CN109992602A - Juvenile's digital reading guiding apparatus - Google Patents
Juvenile's digital reading guiding apparatus Download PDFInfo
- Publication number
- CN109992602A CN109992602A CN201910261855.2A CN201910261855A CN109992602A CN 109992602 A CN109992602 A CN 109992602A CN 201910261855 A CN201910261855 A CN 201910261855A CN 109992602 A CN109992602 A CN 109992602A
- Authority
- CN
- China
- Prior art keywords
- book
- level
- correlation
- degree
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a kind of juvenile's digital reading guiding apparatus, comprising: extraction unit, data acquisition unit, level-one screening unit, second level screening unit and arrangement display unit.Its one side of the invention can carry out automatic screening to books according to the interest and hobby of juvenile itself, on the other hand the guide that can be read according to contemporary and big other one-year-old juveniles, guarantee that the book of the reading of juvenile is all beneficial and suitable, and guiding function can be played, juvenile is made to form correct View on Reading；In addition as the age of juvenile increases, after forming more correct View on Reading, this equipment can reduce influence power of the non-subjective factor in screening to books according to the age, guarantee that the books recommended more meet the requirement of user.
Description
Technical field
The present invention relates to library common equipment fields.It is more particularly related to which a kind of juvenile's digital reading refers to
Draw equipment.
Background technique
The reading guiding apparatus of existing digital library is mostly that reader oneself is inquired online by keyword, interior
Appearance contains much information, and is difficult to choose suitable books for juvenile, and screening process is cumbersome, need user oneself according to title and
Abstract judged, can not intelligent screening, be easy to cause children lose reading interest；Secondly existing e-book screening side
Method is largely to be judged according to the hobby of reader oneself itself, and the adult for mental maturity is feasible, but right
For juvenile, juvenile is because the education time of receiving is limited, and intelligence is not opened, and recognition capability is lower, and the screening of too subjectivity is unfavorable
Correct View on Reading is formed in guidance juvenile, therefore adult books screening technique is not suitable for juvenile, lacks suitable for juvenile
Reading guide equipment.
Summary of the invention
It is an object of the invention to solve at least the above problems, and a kind of juvenile's digital reading guiding apparatus is provided,
On the one hand automatic screening can be carried out to books according to the interest and hobby of juvenile itself, it on the other hand can be according to contemporary
And the guide that big other one-year-old juveniles read, guarantee that the book of the reading of juvenile is all beneficial and suitable, and
Guiding function can be played, juvenile is made to form correct View on Reading；In addition it as the age of juvenile increases, is formed more correct
After View on Reading, this equipment can reduce influence power of the non-subjective factor in screening to books according to the age, guarantee to push away
The books recommended more meet the requirement of user.
In order to realize object of the present invention and further advantage, a kind of juvenile's digital reading guiding apparatus is provided, is wrapped
It includes:
Guiding apparatus ontology, equipment support, the guiding apparatus ontology include:
Extraction unit connect with the digital reading database in library, extracts the information material of e-book, comprising: electricity
The title and keyword of the philosophical works；
Data acquisition unit, be used to acquire the library card number of primary user, the age, gender, the books classification of hobby,
The keyword of the title for the e-book borrowed, the books classification of acquisition primary user hobby obtains set Ra, acquire user
The keyword for the e-book borrowed obtains set Rb, merge set RaAnd Rb, the keyword set R of primary user is obtained,
In, keyword set R also corresponds to library card number, age and the gender of user, and information is stored；
Level-one screening unit, connect with data acquisition unit and extraction unit, and each of set R keyword is existed
It is scanned in digital reading database, obtains the corresponding book list D to be selected of each keyword1,D2,…,Di,…,Dn, and
To each book list D to be selectediIt is assigned to initial value, is set as 1/n, wherein n is the total number of the book list to be selected；
Since the 1st set, by each book D to be selected in each book list to be selectediX carries out relatedness computation；It mentions
The keyword for taking book to be selected obtains keyword set R '；Calculate the keyword word frequency vector α (R) and keyword set R ' of keyword set R
Keyword word frequency vector α (R ')；Calculate book D to be selectediThe level-one degree of correlation of x and user:
Wherein, φ1For book D to be selectediThe x level-one degree of correlation, α (R) are the keyword word frequency vector of keyword set R, and α (R ') is
The keyword word frequency vector of keyword set R ',
Display unit is arranged, is connect with level-one screening unit, the level-one degree of correlation of obtained whole book to be selected will be whole
Book to be selected is according to its corresponding level-one degree of correlation φ1Numerical values recited arranged, obtain the electronics for meeting primary user demand
Book recommendation tables, and be shown on display interface.
