KR102419071B1 - providing method of book recommendation system - Google Patents

Abstract

The present invention relates to a method for providing a big data-based book recommendation system, which comprises a step of performing a big data-based book material management. Here, the step of performing the book material management comprises: a step of designing a book material management system; a step of realizing the designed book material management system; and a step of managing and providing a book material based on the realized book material management system. In particular, provided is the method for providing a big data-based book recommendation system, wherein the book material management system may further comprise: a material management server which generates information for managing the collection of the book based on the international standard book number (ISBN) given to each material; a user terminal used by a book user; a manager terminal used by a book manager; and a server managing unit which maintains and manages the material management servers to be a predetermined condition and manages the same to respond to external shock. Therefore, efficient book recommendation may be provided.

Description

Big data-based book recommendation system providing method {providing method of book recommendation system}

The present invention relates to a method for providing a book recommendation system based on big data.

While book recommendation technology is continuously being developed, a method of providing a book recommendation system based on big data is required according to the times. In addition, it is necessary to manage these book recommendations and related book materials online and offline. However, there is a problem that the technology that can effectively satisfy all of these parts is absent or insufficient. In addition, in providing such a system, it is necessary to provide a physically stable structure in consideration of the surrounding environment to provide the system in an online safe and optimized state. However, there is a problem in that such a physical part is overlooked, resulting in huge damage due to a failure on the network, and inconvenience to consumers.

Korean Patent Registration No. 10-2232957

The problem to be solved by the present invention is to provide an effective book recommendation in providing a big data-based book recommendation system and to provide a big data-based book recommendation system equipped in an environment that can secure operational stability and efficiency.

In addition, Big Data can provide a customized book list that can best develop a student's reading skills according to each student's reading index, word count, and book quiz correct rate by using big data for efficient improvement of English proficiency through English reading. It is to provide a data-based book recommendation system.

In addition, in order to effectively improve English proficiency through English reading, by using big data, students can best develop their reading skills according to each student's reading index, word count, and book quiz correct rate. It is to provide a big data-based book recommendation system that can provide a customized book list that is not limited to word count and book quiz correct rate.

In addition, when only the AR and Lexile indices used in the US curriculum are applied to the Korean situation, it is difficult to select books appropriate for a student’s level and select books that are helpful for growth. to provide a system

In addition, it provides a method for providing a big data-based book recommendation system that not only maintains the server-related parts on the system in an optimized temperature state, but also installs and stores physical means such as servers to effectively grip and fix external shocks and vibrations. will be.

In addition, it is to provide a method of providing a big data-based book recommendation system that can implement a one-step data registration service that generates material information and management information at once based on the ISBN assigned to each material owned by the library.

In addition, it is to provide a method of providing a big data-based book recommendation system that provides services such as library collection data management and library user management.

In addition, based on artificial intelligence, it is to provide a method of providing a book recommendation system based on big data that can predict the timing of borrowing and doubling of new books based on artificial intelligence.

In addition, it is to provide a method for providing a big data-based book recommendation system including a service evaluation server that evaluates emotional factors for the provided service.

The tasks of the present invention are not limited to the tasks mentioned above, and other tasks not mentioned will be clearly understood by those skilled in the art from the following description.

The present invention provides a method for providing a big data-based book recommendation system, comprising the steps of performing big data-based book data management, wherein the book data management is performed, comprising: designing a book data management system; a step in which the designed book data management system is implemented; and managing and providing book data based on the implemented book data management system, wherein the book data management system holds the book based on the International Standard Book Number (ISBN) assigned to each data. A data management server that generates information for data management, a user terminal used by book users, an administrator terminal used by a book administrator, and a server manager that maintains and manages the data management servers under set conditions and responds to external shocks It provides a method for providing a big data-based book recommendation system further comprising a jingle unit.

According to the present invention as described above, there are one or more of the following effects.

The present invention can provide a big data-based book recommendation system equipped in an environment that provides effective book recommendation and secures operational stability and efficiency in providing a big data-based book recommendation system.

In addition, to provide a method for providing a big data-based book recommendation system that not only maintains the server-related parts on the system in an optimized temperature state, but also can install and store physical means such as servers to effectively grip and fix external shocks and vibrations. can

In addition, it is possible to provide a method of providing a big data-based book recommendation system that can implement a one-step data registration service that generates material information and management information at once based on the ISBN assigned to each material owned by the library. .

In addition, it is possible to provide a method for providing a big data-based book recommendation system that provides services such as library collection data management and library user management.

In addition, based on artificial intelligence, it is possible to provide a method of providing a big data-based book recommendation system capable of predicting the timing of borrowing and doubling of new books based on artificial intelligence.

In addition, it is possible to provide a method for providing a book recommendation system based on big data including a service evaluation server that evaluates emotional factors for the provided service.

1 to 3A are diagrams illustrating configurations of a big data-based book recommendation system.
3B to 3D are diagrams illustrating reference contents of the book recommendation system according to FIG. 1 .
4 is a conceptual diagram of a library material management system according to an embodiment of a method for providing a big data-based book recommendation system of the present invention.
5 is a conceptual diagram of the data management server shown in FIG.
6 is a conceptual diagram according to another embodiment of the data management server shown in FIG.
7 to 9 are diagrams schematically showing some of the configurations of the system according to FIG.

