entrance of the library, guide the user to the recommended library floor and promote and display the recommended digital work. When the user is at the recommended library floor, guide the user to the position of the recommended digital work.

[0012] As a further limitation of the technical scheme of the embodiment of the present application, the step of counting and analyzing the digital works of each floor of the library based on the big data technology to obtain a plurality of floor digital work libraries and corresponding floor work tag sets comprises the following steps:

[0013] Counting the digital works of each floor of the library based on the big data technology to obtain a plurality of floor digital work libraries;

[0014] Performing tag analysis on the floor digital work library to obtain a plurality of digital work tags;

[0015] Counting the digital work tags of the plurality of floor digital work libraries to obtain a plurality of floor work tag sets.

[0016] As a further limitation of the technical scheme of the embodiment of the present application, the step of obtaining the data acquisition authorization and the work promotion authorization of the user comprises the following steps:

[0017] Sending a data acquisition application and a work promotion application to the mobile terminal of the user;

[0018] When the user's mobile terminal agrees to the data acquisition application and the work promotion application, receiving an application feedback signal sent by the mobile terminal;

[0019] Obtaining the data acquisition authorization and the work promotion authorization of the user according to the application feedback signal.

[0020] As a further limitation of the technical scheme of the embodiment of the present application, the step of obtaining the historical reading data of the user according to the data acquisition authorization and analyzing the historical reading data to obtain a historical reading tag set comprises the following steps:

[0021] Obtaining the historical reading data of the user according to the data acquisition authorization;

[0022] Performing tag analysis on the historical reading data to obtain a plurality of reading book tags;

[0023] Analyzing and counting the plurality of reading book tags to obtain a historical reading tag set.

[0024] As a further limitation of the technical scheme of the embodiment of the present application, the step of recommending the floor of the library according to the historical reading tag set and the plurality of floor work tag sets to obtain a recommended library floor, and recommending the digital works according to the historical reading tag set and the corresponding floor digital work library of the recommended library floor to obtain recommended digital works comprises the following steps:

[0025] Performing tag matching according to the historical reading tag set and the plurality of floor work tag sets, and marking the floor work tag set containing the historical reading tag set as a coincident tag set;

[0026] marking the library floor corresponding to the set of coincidence tags as a recommended library floor;

[0027] marking the digital work library corresponding to the recommended library floor as a recommended work library;

[0028] performing digital work recommendation according to the set of historical reading tags and the recommended work library, to obtain recommended digital works and recommended work positions.

[0029] As a further limitation of the technical solutions of the embodiments of the present application, according to the work promotion authorization, the mobile signal characteristics of the mobile connection signal of the user are obtained and signal positioning is performed, when the mobile signal position is at the library entrance, the user is guided to the recommended library floor and recommended digital work promotion display, and when the mobile signal position is at the recommended library floor, the user is guided to the recommended digital work position according to the recommended work position.

[0030] According to the work promotion authorization, the mobile signal characteristics of the mobile connection signal of the user are obtained;

[0031] According to the mobile signal characteristics, signal positioning is performed to obtain the mobile signal position;

[0032] When the mobile signal position is at the library entrance, the user is guided to the recommended library floor and recommended digital work promotion display;

[0033] When the mobile signal position is at the recommended library floor, the user is guided to the recommended digital work position according to the recommended work position.

[0034] A digital work promotion system based on big data, the system comprising a floor work analysis and statistics unit, a user authorization acquisition unit, a historical data acquisition and analysis unit, a floor work recommendation unit and a signal positioning and promotion guidance unit, wherein:

[0035] The floor work analysis and statistics unit is used for statistically analyzing the digital works of each floor of the library based on big data technology, to obtain a plurality of floor digital work libraries and corresponding floor work tag sets;

[0036] The user authorization acquisition unit is used for acquiring the data acquisition authorization and work promotion authorization of the user;

[0037] The historical data acquisition and analysis unit is used for acquiring the historical reading data of the user according to the data acquisition authorization, and analyzing the historical reading data to obtain a set of historical reading tags;

[0038] The floor work recommendation unit is configured to recommend a library floor according to the historical reading tag set and the plurality of floor work tag sets, to obtain a recommended library floor, and to recommend a digital work according to the historical reading tag set and a digital work library corresponding to the recommended library floor, to obtain a recommended digital work.

