CN111475639A

CN111475639A - Reading monitoring method, computing device and computer storage medium

Info

Publication number: CN111475639A
Application number: CN202010247047.3A
Authority: CN
Inventors: 吴天嫡
Original assignee: Ireader Technology Co Ltd
Current assignee: Ireader Technology Co Ltd
Priority date: 2020-03-31
Filing date: 2020-03-31
Publication date: 2020-07-31
Anticipated expiration: 2040-03-31
Also published as: CN111475639B

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

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, a computing device and a computer storage medium.

Background

Reading is an extremely important learning means from old to present, and the traditional reading mode is to read paper books, however, whether a user really reads cannot be monitored. With the rapid popularization of intelligent devices, a 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 quickly.

For a group of students, the students are usually required to be able to read the e-books with a high frequency and grasp the contents of the e-books, and the measurement criterion is usually whether the students finish reading the e-books, however, the students may have abnormal reading behaviors such as fast page turning, pull progress and the like during reading to satisfy the reading task due to traitory psychology, laziness and the like. If the behavior data read by the user is recorded according to the final book reading progress, and the number of words read by the user is calculated according to the reading progress, the number of words actually read by the user is greatly different from the number of words obtained by the user. For example, a teacher may read tens of thousands of words for a student, but the content that the student really reads and grasps is not. Therefore, a scheme capable of effectively monitoring the reading condition of the students is lacked.

Disclosure of Invention

In view of the above, the present invention has been developed to provide a reading monitoring method, a computing device, and a computer storage medium that overcome or at least partially address the above-identified problems.

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

acquiring user reading behavior data which is acquired and reported by a first client to a pre-established buried point; performing data detection on the reading behavior data of the user to determine whether the user corresponding to the first client has abnormal reading behavior; and if the user corresponding to the first client side is determined to have abnormal reading behavior, generating an abnormal reading result.

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

monitoring the triggering operation of a user on a pre-established buried point; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server side so that the server side can perform data detection on the user reading behavior data to generate 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, sending 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; 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 processor, the memory and the communication interface complete mutual communication 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 at least one executable instruction stored therein, the executable instruction causing a processor to:

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

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

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

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

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

fig. 2B is a flowchart illustrating a specific implementation of step S202;

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

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

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

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

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

FIG. 8 illustrates a schematic structural diagram of a computing device in accordance with one embodiment of the present invention;

FIG. 9 shows a schematic structural 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 invention are shown in the drawings, it should be understood that the invention can 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 one embodiment of the invention. As shown in fig. 1, the method comprises the steps of:

step S101, user reading behavior data collected and reported by a first client to a pre-established buried point is obtained.

The embedded point is a key part of data acquisition, data to be acquired is predefined through the embedded point, and the embedded point can be set by adopting a code embedded point technology, a visual embedded point technology and a non-embedded point technology. For example, in order to monitor the reading of the electronic book by the user, a page buried point, a directory buried point, a progress bar buried point, or the like may be set, which is merely an example and has no limiting effect.

The method comprises the steps that a first client side needs to monitor operation behaviors corresponding to a buried point of a user in real time, after the operation behaviors corresponding to the buried point of the user are monitored, user reading behavior data are collected, wherein the user reading behavior data are behavior data generated by the user in a reading process, after the first client side collects the user reading behavior data, the user reading behavior data are reported to a server side, and the server side obtains the user reading behavior data collected and reported by the first client side to the buried point which is created in advance.

Step S102, carrying out data detection 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, data detection is carried out on the user reading behavior data, whether abnormal reading behaviors exist in a user corresponding to the first client or not can be determined through the data detection, and the abnormal reading behaviors refer to behaviors which are generated in the reading process of the user and are not in accordance with normal reading.

Step S103, if the user corresponding to the first client side is determined to have abnormal reading behavior, an abnormal reading result is generated.

When it is determined that the user corresponding to the first client has the abnormal reading behavior, an abnormal reading result may be generated, where the abnormal reading result is used to describe the abnormal reading behavior generated by the user, for example, a position of an e-book page where the abnormal reading behavior is generated, an abnormal reading type, and the like.

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

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

step S201, user reading behavior data collected and reported by a first client to a pre-established buried point is obtained.

After the embedded point is created, the first client needs to monitor an operation behavior corresponding to the embedded point of the user in real time, after the operation behavior corresponding to the embedded point of the user is monitored, user reading behavior data is collected, wherein the user reading behavior data is behavior data 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 obtains the user reading behavior data which is collected and reported by the first client to the embedded point which is created in advance.

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

As shown in fig. 2B, the step S202 may specifically perform data detection by the following method steps:

step S2021, if the user reading behavior data includes the page turning time corresponding to the page turning operation determined based on the page embedding point, determining 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 the page turning time corresponding to the page turning operation and the page turning time corresponding to the last page turning operation, calculating the reading speed of a user according to the number of characters on the page of the electronic book and the page turning interval duration, judging whether the reading speed of the user is within 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 behavior.

The first client can determine the reading behavior data of the user by monitoring page embedded points, such as page turning time of each page turning operation and page number information of an operated page, and the like, 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 can store the reading behavior data of the user received each time, the server extracts the page turning time corresponding to the last page turning operation determined based on the page embedded points after receiving the reported page turning time, calculates the page turning interval duration between two page turning operations, the page turning interval duration reflects the duration for the user to read the page, and the number of characters of the e-book page corresponding to the page turning operation is known, so that the reading speed of the user can be calculated according to the number of characters of the page and the page turning interval duration, the user reading speed can reflect whether the user reads the electronic book seriously, for example, the user reading speed can be calculated by the following formula: the reading speed of the user is equal to the number of characters on the page of the electronic book/the duration of the page turning interval.

In this embodiment, a buried point may be further set at the "start reading" position, 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, reading speeds of different types of users are different, and therefore, a corresponding preset reading speed range can be selected according to a user attribute, specifically, the first client reports user reading behavior data and also reports the user attribute to the server, and the server selects the preset reading speed range corresponding to the user attribute according to the user attribute, wherein the preset reading speed range defines a speed that the user with the user attribute should keep when normally reading an electronic book, the user attribute may be information of a grade where the user is located, and normal reading speed ranges corresponding to students of different grades are different.

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

If the reading speed of the user is judged not to fall within the preset reading speed range, it can be determined that the user corresponding to the first client has an abnormal reading behavior, such as a rapid page turning behavior or a no page turning behavior, which are behaviors generated when the user does not read the electronic book seriously; if the reading speed of the user is within the preset reading speed range, it may be determined that the user corresponding to the first client does not have an abnormal reading behavior, for example, a fast page turning behavior or a no page turning behavior does not exist, indicating that the user reads the electronic book seriously.