Hereinafter, a detailed description of a preferred embodiment of the present invention will be described with reference to the accompanying drawings. In the following description of the present invention, if it is determined that a detailed description of a related well-known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

1 to 3A are diagrams illustrating configurations of a book recommendation system based on big data according to another embodiment. 1 to 3A , there is provided a method for providing a big data-based book recommendation system, the method comprising: designing a book recommendation system; a step in which the designed book recommendation system is implemented; and providing the implemented book recommendation system online.

The book recommendation system measures the level including the reading of the learner 210, provides the learner 210 with a process for learning the book, and provides a reading guide for reading and recommended book information about recommended books. Online DB (220); AI teacher module 230 for discriminating the reading book and the guide book based on barcode recognition in connection with the online DB; and a book recommendation module 240 that is linked with the online DB 220 to fuse the reading guide and information on a book list based on the recommended book.

In addition, the online DB 220 is interlocked with the AI teacher module 230 and the book recommendation module 240, and the progress check for book learning through the reading guide together with the AI teacher module 230 , provides information for the process of absolute and relative evaluation, is linked with the book recommendation module 240 to store lister information of the recommended book, and to the evaluation and book list for learning evaluation of the learner 210 Information on related information is to be retrieved. Here, the recommendation system extracts the absolute evaluation or a book list according to the absolute evaluation, and provides information on the book recommendation list according to the propensity of the learner 210 .

3b to 3d, the present invention is . To effectively improve English proficiency through English reading, big data is used to provide a customized book list that can best develop a student's reading skills according to each student's reading index, word count, and book quiz correct rate. In countries where English is not the native language, there are difficulties in selecting books for parents and it is difficult to know which books are most effective for improving students' English proficiency. You can solve that problem by providing an actual bibliography. If only the AR and Lexile indexes used in the American curriculum are applied to the Korean situation, there are great difficulties in selecting books appropriate for the student's level and selecting books that are helpful for growth, but it can be solved. Items related to this are as follows.

1. AR (Accelerated Reader) Index

1) Definition

An abbreviation of Accelerated Reader, a reading management program developed by Renaissance Learning for the purpose of recommending extensive reading cf) Renaissance Learning is used in about 60,000 schools in the United States and famous English libraries and kindergartens in Korea.

2) Configuration

- Numericalized data by comprehensively judging the amount and difficulty of vocabulary included in the book, length and composition of sentences, etc.

- Level that classifies students' reading level by grade level

- 14 steps from K to 13

3) AR elements of books

- ATOS Book Level (BL): Level index that measures the difficulty of reading a book / 1.0 - 12.0

Year before the decimal point, months after the decimal point ex) 1.7 = Average reading level for 7 months in the first year

- Interest Level (IL): Relevance level index considering age and grade / Determines whether it matches the cognitive level of K - 12

LG (Lower Grades) : K - 3 / MG (Middle Grades) : 4 - 8

MG+ (Middle Grades Plus) : 6- / UG (Upper Grades) : 9 - 12

2. Lexile Index

1) Definition

English Reading Proficiency Index developed by Meta Matrix

Lexile Readers' Index: Means an individual's reading ability

Lexile Text Difficulty: Difficulty of English magazines or English books

Lexile scale: 0L - 2000L are measured, beginner reading is marked as BR (Beginning Reader)

2) Lexile's credibility in the US

It is an officially certified reading index in 21 US states, and is currently the most adopted reading index.

AZ (Arizona), CA (California), DE (Delaware), FL (Florida), GA (Georgia), HI (Hawaii), etc.

More than 60 evaluation test scores and Lexile scores are linked and displayed

TOEFL IBT, TOEFL Junior reading part scores are also marked with Lexile index

3) Utilization of Lexile Index

Lexile Reader Quote + Lexile Text Quote = Lexile English Reading System

The Lexile index enables continuous observation of the reader's English reading ability over time.

Displayed on a Lexile scale, allowing continuous monitoring of developmental progress

As it is possible to continuously check individual developmental status, it is easy to teach individual learning methods

3. ORF (Oral Reading Fluency)

1) Definition

- Ability to read texts quickly, accurately, and expressly

- One of several important factors for successful reading comprehension

- With proper speed, accuracy, and expression, you can focus on the meaning, making the material easier to understand

2) Why ORFs Matter

i. Reading Fluency is Important for Motivation - People who find it difficult to read tend to not do it at all

ii. Fluency becomes more important in higher grades - because the amount of reading required in the upper grades increases dramatically

iii. Students who are slow or difficult to read - will have difficulty meeting the grade level average reading level

4. Correlation between Reading and Vocabulary Acquisition

1) Distinguishing between Reading and Reading

Reading is the fastest way for children to learn a language

By starting to read, you learn words and sentences by being exposed to the language yourself, even if you are not a parent or TV.

Reading at your own level and reading without assistance is leading

Reading that requires interpretation is reading comprehension

(Reading is a necessary study method, but it is not suitable for young children, who have insufficient basic grammar or vocabulary)

2) Relationship between vocabulary and comprehension

It is clear that we need vocabulary to understand

Incomprehension due to lack of knowledge about the meaning of individual words

→ But you can also know what the context means without knowing all the words

→ The meaning of this structured context helps to interpret the meaning of unknown words

Due to this kind of circular structure, you get to know words from context, and your vocabulary grows.