[0039] The signal positioning and promotion guide unit is configured to acquire mobile signal features of a mobile connection signal of the user according to the work promotion authorization, and to perform signal positioning, to guide the user to the recommended library floor and to promote and display the recommended digital work at the library entrance, and to guide the user to the position of the recommended digital work at the recommended library floor.

[0040] As a further limitation of the technical scheme of the embodiment of the present application, the historical data acquisition and analysis unit specifically comprises:

[0041] The historical reading data acquisition module is configured to acquire historical reading data of the user according to the data acquisition authorization.

[0042] The historical data tag analysis module is configured to perform tag analysis on the historical reading data, to obtain a plurality of reading book tags.

[0043] The book tag analysis and statistics module is configured to analyze and count the plurality of reading book tags, to obtain a historical reading tag set.

[0044] As a further limitation of the technical scheme of the embodiment of the present application, the floor work recommendation unit specifically comprises:

[0045] The floor tag matching module is configured to perform tag matching according to the historical reading tag set and the plurality of floor work tag sets, to mark a floor work tag set containing the historical reading tag set as a coincident tag set.

[0046] The library floor marking module is configured to mark a library floor corresponding to the coincident tag set as a recommended library floor.

[0047] The digital work library marking module is configured to mark a floor digital work library corresponding to the recommended library floor as a recommended work library.

[0048] The digital work recommendation module is configured to recommend a digital work according to the historical reading tag set and the recommended work library, to obtain a recommended digital work and a recommended work position.

[0049] As a further limitation of the technical scheme of the embodiment of the present application, the signal positioning and promotion guide unit specifically comprises:

[0050] The signal feature acquisition module is configured to acquire mobile signal features of a mobile connection signal of the user according to the work promotion authorization.

[0051] a mobile signal positioning module, configured to perform signal positioning according to the mobile signal features to obtain a mobile signal position;

[0052] a floor guidance recommendation module, configured to recommend a library floor guidance and recommend a digital work promotion display for the user when the mobile signal position is located at a library entrance;

[0053] a work position guidance module, configured to recommend a digital work position guidance for the user according to the recommended work position when the mobile signal position is located at a recommended library floor.

[0054] Compared with the prior art, the method has the beneficial effects that:

[0055] The embodiment of the present application can recommend a library floor and a digital work for a user according to historical reading data of the user after obtaining data acquisition authorization and work promotion authorization of the user, and can perform signal positioning according to mobile signal features of a mobile connection signal of the user, recommend a library floor guidance and recommend a digital work promotion display for the user when the user is at a library entrance, and recommend a digital work position guidance for the user when the user is at a recommended library floor, so that the user can obtain promotion information of a work that the user is really interested in. BRIEF DESCRIPTION OF DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application.

[0057] Figure 1 A flowchart of the method provided by the embodiment of the present application is shown.

[0058] Figure 2 A flowchart of digital work statistical analysis in the method provided by the embodiment of the present application is shown.

[0059] Figure 3 A flowchart of obtaining user authorization in the method provided by the embodiment of the present application is shown.

[0060] Figure 4 A flowchart of historical reading data acquisition analysis in the method provided by the embodiment of the present application is shown.

[0061] Figure 5 A flowchart of library floor and work recommendation in the method provided by the embodiment of the present application is shown.

[0062] Figure 6 A flow chart of signal positioning and promotion guidance in the method provided by the embodiment of the application is shown.

[0063] Figure 7 An application architecture diagram of the system provided by the embodiment of the application is shown.

[0064] Figure 8 A structural block diagram of a historical data acquisition and analysis unit in the system provided by the embodiment of the application is shown.

[0065] Figure 9 A structural block diagram of a floor work recommendation unit in the system provided by the embodiment of the application is shown.

[0066] Figure 10 A structural block diagram of a signal positioning and promotion guidance unit in the system provided by the embodiment of the application is shown. DETAILED DESCRIPTION

[0067] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0068] It can be understood that the existing digital work promotion can only be promoted according to the popularity of the book. This promotion method is relatively single and cannot be targeted according to the reading interest of the user, resulting in that many users cannot understand the promotion information of the works that they are really interested in.