Preferably, further includes:
Second level screening unit, the second level screening unit are connect with data acquisition unit and extraction unit, are acquired in data
The keyword for extracting m with the books of the secondary user of user's same age, identical gender borrowed in unit at random, obtains
To multiple keyword set Ri”∈(R1”,R2”,…..,Ri”,…..,Rm", m=3,4,5 ... n), and calculates keyword set Ri" with
The level-one degree of correlation of keyword set R ', as book D to be selectediThe level-one degree of correlation of x and secondary user is higher, then book D to be selectediX is also more
Suitable primary user is added to read, therefore in book D to be selectediOn the basis of the level-one degree of correlation of x and primary user, to book D to be selectediX with
The level-one degree of correlation of secondary user is cumulative, calculates user and book D to be selectediThe degree of correlation of x obtains second level degree of correlation φ2:
Wherein, φ2Indicate book D to be selectediThe second level degree of correlation of x and user, θmFor the secondary user of selection, Tm iIndicate second level
The keyword set number for the books that user had borrowed,Indicate book D to be selectediThe level-one degree of correlation of x and primary user,Indicate to
Select book DiThe level-one degree of correlation of x and secondary user；
Display unit is arranged, is connect with second level screening unit, it is related to the second level of primary user to obtain all books to be selected
Degree, by all books to be selected according to its corresponding second level degree of correlation φ2Numerical values recited arranged, obtaining meeting primary user needs
The e-book recommendation tables asked, and be shown on display interface.
Preferably, second level screening unit also extracts s more older than the secondary user one-year-old and identical three-level use of gender
The keyword of the books borrowed at family obtains multiple keyword set Qp∈(Q1”、Q2”、…..、QS", S=3,4,5 ... n),
And calculate QpWith the level-one degree of correlation of book keyword set R ' to be selectedThen first order calculation user and book D to be selectediThe degree of correlation of x obtains
Three-level degree of correlation φ3:
Wherein, φ3Indicate book D to be selectediThe three-level degree of correlation of x and primary user,For book D to be selectediX and primary user
The level-one degree of correlation,Indicate book D to be selectediThe level-one degree of correlation of x and secondary user,Indicate book D to be selectediX is with three-level user's
The level-one degree of correlation, θ m are the secondary user chosen, θsFor the three-level user of selection, Tm iIndicate the books that secondary user had borrowed
Keyword set number, Ts pIndicate the keyword set number for the books that three-level user had borrowed；
Display unit is arranged, is also connect with second level screening unit, the three-level of obtained whole book to be selected and primary user
The degree of correlation, by all books to be selected according to its corresponding three-level degree of correlation φ3Numerical values recited arranged, obtain meeting level-one use
The e-book recommendation tables of family demand, and be shown on display interface.
Preferably, the age of user is bigger, and judgement is stronger,WithCarrying out book D to be selectediX and primary user
Degree of correlation operation in accounting and age of user negative correlation, therefore first order calculation user and book D to be selectediThe correlation of x
Spend to obtain level Four degree of correlation φ4:
Wherein, φ4Indicate book D to be selectediThe level Four degree of correlation of x and primary user,For book D to be selectediX and primary user
The level-one degree of correlation,Indicate book D to be selectediThe level-one degree of correlation of x and secondary user,Indicate book D to be selectediX is with three-level user's
The level-one degree of correlation, θ m are the secondary user chosen, θsFor the three-level user of selection, Tm iIndicate the books that secondary user had borrowed
Keyword set number, Ts pIndicate the keyword set number of books that three-level user had borrowed, x be the age of user and x ∈ (0,
18]；
Wherein, display unit is arranged, is connect with second level screening unit, the four of obtained whole book to be selected and primary user
The grade degree of correlation, by all books to be selected according to its corresponding level Four degree of correlation φ4Numerical values recited arranged, obtain meeting level-one
The e-book recommendation tables of user demand, and be shown on display interface.
Preferably, the level-one degree of correlation that also whole books to be selected and primary user are calculated for the arrangement display unit
Size sequence is carried out, maximum value is obtainedAnd minimum valueBy maximum valueAnd minimum valueBetween value be divided between
Every 5 equal sections, the corresponding grade in each section:
Wherein, arrangement display unit after according to the corresponding degree of correlation is calculated accordingly, according to the corresponding degree of correlation
Size arranges book to be selected, while obtaining the e-book recommendation tables for meeting primary user demand, also shows corresponding electricity
The corresponding grade of the level-one degree of correlation of the philosophical works, and be indicated by the number of asterisk pattern.
Preferably, the extraction unit also extracts library classification number of the corresponding paper book of e-book in library
And bookshelf is numbered, and also shows that the corresponding paper book of the book exists accordingly in e-book recommendation tables in the arrangement display unit
Library classification number and bookshelf number in library.
The present invention is include at least the following beneficial effects:
1, it extracts and divides by the keyword for having borrowed books and hobby of keyword to e-book and user
Not carry out word frequency vectorization, calculate the degree of correlation between the word frequency vector of two keyword sets, size according to the degree of correlation carries out
Arrangement has accurately obtained the book recommendation table that suitable user reads, easy to operate quick, all using automatic operation, as a result
Accurately, user oneself is not needed to screen；
2, books are carried out by the people of identical gender, same age to user and the keyword set of big one-year-old user
The calculating of the degree of correlation, and the degree of correlation of the degree of correlation being calculated and user oneself is overlapped, so that books screen
To the guide of the cotemporary people or big one-year-old people of identical gender, avoids user when intelligence is immature, carry out subjectivity
Too strong e-book screening, can not cultivate correct View on Reading；
3, what books screening calculated can carried out to its subjective factor and other people objective factor according to the age of user
It is weighted in the process, after so that user is had certain distinguishing ability, personalization can be carried out according to the preference of oneself
Book recommendation is more in line with the demand of user.