Students with more vocabulary than their peers tend to have higher comprehension skills than less developed students.

3) Why vocabulary and comprehension are related

It is very clear that comprehension and vocabulary are closely related.

One study found that individual differences in comprehension affect individual differences in vocabulary.

From this perspective, children learn the meaning of new words the most through reading, of all methods.

As a result, children who read frequently learn more vocabulary over time, while

Children who read less have poor vocabulary development due to lack of exposure to language

→ Individual differences in vocabulary affect individual differences in comprehension

→ If the vocabulary is low or the meaning of words cannot be acquired effectively, the growth of comprehension is insignificant.

Other studies have found that vocabulary and reading are related because they share a common process.

Vocabulary growth requires a mapping between the semantic concepts of words and their phonological forms,

In a similar vein, reading relies on mappings between semantic and phonological units of expression.

→ Children who read less may not be able to map properly, so reading and vocabulary deteriorate

5. way

1) Extract individual data (average reading index (AR, Lexile), average word count, average quiz correct rate, ORF, propensity, learning data, etc.)

- When extracting the average AR index and word count, exclude books that are too easy or difficult for the level to avoid underestimation

i. Excluding records with a correct answer rate of less than 60% among all reading status

ii. Check the distribution of AR index among the reading status of each school

iii. Calculate the average AR index after excluding a certain percentage of the top and bottom according to the distribution

iv. In case of word count and correct answer rate ii. Calculate the average value with the word count corresponding to the AR index obtained from

- Select a recommended book package considering not only reading data (reading index, word count, etc.) but also learning data such as learning status in the school

- Learning data

i. Extracts grades and learning data in 5 areas of phonics, reading, vocabulary, grammar, and writing

ii. Calculate which areas are lacking and which areas can be moved to the next step based on the extracted data

iii. ii. By adding the calculated data to the book selection criteria, it helps not only reading but also learning growth.

2) Packages are given according to the selection conditions of about 130 recommended book packages (hereafter packages) created through big data research

- Possibility of increasing the types of packages in the future.

- In the case of books in the package, they are classified using PLBN, Purple Academy's own book classification, not ISBN

3) 15 books matching the package selected in the Recommended Books tab on the My Page of the homepage are provided every week

- When a recommended book is registered, it is immediately replaced with another book

- In the case of books that have already been read before being recommended (hereinafter referred to as duplicate books), by the 5th of each month, the student's reading record is used to exclude them;

Other books in the package are provided for the number of excluded books.

4 to 8 , the library material management system of the present invention may provide a one-step material registration service based on an International Standard Book Number (ISBN). One-step material registration service is a service that automatically generates material information, registration number, directory number, billing symbol, ship information, etc. when scanning the ISBN of library materials. In this case, it is possible to build essential information for data management only by scanning the ISBN of the data. The library manager can use the library material management system of the present invention to create and register essential information for a newly purchased book through a one-step material registration service, and then to attach a registration number and billing symbol label and double work. . Here, the user will be able to search for the material as soon as the essential for the library's new material is registered by the ISBN scan.

That is, the library material management system of the present invention facilitates the library material registration of the library manager, and it will be possible to shorten the time until the new library material is serviced to the user. Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

Referring to FIG. 4 , the library material management system 1000 according to an embodiment of the present invention includes a user terminal 10 , a manager terminal 20 , and a material management server 100 . The user terminal 10 and the manager terminal 20 are communication capable devices equipped with an input means, an output means, and a CPU module, such as a PC, a notebook computer, a smart phone, and a mobile phone. The user terminal 10 and the manager terminal 20 install a dedicated software (application) that provides a one-step data registration service according to the present invention through a communication network, or access a web page interlocked with the data management server 100. Various services provided by the data management server 100 may be executed.

In this embodiment, the user terminal 10 may be a device used by a library user, and the manager terminal 20 may be a device used by a library manager. For example, the user can search for various information about the library holdings through the user terminal 10, and the administrator can register, create and manage information about the library holdings through the administrator terminal 20. will be. The data management server 100 may execute or produce various software based on an operating system (OS), that is, the system. The operating system is a system program for software to use the hardware of the device. Mobile computer operating systems such as Android OS, iOS, Windows Mobile OS, Bada OS, Symbian OS, Blackberry OS, and Windows, Linux, Unix, MAC , AIX, HP-UX, etc. may include all computer operating systems.

The data management server 100 can implement a one-step data registration service in which the user terminal 10 and the manager terminal 20 participate through dedicated software installed on the user terminal 10 and the manager terminal 20 or a web page linked thereto. have. For example, the data management server 100 may generate various essential information of the data based on the ISBN scan information of the data acquired through the manager terminal 20 , and the essential information generated by the user terminal 10 is It can be registered so that it can be viewed. In addition, the data management server 100 may analyze the data loan pattern for each library user, and predict the doubling time of the new library material. In this regard, a detailed description will be given later. In addition, the data management server 100 may include various service provision functions provided by a typical library data management system.

In addition, referring to FIG. 5 , the data management server 100 provides a loan/return control window, member information, family member information, scan data bibliographic information, closing date/schedule management, loan information, book joint-based mutual loan information, same-day return information , reservation information, etc. can be built and provided with various service provision tabs related to loan and return, and when each tab is selected through the manager terminal 20, a series of services for providing corresponding services can handle the work.

