CN117112378A

CN117112378A - Page stay time statistical method, device, computer equipment and storage medium

Info

Publication number: CN117112378A
Application number: CN202310980672.2A
Authority: CN
Inventors: 卢国安; 范雄健; 程明远; 胡江; 陈大平
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2023-08-04
Filing date: 2023-08-04
Publication date: 2023-11-24

Abstract

The application relates to a page stay time counting method, a page stay time counting device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a current login state, a previous login state and a corresponding timestamp of a user identifier in a target webpage; calculating a first difference value between a timestamp corresponding to the current login state and a timestamp corresponding to the previous login state of the target webpage; if the first difference value is smaller than the minimum interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page; if the first difference value is larger than the minimum interval duration of continuous login and smaller than or equal to the longest interval duration of continuous login, the stay duration of the target page is equal to the sum of the stay duration of the historical page and the first difference value; and if the first difference value is greater than the continuous login longest interval duration, the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration. By adopting the method, the efficiency of page stay time statistics can be improved.

Description

Page stay time statistical method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of big data technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for page stay time statistics.

Background

With the development of big data technology, a statistical technology for the residence time of pages appears, and the residence time of pages is a very common index in website analysis and is used for reflecting the residence time of users on certain pages.

In the conventional technology, the current method for counting the residence time of the page adopts the method that the residence time of the page is counted by burying points in a client, and the client sends the residence time information of the page of a user to a server at intervals.

However, in the existing page stay time statistics method, both the client and the server need to be developed, if the previous web page needs to be newly added and recorded, the embedded point function of the client web page needs to be newly added and developed, and the client program development is complicated and has long periodicity, which can affect the page stay time statistics efficiency.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, a computer readable storage medium, and a computer program product for page stay length that can improve the efficiency of page stay length statistics.

In a first aspect, the application provides a page stay time counting method. The method comprises the following steps:

acquiring a current state of a user identifier in a target webpage as a login state and a corresponding time stamp, and acquiring the previous state as the login state and the corresponding time stamp;

calculating a first difference value between a timestamp corresponding to the current state of the target webpage being the login state and a timestamp corresponding to the previous state of the user identification of the target webpage being the login state;

if the first difference value is smaller than the minimum interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page;

if the first difference value is greater than the minimum interval duration of continuous login and less than or equal to the maximum interval duration of continuous login, the target page stay time is equal to the historical page stay time plus the first difference value; wherein the continuous login minimum interval duration is less than the continuous login maximum interval duration;

and if the first difference value is larger than the continuous login longest interval duration, the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration.

In one embodiment, the page stay time counting method further includes:

calculating a second difference value between a timestamp corresponding to the current state of the target webpage being the login state and a timestamp corresponding to the previous state of the user identification of the target webpage being the login state;

if the second difference value is smaller than or equal to the preset time length from one login to one logout, the target page stay time length is equal to the historical page stay time length plus the second difference value minus the continuous login minimum interval time length;

and if the second difference value is larger than the preset time length from one login to one login, the target page stay time is equal to the historical page stay time plus the preset time length from one login to one login.

In one embodiment, the page stay time counting method further includes:

and inquiring the previous state of the user identification in the target webpage and the corresponding timestamp from an event log.

In one embodiment, the page stay time counting method further includes:

and under the condition that the current state of the user identifier in the target webpage is the first login state or the logged-out state, the stay time of the target webpage is equal to the stay time of the historical webpage plus the continuous login minimum interval time.

In one embodiment, the method for obtaining the user identifier when the current state of the target web page is the first-time logged-in state or the logged-out state includes:

querying a previous state of the user identifier in the target webpage from an event log;

if the previous state of the user identifier in the target webpage is not queried in the event log, the current state of the user identifier in the target webpage is considered to be a first login state;

and if the previous state of the user identifier in the target webpage is queried from the event log, and the previous state is a logged-out state, the current state of the user identifier in the target webpage is considered to be the logged-out state.