Step S2022, if the user reading behavior data includes a reading progress determined based on the progress bar buried point, determining whether the user corresponding to the first client has an 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 e-book page corresponding to the reading progress is read or not, and if not, determining that the user corresponding to the first client has abnormal reading behavior; if so, determining that the user corresponding to the first client does not have abnormal reading behavior.

In actual reading, for a user with a reading task, the user is generally required to read the electronic book gradually, then the progress bar is also gradually increased, at this time, both the behavior of clicking the progress bar or the behavior of dragging the progress bar are considered to not read the electronic book seriously, however, it is also likely that the user has already read the contents of the electronic book portion, the user re-reviews the electronic book, and the behavior of clicking the progress bar or the behavior of dragging the progress bar on the read electronic book portion is not considered to not read the electronic book seriously.

After a user finishes reading an electronic book page, the attribute of the electronic book page is marked as read, the first client monitors the buried point of the progress bar, and can monitor the clicking operation or the dragging operation of the user on 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 acquires the reading progress reported by the first client, whether the user corresponding to the first client has abnormal reading behavior can be determined by judging whether the page attribute of the electronic book page corresponding to the reading progress is read or not. If the page attribute of the e-book page corresponding to the reading progress is judged to be unread, it can be determined that the user corresponding to the first client has abnormal reading behaviors, for example, skip reading realized by dragging the progress bar or clicking the progress bar, which are all behaviors generated by the user not reading the e-book seriously; when the page attribute of the e-book page corresponding to the reading progress is judged to be read, it can be determined that the user corresponding to the first client does not have an abnormal reading behavior, for example, a jump reading behavior realized by dragging the progress bar or clicking the progress bar does not exist, and although the user clicks the progress bar or drags the progress bar, the user aims at the read e-book part, the user is an allowed reading behavior;

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

Step S2023, if the user reading behavior data includes chapter information corresponding to the click operation determined based on the directory chapter burying point, determining 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 the chapter information corresponding to the click operation is continuous with the chapter information corresponding to the last click operation, and if not, determining that the user corresponding to the first client has abnormal reading behavior; if so, determining that the user corresponding to the first client does not have abnormal reading behavior.

In actual reading, for a user with a reading task, the user is generally required to read chapter by chapter, but cannot read chapter by chapter in a skipping manner, so that the first client can collect chapter information of each chapter clicked by the user by setting a directory chapter burying point and report the chapter information to the server.

The server side obtains chapter information reported by the first client side for the click operation, extracts chapter information corresponding to the last click operation, and then judges whether the chapter information corresponding to the click operation is continuous with the chapter information corresponding to the last click operation, for example, the chapter information corresponding to the click operation is 5, after the chapter information corresponding to the last click operation is extracted, judges whether the chapter information corresponding to the last click operation is 4, determines whether a user reads across chapters according to a judgment result, and if the chapter information is not 4, indicates that the user reads across chapters, and an abnormal reading behavior exists. When it is determined that the chapter information corresponding to the current click operation is not continuous with the chapter information corresponding to the last click operation, it may be determined that the user corresponding to the first client has an abnormal reading behavior, for example, cross-chapter skip reading implemented by clicking a corresponding chapter in a directory, which is a behavior generated by the user without reading the electronic book seriously. When it is determined that the chapter information corresponding to the current click operation is not continuous with the chapter information corresponding to the last click operation, it may be determined that the user corresponding to the first client has an abnormal reading behavior, for example, cross-chapter skip reading implemented by clicking a corresponding chapter in a directory, which is a behavior generated by the user without reading the electronic book seriously.

In order to accurately judge whether the user has abnormal reading behavior, under the condition that the chapter information corresponding to the click operation at this time is continuous with the chapter information corresponding to the last click operation, whether page attributes of an electronic book page contained in the chapter corresponding to the chapter information corresponding to the last click operation are read can be judged, and if yes, the user corresponding to the first client side is determined to have no abnormal reading behavior; if not, determining that the user corresponding to the first client has abnormal reading behavior.

In practical application, a situation may also occur 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 by clicking a directory chapter, reads a part of the content of the electronic book first, and then jumps back to an original reading position by clicking the directory chapter, which is not considered as an abnormal reading behavior, so that the server can determine whether the user corresponding to the first client has an abnormal reading behavior by judging whether chapter information corresponding to the current clicking operation is consistent with chapter information corresponding to the last clicking operation, and if not, determine that the user corresponding to the first client has an abnormal reading behavior; and if so, determining that the user corresponding to the first client does not have abnormal reading behavior.

It should be noted that, in the actual reading process, a user may have any one or more of a page turning operation, a process bar clicking, a progress bar dragging, or a catalog chapter clicking, so that this embodiment may include one or more of steps S2021 to S2023, and the most preferred embodiment includes steps S2021 to S2023, and in addition, this embodiment does not limit the execution sequence of steps S2021 to S2023.

In an optional embodiment of the present invention, the user reading behavior data comprises: determining page turning interval duration and data mark types corresponding to page turning operation based on page embedded points;

the data detection of the user reading behavior data to determine whether the user corresponding to the first client has the abnormal reading behavior may specifically be implemented by the following method: if the data mark type is a preset type, calculating the reading speed of a user according to the number of characters on the page of the electronic book and the page turning interval duration; and judging whether the reading speed of the user is within a preset reading speed range, and if not, determining that the user corresponding to the first client has abnormal reading behaviors.

The first client can determine the reading behavior data of the user by monitoring page buried points, for example, the first client can determine page turning time of each page turning operation, extract the page turning time corresponding to the last page turning operation determined based on the page buried points after monitoring the page turning time of the current page turning operation, calculate the page turning interval duration between the two page turning operations, the page turning interval duration reflects the duration used by the user for reading the page, and preliminarily determine the data mark type, such as abnormal data or normal data, according to the page turning interval duration, and report the page turning interval duration and the data mark type to the server.

After obtaining the page turning interval duration and the data mark type reported by the first client, the server determines whether the data mark type is a preset type, for example, an abnormal type, and if the data mark type is the preset type, calculates a user reading speed according to the e-book page text number and the page turning interval duration, where the text number of the e-book page corresponding to the page turning operation is known, and the user reading speed can reflect whether the user reads the e-book seriously, and for example, the user reading speed can be calculated by the following formula: the reading speed of a user is equal to the number of characters on a page of an electronic book/the duration of a page turning interval; if the type is not the preset type, for example, the type is the normal type, it is determined that the user corresponding to the first client does not have abnormal reading behavior.