In addition, the data management server 100 according to an embodiment of the present invention is a web having various service provision tabs related to local standard mutual loan, user authentication, registration and management, collection data, users, loan and return statistics, etc. You can also build a page and provide it.

As such, the library material management system 1000 according to an embodiment of the present invention provides services such as general library collection material management and library user management, as well as one-step data registration service based on ISBN. It facilitates the library manager's management of library materials and shortens the time it takes for new library materials to be serviced to users. 8 is a conceptual diagram of the data management server shown in FIG. Referring to FIG. 4 , the data management server 100 may include a scan unit 110 , a search unit 130 , a data information generation unit 150 , and a management information generation unit 170 .

The scanning unit 110 may scan the ISBN assigned to each book. ISBN is a unique number assigned to books produced worldwide according to an internationally standardized method, and is usually written on the back of the book. The scan unit 110 may obtain an ISBN scanned through the barcode scanning module by interworking with the barcode scanning module. Alternatively, the scan unit 110 may obtain the ISBN by directly inputting the ISBN from the manager through dedicated software installed in the manager terminal 20 or a web page linked thereto.

The search unit 130 may access a separate portal site and search the ISBN obtained by the scan unit 110 . The search unit 130 may search for the ISBN on the portal site and obtain the result as brief information about the data. Here, the brief information may include a cover image of the material, a title, and the like. The search unit 130 may output brief data information through dedicated software installed in the manager terminal 20 or an interlocked web page, and may receive a request for detailed information search for the corresponding brief data information from the manager. For example, the manager may request detailed information search for the corresponding material by checking whether the cover image and title of the material output to the manager terminal 20 are the same as the cover image and the image of the ISBN scanned material.

When the data information generation unit 150 receives a request to search for detailed information of the data searched by the search unit 130 through the manager terminal 20, it accesses the KOLIS NET and provides detailed information on the data. information can be retrieved. Here, the detailed information may include a title, author, publisher, publication year, cover image, content classification, and the like. The data information generating unit 150 may acquire detailed information about the data by searching the ISBN obtained from the scanning unit 110 in the national data common catalog system, and in the national data common list system, the scanning unit 110 When there is no search result for the obtained ISBN, the brief information obtained by the search unit 130 may be generated and stored as detailed information of the corresponding information.

As such, the data information generating unit 150 may generate detailed information or brief information, which is a search result in a general portal site or a national data joint catalog system for ISBNs described in the data, as the information of the data. The management information generating unit 170 may generate management information of the corresponding data when the data information is generated and stored by the data information generating unit 150 . Here, the management information may include a registration number, a directory number, a billing symbol, ship information, and the like.

When management information for a certain material is generated, the management information generation unit 170 may store the material information and management information of the corresponding material so that it can be searched through the user terminal 10 . The management information generating unit 170 may output a registration number barcode and a billing symbol label through a separate output module when management information for a certain material is generated, and the manager may apply the registration number barcode and the billing symbol label to the material After attaching it, the ship can proceed to work.

Meanwhile, the data management server 100 according to another embodiment of the present invention includes a scan unit 110 , a search unit 130 , a data information generation unit 150 , a management information generation unit 170 , and a doubling time prediction unit ( 190) may be included. The data management server 100 according to another embodiment of the present invention is different from the data management server 100 shown in FIG. 4 in that it further includes a doubling time prediction unit 190, and the other The components are the same.

Therefore, in the following, only the doubling time prediction unit 190 will be described, and the rest of the scan unit 110 , the search unit 130 , the data information generation unit 150 , and the management information generation unit 170 will be described above. replace The doubling time prediction unit 190 may predict the doubling time of the corresponding data when the management information generating unit 170 generates management information for a certain data. Typically, new materials in the library are placed in a separate doubling space for a predetermined period of time, and then doubled according to the billing preference assigned to each material.

In this embodiment, the doubling time prediction unit 190 may analyze the data loan pattern for each library user, predict the doubling time for the new library material, and provide it to the manager terminal 20 . For example, the manager terminal 20 may receive an alarm notifying that the doubling time for the library new material has arrived from the doubling time prediction unit 190, and in this case, the manager may proceed with the doubling of the new material. will be.

The doubling time prediction unit 190 may check the content classification included in the data information of the new data. The doubling time prediction unit 190 may analyze the content classification of the highest priority preference material for each library user. For example, the doubling time prediction unit 190 counts the number of books for each content classification in the materials borrowed by the library user for a predetermined period, and sets the content classification corresponding to the largest number of books to the highest priority preference of the library user. It can be analyzed by content classification. The doubling time prediction unit 190 may select any one of the library users whose content classification of new material is analyzed as the content classification of the highest priority preferred material, and analyze the loan period of the corresponding user. The doubling time prediction unit 190 may predict a date elapsed by a predetermined date from the library user's loan date calculated according to the analyzed loan period as the doubling time of the new material.

Alternatively, the doubling time prediction unit 190 may divide library users by gender, age and region, and analyze the content classification of the highest priority preference data by gender, age, and region. The doubling time prediction unit 190 may adopt a deep belief network (DBN) model as a deep learning model. The doubling time prediction unit 190 can build a deep learning model that learns preference or non-preference for the content classification by gender, age, and region by targeting preference or non-preference for content classification of the highest priority preference data. .