In one embodiment, the page stay time counting method further includes:

and when the user identifier is acquired that the current state of the target webpage is the log-out state and the previous state is the log-out state, the stay time of the target webpage is equal to the stay time of the historical webpage.

In a second aspect, the application further provides a page stay time counting device. The device comprises:

the first acquisition module is used for acquiring the current state of the user identifier in the target webpage as a login state and a corresponding time stamp, and the previous state as the login state and the corresponding time stamp;

The first calculation module is used for calculating a first difference value between a timestamp corresponding to the current state of the target webpage being the login state and a timestamp corresponding to the previous state of the target webpage being the login state;

the first judging module is used for judging whether the first difference value is smaller than the minimum interval duration of continuous login or not, and if so, the stay duration of the target page is equal to the stay duration of the historical page;

the second judging module is used for adding the first difference value to the stay time of the target page if the first difference value is larger than the minimum interval time of continuous login and smaller than or equal to the longest interval time of continuous login; wherein the continuous login minimum interval duration is less than the continuous login maximum interval duration;

and the third judging module is used for judging whether the first difference value is larger than the continuous login longest interval duration or not, and if so, the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:

The page stay time statistical method, the device, the computer equipment, the storage medium and the computer program product are characterized in that the current state of the user identifier in the target webpage is a login state and a corresponding time stamp, and the previous state is the login state and the corresponding time stamp; calculating a first difference value between a timestamp corresponding to the current state of the target webpage being the login state and a timestamp corresponding to the previous state of the user identification of the target webpage being the login state; if the first difference value is smaller than the minimum interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page; if the first difference value is greater than the minimum interval duration of continuous login and less than or equal to the maximum interval duration of continuous login, the target page stay time is equal to the historical page stay time plus the first difference value; wherein the continuous login minimum interval duration is less than the continuous login maximum interval duration; and if the first difference value is larger than the continuous login longest interval duration, the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration. The method comprises the steps of comparing a difference value calculated by timestamp information corresponding to a current login state and a previous login state of a user in a webpage with a preset continuous login minimum interval duration and a preset continuous login minimum interval duration, selecting a calculation rule of a target webpage stay duration, calculating, and not needing to develop a client, so that the efficiency of webpage stay duration statistics is improved.

Drawings

FIG. 1 is an application environment diagram of a page stay length statistics method in one embodiment;

FIG. 2 is a flow chart of a method for counting page stay time in one embodiment;

FIG. 3 is a flowchart of a method for counting page stay time according to another embodiment;

FIG. 4 is a flowchart of acquiring a user identifier in an embodiment when a current state of a target web page is a first-time logged-in state or a logged-out state;

FIG. 5 is a block diagram of a page dwell time statistics apparatus in one embodiment;

fig. 6 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

The page stay time statistical method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 obtains the current state of the user identifier in the target webpage as a login state and a corresponding time stamp, and the previous state as the login state and the corresponding time stamp; calculating a first difference value between a timestamp corresponding to the current state of the target webpage being the login state and a timestamp corresponding to the previous state of the target webpage being the login state; if the first difference value is smaller than the minimum interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page; if the first difference value is larger than the minimum interval duration of continuous login and smaller than or equal to the longest interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page plus the first difference value; wherein the minimum interval duration of continuous login is smaller than the longest interval duration of continuous login; and if the first difference value is greater than the continuous login longest interval duration, the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

Step S202, obtaining the current state of the user identifier in the target webpage as the login state and the corresponding time stamp, and obtaining the previous state as the login state and the corresponding time stamp.

The user identification is an identifier defined by the user according to the needs, is generally used for naming variables, functions, arrays and the like, and is used for distinguishing the user from single-point positioning. State refers to the description of each object using a set of feature data that varies over time. The current state refers to a state in which the feature data of the current time point reflects the object of the current time point.

