CN111475639B

CN111475639B - Reading monitoring method, computing device and computer storage medium

Info

Publication number: CN111475639B
Application number: CN202010247047.3A
Authority: CN
Inventors: 吴天嫡
Original assignee: Zhangyue Technology Co Ltd
Current assignee: Zhangyue Technology Co Ltd
Priority date: 2020-03-31
Filing date: 2020-03-31
Publication date: 2023-08-29
Anticipated expiration: 2040-03-31
Also published as: CN111475639A

Abstract

The invention discloses a reading monitoring method, a computing device and a computer storage medium. The method comprises the following steps: acquiring user reading behavior data reported by a first client for pre-created buried point acquisition; performing data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior; if the abnormal reading behavior of the user corresponding to the first client is determined, generating an abnormal reading result. According to the scheme provided by the invention, the reading behavior data generated by the real operation of the user, which is acquired and reported by the first client side on the pre-created buried point, can be obtained, and whether the user has abnormal reading behaviors can be accurately analyzed, so that the reading process of the user can be well monitored, and the user can be urged to read seriously.

Description

Reading monitoring method, computing device and computer storage medium

Technical Field

The invention relates to the technical field of internet, in particular to a reading monitoring method, computing equipment and a computer storage medium.

Background

Reading is a very important learning means from ancient times, and the traditional reading mode is to read paper books, however, whether the user actually reads or not cannot be monitored. Along with the rapid popularization of intelligent equipment, the reading mode method is changed from reading a paper book to reading an electronic book, so that people can read the electronic book more conveniently and rapidly.

For student groups, students are usually required to be able to read electronic books and master the content of the electronic books, and a common measurement is whether the students complete the reading of the electronic books, however, the students may generate abnormal reading behaviors such as rapid page turning, pulling progress and the like when reading in order to meet the requirement of completing the reading task due to the reasons such as traitory mind, lazy behavior and the like. If the behavior data read by the user is recorded simply according to the reading progress of the final book, the number of the read words read by the user is calculated according to the reading progress, which is greatly different from the number of the words actually read and harvested by the user. For example, a teacher may read tens of thousands of words for a student, which is not true of what the student actually reads and holds. Therefore, a solution for effectively monitoring the reading condition of students is lacking.

Disclosure of Invention

The present invention has been made in view of the above problems, and provides a reading monitoring method, a computing device, and a computer storage medium that overcome or at least partially solve the above problems.

According to one aspect of the present invention, there is provided a reading monitoring method comprising:

acquiring user reading behavior data reported by a first client for pre-created buried point acquisition; performing data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior; if the abnormal reading behavior of the user corresponding to the first client is determined, generating an abnormal reading result.

According to another aspect of the present invention, there is provided a reading monitoring method, including:

monitoring triggering operation of a user on a pre-created buried point; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server for the server to perform data detection on the user reading behavior data, and generating an abnormal reading result; and acquiring and displaying an abnormal reading result returned by the server.

monitoring abnormal reading result query operation triggered by a user; responding to the abnormal reading result query operation, and sending an abnormal reading result query request to the server side so that the server side can query and determine an abnormal reading result according to the abnormal reading result query request; and acquiring and displaying an abnormal reading result returned by the server.

According to another aspect of the present invention, there is provided a computing device comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;

the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the following operations:

According to yet another aspect of the present invention, there is provided a computer storage medium having stored therein at least one executable instruction for causing a processor to:

According to the scheme provided by the invention, the user reading behavior data reported by the first client for the pre-established buried point acquisition is obtained; performing data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior; if the abnormal reading behavior of the user corresponding to the first client is determined, generating an abnormal reading result. According to the scheme provided by the invention, the reading behavior data generated by the real operation of the user, which is acquired and reported by the first client side on the pre-created buried point, can be obtained, and whether the user has abnormal reading behaviors can be accurately analyzed, so that the reading process of the user can be well monitored, and the user can be urged to read seriously.

The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:

FIG. 1 shows a flow diagram of a reading monitoring method according to one embodiment of the invention;

FIG. 2A shows a flow diagram of a reading monitoring method according to another embodiment of the invention;

FIG. 2B is a flowchart showing the implementation of step S202;

FIG. 3 shows a flow diagram of a reading monitoring method according to one embodiment of the invention;

FIG. 4 shows a flow diagram of a reading monitoring method according to another embodiment of the invention;

FIG. 5 shows a flow diagram of a reading monitoring method according to one embodiment of the invention;

FIG. 6 shows a flow diagram of a reading monitoring method according to another embodiment of the invention;

FIG. 7 illustrates a schematic diagram of a computing device, according to one embodiment of the invention;

FIG. 8 illustrates a schematic diagram of a computing device, according to one embodiment of the invention;

FIG. 9 illustrates a schematic diagram of a computing device, according to one embodiment of the invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

Fig. 1 shows a flow diagram of a reading monitoring method according to an embodiment of the invention. As shown in fig. 1, the method comprises the steps of:

step S101, acquiring user reading behavior data reported by a first client for pre-created buried point acquisition.

The embedded point is a key part of data acquisition, the data to be acquired is predefined through the embedded point, and specifically, the embedded point can be set by adopting code embedded point, visual embedded point and no embedded point technology. For example, in order to monitor the reading condition of the user on the electronic book, a page embedded point, a directory embedded point, a progress bar embedded point, or the like may be provided, which is only for illustration and not for any limitation.

The first client needs to monitor the operation behaviors of the user corresponding to the buried point in real time, and when the operation behaviors of the user corresponding to the buried point are monitored, user reading behavior data are collected, wherein the user reading behavior data are generated by the user in the reading process, the first client reports the user reading behavior data to the server after collecting the user reading behavior data, and the server acquires the user reading behavior data reported by the first client for the pre-established buried point collection.

Step S102, data detection is performed on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior.

After the user reading behavior data reported by the first client is obtained, the user reading behavior data is subjected to data detection, and whether the user corresponding to the first client has abnormal reading behaviors or not can be determined by carrying out data detection, wherein the abnormal reading behaviors refer to some behaviors which are generated by the user in the reading process and do not accord with normal reading.

Step S103, if it is determined that the abnormal reading behavior exists in the user corresponding to the first client, an abnormal reading result is generated.

And under the condition that the abnormal reading behavior exists in the user corresponding to the first client, generating an abnormal reading result, wherein the abnormal reading result is used for explaining the abnormal reading behavior generated by the user, such as the position of an electronic book page for explaining the abnormal reading behavior, the abnormal reading type and the like.

According to the method provided by the embodiment of the invention, the user reading behavior data reported by the first client for the pre-established buried point acquisition is obtained; performing data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior; if the abnormal reading behavior of the user corresponding to the first client is determined, generating an abnormal reading result. According to the scheme provided by the invention, the reading behavior data generated by the real operation of the user, which is acquired and reported by the first client side on the pre-created buried point, can be obtained, and whether the user has abnormal reading behaviors can be accurately analyzed, so that the reading process of the user can be well monitored, and the user can be urged to read seriously.

Fig. 2A shows a flow diagram of a reading monitoring method according to another embodiment of the invention. As shown in fig. 2A, the method includes the steps of:

step S201, acquiring user reading behavior data reported by a first client for pre-created buried point acquisition.

After the buried point is created, the first client needs to monitor the operation behavior of the user corresponding to the buried point in real time, and when the operation behavior of the user corresponding to the buried point is monitored, user reading behavior data is collected, wherein the user reading behavior data is generated in the reading process of the user and is determined according to the real operation of the user, after the first client collects the user reading behavior data, the user reading behavior data is reported to the server, and the server acquires the user reading behavior data reported by the first client for the pre-created buried point collection.

Step S202, data detection is performed on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior.

The data of the user reading behavior acquired for different buried points is different, so that the data detection performed is also different, as shown in fig. 2B, step S202 may specifically be performed by the following method steps:

in step S2021, if the user reading behavior data includes the page turning time corresponding to the page turning operation determined based on the page burying point, it is determined whether the user corresponding to the first client has an abnormal reading behavior according to the page turning time.

Specifically, the method can be realized by the following steps: determining page turning interval duration according to page turning time corresponding to the current page turning operation and page turning time corresponding to the last page turning operation, calculating user reading speed according to the number of characters of the electronic book pages and the page turning interval duration, judging whether the user reading speed is in a preset reading speed range, and if not, determining that the user corresponding to the first client has abnormal reading behaviors; if so, determining that the user corresponding to the first client does not have abnormal reading behaviors.

