CN106612459A - Method and device for calculating user viscosity based on Internet protocol television - Google Patents
Method and device for calculating user viscosity based on Internet protocol television Download PDFInfo
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- 238000004364 calculation method Methods 0.000 abstract description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a method and a device for calculating the user viscosity based on Internet protocol television, and relates to the technical field of Internet. The problem that the accuracy of existing user viscosity calculation is low can be solved. The method of the invention mainly comprises the following steps: acquiring operation instructions triggered in the playing process of Internet protocol television; calculating the time interval between two adjacent operation instructions; weighting the time intervals according to a weighting rule to get time intervals after processing; calculating the sum of the time intervals after processing, and getting a single watching length; calculating the sum of single watching lengths in a preset period of time to get the total watching length; and determining the user viscosity according to the total watching length. The method and the device are mainly applicable to an occasion in which the user viscosity is determined by calculating the watching length of users.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a method and a device for counting user viscosity based on a network television.
Background
An Internet Protocol Television (IPTV) is an interactive network Television that integrates multiple technologies such as Internet, multimedia, and communication. Unlike a conventional tv, the IPTV can provide various digital media services including tv programs through internet protocol, for example, a user can move forward and backward during tv viewing, and for example, the user can play a network game through the IPTV. Thus, IPTV gradually merges into people's lives.
In the prior art, IPTV mainly comprises a network set top box and a common television. After the network set-top box is sold by a manufacturer of the network set-top box, the loyalty of the user is often counted so as to predict the future sales prospect of the network set-top box according to the loyalty of the user. In practical applications, the important indicator for counting the loyalty of the user is the user viscosity. The method for counting the user viscosity comprises the following steps: counting the watching time of the user in a certain time period (generally, in a certain day), and dividing the user with the watching time into corresponding user viscosities according to a user viscosity division rule. Therefore, the key to the user's viscosity is to count the viewing time of the user. The existing method for counting the watching time length of a user comprises the following steps: and counting the total time length of the network set top box in the starting state in the preset time period. However, in real life, there are the following situations: the user sleeps during watching the television, or does not return for a long time after leaving the house, or forgets to turn off the network set-top box after turning off the television. For the above case, although the network set-top box is in the on state, the user does not watch the television. Therefore, the prior art counts the time that the user does not really watch into the watching duration, thereby causing the accuracy of counting the viscosity of the user to be reduced.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for user viscosity statistics based on an internet protocol television, which can solve the problem of low accuracy in the existing user viscosity statistics.
According to an aspect of the present invention, there is provided a method for counting user viscosity based on an internet protocol television, the method comprising:
acquiring an operation instruction triggered in the playing process of the network television;
calculating the time interval between two adjacent operation instructions;
according to a weighting rule, carrying out weighting processing on each time interval to obtain a processed time interval;
calculating the sum of all the processed time intervals to obtain the single watching duration;
calculating the sum of all single watching durations in a preset time period to obtain the total watching duration;
and determining the viscosity of the user according to the total viewing time.
According to another aspect of the present invention, there is provided an apparatus for counting a user's viscosity based on an internet protocol television, the apparatus comprising:
the acquisition unit is used for acquiring an operation instruction triggered in the playing process of the network television;
the calculating unit is used for calculating the time interval between two adjacent operation instructions in the operation instructions acquired by the acquiring unit;
the processing unit is used for weighting each time interval obtained by the calculating unit according to a weighting rule to obtain a processed time interval;
the computing unit is further configured to compute a sum of all the processed time intervals obtained by the processing unit to obtain a single-time viewing duration;
the calculating unit is further used for calculating the sum of all single watching durations in a preset time period to obtain the total watching duration;
and the determining unit is used for determining the viscosity of the user according to the total viewing time obtained by the calculating unit.