Optionally, when the user operates the client page, the client page may acquire user information and page information, for example, application programs such as a user card-punching WeChat and a microblog, or information that the user enters a certain webpage. The user information may include a user ID or a device ID. The client sends the acquired user information and the target page information to the server, the server filters the acquired information, when filtering operation is executed, the information which is not needed at present can be stored in the database, when certain information is needed, the client calls the database, and also the filtering operation can be executed. And after the filtering operation is executed, the user identification information, the state of the user identification on the webpage and other information are reserved. The server finally obtains the retention information after the filtering processing, namely the server obtains the current state of the user identifier in the target webpage. The processor acquires the previous state and the current state of the user A on the target page A, namely a login state-a login state, and time stamps corresponding to the two states, and the user is continuously logged in the target page at the moment.

The processor compares the first difference value with the continuous login minimum interval duration and the continuous login maximum interval duration, and determines the magnitude relation between the first difference value and the continuous login minimum interval duration and the continuous login maximum interval duration. If the continuous login minimum interval duration is set to 10 seconds, the continuous login maximum interval duration is set to 3 minutes, and the continuous login minimum interval duration is smaller than the continuous login maximum interval duration.

In step S204, a first difference between a timestamp corresponding to the current state of the target web page being the login state and a timestamp corresponding to the previous state of the target web page being the login state is calculated.

Where a timestamp is a sequence of characters or coded information that identifies when a particular event occurred, typically giving a date and time, sometimes to the nearest fraction of a second.

In the above embodiment, the processor obtains the current login state of the user a on the web page a and the corresponding timestamp 9:00:00, and the previous login state of the user a on the web page a and the corresponding timestamp 9:00:05; the first difference is 5 seconds.

Step S206, if the first difference value is smaller than the minimum interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the history page; if the first difference value is larger than the minimum interval duration of continuous login and smaller than or equal to the longest interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page plus the first difference value; wherein the minimum interval duration of continuous login is smaller than the longest interval duration of continuous login; and if the first difference value is greater than the continuous login longest interval duration, the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration.

Where the duration of the interval refers to the time difference between two time stamps, typically in seconds, minutes, hours, days, etc., the time stamp is a sequence of characters or coded information that identifies when a particular event occurred, typically giving a date and time, which can be as accurate as a fraction of a second. The processor acquires that the current state of the user is a login state, and the previous state is the login state, and the user is considered to be continuously logged in. The continuous login interval time refers to a time difference between time stamps corresponding to at least two login states of a user obtained by the processor in a preset period of time. The continuous login minimum interval duration selects a minimum interval time from the continuous login interval time set as the continuous login minimum interval duration. The continuous login longest interval duration can be selected from the continuous login interval time set as the continuous login longest interval duration by taking milliseconds, seconds, minutes, hours, days and the like as units. Wherein, the duration of the continuous login minimum interval is smaller than the duration of the continuous login maximum interval. The historical page stay time is a self-growing sequence, which refers to the accumulation of the user stay time on the page.

Optionally, in the above embodiment, the timestamp corresponding to the previous login state of the target page a by the processor user a is 9:00:00, and the current login state is 9:00:05. The first difference is 5 seconds, the continuous login interval time is assumed to be 10 seconds, the first difference is smaller than or equal to the continuous login interval time, namely, the time difference of the continuous login of the user on the target webpage is smaller than the minimum continuous login interval time, at the moment, the non-time interval can be ignored, the value of the target webpage stay time does not need to be accumulated, and the target webpage stay time is equal to the value of the historical webpage stay time which is already accumulated.

Optionally, still with the foregoing embodiment, the timestamp corresponding to the previous login state of the user a on the target page a is 9:00:00, and the current login state is 9:02:00. The first difference value is 2 minutes, the continuous login interval time is 10 seconds, the continuous login longest interval time is 3 minutes, at the moment, the first difference value is larger than the continuous login minimum interval time for 10 seconds and smaller than the continuous login longest interval time for 3 minutes, and at the moment, the target webpage stay time is equal to the historical webpage stay time plus the first difference value. The first difference value is the actual stay time of the user on the target webpage, the range of the first difference value is between the preset continuous login shortest interval time and the continuous login longest interval time, and the stay time of the target webpage is equal to the stay time of the historical webpage plus the first difference value.

