CN114154053A - Book recommendation method and device and storage medium - Google Patents
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Abstract
The embodiment of the application discloses a book recommendation method, equipment and a storage medium, and belongs to the field of learning education. The method comprises the following steps: a plurality of initial books is determined based on user information of a target user, the user information indicating one or more attributes of the target user. Determining a recommendation index for each of the plurality of initial books based on the learning condition of the target user, the recommendation index indicating a degree to which the corresponding book is recommended, the learning condition indicating a learning plan of the target user and/or an actual learning condition of the target user. One or more recommended books are determined from the plurality of initial books based on the recommendation index for each of the plurality of initial books. According to the method and the device for recommending the books, the recommended books are determined from the initial books according to the learning plan and the actual learning condition of the target user, the books can be recommended for the user according to the user requirements in a more targeted mode, the recommended books are exactly needed by the user, and therefore the book reading amount and the book reading efficiency of the user can be improved.
Description
Technical Field
The embodiment of the application relates to the field of learning education, in particular to a book recommendation method, book recommendation equipment and a storage medium.
Background
In recent years, education related departments pay more and more attention to the situation that students read books, and book list reading is recommended to the students every year. The book contents in the reading manuals are closely related to the current teaching material contents of the students, so that the students can find connection points with the teaching material contents from the books, and further know and consolidate the learning contents. However, the books in the reading list are recommended only according to the grade, the school date, and the like of the current student, the hunting range of the book contents is relatively wide, and the number of books in the recommended list is relatively large. For example, a three-year school student must read a book list, a hot book list, and so on. Moreover, the heavy school time occupies more students and the occupation time is uncertain, so that the students can easily select books from the numerous reading manuals to read without time at all, and the reading amount and the reading efficiency of the books of the students are greatly reduced.
Disclosure of Invention
The embodiment of the application provides a book recommendation method, equipment and a storage medium, and can solve the problem that the reading amount and the reading efficiency of books in the related art are reduced. The technical scheme is as follows:
in one aspect, a book recommendation method is provided, and the method includes:
determining a plurality of initial books based on user information of a target user, the user information indicating one or more attributes of the target user;
determining a recommendation index for each of the plurality of initial books based on a learning context of the target user, the recommendation index indicating a degree to which the respective book is recommended, the learning context indicating a learning plan of the target user and/or an actual learning context of the target user;
determining one or more recommended books from the plurality of initial books based on the recommendation index for each of the plurality of initial books.
Optionally, in a case that the target user is a student, the determining a plurality of initial books based on the user information of the target user includes:
determining a book list recommended for the target user by each of one or more organizations based on the user information of the target user, wherein the user information of the target user includes one or more of a grade of the target user, a geographic location of the target user, and a school of the target user;
and merging the books included in the book list recommended by the target user by each of the one or more organizations to obtain the plurality of initial books.
Optionally, in a case that the target user is a student, the determining a recommendation index for each of the plurality of initial books based on the learning condition of the target user includes:
determining one or more influence factors based on the learning condition of the target user, wherein the one or more influence factors comprise an unowned knowledge point, a currently learned knowledge point and a planned reading book;
obtaining a recommendation score configured for each of the one or more influence factors, wherein the recommendation score indicates a degree of influence of the corresponding influence factor on recommendation of the book;
and determining a recommendation index of each initial book based on the configured recommendation score of each influence factor in the one or more influence factors.
Optionally, after determining one or more recommended books from the plurality of initial books based on the recommendation index for each of the plurality of initial books, the method further comprises:
determining a reading plan for each of the one or more recommended books;
and displaying the reading plan of each recommended book in the one or more recommended books.
Optionally, in a case that the target user is a student, the determining a reading plan of each recommended book of the one or more recommended books includes:
according to the historical reading data of the target user, determining the average reading time of each recommended book in the one or more recommended books, the reading progress of the read recommended book in the one or more recommended books and the average time length of single reading of the target user;
determining the time length of the reference period of the target user, which can be used for reading, according to the current learning plan of the target user and the execution condition of the target user aiming at the current learning plan;
determining a reading plan of each recommended book of the one or more recommended books based on the time length that the target user reference cycle can be used for reading, the average reading time of each recommended book of the one or more recommended books, the reading progress of the recommended book that has been read of the one or more recommended books, and the average time length of single reading of the target user.