By the technical scheme, the method and the device for counting the user viscosity based on the network television can calculate the time interval between two adjacent operation instructions after acquiring the operation instruction triggered in the playing process of the network television (namely the process from the step of opening the video player to the step of closing the video player once), namely the time for the user to play the network television without performing any operation such as fast forwarding, tuning, channel changing and the like on the network television, and then respectively carry out weighting processing on each time interval according to the weighting rule, so that the accuracy of the obtained watching time length between two adjacent operation instructions is improved, the accuracy of the obtained single watching time length (namely the time for the user to watch the video in the process from the step of opening the video player once to the step of closing the video player) is improved, and the accuracy of counting the watching time length in the preset time period is improved, and the accuracy of the user viscosity statistics.
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.
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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 is a flowchart illustrating a method for counting a user's viscosity based on an internet protocol television according to an embodiment of the present invention;
FIG. 2 is a block diagram illustrating an apparatus for user viscosity statistics based on IPTV according to an embodiment of the present invention;
fig. 3 is a block diagram illustrating another apparatus for user viscosity statistics based on network tv according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the invention provides a method for counting user viscosity based on an internet protocol television, which comprises the following steps of:
101. and acquiring an operation instruction triggered in the playing process of the network television.
In practical application, various operations of the user on the network television can be acquired through various data acquisition modes. For example, a data tracking code may be embedded in a video player of a network television, any action that a user has made with the video player detected in real time, and the detected action fed back to the device with which the data tracking code is associated (e.g., the code requires that the detected data be fed back to a device). That is, the apparatus (hereinafter, the apparatus is referred to as a viscosity statistics apparatus) can store all the operation instructions generated so far on the network television side each containing a data tracking code.
When it is necessary to count the user viscosity within the preset time period, the viscosity counting device may obtain all the operation instructions triggered at a certain network television side within the preset time period from the local, and respectively execute the operation procedure described in step 102-.
Therefore, the playing process of the network television mentioned in this step refers to a process from starting the video player to closing the video player, that is, the operation instruction triggered in the playing process of the network television obtained in this step at least includes starting the video player and closing the video player. In addition, when the user watches the video, the network television may be subjected to operations such as pause, fast forward, rewind, channel change and tuning, menu clicking, color mixing and dimming, and therefore the obtained operation instructions may also include pause, fast forward, rewind, channel change, tuning, menu clicking, color mixing and dimming, and the like.
102. And calculating the time interval between two adjacent operation instructions.
Since each operation instruction is triggered at different time points, when the operation instruction is collected, the time when the corresponding operation instruction is triggered is also collected, so that the time can be counted by using each time point when the time length is counted and watched later.
In this step, the time intervals between two adjacent operation instructions are respectively calculated according to the time sequence of the triggered operation instructions, so that all the time when a user only allows the network television to play without performing any operation such as fast forwarding, tuning, channel changing and the like on the network television in the process from the video player starting to the video player closing at a single time can be obtained.
103. And according to a weighting rule, carrying out weighting processing on each time interval to obtain the processed time interval.
The weighting rule is a rule for assigning corresponding weight values to different time intervals. After the time intervals between all two adjacent operation instructions are calculated, the time intervals corresponding to the weight values can be weighted according to the weight values specified in the weighting rule, so that the processed time intervals are obtained.
It should be noted that, the weighted value specified in the weighting rule is obtained by counting a large number of times that the user really watches the video all over the network, and therefore, the time interval after the weighting process is closer to the real watching time of the user between two adjacent operation instructions.
104. And calculating the sum of all the processed time intervals to obtain the single-time viewing duration.
After the weighting processing is performed on each time interval, summing processing can be performed on all the processed time intervals, so as to obtain a single watching duration, namely the time length of the user watching the video in the process from the video player being started to the video player being closed.
It should be noted that, when calculating the single watching time duration, the embodiment of the present invention first calculates the time intervals between two adjacent operation instructions, and performs weighting processing on each time interval, and then obtains the single watching time duration by calculating the sum of the time intervals after processing, and does not directly perform weighting processing on the total time interval between the video player being turned on and the video player being turned off, so as to obtain the single watching time duration, because in the playing process of the network television, as long as the operation instruction can be detected, it indicates that the user is in front of the network television at this moment to perform operations such as tuning, channel changing, or fast forwarding (that is, the user is watching the network television), and in the time period between two adjacent operation instructions, the user does not perform any operation on the network television, that is, the network television is in a forward playing state (that is not adjusted) in this time period, but the user may or may not always watch the network television (for example, the user is asleep after watching a while). Therefore, the weighting processing is performed on the time when the network television is in the playing state and the user does not perform any operation on the time, so that the accuracy of the finally obtained single-time watching duration is higher.