The first client may monitor the page embedded point to determine user reading behavior data, for example, page turning time of each page turning operation, page number information of the operated page, etc., where the first client reports the page turning time of each page turning operation and the page number information of the operated page to the server, the server stores the user reading behavior data received each time, after receiving the page turning time reported this time, the server extracts a page turning time corresponding to the last page turning operation determined based on the page embedded point, calculates a page turning interval duration between the two page turning operations, where the page turning interval duration reflects a time used by the user to read the page, and the number of words of the electronic book page corresponding to the page turning operation is known, so that the user reading speed may be calculated according to the number of words of the electronic book page and the page turning interval duration, and the user reading speed may reflect whether the user carefully reads the electronic book, for example, the user reading speed may be calculated by the following formula: user reading speed = number of e-book page words/duration of page turn interval.

In this embodiment, a buried point may also be set at the "start reading" and, for the case of first page turning, the page turning interval duration may be determined based on the start reading operation and the first page turning operation.

In general, the reading speeds of different types of users are different, so that a corresponding preset reading speed range can be selected according to the user attribute, specifically, the first client side can report the user attribute to the server side in addition to reporting the user reading behavior data, and the server side selects the preset reading speed range corresponding to the user attribute according to the user attribute, wherein the preset reading speed range defines the speed that the user with the user attribute should keep when the user normally reads the electronic book, the user attribute can be the grade information of the user, and the normal reading speed range corresponding to students with different grades is different.

After determining the preset reading range, whether the calculated user reading speed falls within the preset reading range or not can be judged, for example, the user reading speed is respectively compared with the minimum value and the maximum value of the preset reading range, and if the user reading speed is smaller than the minimum value, the user reading speed can be determined not to fall within the preset reading speed range; if the user reading speed is greater than the minimum value and less than the maximum value, the user reading speed can be determined to fall within a preset reading range; if the user reading speed is greater than the maximum value, it can be determined that the user reading speed does not fall within the preset reading speed range.

If the user reading speed is judged not to fall within the preset reading speed range, abnormal reading behaviors, such as rapid page turning behaviors or page non-turning behaviors, of the user corresponding to the first client can be determined, wherein the behaviors are all generated when the user does not carefully read the electronic book; when the user reading speed is judged to fall within the preset reading speed range, it can be determined that the user corresponding to the first client does not have abnormal reading behaviors, for example, no quick page turning behaviors or no page turning behaviors, which indicates that the user carefully reads the electronic book.

In step S2022, if the user reading behavior data includes the reading progress determined based on the embedded point of the progress bar, it is determined whether the user corresponding to the first client has abnormal reading behavior according to the reading progress.

Specifically, the method can be realized by the following steps: judging whether the page attribute of the electronic book page corresponding to the reading progress is read or not, if not, determining that the user corresponding to the first client side has abnormal reading behaviors; if so, determining that the user corresponding to the first client does not have abnormal reading behaviors.

In actual reading, for a user with a reading task, the user is usually required to gradually read the electronic book, and then the progress bar is gradually increased, at this time, the action of clicking the progress bar or the action of dragging the progress bar is considered to not seriously read the electronic book, however, the situation that the user has already read part of the content of the electronic book and the user review the electronic book again is likely to occur, and the action of clicking the progress bar or the action of dragging the progress bar occurring in the read part of the electronic book is not considered to not seriously read the electronic book.

After the user finishes reading the electronic book pages, the attributes of the electronic book pages are marked as read, the first client can monitor click operation or drag operation of the user on the progress bar by monitoring the embedded points of the progress bar, so that the reading progress corresponding to the electronic book is determined, the reading progress corresponding to the electronic book is reported to the server, and after the server obtains the reading progress reported by the first client, the server can determine whether the user corresponding to the first client has abnormal reading behaviors by judging whether the page attributes of the electronic book pages corresponding to the reading progress are read or not. If the page attribute of the e-book page corresponding to the reading progress is not read, determining that abnormal reading behaviors exist in the user corresponding to the first client, for example, skip reading realized by dragging the progress bar or clicking the progress bar, wherein the behaviors are all generated when the user does not carefully read the e-book; when the page attribute of the electronic book page corresponding to the reading progress is read, it can be determined that the user corresponding to the first client does not have abnormal reading behavior, for example, no skip reading behavior realized by dragging the progress bar or clicking the progress bar, and the user clicks the progress bar or drags the progress bar, but is allowed reading behavior for the electronic book part already read;

In practical application, the situation that after a user reads a certain part of content of an electronic book, the user jumps to an unread part of the electronic book in a mode of dragging a progress bar or clicking the progress bar, the user reads the part of the content of the electronic book first, and then jumps back to an original reading position through the dragging progress bar or clicking the progress bar is not considered as an abnormal reading behavior, so that the server side can determine whether the user corresponding to the first client side has the abnormal reading behavior by judging whether the reading progress corresponding to the clicking operation or the dragging operation is consistent with the reading progress corresponding to the last clicking operation or the dragging operation, and if not, the server side determines that the user corresponding to the first client side has the abnormal reading behavior; if the user data are consistent, determining that the user corresponding to the first client does not have abnormal reading behaviors.

In step S2023, if the user reading behavior data includes chapter information corresponding to the click operation determined based on the directory chapter embedded point, it is determined whether the user corresponding to the first client has an abnormal reading behavior according to the chapter information.

Specifically, the method can be realized by the following steps: judging whether chapter information corresponding to the clicking operation is continuous with chapter information corresponding to the last clicking operation, if not, determining that abnormal reading behaviors exist for a user corresponding to the first client; if so, determining that the user corresponding to the first client does not have abnormal reading behaviors.

In actual reading, for a user with a reading task, the user is usually required to read from chapter to chapter, but cannot read from chapter to chapter, so that the first client can collect chapter information of a chapter clicked by the user each time by setting a catalog chapter embedding point, and report the chapter information to the server.

After the first client side acquires the chapter information reported by aiming at the clicking operation, extracting chapter information corresponding to the last clicking operation, judging whether the chapter information corresponding to the clicking operation is continuous with the chapter information corresponding to the last clicking operation, for example, judging whether the chapter information corresponding to the clicking operation is 4 after the chapter information corresponding to the last clicking operation is extracted, determining whether a user reads across chapters according to a judging result, and if the chapter information is not 4, indicating that the user reads across chapters, and abnormal reading behaviors exist. If the chapter information corresponding to the current clicking operation is not continuous with the chapter information corresponding to the last clicking operation, it may be determined that abnormal reading behaviors exist in the user corresponding to the first client, for example, skip reading across chapters is achieved by clicking the corresponding chapter in the directory, where the behaviors are all generated when the user does not seriously read the electronic book. If the chapter information corresponding to the current clicking operation is not continuous with the chapter information corresponding to the last clicking operation, it may be determined that abnormal reading behaviors exist in the user corresponding to the first client, for example, skip reading across chapters is achieved by clicking the corresponding chapter in the directory, where the behaviors are all generated when the user does not seriously read the electronic book.

In order to more accurately judge whether the abnormal reading behavior exists in the user, if yes, whether the page attributes of the electronic book pages contained in the chapters corresponding to the chapter information corresponding to the previous clicking operation are all read or not can be judged under the condition that the chapter information corresponding to the current clicking operation is continuous with the chapter information corresponding to the previous clicking operation, and if yes, the fact that the abnormal reading behavior does not exist in the user corresponding to the first client side is determined; if not, determining that the abnormal reading behavior exists in the user corresponding to the first client.

In practical application, the situation that after a user reads a part of content of an electronic book, the user jumps to an unread part of the electronic book by clicking a catalog chapter, the user reads a part of content of the electronic book first and jumps back to an original reading position by clicking the catalog chapter is not considered as abnormal reading behavior, so that the server side can determine whether the user corresponding to the first client side has abnormal reading behavior by judging whether chapter information corresponding to the clicking operation is consistent with chapter information corresponding to the last clicking operation or not, and if not, the server side determines that the user corresponding to the first client side has abnormal reading behavior; if the user data are consistent, determining that the user corresponding to the first client does not have abnormal reading behaviors.