Optionally, the determining one or more recommended books from the plurality of initial books based on the recommendation index of each of the plurality of initial books comprises:
sequencing the plurality of initial books according to the sequence of the recommendation indexes from large to small;
and taking the sorted initial books positioned on the reference position as the one or more recommended books.
In another aspect, a computer device is provided, the computer device comprising a processor configured to:
determining a plurality of initial books based on user information of a target user, the user information indicating one or more attributes of the target user;
determining a recommendation index for each of the plurality of initial books based on a learning context of the target user, the recommendation index indicating a degree to which the respective book is recommended, the learning context indicating a learning plan of the target user and/or an actual learning context of the target user;
determining one or more recommended books from the plurality of initial books based on the recommendation index for each of the plurality of initial books.
Optionally, the processor is configured to:
determining a book list recommended for the target user by each of one or more organizations based on the user information of the target user, wherein the user information of the target user includes one or more of a grade of the target user, a geographic location of the target user, and a school of the target user;
and merging the books included in the book list recommended by the target user by each of the one or more organizations to obtain the plurality of initial books.
Optionally, the processor is configured to:
determining one or more influence factors based on the learning condition of the target user, wherein the one or more influence factors comprise an unowned knowledge point, a currently learned knowledge point and a planned reading book;
obtaining a recommendation score configured for each of the one or more influence factors, wherein the recommendation score indicates a degree of influence of the corresponding influence factor on recommendation of the book;
and determining a recommendation index of each initial book based on the configured recommendation score of each influence factor in the one or more influence factors.
Optionally, the processor is configured to:
determining a reading plan for each of the one or more recommended books;
and displaying the reading plan of each recommended book in the one or more recommended books.
Optionally, the processor is configured to:
according to the historical reading data of the target user, determining the average reading time of each recommended book in the one or more recommended books, the reading progress of the read recommended book in the one or more recommended books and the average time length of single reading of the target user;
determining the time length of the reference period of the target user, which can be used for reading, according to the current learning plan of the target user and the execution condition of the target user aiming at the current learning plan;
determining a reading plan of each recommended book of the one or more recommended books based on the time length that the target user reference cycle can be used for reading, the average reading time of each recommended book of the one or more recommended books, the reading progress of the recommended book that has been read of the one or more recommended books, and the average time length of single reading of the target user.
Optionally, the processor is configured to:
sequencing the plurality of initial books according to the sequence of the recommendation indexes from large to small;
and taking the sorted initial books positioned on the reference position as the one or more recommended books.
In another aspect, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the book recommendation method described above.
In another aspect, a computer program product containing instructions is provided, which when run on a computer, causes the computer to perform the steps of the book recommendation method described above.
The technical scheme provided by the embodiment of the application can at least bring the following beneficial effects:
according to the method and the device for recommending the books, the plurality of initial books are determined through the user information of the target user, and then the recommendation index of each of the plurality of initial books is determined according to the learning plan of the target user and/or the actual learning situation of the target user, wherein the recommendation index indicates the recommended degree of the corresponding book. Next, one or more recommended books are determined from the plurality of initial books based on the recommendation index for each of the plurality of initial books. Therefore, the recommended books are determined from the initial books according to the learning plan and the actual learning condition of the target user, and the books can be recommended for the user according to the requirements of the user in a more targeted manner, so that the recommended books are the most needed by the user at present, and the book reading amount and the reading efficiency of the user can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic illustration of an implementation environment provided by an embodiment of the present application;
fig. 2 is a block diagram of a server according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a book recommendation method according to an embodiment of the present application;
fig. 4 is a flowchart for determining an initial book according to an embodiment of the present application;
FIG. 5 is a score plot of an impact factor provided by an embodiment of the present application;
FIG. 6 is a flow chart of determining a reading plan provided by an embodiment of the present application;
FIG. 7 is a diagram of a recommended reading plan provided by an embodiment of the present application;
FIG. 8 is a schematic illustration of another recommended reading plan provided by an embodiment of the present application;
fig. 9 is a flowchart of a book recommendation method according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application more clear, the embodiments of the present application will be further described in detail with reference to the accompanying drawings.
