CN110515929B - Book display method, computing device and storage medium - Google Patents
Book display method, computing device and storage medium Download PDFInfo
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- CN110515929B CN110515929B CN201910809976.6A CN201910809976A CN110515929B CN 110515929 B CN110515929 B CN 110515929B CN 201910809976 A CN201910809976 A CN 201910809976A CN 110515929 B CN110515929 B CN 110515929B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
Abstract
The invention discloses a book display method, a computing device and a storage medium. The method comprises the following steps: classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book; determining a target unified classification category; and presenting the electronic book information and the paper book information corresponding to the target unified classification category. According to the method and the device, the electronic book and the paper book are integrated, and the electronic book information and the paper book information matched with the user requirements can be presented according to the user requirements, so that the user operation is simplified, the operation efficiency is improved, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a book display method, a computing device and a storage medium.
Background
With the continuous development of science and technology and society, more and more people tend to acquire information, learn knowledge and know the world by reading books. At present, books read by people mainly comprise two types, one type is an electronic book, and the other type is a traditional paper book.
At present, an electronic book system and a paper book system are independent systems. For example, when a reader wants to inquire a certain book, the reader needs to inquire the paper book through a special paper book inquiry system so as to obtain an inquiry result of the paper book; when a reader wants to inquire a certain book, the reader inquires the electronic book through a special electronic book inquiry system to obtain an electronic book inquiry result.
However, in practical implementation, the inventors found the following defects in the prior art: the existing electronic book system and the paper book system are mutually independent, and a single electronic book system or paper book system cannot meet the reading requirement of a user; in addition, in the prior art, a user needs to rely on different electronic book systems and paper book systems respectively to obtain the query results of the electronic book and the paper book, so that the operation is complicated, the query efficiency of the user is reduced, and the user experience is poor.
Disclosure of Invention
In view of the above, the present invention has been made to provide a book display method, a computing device and a storage medium that overcome or at least partially solve the above-mentioned problems.
According to an aspect of the present invention, there is provided a book display method, including:
classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book;
determining a target uniform classification category;
and presenting the electronic book information and the paper book information corresponding to the target unified classification category.
According to another aspect of the present invention, there is provided a computing device comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to:
classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book;
determining a target uniform classification category;
and presenting the electronic book information and the paper book information corresponding to the target unified classification category.
According to yet another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:
classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book;
determining a target unified classification category;
and presenting the electronic book information and the paper book information corresponding to the target unified classification category.
According to the book display method, the computing equipment and the storage medium provided by the invention, firstly, at least one electronic book and at least one paper book are classified according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book; further determining a target unified classification category; and finally presenting the electronic book information and the paper book information corresponding to the target unified classification category. According to the method and the device, the electronic book and the paper book information matched with the user requirements can be presented simultaneously according to the user requirements through fusion processing of the electronic book and the paper book, so that the user operation is simplified, the operation efficiency is improved, and the user experience is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flow chart illustrating a book displaying method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a book displaying method according to another embodiment of the present invention;
fig. 3 is a flow chart illustrating a book displaying method according to another embodiment of the present invention;
fig. 4 shows a schematic structural diagram of a computing device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Example one
Fig. 1 is a flowchart illustrating a book displaying method according to an embodiment of the present invention, which may be applied to various computing devices, such as a mobile phone, a tablet, an e-book reader, a computer, a smart wearable device, and the like. As shown in fig. 1, the method comprises the steps of:
step S110, according to the unified classification standard, at least one electronic book and at least one paper book are classified to respectively determine the unified classification category corresponding to each electronic book and the unified classification category corresponding to each paper book.
In the prior art, a plurality of electronic book platforms divide the categories of electronic books in the platforms according to the classification standards of the electronic books, so that the classification standards of the electronic books corresponding to the electronic book platforms are different from the classification standards of paper books. In this embodiment, at least one electronic book and at least one paper book are classified according to a uniform classification standard, so as to determine a uniform classification category corresponding to each electronic book in the at least one electronic book and a uniform classification category corresponding to each paper book in the at least one paper book.