105. And calculating the sum of all single watching durations in a preset time period to obtain the total watching duration.
In the preset time period, the user may start and close the video player only once, or may start and close the video player many times. Therefore, when the total watching duration within the preset time period is calculated, each single watching duration needs to be calculated respectively, and then all the single watching durations are summed to obtain the total watching duration.
106. And determining the viscosity of the user according to the total viewing time.
In practical application, according to different viewing time lengths, the user viscosity is mainly divided into four levels of high viscosity, second-highest viscosity, ordinary viscosity and low viscosity, and correspondingly, the network television user is divided into four users of high viscosity user, second-highest viscosity user, ordinary viscosity user and low viscosity user. Wherein a level corresponds to a range of viewing durations, e.g., a viewing duration in the range of 0-0.1 hours corresponds to a low user viscosity.
After the user viscosity of each user (namely, the user viscosity corresponding to each network television) is counted by the viscosity counting equipment, the number of high-viscosity users, second-high-viscosity users, ordinary-viscosity users and low-viscosity users can be counted, so that a network television manufacturer can predict the subsequent sale condition of the network televisions.
It should be noted that, the IPTV service is mainly implemented by three ways: (1) a network set top box + a common television; (2) a computer; (3) a mobile terminal. Since the data collected in the embodiment of the present invention is an operation instruction generated by the video player side, and any of the above manners can realize video playing based on the video player, the embodiment of the present invention can apply the IPTV in any of the above manners.
The method for counting the user viscosity based on the network television provided by the embodiment of the invention can calculate the time interval between two adjacent operation instructions, namely the time when the user only plays the network television but does not perform any operation such as fast forwarding, tuning, channel changing and the like on the network television after the operation instructions triggered in the playing process of the network television (namely the process from the video player being opened to the video player being closed at a single time) are obtained, and then respectively perform weighting processing on each time interval according to the weighting rules, so that the accuracy of the obtained watching duration between two adjacent operation instructions is improved, the accuracy of the obtained single watching duration (namely the time when the user watches the video in the process from the video player being opened at a single time to the video player being closed at a single time) is improved, and the accuracy of counting the watching duration in the preset time period is improved, and the accuracy of the user viscosity statistics.
Further, since the user may not be watching the tv all the time and may leave the tv for a while when the network tv is in the playing state for a long time without any user operation, in order to obtain the real watching time length of the user, the time period in this case may be weighted, so as to obtain a more real watching time length. As can be seen from this, the specific implementation manner of performing the weighting processing on each time interval according to the weighting rule in step 103 is as follows: judging whether the time interval is greater than a preset time threshold value or not; if the time interval is greater than the time threshold, weighting the time interval according to a weighting rule; and if the time interval is less than or equal to the time threshold, not performing weighting processing on the time interval. The preset time threshold is obtained by counting the watching duration of the users in the whole network.
Specifically, the specific implementation manner of performing weighting processing on each time interval is as follows: and multiplying the time interval by a preset weight value to obtain the processed time interval.
When the time interval is greater than the preset time threshold, the larger the value of the time interval is, the larger the proportion occupied by the time that the user does not really watch the television is, and therefore, in order to make the obtained watching time closer to the real watching time of the user, the proportion occupied by the time that the user does not really watch the television needs to be reduced. Therefore, the larger the value of the time interval is, the smaller the weight value assigned to the time interval is, that is, the time interval and the preset weight value are in a negative correlation relationship.
Further, in practical applications, the maximum time that a user watches television is different under different time conditions. For example, during a day, the user needs to work in the daytime, so that the time for watching television in the daytime is short, and the time for watching television in the evening is long because the user is idle in the evening. As another example, during weekdays, the user watches television for a shorter time, and during holidays, the user watches television for a longer time. Therefore, in order to further improve the accuracy of counting the watching time length, the following improvements can be made to the above scheme: and adjusting the size of the time threshold according to different preset time conditions.