Step S203, determining, for the first client having the monitored attribute, the electronic book information and the electronic book page information having the abnormal reading behavior according to the user reading behavior data under the condition that it is determined that the user corresponding to the first client has the abnormal reading behavior.

In the case that it is determined that the user corresponding to the first client has abnormal reading behavior, the abnormal reading result may be generated, but the abnormal reading result generated for different clients is different, for example, for the first client used by the student or the child and having the monitored attribute, the generated abnormal reading result mainly aims to tell the student or the child where the abnormal reading phenomenon occurs and what the abnormal reading type occurs.

When it is determined that the user reading behavior data is abnormal reading behavior data, the electronic book information and the electronic book page information, such as the electronic book ID and the page number of the electronic book page, having the abnormal reading behavior 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 displaying.

When it is detected that the user has an abnormal reading behavior according to the step S202, the abnormal reading type may be determined, for example, fast page turning, no page turning, skip reading by clicking a progress bar, skip reading by dragging a progress bar, skip reading by crossing chapters, or the like. 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 displayed to the user through the first client side, so that the user can intuitively know which part of reading is abnormal.

Step S205, in a case that it is determined that the user corresponding to the first client has the abnormal reading behavior, determining, for the second client having the monitoring attribute, the electronic book information and the electronic book page information having the abnormal reading behavior according to the user reading behavior data.

Steps S203-S204 describe the abnormal reading result generated for the first client with the monitored property, and in this step, the abnormal reading result to be referred by the teacher or the parent is generated from the perspective of the second client with the monitored property, for example, the client used by the teacher or the parent. The generated abnormal reading report has the main purposes of telling teachers or parents which students or children have abnormal reading phenomena and what the abnormal reading types are.

Step S206, generating an abnormal reading result containing 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 displaying.

When it is detected that the user has an abnormal reading behavior according to the step S202, the abnormal reading type may be determined, for example, fast page turning, no page turning, skip reading by clicking a progress bar, skip reading by dragging a progress bar, skip reading by crossing chapters, or the like. And then, generating an abnormal reading result containing 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 side and displayed to the user through the second client side, so that the user can intuitively know which part of the student or child is abnormal in reading.

Step S207, under the condition that it is determined that the user corresponding to the first client does not have the 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 embedding point, statistically calculating the total word reading number and/or the total reading duration of the user within the preset time period according to the page turning time 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, the sorting is performed according to the total word number read by the user, the total reading time length of the user, the reading speed of the user, or the like. The user reading behavior data reported by the first client can comprise page turning time corresponding to page turning operation determined based on page embedding points, the number of characters on a page of the electronic book is determined, the server records the page turning time corresponding to each page turning operation, page turning times in a preset time period can be counted and calculated, so that the page turning number is determined, and the total number of words read by a user in the preset time period can be counted and calculated based on the page turning number; screening out 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 the total reading duration of a user in the preset time period based on the page turning interval duration. The total reading time of the user is the sum of the page turning interval time in the 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 read by the user.

And S208, sequencing the plurality of first clients according to the total word reading number and/or the total reading time of the user to generate a sequencing result.

After the total word reading number and/or the total reading time of the user are/is obtained through calculation, the plurality of first clients can be sequenced according to the total word reading number and/or the total reading time of the user, and a sequencing result is generated. For example, the total word number read by the user is used as a reference for sorting, and sorting is performed; or taking the total reading time of the user as a reference for sorting to sort; or, calculating the user reading speed according to the total user reading time and the total user reading word number, and sequencing the plurality of first clients according to the user reading speed.

The embodiment not only can realize the reading sequencing of the plurality of first clients in the class, but also can realize the reading sequencing between schools, and when the reading sequencing is carried out among the schools, the reading speed of the user can be used as the sequencing reference for sequencing to generate the sequencing result by considering the difference of the number of students in the schools.

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

In practical applications, there may be teachers who have arranged the user reading plans for students in the class, for example, the reading plan tasks are: continuously reading for 21 days, completing reading of a certain electronic book, and keeping the reading time of not less than 30 minutes each day. The completion degree of the reading plan of the user can comprehensively evaluate the completion condition of the student on the reading plan of the user through the 3 aspects of the reading progress, the reading time per day and the reading days in the reading task. Of course, the user reading plan is only illustrative and not limiting.

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

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

In order to better evaluate the completion of the reading plan of the user, a weight is set for each reading task in the reading plan of the user, so the completion ratio of the reading plan of the user can be calculated according to the statistical data of each reading task and the task weight, for example, the completion ratio of the reading plan of the user is calculated in a weighted manner according to the statistical data of each reading task and the task weight, for the reading plan task: for continuously reading 21 days, completing an electronic book, and keeping the reading time of not less than 30 minutes each day, the completion proportion of each reading task can be calculated, then the product of the completion proportion of each reading task and the task weight of the reading task is calculated, and the obtained products are added to obtain the completion proportion of the reading plan of the user.

After the user reading plan completion proportion is obtained through calculation, whether the user completes the reading plan 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 a preset reading plan completion proportion is judged, and if not, it is determined that the user does not complete the user reading plan; if so, determining that the user finishes the user reading plan, wherein the preset reading plan finishing proportion can be flexibly set according to actual needs, for example, set to be 0.9, which is only an example and has no limiting function, and after judging whether the user finishes the reading plan, generating a reading plan report according to a judgment result.

The scheme provided by the invention can not only accurately analyze whether the user has abnormal reading behaviors or not so as to help the student correct the abnormal reading behaviors in time, but also generate abnormal reading results which can help the student, teacher or parents to know the actual reading conditions according to actual needs, for example, for the student, the abnormal reading position and abnormal reading type can be prompted, for the teacher, the student can be prompted which page of the electronic book has the abnormal reading and abnormal reading type, the student reading behavior analysis is provided for the teacher, the teacher is guided to deeply dig the reading completion degree and the reading harvest degree of the student, the supervising and prompting effects are played for the user reading, and the user reading conditions can be analyzed from multiple angles under the normal reading condition, for example, the absolute values of the total word number of the user reading and the total reading duration of the user can be referred, Or relative values such as reading speed of the user, or evaluating reading conditions based on the weight of the reading plan, etc., such as reading ranking, etc.

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

step S301, the triggering operation of the user on the pre-established buried point is monitored.

The execution main body of the reading monitoring method provided by the embodiment is the first client, which is used by the staff needing to be monitored for reading, such as students.