Optionally, in the process of classifying the electronic book and the paper book according to the uniform classification standard, in order to reduce the calculation amount of the computing device and improve the processing efficiency of the computing device in this embodiment, the step specifically includes using the paper book classification standard as the uniform classification standard (wherein the paper book classification standard may be a chinese library classification standard), so that the paper book is not required to be classified again, and the classification category of the paper book is directly used as the uniform classification category of the paper book; for the electronic books, the paper book classification category corresponding to the electronic book classification category of each electronic book can be determined according to the mapping relation between the electronic book classification standard and the paper book classification standard, and then the uniform classification category corresponding to the electronic book is determined.
Further optionally, in the process of determining the uniform classification category (i.e., the paper book classification category) corresponding to the classification category of the electronic book according to the mapping relationship between the classification standard of the electronic book and the classification standard of the paper book, one or more of the following determination manners may be adopted:
the determination method is as follows: and generating a corresponding mapping data table in advance according to the mapping relation between the electronic book classification standard and the paper book classification standard, and storing the mapping data table in a preset database, so that the uniform classification category corresponding to the electronic book can be determined directly according to the mapping data table. For example, in the mapping data table, a primary category in the category categories of the electronic book may correspond to one or more secondary categories in the paper book classification standard, so that the unified category of the electronic book may be determined quickly and accurately by querying the mapping data table. The determination method is simple and easy to implement, and the data processing amount is small.
Determining a second mode: and generating mapping relation information of the electronic book classification standard and the paper book classification standard by adopting a mode of error matching and character matching. Specifically, it is determined that a primary category in the electronic book classification categories corresponds to a secondary category in the paper book classification standard, and then one or more paper book classification category secondary categories corresponding to the electronic book classification category primary category are determined according to the character matching degree of the category names of the electronic book classification category primary category and the paper book classification category secondary category and/or category additional information (such as category introduction) so as to automatically generate the mapping relationship between the electronic book classification standard and the paper book classification standard.
Determining a third mode: and generating a mapping relation between the electronic book classification standard and the paper book classification standard by adopting a machine learning algorithm. Specifically, a machine learning model is constructed in advance, and the machine learning model may be an artificial neural network-based learning model, and the learning model may include an input layer, a link layer (the present embodiment does not limit the number of layers of a specific link layer, and the like), and an output layer. And further obtaining a training sample, wherein the training sample comprises a positive sample and a negative sample, the positive sample comprises a correct mapping relation between the e-book classification standard and the paper book classification standard, the negative sample comprises an incorrect mapping relation between the e-book classification standard and the paper book classification standard, and then inputting the training sample into the constructed learning model for training until a loss function obtained by training is smaller than a preset threshold value. And finally, identifying the new classification category of the electronic book by adopting a mechanical learning model obtained by training so as to obtain a paper classification category matched with the classification category of the electronic book. By adopting the determining mode, the mapping relation information of the electronic book classification standard and the paper book classification standard can be automatically generated without manually setting the corresponding relation between the electronic book classification category and the paper book classification category, so that the execution efficiency is improved, and the labor cost is reduced; moreover, the mapping relation between the obtained electronic book classification standard and the paper book classification standard has higher accuracy.
And step S120, determining the target unified classification category.
Whether in the process of querying books of the user or recommending books for the user, after classifying at least one electronic book and at least one paper book according to the uniform classification standard in step S110, the target uniform classification category may be determined. For example, if the user inputs the query information "science fiction", it is determined that the query information "science fiction" input by the user is a certain electronic book classification category "science fiction", a uniform classification category corresponding to the electronic book classification category is determined, and finally the determined uniform classification category is determined as a target uniform classification category corresponding to the target user.
Step S130, presenting the electronic book information and the paper book information corresponding to the target unified classification category.
After the target uniform classification category corresponding to the target user is determined, the electronic book information and the paper book information corresponding to the target uniform classification category are presented, so that the user can obtain the book information of the electronic book and the paper book matched with each other at the same time by only one operation.