Optionally, still with the foregoing embodiment, the timestamp corresponding to the previous login state of the user a on the target page a is 9:00:00, and the current login state is 9:05:00. The first difference value is 5 minutes, the continuous login longest interval duration is 3 minutes, at this time, the first difference value is 5 minutes and is larger than the continuous login minimum interval duration for 3 minutes, the target page stay duration is the historical page stay duration plus the default endowment duration, and the default endowment duration is the continuous login minimum interval duration; when the first difference value is greater than the longest continuous login interval duration, the user can be regarded as the logged-out state of the target webpage.

In the page stay time statistical method, the current state of the user identifier in the target webpage is a login state and a corresponding time stamp, and the previous state is the login state and the corresponding time stamp; calculating a first difference value between a timestamp corresponding to the current state of the target webpage being the login state and a timestamp corresponding to the previous state of the target webpage being the login state; if the first difference value is smaller than the minimum interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page; if the first difference value is larger than the minimum interval duration of continuous login and smaller than or equal to the longest interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page plus the first difference value; wherein the minimum interval duration of continuous login is smaller than the longest interval duration of continuous login; and if the first difference value is greater than the continuous login longest interval duration, the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration. The method comprises the steps of obtaining the current login state and the previous login state of a user in a webpage, and comparing the current login state and the previous login state with the preset minimum interval duration of continuous login and the preset longest interval duration of continuous login; therefore, the calculation mode of the stay time of the target page is determined, and the stay time of the target page is calculated according to the calculation mode, so that development of a client is not needed, and the efficiency of page stay time statistics is improved.

In one embodiment, as shown in fig. 3, the page stay time counting method further includes:

step S302, obtaining the current state of the user identifier in the target webpage as the login state and the corresponding time stamp, and obtaining the previous state as the login state and the corresponding time stamp.

Optionally, the processor obtains a previous login state and a current login state of the user a on the target page a, that is, a login state-a login state, and time stamps corresponding to the two states, such as 9:00 login and 9:20 login, where the user a logs in and then logs out in the web page a, that is, a real login and login time length of the user.

Optionally, the processor compares the second difference value for 20 minutes with a preset time length from one login to one logout, for example, the preset time length from one login to one logout is set to be 15 minutes, and determines a magnitude relation between the second difference value and the preset time length from one login to one logout. The second difference value is 20 minutes and is longer than the preset time length of 15 minutes from one login to one logout. The actual time length of a complete period from the login to the logout of the target page is longer than the preset time length.

Step S304, a second difference value between the timestamp corresponding to the user identifier in the current state of the target webpage being the login state and the timestamp corresponding to the user identifier in the previous state of the target webpage being the login state is calculated.

Optionally, with the above embodiment, the second difference is calculated for 20 minutes by using the obtained timestamp corresponding to the current state of the user identifier in the target web page being the log-out state and the timestamp corresponding to the previous state of the user identifier in the target web page being the log-in state.

Step S306, if the second difference value is smaller than or equal to the preset time length from one login to one logout, the stay time length of the target page is equal to the stay time length of the historical page plus the second difference value minus the continuous login minimum interval time length; if the second difference value is larger than the preset time length from one login to one logout, the target page stay time is equal to the historical page stay time plus the preset time length from one login to one logout.

The preset time length from one login to one logout is a preset time length of a complete period from one login to one logout of the target page, and the unit can be milliseconds, seconds, minutes, hours, days and the like.

Alternatively, with the above embodiment, it is assumed that the preset time period from one login to one logout is 15 minutes. At this time, the second difference value is 20 minutes greater than a preset time length from one login to one logout for 15 minutes, that is, the actual time length of the user in a complete period from the login to logout of the target page is greater than the preset time length, and the stay time length of the target page is equal to the stay time length of the historical page plus the preset time length.

In practical application, a user logs in a webpage, and if the user does not operate for a certain period of time, the user is considered to stay on the webpage for the period of time. The preset time length is considered to be the user stay time length of the time, and the page stay time length at the moment is the historical page stay time length plus the preset time length.