Before explaining the book recommendation method provided by the embodiment of the present application in detail, an application scenario and an implementation environment provided by the embodiment of the present application are introduced.
In recent years, education-related departments pay more and more attention to the situation that students in middle and primary schools read books, more than 100 experts from the aspects of colleges, research institutions, schools, and the like are organized every year, and a' reading guidance catalog for students is researched and formulated to recommend reading book sheets for students. The teaching directory expands and extends the current Chinese course standard and the general-compiling Chinese teaching materials, books recommended for students in the teaching directory meet the requirement of content scientificity and accord with the reading and growth rules of primary and secondary school students, the course standard, the teaching materials, the teaching practice, the characteristics of the primary and secondary school subjects and the arrangement during class are comprehensively considered, and the supplement, deepening and expansion of the course content are also emphasized. The recommended book is consistent with the reading requirements of the current course standard and teaching materials, is closely related to the course standard and the teaching material contents of the corresponding subject, can find the connection points with the course standard requirements and the teaching material contents from the recommended book, and clearly shows the connection and gradient of the teaching segments.
Generally, the reading list recommended by education-related departments or teachers and parents is often presented to students as a list of the reading list divided by the grade and the school period, wherein the grade of each year approximately comprises dozens of books, and the students need to make reading plans to arrange reading time in order. However, the heavy school time occupies more time for students and the occupation time is uncertain, so that the reading plan established by the students is easily disturbed, and even the students do not have time to re-establish the reading plan to read books, thereby greatly reducing the reading amount and the reading efficiency of the books.
In addition, the existing book recommendation method is only used for recommending books for students according to factors such as the grade, the school time, the preference and the like of the students, for example, a three-grade primary school book list must be read, a book list is guessed and loved by you, a book list is popular, and the like. The recommendation method does not comprehensively consider the current learning condition of the student, how much time the student can read every day and the like, so that the probability of reading books recommended to the student is low.
Based on the above problems, the embodiment of the present application provides a book recommendation method, which analyzes the current learning condition of a target user in real time when recommending books for the target user, automatically generates recommended books, and provides a reading plan for the target user in combination with a learning plan or time plan of the target user to assist the target user in reading, so as to improve the book reading amount and the reading efficiency.
Referring to FIG. 1, FIG. 1 is a schematic diagram illustrating an implementation environment in accordance with an example embodiment. The implementation environment includes at least one terminal 101 and a server 102, and the terminal 101 can be communicatively coupled to the server 102. The communication connection may be a wired connection or a wireless connection, which is not limited in this embodiment of the present application.
The terminal 101 may be any electronic product capable of performing human-computer interaction with a user through one or more modes, such as a keyboard, a touch pad, a touch screen, a remote controller, voice interaction, or handwriting equipment. Examples of the PC include a Personal Computer (PC), a mobile phone, a smart phone, a Personal Digital Assistant (PDA), a Personal Digital Assistant (ppc) (pocket PC), a tablet PC, and a smart television. In this embodiment, the terminal 101 may specifically be an intelligent learning terminal such as a tablet.
The server 102 may be a server, a server cluster composed of a plurality of servers, or a cloud computing service center.
The terminal 101 is used for a target user such as a student to perform operations such as account login, learning plan management, answering, submitting reading information, and viewing recommended books or reading plans. The server 102 is used to process various information, thereby transmitting the processing result to the terminal 101.
For example, in the case where the target user is a student, referring to fig. 2, the server 102 may include a student information management unit, a learning situation management unit, an initial book sheet management unit, and a reading management unit.
The student information management unit is used for collecting and storing user information of students, the user information can also be called as basic information, and the user information comprises attributes of names, sexes, ages, province and city positions of families, schools, grades and the like of the students.
The learning condition management unit is used for collecting and storing various data of the learning conditions of students. The learning condition of the student comprises the learning condition of the student in school and the learning condition after school, the learning condition of the student in school can be divided into a school schedule, a curriculum schedule, an error book, a list of unowned knowledge points summarized by the student and the like, and the learning condition after school can be divided into the homework content and completion condition of the student, the learning schedule of the student, the answering condition of the student, the error book of the student, the analysis result of the unowned knowledge points and the like.