Further advantage, target and feature of the invention will be partially reflected by the following instructions, and part will also be by this
The research and practice of invention and be understood by the person skilled in the art.
Specific embodiment
The present invention is described in further detail below, to enable those skilled in the art's refer to the instruction text being capable of evidence
To implement.
It should be appreciated that such as " having ", "comprising" and " comprising " term used herein do not allot one or more
The presence or addition of a other elements or combinations thereof.
The present invention provides a kind of juvenile's digital reading guiding apparatus, which, which is in, is applicable in and can also use in library,
It realizes that the digital reading library in equipment and library is attached by internet, realizes books screening operation, specific juvenile's number
Word is read to guide
Guiding apparatus ontology, equipment support, the guiding apparatus ontology include:
Extraction unit connect with the digital reading database in library, extracts the information material of e-book, comprising: electricity
The title and keyword of the philosophical works；
Data acquisition unit, be used to acquire the library card number of primary user, the age, gender, the books classification of hobby,
The keyword of the title for the e-book borrowed, the books classification of acquisition primary user hobby obtains set Ra, acquire user
The keyword for the e-book borrowed obtains set Rb, merge set RaAnd Rb, the keyword set R of primary user is obtained,
In, keyword set R also corresponds to library card number, age and the gender of user, and information is stored；
Level-one screening unit, connect with data acquisition unit and extraction unit, and each of set R keyword is existed
It is scanned in digital reading database, obtains the corresponding book list D to be selected of each keyword1,D2,…,Di,…,Dn, and
To each book list D to be selectediIt is assigned to initial value, is set as 1/n, wherein n is the total number of the book list to be selected；
Wherein, the number n of the keyword of set R is identical as the corresponding number of book list to be selected, meanwhile, each to
Select the number of the book in book list according in the digital reading library in library according to the keyword search to this book of book determine
Fixed, the word frequency vector of each book to be selected in all book lists to be selected carries out phase with the word frequency vector of the keyword set of user
The calculating of Guan Du, since the formula of calculating is the calculating of simple vector's correlation degree, although the quantity of book is very huge, existing
Having can be achieved on for technology, and arithmetic speed is rapid；
Since the 1st set, by each book D to be selected in each book list to be selectediX carries out relatedness computation；It mentions
The keyword for taking book to be selected obtains keyword set R '；Calculate the keyword word frequency vector α (R) and keyword set R ' of keyword set R
Keyword word frequency vector α (R ')；Calculate book D to be selectediThe level-one degree of correlation of x and user:
Wherein, φ1For book D to be selectediThe x level-one degree of correlation, α (R) are the keyword word frequency vector of keyword set R, and α (R ') is
The keyword word frequency vector of keyword set R ',
Wherein, the extracting mode of the word frequency vector of keyword set is that the number progress vector occurred according to keyword arranges
It arrives；
Display unit is arranged, is connect with level-one screening unit, the level-one degree of correlation of obtained whole book to be selected will be whole
Book to be selected is according to its corresponding level-one degree of correlation φ1Numerical values recited arranged, obtain the electronics for meeting primary user demand
Book recommendation tables, and be shown on display interface；
In this technical solution, specific application method is exemplified below:
Primary user inputs the library card number 0123456 of oneself, and the gender that extraction unit extracts user is male, and the age 7 years old,
The keyword set R for the books borroweda(A, B, C, D, E, F, G), the classification keyword of the interested books of primary user
Collect Rb(B, D, E, G, H, I, C) takes the union R (A, B, C, D, E, F, G, H, I) of two keyword sets；
Each of set R keyword is scanned in the digital reading library in library, due to there are 9 keys
Word, therefore 9 books lists are obtained, the number of results that the number of the book in each list is scanned for according to the keyword
Mesh determines；
Corresponding pass is obtained according to the frequency that these words occur in the classification of book and the interested books of primary user
The word frequency vector α (R) of keyword, { 20,40,66,59,69,76,85,23,13 }, once the sequence of the keyword in keyword set
It is just no longer changed after determination；
Since the 1st set, by each book D to be selected in each book list to be selectediX carries out relatedness computation；It mentions
Take book D to be selected11 keyword obtains keyword set R ' (T, Z, M, X, U, O, P, Y, A)；Calculate the keyword of keyword set R '
Word frequency vector α (R '), { 65,25,22,54,26,69,67,65,34 }；Calculate book D to be selected11 is related to the level-one of primary user
Degree:
In this way, successively calculate whole book and primary user to be selected and the degree of correlation；
Display unit is arranged, is connect with level-one screening unit, the level-one phase of obtained whole book to be selected and primary user
Guan Du obtains a level-one degree of correlation table；It is ranked up, is accorded with according to the size of the level-one degree of correlation in level-one degree of correlation table
Unify the e-book recommendation tables of grade user demand, and is shown on display interface；
The above automatic e-book screening for realizing primary user, the technical solution by the keyword to e-book with
And user borrowed books and the keyword of hobby extracts and carries out word frequency vectorization respectively, calculate two keyword sets
Word frequency vector between the degree of correlation, size according to the degree of correlation arranged, and the books that suitable user reads accurately have been obtained
Recommendation tables, it is easy to operate quick, all using automatic operation, as a result accurately, does not need user oneself and screen.
