CN106776956B - Micro-course data playing habit analysis method and device - Google Patents
Micro-course data playing habit analysis method and device Download PDFInfo
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- CN106776956B CN106776956B CN201611100716.4A CN201611100716A CN106776956B CN 106776956 B CN106776956 B CN 106776956B CN 201611100716 A CN201611100716 A CN 201611100716A CN 106776956 B CN106776956 B CN 106776956B
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- 238000004458 analytical method Methods 0.000 title claims description 12
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- 238000012360 testing method Methods 0.000 claims description 4
- 230000011218 segmentation Effects 0.000 claims description 3
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- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
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Abstract
The invention is suitable for the field of intelligent terminals and provides a method and a device for analyzing the playing habit of micro-course data. The method comprises the following steps: the method comprises the steps of obtaining the starting time and the ending time of micro-class data playing and obtaining basic information of the micro-class data, wherein the basic information of the micro-class data comprises the following steps: subject to which the micro-course data belongs; dividing the moment between the starting moment and the ending moment of the micro-course data playing according to a preset discretization moment to determine at least one audio-visual record; the preset discretization time is determined according to all the preset discretization times of the first unit time in one day; and determining the playing habit of the micro-class data according to the audio-visual record and the basic information of the micro-class data. By the method, more accurate playing habits of the micro-course data can be determined in a shorter time.
Description
Technical field
The embodiment of the present invention belong to intelligent terminal field more particularly to a kind of micro- class data broadcasting habit analysis method and
Device.
Background technique
It is in recent years the instruction after class of each term, every subjects, each term different content that students provide
Micro- class video is increasing year by year.Therewith, micro- the holding within the class period of suitable student itself is searched and watches, switching term, subject are different
The operation of chapters and sections knowledge point also gradually becomes miscellaneous, for example, being suitble in oneself to find from a large amount of micro- class video
Hold, user needs to be implemented page switching, the functions such as classification or search, to increase operation complexity.
In order to reduce operation complexity, existing method mainly passes through study and analyzes user behavior, then speculates user's
Study is intended to, and the finally study of user by inference is intended to push corresponding micro- class video.Specifically, micro- class video is counted to broadcast
Date for putting, type recommend to be suitable for when week, current time to accumulate the broadcasting habit of user further according to determining broadcasting habit
Micro- class video.But in existing method, the broadcasting habit due to collecting and surveying student needs to spend longer time, and if learning
Raw begin to use is not found the effect got instant result but using the equipment of this method, then is likely to not use using the party
The equipment of method.Therefore, it is necessary to collect and survey the study habit of the micro- class video of a large amount of student in a short time and play habit.
Summary of the invention
The embodiment of the invention provides a kind of broadcasting of micro- class data habit analysis method and devices, it is intended to solve existing
Method takes a long time the problem of broadcasting habit for determining micro- class data.
The embodiment of the present invention is in a first aspect, provide a kind of broadcasting habit analysis method of micro- class data, the method packet
It includes:
At the beginning of obtaining micro- class data playback and finish time, and, the essential information of micro- class data is obtained,
The essential information of micro- class data includes: subject belonging to micro- class data；
According to the preset discretization moment divide at the beginning of micro- class data playback between finish time when
It carves, to determine at least one audiovisual record；The preset discretization moment is according to preset first unit time discretization one
It all moment determine；
The broadcasting habit of micro- class data is determined according to the essential information of audiovisual record and micro- class data.
The second aspect of the embodiment of the present invention provides a kind of broadcasting habit analytical equipment of micro- class data, described device packet
It includes:
Playing time acquiring unit, for obtaining micro- class data playback at the beginning of and finish time, and, obtain institute
The essential information of micro- class data is stated, the essential information of micro- class data includes: subject belonging to micro- class data；
Audiovisual records determination unit, at the beginning of dividing micro- class data playback according to the preset discretization moment
At the time of quarter between finish time, to determine at least one audiovisual record；The preset discretization moment is according to preset
All moment of first unit time discretization one day determine；
Habit determination unit is played, for determining institute according to the essential information of audiovisual record and micro- class data
State the broadcasting habit of micro- class data.