The initial book list management unit is used for collecting and storing a plurality of initial books for the target user. The plurality of initial books may be obtained by: and generating a basic initial book list and a special initial book list taking the school as a unit within the range of each province and city according to a reading guide directory of students issued by headquarters of education related departments, education related departments of each province and city, the school and the like and related book lists of hot knowledge points or hot examination points and the like of each province and city.
The reading management unit can comprise a historical reading management subunit, a book recommendation index subunit and a reading plan recommendation subunit. The historical reading management subunit is used for collecting and storing historical reading data of students. The historical reading data comprises a reading plan and reading historical records, and each historical record at least comprises a book read by a student, the time length for reading the book, the reading progress of the book and the like. And the book recommendation index subunit is used for calculating the recommendation index of each book in the initial book list of the student according to the learning condition of the student. The reading plan recommending subunit is used for making a one-day or multi-day reading plan according to each book in the recommended book list and by combining the learning condition and the historical reading data of the students.
The units and sub-units related in the server are software modules, and the software modules can realize corresponding functions through the method provided by the embodiment of the application.
In addition, those skilled in the art should understand that the terminal 101 and the server 102 are only examples, and other existing or future terminals or servers may be applicable to the embodiments of the present application, and are included in the scope of the embodiments of the present application and are included by reference herein.
The system architecture shown in fig. 1 is described by taking the terminal 101 and the server 102 as independent devices as an example. Optionally, the method provided in this embodiment of the present application may also be applied to a centralized terminal device, where the terminal device has the functions of the terminal 101 and the server 102 at the same time, which is not limited in this embodiment of the present application.
The following explains the book recommendation method provided in the embodiments of the present application in detail.
Fig. 3 is a flowchart of a book recommendation method provided in an embodiment of the present application, where the method is applied to a server. Referring to fig. 3, the method includes the following steps.
Step 301: the server determines a plurality of initial books based on user information of the target user, the user information indicating one or more attributes of the target user.
In some embodiments, in a case that the target user is a student, the book recommended for the target user by each of the one or more organizations may be determined based on user information of the target user, the user information of the target user including one or more of a grade of the target user, a geographic location of the target user, and a school of the target user. And merging the books included in the book list recommended by the target user by each of the one or more organizations to obtain a plurality of initial books.
The one or more organizations may be organizational units such as headquarters of education-related departments, education-related departments in provincial regions, and management departments of schools, and may be other organizations. The geographical location of the target user may be a province, a city, and the like where the student is located, or may be other geographical locations, which is not limited in the embodiment of the present application.
When the books recommended for the students by organizations such as headquarters of education-related departments, education-related departments in provincial areas, management departments of schools and the like are obtained according to the information of grades, geographical positions and schools where the students are located, the initial books can be determined together according to the books provided by other organizations.
For example, as shown in fig. 4, the implementation process of determining the initial book may be: the method comprises the steps of obtaining a book A recommended by students by headquarters of education-related departments according to the grades of the students, obtaining a book B recommended by the education-related departments in the province and city areas according to the province and city positions of the students, obtaining a book C composed of related books such as popular examination points of the province and city areas, and obtaining a book D recommended by a school management department according to the school in which the students are located. Then, the obtained book sheet A, B, C, D is merged with the books in the four book sheets to obtain an initial book sheet E, which includes a plurality of initial books. In addition, the obtaining step of the book slip A, B, C, D is not divided into the front and the back, and the embodiment of the present application is only illustrated as an example.
Step 302: the server determines a recommendation index for each of the plurality of initial books based on the learning condition of the target user, the recommendation index indicating a degree to which the corresponding book is recommended, the learning condition indicating a learning plan of the target user and/or an actual learning condition of the target user.
In some embodiments, in the case that the target user is a student, the implementation process of step 302 may be: determining one or more influence factors based on the learning condition of the target user, wherein the one or more influence factors comprise an unowned knowledge point, a currently learned knowledge point and a planned reading book; obtaining a recommendation score configured for each influence factor in one or more influence factors, wherein the recommendation score indicates the influence degree of the corresponding influence factor on book recommendation; and determining the recommendation index of each initial book based on the recommendation score configured by each of the one or more influence factors.