Wherein, the heat degree of the preset time condition is in positive correlation with the time threshold. The popularity of the preset time condition is used for reflecting the length of the time that the user watches the television within a certain time period, that is, the higher the popularity of the preset time condition is, the longer the time that the user watches the television within the time period corresponding to the preset time condition is, the lower the popularity of the preset time condition is, and the shorter the time that the user watches the television within the time period corresponding to the preset time condition is.
Therefore, in the process of performing weighting processing on each time interval according to the weighting rule, if the heat degree of the time condition corresponding to the current time interval needing weighting processing is higher than the heat degree of the time condition corresponding to the previous time interval, before performing weighting processing on the current time interval, the preset time threshold corresponding to the previous time interval can be increased, the increased time threshold is used as the time threshold corresponding to the current time interval, and then whether weighting processing needs to be performed on the current time interval is judged; if the heat of the time condition corresponding to the current time interval needing weighting is lower than the heat of the time condition corresponding to the previous time interval, before the current time interval is weighted, the preset time threshold corresponding to the previous time interval can be reduced, the reduced time threshold is used as the time threshold corresponding to the current time interval, and then whether the current time interval needs weighting is judged; if the heat of the time condition corresponding to the current time interval needing weighting is equal to the heat of the time condition corresponding to the previous time interval, before the current time interval is weighted, a preset time threshold corresponding to the previous time interval may be used as the time threshold corresponding to the current time interval, and then it is determined whether weighting processing needs to be performed on the current time interval.
The time threshold value corresponding to the previous time interval is adjusted according to the heat degree of the time condition corresponding to the previous time interval and the heat degree of the time condition corresponding to the current time interval, and the adjusted time threshold value is used as the time threshold value corresponding to the current time interval. For example, a standard time threshold is set, the standard time threshold corresponds to a standard heat, and before weighting processing is performed on a certain time interval, the time condition to which the time interval belongs is determined; judging the difference between the heat degree of the time condition and the standard heat degree; if the heat degree of the time condition is higher than the standard heat degree, increasing the standard time threshold value, and taking the adjusted standard time threshold value as a time threshold value corresponding to the current time interval; if the heat degree of the time condition is lower than the standard heat degree, the standard time threshold value is reduced, and the adjusted standard time threshold value is used as a time threshold value corresponding to the current time interval; and if the heat degree of the time condition is equal to the standard heat degree, directly taking the standard time threshold value as the time threshold value corresponding to the current time interval.
Illustratively, if the triggered operation commands are to turn on the video player (13:30), tune (13:35), change the channel (19:00), fast forward (23:15) and turn off the video player (23:50) in sequence from a single turn on of the video player to a turn off of the video player, the calculated time intervals of two adjacent operation commands are 5 minutes, 5 hours, 25 minutes, 4 hours, 15 minutes and 35 minutes in sequence. If the golden time period is 19:00-24:00 and the ordinary time period is 00:00-19:00 (excluding the end points), the heat level of the golden time period is higher than that of the ordinary time period. If the time threshold corresponding to the golden time period is 4 hours and the time threshold corresponding to the ordinary time period is 2.5 hours, the first time interval does not exceed 2.5 hours, so that the first time interval does not need to be weighted; the second time interval exceeds 2.5 hours, so the second time interval needs to be weighted; the third time interval exceeds 4 hours, so the third time interval needs to be weighted; the fourth time interval does not exceed 4 hours, so the weighting process for the fourth time interval is not required.
Besides the time threshold values corresponding to different time conditions can be obtained by adjusting the size of the time threshold values, the time threshold values corresponding to the current time conditions can be searched in a table look-up mode. Specifically, a time threshold table may be locally stored, and when a time threshold needs to be obtained, the time condition to which the current time interval belongs is determined first, and then the time threshold corresponding to the time condition is searched in the time threshold table, so as to determine whether weighting processing needs to be performed on the current time interval according to the searched time threshold.