Therefore, in this embodiment, at least one electronic book and at least one paper book are classified according to a uniform classification standard, so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book; further determining a target unified classification category; and finally presenting the electronic book information and the paper book information corresponding to the target unified classification category. According to the scheme, the electronic book and the paper book information matched with the user requirements can be presented simultaneously according to the user requirements through the fusion processing of the electronic book and the paper book, so that the user operation is simplified, the operation efficiency is improved, and the user experience is improved.
Example two
Fig. 2 is a schematic flow chart of a book displaying method according to another embodiment of the present invention, where the book displaying method provided in this embodiment is further optimized for the embodiment shown in fig. 1, and is specifically applied in a query scenario of a user for a book.
As shown in fig. 2, the method comprises the steps of:
step S210, classifying at least one electronic book and at least one paper book according to a uniform classification standard.
In this embodiment, at least one electronic book and at least one paper book are classified according to a uniform classification standard, so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book. The specific implementation process of this step may refer to the description of the corresponding part in step S110, which is not described herein again.
Step S220, receiving a book query request sent by a target user, and determining a target uniform classification category corresponding to the book query request.
And receiving book query information input by a target user through an input inlet, and further determining a target uniform classification category matched with the book query information. The target user may be any reader user in the platform corresponding to this embodiment, or may also be a reader user with a preset query right, and so on.
For example, if the query information "science fiction" is input by the user, the query information "science fiction" input by the user is determined to be a certain electronic book classification category "science fiction", a uniform classification category corresponding to the electronic book classification category is determined, and finally the determined uniform classification category is determined to be a target uniform classification category corresponding to the target user.
Step S230, presenting the e-book information and the paper book information corresponding to the target unified classification category.
After the target uniform classification category corresponding to the book query request is determined, the electronic book information and the paper book information corresponding to the target uniform classification category are further presented, so that a user can obtain the paper book and the book information of the electronic book at the same time only through one query operation. Wherein, the electronic book information mainly comprises: book name, author information, and/or scoring information, etc.; the paper book information mainly comprises: book name, borrowing and/or purchase status information (e.g., the number of currently available borrowings for the paper book, the return time for each borrowed paper book, etc.), borrowing and/or purchase location information (e.g., the current corresponding library or bookstore location for the paper book, etc.).
In the process of presenting the electronic book information and the paper book information corresponding to the target unified classification category, the matching degree of the presented result and the user query request is further improved, the query effect is improved, and the user experience is improved. Specifically, the electronic book information and the paper book information corresponding to the target unified classification category are presented based on the priorities of the electronic book and the paper book. If the priority of the e-book is higher than that of the paper book, the e-book is preferentially presented (e.g., the e-book is ranked higher in the query result than the paper book), and vice versa.
Specifically, one or more of the following embodiments may be used in combination to determine the priority of the e-book and the paper-book:
the first implementation mode comprises the following steps: and determining the priority of the electronic book and the paper book according to the scene information corresponding to the target user currently and/or the historical reading habit information corresponding to the target user. The scene information currently corresponding to the target user is the scene information determined by the geographic position information and/or the current time information corresponding to the target user, and if the geographic position currently corresponding to the target user is "home" and the current time information is "11 pm", the scene information corresponding to the target user is determined to be a "scene before sleep", and the like.
In this embodiment, the matching degree between the electronic book and the paper book and the current status is determined according to the current scene information corresponding to the target user and/or the historical reading habit information corresponding to the target user. Wherein, the higher the matching degree, the higher the priority.
For example, through analysis of historical reading habit information corresponding to a target user, it is determined that the user is used to read an electronic book before sleep, and if scene information corresponding to the target user currently is a scene before sleep, it is determined that the priority of the electronic book is higher than that of the paper book; or, if the current scene information corresponding to the target user is "library study", it may be determined that the priority of paper quality books is higher than that of electronic books. By adopting the mode, the information of the electronic book and the paper book can be presented for the user in a customized manner aiming at different scenes and user habits, and the query efficiency of the user is further improved.