It should be noted that, in the actual reading process, any one or more operations of the page turning operation, the clicking of the progress bar, the dragging of the progress bar, and the clicking of the catalog section may occur by the user, so this embodiment may include one or more of the steps S2021 to S2023, and the most preferred embodiment includes the steps S2021 to S2023, and in addition, the embodiment is not limited to the execution sequence of the steps S2021 to S2023.

In an alternative embodiment of the present invention, the user reading behavior data includes: page turning interval duration and data mark type corresponding to page turning operation determined based on page buried points;

the data detection is carried out on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior or not, and the method can be concretely realized by the following steps: if the data mark type is a preset type, calculating the reading speed of the user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval; judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client.

The first client can monitor the embedded point of the page to determine the data of the user reading behavior, for example, the first client can determine the page turning time of each page turning operation, after the page turning time of the current page turning operation is monitored, the page turning time corresponding to the last page turning operation determined based on the embedded point of the page is extracted, the page turning interval duration between the two page turning operations is calculated, the page turning interval duration reflects the duration used by the user for reading the page, the data mark type, for example, abnormal data or normal data, can be initially determined according to the page turning interval duration, and the first client reports the page turning interval duration and the data mark type to the server.

After the server side obtains the page turning interval duration and the data mark type reported by the first client side, judging whether the data mark type is a preset type, for example, an abnormal type, if so, calculating a user reading speed according to the number of characters of the electronic book pages and the page turning interval duration, wherein the number of characters of the electronic book pages corresponding to the page turning operation is known, and the user reading speed can reflect whether the user carefully reads the electronic book, for example, the user reading speed can be calculated through the following formula: user reading speed = number of e-book page words/page turning interval duration; if the type is not the preset type, for example, the normal type, it is determined that the abnormal reading behavior does not exist in the user corresponding to the first client.

In step S203, if it is determined that the user corresponding to the first client has abnormal reading behavior, the electronic book information and the electronic book page information with abnormal reading behavior are determined according to the user reading behavior data for the first client having the monitored attribute.

In the case that it is determined that the abnormal reading behavior exists in the user corresponding to the first client, an abnormal reading result may be generated, however, the abnormal reading results generated for different clients are different, for example, for the first client having the monitored attribute used by the student or the child, the generated abnormal reading result is used for telling where the student or the child has the abnormal reading phenomenon and why the abnormal reading type appears.

In the case that the user reading behavior data is abnormal reading behavior data, the electronic book information and the electronic book page information with abnormal reading behavior, such as an electronic book ID and a page number of an electronic book page, can be determined according to the user reading behavior data.

Step S204, generating an abnormal reading result containing the electronic book information, the electronic book page information and the abnormal reading type, and sending the abnormal reading result to the first client for display.

In the case that the abnormal reading behavior of the user is detected in step S202, the abnormal reading type may be determined, for example, fast page turning or no page turning or skip reading of clicking progress bar or skip reading of dragging progress bar or skip reading of chapter crossing. And then generating an abnormal reading result containing the electronic book information, the electronic book page information and the abnormal reading type. The generated abnormal reading result can be returned to the first client side, and the abnormal reading result is displayed to the user through the first client side, so that the user can intuitively know which part of reading is abnormal.

In step S205, if it is determined that the user corresponding to the first client has abnormal reading behavior, the electronic book information and the electronic book page information having abnormal reading behavior are determined according to the user reading behavior data for the second client having the monitoring attribute.

Step S203-step S204 describe generating an abnormal reading result for a first client having a monitored attribute, whereas in this step, an abnormal reading result for reference by a teacher or a parent will be generated from the perspective of a second client having a monitored attribute, for example, a client used by the teacher or the parent. The abnormal reading report is generated to tell the teacher or parents where the abnormal reading phenomenon occurs and what the type of abnormal reading occurs is the main purpose.

Step S206, generating an abnormal reading result comprising the first client information, the electronic book page information and the abnormal reading type, and sending the abnormal reading result to the second client for display.

In the case that the abnormal reading behavior of the user is detected in step S202, the abnormal reading type may be determined, for example, fast page turning or no page turning or skip reading of clicking progress bar or skip reading of dragging progress bar or skip reading of chapter crossing. And then generating an abnormal reading result comprising the first client information, the electronic book page information and the abnormal reading type. The generated abnormal reading result can be returned to the second client and displayed to the user through the second client, so that the user can intuitively know which part of the student or child reads abnormally.

In step S207, if it is determined that the user corresponding to the first client does not have abnormal reading behavior, if the user reading behavior data includes the page turning time corresponding to the page turning operation determined based on the page buried point, the total number of user reading words and/or the total length of user reading in the preset time period are calculated according to the page turning time statistics corresponding to the page turning operation.

In practical applications, there may be a need to sort the reading situations of the plurality of first clients, for example, sort according to the total number of words read by the user or the total duration read by the user or the reading speed of the user. The user reading behavior data reported by the first client may include a page turning time corresponding to a page turning operation determined based on a page buried point, the number of characters of an electronic book page is determined, the server records the page turning time corresponding to each page turning operation, and the number of times of turning pages in a preset time period can be counted and calculated, so that the number of turning pages is determined, and the total number of user reading words in the preset time period can be counted and calculated based on the number of turning pages; screening page turning time corresponding to page turning operation in a preset time period, calculating page turning interval duration between any two page turning operations, and counting total user reading duration in the preset time period based on the page turning interval duration. The total reading duration of the user is the sum of page turning interval duration in a preset time period. The user reading speed may be calculated based on the total number of words read by the user and the total length of time the user reads.

Step S208, sorting the plurality of first clients according to the total number of words read by the user and/or the total length of time read by the user, and generating a sorting result.

After the total number of words read by the user and/or the total time length read by the user are calculated, the plurality of first clients can be ranked according to the total number of words read by the user and/or the total time length read by the user, and a ranking result is generated. For example, the total word number read by the user is used as a sequencing reference basis for sequencing; or the total reading time length of the user is used as a sequencing reference basis for sequencing; or calculating the user reading speed according to the total user reading duration and the total user reading word number, and sequencing the plurality of first clients according to the user reading speed.

According to the embodiment, reading ordering of a plurality of first clients in a class can be achieved, reading ordering among schools can also be achieved, when the reading ordering among schools is conducted, the difference of the number of students in the schools is considered, the reading speed of the user can be used as an ordering reference basis for ordering, and an ordering result is generated.

Step S209, statistics of each reading task corresponding to the user reading plan is calculated based on the user reading behavior data statistics.

In practical applications, there may be a teacher who has arranged a user reading plan for students in a class, for example, the task of the reading plan is: the reading is continuously carried out for 21 days, a certain electronic book is read, and the reading time per day is not less than 30 minutes. The completion degree of the user reading plan can be comprehensively evaluated by 3 aspects of reading progress, daily reading time length and reading days in the reading task. Of course, the user reading plan herein is merely illustrative and not limiting in any way.

User reading behavior data related to a user reading plan can be collected through preset buried points, for example, the current reading progress of a user is determined based on the buried points of a progress bar, the reading duration reserved on an electronic book page is determined based on the buried points of the page, and the like, so that the statistical data of each reading task corresponding to the user reading plan can be calculated based on the user reading behavior data statistics.

Step S210, calculating the completion proportion of the user reading plan according to the statistical data of each reading task and the task weight, judging whether the user completes the reading plan according to the completion proportion of the user reading plan, and generating a reading plan report according to the judgment result.

In order to better evaluate the completion condition of the user reading plan, a weight is set for each reading task in the user reading plan, so that the completion proportion of the user reading plan can be calculated according to the statistical data of each reading task and the task weight, for example, the completion proportion of the user reading plan is calculated in a weighted manner according to the statistical data of each reading task and the task weight, and for the task of the reading plan, for example: and (3) continuously reading for 21 days, completing a certain electronic book, and calculating the completion proportion of each reading task for no less than 30 minutes per day, then calculating the product of the completion proportion of each reading task and the task weight of the reading task, and adding the obtained product to obtain the completion proportion of the user reading plan.

After the user reading plan completion proportion is calculated, whether the user completes the reading plan or not can be judged according to the user reading plan completion proportion, for example, whether the reading plan completion proportion is larger than or equal to the preset reading plan completion proportion or not is judged, and if not, the user is determined to complete the user reading plan; if yes, it is determined that the user completes the user reading plan, where the preset reading plan completion proportion may be flexibly set according to the actual needs, for example, set to 0.9, and this is only for illustration, and not having any limiting effect, and after determining whether the user completes the reading plan, a reading plan report may be generated according to the determination result.