Accordingly, the doubling time prediction unit 190 may input the content classification included in the data information of the new data into the deep learning model, and predict the gender, age and region of the user whose content classification is the highest priority preference data. The doubling time prediction unit 190 selects a library user corresponding to the gender, age and region predicted from the deep learning model among library users whose content classification of new material is analyzed as the content classification of the highest priority preferred material, and borrows the user's loan cycle can be analyzed.

The doubling time prediction unit 190 may predict a date elapsed by a predetermined date from the library user's loan date calculated according to the analyzed loan period as the doubling time of the new material. As such, in the new material, the doubling time prediction unit 190 predicts the data loan date of the library user who is likely to borrow the corresponding material, and provides the new material in a separate doubling space until the predicted data loan date, It will not only encourage library users to read, but also increase the work efficiency of administrators. On the other hand, the library material management system 1000 having the configuration as described above may further include a service evaluation server (not shown in the drawings for convenience of description).

The service evaluation server transmits an evaluation questionnaire related to the evaluation target service to the user terminal 10, receives a response to the evaluation questionnaire through the user terminal 10, and evaluates the emotional element of the evaluation target service provided by the user . In an embodiment of the present invention, the service evaluation server may receive feedback on the evaluation target service from the user of the evaluation target service and manage the emotional quality of the evaluation target service. That is, the service evaluation server according to an embodiment of the present invention can manage the quality of the evaluation target service by evaluating emotional factors such as usability and commerciality of the evaluation target service.

In particular, the service evaluation server according to an embodiment of the present invention not only evaluates the emotional element of the evaluation target service based on a questionnaire response written by the user of the evaluation target service, but also analyzes the response details of the evaluation target service to evaluate the evaluation target service can evaluate the emotional elements of Here, the service evaluation server according to an embodiment of the present invention may use the analysis result of the response details of the evaluation target service to verify the validity of the questionnaire response prepared by the user.

Accordingly, the service evaluation server according to an embodiment of the present invention may increase the accuracy of quality management based on the evaluation of the emotional element of the service, and furthermore, it will be possible to achieve the effect of marketability improvement and product supplementation. In an embodiment, the service evaluation server may transmit an evaluation questionnaire to the user terminal 10 and receive a response to evaluate the emotional element of the evaluation target service. In addition, the service evaluation server may receive a survey response of the evaluation target service from the user terminal 10 to evaluate the emotional element of the evaluation target service. In addition, the service evaluation server may store various indicators necessary for evaluation of the emotional element of the evaluation target service, and may include a database for temporary storage of input/output data.

A service quality management method in such a service evaluation server will be described in more detail below. In an embodiment, the service evaluation server may include an evaluation questionnaire providing unit, a service response analysis unit, and a service quality management unit (each configuration is not shown in the drawings for convenience of description).

The evaluation questionnaire providing unit may request a response to the evaluation questionnaire by outputting an evaluation questionnaire for service evaluation from the manager terminal 20 . For example, when the evaluation target service in the manager terminal 20 is terminated, the evaluation questionnaire providing unit may control the evaluation questionnaire to be output from the manager terminal 20 . The evaluation questionnaire may include at least one question for evaluating the emotional element for the service. Although an evaluation questionnaire is shown as an example to request a response in a subjective form for one questionnaire, the evaluation questionnaire will be constructed in a multiple-choice format in which at least one answer is selected by reflecting the genre of the service to be evaluated, the age of the user, etc. Of course it could be.

The evaluation questionnaire providing unit may obtain a response input through the manager terminal 20 to the evaluation questionnaire and deliver it to a service quality management unit to be described later. The evaluation questionnaire providing unit may check an item to which a response is not input among the evaluation questionnaire including at least one item. When there is an item for which no response is input among the evaluation questionnaire including at least one item, the evaluation questionnaire providing unit may re-request a response to the corresponding item to the manager terminal 20 .

For example, the evaluation questionnaire providing unit may re-request a response to the corresponding item to the manager terminal 20 for the first time when the items for which no responses are input among the evaluation questionnaires are 1/3 or less of the total items. When the first time has elapsed, the evaluation questionnaire providing unit may transmit evaluation questionnaire data to a service response analysis unit to be described later regardless of whether a response is input to an item for which a response is not input. This is because the service response analysis unit analyzes the response details, infers responses to items for which no responses are entered in the evaluation questionnaire, and verifies the reliability of the evaluation questionnaire. In this regard, a detailed description will be given later.

The evaluation questionnaire providing unit may re-request a response to the corresponding item to the manager terminal 20 for a second time when an item to which a response is not input among the evaluation questionnaire is 1/2 or more of all items. Here, the second time may be longer than the first time.

When the second time period has elapsed, the evaluation questionnaire providing unit may check an item for which a response has been input among items for which a response has not been input. The evaluation questionnaire providing unit delivers the evaluation questionnaire data to the service response analysis unit to be described later only when more than 1/2 of the items for which responses to the evaluation questionnaire re-request are entered among the items for which no responses have been entered, and vice versa, the evaluation questionnaire Data can be discarded. As described above, the service response analysis unit analyzes the response details and infers responses to items for which no responses have been entered in the evaluation questionnaire. This is because the reliability of the

As such, the evaluation questionnaire providing unit controls the evaluation questionnaire including at least one item for evaluating the evaluation target service, that is, the one-step data registration service, to be output to the manager terminal 20, and the manager terminal 20 unit It is possible to receive the response of the evaluation questionnaire from , and provide the corresponding evaluation questionnaire data to the service response analysis unit, and may re-request the response of the evaluation questionnaire to the manager terminal 20 according to the number of response items of the evaluation questionnaire.