[0069] To solve the above problems, the embodiment of the present application acquires the mobile signal characteristics of the mobile connection signal of the user and performs signal positioning, recommends the floor guide of the library and promotes the display of the digital work at the entrance of the library, and recommends the location guide of the digital work when recommending the floor of the library. After obtaining the data acquisition authorization and work promotion authorization of the user, the floor of the library and the digital work are recommended according to the historical reading data of the user, the recommended floor of the library and the recommended digital work are obtained, and the signal positioning is performed according to the mobile signal characteristics of the mobile connection signal of the user. When the user is at the entrance of the library and the recommended floor of the library, different promotion displays and guides are performed on the user, so as to realize the targeted promotion of the digital work of the user and enable the user to obtain the promotion information of the works that they are really interested in.

[0070] Figure 1 A flow chart of the method provided by the embodiment of the present application is shown.

[0071] Specifically, a digital work promotion method based on big data, characterized in that the method specifically comprises the following steps:

[0072] In step S101, based on big data technology, the digital works of each floor of the library are respectively counted and analyzed to obtain a plurality of floor digital work libraries and corresponding floor work tag sets.

[0073] In the embodiment of the application, based on big data technology, the digital works corresponding to the paper works of each floor of the library are obtained, the digital works of each floor of the library are counted respectively to obtain a plurality of floor digital work libraries, and tag analysis is performed on each floor digital work library to obtain a plurality of digital work tags, and the plurality of digital work tags of each floor digital work library are counted and sorted to obtain a floor work tag set.

[0074] Specifically, Figure 2 A flowchart of digital work counting and analysis in the method provided by the embodiment of the application is shown.

[0075] In the preferred embodiment provided by the application, the counting and analysis of the digital works of each floor of the library based on big data technology to obtain a plurality of floor digital work libraries and corresponding floor work tag sets specifically includes the following steps:

[0076] In step S1011, based on big data technology, the digital works of each floor of the library are counted respectively to obtain a plurality of floor digital work libraries.

[0077] In step S1012, tag analysis is performed on the floor digital work library to obtain a plurality of digital work tags.

[0078] In step S1013, the digital work tags of the plurality of floor digital work libraries are counted to obtain a plurality of floor work tag sets.

[0079] Further, the big data-based digital work promotion method further includes the following steps:

[0080] In step S102, the data acquisition authorization and work promotion authorization of the user are obtained.

[0081] In the embodiment of the application, when the user registers as a library member through a mobile terminal, a data acquisition application and a work promotion application are sent to the mobile terminal of the user, and when the user accepts the data acquisition application and the work promotion application, the user can send an application feedback signal through the mobile terminal, and the data acquisition authorization and the work promotion authorization of the user are obtained by receiving the application feedback signal sent by the mobile terminal of the user.

[0082] It can be understood that when the user registers as a library member through the mobile terminal, the data acquisition application and the work promotion application are displayed in the form of a pop-up window on the member registration interface, and two virtual keys of "agree" and "reject" are displayed on the pop-up window, and after the user clicks the "agree" virtual key, an application feedback signal is generated and sent through the mobile terminal.

[0083] Specifically, Figure 3 A flowchart of the process of obtaining user authorization in the method provided by the embodiment of the application is shown.

[0084] In the preferred embodiment provided by the application, the obtaining of the data acquisition authorization and the work promotion authorization of the user specifically includes the following steps:

[0085] Step S1021, sending the data acquisition application and the work promotion application to the mobile terminal of the user.

[0086] Step S1022, when the user's mobile terminal agrees to the data acquisition application and the work promotion application, receiving the application feedback signal sent by the mobile terminal.

[0087] Step S1023, obtaining the data acquisition authorization and the work promotion authorization of the user according to the application feedback signal.

[0088] Further, the digital work promotion method based on big data further includes the following steps:

[0089] Step S103, obtaining the historical reading data of the user according to the data acquisition authorization, and analyzing the historical reading data to obtain a historical reading label set.