According to the scheme provided by the invention, whether the user has abnormal reading behaviors or not can be accurately analyzed, so that the student can be helped to correct the abnormal reading behaviors in time, abnormal reading results which can be helped for the student or a teacher or parents to know the real reading situation can be generated according to actual needs, for example, the student can be prompted to the position and the abnormal reading type of abnormal reading, the teacher can be prompted to which electronic book of which page of the student has abnormal reading and abnormal reading type, analysis of the student reading behaviors is provided for the teacher, the teacher is led to dig the completion degree of the student reading and the harvest degree after the reading, the user reading is urged, the user reading situation can be analyzed from multiple angles under the condition of normal reading, for example, the relative values such as the total number of words of the user reading, the total time length of the user reading, or the reading speed of the user can be referred, or the reading situation can be estimated based on the weight of a reading plan, for example, the reading rank and the like.

Fig. 3 shows a flow diagram of a reading monitoring method according to an embodiment of the invention. As shown in fig. 3, the method comprises the steps of:

step S301, monitoring a triggering operation of a user on a pre-created buried point.

The execution subject of the reading monitoring method provided by the embodiment is a first client, which is a client used by students and other personnel needing to be monitored for reading conditions.

The embedded point is a key part of data acquisition, the data to be acquired is predefined through the embedded point, and specifically, the embedded point can be set by adopting code embedded point, visual embedded point and no embedded point technology. For example, in order to monitor the reading condition of the user on the electronic book, a page embedded point, a directory embedded point, a progress bar embedded point, or the like may be provided, which is only for illustration and not for any limitation. The first client needs to monitor the triggering operation of the user on the pre-created buried point in real time. The user in this embodiment is a person such as a student who needs to be monitored for reading.

Step S302, user reading behavior data are collected according to triggering operation, and are reported to a server side for data detection of the user reading behavior data by the server side, and abnormal reading results are generated.

When the triggering operation of the user corresponding to the buried point is monitored, user reading behavior data is collected, wherein the user reading behavior data is behavior data generated by the user in the reading process, after the first client collects the user reading behavior data, the user reading behavior data is reported to the server, the server detects the user reading behavior data to generate an abnormal reading result, the server detects the user reading behavior data to generate the abnormal reading result, and a processing method for generating the abnormal reading result can refer to relevant steps in the embodiment shown in fig. 1 or fig. 2 and is not repeated herein.

Step S303, obtaining and displaying an abnormal reading result returned by the server.

After the server side generates the abnormal reading result, the abnormal reading result is returned to the first client side, and the first client side obtains the abnormal reading result returned by the server side and displays the abnormal reading result to the user, so that the user can intuitively know which part of reading is abnormal.

According to the method provided by the embodiment of the invention, the triggering operation of the user on the pre-created buried point is monitored; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server for the server to perform data detection on the user reading behavior data, and generating an abnormal reading result; and acquiring and displaying an abnormal reading result returned by the server. According to the scheme provided by the invention, through monitoring the pre-created buried points in real time, the user reading behavior data corresponding to the real operation of the user in the reading process can be acquired, so that a data base is provided for effectively monitoring the user reading process, whether the user has abnormal reading behaviors or not can be detected based on the user reading behavior data, and the abnormal reading results are displayed to the user, so that the user can be urged to carefully read, and the user can correct the abnormal reading behaviors in time.

Fig. 4 shows a flow diagram of a reading monitoring method according to another embodiment of the invention. As shown in fig. 4, the method comprises the steps of:

in step S401, a triggering operation of a user on a pre-created buried point is monitored.

Step S402, acquiring page turning time according to page turning operation of the embedded point of the page, and reporting the page turning time to the server for the server to detect data of the page turning time and generate an abnormal reading result.

In this embodiment, a page burying point is set for any page of the electronic book, so that a page turning operation triggered by a user can be monitored by monitoring the page burying point, a page turning time corresponding to the page turning operation is collected, and the page turning time is reported to a server for the server to detect data of the page turning time, so that an abnormal reading result is generated, and detailed implementation is omitted herein with reference to relevant steps in the embodiment of fig. 2.

In an optional embodiment of the present invention, the first client may collect a page turning time according to a page turning operation on the embedded point of the page, calculate a page turning interval duration according to a page turning time corresponding to a previous page turning operation, determine a data mark type, and report the page turning interval duration and the data mark type to the server.

In this embodiment, a page burying point is set for any page of the electronic book, so that a page turning operation triggered by a user can be monitored by monitoring the page burying point, a page turning time corresponding to the page turning operation is collected, the first client can locally store the page turning time corresponding to each page turning operation, the first client can extract the page turning time corresponding to the last page turning operation, calculate a page turning interval duration according to the page turning time corresponding to the last page turning operation, namely, a time difference of the two page turning times, and after determining the page turning interval duration, determine whether the page turning interval duration falls within a preset page turning interval duration range, if not, determine that the data mark type is an abnormal type; if yes, determining that the data mark type is normal, and reporting the page turning interval time length and the data mark type to the server side for the server side to perform data detection on the page turning interval time length and the data mark type, so as to generate an abnormal reading result, wherein the specific implementation is referred to the relevant steps in the embodiment of fig. 2, and details are not repeated here.

Step S403, the reading progress is collected according to the clicking operation or the dragging operation of the embedded point of the progress bar, and the reading progress is reported to the server side for the server side to detect the reading progress, and an abnormal reading result is generated.

In this embodiment, a progress bar embedding point is set for a progress bar of an electronic book, so that a click operation or a drag operation triggered by a user can be monitored by monitoring the progress bar embedding point, a reading progress corresponding to the click operation or the drag operation is collected, and the reading progress is reported to a server for the server to detect data of the reading progress, so that an abnormal reading result is generated, and detailed implementation is omitted herein with reference to relevant steps in the embodiment of fig. 2.

Step S404, collecting chapter information according to clicking operation of the catalog chapter burying point, reporting the chapter information to the server side, so that the server side can detect the chapter information and generate an abnormal reading result.

In this embodiment, a progress bar embedding point is set for a catalog chapter of an electronic book, so that a click operation triggered by a user can be monitored by monitoring the catalog chapter embedding point, chapter information corresponding to the click operation is collected and reported to a server side, so that the server side can perform data detection on the chapter information to generate an abnormal reading result, and detailed implementation is referred to relevant steps in the embodiment of fig. 2, and details are omitted here.

It should be noted that, in the actual reading process, any one or more operations of the page turning operation, the clicking of the progress bar, the dragging of the progress bar, and the clicking of the catalog section may occur to the user, so the embodiment may include one or more of the steps S402 to S403, and the most preferred embodiment includes the steps S402 to S403, and in addition, the embodiment is not limited to the execution sequence of the steps S402 to S403.

Step S405, an abnormal reading result including the electronic book information, the electronic book page information and the abnormal reading type returned by the server is obtained and displayed.

When the server detects that the user has abnormal reading behaviors, the abnormal reading type can be determined, for example, fast page turning or non-page turning or progress bar skip reading or progress bar drag skip reading or chapter skip reading and the like. In addition, it is also possible to determine which page of which electronic book has abnormal reading behavior, generate an abnormal reading result including electronic book information, electronic book page information and abnormal reading type, and return the generated abnormal reading result to the first client.

The first client side obtains an abnormal reading result which is returned by the server side and contains the electronic book information, the electronic book page information and the abnormal reading type, and displays the abnormal reading result to the user, so that the user can intuitively know which part of reading is abnormal, and the effect of supervising the user to carefully read is achieved.

According to the scheme provided by the invention, through monitoring each pre-created buried point in real time, the user reading behavior data corresponding to the real operation of the user in the reading process can be acquired, so that a data base is provided for effectively monitoring the user reading process, whether the user has abnormal reading behaviors or not can be detected based on the user reading behavior data, and the abnormal reading results comprising the electronic book information, the electronic book page information and the abnormal reading types are displayed to the user, so that the user can clearly know where the user does not carefully read, the effect of supervising the user to carefully read is achieved, and the user can timely correct the abnormal reading behaviors.

Fig. 5 shows a flow diagram of a reading monitoring method according to an embodiment of the invention. As shown in fig. 5, the method comprises the steps of:

step S501, monitoring an abnormal reading result query operation triggered by a user.