In embodiments of the present invention, by determining institute according to the essential information of audiovisual record and micro- class data
The broadcasting habit of micro- class data is stated, and audiovisual record is to divide opening for micro- class data playback according to the preset discretization moment
It is determined at the time of beginning between moment and finish time, therefore, can get and more be broadcast for analyzing in a relatively short period of time
The sample of habit is put, to determine the broadcasting habit of more accurately micro- class data within a short period of time.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the broadcasting habit analysis method for micro- class data that first embodiment of the invention provides；
Fig. 2 is a kind of structure chart of the broadcasting habit analytical equipment for micro- class data that second embodiment of the invention provides.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
In the embodiment of the present invention, at the beginning of obtaining micro- class data playback and finish time, and, obtain micro- class
The essential information of data, at the beginning of dividing micro- class data playback according to the preset discretization moment and finish time it
Between at the time of, with determine at least one audiovisual record, the preset discretization moment according to preset first unit time from
Dispersion one day all moment determined, determined micro- class according to the essential information of audiovisual record and micro- class data
The broadcasting of data is accustomed to.
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Embodiment one:
Fig. 1 shows a kind of process of the broadcasting habit analysis method of micro- class data of first embodiment of the invention offer
Figure, details are as follows:
Step S11, at the beginning of obtaining micro- class data playback and finish time, and, obtain micro- class data
Essential information, the essential information of micro- class data include: subject belonging to micro- class data.
Wherein, (or finish time) includes broadcasting at the beginning of micro- class data (such as micro- class video, micro- class audio) play
Date for putting, week, time point (specific to when and/or point and/or the second).The essential information of micro- class data includes: micro- class data
The subject (such as Chinese language, mathematics), course packet (the mock examination examination question of such as each section), course name etc..Table 1 is shown
At the beginning of obtaining micro- class data playback and finish time, and, obtain wherein the one of the essential information of micro- class data
A example:
Table 1:
It should be noted that needing to obtain a period of time to improve the accuracy of the broadcasting habit analysis of micro- class data
The multiple start times and finish time of the interior micro- class data playback of difference.
Step S12, at the beginning of dividing micro- class data playback according to the preset discretization moment and finish time
Between at the time of, with determine at least one audiovisual record；The preset discretization moment is according to preset first unit time
Discretization one day all moment determined.
Wherein, preset first unit time can be " 1 hour ", for example, it is assumed that the preset discretization moment is with whole
Point is discrete, then since one day has 24 moment, then 0 point to 1 point (i.e. 0-1), 1 point to 2 points (i.e. 1-2), 2 points to 3 points (i.e. 2-
3) .., be respectively the preset discretization moment in certain several discretization moment.
Specifically, across several discretization moment at the time of at the beginning of micro- class data playback between finish time
When, for example, it is assumed that at the beginning of micro- class data playback for 20 points 58 minutes, finish time of micro- class data playback is 22: 10
Point, then assign to 22: 10 for 20: 58 according to the preset discretization moment (integral point segmentation)/at the time of be divided into from 20 points
58 assign to 21 points, from 21 points to 22 point, from 22 points to 22 point 10 minutes this 3 audiovisual records.Data after segmentation are as shown in table 2:
Table 2:
Step S13 determines micro- class data according to the essential information of audiovisual record and micro- class data
Play habit.
Specifically, by the storage corresponding with the essential information of micro- class data of audiovisual record, the broadcasting habit of micro- class data is obtained.
It optionally, can be each audiovisual record imparting pair in order to improve the accuracy of analysis that the broadcasting of micro- class data is accustomed to
The weight answered, at this point, the step S13 is specifically included:
A1, progress discretization, the time grain of second unit time are recorded to the audiovisual using the second unit time
Degree is shorter than the time granularity of first unit time.Wherein, the time granularity of the second unit time can for point or the second.Example
Such as, be in the time granularity of the first unit time " when " when, the time granularity of the second unit time can for " dividing " or
" second " certainly, if the time granularity of the second unit time is " second ", at the beginning of micro- class data playback (or finish time)
" second " should be accurate to.Discretization is carried out due to recording to audiovisual, the information content of acquisition is increased, to improve point
Analyse the confidence level of the broadcasting habit of micro- class data.
A2, the weight that the audiovisual record is determined according to the audiovisual of discretization record, the weight recorded according to the audiovisual
And the essential information of micro- class data determines the broadcasting habit of micro- class data.Specifically, when determine audiovisual record
When weight, that is, determine the weight that a corresponding micro- class data (such as a certain micro- class data of section's purpose) is recorded with the audiovisual.Wherein,
The value of weight records that corresponding duration is related with the audiovisual of discretization, corresponding when the audiovisual of discretization records corresponding duration
The value of weight is also bigger.For example, it is assumed that the time granularity of the second unit time is " divide ", then record can also be with for the audiovisual of discretization
" dividing " is related, and it is 2 that such as 1 minute corresponding weight, which is the value of 1,2 minutes corresponding weights, other and so on, as shown in table 3:
When counting in a period of time different micro- class data (such as different subjects) after the weight at different discretization moment, if
At some discretization moment, some section's purpose weight is bigger, then shows that user is more likely to watch the section at the discretization moment
Purpose content.
Optionally, the frequency using the micro- class data of difference of statistics at the different discretization moment is practised as the broadcasting of micro- class data
A used content, at this point, the step S13 is specifically included:
B1, progress discretization, the time grain of second unit time are recorded to the audiovisual using the second unit time
Degree is shorter than the time granularity of first unit time.
B2, frequency of the micro- class data at the preset discretization moment is determined according to the audiovisual of discretization record,
Institute is determined in the frequency at the preset discretization moment and the essential information of micro- class data according to micro- class data
State the broadcasting habit of micro- class data.Specifically, the audiovisual note of discretization of the same micro- class data at the same discretization moment is counted
The frequency of record, to determine different micro- class data in the frequency at different discretization moment.It is Chinese language, number that table 4, which shows statistical account,
Learn, English the videograph of the discretization at different discretization moment frequency.
Table 4:
Table 5 shows different course packets in the frequency of the videograph of the discretization at different discretization moment.
Table 5:
According to table 4, table 5 it is found that some discretization moment, if the frequency of some subject (or course packet) is bigger, table
Bright user was more likely to watch section's purpose content at the discretization moment.
Further, in order to more intuitively indicate that user watches the probability of different micro- class data, the step S13 is specifically wrapped
It includes:
C1, progress discretization, the time grain of second unit time are recorded to the audiovisual using the second unit time
Degree is shorter than the time granularity of first unit time.
C2, frequency of the micro- class data at the preset discretization moment is determined according to the audiovisual of discretization record,
Frequency according to micro- class data at the preset discretization moment determines micro- class data described preset discrete
Change the probability at moment.Wherein it is determined that probability can pass through percentage round determine.
C3, according to micro- class data the preset discretization moment probability and micro- class data it is basic
Information determines the broadcasting habit of micro- class data.
Table 6, table 7 respectively illustrate different subjects, and different course packets are remembered in the video of the discretization at different discretization moment
The probability of record.
Table 6:
Table 7:
According to above-mentioned table 6, table 7 it is found that when a certain subject (or course packet) probability it is bigger, then show user this from
The dispersion moment is more likely to watch section's purpose content.
Optionally, after the step S13, comprising:
At the time of D1, detection receive micro- class data playback instruction place.
D2, at the time of will test compared with the preset discretization moment, it is discrete where at the time of to determine the detection
Change the moment.For example, it is assumed that being that 20:01 then knows detection at the time of the preset discretization moment is that integral point divides at the time of detection
At the time of should be between this discretization moment of 20-21.
D3, ratio is accustomed in the broadcasting at discretization moment and the micro- class data determined where at the time of the detection of judgement
Compared with the essential information of determining micro- class data corresponding at the time of the detection.Assuming that detection at the time of should be at 20-21 this
Between the discretization moment, then judge detection at the time of where week (assuming that on Sunday), finally search broadcasting for micro- class data
" 20-21 " on Sunday this moment in habit is put, user is more likely to micro- class data of viewing.For example, it is assumed that micro- class data
Broadcasting habit in " 20-21 " on Sunday this moment, the maximum subject of weight be mathematics, then " mathematics " is determined as and is examined
The essential information of corresponding micro- class data at the time of survey.Certainly, if user be more likely to viewing micro- class data be by frequency,
Probability etc. determines, then searches the essential information of frequency maximum or the highest micro- class data of probability, details are not described herein again.
The corresponding micro- class data of essential information of the determining micro- class data corresponding at the time of the detection of D4, push.
In first embodiment of the invention, at the beginning of obtaining micro- class data playback and finish time, and, described in acquisition
The essential information of micro- class data, at the beginning of dividing micro- class data playback according to the preset discretization moment and at the end of
At the time of between quarter, to determine at least one audiovisual record, when the preset discretization moment is according to preset first unit
Between discretization one day all moment determine, according to the audiovisual record and micro- class data essential information determine described in
The broadcasting of micro- class data is accustomed to.Due to determining micro- class according to the essential information of audiovisual record and micro- class data
The broadcasting of data is accustomed to, and audiovisual record is at the beginning of dividing micro- class data playback according to the preset discretization moment
It determines at the time of between finish time, therefore, can get in a relatively short period of time more for analyzing broadcasting habit
Sample, thus within a short period of time determine more accurately micro- class data broadcasting habit.
It should be understood that in embodiments of the present invention, magnitude of the sequence numbers of the above procedures are not meant to the elder generation of execution sequence
Afterwards, the execution sequence of each process should be determined by its function and internal logic, the implementation process structure without coping with the embodiment of the present invention
At any restriction.
Embodiment two:
Fig. 2 shows a kind of structures for playing habit analytical equipment for micro- class data that second embodiment of the invention provides
The broadcasting habit analytical equipment of figure, micro- class data can be applied in various intelligent terminals, which may include through nothing
The user equipment that line access RAN is communicated with one or more core nets, the user equipment can be mobile phone (or
For " honeycomb " phone), the computer with mobile device etc., for example, user equipment can also be portable, pocket, hand-held
Formula, built-in computer or vehicle-mounted mobile device, they exchange voice and/or data with wireless access network.In another example should
Mobile device may include smart phone, tablet computer, Jia Jiaoji, personal digital assistant PDA, point-of-sale terminal POS or vehicle mounted electric
Brain etc..For ease of description, only parts related to embodiments of the present invention are shown.
The broadcasting habit analytical equipment of micro- class data includes: playing time acquiring unit 21, audiovisual record determination unit
22, habit determination unit 23 is played.Wherein:
Playing time acquiring unit 21, for obtaining micro- class data playback at the beginning of and finish time, and, obtain
The essential information of micro- class data, the essential information of micro- class data include: subject belonging to micro- class data.
Wherein, (or finish time) includes broadcasting at the beginning of micro- class data (such as micro- class video, micro- class audio) play
Date for putting, week, time point (specific to when and/or point and/or the second).The essential information of micro- class data includes: micro- class data
The subject (such as Chinese language, mathematics), course packet (the mock examination examination question of such as each section), course name etc..
Audiovisual records determination unit 22, for dividing the beginning of micro- class data playback according to the preset discretization moment
At the time of between moment and finish time, to determine at least one audiovisual record.The preset discretization moment is according to default
One day all moment of the first unit time discretization determine.
Wherein, preset first unit time can be " 1 hour ".
Habit determination unit 23 is played, for determining according to the essential information of audiovisual record and micro- class data
The broadcasting of micro- class data is accustomed to.
Specifically, by the storage corresponding with the essential information of micro- class data of audiovisual record, the broadcasting habit of micro- class data is obtained.
It optionally, can be each audiovisual record imparting pair in order to improve the accuracy of analysis that the broadcasting of micro- class data is accustomed to
The weight answered, the broadcasting habit determination unit 23 specifically include:
First audiovisual records discrete block, carries out discretization, institute for recording using the second unit time to the audiovisual
The time granularity for stating for the second unit time is shorter than the time granularity of first unit time.Wherein, the second unit time when
Between granularity can for point or the second.
Audiovisual records weight determination module, for determining the weight of the audiovisual record according to the audiovisual of discretization record,
The broadcasting habit of micro- class data is determined according to the essential information of the weight of audiovisual record and micro- class data.Tool
Body, when determining the weight of audiovisual record, that is, determines and record corresponding micro- class data (such as a certain section's purpose with the audiovisual
Micro- class data) weight.Wherein, the value of weight records that corresponding duration is related with the audiovisual of discretization, when the audiovisual of discretization
Corresponding duration is recorded, the value of corresponding weight is also bigger.
Optionally, the frequency using the micro- class data of difference of statistics at the different discretization moment is practised as the broadcasting of micro- class data
A used content, at this point, broadcasting habit determination unit 23 specifically includes:
Second audiovisual records discrete block, carries out discretization, institute for recording using the second unit time to the audiovisual
The time granularity for stating for the second unit time is shorter than the time granularity of first unit time.
The frequency determining module of micro- class data, for determining micro- class data described according to the audiovisual of discretization record
The frequency at preset discretization moment, according to micro- class data in the frequency at the preset discretization moment and described micro-
The essential information of class data determines the broadcasting habit of micro- class data.Specifically, same micro- class data are counted same discrete
Change the frequency of the audiovisual record of the discretization at moment, to determine different micro- class data in the frequency at different discretization moment.
Further, in order to more intuitively indicate that user watches the probability of different micro- class data, the broadcasting habit is determined
Unit 23 specifically includes:
Third audiovisual records discrete block, carries out discretization, institute for recording using the second unit time to the audiovisual
The time granularity for stating for the second unit time is shorter than the time granularity of first unit time.
The probability determination module of micro- class data, for determining micro- class data described according to the audiovisual of discretization record
The frequency at preset discretization moment, the frequency according to micro- class data at the preset discretization moment determine described micro-
Probability of the class data at the preset discretization moment.Wherein it is determined that probability can be true by percentage round
It is fixed.
Determining module is accustomed in the broadcasting of micro- class data, is used for according to micro- class data at the preset discretization moment
Probability and micro- class data essential information determine micro- class data broadcasting habit.
Optionally, the broadcasting habit analytical equipment of micro- class data includes:
Playing time detection unit, at the time of receiving micro- class data playback instruction place for detecting.
Playing time comparing unit, at the time of for will test compared with the preset discretization moment, to determine the inspection
The discretization moment where at the time of survey.
The essential information determination unit of micro- class data, the discretization moment where at the time of the detection for will determine
Compared with the broadcasting of determining micro- class data habit, the essential information of micro- class data corresponding at the time of the detection is determined.
Micro- class data-pushing unit, for pushing the basic letter of determining micro- class data corresponding at the time of the detection
Cease corresponding micro- class data.
Due to searching the essential information of corresponding micro- class data according to the broadcasting habit of fixed accurately micro- class data,
Therefore, so that micro- class data of push are also more acurrate.
In second embodiment of the invention, due to being determined according to the essential information of audiovisual record and micro- class data
The broadcasting of micro- class data is accustomed to, and audiovisual record is to divide micro- class data playback according to the preset discretization moment
It determines at the time of between start time and finish time, therefore, can get in a relatively short period of time more for analyzing
The sample of habit is played, to determine the broadcasting habit of more accurately micro- class data within a short period of time.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (4)
1. analysis method is accustomed in a kind of broadcasting of micro- class data, which is characterized in that the described method includes:
At the beginning of obtaining micro- class data playback and finish time, and, the essential information of micro- class data is obtained, it is described
The essential information of micro- class data includes: subject belonging to micro- class data, course packet and course name；Micro- class data playback
Start time or finish time include the date played, week, time point；
At the time of at the beginning of according to segmentation of preset discretization moment micro- class data playback between finish time, with
Determine that at least one audiovisual records；The preset discretization moment is according to preset first unit time discretization one day institute
Have and determines constantly；
The broadcasting habit of micro- class data is determined according to the essential information of audiovisual record and micro- class data；
The essential information according to audiovisual record and micro- class data determines that the broadcasting of micro- class data is accustomed to,
It specifically includes:
The audiovisual is recorded using the second unit time and carries out discretization, the time granularity of second unit time is shorter than institute
State the time granularity of the first unit time；
The weight that audiovisual record is determined according to the audiovisual of discretization record, according to the weight of audiovisual record and described
The essential information of micro- class data determines the broadcasting habit of micro- class data；
Alternatively, determining frequency of the micro- class data at the preset discretization moment, root according to the audiovisual of discretization record
According to micro- class data the preset discretization moment frequency and micro- class data essential information determine described in
The broadcasting of micro- class data is accustomed to；
Alternatively, determining frequency of the micro- class data at the preset discretization moment, root according to the audiovisual of discretization record
Frequency according to micro- class data at the preset discretization moment determines micro- class data in the preset discretization
The probability at moment；
It is true in the probability at the preset discretization moment and the essential information of micro- class data according to micro- class data
The broadcasting habit of fixed micro- class data.
2. the method according to claim 1, wherein described according to audiovisual record and micro- class number
According to essential information determine micro- class data broadcasting habit after, comprising:
At the time of detection receives micro- class data playback instruction place；
Discretization moment at the time of will test compared with the preset discretization moment, where at the time of to determine the detection；
By the discretization moment where at the time of the detection of judgement compared with the broadcasting of the micro- class data determined habit, determine
The essential information of micro- class data corresponding at the time of the detection；
Push the corresponding micro- class data of essential information of determining micro- class data corresponding at the time of the detection.
3. analytical equipment is accustomed in the broadcastings of micro- class data a kind of, which is characterized in that described device includes:
Playing time acquiring unit, for obtaining micro- class data playback at the beginning of and finish time, and, obtain it is described micro-
The essential information of class data, the essential information of micro- class data include: subject belonging to micro- class data, course packet and course name
Claim；At the beginning of micro- class data playback or finish time includes the date played, week, time point；
Audiovisual records determination unit, for dividing micro- class data playback according to the preset discretization moment at the beginning of and
At the time of between finish time, to determine at least one audiovisual record；The preset discretization moment is according to preset first
Unit time discretization one day all moment determined；
Habit determination unit is played, it is described micro- for being determined according to the essential information of audiovisual record and micro- class data
The broadcasting of class data is accustomed to；
The broadcasting habit determination unit specifically includes:
First audiovisual records discrete block, carries out discretization for recording using the second unit time to the audiovisual, and described the
The time granularity of two unit time is shorter than the time granularity of first unit time；
Audiovisual records weight determination module, for determining the weight of the audiovisual record according to the audiovisual of discretization record, according to
The weight of the audiovisual record and the essential information of micro- class data determine the broadcasting habit of micro- class data；
Alternatively, the broadcasting habit determination unit specifically includes:
Second audiovisual records discrete block, carries out discretization for recording using the second unit time to the audiovisual, and described the
The time granularity of two unit time is shorter than the time granularity of first unit time；
The frequency determining module of micro- class data, for determining micro- class data described default according to the audiovisual of discretization record
The discretization moment frequency, frequency and micro- class number according to micro- class data at the preset discretization moment
According to essential information determine micro- class data broadcasting habit；
Alternatively, the broadcasting habit determination unit specifically includes:
Third audiovisual records discrete block, carries out discretization for recording using the second unit time to the audiovisual, and described the
The time granularity of two unit time is shorter than the time granularity of second unit time；
The probability determination module of micro- class data, for determining micro- class data described default according to the audiovisual of discretization record
The discretization moment frequency, the frequency according to micro- class data at the preset discretization moment determines micro- class number
According to the probability at the preset discretization moment；
Determining module is accustomed in the broadcastings of micro- class data, for general at the preset discretization moment according to micro- class data
The essential information of rate and micro- class data determines the broadcasting habit of micro- class data.
4. device according to claim 3, which is characterized in that described device includes:
Playing time detection unit, at the time of receiving micro- class data playback instruction place for detecting；
Playing time comparing unit, at the time of for will test compared with the preset discretization moment, to determine the detection
The discretization moment where moment；
The essential information determination unit of micro- class data, discretization moment where at the time of the detection for will determine and really
The broadcasting habit of fixed micro- class data compares, and determines the essential information of micro- class data corresponding at the time of the detection；
Micro- class data-pushing unit, for pushing the essential information pair of determining micro- class data corresponding at the time of the detection
The micro- class data answered.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699852A (en) * | 2009-10-26 | 2010-04-28 | 中山大学 | Method and set-top box for automatically playing favorite television programs of users |
| CN104780394A (en) * | 2015-03-24 | 2015-07-15 | 南京宇都通讯科技有限公司 | Video remote-playing habit learning method and system for handheld devices and televisions |
| CN104935968A (en) * | 2015-06-25 | 2015-09-23 | 广州视源电子科技股份有限公司 | Method and system for recommending programs by network television |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699852A (en) * | 2009-10-26 | 2010-04-28 | 中山大学 | Method and set-top box for automatically playing favorite television programs of users |
| CN104780394A (en) * | 2015-03-24 | 2015-07-15 | 南京宇都通讯科技有限公司 | Video remote-playing habit learning method and system for handheld devices and televisions |
| CN104935968A (en) * | 2015-06-25 | 2015-09-23 | 广州视源电子科技股份有限公司 | Method and system for recommending programs by network television |
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