The embedded point is a key part of data acquisition, data to be acquired is predefined through the embedded point, and the embedded point can be set by adopting a code embedded point technology, a visual embedded point technology and a non-embedded point technology. For example, in order to monitor the reading of the electronic book by the user, a page buried point, a directory buried point, a progress bar buried point, or the like may be set, which is merely an example and has no limiting effect. The first client needs to monitor the triggering operation of the user on the pre-established 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, collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to the server, so that the server can perform data detection on the user reading behavior data, and generating an abnormal reading result.

When the triggering operation corresponding to the buried point of the user is monitored, the reading behavior data of the user is collected, wherein the reading behavior data of the user is behavior data generated in the reading process of the user, the reading behavior data of the user is reported to the server side after the reading behavior data of the user is collected by the first client side, the data detection is carried out on the reading behavior data of the user by the server side, an abnormal reading result is generated, the data detection is carried out on the reading behavior data of the user by the server side, 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 here.

And step S303, obtaining and displaying the abnormal reading result returned by the server.

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

According to the method provided by the embodiment of the invention, the triggering operation of the user on the pre-established buried point is monitored; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server side so that the server side can perform data detection on the user reading behavior data to generate an abnormal reading result; and acquiring and displaying an abnormal reading result returned by the server. According to the scheme provided by the invention, the pre-established buried points are monitored in real time, and 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 abnormal reading behaviors exist in the user can be detected based on the user reading behavior data, and the abnormal reading result is displayed to the user, so that the user can be supervised to read carefully, 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:

step S401, the triggering operation of the user on the pre-established buried point is monitored.

Step S402, collecting page turning time according to page turning operation of page embedded points, and reporting the page turning time to the server side so that the server side can perform data detection on the page turning time to generate abnormal reading results.

In this embodiment, page burying points are set for any page of the electronic book, so that the page turning operation triggered by a user can be monitored by monitoring the page burying points, the page turning time corresponding to the page turning operation is acquired, and the page turning time is reported to the server, so that the server performs data detection on the page turning time to generate an abnormal reading result.

In an optional implementation manner of the present invention, the first client may collect page turning time according to a page turning operation on a page buried point, calculate a page turning interval duration according to the page turning time corresponding to a previous page turning operation, determine a data tag type, and report the page turning interval duration and the data tag 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, page turning time corresponding to the page turning operation is acquired, a first client locally can 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, page turning interval duration is calculated according to the page turning time corresponding to the last page turning operation, that is, the time difference of two page turning times, after the page turning interval duration is determined, whether the page turning interval duration falls within a preset page turning interval duration range can be judged, and if not, the data mark type is determined to be an abnormal type; if so, determining that the data mark type is a normal type, and reporting the page turning interval duration and the data mark type to the server, so that the server performs data detection on the page turning interval duration and the data mark type to generate an abnormal reading result.

Step S403, reading progress is collected according to clicking operation or dragging operation on the buried point of the progress bar, the reading progress is reported to the server, the server performs data detection on 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 acquired, and the reading progress is reported to a server, so that the server performs data detection on the reading progress to generate an abnormal reading result, which is specifically shown in relevant steps in the embodiment of fig. 2 and is not repeated here.

And S404, collecting chapter information according to the clicking operation on the embedded points of the directory chapters, and reporting the chapter information to the server side so that the server side can perform data detection on the chapter information and generate an abnormal reading result.

In this embodiment, a progress bar embedded point is set for a directory chapter of an electronic book, so that a click operation triggered by a user can be monitored by monitoring the directory chapter embedded point, chapter information corresponding to the click operation is collected, and the chapter information is reported to a server, so that the server performs data detection on the chapter information to generate an abnormal reading result.

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

Step S405, obtaining 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.

When the server detects that the user has abnormal reading behaviors, the server can determine the abnormal reading type, such as fast page turning or no page turning, skip reading by clicking a progress bar, skip reading by dragging the progress bar, skip reading across chapters and the like. In addition, the method can also determine which page of which electronic book has abnormal reading behavior, generate an abnormal reading result containing electronic book information, electronic book page information and an abnormal reading type, and return the generated abnormal reading result to the first client.

The first client side obtains the abnormal reading result which is returned by the server side and contains the e-book information, the e-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 reading is abnormal, and the effect of supervising the user to carefully read is achieved.

According to the scheme provided by the invention, the pre-established buried points are monitored in real time, and 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 abnormal reading behavior exists in the user can be detected based on the user reading behavior data, and the user can clearly know where the user does not read seriously by displaying the abnormal reading result containing the e-book information, the e-book page information and the abnormal reading type to the user, so that the effect of supervising the user to read seriously is achieved, and the user can correct the abnormal reading behavior in time.

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

step S501, abnormal reading result query operation triggered by a user is monitored.

The execution main body of the reading monitoring method provided by this embodiment is the second client, which is the client used by the person who needs to monitor the reading condition, such as the teacher or the parent, and the user here is the person who needs to monitor the reading condition, such as the teacher or the parent.

Specifically, the second client may provide an abnormal reading result viewing page to the teacher or the parent, 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 abnormal reading result query button may be clicked, and the user clicks the abnormal reading result query button, which is regarded as triggering the abnormal reading result query operation.

Step S502, responding to the abnormal reading result query operation, sending 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.

And after monitoring 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. Optionally, the abnormal reading result query request may carry information of an object to be queried, for example, class information of a certain class, information of a certain student, and the like.

And step S503, obtaining and displaying the abnormal reading result returned by the server.

And after the server generates an abnormal reading result, the abnormal reading result is returned to the second client, and the second client acquires the abnormal reading result returned by the server and displays the abnormal reading result to the user, so that the user can intuitively know which part of the abnormal reading occurs.

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

FIG. 6 shows a flow diagram of a reading monitoring method according to one 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.

Step S602, in response to the abnormal reading result query operation, sending an abnormal reading result query request to the server, so that the server queries and determines 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 e-book page information, and the abnormal reading type returned by the server.

When the server detects that the user has abnormal reading behaviors, the server can determine the abnormal reading type, such as fast page turning or no page turning, skip reading by clicking a progress bar, skip reading by dragging the progress bar, skip reading across chapters and the like. In addition, the method can also determine which page of which electronic book has abnormal reading behavior, generate an abnormal reading result containing the first client information, the electronic book page information and the abnormal reading type, and return the generated abnormal reading result to the second client.

The second client side obtains the abnormal reading result which is returned by the server side and contains the first client side information, the electronic book page information and the abnormal reading type, and the abnormal reading result is displayed to the user, so that the user can intuitively know which part of the student or the child is abnormal in reading, and the user can 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 tasks are: continuously reading for 21 days, completing reading of a certain electronic book, and keeping the reading time of not less than 30 minutes each day. The second client may provide the user with a reading plan view page, where the reading plan view page includes a reading plan query button, and when a teacher or a parent wants to know the completion of the reading plan of the student, the reading plan query button may be clicked, and the user clicks the reading plan query button, which is regarded as triggering the reading plan report query operation.