The execution subject of the reading monitoring method provided in this embodiment is a second client, which is a client used by a teacher or a parent or other person who needs to monitor the reading condition, where the user is a teacher or parent or other person who needs to monitor the reading condition.

Specifically, the second client may provide the teacher or the parent with the abnormal reading result viewing page, where the abnormal reading result viewing page includes an abnormal reading result query button, and when the teacher or the parent wants to know about the reading condition of the student, the teacher or the parent may click on the abnormal reading result query button, and the user clicks on the abnormal reading result query button, to be regarded as triggering the abnormal reading result query operation.

Step S502, in response to the abnormal reading result query operation, an abnormal reading result query request is sent to the server side, so that the server side can query and determine an abnormal reading result according to the abnormal reading result query request.

After the second client monitors the abnormal reading result query operation, the second client responds to the abnormal reading result query operation and sends an abnormal reading result query request to the server so that the server can query and determine an abnormal reading result according to the abnormal reading result query request. Alternatively, the abnormal reading result query request may carry information of the object to be queried, for example, class information of a certain class or grade information of a certain grade or information of a certain student, etc.

Step S503, obtaining and displaying an abnormal reading result returned by the server.

After the server side generates the abnormal reading result, the abnormal reading result is returned to the second client side, and the second client side obtains the abnormal reading result returned by the server side and displays the abnormal reading result to the user, so that the user can intuitively know which part of reading is abnormal.

According to the scheme provided by the invention, the abnormal reading result is displayed to the user, so that the analysis of the reading behaviors of the monitored personnel is provided for the user, and the user can know which abnormal reading behaviors of the monitored personnel occur in the reading process, so that the reading condition of the monitored personnel can be effectively monitored.

Fig. 6 shows a flow diagram of a reading monitoring method according to an embodiment of the invention. As shown in fig. 6, the method comprises the steps of:

step S601, monitoring an abnormal reading result query operation triggered by a user.

Specifically, the second client may provide the teacher or the parent with the abnormal reading result viewing page, where the abnormal reading result viewing page includes an abnormal reading result query button, and when the teacher or the parent wants to know the reading condition of the student, the teacher or the parent may click the abnormal reading result query button, and the user clicks the abnormal reading result query button, to be regarded as triggering the abnormal reading result query operation.

Step S602, in response to the abnormal reading result query operation, an abnormal reading result query request is sent to the server side, so that the server side can query and determine an abnormal reading result according to the abnormal reading result query request.

Step S603, obtaining and displaying an abnormal reading result including the first client information, the electronic book page information and the abnormal reading type returned by the server.

When the server detects that the user has abnormal reading behaviors, the abnormal reading type can be determined, for example, fast page turning or non-page turning or progress bar skip reading or progress bar drag skip reading or chapter skip reading and the like. In addition, it can also determine which page of which e-book has abnormal reading behavior, generate an abnormal reading result containing the first client information, e-book page information and abnormal reading type, and return the generated abnormal reading result to the second client.

The second client acquires an abnormal reading result which is returned by the server and contains the first client information, the electronic book page information and the abnormal reading type, and displays the abnormal reading result to the user, so that the user can intuitively know which part of the student or the child reads abnormally, and the user can conveniently correct the abnormal reading behavior of the student or the child.

Step S604, monitoring a reading plan report query operation triggered by the user.

In this embodiment, the user may arrange a reading plan to the student or child, for example, the reading plan task is: the reading is continuously carried out for 21 days, a certain electronic book is read, and the reading time per day is not less than 30 minutes. The second client side can provide a reading plan view page for the user, the reading plan view page comprises a reading plan query button, when a teacher or a parent wants to know the completion condition of the reading plan of the student, the reading plan query button can be clicked, and the user clicks the reading plan query button to be regarded as triggering the reading plan report query operation.

Step S605, in response to the reading plan report query operation, sends a reading plan report query request to the server for the server to determine a reading plan report according to the reading plan report query request query.

After the second client monitors the reading plan report inquiring operation, the second client responds to the reading plan report inquiring operation and sends a reading plan report inquiring request to the server so that the server can inquire and determine the reading plan report according to the reading plan report inquiring request. Alternatively, the abnormal reading result query request may carry information of the object to be queried, for example, class information of a certain class or grade information of a certain grade or information of a certain student, etc.

Step S606, a reading plan report returned by the server is obtained and displayed.

After the server side inquires and obtains the corresponding reading plan report, the reading plan report is returned to the second client side, and the second client side obtains the reading plan report returned by the server side and displays the reading plan report to the user. The user can view the reading plan report in a targeted manner according to actual requirements, such as summarizing requirements and screening requirements.

In step S607, the user-triggered query operation for the total word count order result is monitored.

Specifically, the second client may provide the teacher or the parent with a user reading total word count sorting result viewing page, where the user reading total word count sorting result viewing page includes a user reading total word count sorting result query button, and when the teacher or the parent wants to know that a plurality of students are sorting according to the user reading total word count, the user reading total word count sorting result query button may be clicked, and the user clicks the user reading total word count sorting result query button to be regarded as triggering the user reading total word count sorting result query operation.

Step S608, in response to the user reading total word count sorting result query operation, a user reading total word count sorting result query request is sent to the server, so that the server can determine the user reading total word count sorting result according to the user reading total word count sorting result query request.

After monitoring the query operation of the total word number reading sequencing result, the second client responds to the query operation of the total word number reading sequencing result, and sends a query request of the total word number reading sequencing result to the server, so that the server can query and determine the total word number reading sequencing result of the user according to the query request of the total word number reading sequencing result of the user. Alternatively, the abnormal reading result query request may carry information of the object to be queried, for example, class information of a certain class or grade information of a certain grade, etc.

Step S609, the result of the total word number sorting of the user reading returned by the server is obtained and displayed.

After the server side inquires and obtains the corresponding total word number sequencing result of the user reading, the total word number sequencing result of the user reading is returned to the second client side, the second client side obtains the total word number sequencing result of the user reading returned by the server side, and the total word number sequencing result of the user reading is displayed to the user.

In an optional embodiment of the present invention, the user may also view the results of sorting according to the total time length of reading by the user, and the specific implementation is as follows: monitoring user reading total duration sequencing result query operation triggered by a user; responding to the inquiry operation of the total time length sequencing result of the user, and sending an inquiry request of the total time length sequencing result of the user to the server side so that the server side can inquire and determine the sequencing result of the total time length of the user according to the inquiry request of the total time length sequencing result of the user; and acquiring and displaying a user reading total duration sequencing result returned by the server. The implementation process of the method is similar to steps S607-S609, and will not be repeated here.

In an optional embodiment of the present invention, the user may also view the results of the sorting according to the reading speed of the user, and the specific implementation is as follows: monitoring user reading speed sequencing result query operation triggered by a user; responding to the inquiry operation of the user reading speed sequencing result, and sending an inquiry request of the user reading speed sequencing result to the server side so that the server side can inquire and determine the user reading speed sequencing result according to the inquiry request of the user reading speed sequencing result; and obtaining and displaying a user reading speed sequencing result returned by the server. The implementation process of the method is similar to steps S607-S609, and will not be repeated here.

According to the scheme provided by the invention, the abnormal reading result is displayed to the user, so that the analysis of the reading behaviors of the monitored personnel is provided for the user, and the user can know which abnormal reading behaviors of the monitored personnel occur in the reading process, so that the reading condition of the monitored personnel can be effectively monitored; in the case of normal reading, the reading situation of the monitored person is analyzed from multiple angles, for example, the reading situation can be ranked by referring to absolute values such as the total number of words read by the user, the total time length read by the user, or relative values such as the reading speed of the user, or the reading situation in the class, or the reading situation can be estimated based on a reading plan report or the like.

The embodiment of the invention also provides a nonvolatile computer storage medium, and the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the reading monitoring method in any method embodiment.

The executable instructions may be particularly useful for causing a processor to: acquiring user reading behavior data reported by a first client for pre-created buried point acquisition; performing data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior; if the abnormal reading behavior of the user corresponding to the first client is determined, generating an abnormal reading result.

In an alternative embodiment, the user reading the behavioral data includes: page turning time corresponding to page turning operation determined based on page buried points;

the executable instructions further cause the processor to: determining page turning interval duration according to page turning time corresponding to the current page turning operation and page turning time corresponding to the last page turning operation; calculating the reading speed of a user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval; judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client.