[0090] In the embodiment of the application, after obtaining the data acquisition authorization of the user, the historical reading data of the user can be directly accessed, and after obtaining the historical reading data, each historical reading work in the historical reading data is analyzed by a label to obtain a plurality of reading book labels, the plurality of reading book labels are classified and counted, the reading book labels with a proportion less than 10% are screened out, and the reading book labels with a proportion more than 10% are retained, and a historical reading label set reflecting the plurality of reading book labels with a proportion more than 10% and the proportion thereof is generated.

[0091] It can be understood that the historical reading data can be online reading records of digital work reading by the user through the mobile terminal and book purchase records of book purchase reading, and a plurality of reading book labels are obtained by analyzing each work in the online reading records and the book purchase records by a label.

[0092] Specifically, Figure 4 A flowchart of the process of obtaining and analyzing the historical reading data in the method provided by the embodiment of the application is shown.

[0093] In the preferred embodiment provided by the present application, the obtaining of the historical reading data of the user according to the data acquisition authorization and the analysis of the historical reading data to obtain the historical reading label set specifically include the following steps:

[0094] Step S1031, obtaining the historical reading data of the user according to the data acquisition authorization.

[0095] Step S1032, performing label analysis on the historical reading data to obtain a plurality of reading book labels.

[0096] Step S1033, performing analysis and statistics on the plurality of reading book labels to obtain a historical reading label set.

[0097] Further, the digital work promotion method based on big data further includes the following steps:

[0098] Step S104, performing library floor recommendation according to the historical reading label set and a plurality of floor work label sets to obtain a recommended library floor, and performing digital work recommendation on a floor digital work library corresponding to the historical reading label set and the recommended library floor to obtain a recommended digital work.

[0099] In the embodiment of the present application, the historical reading label set and the plurality of floor work label sets are matched by label matching, and a floor work label set that can contain all reading book labels in the historical reading label set is matched out, and the floor work label set is marked as a coincident label set, the library floor corresponding to the coincident label set is marked as a recommended library floor, the floor digital work library corresponding to the coincident label set is marked as a recommended work library, and digital work recommendation is performed on the floor digital work library according to the historical reading label set to obtain a recommended digital work.

[0100] It can be understood that when performing digital work recommendation, the floor digital work library is screened according to the reading book label with the highest proportion in the historical reading label set to obtain a first work recommendation screening library, the first work recommendation screening library is screened according to the reading book label with the second highest proportion in the historical reading label set to obtain a second work recommendation screening library, and the recommendation screening is gradually performed according to this method, and finally a recommended digital work is obtained, and it is ensured that the recommended digital work is not in the historical reading data of the user.

[0101] Specifically, Figure 5 A flowchart of the library floor and work recommendation in the method provided by the embodiment of the present application is shown.

[0102] In the preferred embodiment provided by the present application, the library floor recommendation according to the historical reading tag set and the plurality of floor work tag sets obtains a recommended library floor, and the digital work recommendation according to the historical reading tag set and the digital work library corresponding to the recommended library floor obtains a recommended digital work, which specifically includes the following steps:

[0103] In step S1041, the tag matching is performed according to the historical reading tag set and the plurality of floor work tag sets, and the floor work tag set containing the historical reading tag set is marked as a coincident tag set.

[0104] In step S1042, the library floor corresponding to the coincident tag set is marked as a recommended library floor.

[0105] In step S1043, the digital work library corresponding to the recommended library floor is marked as a recommended work library.

[0106] In step S1044, the digital work recommendation is performed according to the historical reading tag set and the recommended work library, and a recommended digital work and a recommended work position are obtained.

[0107] Further, the digital work promotion method based on big data further includes the following steps:

[0108] In step S105, the mobile signal feature of the mobile connection signal of the user's mobile terminal is obtained according to the work promotion authorization, and the signal positioning is performed, the recommended library floor guidance and the recommended digital work promotion display are performed on the user at the library entrance, and the recommended digital work position guidance is performed on the user at the recommended library floor.