Step S605, in response to the reading plan report query operation, sending a reading plan report query request to the server, so that the server can determine a reading plan report according to the reading plan report query request.

And after monitoring the reading plan report query operation, the second client responds to the reading plan report query operation and sends a reading plan report query request to the server, so that the server can query and determine a reading plan report according to the reading plan report query request. Optionally, the abnormal reading result query request may carry information of an object to be queried, for example, class information of a certain class, information of a certain student, and the like.

And step S606, obtaining and displaying the reading plan report returned by the server.

And 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 summary requirements and screening requirements.

Step S607, the query operation of the total word reading sorting result triggered by the user is monitored.

Specifically, the second client may provide a user reading total word number sorting result viewing page to a teacher or a parent, where the user reading total word number sorting result viewing page includes a user reading total word number sorting result query button, and when the teacher or the parent wants to know the sorting condition of a plurality of students according to the user reading total word number, the user may click the user reading total word number sorting result query button, and the user clicks the user reading total word number sorting result query button, which is regarded as triggering the user reading total word number sorting result query operation.

Step S608, in response to the query operation of the total word reading result of the user, sending a query request of the total word reading result of the user to the server, so that the server queries and determines the total word reading result of the user according to the query request of the total word reading result of the user.

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

And step S609, acquiring and displaying a user reading total word number sequencing result returned by the server.

And after the server side inquires and obtains a corresponding user reading total word number sequencing result, the user reading total word number sequencing result is returned to the second client side, and the second client side obtains the user reading total word number sequencing result returned by the server side and displays the user reading total word number sequencing result to the user.

In an optional implementation manner of the present invention, the user may also check the result of sorting according to the total reading duration of the user, which is specifically implemented as follows: monitoring user reading total duration sequencing result query operation triggered by a user; sending a user reading total duration sorting result query request to the server in response to the user reading total duration sorting result query operation, so that the server can determine a user reading total duration sorting result according to the user reading total duration sorting result query request query; 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 is not described herein again.

In an optional implementation manner of the present invention, the user may also view the result of sorting according to the reading speed of the user, which is specifically implemented as follows: monitoring user reading speed sequencing result query operation triggered by a user; responding to the query operation of the user reading speed sorting result, sending a user reading speed sorting result query request to the server, so that the server can query and determine the user reading speed sorting result according to the user reading speed sorting result query request; and obtaining and displaying a reading speed sequencing result of the user returned by the server. The implementation process of the method is similar to steps S607-S609, and is not described herein again.

According to the scheme provided by the invention, the abnormal reading result is displayed to the user, so that the analysis of the reading behavior of the monitored person is provided for the user, the user can know which abnormal reading behavior occurs in the reading process of which monitored person, and the reading condition of the monitored person can be effectively monitored; in the case of normal reading, the reading condition of the monitored person is analyzed from multiple angles, for example, the ranking of reading conditions in class or the ranking of reading conditions in school can be performed with reference to an absolute value such as the total word number of the reading of the user, the total time length of the reading of the user, or a relative value such as the reading speed of the user, or the reading condition can be evaluated based on a reading plan report or the like.

The embodiment of the invention also provides a nonvolatile computer storage medium, wherein 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 specifically configured to cause the processor to: acquiring user reading behavior data which is acquired and reported by a first client to a pre-established buried point; performing data detection on the reading behavior data of the user to determine whether the user corresponding to the first client has abnormal reading behavior; and if the user corresponding to the first client side is determined to have abnormal reading behavior, generating an abnormal reading result.

In an alternative embodiment, the user reading behavior data comprises: determining page turning time corresponding to page turning operation based on page embedding points;

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

In an alternative embodiment, the user reading behavior data comprises: reading progress determined based on progress bar buried points;

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

In an alternative embodiment, the user reading behavior data comprises: chapter information corresponding to click operation determined based on the directory chapter burying points;

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

In an alternative embodiment, the user reading behavior data comprises: determining page turning interval duration and data mark types corresponding to page turning operation based on page embedded points;

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

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

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

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, counting and calculating the total word reading number and/or the total reading duration of the user within a preset time period according to the page turning time corresponding to the page turning operation; and sequencing the plurality of first clients according to the total word reading number and/or the total reading time of the user to generate a sequencing result.

In an alternative embodiment, the executable instructions further cause the processor to: if the fact that the abnormal reading behavior does not exist in the user corresponding to the first client is determined, counting and calculating reading task statistical data corresponding to the user reading plan based on the user reading behavior data; and calculating the completion proportion of the reading plan of the user according to the statistical data of each reading task and the task weight, judging whether the user completes the reading plan of the user according to the completion proportion of the reading plan of the user, and generating a reading plan report according to the judgment result.

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

In an alternative embodiment, the executable instructions further cause the processor to: and judging whether the ratio for completing the reading plan is greater than or equal to the preset ratio for completing the reading plan, and if not, determining that the user does not complete the reading plan of the user.

The executable instructions may be specifically configured to cause the processor to: monitoring the triggering operation of a user on a pre-established buried point; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server side so that the server side can perform data detection on the user reading behavior data to generate 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: page point burying:

the executable instructions further cause the processor to: and collecting page turning time according to page turning operation on page embedded points, and reporting the page turning time to the server.

In an alternative embodiment, the pre-created buried points comprise: embedding points in the progress bar:

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

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

the executable instructions further cause the processor to: and collecting chapter information according to clicking operation on the buried points of the directory chapters, and reporting the chapter information to the server.

the executable instructions further cause the processor to: the method comprises the steps of collecting page turning time according to page turning operation on page buried points, calculating page turning interval duration according to the page turning time corresponding to the last page turning operation, determining data mark types, and reporting the page turning interval duration and the data mark types to a server side.

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 information of the electronic book, the page information of the electronic book and the abnormal reading type.

The executable instructions may be specifically configured to cause the processor to: monitoring abnormal reading result query operation triggered by a user; responding to the abnormal reading result query operation, sending 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; 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 obtaining 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 reading plan report query operation triggered by a user; responding to the reading plan report query operation, sending a reading plan report query request to the server, so that the server can query and determine a reading plan report according to the reading plan report query 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 reading total word number sequencing result query operation triggered by a user; responding to the query operation of the total word reading sorting result of the user, sending a query request of the total word reading sorting result of the user to the server, so that the server can query and determine the total word reading sorting result of the user according to the query request of the total word reading sorting result of the user; acquiring and displaying a user reading total word number sequencing result returned by the server; and/or

Monitoring user reading total duration sequencing result query operation triggered by a user; sending a user reading total duration sorting result query request to the server in response to the user reading total duration sorting result query operation, so that the server can determine a user reading total duration sorting result according to the user reading total duration sorting result query request query; and acquiring and displaying a user reading total duration sequencing result returned by the server.