In an alternative embodiment, the user reading the behavioral data includes: reading progress determined based on the progress bar embedded points;

the executable instructions further cause the processor to: judging whether the page attribute of the electronic book page corresponding to the reading progress is read, if not, determining that the user corresponding to the first client has abnormal reading behaviors.

In an alternative embodiment, the user reading the behavioral data includes: chapter information corresponding to the clicking operation determined based on the directory chapter embedded point;

the executable instructions further cause the processor to: judging whether chapter information corresponding to the clicking operation is continuous with chapter information corresponding to the last clicking operation, if not, determining that abnormal reading behaviors exist for a user corresponding to the first client.

In an alternative embodiment, the user reading the behavioral data includes: page turning interval duration and data mark type corresponding to page turning operation determined based on page buried points;

the executable instructions further cause the processor to: if the data mark type is a preset type, calculating the reading speed of the user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval; judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client.

In an alternative embodiment, the executable instructions further cause the processor to: aiming at a first client with a monitored attribute, determining electronic book information and electronic book page information with abnormal reading behaviors according to user reading behavior data; generating an abnormal reading result containing electronic book information, electronic book page information and abnormal reading types; and sending the abnormal reading result to the first client for display.

In an alternative embodiment, the executable instructions further cause the processor to: aiming at a second client with monitoring attribute, determining e-book information and e-book page information with abnormal reading behaviors according to the reading behavior data of a user; generating an abnormal reading result comprising first client information, electronic book page information and abnormal reading types; and sending the abnormal reading result to the second client for display.

the executable instructions also cause the processor to: if the fact that the user corresponding to the first client does not have abnormal reading behaviors is determined, counting and calculating total word reading numbers of the user and/or total reading duration of the user in a preset time period according to page turning time corresponding to page turning operation; and sequencing the plurality of first clients according to the total number of words read by the user and/or the total duration of reading by the user, and generating a sequencing result.

In an alternative embodiment, the executable instructions further cause the processor to: if the user corresponding to the first client side does not have abnormal reading behaviors, calculating the statistics data of each reading task corresponding to the user reading plan based on the statistics data of the user reading behaviors; and calculating the completion proportion of the user reading plan according to the statistical data of each reading task and the task weight, judging whether the user completes the user reading plan according to the completion proportion of the user reading plan, and generating a reading plan report according to the judgment result.

In an alternative embodiment, the executable instructions further cause the processor to: and weighting and calculating the completion proportion of the user reading plan according to the statistical data of each reading task and the task weight.

In an alternative embodiment, the executable instructions further cause the processor to: judging whether the completion proportion of the reading plan is larger than or equal to the preset completion proportion of the reading plan, if not, determining that the user does not complete the reading plan of the user.

The executable instructions may be particularly useful for causing a processor to: monitoring triggering operation of a user on a pre-created buried point; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server for the server to perform data detection on the user reading behavior data, and generating an abnormal reading result; and acquiring and displaying an abnormal reading result returned by the server.

In an alternative embodiment, the pre-created buried points comprise: embedding points on a page:

the executable instructions further cause the processor to: and acquiring page turning time according to page turning operation of the embedded point of the page, and reporting the page turning time to the server.

In an alternative embodiment, the pre-created buried points comprise: the progress bar buries the point:

the executable instructions further cause the processor to: and acquiring a reading progress according to clicking operation or dragging operation of the embedded point of the progress bar, and reporting the reading progress to the server.

In an alternative embodiment, the pre-created buried points comprise: catalog chapter buries:

the executable instructions further cause the processor to: and acquiring chapter information according to clicking operation on the catalog chapter embedding point, and reporting the chapter information to the server.

the executable instructions further cause the processor to: the page turning time is collected according to the page turning operation of the embedded point of the page, the page turning interval duration is calculated according to the page turning time corresponding to the last page turning operation, the data mark type is determined, and the page turning interval duration and the data mark type are reported to the server.

In an alternative embodiment, the executable instructions further cause the processor to: and acquiring and displaying an abnormal reading result which is returned by the server and contains the electronic book information, the electronic book page information and the abnormal reading type.

The executable instructions may be particularly useful for causing a processor to: monitoring abnormal reading result query operation triggered by a user; responding to the abnormal reading result query operation, and sending an abnormal reading result query request to the server side so that the server side can query and determine an abnormal reading result according to the abnormal reading result query request; and acquiring and displaying an abnormal reading result returned by the server.

In an alternative embodiment, the executable instructions further cause the processor to: and acquiring and displaying an abnormal reading result which is returned by the server and contains the first client information, the electronic book page information and the abnormal reading type.

In an alternative embodiment, the executable instructions further cause the processor to: monitoring a reading plan report query operation triggered by a user; responding to the reading plan report inquiring operation, and sending a reading plan report inquiring request to the server side so that the server side can inquire and determine a reading plan report according to the reading plan report inquiring request; and acquiring and displaying a reading plan report returned by the server.

In an alternative embodiment, the executable instructions further cause the processor to:

monitoring user-triggered user reading total word number sequencing result query operation; responding to the inquiry operation of the total word number reading ordering result of the user, and sending an inquiry request of the total word number reading ordering result of the user to the server side so that the server side can determine the ordering result of the total word number reading of the user according to the inquiry request of the total word number reading ordering result of the user; obtaining and displaying a user reading total word number sorting result returned by the server; and/or

Monitoring user reading total duration sequencing result query operation triggered by a user; responding to the inquiry operation of the total time length sequencing result of the user, and sending an inquiry request of the total time length sequencing result of the user to the server side so that the server side can inquire and determine the sequencing result of the total time length of the user according to the inquiry request of the total time length sequencing result of the user; and acquiring and displaying a user reading total duration sequencing result returned by the server.

FIG. 7 illustrates a schematic diagram of a computing device, according to one embodiment of the invention, the particular embodiment of the invention not being limited to a particular implementation of the computing device.

As shown in fig. 7, the computing device may include: a processor 702, a communication interface (Communications Interface), a memory 706, and a communication bus 708.

Wherein: processor 702, communication interface 704, and memory 706 perform communication with each other via a communication bus 708.

A communication interface 704 for communicating with network elements of other devices, such as clients or other servers.

The processor 702 is configured to execute the program 710, and may specifically perform relevant steps in the foregoing embodiment of the reading monitoring method.

In particular, program 710 may include program code including computer-operating instructions.

The processor 702 may be a Central Processing Unit (CPU), or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included by the computing device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.

Memory 706 for storing programs 710. The memory 706 may comprise high-speed RAM memory or may further comprise non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 710 may be specifically configured to cause the processor 702 to: acquiring user reading behavior data reported by a first client for pre-created buried point acquisition; performing data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior; if the abnormal reading behavior of the user corresponding to the first client is determined, generating an abnormal reading result.

The program 710 further causes the processor 702 to: determining page turning interval duration according to page turning time corresponding to the current page turning operation and page turning time corresponding to the last page turning operation; calculating the reading speed of a user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval; judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client.

the program 710 further causes the processor 702 to: judging whether the page attribute of the electronic book page corresponding to the reading progress is read, if not, determining that the user corresponding to the first client has abnormal reading behaviors.

the program 710 further causes the processor 702 to: judging whether chapter information corresponding to the clicking operation is continuous with chapter information corresponding to the last clicking operation, if not, determining that abnormal reading behaviors exist for a user corresponding to the first client.

the program 710 further causes the processor 702 to: if the data mark type is a preset type, calculating the reading speed of the user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval; judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client.

In an alternative embodiment, the program 710 further causes the processor 702 to: aiming at a first client with a monitored attribute, determining electronic book information and electronic book page information with abnormal reading behaviors according to user reading behavior data; generating an abnormal reading result containing electronic book information, electronic book page information and abnormal reading types; and sending the abnormal reading result to the first client for display.

In an alternative embodiment, the program 710 further causes the processor 702 to:

aiming at a second client with monitoring attribute, determining e-book information and e-book page information with abnormal reading behaviors according to the reading behavior data of a user; generating an abnormal reading result comprising first client information, electronic book page information and abnormal reading types; and sending the abnormal reading result to the second client for display.

the program 710 also causes the processor 702 to: if the fact that the user corresponding to the first client does not have abnormal reading behaviors is determined, counting and calculating total word reading numbers of the user and/or total reading duration of the user in a preset time period according to page turning time corresponding to page turning operation; and sequencing the plurality of first clients according to the total number of words read by the user and/or the total duration of reading by the user, and generating a sequencing result.