Optionally, in one embodiment, the second difference is 10 minutes, that is, the second difference is 10 minutes or less and equal to the third duration is 15 minutes, that is, the actual duration of a complete cycle from the login to the logout of the target page for the user is less than or equal to the preset duration, and then the target page stay duration should be the historical page stay duration plus the second difference minus the duration of the minimum interval of continuous login.

In practical application, the user logs in the page and performs other operations until the user logs out, at this time, the target page stay time=the historical page stay time+ (the second difference value-the minimum interval duration of continuous login), and since the default endowed time, that is, the minimum interval duration of continuous login, has been calculated once when the user logs in the historical page stay time, the minimum interval duration of continuous login needs to be subtracted.

In this embodiment, the corresponding calculation rule is selected to calculate the target page stay time according to the comparison result of the second difference value and the preset time length from one login to one logout.

In one embodiment, the page stay time counting method further comprises:

The event log records important software and hardware events, and records user login, login or other relevant operations and corresponding timestamp information.

Optionally, after the processor obtains the current state of the target web page, the processor queries the event log for related records of the user identifier in the previous state of the target web page and timestamp information corresponding to the previous state.

In this embodiment, the user identifier is queried in the event log to provide a judgment basis for calculating the stay time of the subsequent page in the previous state of the target web page and the timestamp information corresponding to the previous state.

In one embodiment, the page stay time counting method further comprises:

The first log-in state refers to entering a website or a computer system for the first time. For example, when the user a logs in the web page a first time at 9:00, the user a only has a log-in state, and the state of at least two time nodes needs to be acquired for calculating the stay time of the target page, so that the processor can default to a time length for the first log-in state. The user logged-out state refers to that the user logs out of a website or a computer system, and only the user logs out of the state at the moment, the state of two time nodes cannot be obtained, so that when the stay time of the target page is calculated, the processor gives a time length for the first logged-in state by default, and the time length unit can be milliseconds, seconds, minutes and hours. The default endowed duration is defined as the minimum interval duration of continuous login according to historical data. A time interval refers to the time difference between two time stamps, typically in seconds, minutes, hours, days, etc., a time stamp is a sequence of characters or coded information that identifies when a particular event occurred, typically giving a date and time, which can be as accurate as a fraction of a second. The historical page dwell time of the first log-in state of the user is 0 seconds. The continuous login time interval refers to a time difference between time stamps corresponding to at least two login states of the user detected by the processor in a preset period of time. The continuous login minimum interval duration selects a minimum interval time from the continuous login interval time set as the continuous login minimum interval duration. The target page dwell time is formed by updating the historical page dwell time, i.e., a self-growing sequence based on the historical page dwell time.

Optionally, the processor determines whether the current state of the user identifier in the target webpage is any one of a first login state and a logged-out state, and if so, the target webpage stay time is a historical webpage stay time plus a continuous login minimum interval time.

Optionally, the processor judges that the current state of the user identifier in the target webpage is a first login state, and the residence time of the historical webpage in the first login state of the user is 0 seconds; the duration of the continuous login minimum interval may be 5 seconds, 10 seconds, and other times, without limitation. The target page stay time is the historical page stay time plus the continuous login minimum interval time, namely 0+ continuous login minimum interval time.

Optionally, the processor determines that the current state of the user identifier in the target web page is the logged-out state, and at this time, the target web page stay time is the historical web page stay time plus the continuous login minimum interval time, if the historical stay time is 600 seconds, and the continuous login minimum interval time is 10 seconds, the target web page stay time is 600 seconds+10 seconds.

In this embodiment, by determining that the current state of the user identifier in the target webpage is the first logged-in or logged-out state, a corresponding calculation rule is selected to calculate the stay time of the target webpage.

In one embodiment, as shown in fig. 4, the method for obtaining the user identifier in the first log-in state or the logged-out state of the current state of the target webpage includes:

step S402, inquiring the previous state of the user identification in the target webpage from the event log.

Optionally, the processor queries the event log for a previous state of the user on the target web page.