The second embodiment: in the present embodiment, the priority is specifically determined based on book information of a paper book. Specifically, the priorities of the electronic book and the paper book are determined according to borrowing and/or purchasing state information and borrowing and/or purchasing position information in the paper book information corresponding to the target uniform classification category. For example, if the number of available borrowings of the current paper books is smaller than or equal to a preset threshold (the preset threshold may be 0), it is determined that the priority of the electronic book is higher than that of the paper books; or, if the borrowing or purchasing position of the current paper book exceeds the preset distance from the target user position, determining that the priority of the electronic book is higher than that of the paper book and the like. In the implementation mode, the priorities of the electronic book and the paper book are determined comprehensively according to the stock information, the position information and the like of the paper book, so that the matching degree of the presented query result and the actual situation of the user is favorably improved, and the user experience is improved.
The third embodiment is as follows: and determining the priority of the electronic book and the paper book according to the priority configuration information input through the priority setting inlet. In an actual implementation process, a corresponding priority configuration entry can be provided for a manager user or a reader user, and the user can input priority information of the electronic book and the paper book through the priority configuration entry. For example, a "display priority" function may be provided for the user, and when the user selects the "paper book priority > e-book priority" option, it is determined that the priority of the current e-book and paper book is "paper book priority > e-book priority". By adopting the mode, the operation flexibility of the user can be improved, the individual requirements of the user can be met, and the user experience can be improved.
Therefore, in the process of inquiring books by a user, the information of the electronic book and the paper book matched with the inquiry request is presented in the inquiry result according to the user requirement by the fusion processing of the electronic book and the paper book, so that the user operation is simplified, the inquiry efficiency is improved, and the user experience is improved; in addition, the final query result is displayed according to the priority of the electronic book and the paper book, so that the matching degree of the query result and the user requirement is further improved, the query effect of the user is improved, and the user experience is improved.
EXAMPLE III
Fig. 3 is a schematic flow chart of a book displaying method according to another embodiment of the present invention, where the book displaying method provided in this embodiment is further optimized for the embodiment shown in fig. 1, and is specifically applied to a recommendation scenario of a user for a book.
As shown in fig. 3, the method comprises the steps of:
and 310, classifying the at least one electronic book and the at least one paper book according to the unified classification standard.
In this embodiment, the at least one electronic book and the at least one paper book are classified according to a uniform classification standard, so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book. The specific implementation process of this step may refer to the description of the corresponding part in step S110, and this embodiment is not described herein again.
Step S320, obtaining the user data of the target user, determining the classification category to be recommended corresponding to the target user according to the user data, and determining the uniform classification category matched with the classification category to be recommended as the target uniform classification category.
Wherein the user data of the target user comprises: user attribute data (e.g., age, gender, occupation, etc.), and/or user historical operational data (e.g., historical book purchase/borrowing data, historical reading data, etc.). By processing the user data of the target user, the classification category matched with the target user can be determined, so that the unified classification category matched with the classification category to be recommended is determined.
Step S330, presenting the electronic book information and the paper book information corresponding to the target unified classification category.
After the target uniform classification category corresponding to the target user is determined, electronic book information and paper book information corresponding to the target uniform classification category are further recommended for the target user. In the process of recommending the e-book information and the paper book information corresponding to the target uniform classification category for the target user, in order to improve the matching degree of the recommendation result and the user requirement, the e-book information and the paper book information corresponding to the target uniform classification category are recommended in this embodiment specifically based on the priorities of the e-book and the paper book. If the priority of the electronic book is higher than that of the paper book, the electronic book is preferentially recommended, and vice versa.
The specific implementation process in this step may refer to the description of the corresponding part in step S230, which is not described herein again.