Specifically, the learning condition of the student includes information such as a learning plan of the student, a current learning progress, an error book, a book read historically, and a book reading plan. The points of the masterless knowledge of the students can be obtained from the wrong exercise books of the students and the masterless knowledge point lists summarized by the students. The current knowledge points learned by the students can be obtained from the learning plans formulated by the students, the current learning progress, the homework contents of the students and the completion conditions. The planned reading books described above can be obtained from the reading plan of the student and the historical reading books, and the planned reading books include books that the student has read but not read and books that are not read at all.
The method comprises the steps of obtaining influence factors aiming at the knowledge points which are not mastered, the knowledge points which are learned currently, books which are planned to be read and the like, namely obtaining a list of knowledge points which are not mastered by students, a list of knowledge points which are learned currently by students, a list of books which are read but not read by students and a list of completely unread books. Of course, other information in the learning condition of the student can also be used as an influence factor so as to determine the recommendation index of each initial book.
When determining the recommendation index of the initial book based on the influence factors, in some embodiments, the recommendation scores of all the involved influence factors may be summed and then averaged for the degree of involvement of each influence factor in the book, where averaging is to divide the summed result by the number of the influence factors, so as to obtain the recommendation index of the book. And then obtaining the recommendation index of each initial book in the plurality of initial books.
For example, based on the wrong answer book of the student, the list M of the mastered knowledge points of the student is obtained through analysis, based on the learning plan and the learning progress of the student, the list N of the knowledge points learned by the student currently is obtained through analysis, based on the history of reading books and reading plans of the student, the list F of books that the student has read but has not read and the list G of books that have not read completely are obtained through analysis, each element in the list M, N, F, G is used as an influence factor, and based on each book in the plurality of initial books obtained above, the recommended score of each influence factor is combined with the recommended score of each influence factor, as shown in fig. 5, the score of the recommended score of each influence factor in the initial book O is: m scored 10, N scored 8, F scored 6% read completion and G scored 4. Since there are a large number of contents relating to the list M of the unowned knowledge points in the book O, the score of M is the highest, and the recommendation scores of the remaining influence factors are determined based on the contents relating to the influence factors in the book O. And finally, adding all the recommended scores and taking the mean value to obtain the recommended index of the book O.
Step 303: the server determines one or more recommended books from the plurality of initial books based on the recommendation index for each of the plurality of initial books.
In some embodiments, the implementation of step 303 may be: and sequencing the plurality of initial books according to the descending order of the recommendation indexes. And taking the sorted initial books positioned on the reference position as one or more recommended books.
It should be noted that, the value of the reference position needs to be adjusted continuously through multiple tests, and the condition that the recommended book is read in the student, which is obtained based on the value each time, is used as a reference to determine whether the value of the reference position needs to be adjusted. For example, the reference position may be set to 10, and thus, the ten books ranked from the first to tenth are taken as the recommended books.
In addition, in some embodiments, after determining one or more recommended books from the plurality of initial books based on the recommendation index of each initial book, a reading plan may be created for the recommended books through the following two steps. The method comprises the following steps: and determining a reading plan of each recommended book in the one or more recommended books. Step two: and displaying the reading plan of each recommended book in the one or more recommended books.
The implementation process of the step one may be as follows: according to the historical reading data of the target user, the average reading time of each recommended book in the one or more recommended books, the reading progress of the recommended books which are already read in the one or more recommended books, and the average single-reading time of the target user are determined. And determining the time length of the reference period of the target user, which can be used for reading, according to the current learning plan of the target user and the execution condition of the target user aiming at the current learning plan. And determining a reading plan of each recommended book in the one or more recommended books based on the time length that the target user reference cycle can be used for reading, the average reading time of each recommended book in the one or more recommended books, the reading progress of the recommended book that has been read in the one or more recommended books and the average time length of single reading of the target user.