Fig. 7 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.

As shown in fig. 7, the computing device may include: a processor (processor)702, a Communications Interface 704, a memory 706, and a communication bus 708.

Wherein: the processor 702, communication interface 704, and memory 706 communicate 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 execute the relevant steps in the reading monitoring method embodiment described above.

In particular, the program 710 may include program code that includes computer operating instructions.

The processor 702 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

The memory 706 stores a program 710. The memory 706 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 710 may specifically be used to cause the processor 702 to perform the following operations: acquiring user reading behavior data which is acquired and reported by a first client to a pre-established buried point; performing data detection on the reading behavior data of the user to determine whether the user corresponding to the first client has abnormal reading behavior; and if the user corresponding to the first client side is determined to have abnormal reading behavior, generating an abnormal reading result.

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

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

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

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

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

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

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

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 the total word reading number and/or the total reading duration of the user within a preset time period according to the page turning time corresponding to the page turning operation; and sequencing the plurality of first clients according to the total word reading number and/or the total reading time of the user to generate a sequencing result.

In an alternative embodiment, the program 710 further causes the processor 702 to: if the fact that the abnormal reading behavior does not exist in the user corresponding to the first client is determined, counting and calculating reading task statistical data corresponding to the user reading plan based on the user reading behavior data; and calculating the completion proportion of the reading plan of the user according to the statistical data of each reading task and the task weight, judging whether the user completes the reading plan of the user according to the completion proportion of the reading plan of the user, 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 according to the statistical data of each reading task and the task weight, calculating the completion proportion of the reading plan of the user in a weighted manner.

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

Fig. 8 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.

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

Wherein: the processor 802, communication interface 804, and memory 806 communicate with one another 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 execute the relevant steps in the reading monitoring method embodiment described above.

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

The processor 802 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

The memory 806 stores a program 810. The memory 806 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 810 may be specifically configured to cause the processor 802 to perform the following operations: monitoring the triggering operation of a user on a pre-established buried point; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server side so that the server side can perform data detection on the user reading behavior data to generate an abnormal reading result; and acquiring and displaying an abnormal reading result returned by the server.

the program 810 further causes the processor 802 to perform the following operations: and collecting page turning time according to page turning operation on page embedded points, and reporting the page turning time to the server.

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

the program 810 further causes the processor 802 to perform the following operations: and collecting chapter information according to clicking operation on the buried points of the directory chapters, and reporting the chapter information to the server.

the program 810 further causes the processor 802 to perform the following operations: the method comprises the steps of collecting page turning time according to page turning operation on page buried points, calculating page turning interval duration according to the page turning time corresponding to the last page turning operation, determining data mark types, and reporting the page turning interval duration and the data mark types to a server side.

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

Fig. 9 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.

As shown in fig. 9, the computing device may include: a processor (processor)902, a communication Interface 904, a memory 906, and a communication bus 908.

Wherein: the processor 902, communication interface 904, and memory 906 communicate with one another 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 execute the relevant steps in the reading monitoring method embodiment described above.

In particular, the program 910 may include program code that includes computer operating instructions.

The processor 902 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.

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

The program 910 may specifically be configured to cause the processor 902 to perform the following operations: monitoring abnormal reading result query operation triggered by a user; responding to the abnormal reading result query operation, sending 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; 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 obtaining 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 reading plan report query operation triggered by a user; responding to the reading plan report query operation, sending a reading plan report query request to the server, so that the server can query and determine a reading plan report according to the reading plan report query 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 reading total word number sequencing result query operation triggered by a user; responding to the query operation of the total word reading sorting result of the user, sending a query request of the total word reading sorting result of the user to the server, so that the server can query and determine the total word reading sorting result of the user according to the query request of the total word reading sorting result of the user; acquiring and displaying a user reading total word number sequencing 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 constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

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

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

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

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

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

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

The invention discloses: A1. a reading monitoring method, comprising:

acquiring user reading behavior data which is acquired and reported by a first client to a pre-established buried point; performing data detection on the user reading behavior data to determine whether the user corresponding to the first client has abnormal reading behavior; and if the user corresponding to the first client side is determined to have abnormal reading behavior, generating an abnormal reading result.

A2. The method of a1, wherein the user reading behavior data includes: determining page turning time corresponding to page turning operation based on page embedding points;

the data detection of the user reading behavior data to determine whether the user corresponding to the first client has an abnormal reading behavior further includes: determining page turning interval duration according to the page turning time corresponding to the current page turning operation and the page turning time corresponding to the last page turning operation; calculating the reading speed of a user according to the number of characters on the page of the electronic book and the page turning interval duration; and judging whether the reading speed of the user is within a preset reading speed range, and if not, determining that the user corresponding to the first client has abnormal reading behaviors.

A3. The method of a1 or a2, wherein the user reading behavior data comprises: reading progress determined based on progress bar buried points;

the data detection of the user reading behavior data to determine whether the user corresponding to the first client has an abnormal reading behavior further includes: and judging whether the page attribute of the e-book page corresponding to the reading progress is read or not, and if not, determining that the user corresponding to the first client has abnormal reading behavior.

A4. The method of a1 or a2 or A3, wherein the user reading behavior data comprises: chapter information corresponding to click operation determined based on the directory chapter burying points;

the data detection of the user reading behavior data to determine whether the user corresponding to the first client has an abnormal reading behavior further includes: judging whether the chapter information corresponding to the click operation is continuous with the chapter information corresponding to the last click operation, and if not, determining that the user corresponding to the first client has abnormal reading behaviors.

A5. The method of a1 or A3 or a4, wherein the user reading behavior data comprises: determining page turning interval duration and data mark types corresponding to page turning operation based on page embedded points;

the data detection of the user reading behavior data to determine whether the user corresponding to the first client has an abnormal reading behavior further includes: if the data mark type is a preset type, calculating the reading speed of a user according to the number of characters on the page of the electronic book and the page turning interval duration; and judging whether the reading speed of the user is within a preset reading speed range, and if not, determining that the user corresponding to the first client has abnormal reading behaviors.