Step S404, if the previous state of the user identifier in the target web page is not queried from the event log, the current state of the user identifier in the target web page is considered to be the first login state.

Optionally, if the processor does not query the event log for a record that the user identification was in a previous state of the target web page, then the processor considers the current state of the user in the target web page to be the first-sign-in state.

In practical application, until the time of counting the stay time of the target page, the user does not perform the operation of normally exiting the page after logging in the page for the first time, and the log of the event cannot be queried for the record of the user logging out the page, so that the first logging-in state can be considered as an abnormal state.

Step S406, if it is queried from the event log that the previous state of the user identifier in the target web page exists and the previous state is the logged-out state, the current state of the user identifier in the target web page is considered to be the logged-out state.

Optionally, the processor queries from the event log that there is a record of the previous state of the user identifier in the target web page, then the processor reads the content of the queried record, if the previous state is the log-out state, and when the user does not log-in operation, the processor considers that the current state of the user in the target web page continues to maintain the log-out state until the current time when the log-in operation record of the user covers the log-out state record.

Alternatively, if the processor queries from the event log that there is a record of the previous state of the user identification at the target web page, the processor may then read the contents of the queried record, and if the previous state is the log-in state, the processor performs other processing.

In practical application, until the current time of counting the stay time of the target page, when the user still does not execute the login page operation at the current time to cover the exited state, the current state of the user still maintains the closest logged-out state at the previous time. And if the current time of the target statistical page stay time is reached, the user executes the login page operation, and the current state is the login state.

In this embodiment, the current state is determined to be the first-time logged-in or logged-out state by querying the information of the previous state of the user identifier in the target webpage, so that a suitable calculation mode of the page stay time is selected according to the first-time logged-in or logged-out state, and the page stay time can still be calculated under the abnormal condition.

In one embodiment, the page stay time counting method further comprises:

Optionally, the processor obtains the user identifier when the current state of the target web page is the log-out state and the previous state is the log-out state, that is, when the change of the user state is "log-out-log-out", the target user is considered to be logged out, so that the stay time of the target page is equal to the stay time of the historical page, and the time difference between the log-out state and the log-out state does not need to be accumulated.

In this embodiment, by determining that the current state of the user identifier in the target webpage is log-out and the previous state is log-out, a corresponding calculation rule is selected to calculate the stay time of the target webpage.

In one embodiment, the page stay time statistics method includes:

the login and logout states of the user A and the user B and the corresponding timestamp information are shown in the following table.

1) User A operates on webpage A at time point 1

2) User A jumps from web page A to web page B at time point 2

3) User A jumps back from web page B to web page A at time point 3

4) User A operates again from web page A at time point 4

Alternatively, the continuous login minimum interval duration is set to 10 seconds, the continuous login maximum interval duration is set to 3 minutes, and the preset duration from one login to login is set to 15 minutes.

When the time point 1 is 9:00, the user A logs in the webpage A for the first time; at this time, when the current state of the user A on the webpage A is obtained to be the first login, the stay time of the target page is equal to the stay time of the historical page plus the default endowing time, and the default endowing time is defined as the minimum interval time of continuous login in the scheme. The historical page dwell time is 0. Target page stay time=history page stay time+default given time=0+10 seconds=10 seconds.

When the time point 2 is 9:02, the user first logs out of the webpage A; at this time, the current state of the user A on the webpage A is a log-out state, the previous state is a log-in state, and the state of the user A on the webpage A is judged as follows: the login-logout is needed to calculate a second difference between the timestamp 9:02 corresponding to the current state of the user A in the webpage A as the logout state and the timestamp 9:00 corresponding to the previous state of the user A in the webpage A as the logout state; the second difference was 2 minutes. Further judging the size relation between the second difference value 2 minutes and the preset time length 15 minutes from one login to one login, wherein obviously, the second difference value 2 minutes is less than or equal to the preset time length 15 minutes from one login to one login, so that the target page stay time = history page stay time+ (second difference value-minimum interval time length of continuous login) is selected to calculate the page stay time; 10 seconds + (2 min-10 sec) =2 min.