In another technical solution, further includes:
Second level screening unit, the second level screening unit are connect with data acquisition unit and extraction unit, are acquired in data
The keyword for extracting m with the books of the secondary user of user's same age, identical gender borrowed in unit at random, obtains
To multiple keyword set Ri”∈(R1”,R2”,…..,Ri”,…..,Rm", m=3,4,5 ... n), and calculates keyword set Ri" with
The level-one degree of correlation of keyword set R ', as book D to be selectediThe level-one degree of correlation of x and secondary user is higher, then book D to be selectediX is also more
Suitable primary user is added to read, therefore in book D to be selectediOn the basis of the level-one degree of correlation of x and primary user, to book D to be selectediX with
The level-one degree of correlation of secondary user is cumulative, calculates user and book D to be selectediThe degree of correlation of x obtains second level degree of correlation φ2:
Wherein, φ2Indicate book D to be selectediThe second level degree of correlation of x and user, θmFor the secondary user of selection, Tm iIndicate second level
The keyword set number for the books that user had borrowed,Indicate book D to be selectediThe level-one degree of correlation of x and primary user,Indicate to
Select book DiThe level-one degree of correlation of x and secondary user；
Display unit is arranged, is connect with second level screening unit, it is related to the second level of primary user to obtain all books to be selected
Degree, by all books to be selected according to its corresponding second level degree of correlation φ2Numerical values recited arranged, obtaining meeting primary user needs
The e-book recommendation tables asked, and be shown on display interface；
Specific calculation method is that all book and primary user to be screened have been obtained in a upper technical solution
The level-one degree of correlation；
Extraction unit randomly selects 3 secondary users identical with age of user, and the book borrowed according to them extracts
The keyword set of corresponding secondary user's name, R1", R2" and R3", calculate corresponding word frequency vector α (R1"), α (R2"), α (R3"),
Calculate separately again the book that these three secondary users had borrowed keyword set and book D to be selected11 degree of correlation, according to level-one phase
The formula of Guan Du is calculated,It omits herein, the phase that then will be obtained
The level-one degree of correlation answered is brought into the calculation formula of the second level degree of correlation and is calculated:
Successively calculate the second level degree of correlation of each book to be selected；
Display unit is arranged, is connect with second level screening unit, the second level phase of obtained whole book to be selected and primary user
Guan Du obtains a second level degree of correlation table；It is ranked up, is accorded with according to the size of the second level degree of correlation in second level degree of correlation table
Unify the e-book recommendation tables of grade user demand, and is shown on display interface；The e-book recommendation tables are recommended with contemporary
Property, it is suitble to juvenile to use；
Using the technical solution, pass through the keyword for the book that the people of identical gender, same age to user had borrowed
Collection carries out the calculating of the books degree of correlation, and the degree of correlation of the degree of correlation being calculated and primary user oneself is overlapped, and makes
Books screening obtain identical gender cotemporary people guide, avoid user when intelligence is immature, progress subjectivity
Too strong e-book screening, can not cultivate correct View on Reading.
In another technical solution, second level screening unit also extracts s more older than secondary user one-year-old and gender phases
The keyword for the books of same three-level user borrowed, obtains multiple keyword set Qp∈(Q1”、Q2”、…..、QS", S=
3,4,5 ... n), and calculates QpWith the level-one degree of correlation of book keyword set R ' to be selectedThen first order calculation user and book D to be selectediX's
The degree of correlation obtains three-level degree of correlation φ3:
Wherein, φ3Indicate book D to be selectediThe three-level degree of correlation of x and primary user,For book D to be selectediX and primary user
The level-one degree of correlation,Indicate book D to be selectediThe level-one degree of correlation of x and secondary user,Indicate book D to be selectediX is with three-level user's
The level-one degree of correlation, θ m are the secondary user chosen, θsFor the three-level user of selection, Tm iIndicate the books that secondary user had borrowed
Keyword set number, Ts pIndicate the keyword set number for the books that three-level user had borrowed；
Display unit is arranged, is also connect with second level screening unit, the three-level of obtained whole book to be selected and primary user
The degree of correlation, by all books to be selected according to its corresponding three-level degree of correlation φ3Numerical values recited arranged, obtain meeting level-one use
The e-book recommendation tables of family demand, and be shown on display interface.