Under the condition that the target user is a student, according to historical reading data of the student, average reading time consumed when the student reads each recommended book and the reading progress of the read recommended books are obtained, the reading habit of the student is analyzed, and average reading time of the student is obtained. And obtaining the time length which can be read by the student in a certain reference period according to the current learning plan of the student and the execution condition of the student aiming at the plan. Of course, other information can be obtained through the historical reading data of the students, and the reading plan of each recommended book is determined according to all the information. The reading plan includes: each recommended book, the number of reading days for that book, the total length of reading, and the average length of single reading.
The reference period is a period for the student to make a learning plan, and the period may be one day, one week, or a time length set in other time units, which is not limited in the embodiment of the present application.
Specifically, when a recommended book is read but not completely read, the reading plan for the book is scheduled for reading only for the part which is not completely read.
For example, as shown in fig. 6, after obtaining the average reading time, the average time length of a single reading, the reading progress of the recommended books that have been read, and the time length that the student can use for reading each day of the recommended books, the reading plan is made as "book a: [ reading days: 1, total length of reading (min): 25, average single reading duration (min): 25], book B: [ reading days: total length of reading (min): 210, average single reading duration (minutes): 30], … … ".
After the reading plan of each recommended book is obtained, as described in step two, the reading plan needs to be displayed on the terminal of the student, so that the student can read the book according to the reading plan in time. The display mode of the reading plan on the terminal is obtained through the following two implementation modes.
In one possible implementation, when a student completes a learning plan in advance, a reading plan can be actively recommended to the student so that the student can fully utilize the remaining time to read. As shown in fig. 7, the reading plan can arrange books that can be read according to the time left by the student, and can recommend the reading plans of several books at the same time, so that the student can freely select the books that the student wants to read.
In another possible implementation manner, when a student does a question through a terminal, a page can be analyzed in question analysis or knowledge points not mastered, and books containing related knowledge points can be actively recommended to the student. As shown in fig. 8, in the wrong-answer interface of the terminal, the reference knowledge point analysis can know that the problem is about the object AA, so that books about AA, such as "story of AA", can be recommended to students on the interface. Therefore, students can read the books to further understand the AA stories and further expand the knowledge plane of the students.
Fig. 9 is a flowchart of a book recommendation method according to an embodiment of the present application. As shown in fig. 9, first, initial book sheets recommended for the students by each organization are determined according to information of the students, and the book sheets recommended by each organization are merged to obtain a plurality of initial books. Then, a recommendation index of each of the plurality of initial books is calculated according to learning conditions such as learning progress, a learning plan, historical reading data, and an unconmastered knowledge point of the student, so that a plurality of recommended books are obtained. Next, a reading plan, which may be a one-day reading plan or a multi-day reading plan, may be created for each recommended book according to the learning plan or the time plan of the student. And finally, displaying the generated reading plan on a terminal of the student, so that the student can read books by using spare time, and the reading amount and the reading efficiency of the books are improved.
In the embodiment of the application, the recommended books are determined in a plurality of initial books by combining the current learning conditions of students. In this way, the determined recommended books can be more targeted, just the books that the student currently needs to read. In addition, when a reading plan is made for the student according to the learning plan and the historical reading data of the student, the current time arrangement of the student is fully considered, a one-day or multi-day reading plan is reasonably made, and the student can conveniently select the reading plan. When the reading plan is displayed on the student terminal, the idle time of the student or the time that the student needs the most relevant books is fully utilized to recommend the books for the student, and then the book reading amount and the reading efficiency are improved.
The embodiment of the present application provides a book recommendation apparatus, which may be implemented by software, hardware, or a combination of the two to be a part or all of a computer device, and the computer device may be the computer device shown in fig. 10. The device includes: the device comprises a first determination module, a second determination module and a third determination module.
A first determining module to determine a plurality of initial books based on user information of a target user, the user information indicating one or more attributes of the target user;
the second determination module is used for determining a recommendation index of each initial book in the plurality of initial books based on the learning condition of the target user, the recommendation index indicates the recommended degree of the corresponding book, and the learning condition indicates the learning plan of the target user and/or the actual learning condition of the target user;
and the third determining module is used for determining one or more recommended books from the plurality of initial books based on the recommendation index of each initial book in the plurality of initial books.