In an alternative embodiment, the program 710 further causes the processor 702 to: if the user corresponding to the first client side does not have abnormal reading behaviors, calculating the statistics data of each reading task corresponding to the user reading plan based on the statistics data of the user reading behaviors; and calculating the completion proportion of the user reading plan according to the statistical data of each reading task and the task weight, judging whether the user completes the user reading plan according to the completion proportion of the user reading plan, and generating a reading plan report according to the judgment result.

In an alternative embodiment, the program 710 further causes the processor 702 to: and weighting and calculating the completion proportion of the user reading plan according to the statistical data of each reading task and the task weight.

In an alternative embodiment, the program 710 further causes the processor 702 to: judging whether the completion proportion of the reading plan is larger than or equal to the preset completion proportion of the reading plan, if not, determining that the user does not complete the reading plan of the user.

FIG. 8 illustrates a schematic diagram of a computing device, according to one embodiment of the invention, the particular embodiment of the invention not being limited to a particular implementation of the computing device.

As shown in fig. 8, the computing device may include: a processor (processor) 802, a communication interface (Communications Interface) 804, a memory (memory) 806, and a communication bus 808.

Wherein: processor 802, communication interface 804, and memory 806 communicate with each other via a communication bus 808.

A communication interface 804 for communicating with network elements of other devices, such as clients or other servers.

The processor 802 is configured to execute the program 810, and may specifically perform relevant steps in the foregoing embodiment of the reading monitoring method.

In particular, program 810 may include program code including computer operating instructions.

The processor 802 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included by the computing device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.

Memory 806 for storing a program 810. The memory 806 may include high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 810 may be specifically operable to cause the processor 802 to: monitoring triggering operation of a user on a pre-created buried point; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server for the server to perform data detection on the user reading behavior data, and generating an abnormal reading result; and acquiring and displaying an abnormal reading result returned by the server.

program 810 further causes processor 802 to: and acquiring page turning time according to page turning operation of the embedded point of the page, and reporting the page turning time to the server.

program 810 further causes processor 802 to: and acquiring a reading progress according to clicking operation or dragging operation of the embedded point of the progress bar, and reporting the reading progress to the server.

program 810 further causes processor 802 to: and acquiring chapter information according to clicking operation on the catalog chapter embedding point, and reporting the chapter information to the server.

program 810 further causes processor 802 to: the page turning time is collected according to the page turning operation of the embedded point of the page, the page turning interval duration is calculated according to the page turning time corresponding to the last page turning operation, the data mark type is determined, and the page turning interval duration and the data mark type are reported to the server.

In an alternative embodiment, program 810 further causes processor 802 to: and acquiring and displaying an abnormal reading result which is returned by the server and contains the electronic book information, the electronic book page information and the abnormal reading type.

FIG. 9 illustrates a schematic diagram of a computing device, according to one embodiment of the invention, the particular embodiment of the invention not being limited to a particular implementation of the computing device.

As shown in fig. 9, the computing device may include: a processor 902, a communication interface (Communications Interface), a memory 906, and a communication bus 908.

Wherein: processor 902, communication interface 904, and memory 906 communicate with each other via a communication bus 908.

A communication interface 904 for communicating with network elements of other devices, such as clients or other servers.

The processor 902 is configured to execute the program 910, and may specifically perform relevant steps in the foregoing embodiment of the reading monitoring method.

In particular, the program 910 may include program code including computer-operating instructions.

The processor 902 may be a central processing unit, CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included by the computing device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.

A memory 906 for storing a program 910. Memory 906 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 910 may be used to cause the processor 902 to perform operations comprising: monitoring abnormal reading result query operation triggered by a user; responding to the abnormal reading result query operation, and sending an abnormal reading result query request to the server side so that the server side can query and determine an abnormal reading result according to the abnormal reading result query request; and acquiring and displaying an abnormal reading result returned by the server.

In an alternative embodiment, the program 910 further causes the processor 902 to: and acquiring and displaying an abnormal reading result which is returned by the server and contains the first client information, the electronic book page information and the abnormal reading type.

In an alternative embodiment, the program 910 further causes the processor 902 to: monitoring a reading plan report query operation triggered by a user; responding to the reading plan report inquiring operation, and sending a reading plan report inquiring request to the server side so that the server side can inquire and determine a reading plan report according to the reading plan report inquiring request; and acquiring and displaying a reading plan report returned by the server.

In an alternative embodiment, the program 910 further causes the processor 902 to: monitoring user-triggered user reading total word number sequencing result query operation; responding to the inquiry operation of the total word number reading ordering result of the user, and sending an inquiry request of the total word number reading ordering result of the user to the server side so that the server side can determine the ordering result of the total word number reading of the user according to the inquiry request of the total word number reading ordering result of the user; obtaining and displaying a user reading total word number sorting result returned by the server; and/or

The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components according to embodiments of the present invention may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.

Claims

1. A reading monitoring method, comprising:

acquiring user reading behavior data reported by a first client for pre-created buried point acquisition; wherein the user reading behavior data comprises: at least one data of page turning time corresponding to page turning operation determined based on page embedded points, reading progress determined based on progress bar embedded points, chapter information corresponding to clicking operation determined based on catalog chapter embedded points, page turning interval duration corresponding to page turning operation determined based on page embedded points and data mark types;

Performing data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior;

if the abnormal reading behavior of the user corresponding to the first client is determined, generating an abnormal reading result;

wherein the user reading behavior data comprises: page turning time corresponding to page turning operation determined based on page buried points; the data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior further includes:

determining page turning interval duration according to page turning time corresponding to the current page turning operation and page turning time corresponding to the last page turning operation;

calculating the reading speed of a user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval;

judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client;

wherein the user reading behavior data comprises: reading progress determined based on the progress bar embedded points;

the data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior further includes:

Judging whether the page attribute of the electronic book page corresponding to the reading progress is read or not, if not, determining that the user corresponding to the first client side has abnormal reading behaviors;

wherein the user reading behavior data comprises: chapter information corresponding to the clicking operation determined based on the directory chapter embedded point; the data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior further includes:

judging whether chapter information corresponding to the clicking operation is continuous with chapter information corresponding to the last clicking operation, if not, determining that abnormal reading behaviors exist for a user corresponding to the first client;

wherein the user reading behavior data comprises: page turning interval duration and data mark type corresponding to page turning operation determined based on page buried points; the data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior further includes:

if the data mark type is a preset type, calculating the reading speed of the user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval;

judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client.

2. The method of claim 1, wherein the generating an anomalous reading result further comprises:

aiming at a first client with a monitored attribute, determining electronic book information and electronic book page information with abnormal reading behaviors according to user reading behavior data;

generating an abnormal reading result containing electronic book information, electronic book page information and abnormal reading types;

the method further comprises the steps of: and sending the abnormal reading result to the first client for display.

3. The method of claim 1, wherein the generating an anomalous reading result further comprises:

aiming at a second client with monitoring attribute, determining e-book information and e-book page information with abnormal reading behaviors according to the reading behavior data of a user;

generating an abnormal reading result comprising first client information, electronic book page information and abnormal reading types;

the method further comprises the steps of: and sending the abnormal reading result to the second client for display.

4. The method of claim 1, wherein the user reading behavior data comprises: page turning time corresponding to page turning operation determined based on page buried points;

The method further comprises the steps of: if the fact that the user corresponding to the first client does not have abnormal reading behaviors is determined, counting and calculating total word reading numbers of the user and/or total reading duration of the user in a preset time period according to page turning time corresponding to page turning operation;

and sequencing the plurality of first clients according to the total number of words read by the user and/or the total duration of reading by the user, and generating a sequencing result.

5. The method of claim 1, wherein the method further comprises: if the fact that the user corresponding to the first client does not have abnormal reading behaviors is determined, calculating the statistics data of each reading task corresponding to the user reading plan based on the user reading behavior data statistics;

and calculating the completion proportion of the user reading plan according to the statistical data of each reading task and the task weight, judging whether the user completes the user reading plan according to the completion proportion of the user reading plan, and generating a reading plan report according to the judgment result.

6. The method of claim 5, wherein calculating a user reading plan completion ratio based on the respective reading task statistics and task weights further comprises:

and weighting and calculating the completion proportion of the user reading plan according to the statistical data of each reading task and the task weight.