9:02 user A logs out webpage B; at this time, when the current state of the user A on the webpage B is obtained to be the first login, the stay time of the target page is equal to the stay time of the historical page plus the default endowing time, and the default endowing time is defined as the minimum interval time of continuous login in the scheme. The historical page dwell time is 0. Target page stay time=history page stay time+default given time=0+10 seconds=10 seconds.

At the time point 3 of 9:22, the user a jumps back to the webpage a from the webpage B, namely, the user a logs in to the webpage a, and the state of the user a at the webpage a is changed into 'log-out-log-in', so that the state of the user a at the webpage a is considered to be logged out, and the target page stay time = history page stay time + continuous login minimum interval time = 2 minutes +10 seconds.

The current state of the user A is a log-out webpage B, the previous state is a log-in webpage B, at the moment, the state change of the user A on the webpage B is a log-in-log-out, so that the difference value between time stamps corresponding to the two states is calculated, the difference value is 20 minutes, the size relation between the difference value of 20 minutes and the preset time length of one log-in to log-out is further judged, the difference value is obviously larger than the preset time length of one log-in to log-out, and therefore, the target page stay time = history page stay time + the preset time length of one log-in to log-out = 10 seconds +15 minutes.

The time point 4 is 9:23, and is that the user A performs operation again on the webpage A, namely the state of the user A on the webpage A is changed into 'login-login', and the difference value between the time stamp 9:23 corresponding to the current state of the user A on the webpage A as the login state and the time stamp 9:22 corresponding to the previous state of the user A on the webpage A is calculated for 1 minute; further, the difference value of 1 minute is judged to be 10 seconds with the minimum continuous login interval time, the maximum continuous login interval time is judged to be 3 minutes, the difference value of 1 minute is more than the minimum continuous login interval time and is 10 seconds and less than the maximum continuous login interval time and is 3 minutes, and therefore, the target page stay time of the user A on the webpage A=the historical page stay time+the first difference value=2 minutes 10 seconds+1 minute=3 minutes 10 seconds.

The current state of the user a on the web page B is log-out, and the previous state is log-out, that is, the state change is "log-out-log-out", so that the target page stay time of the user a on the web page b=the history page stay time=15 minutes 10 seconds.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a page stay time counting device for realizing the above-mentioned page stay time counting method. The implementation scheme of the solution provided by the device is similar to the implementation scheme described in the above method, so the specific limitation in the embodiments of the one or more page stay time statistics devices provided below may refer to the limitation of the page stay time statistics method hereinabove, and will not be described herein.

In one embodiment, as shown in fig. 5, there is provided a page stay length statistics apparatus, including: a first obtaining module 501, a first calculating module 502, a first judging module 503, a second judging module 504, and a third judging module 505, wherein:

the first obtaining module 501 is configured to obtain a current state of the user identifier in the target web page as a login state and a corresponding timestamp, and a previous state as a login state and a corresponding timestamp.

The first calculating module 502 is configured to calculate a first difference between a timestamp corresponding to a current state of the target web page being a login state and a timestamp corresponding to a previous state of the target web page being a login state.

The first determining module 503 is configured to, if the first difference is smaller than the minimum interval duration of continuous login, determine that the target page stay duration is equal to the historical page stay duration.

A second judging module 504, configured to, if the first difference is greater than the minimum interval duration of continuous login and less than or equal to the longest interval duration of continuous login, then the target page stay duration is equal to the historical page stay duration plus the first difference; wherein the continuous login minimum interval duration is less than the continuous login maximum interval duration.

The third determining module 505 is configured to, if the first difference is greater than the continuous login longest interval duration, determine that the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration.

In one embodiment, the page stay time counting device further includes:

the second acquisition module is used for acquiring the current state of the user identifier in the target webpage as the login state and the corresponding time stamp, and acquiring the previous state as the login state and the corresponding time stamp.

The second calculating module is used for calculating a second difference value between the timestamp corresponding to the current state of the target webpage being the login state and the timestamp corresponding to the previous state of the target webpage being the login state.