Therefore, in the process of recommending books for the user, the electronic book and the paper book information matched with the user are recommended for the user at the same time through the fusion processing of the electronic book and the paper book, so that the conversion rate of book recommendation is improved, and the user experience is improved; in addition, the recommendation of the books is performed according to the priorities of the electronic books and the paper books, so that the matching degree of the recommendation result and the user is further improved, and the recommendation conversion rate of the books is improved.
Example four
According to an embodiment of the present invention, a non-volatile computer storage medium is provided, where at least one executable instruction is stored in the computer storage medium, and the computer executable instruction may execute the book display method in any of the above method embodiments.
The executable instructions may be specifically configured to cause the processor to perform the following operations:
classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book;
determining a target uniform classification category;
and presenting the electronic book information and the paper book information corresponding to the target unified classification category.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
receiving a book query request sent by a target user, and determining a target uniform classification category corresponding to the book query request.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
acquiring user data of a target user, and determining a classification category to be recommended corresponding to the target user according to the user data;
and determining the uniform classification category matched with the classification category to be recommended as a target uniform classification category corresponding to the target user.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
and presenting the electronic book information and the paper book information corresponding to the target unified classification category based on the priorities of the electronic book and the paper book.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
before presenting the electronic book information and the paper book information corresponding to the target unified classification category, determining the priority of the electronic book and the paper book according to the current scene information corresponding to the target user and/or the historical reading habit information corresponding to the target user.
In an alternative embodiment, the paper book information includes at least one of the following information: book name information, borrowing and/or purchasing status information, borrowing and/or purchasing location information.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
before presenting the electronic book information and the paper book information corresponding to the target uniform classification category, determining the priority of the electronic book and the paper book according to borrowing and/or purchasing state information and borrowing and/or purchasing position information in the paper book information corresponding to the target uniform classification category.
In an alternative embodiment, the executable instructions may be specifically configured to cause the processor to:
the uniform classification standard is a paper book classification standard;
and determining paper book classification categories corresponding to the electronic book classification categories of each electronic book according to the mapping relation between the electronic book classification standards and the paper book classification standards.
Therefore, in this embodiment, at least one electronic book and at least one paper book are classified according to a uniform classification standard, so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book; further determining a target unified classification category; and finally presenting the electronic book information and the paper book information corresponding to the target unified classification category. According to the scheme, the electronic book and the paper book information matched with the user requirements can be presented simultaneously according to the user requirements through the fusion processing of the electronic book and the paper book, so that the user operation is simplified, the operation efficiency is improved, and the user experience is improved.
EXAMPLE five
Fig. 4 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.
As shown in fig. 4, the computing device may include: a processor (processor) 402, a Communications Interface 404, a memory 406, and a Communications bus 408.
Wherein: the processor 402, communication interface 404, and memory 406 communicate with each other via a communication bus 408. A communication interface 404 for communicating with network elements of other devices, such as clients or other servers. The processor 402 is configured to execute the program 410, and may specifically execute the relevant steps in the embodiment of the book displaying method described above.
In particular, program 410 may include program code comprising computer operating instructions.
The processor 402 may be a central processing unit CPU, or an Application Specific Integrated Circuit ASIC (Application Specific Integrated Circuit), or one or more Integrated circuits configured to implement an embodiment of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 406 for storing a program 410. Memory 406 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 410 may be specifically configured to cause the processor 402 to perform the following operations:
classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book;
determining a target unified classification category;
and presenting the electronic book information and the paper book information corresponding to the target unified classification category.
In an alternative embodiment, the program 410 may be specifically configured to cause the processor 402 to perform the following operations:
receiving a book query request sent by a target user, and determining a target uniform classification category corresponding to the book query request.
In an alternative embodiment, the program 410 may be specifically configured to cause the processor 402 to perform the following operations:
acquiring user data of a target user, and determining a classification category to be recommended corresponding to the target user according to the user data;
and determining the uniform classification category matched with the classification category to be recommended as a target uniform classification category corresponding to the target user.
In an alternative embodiment, the program 410 may be specifically configured to cause the processor 402 to perform the following operations:
and presenting the electronic book information and the paper book information corresponding to the target uniform classification category based on the priorities of the electronic book and the paper book.