Optionally, the first determining module is specifically configured to:
when the target user is a student, determining a book form recommended for the target user by each organization in one or more organizations based on user information of the target user, wherein the user information of the target user comprises one or more of the grade of the target user, the geographic position of the target user and the school of the target user;
and in the case that the target user is a student, merging the books included in the book list recommended for the target user by each of one or more organizations to obtain a plurality of initial books.
Optionally, the third determining module is specifically configured to:
determining one or more influence factors based on the learning condition of the target user under the condition that the target user is a student, wherein the one or more influence factors comprise an unowned knowledge point, a current learned knowledge point and a planned reading book;
under the condition that a target user is a student, acquiring a recommendation score configured for each influence factor in one or more influence factors, wherein the recommendation score indicates the influence degree of the corresponding influence factor on recommendation of the book;
in the case that the target user is a student, determining a recommendation index of each initial book based on the recommendation score configured by each of the one or more influence factors.
Optionally, the apparatus further comprises:
the fourth determining module is used for determining a reading plan of each recommended book in the one or more recommended books;
the display module is used for displaying the reading plan of each recommended book in one or more recommended books.
Optionally, the fourth determining module is specifically configured to:
under the condition that the target user is a student, determining the average reading time of each recommended book in one or more recommended books, the reading progress of the read recommended books in the one or more recommended books and the average reading time of the target user per time according to the historical reading data of the target user;
under the condition that the target user is a student, determining the time length of the reference period of the target user, which can be used for reading, according to the current learning plan of the target user and the execution condition of the target user aiming at the current learning plan;
in the case that the target user is a student, determining a reading plan of each recommended book of the one or more recommended books based on a time length that the target user reference cycle can be used for reading, an average reading time of each recommended book of the one or more recommended books, a reading progress of the recommended book of the one or more recommended books that has been read, and an average time length of a single reading of the target user.
Optionally, the second determining module is specifically configured to:
sequencing the plurality of initial books according to the sequence of the recommendation indexes from large to small;
and taking the sorted initial books positioned on the reference position as one or more recommended books.
In the embodiment of the application, the recommended books are determined in a plurality of initial books by combining the current learning conditions of students. In this way, the determined recommended books can be more targeted, just the books that the student currently needs to read. In addition, when a reading plan is made for the student according to the learning plan and the historical reading data of the student, the current time arrangement of the student is fully considered, a one-day or multi-day reading plan is reasonably made, and the student can conveniently select the reading plan. When the reading plan is displayed on the student terminal, the idle time of the student or the time that the student needs the most relevant books is fully utilized to recommend the books for the student, and then the book reading amount and the reading efficiency are improved.
It should be noted that: in the book recommendation device provided in the above embodiment, when recommending a book, only the division of the above functional modules is taken as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the book recommendation device provided by the above embodiment and the book recommendation method embodiment belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment and are not described herein again.
Fig. 10 is a block diagram of a computer device 1000 according to an embodiment of the present application. Generally, the computer device 1000 includes: a processor 1001 and a memory 1002.
In some embodiments, the computer device 1000 may further optionally include: a peripheral interface 1003 and at least one peripheral. The processor 1001, memory 1002 and peripheral interface 1003 may be connected by a bus or signal line. Various peripheral devices may be connected to peripheral interface 1003 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1004, touch screen display 1005, camera 1006, audio circuitry 1007, positioning components 1008, and power supply 1009.
Those skilled in the art will appreciate that the configuration shown in FIG. 10 is not intended to be limiting of the computer device 1000, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
In some embodiments, a computer-readable storage medium is further provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the book recommendation method in the above embodiments. For example, the computer readable storage medium may be a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It is noted that the computer-readable storage medium referred to in the embodiments of the present application may be a non-volatile storage medium, in other words, a non-transitory storage medium.
It should be understood that all or part of the steps for implementing the above embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The computer instructions may be stored in the computer-readable storage medium described above.
That is, in some embodiments, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the steps of the book recommendation method described above.
It is to be understood that reference herein to "at least one" means one or more and "a plurality" means two or more. In the description of the embodiments of the present application, "/" means "or" unless otherwise specified, for example, a/B may mean a or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, in order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance.