[0109] In the embodiment of the present application, by obtaining the work promotion authorization of the user, the mobile signal feature of the mobile connection signal of the mobile terminal of the user is obtained, the signal positioning is performed on the mobile terminal of the user according to the mobile signal feature, the position of the user is judged, the recommended digital work promotion display is performed on the user when the user is at the library entrance, the user can understand the general information of the recommended digital work through the promotion display, and the library floor where the paper work corresponding to the recommended digital work is located is guided, if the user is interested in the recommended digital work, the user can go to the corresponding recommended library floor to borrow the paper book, and when the user arrives at the recommended library floor, the user is guided to the specific position of the paper work corresponding to the recommended digital work in the floor.

[0110] It can be understood that the mobile connection signal of the mobile terminal of the user can be a Bluetooth connection signal. The promotion display of the recommended digital work and the position and floor guidance of the paper work corresponding to the recommended digital work can be performed through the electronic screen at the library entrance and each library floor.

[0111] Specifically, Figure 6 A flow chart of signal positioning and popularization guidance in the method provided by the embodiment of the application is shown.

[0112] In the preferred embodiment provided by the application, the method of recommending a library floor guide and recommending a digital work popularization display to the user when the mobile signal position is at the library entrance, and the method of recommending a digital work position guide to the user when the mobile signal position is at the recommended library floor, specifically include the following steps:

[0113] Step S1051, acquiring the mobile signal features of the mobile connection signal of the user according to the work popularization authorization.

[0114] Step S1052, performing signal positioning according to the mobile signal features to obtain a mobile signal position.

[0115] Step S1053, recommending a library floor guide and recommending a digital work popularization display to the user when the mobile signal position is at the library entrance.

[0116] Step S1054, recommending a digital work position guide to the user according to the recommended work position when the mobile signal position is at the recommended library floor.

[0117] Further, Figure 7 An application architecture diagram of the system provided by the embodiment of the application is shown.

[0118] In another preferred embodiment provided by the application, a digital work popularization system based on big data includes:

[0119] The floor work analysis and statistics unit 101 is configured to statistically analyze the digital works on each floor of the library based on big data technology to obtain a plurality of floor digital work libraries and corresponding floor work tag sets.

[0120] In the embodiment of the application, the floor work analysis and statistics unit 101 acquires the digital works corresponding to the paper works on each floor of the library based on big data technology, statistically analyzes the digital works on each floor of the library, obtains a plurality of floor digital work libraries, performs tag analysis on each floor digital work library to obtain a plurality of digital work tags, and statistically organizes the plurality of digital work tags of each digital work library to obtain a floor work tag set.

[0121] The user authorization acquisition unit 102 is configured to acquire the data acquisition authorization and work popularization authorization of the user.

[0122] In the embodiment of the present application, when a user registers as a library member through a mobile terminal, the user authorization obtaining unit 102 sends a data obtaining application and a work promotion application to the user's mobile terminal, and when the user accepts the data obtaining application and the work promotion application, the user can send an application feedback signal through the mobile terminal. The user authorization obtaining unit 102 obtains the user's data obtaining authorization and work promotion authorization by receiving the application feedback signal sent by the user's mobile terminal.

[0123] The historical data obtaining and analyzing unit 103 is configured to obtain historical reading data of the user according to the data obtaining authorization, and analyze the historical reading data to obtain a historical reading label set.

[0124] In the embodiment of the present application, after obtaining the data obtaining authorization of the user, the historical data obtaining and analyzing unit 103 can directly access the historical reading data of the user. After obtaining the historical reading data, the historical reading data of each historical reading work is analyzed by label analysis to obtain a plurality of reading book labels. The plurality of reading book labels are classified and counted, and the reading book labels with a proportion less than 10% are screened out, and the reading book labels with a proportion more than 10% are retained to generate a historical reading label set reflecting the plurality of reading book labels with a proportion more than 10% and the proportion thereof.

[0125] Specifically, Figure 8 The structure block diagram of the historical data obtaining and analyzing unit 103 in the system provided by the embodiment of the present application is shown.

[0126] In the preferred embodiment provided by the present application, the historical data obtaining and analyzing unit 103 specifically comprises:

[0127] The historical reading data obtaining module 1031 is configured to obtain the historical reading data of the user according to the data obtaining authorization.

[0128] The historical data label analysis module 1032 is configured to analyze the historical reading data by label analysis to obtain a plurality of reading book labels.

[0129] The book label analysis and statistics module 1033 is configured to analyze and count the plurality of reading book labels to obtain a historical reading label set.