In an alternative embodiment, the program 410 may be specifically configured to cause the processor 402 to perform the following operations:
and before presenting the e-book information and the paper book information corresponding to the target uniform classification category, determining the priority of the e-book and the paper book according to the current scene information corresponding to the target user and/or the historical reading habit information corresponding to the target user.
In an alternative embodiment, the paper book information includes at least one of the following information: book name information, borrowing and/or purchasing status information, borrowing and/or purchasing location information.
In an alternative embodiment, the program 410 may be specifically configured to cause the processor 402 to perform the following operations:
before presenting the electronic book information and the paper book information corresponding to the target uniform classification category, determining the priority of the electronic book and the paper book according to borrowing and/or purchasing state information and borrowing and/or purchasing position information in the paper book information corresponding to the target uniform classification category.
In an alternative embodiment, the program 410 may be specifically configured to cause the processor 402 to perform the following operations:
the uniform classification standard is a paper book classification standard;
and determining paper book classification categories corresponding to the electronic book classification categories of each electronic book according to the mapping relation between the electronic book classification standards and the paper book classification standards.
Therefore, in this embodiment, at least one electronic book and at least one paper book are classified according to a uniform classification standard, so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book; further determining a target unified classification category; and finally presenting the electronic book information and the paper book information corresponding to the target unified classification category. According to the scheme, the electronic book and the paper book information matched with the user requirements can be presented simultaneously according to the user requirements through the fusion processing of the electronic book and the paper book, so that the user operation is simplified, the operation efficiency is improved, and the user experience is improved.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (12)
1. A book display method, comprising:
classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book; determining one or more paper book classification category secondary categories corresponding to the electronic book classification category primary category according to the character matching degree of the category names and/or category additional information of the electronic book classification category primary category and the paper book classification category secondary category, and automatically generating the mapping relation between the electronic book classification standard and the paper book classification standard; determining paper book classification categories corresponding to the electronic book classification categories of each electronic book according to the mapping relation between the electronic book classification standards and the paper book classification standards, and further determining uniform classification categories corresponding to the electronic books; the paper book uses the paper book classification category of the paper book as the uniform classification category of the paper book;
determining a target uniform classification category;
determining scene information according to the geographical position information and the current time information corresponding to the target user, and determining the matching degree of the electronic book and the paper book with the current condition according to the scene information currently corresponding to the target user and/or the historical reading habit information corresponding to the target user; wherein, the higher the matching degree is, the higher the priority is;
presenting e-book information and paper book information corresponding to the target uniform classification category based on priorities of the e-book and the paper book; and if the priority of the electronic book is higher than that of the paper book, the sequencing position of the electronic book in the query result is higher than that of the paper book.
2. The method of claim 1, wherein the determining a target unified classification category further comprises:
receiving a book query request sent by a target user, and determining a target uniform classification category corresponding to the book query request.
3. The method of claim 1, wherein the determining a target unified classification category further comprises:
acquiring user data of a target user, and determining a classification category to be recommended corresponding to the target user according to the user data;
and determining the unified classification category matched with the classification category to be recommended as a target unified classification category.
4. The method of any of claims 1-3, wherein the paper book information includes at least one of: book name information, borrowing and/or purchasing status information, borrowing and/or purchasing location information.
5. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to:
classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book; determining one or more secondary categories of the paper book classification category corresponding to the primary category of the electronic book classification category according to the character matching degree of the category names and/or the category additional information of the primary category of the electronic book classification category and the secondary category of the paper book classification category, and automatically generating the mapping relation between the electronic book classification standard and the paper book classification standard; determining paper book classification categories corresponding to the electronic book classification categories of each electronic book according to the mapping relation between the electronic book classification standards and the paper book classification standards, and further determining uniform classification categories corresponding to the electronic books; the paper book continues to use the paper book classification category of the paper book as the uniform classification category of the paper book;
determining a target uniform classification category;
determining scene information according to the geographical position information and the current time information corresponding to the target user, and determining the matching degree of the electronic book and the paper book with the current condition according to the scene information currently corresponding to the target user and/or the historical reading habit information corresponding to the target user; wherein, the higher the matching degree is, the higher the priority is;
presenting e-book information and paper book information corresponding to the target uniform classification category based on priorities of the e-book and the paper book; and if the priority of the electronic book is higher than that of the paper book, the sequencing position of the electronic book in the query result is higher than that of the paper book.