The above-mentioned embodiments are provided not to limit the present application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A book recommendation method, the method comprising:
determining a plurality of initial books based on user information of a target user, the user information indicating one or more attributes of the target user;
determining a recommendation index for each of the plurality of initial books based on a learning context of the target user, the recommendation index indicating a degree to which the respective book is recommended, the learning context indicating a learning plan of the target user and/or an actual learning context of the target user;
determining one or more recommended books from the plurality of initial books based on the recommendation index for each of the plurality of initial books.
2. The method of claim 1, wherein in the case that the target user is a student, the determining a plurality of initial books based on user information of the target user comprises:
determining a book list recommended for the target user by each of one or more organizations based on the user information of the target user, wherein the user information of the target user includes one or more of a grade of the target user, a geographic location of the target user, and a school of the target user;
and merging the books included in the book list recommended by the target user by each of the one or more organizations to obtain the plurality of initial books.
3. The method of claim 1, wherein in a case where the target user is a student, the determining the recommendation index for each of the plurality of initial books based on the learning context of the target user comprises:
determining one or more influence factors based on the learning condition of the target user, wherein the one or more influence factors comprise an unowned knowledge point, a currently learned knowledge point and a planned reading book;
obtaining a recommendation score configured for each of the one or more influence factors, wherein the recommendation score indicates a degree of influence of the corresponding influence factor on recommendation of the book;
and determining a recommendation index of each initial book based on the configured recommendation score of each influence factor in the one or more influence factors.
4. The method of claim 1, wherein after determining one or more recommended books from the plurality of initial books based on the recommendation index for each of the plurality of initial books, the method further comprises:
determining a reading plan for each of the one or more recommended books;
and displaying the reading plan of each recommended book in the one or more recommended books.
5. The method of claim 4, wherein, in a case where the target user is a student, the determining the reading plan for each of the one or more recommended books comprises:
according to the historical reading data of the target user, determining the average reading time of each recommended book in the one or more recommended books, the reading progress of the read recommended book in the one or more recommended books and the average time length of single reading of the target user;
determining the time length of the reference period of the target user, which can be used for reading, according to the current learning plan of the target user and the execution condition of the target user aiming at the current learning plan;
determining a reading plan of each recommended book of the one or more recommended books based on the time length that the target user reference cycle can be used for reading, the average reading time of each recommended book of the one or more recommended books, the reading progress of the recommended book that has been read of the one or more recommended books, and the average time length of single reading of the target user.
6. The method of claim 1, wherein determining one or more recommended books from the plurality of initial books based on the recommendation index for each of the plurality of initial books comprises:
sequencing the plurality of initial books according to the sequence of the recommendation indexes from large to small;
and taking the sorted initial books positioned on the reference position as the one or more recommended books.
7. A computer device, comprising a processor configured to:
determining a plurality of initial books based on user information of a target user, the user information indicating one or more attributes of the target user;
determining a recommendation index for each of the plurality of initial books based on a learning context of the target user, the recommendation index indicating a degree to which the respective book is recommended, the learning context indicating a learning plan of the target user and/or an actual learning context of the target user;
determining one or more recommended books from the plurality of initial books based on the recommendation index for each of the plurality of initial books.
8. The computer device of claim 7, wherein the processor is to:
determining a book list recommended for the target user by each of one or more organizations based on the user information of the target user, wherein the user information of the target user includes one or more of a grade of the target user, a geographic location of the target user, and a school of the target user;
and merging the books included in the book list recommended by the target user by each of the one or more organizations to obtain the plurality of initial books.
9. The computer device of claim 7, wherein the processor is to:
determining one or more influence factors based on the learning condition of the target user, wherein the one or more influence factors comprise an unowned knowledge point, a currently learned knowledge point and a planned reading book;
obtaining a recommendation score configured for each of the one or more influence factors, wherein the recommendation score indicates a degree of influence of the corresponding influence factor on recommendation of the book;
and determining a recommendation index of each initial book based on the configured recommendation score of each influence factor in the one or more influence factors.
10. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN202111211206.5A CN114154053A (en) | 2021-10-18 | 2021-10-18 | Book recommendation method and device and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117809808A (en) * | 2024-02-26 | 2024-04-02 | 青岛杨辉大数据科技有限公司 | Method, system, equipment and storage medium for personalized recommended exercise program |
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