[0130] Further, the digital work promotion system based on big data further comprises:

[0131] The floor work recommendation unit 104 is configured to recommend a library floor according to the historical reading label set and a plurality of floor work label sets to obtain a recommended library floor, and recommend a digital work according to the historical reading label set and a floor digital work library corresponding to the recommended library floor to obtain a recommended digital work.

[0132] In the embodiment of the present application, the floor work recommendation unit 104 performs tag matching on the historical reading tag set and the plurality of floor work tag sets, matches the floor work tag set that can contain all reading book tags in the historical reading tag set, marks the floor work tag set as the coincident tag set, marks the library floor corresponding to the coincident tag set as the recommended library floor, marks the floor digital work library corresponding to the coincident tag set as the recommended work library, and performs digital work recommendation in the floor digital work library according to the historical reading tag set to obtain the recommended digital work.

[0133] Specifically, Figure 9 The structural block diagram of the floor work recommendation unit 104 in the system provided by the embodiment of the present application is shown.

[0134] In the preferred embodiment provided by the present application, the floor work recommendation unit 104 specifically includes:

[0135] The floor tag matching module 1041 is configured to perform tag matching according to the historical reading tag set and the plurality of floor work tag sets, and mark the floor work tag set containing the historical reading tag set as the coincident tag set.

[0136] The library floor marking module 1042 is configured to mark the library floor corresponding to the coincident tag set as the recommended library floor.

[0137] The digital work library marking module 1043 is configured to mark the floor digital work library corresponding to the recommended library floor as the recommended work library.

[0138] The digital work recommendation module 1044 is configured to perform digital work recommendation according to the historical reading tag set and the recommended work library to obtain the recommended digital work and the recommended work position.

[0139] Further, the digital work promotion system based on big data further includes:

[0140] The signal positioning promotion guide unit 105 is configured to acquire the mobile signal characteristics of the mobile connection signal of the user according to the work promotion authorization and perform signal positioning, guide the user to the recommended library floor and promote the display of the recommended digital work at the library entrance, and guide the user to the recommended digital work position when the user is at the recommended library floor.

[0141] In the embodiment of the present application, by acquiring the work promotion authorization of the user, the signal positioning promotion guiding unit 105 obtains the mobile signal characteristics of the mobile connection signal of the mobile terminal of the user, performs signal positioning on the mobile terminal of the user according to the mobile signal characteristics, judges the position of the user, recommends the promotion display of the digital work to the user when the user is at the entrance of the library, facilitates the user to understand the approximate information of the recommended digital work through the promotion display, and guides the floor of the library where the paper work corresponding to the recommended digital work is located. If the user is interested in the recommended digital work, the user can go to the corresponding recommended library floor to borrow the paper book. When the user arrives at the recommended library floor, the user is guided to the specific position of the paper work corresponding to the recommended digital work on the floor.

[0142] Specifically, Figure 10 The structural block diagram of the signal positioning promotion guiding unit 105 in the system provided by the embodiment of the present application is shown.

[0143] In the preferred embodiment provided by the present application, the signal positioning promotion guiding unit 105 specifically comprises:

[0144] The signal characteristic acquisition module 1051 is configured to acquire the mobile signal characteristics of the mobile connection signal of the user according to the work promotion authorization.

[0145] The mobile signal positioning module 1052 is configured to perform signal positioning according to the mobile signal characteristics to obtain the mobile signal position.

[0146] The floor guiding promotion module 1053 is configured to guide the user to the recommended library floor and promote the display of the recommended digital work when the mobile signal position is at the entrance of the library.

[0147] The work position guiding module 1054 is configured to guide the user to the position of the recommended digital work according to the position of the recommended work when the mobile signal position is at the recommended library floor.

[0148] In summary, after acquiring the data acquisition authorization and the work promotion authorization of the user, the embodiment of the present application can recommend the library floor and the digital work according to the historical reading data of the user, obtain the recommended library floor and the recommended digital work, and perform signal positioning according to the mobile signal characteristics of the mobile connection signal of the user. When the user is at the entrance of the library and the recommended library floor, the user is promoted and guided in different ways, so as to realize the targeted promotion of the digital work to the user, and make the user obtain the promotion information of the work that the user is really interested in.