6. The computing device of claim 5, wherein the executable instructions cause the processor to:
receiving a book query request sent by a target user, and determining a target uniform classification category corresponding to the book query request.
7. The computing device of claim 5, wherein the executable instructions cause the processor to:
acquiring user data of a target user, and determining a classification category to be recommended corresponding to the target user according to the user data;
and determining the unified classification category matched with the classification category to be recommended as a target unified classification category.
8. The computing device of any of claims 5-7, wherein the paper book information includes at least one of: book name information, borrowing and/or purchasing status information, borrowing and/or purchasing location information.
9. A computer storage medium having stored therein at least one executable instruction that causes a processor to:
classifying at least one electronic book and at least one paper book according to a uniform classification standard so as to respectively determine a uniform classification category corresponding to each electronic book and a uniform classification category corresponding to each paper book; determining one or more paper book classification category secondary categories corresponding to the electronic book classification category primary category according to the character matching degree of the category names and/or category additional information of the electronic book classification category primary category and the paper book classification category secondary category, and automatically generating the mapping relation between the electronic book classification standard and the paper book classification standard; determining paper book classification categories corresponding to the electronic book classification categories of each electronic book according to the mapping relation between the electronic book classification standards and the paper book classification standards, and further determining uniform classification categories corresponding to the electronic books; the paper book uses the paper book classification category of the paper book as the uniform classification category of the paper book;
determining a target uniform classification category;
determining scene information according to the geographical position information and the current time information corresponding to the target user, and determining the matching degree of the electronic book and the paper book with the current condition according to the scene information currently corresponding to the target user and/or the historical reading habit information corresponding to the target user; wherein, the higher the matching degree is, the higher the priority is;
presenting e-book information and paper book information corresponding to the target uniform classification category based on priorities of the e-book and the paper book; and if the priority of the electronic book is higher than that of the paper book, the sequencing position of the electronic book in the query result is higher than that of the paper book.
10. The computer storage medium of claim 9, wherein the executable instructions cause the processor to:
receiving a book query request sent by a target user, and determining a target uniform classification category corresponding to the book query request.
11. The computer storage medium of claim 9, wherein the executable instructions cause the processor to:
acquiring user data of a target user, and determining a classification category to be recommended corresponding to the target user according to the user data;
and determining the unified classification category matched with the classification category to be recommended as a target unified classification category.
12. The computer storage medium of any of claims 9-11, wherein the paper book information includes at least one of: book name information, borrowing and/or purchasing status information, borrowing and/or purchasing location information.
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| CN116644181A (en) * | 2023-05-10 | 2023-08-25 | 广东天卷教育设备有限公司 | Data processing method, device, equipment and medium for library robot |
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| CN109977073A (en) * | 2019-03-11 | 2019-07-05 | 厦门纵横集团科技股份有限公司 | A kind of law court's electronics folder automation filing system and its method |
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| CN101459725B (en) * | 2007-12-14 | 2012-07-04 | 北京易路联动技术有限公司 | Intelligent inquiry method oriented to mobile Internet on mobile terminal |
| CN102799591B (en) * | 2011-05-26 | 2015-03-04 | 阿里巴巴集团控股有限公司 | Method and device for providing recommended word |
| JP2016071741A (en) * | 2014-09-30 | 2016-05-09 | 大日本印刷株式会社 | Server system, program, and information recommendation method |
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| CN109977073A (en) * | 2019-03-11 | 2019-07-05 | 厦门纵横集团科技股份有限公司 | A kind of law court's electronics folder automation filing system and its method |
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