It should be noted that, in general, the operation instruction corresponding to each single-viewing time counted in the preset time period at least includes turning on the video player and turning off the video player, but in practical application, there may be the following cases:
(1) at the starting time point of the preset time period, a certain network television may be in a playing state, for example, the preset time period is 2015 year 10, month 1, 0:01-2015 year 10, month 1, day 1, 24:00, a user is watching the network television at 2015 year 10, month 1, day 0:01 (i.e., the network television is turned on before 2015 year 10, month 1, day 0: 01), a channel change operation is performed at 2015 year 10, month 1, day 1:00, and a video player is turned off at 2015 year 10, month 1, day 1:30 (i.e., the network television is turned off). For the above case, when calculating the single-viewing time length, in addition to calculating the time interval between two operation instructions of zapping and turning off the video player, the time interval between the start time point of the preset time period and the zapping operation instruction is calculated.
(2) At the end time point of the preset time period, a certain network television may be in a playing state, for example, the preset time period is 2015 year 10, month 1, 0:01-2015 year 10, month 1, 24:00, a user is watching the network television at 2015 year 10, month 1, month 24:00 (i.e., the network television is still not turned off at 2015 year 10, month 1, 24: 00), and the watching the television is to turn on the video player from 2015 year 10, month 1, day 18:00, and during the watching the television, channel changing, back-off and tuning operations are performed in sequence. For the above case, when calculating the single-watch time length, in addition to the time interval between turning on the video player and zapping, the time interval between zapping and back, and the time interval between back and tuning, the time interval between tuning and the end time point of the preset time period needs to be calculated.
Therefore, in the preset time period, the operation instruction corresponding to the first single watching time length at least comprises the closing of the video player, and the operation instruction corresponding to the last single watching time length at least comprises the opening of the video player.
Further, according to the above method embodiment, another embodiment of the present invention further provides an apparatus for counting a user's viscosity based on an internet protocol television, as shown in fig. 2, the apparatus includes: an acquisition unit 21, a calculation unit 22, a processing unit 23 and a determination unit 24. Wherein,
the acquiring unit 21 is configured to acquire an operation instruction triggered in the network television playing process;
a calculating unit 22, configured to calculate a time interval between two adjacent operation instructions in the operation instructions acquired by the acquiring unit 21;
a processing unit 23, configured to perform weighting processing on each time interval obtained by the calculating unit 22 according to a weighting rule, so as to obtain a processed time interval;
a calculating unit 22, further configured to calculate a sum of all the processed time intervals obtained by the processing unit 23, so as to obtain a single-time viewing duration;
the calculating unit 22 is further configured to calculate a sum of all single viewing durations within a preset time period to obtain a total viewing duration;
and the determining unit 24 is used for determining the viscosity of the user according to the total viewing time obtained by the calculating unit 22.
The device for counting the user viscosity based on the network television provided by the embodiment of the invention can calculate the time interval between two adjacent operation instructions, namely the time when the user only plays the network television but does not perform any operation such as fast forwarding, tuning, channel changing and the like on the network television after the operation instructions triggered in the playing process of the network television (namely the process from the video player being opened to the video player being closed at a single time) are obtained, and then respectively perform weighting processing on each time interval according to the weighting rules, so that the accuracy of the obtained watching duration between two adjacent operation instructions is improved, the accuracy of the obtained single watching duration (namely the time when the user watches the video in the process from the video player being opened at a single time to the video player being closed at a single time) is improved, and the accuracy of counting the watching duration in the preset time period is improved, and the accuracy of the user viscosity statistics.
Further, as shown in fig. 3, the processing unit 23 includes:
a determining module 231, configured to determine whether the time interval is greater than a preset time threshold;
and a processing module 232, configured to, when the determination result of the determining module 231 is that the time interval is greater than the time threshold, perform weighting processing on the time interval according to a weighting rule.
Further, the processing module 232 is configured to multiply a time interval by a preset weight value, where the time interval and the preset weight value are in a negative correlation relationship.
Further, as shown in fig. 3, the apparatus further includes:
the adjusting unit 25 is configured to adjust the size of the time threshold according to different preset time conditions, where the heat of the preset time conditions is in a positive correlation with the time threshold.
Further, the operation instruction acquired by the acquisition unit 21 includes one or more of the following: starting a video player, closing the video player, pausing, fast forwarding, rewinding, zapping, tuning, clicking a menu, toning and dimming.
The embodiment of the apparatus corresponds to the embodiment of the method, and for convenience of reading, details in the embodiment of the apparatus are not repeated one by one, but it should be clear that the apparatus in the embodiment can correspondingly implement all the contents in the embodiment of the method.
The device for counting the user viscosity based on the network television comprises a processor and a memory, wherein the acquiring unit, the calculating unit, the processing unit, the determining unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the accuracy of user viscosity statistics is improved by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The present application further provides a computer program product adapted to perform program code for initializing the following method steps when executed on a data processing device:
acquiring an operation instruction triggered in the playing process of the network television;
calculating the time interval between two adjacent operation instructions;
according to a weighting rule, carrying out weighting processing on each time interval to obtain a processed time interval;
calculating the sum of all the processed time intervals to obtain the single watching duration;
calculating the sum of all single watching durations in a preset time period to obtain the total watching duration;
and determining the viscosity of the user according to the total viewing time.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for counting user viscosity based on an Internet Protocol Television (IPTV), the method comprising:
acquiring an operation instruction triggered in the playing process of the network television;
calculating the time interval between two adjacent operation instructions;
according to a weighting rule, carrying out weighting processing on each time interval to obtain a processed time interval;
calculating the sum of all the processed time intervals to obtain the single watching duration;
calculating the sum of all single watching durations in a preset time period to obtain the total watching duration;
and determining the viscosity of the user according to the total viewing time.
2. The method of claim 1, wherein the weighting each time interval according to the weighting rule comprises:
judging whether the time interval is greater than a preset time threshold value or not;
and if the time interval is larger than the time threshold, carrying out weighting processing on the time interval according to a weighting rule.
3. The method of claim 2, wherein the weighting the time interval according to a weighting rule comprises:
and multiplying the time interval by a preset weight value, wherein the time interval and the preset weight value are in a negative correlation relationship.
4. The method of claim 2, further comprising:
and adjusting the size of the time threshold according to different preset time conditions, wherein the heat degree of the preset time conditions is in positive correlation with the time threshold.
5. The method of any of claims 1 to 4, wherein the operating instructions include one or more of: starting a video player, closing the video player, pausing, fast forwarding, rewinding, zapping, tuning, clicking a menu, toning and dimming.
6. An apparatus for counting the viscosity of a user based on an internet protocol television, the apparatus comprising:
the acquisition unit is used for acquiring an operation instruction triggered in the playing process of the network television;
the calculating unit is used for calculating the time interval between two adjacent operation instructions in the operation instructions acquired by the acquiring unit;
the processing unit is used for weighting each time interval obtained by the calculating unit according to a weighting rule to obtain a processed time interval;
the computing unit is further configured to compute a sum of all the processed time intervals obtained by the processing unit to obtain a single-time viewing duration;
the calculating unit is further used for calculating the sum of all single watching durations in a preset time period to obtain the total watching duration;
and the determining unit is used for determining the viscosity of the user according to the total viewing time obtained by the calculating unit.
7. The apparatus of claim 6, wherein the processing unit comprises:
the judging module is used for judging whether the time interval is greater than a preset time threshold value or not;
and the processing module is used for weighting the time interval according to a weighting rule when the judgment result of the judgment module is that the time interval is greater than the time threshold.
8. The apparatus of claim 7, wherein the processing module is configured to multiply the time interval by a preset weight value, and wherein the time interval is inversely related to the preset weight value.
9. The apparatus of claim 7, further comprising:
the adjusting unit is used for adjusting the size of the time threshold according to different preset time conditions, wherein the heat of the preset time conditions is in positive correlation with the time threshold.
10. The apparatus according to any one of claims 6 to 9, wherein the operation instruction acquired by the acquisition unit includes one or more of: starting a video player, closing the video player, pausing, fast forwarding, rewinding, zapping, tuning, clicking a menu, toning and dimming.
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