[0149] It should be understood that, although the steps in the flowcharts of the embodiments of the present application are shown in a certain order according to the arrows, the steps are not necessarily executed in the order of the arrows. Unless otherwise specified herein, the execution of the steps is not strictly limited in order, and the steps can be executed in other orders. Moreover, at least some of the steps in the embodiments can include a plurality of sub-steps or a plurality of stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of the sub-steps or stages is not necessarily sequential, but can be round-robin or alternately executed with at least some of the other steps or sub-steps or stages of the other steps.

[0150] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware, and the program can be stored in a non-volatile computer readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments of the methods. Any reference to memory, storage, database or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0151] The technical features of the above-mentioned embodiments can be combined in any way. In order to make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described, but as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0152] The above embodiments only express several implementation manners of the present application, which are described in a more specific and detailed manner, but should not be understood as a limitation on the patent scope of the present application. It should be noted that, for ordinary skilled persons in the art, several modifications and improvements can be made without departing from the concept of the present application, which are all within the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

[0153] The above merely describes the preferred embodiments of the present application and should not be used to limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A digital work promotion method based on big data, characterized in that, The method specifically comprises the following steps: Based on big data technology, the digital works of each floor of the library are counted and analyzed respectively, and a plurality of floor digital work libraries and corresponding floor work tag sets are obtained; Obtain the user's data acquisition authorization and work promotion authorization; According to the data acquisition authorization, the user's historical reading data is obtained, and the historical reading data is analyzed to obtain a historical reading tag set; According to the historical reading tag set and a plurality of floor work tag sets, the library floor is recommended, the recommended library floor is obtained, and the historical reading tag set and the corresponding floor digital work library of the recommended library floor are used for digital work recommendation to obtain recommended digital works, including: According to the historical reading tag set and a plurality of floor work tag sets, the floor work tag set containing the historical reading tag set is marked as a coincident tag set; The library floor corresponding to the coincident tag set is marked as the recommended library floor; The floor digital work library corresponding to the recommended library floor is marked as the recommended work library; According to the historical reading tag set and the recommended work library, the digital work recommendation is carried out, and the recommended digital work and the recommended work position are obtained, wherein, when the digital work recommendation is carried out, the reading book tags in the historical reading tag set are ranked according to the proportion, the highest reading book tags in the historical reading tag set are used for digital work screening of the floor digital work library to obtain a first work recommendation screening library, the second reading book tags in the historical reading tag set are used for digital work screening of the first work recommendation screening library to obtain a second work recommendation screening library, and the recommended digital work is obtained by gradually carrying out the recommendation screening in this way, and it is ensured that the recommended digital work is not in the historical reading data of the user; According to the work promotion authorization, the mobile signal characteristics of the user's mobile connection signal are obtained and signal positioning is carried out, the recommended library floor is guided and the recommended digital work is promoted and displayed when the user is at the library entrance, and the recommended digital work position is guided when the user is at the recommended library floor.