7. The method of claim 5, wherein the determining whether the user has completed the user reading plan based on the user reading plan completion ratio further comprises:

judging whether the completion proportion of the reading plan is larger than or equal to the preset completion proportion of the reading plan, if not, determining that the user does not complete the reading plan of the user.

8. A reading monitoring method, comprising:

monitoring triggering operation of a user on a pre-created buried point;

collecting user reading behavior data according to the triggering operation, and reporting the user reading behavior data to a server for the server to perform data detection on the user reading behavior data to generate an abnormal reading result; wherein the user reading behavior data comprises: at least one data of page turning time corresponding to page turning operation determined based on page embedded points, reading progress determined based on progress bar embedded points, chapter information corresponding to clicking operation determined based on catalog chapter embedded points, page turning interval duration corresponding to page turning operation determined based on page embedded points and data mark types; wherein the user reading behavior data comprises: page turning time corresponding to page turning operation determined based on page buried points; the server detects the data of the user reading behavior data, and the generating of the abnormal reading result further comprises: determining page turning interval duration according to page turning time corresponding to the current page turning operation and page turning time corresponding to the last page turning operation; calculating the reading speed of a user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval; judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client; wherein the user reading behavior data comprises: reading progress determined based on the progress bar embedded points; the server detects the data of the user reading behavior data, and the generating of the abnormal reading result further comprises: judging whether the page attribute of the electronic book page corresponding to the reading progress is read or not, if not, determining that the user corresponding to the first client side has abnormal reading behaviors; wherein the user reading behavior data comprises: chapter information corresponding to the clicking operation determined based on the directory chapter embedded point; the server detects the data of the user reading behavior data, and the generating of the abnormal reading result further comprises: judging whether chapter information corresponding to the clicking operation is continuous with chapter information corresponding to the last clicking operation, if not, determining that abnormal reading behaviors exist for a user corresponding to the first client; wherein the user reading behavior data comprises: page turning interval duration and data mark type corresponding to page turning operation determined based on page buried points; the server detects the data of the user reading behavior data, and the generating of the abnormal reading result further comprises: if the data mark type is a preset type, calculating the reading speed of the user according to the number of the characters of the pages of the electronic book and the duration of the page turning interval; judging whether the reading speed of the user is in a preset reading speed range, if not, determining that the abnormal reading behavior exists in the user corresponding to the first client;

And acquiring and displaying an abnormal reading result returned by the server.

9. The method of claim 8, wherein the pre-created buried point comprises: embedding points on a page:

collecting user reading behavior data according to the triggering operation, and reporting the user reading behavior data to a server side further comprises:

and acquiring page turning time according to page turning operation of the embedded point of the page, and reporting the page turning time to a server.

10. The method of claim 8, wherein the pre-created buried point comprises: the progress bar buries the point:

and acquiring a reading progress according to clicking operation or dragging operation of the embedded point of the progress bar, and reporting the reading progress to a server.

11. The method of claim 8, wherein the pre-created buried point comprises: catalog chapter buries:

and acquiring chapter information according to clicking operation on the catalog chapter embedding point, and reporting the chapter information to a server.

12. The method of claim 8, wherein the pre-created buried point comprises: embedding points on a page:

the page turning time is collected according to the page turning operation of the embedded point of the page, the page turning interval duration is calculated according to the page turning time corresponding to the last page turning operation, the data mark type is determined, and the page turning interval duration and the data mark type are reported to the server.

13. The method according to any one of claims 8-12, wherein the obtaining and displaying the abnormal reading result returned by the server further includes:

and acquiring and displaying an abnormal reading result which is returned by the server and contains the electronic book information, the electronic book page information and the abnormal reading type.

14. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;

the memory is configured to hold at least one executable instruction that causes the processor to:

wherein the user reading behavior data comprises: page turning time corresponding to page turning operation determined based on page buried points; the executable instructions further cause the processor to:

the executable instructions further cause the processor to:

wherein the user reading behavior data comprises: chapter information corresponding to the clicking operation determined based on the directory chapter embedded point; the executable instructions further cause the processor to:

wherein the user reading behavior data comprises: page turning interval duration and data mark type corresponding to page turning operation determined based on page buried points;

the executable instructions further cause the processor to:

15. The computing device of claim 14, wherein the executable instructions further cause the processor to:

and sending the abnormal reading result to the first client for display.

16. The computing device of claim 14, wherein the executable instructions further cause the processor to:

And sending the abnormal reading result to the second client for display.

17. The computing device of claim 14, wherein the user reading behavior data comprises: page turning time corresponding to page turning operation determined based on page buried points;

the executable instructions also cause the processor to:

if the fact that the user corresponding to the first client does not have abnormal reading behaviors is determined, counting and calculating total word reading numbers of the user and/or total reading duration of the user in a preset time period according to page turning time corresponding to page turning operation;

18. The computing device of claim 14, wherein the executable instructions further cause the processor to:

if the fact that the user corresponding to the first client does not have abnormal reading behaviors is determined, calculating the statistics data of each reading task corresponding to the user reading plan based on the user reading behavior data statistics;

19. The computing device of claim 18, wherein the executable instructions further cause the processor to:

20. The computing device of claim 18, wherein the executable instructions further cause the processor to:

21. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;

monitoring triggering operation of a user on a pre-created buried point;

And acquiring and displaying an abnormal reading result returned by the server.

22. The computing device of claim 21, wherein the pre-created buried point comprises: embedding points on a page:

the executable instructions further cause the processor to: and acquiring page turning time according to page turning operation of the embedded point of the page, and reporting the page turning time to a server.

23. The computing device of claim 21, wherein the pre-created buried point comprises: the progress bar buries the point:

the executable instructions further cause the processor to: and acquiring a reading progress according to clicking operation or dragging operation of the embedded point of the progress bar, and reporting the reading progress to a server.

24. The computing device of any of claims 21-23, wherein the pre-created buried point comprises: catalog chapter buries:

the executable instructions further cause the processor to: and acquiring chapter information according to clicking operation on the catalog chapter embedding point, and reporting the chapter information to a server.

25. The computing device of claim 21, wherein the pre-created buried point comprises: embedding points on a page:

26. The computing device of any of claims 21-23, wherein the executable instructions further cause the processor to:

27. A computer storage medium having stored therein at least one executable instruction that causes a processor to:

wherein the user reading behavior data comprises: page turning time corresponding to page turning operation determined based on page buried points;

the executable instructions further cause the processor to:

the user reading behavior data comprises: reading progress determined based on the progress bar embedded points;

the executable instructions further cause the processor to:

The user reading behavior data comprises: chapter information corresponding to the clicking operation determined based on the directory chapter embedded point;

the executable instructions further cause the processor to:

the user reading behavior data comprises: page turning interval duration and data mark type corresponding to page turning operation determined based on page buried points;

the executable instructions further cause the processor to:

28. The computer storage medium of claim 27, wherein the executable instructions further cause the processor to:

and sending the abnormal reading result to the first client for display.

29. The computer storage medium of claim 27, wherein the executable instructions further cause the processor to:

and sending the abnormal reading result to the second client for display.

30. The computer storage medium of claim 27, wherein the user reading behavior data comprises: page turning time corresponding to page turning operation determined based on page buried points;

the executable instructions also cause the processor to:

31. The computer storage medium of claim 27, wherein the executable instructions further cause the processor to:

32. The computer storage medium of claim 31, wherein the executable instructions further cause the processor to:

33. The computer storage medium of claim 31, wherein the executable instructions further cause the processor to:

34. A computer storage medium having stored therein at least one executable instruction that causes a processor to:

monitoring triggering operation of a user on a pre-created buried point;

And acquiring and displaying an abnormal reading result returned by the server.

35. The computer storage medium of claim 34, wherein the pre-created buried point comprises: embedding points on a page:

36. The computer storage medium of claim 34, wherein the pre-created buried point comprises: the progress bar buries the point:

37. The computer storage medium of claim 34, wherein the pre-created buried point comprises: catalog chapter buries:

38. The computer storage medium of claim 34, wherein the pre-created buried point comprises: embedding points on a page:

39. The computer storage medium of any one of claims 34-38, wherein the executable instructions further cause the processor to: and acquiring and displaying an abnormal reading result which is returned by the server and contains the electronic book information, the electronic book page information and the abnormal reading type.