Specific calculation method is that the pass for the book of secondary user borrowed has been obtained in a upper technical solution
The level-one degree of correlation of keyword collection and book to be selected, at this point, second level screening unit also extracts 2 more older than secondary user one-year-old and property
The keyword for the books that not identical three-level user had borrowed, obtains keyword set Q1" and Q2", calculate corresponding word frequency vector
α(Q1") and α (Q2"), then calculate separately the book that the two three-levels user had borrowed keyword set and book D to be selected11 correlation
Degree, is calculated according to the formula of the level-one degree of correlation, is obtainedIt omits, then will obtain herein
The corresponding level-one degree of correlation bring into the calculation formula of the three-level degree of correlation and calculated:
Successively calculate the three-level degree of correlation of each book to be selected；
Display unit is arranged, is connect with second level screening unit, the three-level phase of obtained whole book to be selected and primary user
Guan Du obtains a three-level degree of correlation table；It is ranked up, is accorded with according to the size of the three-level degree of correlation in three-level degree of correlation table
Unify the e-book recommendation tables of grade user demand, and is shown on display interface；The e-book recommendation tables are recommended with contemporary
Property, it is suitble to juvenile to use；
Using the technical solution, pass through the people of identical gender, same age to user and the pass of big one-year-old user
Keyword collection carries out the calculating of the books degree of correlation, and the degree of correlation of the degree of correlation being calculated and primary user oneself is folded
Add, so that the screening of e-book obtains the guide of the cotemporary people or big one-year-old people of identical gender, avoids user in the heart
When intelligence is immature, the too strong e-book screening of subjectivity is carried out, correct View on Reading can not be cultivated.
In another technical solution, the age of user is bigger, and judgement is stronger,WithCarrying out book D to be selectedix
With the accounting and age of user negative correlation in the degree of correlation operation of primary user, therefore first order calculation user and book to be selected
DiThe degree of correlation of x obtains level Four degree of correlation φ4:
Wherein, φ4Indicate book D to be selectediThe level Four degree of correlation of x and primary user,For book D to be selectediX and primary user
The level-one degree of correlation,Indicate book D to be selectediThe level-one degree of correlation of x and secondary user,Indicate book D to be selectediX is with three-level user's
The level-one degree of correlation, θ m are the secondary user chosen, θsFor the three-level user of selection, Tm iIndicate the books that secondary user had borrowed
Keyword set number, Ts pIndicate the keyword set number of books that three-level user had borrowed, x be the age of user and x ∈ (0,
18]；
Wherein, display unit is arranged, is connect with second level screening unit, the four of obtained whole book to be selected and primary user
The grade degree of correlation, by all books to be selected according to its corresponding level Four degree of correlation φ4Numerical values recited arranged, obtain meeting level-one
The e-book recommendation tables of user demand, and be shown on display interface.
Specific calculation method is in the above-mentioned technical solutions, clearly to obtainWithOccurrence,
The age for clearly knowing primary user is 7 years old, brings the calculation formula of the level Four degree of correlation into:
Successively calculate the level Four degree of correlation of each book to be selected；
Display unit is arranged, is connect with second level screening unit, the level Four phase of obtained whole book to be selected and primary user
Guan Du obtains a level Four degree of correlation table；It is ranked up, is accorded with according to the size of the level Four degree of correlation in level Four degree of correlation table
Unify the e-book recommendation tables of grade user demand, and is shown on display interface；The e-book recommendation tables are recommended with contemporary
Property, it is suitble to juvenile to use；
Using the technical solution, its subjective factor and other people objective factor can carried out according to the age of user
Books screening is weighted during calculating, can be according to the inclined of oneself after so that user is had certain distinguishing ability
It is good to carry out personalized book recommendation, it is more in line with the demand of user.
In another technical solution, the level-one for arranging display unit and also whole books to be selected and user being calculated
The degree of correlation carries out size sequence, obtains maximum valueAnd minimum valueBy maximum valueAnd minimum valueBetween value
It is divided into and is spaced 5 equal sections, the corresponding grade in each section:
Wherein, arrangement display unit after according to the corresponding degree of correlation is calculated accordingly, according to the corresponding degree of correlation
Size arranges book to be selected, while obtaining the e-book recommendation tables for meeting primary user demand, also shows corresponding electricity
The corresponding grade of the level-one degree of correlation of the philosophical works, and be indicated by the number of asterisk pattern；
Using the technical solution, user more intuitive can be made to learn whether the book of selection meets the demand of oneself, more
Be suitble to juvenile to use, for the especially strong user of subjectivity, according to the corresponding level-one degree of correlation of calculating, the second level degree of correlation,
After the three-level degree of correlation or the level Four degree of correlation obtain book list to be selected, additionally it is possible to show the book only root according to the asterisk number after title
According to the grade that the subjective factor of primary user itself is screened, makes primary user that there are more choices, fully understand
The book to be selected and the degree of correlation of oneself and contemporary.
In another technical solution, the extraction unit also extracts figure of the corresponding paper book of e-book in library
Book shop classification number and bookshelf are numbered, and also show that the book is corresponding in the arrangement display unit accordingly in e-book recommendation tables
Library classification number of the paper book in library and bookshelf number；
Using the technical solution, allow primary user when being not desired to reading electronic book according to corresponding papery behind the book
Library classification number and bookshelf of the book in library are numbered to borrow paper book, and user is facilitated to select reading method, broadening
The use scope of user.
Number of devices and treatment scale described herein are for simplifying explanation of the invention.To juvenile's number of the present invention
Read the application of guiding apparatus, modifications and variations will be readily apparent to persons skilled in the art.
Although the embodiments of the present invention have been disclosed as above, but its is not only in the description and the implementation listed
With it can be fully applied to various fields suitable for the present invention, for those skilled in the art, can be easily
Realize other modification, therefore without departing from the general concept defined in the claims and the equivalent scope, the present invention is simultaneously unlimited
In specific details and legend shown and described herein.