And the fourth judging module is used for judging whether the second difference value is smaller than or equal to the preset time length from one login to one logout, wherein the target page stay time length is equal to the historical page stay time length plus the second difference value minus the continuous login minimum interval time length.

And a fifth judging module, configured to if the second difference is greater than the preset time length from one login to one logout, then the target page stay time is equal to the historical page stay time plus the preset time length from one login to one logout.

In one embodiment, the page stay time counting device further includes:

and the query module is used for querying the previous state of the user identifier in the target webpage and the corresponding timestamp from the event log.

In one embodiment, the page stay time counting device further includes:

the first state judgment duration calculation module is used for obtaining that when the current state of the user identifier in the target webpage is the first login state or the logged-out state, the target webpage stay duration is equal to the historical webpage stay duration plus the continuous login minimum interval duration.

In one embodiment, the first state determination duration calculation module includes:

the inquiring unit is used for inquiring the previous state of the user identifier in the target webpage from the event log;

The first state judgment duration calculation unit is used for considering that the current state of the user identifier in the target webpage is the first login state if the previous state of the user identifier in the target webpage is not queried in the event log;

and the second state judgment duration calculation unit is used for considering that the current state of the user identifier in the target webpage is the logged-out state if the previous state of the user identifier in the target webpage is queried from the event log and the previous state is the logged-out state.

In one embodiment, the page stay time counting device further includes:

and the second state judgment duration calculation module is used for obtaining that the target page stay duration is equal to the historical page stay duration under the condition that the current state of the target webpage is the log-out state and the previous state is the log-out state of the user identifier.

The above-mentioned each module in the page stay time statistics device may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store page dwell time statistics. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a method of page stay length statistics.

It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:

acquiring a current state of a user identifier in a target webpage as a login state and a corresponding time stamp, and acquiring the previous state as the login state and the corresponding time stamp; calculating a first difference value between a timestamp corresponding to the current state of the target webpage being the login state and a timestamp corresponding to the previous state of the user identification of the target webpage being the login state; if the first difference value is smaller than the minimum interval duration of continuous login, the stay duration of the target page is equal to the stay duration of the historical page; if the first difference value is greater than the minimum interval duration of continuous login and less than or equal to the maximum interval duration of continuous login, the target page stay time is equal to the historical page stay time plus the first difference value; wherein the continuous login minimum interval duration is less than the continuous login maximum interval duration; and if the first difference value is larger than the continuous login longest interval duration, the target page stay duration is equal to the historical page stay duration plus the continuous login minimum interval duration.

In one embodiment, the processor when executing the computer program further performs the steps of:

acquiring a current state of a user identifier in a target webpage as a login state and a corresponding time stamp, and acquiring the previous state as the login state and the corresponding time stamp; calculating a second difference value between a timestamp corresponding to the current state of the target webpage being the login state and a timestamp corresponding to the previous state of the user identification of the target webpage being the login state; if the second difference value is smaller than or equal to the preset time length from one login to one logout, the target page stay time length is equal to the historical page stay time length plus the second difference value minus the continuous login minimum interval time length; and if the second difference value is larger than the preset time length from one login to one login, the target page stay time is equal to the historical page stay time plus the preset time length from one login to one login.

querying a previous state of the user identifier in the target webpage from an event log; if the previous state of the user identifier in the target webpage is not queried in the event log, the current state of the user identifier in the target webpage is considered to be a first login state; and if the previous state of the user identifier in the target webpage is queried from the event log, and the previous state is a logged-out state, the current state of the user identifier in the target webpage is considered to be the logged-out state.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.

In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A method for counting page stay time, the method comprising:

2. The method according to claim 1, wherein the method further comprises:

3. The method according to claim 1 or 2, characterized in that the method further comprises:

4. The method according to claim 1, wherein the method further comprises:

5. The method of claim 4, wherein the obtaining the user identifier in the manner that the current state of the target web page is the first-in state or the logged-out state comprises:

6. The method according to claim 1, wherein the method further comprises:

7. A page stay time statistics device, the device comprising:

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.