The service response analysis unit may receive response details from the manager terminal 20 and analyze the service. The service response analysis unit may infer a response to an item to which a response is not input among the evaluation questionnaire according to the result of analyzing the user's response history, and may verify the validity of the evaluation questionnaire.

The service response analysis unit may calculate the appearance frequency of positive words and negative words by analyzing response details for each item of the evaluation response received from the manager terminal 20 . To this end, the service response analyzer may select and store at least one positive word and at least one negative word in advance. For example, in the case of an affirmative word, it may be a word related to satisfaction or recommendation, and in the case of a negative word, it may consist of a word related to disappointment. The service response analysis unit analyzes the response details for each evaluation response item of the evaluation target service, and counts the number of occurrences of words classified as positive or negative words to calculate the frequency of appearance of positive words and negative words. have.

The service response analysis unit may analyze that the emotional element for the service to be evaluated is positive when the frequency of occurrence of positive words is greater than the frequency of occurrence of negative words in each response history of the service to be evaluated. In the opposite case, it can be analyzed that the emotional element of the user's evaluation target service is negative.

Alternatively, the service response analyzer may analyze the response details to determine whether a word related to the evaluation of a preset emotional factor appears. When a word related to evaluation appears in the response history, the service response analyzer may predict the user's opinion on the emotional element by checking the words before and after it.

As such, the service response analyzer may analyze the user's response details to predict the overall user's emotional element as positive or negative for the service to be evaluated. Alternatively, the service response analyzer may predict the user's opinion on a preset specific emotional element as positive or negative.

The service response analyzer may infer a response to an item to which a response is not input in the evaluation questionnaire by using the result of analyzing the user's response history.

For example, when the user's emotional element for the service to be evaluated is positive, the service response analyzer may infer the response of the evaluation questionnaire item to which no response is input as a preset positive example response.

On the other hand, when the user's emotional element is not predicted for the service to be evaluated, the service response analyzer may infer a response to an item for which no response is input in the evaluation questionnaire by using the user's age, gender, service area, etc. . Inferring a response by using the user's age, gender, service area, etc. is to infer the response of another user having the same age, gender, service area, etc. as the corresponding user's response.

Here, when the difference between the frequency of occurrence of negative words and the frequency of occurrence of positive words in each response history of the service to be evaluated is less than or equal to a preset reference value, the service response analyzer may withhold the user's positive or negative prediction for the service to be evaluated.

As such, the service response analyzer may infer a response to an item for which no response is input in the evaluation questionnaire using at least one of the user's emotional element analysis result for the evaluation target service, age, gender, and service area. The service response analyzer may verify the validity of the evaluation questionnaire answered by the user by using the result of analyzing the user's response details.

For example, the service response analyzer may classify the expected response for each item of the evaluation questionnaire as positive or negative, and store it in advance. The service response analysis unit checks whether the response of the evaluation questionnaire written by the user is classified as positive or negative, and matches the two results by checking whether the user's emotional element for the service is classified as positive or negative as a result of analyzing the user's response history can do.

The service response analysis unit may give a response validity score of the corresponding user according to whether the positive or negative classification of the response of the evaluation questionnaire prepared by the user matches the positive or negative classification of the user's response history analysis result. That is, the service response analysis unit, for each item of the evaluation questionnaire, if the positive or negative classification of the response written by the user matches the positive or negative classification of the user's response history analysis result, the user's response validity score is added, and vice versa In this case, the response validity score of the corresponding user may be given by subtracting the response validity score of the corresponding user.

The service quality management unit may present the evaluation questionnaire response prepared by the user to the evaluator. Here, the evaluator may be a platform provider of the library material management system 1000 according to an embodiment of the present invention. The service quality management unit may present a separate mark to the item from which the evaluation questionnaire response is inferred by the service response analysis unit to the evaluator. In this case, the service quality management unit may also present the reason for analogy of the evaluation questionnaire response.

The service quality management unit may present the user's response validity score to the evaluator together. Accordingly, the evaluator will be able to check the evaluation questionnaire for which all responses have been completed and perform quality management through evaluation of emotional factors for the service to be evaluated. As such, the book management system of the present invention may be implemented as an application or implemented in the form of program instructions that may be executed through various computer components and recorded in a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.

7 to 9 based on the foregoing, in the method of providing a big data-based book recommendation system, it includes the step of performing big data-based book data management in connection with book recommendation, wherein the book data management is The steps to be carried out, the step of designing the book data management system; a step in which the designed book data management system is implemented; and managing and providing book data based on the implemented book data management system.

Here, the book data management system includes a data management server that generates information for managing the holdings of the book based on the International Standard Book Number (ISBN) assigned to each data, a user terminal used by the book user, and a book It further includes an administrator terminal used by the administrator, and a server management unit for maintaining and managing the data management servers according to set conditions and to respond to external shocks.