Claims (6)
1. juvenile's digital reading guiding apparatus, including guiding apparatus ontology, equipment support, which is characterized in that the guide is set
Include: for ontology
Extraction unit connect with the digital reading database in library, extracts the information material of e-book, comprising: e-book
Title and keyword；
Data acquisition unit is used to acquire the library card number of primary user, the age, gender, the books classification of hobby, has borrowed
The keyword of the title for the e-book read, the books classification of acquisition primary user hobby obtains set Ra, acquire primary user
The keyword for the e-book borrowed obtains set Rb, merge set RaAnd Rb, the keyword set R of primary user is obtained,
In, keyword set R also corresponds to library card number, age and the gender of primary user, and information is stored；
Level-one screening unit, connect with data acquisition unit and extraction unit, by each of set R keyword in number
It reads in database and scans for, obtain the corresponding book list D to be selected of each keyword1,D2,…,Di,…,Dn, and to every
One book list D to be selectediIt is assigned to initial value, is set as 1/n, wherein n is the total number of the book list to be selected；
Since the 1st set, by each book D to be selected in each book list to be selectediX carries out relatedness computation；It extracts to be selected
The keyword of book obtains keyword set R '；Calculate the key of keyword word frequency vector α (R) and keyword set R ' of keyword set R
Word word frequency vector α (R ')；Calculate book D to be selectediThe level-one degree of correlation of x and primary user:
Wherein, φ1For book D to be selectediThe x level-one degree of correlation, α (R) are the keyword word frequency vector of keyword set R, and α (R ') is key
The keyword word frequency vector of word set R ',
Display unit is arranged, is connect with level-one screening unit, the level-one degree of correlation of obtained whole book to be selected, it will be all to be selected
Book is according to its corresponding level-one degree of correlation φ1Numerical values recited arranged, the e-book for obtaining meeting primary user demand pushes away
Table is recommended, and is shown on display interface.
2. juvenile's digital reading guiding apparatus as described in claim 1, which is characterized in that further include:
Second level screening unit, the second level screening unit is connect with data acquisition unit and extraction unit, in data acquisition unit
In extract the keyword of m with the books of the secondary user of user's same age, identical gender borrowed at random, obtain more
A keyword set Ri”∈(R1”,R2”,…..,Ri”,…..,Rm", m=3,4,5 ... n), and calculates keyword set Ri" and it is crucial
The level-one degree of correlation of word set R ', as book D to be selectediThe level-one degree of correlation of x and secondary user is higher, then book D to be selectediX is also more suitable
It closes primary user to read, therefore in book D to be selectediOn the basis of the level-one degree of correlation of x and primary user, add up book D to be selectediX and two
The level-one degree of correlation of grade user, first order calculation user and book D to be selectediThe degree of correlation of x obtains second level degree of correlation φ2:
Wherein, φ2Indicate book D to be selectediThe second level degree of correlation of x and primary user, θmFor the secondary user of selection, Tm iIndicate second level
The keyword set number for the books that user had borrowed,Indicate book D to be selectediThe level-one degree of correlation of x and primary user,Indicate to
Select book DiThe level-one degree of correlation of x and secondary user；
Display unit is arranged, is connect with second level screening unit, the second level degree of correlation of all book and primary user to be selected is obtained, it will
All book to be selected is according to its corresponding second level degree of correlation φ2Numerical values recited arranged, obtain meeting primary user demand
E-book recommendation tables, and be shown on display interface.
3. juvenile's digital reading guiding apparatus as claimed in claim 2, which is characterized in that second level screening unit also extracts s
The keyword for the books of the identical three-level user of more older than secondary user one-year-old and gender borrowed, obtains multiple keys
Word set Qp∈(Q1”、Q2”、…..、QS", S=3,4,5 ... n), and calculates QpWith the level-one degree of correlation of book keyword set R ' to be selectedThen first order calculation user and book D to be selectediThe degree of correlation of x obtains three-level degree of correlation φ3:
Wherein, φ3Indicate book D to be selectediThe three-level degree of correlation of x and primary user,For book D to be selectediThe level-one of x and primary user
The degree of correlation,Indicate book D to be selectediThe level-one degree of correlation of x and secondary user,Indicate book D to be selectediThe level-one phase of x and three-level user
Guan Du, θ m are the secondary user chosen, θsFor the three-level user of selection, Tm iIndicate the key for the books that secondary user had borrowed
Word set number, Ts pIndicate the keyword set number for the books that three-level user had borrowed；
Display unit is arranged, is also connect with second level screening unit, obtained whole book to be selected is related to the three-level of primary user
Degree, by all books to be selected according to its corresponding three-level degree of correlation φ3Numerical values recited arranged, obtaining meeting primary user needs
The e-book recommendation tables asked, and be shown on display interface.