2. The big data based digital work promotion method according to claim 1, characterized in that, Based on big data technology, the digital works of each floor of the library are counted and analyzed respectively, and a plurality of floor digital work libraries and corresponding floor work tag sets are obtained, which specifically comprises the following steps: Based on big data technology, the digital works of each floor of the library are counted and analyzed respectively, and a plurality of floor digital work libraries are obtained; The floor digital work library is analyzed by tags to obtain a plurality of digital work tags; The digital work tags of a plurality of floor digital work libraries are counted to obtain a plurality of floor work tag sets. 3.The big data based digital work promotion method of claim 1, wherein, The method specifically comprises the following steps: Send data acquisition application and work promotion application to the mobile terminal of the user; When the user's mobile terminal agrees to the data acquisition application and the work promotion application, receive the application feedback signal sent by the mobile terminal; According to the application feedback signal, the data acquisition authorization and the work promotion authorization of the user are obtained. ​ 4.The big data based digital work promotion method of claim 1, wherein, The historical reading data of the user is acquired according to the data acquisition authorization, and the historical reading data is analyzed to obtain a historical reading label set, specifically including the following steps: The historical reading data of the user is acquired according to the data acquisition authorization; The historical reading data is analyzed by a label to obtain a plurality of reading book labels; The historical reading label set is obtained by analyzing and counting the plurality of reading book labels. 5.The big data based digital work promotion method of claim 1, wherein, The mobile signal features of the mobile connection signal of the user are acquired according to the work promotion authorization, and signal positioning is performed, when the mobile signal position is at the entrance of the library, the user is guided to the recommended library floor and recommended digital work promotion display, when the mobile signal position is at the recommended library floor, the user is guided to the recommended digital work position, specifically including the following steps: The mobile signal features of the mobile connection signal of the user are acquired according to the work promotion authorization; The mobile signal position is obtained by signal positioning according to the mobile signal features; When the mobile signal position is at the entrance of the library, the user is guided to the recommended library floor and recommended digital work promotion display; When the mobile signal position is at the recommended library floor, the user is guided to the recommended digital work position according to the recommended work position. 6.A digital work promotion system based on big data, characterized in that, The system includes a floor work analysis and statistics unit, a user authorization acquisition unit, a historical data acquisition and analysis unit, a floor work recommendation unit, and a signal positioning and promotion guidance unit, wherein: The floor work analysis and statistics unit is used for counting and analyzing the digital works of each floor of the library based on big data technology to obtain a plurality of floor digital work libraries and corresponding floor work label sets; The user authorization acquisition unit is used for acquiring the data acquisition authorization and work promotion authorization of the user; The historical data acquisition and analysis unit is used for acquiring the historical reading data of the user according to the data acquisition authorization, and analyzing the historical reading data to obtain a historical reading label set; The floor work recommendation unit is used for recommending the library floor according to the historical reading label set and the plurality of floor work label sets to obtain a recommended library floor, and recommending the digital work according to the historical reading label set and the corresponding floor digital work library of the recommended library floor to obtain a recommended digital work; specifically including: The floor label matching module is used for label matching according to the historical reading label set and the plurality of floor work label sets, and the floor work label set containing the historical reading label set is marked as a coincident label set; The library floor marking module is used for marking the library floor corresponding to the coincident label set as a recommended library floor; The digital work library marking module is used for marking the floor digital work library corresponding to the recommended library floor as a recommended work library; ​ The digital work recommendation module is configured to recommend digital works according to the historical reading tag set and the recommended work library, to obtain recommended digital works and recommended work positions. When the digital work recommendation is performed, the digital works are screened according to the reading book tags with the highest proportion in the historical reading tag set, to obtain a first work recommendation screening library. The digital works are screened according to the reading book tags with the second highest proportion in the historical reading tag set, to obtain a second work recommendation screening library. The screening is gradually performed according to the method, to finally obtain a recommended digital work, and the recommended digital work is ensured not to be in the historical reading data of the user. The signal positioning promotion guide unit is configured to acquire mobile signal features of a mobile connection signal of the user and perform signal positioning according to the work promotion authorization. When the mobile signal position is at a library entrance, the user is guided to a recommended library floor and recommended digital work promotion display is performed. When the mobile signal position is at a recommended library floor, the user is guided to a recommended digital work position. The historical data acquisition and analysis unit specifically includes: 7.The big data based digital work promotion system according to claim 6, wherein, A historical reading data acquisition module is configured to acquire historical reading data of the user according to the data acquisition authorization. A historical data tag analysis module is configured to analyze the historical reading data to obtain a plurality of reading book tags. A book tag analysis and statistics module is configured to analyze and count the plurality of reading book tags to obtain a historical reading tag set. The signal positioning promotion guide unit specifically includes: 8.The big data based digital work promotion system according to claim 7, wherein, A signal feature acquisition module is configured to acquire mobile signal features of a mobile connection signal of the user according to the work promotion authorization. A mobile signal positioning module is configured to perform signal positioning according to the mobile signal features to obtain a mobile signal position. A floor guide promotion module is configured to guide the user to a recommended library floor and perform recommended digital work promotion display when the mobile signal position is at a library entrance. A work position guide module is configured to guide the user to a recommended digital work position according to the recommended work position when the mobile signal position is at a recommended library floor. ​

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