The server management unit includes a lower panel body 310, an upper panel body 410 disposed to face the lower panel body 310, the lower panel body 310 and the upper panel body 410 ) is provided on one side between, and is connected to the upper panel body 410 as a first upper movable body 321 that moves upwards, and is a first lower movable body 322 that moves downwards, the lower panel body 310 and The upper panel body 410 as a second upper moving body 341 which is provided on the other side between the one side interlocking body 320 to be connected and the lower panel body 310 and the upper panel body 410 and moves upward. The other side interlocking body 340 connected to the lower panel body 310 as a second lower movable body 342 that is connected to and moves downward, and a bar-shaped first interlocking body from the one side interlocking body 320 to the inside. The first server mounting body 350 for mounting and fixing of the data management server and the other side interlocking body 340 are interlocked and installed inwardly as a bar-shaped second interlocking body, and together with the first server and a second server mounting body 360 for mounting and fixing the data management server.

Here, the first server mounting body 350 includes a first mounting body 351 connected to the first interlocking body, and a first outer holding body provided at the upper end and lower end of the first mounting body 351, respectively. (3511, 3512), and a plurality of first inserting plates (3513) alternately provided between the first outer gripper on the first mounting body (351).

The second server mounting body 360 is a second mounting body 361 connected to the second interlocking body, and a second outer holding body provided at the upper end and the lower end of the second mounting body 361, respectively. It includes (3611, 3612) and a plurality of second insertion plates (3613) alternately provided between the second outer holding body on the second mounting body (361). The first interlocking body is a 1-1 interlocking body 331 and a 1-2 interlocking body rotatably installed in the 1-1 interlocking body 331 and connected to the first mounting body 351 . and a sieve 332 .

In addition, the second interlocking body is a 2-1 interlocking body 341 and a 2-2 second interlocking body 341 which is rotatably installed in the 2-1 interlocking body 341 and connected to the second mounting body 361 . a linkage 342 . The first mounting body 351 and the second mounting body 361 include a first axial rotation of the 1-2 interlocking body 332 in a first direction, and the 2-2 interlocking body 342 . ) based on a second shaft rotation in a second direction opposite to the first direction of rotation and press and fix the data management server.

The first insertion plate (3513) and the second insertion plate (3613) are spaced apart so that the position of each other is adjusted so that a plurality of the data management servers are mounted according to the standard, and the first insertion pin to the first insertion plate (3613) Each of the two insert plates 3613 is at least partially axially rotated at a set angle to fix the mounted data management server 100 .

The upper panel body 410, the server management unit, a flange-type first cooling body 411 and the first cooling body 411 are installed downward from the first cooling body 411 through the upper panel body 410, A first cooling reinforcement including a first cooling entry body 412 that enters the inside is provided, and the first cooling reinforcement is the top panel body 410 to create a necessary environment for cooling the data management server. is optionally installed in the singular or plural.

In addition, a flange-type second cooling body 511, and a second cooling entry body 512 installed upward from the second cooling body 511 and penetrating the lower panel body 310 to enter the interior. A second cooling reinforcement is provided, and the second cooling reinforcement is selectively installed in one or a plurality of the lower panel body 310 to create a necessary environment for cooling the data management server.

Here, a flange-type third cooling body 611 and a third cooling entry body 612 installed upward from the third cooling body 611 and penetrating the one-side interlocking body 320 to enter the inside. A third cooling reinforcement is provided, and the third cooling reinforcement is selectively installed in one or a plurality of the one side interlocking body 320 to create a necessary environment for cooling the data management server.

In addition, a flange-type fourth cooling body 711 and a fourth cooling entry body 712 installed upward from the fourth cooling body 711 and penetrating the other side interlocking body 340 to enter the inside. A fourth cooling reinforcement is provided, and the fourth cooling reinforcement is selectively installed in a single or plural number on the other side interlocking body 340 to create a necessary environment for cooling the data management server.

On the other hand, the data management server managing unit is provided on the first cooling body 411, and is provided with a first closing insert 811 that enters between the first cooling bodies 411 and closes the space therebetween. The first outer panel part 810 to be formed, and a second closing insert 821 provided under the second cooling body 511 and entering between the second cooling bodies 511 to close the space therebetween is provided. The provided second outer panel part 820 and the third closing insert 831 provided on the outside of the one side interlocking body 320 and entering between the third cooling bodies 611 to close the space therebetween are provided. A third outer panel part 830 provided and a fourth closing insert 841 provided outside the other side interlocking body 340 and entering between the fourth cooling bodies 711 to close the space therein It further includes a fourth outer panel unit 840 that is provided.

In this case, the data management server managing unit includes a first corner mounting body 910 provided in a corner between the first outer panel unit 810 and the third outer panel unit 830, and the first outer panel unit. A second corner mounting body 920 provided in a corner portion between the panel unit 810 and the fourth outer panel unit 840, the second outer panel unit 820 and the third outer panel unit 830 ) a third corner mounting body 930 provided at a corner between the 940).

The first corner mounting body 910 and the second corner mounting body 920 use the first outer panel unit 810 as a communication path to supply cool air to the inside of the first outer panel unit 810, , the third corner mounting body 930 and the fourth corner mounting body 940 use the second outer panel unit 820 as a communication path to supply cool air to the inside of the first outer panel unit 810 . do.