4. juvenile's digital reading guiding apparatus as claimed in claim 3, which is characterized in that the age of user is bigger, judges energy
Power is stronger,WithCarrying out book D to be selectediAccounting and age of user in the degree of correlation operation of x and primary user is negatively correlated
Relationship, therefore first order calculation user and book D to be selectediThe degree of correlation of x obtains level Four degree of correlation φ4:
Wherein, φ4Indicate book D to be selectediThe level Four degree of correlation of x and primary user,For book D to be selectediThe level-one of x and primary user
The degree of correlation,Indicate book D to be selectediThe level-one degree of correlation of x and secondary user,Indicate book D to be selectediThe level-one phase of x and three-level user
Guan Du, θ m are the secondary user chosen, θsFor the three-level user of selection, Tm iIndicate the key for the books that secondary user had borrowed
Word set number, Ts pIndicate the keyword set number of books that three-level user had borrowed, x be the age of user and x ∈ (0,18]；
Wherein, display unit is arranged, is connect with second level screening unit, the level Four phase of obtained whole book to be selected and primary user
Guan Du, by all books to be selected according to its corresponding level Four degree of correlation φ4Numerical values recited arranged, obtain meeting primary user
The e-book recommendation tables of demand, and be shown on display interface.
5. such as juvenile's digital reading guiding apparatus of any of claims 1-4, which is characterized in that the arrangement is shown
The level-one degree of correlation that all book to be selected and user are calculated also is carried out size sequence by unit, obtains maximum valueAnd minimum
ValueBy maximum valueAnd minimum valueBetween value be divided into and be spaced equal 5 sections, each section is one corresponding
Grade:
Wherein, arrangement display unit is after obtaining the corresponding degree of correlation according to corresponding accumulation calculating, according to the corresponding degree of correlation
Size arranges book to be selected, while obtaining the e-book recommendation tables for meeting primary user demand, also shows corresponding electricity
The corresponding grade of the level-one degree of correlation of the philosophical works, and be indicated by the number of asterisk pattern.
6. juvenile's digital reading guiding apparatus as described in claim 1, which is characterized in that the extraction unit also extracts electronics
Library classification number and bookshelf of the corresponding paper book of book in library are numbered, in e-book in the arrangement display unit
Library classification number and bookshelf number of the corresponding paper book of the book in library are also shown in recommendation tables accordingly.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910261855.2A CN109992602B (en) | 2019-04-02 | 2019-04-02 | Digital reading guiding equipment for children |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910261855.2A CN109992602B (en) | 2019-04-02 | 2019-04-02 | Digital reading guiding equipment for children |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109992602A true CN109992602A (en) | 2019-07-09 |
| CN109992602B CN109992602B (en) | 2023-05-16 |
Family
ID=67131358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910261855.2A Active CN109992602B (en) | 2019-04-02 | 2019-04-02 | Digital reading guiding equipment for children |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109992602B (en) |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101814083A (en) * | 2010-01-08 | 2010-08-25 | 上海复歌信息科技有限公司 | Automatic webpage classification method and system |
| CN103176982A (en) * | 2011-12-20 | 2013-06-26 | 中国移动通信集团浙江有限公司 | Recommending method and recommending system of electronic book |
| WO2013104922A1 (en) * | 2012-01-13 | 2013-07-18 | Mobcast Services Limited | System and method for generating a list of recommended items |
| CN103226617A (en) * | 2013-05-17 | 2013-07-31 | 蒋锋 | Cloud computing goods information searching system and method |
| CN103365899A (en) * | 2012-04-01 | 2013-10-23 | 腾讯科技（深圳）有限公司 | Question recommending method and question recommending system both in questions-and-answers community |
| KR20140004023A (en) * | 2012-07-02 | 2014-01-10 | 주식회사 아이북랜드 | User-customized book click system and method |
| CN103617157A (en) * | 2013-12-10 | 2014-03-05 | 东北师范大学 | Text similarity calculation method based on semantics |
| CN105139237A (en) * | 2015-09-25 | 2015-12-09 | 百度在线网络技术（北京）有限公司 | Information push method and apparatus |
| CN106021562A (en) * | 2016-05-31 | 2016-10-12 | 北京京拍档科技有限公司 | Method for recommending E-commerce platform based on theme relevance |
| CN106649879A (en) * | 2017-01-10 | 2017-05-10 | 重庆公共运输职业学院 | Method for intelligent recommendation of professional book in library |
| CN106777139A (en) * | 2016-12-19 | 2017-05-31 | 浙江工业大学 | User based on reading time reads the personalized push method of preference statistics |
| CN107025310A (en) * | 2017-05-17 | 2017-08-08 | 长春嘉诚信息技术股份有限公司 | A kind of automatic news in real time recommends method |
| WO2017213396A1 (en) * | 2016-06-07 | 2017-12-14 | 주식회사 미래엔 | Method and apparatus for providing book recommendation service |
| CN107943910A (en) * | 2017-11-18 | 2018-04-20 | 电子科技大学 | A kind of Individual book based on combinational algorithm recommends method |