A6. The method of any one of a2-a5, wherein the generating abnormal reading results further comprises: determining the e-book information and e-book page information with abnormal reading behaviors according to the reading behavior data of the user aiming at the first client with the monitored attribute; generating an abnormal reading result containing the information of the electronic book, the page information of the electronic book and the abnormal reading type;

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

A7. The method of any one of a2-a5, wherein the generating abnormal reading results further comprises: determining the e-book information and e-book page information with abnormal reading behaviors according to the reading behavior data of the user aiming at the second client with the monitoring attribute; generating an abnormal reading result comprising first client information, electronic book page information and an abnormal reading type;

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

A8. The method of any of a1-a5, wherein the user reading behavior data comprises: determining page turning time corresponding to page turning operation based on page embedding points;

the method further comprises the following steps: if the fact that the user corresponding to the first client does not have abnormal reading behaviors is determined, counting and calculating the total word reading number and/or the total reading duration of the user within a preset time period according to the page turning time corresponding to the page turning operation; and sequencing the plurality of first clients according to the total word reading number and/or the total reading time of the user to generate a sequencing result.

A9. The method of any one of a1-a5, wherein the method further comprises: if the fact that the abnormal reading behavior does not exist in the user corresponding to the first client side is determined, counting and calculating reading task statistical data corresponding to a user reading plan based on the user reading behavior data; and calculating the completion proportion of the reading plan of the user according to the statistical data of each reading task and the task weight, judging whether the user completes the reading plan of the user according to the completion proportion of the reading plan of the user, and generating a reading plan report according to the judgment result.

A10. The method of a9, wherein the calculating a user reading plan completion ratio based on the reading task statistics and the task weights further comprises: and according to the statistical data of each reading task and the task weight, calculating the completion proportion of the reading plan of the user in a weighted manner.

A11. The method of A9 or A10, wherein the determining whether the user completed the user reading plan according to the user reading plan completion ratio further comprises: and judging whether the ratio for completing the reading plan is greater than or equal to the preset ratio for completing the reading plan, and if not, determining that the user does not complete the reading plan of the user.

B12. A reading monitoring method, comprising:

monitoring the triggering operation of a user on a pre-established buried point; collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server side, so that the server side can perform data detection on the user reading behavior data to generate an abnormal reading result; and acquiring and displaying an abnormal reading result returned by the server.

B13. The method of B12, wherein the pre-created buried point comprises: page point burying:

the collecting the user reading behavior data according to the triggering operation and reporting the user reading behavior data to the server further comprises: and collecting page turning time according to page turning operation on page embedded points, and reporting the page turning time to a server.

B14. The method of B12 or B13, wherein the pre-created buried point includes: embedding points in the progress bar:

the collecting the user reading behavior data according to the triggering operation and reporting the user reading behavior data to the server further comprises: and acquiring a reading progress according to the clicking operation or the dragging operation of the progress bar buried point, and reporting the reading progress to a server.

B15. The method of B12 or B13 or B14, wherein the pre-created buried point comprises: catalog chapter burying:

the collecting the user reading behavior data according to the triggering operation and reporting the user reading behavior data to the server further comprises: and collecting chapter information according to clicking operation on the buried points of the directory chapters, and reporting the chapter information to a server.

B16. The method of B12 or B14 or B15, wherein the pre-created buried point comprises: page point burying:

the collecting the user reading behavior data according to the triggering operation and reporting the user reading behavior data to the server further comprises: the method comprises the steps of collecting page turning time according to page turning operation on page buried points, calculating page turning interval duration according to the page turning time corresponding to the last page turning operation, determining data mark types, and reporting the page turning interval duration and the data mark types to a server side.

B17. The method according to any one of B12-B16, wherein the obtaining and displaying abnormal reading results returned by the server further comprises: and acquiring and displaying an abnormal reading result which is returned by the server and contains the information of the electronic book, the page information of the electronic book and the abnormal reading type.

C18. A reading monitoring method, comprising:

C19. The method according to C18, wherein the obtaining and displaying the abnormal reading result returned by the server further comprises: and obtaining 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.

C20. The method of C18 or C19, wherein the method further comprises: monitoring reading plan report query operation triggered by a user; responding to a reading plan report query operation, sending a reading plan report query request to a server, so that the server can query and determine a reading plan report according to the reading plan report query request; and acquiring and displaying a reading plan report returned by the server.

C21. The method of C18 or C19 or C20, wherein the method further comprises: monitoring user reading total word number sequencing result query operation triggered by a user; responding to the query operation of the total word reading sorting result of the user, and sending a query request of the total word reading sorting result of the user to the server, so that the server can query and determine the total word reading sorting result of the user according to the query request of the total word reading sorting result of the user; acquiring and displaying a user reading total word number sequencing result returned by the server; and/or

Monitoring user reading total duration sequencing result query operation triggered by a user; sending a user reading total duration sorting result query request to the server in response to a user reading total duration sorting result query operation, so that the server can query and determine a user reading total duration sorting result according to the user reading total duration sorting result query request; and acquiring and displaying a user reading total duration sequencing result returned by the server.

D22. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

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

D23. The computing device of D22, wherein the user reading behavior data includes: determining page turning time corresponding to page turning operation based on page embedding points;

D24. The computing device of D22 or D23, wherein the user reading behavior data comprises: reading progress determined based on progress bar buried points;

D25. The computing device of D22, or D23, or D24, wherein the user reading behavior data comprises: chapter information corresponding to click operation determined based on the directory chapter burying points;

D26. The computing device of D22, or D24, or D25, wherein the user reading behavior data comprises: determining page turning interval duration and data mark types corresponding to page turning operation based on page embedded points;

D27. The computing device of any one of D23-D26, wherein the executable instructions further cause the processor to:

determining the e-book information and e-book page information with abnormal reading behaviors according to the reading behavior data of the user aiming at the first client with the monitored attribute; generating an abnormal reading result containing the information of the electronic book, the page information of the electronic book and the abnormal reading type; and sending the abnormal reading result to the first client for displaying.

D28. The computing device of any one of D23-D26, wherein the executable instructions further cause the processor to: determining the e-book information and e-book page information with abnormal reading behaviors according to the reading behavior data of the user aiming at the second client with the monitoring attribute; generating an abnormal reading result comprising first client information, electronic book page information and an abnormal reading type; and sending the abnormal reading result to the second client for displaying.

D29. The computing device of any one of D23-D26, wherein the user reading behavior data comprises: determining page turning time corresponding to page turning operation based on page embedding points;

D30. The computing device of any one of D23-D26, wherein the executable instructions further cause the processor to: if the fact that the abnormal reading behavior does not exist in the user corresponding to the first client side is determined, counting and calculating reading task statistical data corresponding to a user reading plan based on the user reading behavior data; and calculating the completion proportion of the reading plan of the user according to the statistical data of each reading task and the task weight, judging whether the user completes the reading plan of the user according to the completion proportion of the reading plan of the user, and generating a reading plan report according to the judgment result.

D31. The computing device of D30, wherein the executable instructions further cause the processor to: and according to the statistical data of each reading task and the task weight, calculating the completion proportion of the reading plan of the user in a weighted manner.

D32. The computing device of D30 or D31, wherein the executable instructions further cause the processor to: and judging whether the ratio for completing the reading plan is greater than or equal to the preset ratio for completing the reading plan, and if not, determining that the user does not complete the reading plan of the user.

E33. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

E34. The computing device of E33, wherein the pre-created buried point includes: page point burying:

the executable instructions further cause the processor to: and collecting page turning time according to page turning operation on page embedded points, and reporting the page turning time to a server.

E35. The computing device of E33 or E34, wherein the pre-created buried point includes: embedding points in the progress bar:

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

E36. The computing device of any one of E33-E35, wherein the pre-created buried point includes: catalog chapter burying:

the executable instructions further cause the processor to: and collecting chapter information according to clicking operation on the buried points of the directory chapters, and reporting the chapter information to a server.

E37. The computing device of E33 or E35 or E36, wherein the pre-created buried point includes: page point burying:

E38. The computing device of any one of E33-E37, 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 information of the electronic book, the page information of the electronic book and the abnormal reading type.

F39. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

F40. The computing device of F39, wherein the executable instructions further cause the processor to: and obtaining 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.

F41. The computing device of F39 or F40, wherein the executable instructions further cause the processor to: monitoring reading plan report query operation triggered by a user; responding to a reading plan report query operation, sending a reading plan report query request to a server, so that the server can query and determine a reading plan report according to the reading plan report query request; and acquiring and displaying a reading plan report returned by the server.

F42. The computing device of F39 or F40 or F41, wherein the executable instructions further cause the processor to: monitoring user reading total word number sequencing result query operation triggered by a user; responding to the query operation of the total word reading sorting result of the user, and sending a query request of the total word reading sorting result of the user to the server, so that the server can query and determine the total word reading sorting result of the user according to the query request of the total word reading sorting result of the user; acquiring and displaying a user reading total word number sequencing result returned by the server; and/or

G43. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

G44. The computer storage medium of G43, wherein the user reading behavior data comprises: determining page turning time corresponding to page turning operation based on page embedding points;

G45. The computer storage medium of G43 or G44, wherein the user reading behavior data comprises: reading progress determined based on progress bar buried points;

G46. The computer storage medium of G43 or G44 or G45, wherein the user reading behavior data comprises: chapter information corresponding to click operation determined based on the directory chapter burying points;

G47. The computer storage medium of G43 or G44 or G46, wherein the user reading behavior data comprises: determining page turning interval duration and data mark types corresponding to page turning operation based on page embedded points;

G48. The computer storage medium of any one of G44-G47, wherein the executable instructions further cause the processor to:

G49. The computer storage medium of any one of G44-G47, wherein the executable instructions further cause the processor to:

G50. The computer storage medium of any one of G43-G47, wherein the user reading behavior data comprises: determining page turning time corresponding to page turning operation based on page embedding points;

G51. The computer storage medium of any one of G43-G47, wherein the executable instructions further cause the processor to:

if the fact that the abnormal reading behavior does not exist in the user corresponding to the first client side is determined, counting and calculating reading task statistical data corresponding to a user reading plan based on the user reading behavior data; and calculating the completion proportion of the reading plan of the user according to the statistical data of each reading task and the task weight, judging whether the user completes the reading plan of the user according to the completion proportion of the reading plan of the user, and generating a reading plan report according to the judgment result.

G52. The computer storage medium of G51, wherein the executable instructions further cause the processor to: and according to the statistical data of each reading task and the task weight, calculating the completion proportion of the reading plan of the user in a weighted manner.

G53. The computer storage medium of G51 or G52, wherein the executable instructions further cause the processor to: and judging whether the ratio for completing the reading plan is greater than or equal to the preset ratio for completing the reading plan, and if not, determining that the user does not complete the reading plan of the user.

H54. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

H55. The computer storage medium of H54, wherein the pre-created buried point comprises: page point burying:

H56. The computer storage medium of H54 or H55, wherein the pre-created buried point comprises: embedding points in the progress bar:

H57. The computer storage medium of H54 or H55 or H56, wherein the pre-created buried point comprises: catalog chapter burying:

H58. The computer storage medium of H54 or H56 or H57, wherein the pre-created buried point comprises: page point burying:

H59. The computer storage medium of any one of H54-H58, 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 information of the electronic book, the page information of the electronic book and the abnormal reading type.

I60. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

I61. The computer storage medium of I60, wherein the executable instructions further cause the processor to: and obtaining 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.

I62. The computer storage medium of I60 or I61, wherein the executable instructions further cause the processor to: monitoring reading plan report query operation triggered by a user; responding to a reading plan report query operation, sending a reading plan report query request to a server, so that the server can query and determine a reading plan report according to the reading plan report query request; and acquiring and displaying a reading plan report returned by the server.

I63. The computer storage medium of I60 or I61 or I62, wherein the executable instructions further cause the processor to: monitoring user reading total word number sequencing result query operation triggered by a user; responding to the query operation of the total word reading sorting result of the user, and sending a query request of the total word reading sorting result of the user to the server, so that the server can query and determine the total word reading sorting result of the user according to the query request of the total word reading sorting result of the user; acquiring and displaying a user reading total word number sequencing result returned by the server; and/or

Claims

1. A reading monitoring method, comprising:

acquiring user reading behavior data which is acquired and reported by a first client to a pre-established buried point;

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

and if the user corresponding to the first client side is determined to have abnormal reading behavior, generating an abnormal reading result.

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

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

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

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

and judging whether the reading speed of the user is within a preset reading speed range, and if not, determining that the user corresponding to the first client has abnormal reading behaviors.

3. A reading monitoring method, comprising:

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

collecting user reading behavior data according to the triggering operation, reporting the user reading behavior data to a server side, so that the server side can perform data detection on the user reading behavior data to generate an abnormal reading result;

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

4. A reading monitoring method, comprising:

monitoring abnormal reading result query operation triggered by a user;

responding to the abnormal reading result query operation, sending 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;

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

5. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

6. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

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

7. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;

monitoring abnormal reading result query operation triggered by a user;

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

8. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

9. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

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

10. A computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to:

monitoring abnormal reading result query operation triggered by a user;

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