In addition, the first corner mounting body 910 and the third corner mounting body 930 use the third outer panel unit 830 as a communication path to supply cool air to the inside of the third outer panel unit 830 . and the second corner mounting body 920 and the fourth corner mounting body 940 use the fourth outer panel unit 840 as a communication path to cool the inside of the fourth outer panel unit 840. supply

On the other hand, the data management server managing unit is provided with a symmetrical L-shaped first corner built-in body 911 at one corner of the upper panel to prevent cold air from leaking and outside air from flowing in, and the other corner of the upper panel The L-shaped second corner embedded body 921 is provided on the part to prevent cold air from leaking and outside air from flowing in. On the other hand, a symmetrical L-shaped third corner embedded body 931 is provided at one corner of the lower panel to prevent cold air outflow and outside air inflow, and the other corner of the upper panel has a L-shaped fourth corner embedded. A sieve 941 is provided to prevent cold air outflow and outside air inflow.

The driving method of the physical components described above is based on a motor, an actuator, etc., and the forward and backward movement and rotational movement are made, and the shape and size of each component can be variously selected and provided according to the installation site and materials to be implemented. . Although the present invention has been described with reference to the embodiment shown in the drawings, which is merely exemplary, it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible therefrom. Accordingly, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

1000: library material management system
10: user terminal
20: administrator terminal
100: Data management server?

Claims (3)

In the big data-based book recommendation system operating facility,
A data management server that generates information for managing the collection of the book based on the International Standard Book Number (ISBN) assigned to each material, a user terminal used by book users, and an administrator terminal used by the administrator; and a book data management system provided with a server management unit that maintains and manages the data management servers according to set conditions and manages them to respond to external shocks,
The server management unit,
A lower panel body 310, an upper panel body 410 disposed to face the lower panel body 310, and one side between the lower panel body 310 and the upper panel body 410, One side interlocking body 320 connected to the upper panel body 410 with a first upper moving body 321 that moves upward, and connected with the lower panel body 310 with a first lower moving body 322 moving downward. Wow,
A second upper movable body 341 that is provided on the other side between the lower panel body 310 and the upper panel body 410 and moves upward is connected to the upper panel body 410 and moves downward. The other side interlocking body 340 connected to the lower panel body 310 by a lower moving body 342,
A first server mounting body 350 for interlocking installation with a bar-shaped first interlocking body from the one side interlocking body 320 to the inside and for fixing the data management server;
The other side interlocking body 340 is interlocked with a bar-shaped second interlocking body toward the inside and includes a second server mounting body 360 for mounting and fixing the data management server together with the first server mounting body 350 but,
The first server mounting body 350,
A first mounting body 351 connected to the first interlocking body, first outer grippers 3511 and 3512 respectively provided at the upper end and lower end of the first mounting body 351, and the first mounting body On (351), a plurality of first insert plates (3513) alternately provided between the first outer gripping members are included,
The second server mounting body 360,
A second mounting body 361 connected to the second interlocking body, second outer holding bodies 3611 and 3612 respectively provided at the upper end and lower end of the second mounting body 361, and the second mounting body On (361), it includes a plurality of second insert plates (3613) alternately provided between the second outer gripping body,
The first interlocking body,
It includes a 1-1 interlocking body 331 and a 1-2 interlocking body 332 rotatably installed in the 1-1 interlocking body 331 and connected to the first mounting body 351, ,
The second linkage is
It includes a 2-1 interlocking body 341 and a 2-2 interlocking body 342 rotatably installed in the 2-1 interlocking body 341 and connected to the second mounting body 361, ,
The first mounting body 351 and the second mounting body 361 are,
A first axial rotation of the first-2 linkage body 332 in a first direction, and a second axis rotation of the second-2 linkage body 342 in a second direction opposite to the first direction Based on the rotational force pressurizing and fixing the data management server,
The first insert plate (3513) and the second insert plate (3613) are spaced apart so that the position of each other is adjusted so that a plurality of the data management server is mounted according to the standard,
The first inserting plate 3513 to the second inserting plate 3613 are each at least partly axially rotated at a set angle to fix the mounted data management server 100 .
The server management unit,
First comprising a flange-type first cooling body 411, and a first cooling entry body 412 installed downward from the first cooling body 411 and entering the inside through the upper panel body 410 1A cooling reinforcement is provided,
The first cooling reinforcement is selectively installed in singular or plural in the upper panel body 410 to create a necessary environment for cooling the data management server,
A second including a flange-type second cooling body 511 and a second cooling entry body 512 installed upward from the second cooling body 511 and entering the inside through the lower panel body 310 . A cooling reinforcement is provided,
The second cooling reinforcement is selectively installed in a single or a plurality of the lower panel body 310 to create a necessary environment for cooling the data management server,
A third including a flange-type third cooling body 611 and a third cooling entry body 612 installed upward from the third cooling body 611 and entering the inside through the one side interlocking body 320 . A cooling reinforcement is provided,
The third cooling reinforcement is selectively installed in one or a plurality of the one side interlocking body 320 to create a necessary environment for cooling the data management server,
A fourth including a flange-type fourth cooling body 711 and a fourth cooling entry body 712 installed upward from the fourth cooling body 711 and entering the inside through the other side interlocking body 340 A cooling reinforcement is provided,
The fourth cooling reinforcement is selectively installed singly or in plurality in the other side linkage 340 to create a necessary environment for cooling the data management server, a big data-based book recommendation system operating facility.
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