| CN108829773A (en) * | 2018-05-29 | 2018-11-16 | 深圳市零度智控科技有限公司 | Mobile terminal reads recommended method, mobile terminal and computer readable storage medium |
| CN109472286A (en) * | 2018-09-30 | 2019-03-15 | 浙江工业大学 | Books in University Library recommended method based on interest-degree model Yu the type factor |
-
2019
- 2019-04-02 CN CN201910261855.2A patent/CN109992602B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101814083A (en) * | 2010-01-08 | 2010-08-25 | 上海复歌信息科技有限公司 | Automatic webpage classification method and system |
| CN103176982A (en) * | 2011-12-20 | 2013-06-26 | 中国移动通信集团浙江有限公司 | Recommending method and recommending system of electronic book |
| WO2013104922A1 (en) * | 2012-01-13 | 2013-07-18 | Mobcast Services Limited | System and method for generating a list of recommended items |
| CN103365899A (en) * | 2012-04-01 | 2013-10-23 | 腾讯科技（深圳）有限公司 | Question recommending method and question recommending system both in questions-and-answers community |
| KR20140004023A (en) * | 2012-07-02 | 2014-01-10 | 주식회사 아이북랜드 | User-customized book click system and method |
| CN103226617A (en) * | 2013-05-17 | 2013-07-31 | 蒋锋 | Cloud computing goods information searching system and method |
| CN103617157A (en) * | 2013-12-10 | 2014-03-05 | 东北师范大学 | Text similarity calculation method based on semantics |
| CN105139237A (en) * | 2015-09-25 | 2015-12-09 | 百度在线网络技术（北京）有限公司 | Information push method and apparatus |
| CN106021562A (en) * | 2016-05-31 | 2016-10-12 | 北京京拍档科技有限公司 | Method for recommending E-commerce platform based on theme relevance |
| WO2017213396A1 (en) * | 2016-06-07 | 2017-12-14 | 주식회사 미래엔 | Method and apparatus for providing book recommendation service |
| CN106777139A (en) * | 2016-12-19 | 2017-05-31 | 浙江工业大学 | User based on reading time reads the personalized push method of preference statistics |
| CN106649879A (en) * | 2017-01-10 | 2017-05-10 | 重庆公共运输职业学院 | Method for intelligent recommendation of professional book in library |
| CN107025310A (en) * | 2017-05-17 | 2017-08-08 | 长春嘉诚信息技术股份有限公司 | A kind of automatic news in real time recommends method |
| CN107943910A (en) * | 2017-11-18 | 2018-04-20 | 电子科技大学 | A kind of Individual book based on combinational algorithm recommends method |
| CN108829773A (en) * | 2018-05-29 | 2018-11-16 | 深圳市零度智控科技有限公司 | Mobile terminal reads recommended method, mobile terminal and computer readable storage medium |
| CN109472286A (en) * | 2018-09-30 | 2019-03-15 | 浙江工业大学 | Books in University Library recommended method based on interest-degree model Yu the type factor |
Non-Patent Citations (4)
| Title |
|---|
| H. NIRWAN 等: "Personalized hybrid book recommender system using neural network", 《2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM)》 * |
| 何莹杰: "个性化图书信息服务技术研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 张霞: "少儿阅读指导浅析", 《科学咨询(科技·管理)》 * |
| 王文昊: "基于移动图书馆的个性化推荐算法的研究及应用", 《中国优秀博硕士学位论文全文数据库(硕士) 信息科技辑》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109992602B (en) | 2023-05-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hudson et al. | Gqa: a new dataset for compositional question answering over real-world images | |
| Zhu et al. | Building a large-scale multimodal knowledge base system for answering visual queries | |
| US5974422A (en) | Data processing methods and apparatus for supporting analysis/judgement | |
| CN104199875B (en) | Method and device is recommended in one kind search | |
| Giulianotti | Supporters, followers, fans, and flaneurs: A taxonomy of spectator identities in football | |
| CN110059271B (en) | Searching method and device applying tag knowledge network | |
| CN108363804A (en) | Partial model Weighted Fusion Top-N films based on user clustering recommend method | |
| Selke et al. | Pushing the boundaries of crowd-enabled databases with query-driven schema expansion | |
| CN106686063A (en) | Information recommendation method and apparatus, and electronic device | |
| WO2015200509A1 (en) | Determining affiliated colors from keyword searches of color palettes for color based searches | |
| MX2008015234A (en) | Bucket-based searching. | |
| CN110459214A (en) | Voice interactive method and device | |
| CN109241341A (en) | A kind of video display of knowledge based map preferentially recommender system and method | |
| CN107256513A (en) | Method and device is recommended in a kind of collocation of object | |
| CN106776701B (en) | Problem determination method and device for item recommendation | |
| CN103927339B (en) | Knowledge Reorganizing system and method for knowledge realignment | |
| CN110727813A (en) | Self-adaptive hot index sorting method for commodity pictures | |
| CN108280124A (en) | Product classification method and device, ranking list generation method and device, electronic equipment | |
| CN108920521A (en) | User's portrait-item recommendation system and method based on pseudo- ontology | |
| Jiang et al. | Visual font pairing | |
| CN109242593A (en) | A kind of clothes recommended method, device and the storage medium of case-based reasioning | |
| CN106971004A (en) | Search result provides method and device | |
| Sadovnik et al. | Image description with a goal: Building efficient discriminating expressions for images | |
| CN106776910A (en) | The display methods and device of a kind of Search Results | |
| CN109992602A (en) | Juvenile's digital reading guiding apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |