CN110515816A - A kind of analysis method and analysis system of user behavior - Google Patents
A kind of analysis method and analysis system of user behavior Download PDFInfo
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- CN110515816A CN110515816A CN201910768806.8A CN201910768806A CN110515816A CN 110515816 A CN110515816 A CN 110515816A CN 201910768806 A CN201910768806 A CN 201910768806A CN 110515816 A CN110515816 A CN 110515816A
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- 238000004458 analytical method Methods 0.000 title claims description 27
- 230000006399 behavior Effects 0.000 claims description 28
- 230000003542 behavioural effect Effects 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 7
- 238000012790 confirmation Methods 0.000 abstract description 3
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/735—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
According to the browsing time of user in the present invention, the viewing information of video is acquired within a preset time period, when the first viewing time for confirming current video is greater than first threshold, obtains the type label of currently viewing video；The type label of video is labeled as the point of interest of user when confirmation second watches the difference of duration and the viewing total duration less than second threshold by the watched time and the second viewing duration for acquiring same type label video again later.By above technical scheme, the watching behavior trace information situation of active user is obtained, more precisely the hobby of user is analyzed, then, it can be achieved that carrying out the push of corresponding video according to the point of interest of user on the basis of this.
Description
Technical field
The present invention relates to Internet technical fields, and in particular to a kind of analysis method and analysis system of user behavior.
Background technique
Nowadays, the information such as article or video carry out unified push, this push mode generally by the mode of classification
It has the following disadvantages: that the content of push is stereotyped, is unable to the hobby of Accurate Prediction user, push precision is not high.With calculating
The development of machine technology, gradually steps into big data era, and the demand analyzed for terminal user's behavior is higher and higher.
By taking the browsing behavior analysis to terminal user as an example, in existing scheme, usually according to user to current article
Or the parameters such as viewing time of video are analyzed the preference to judge user to it, then recommend it that may feel emerging to user
The article or video of interest, but in this way user is carried out liking analyzing, there are deviations for analysis result, analyze the standard of result
True rate is unsatisfactory.
Summary of the invention
It is to provide a kind of analysis method of user behavior for deficiency, a mesh of the invention in above-mentioned background technique, with
The accuracy rate to user interest point analysis is improved, the push of video is carried out according to the watching behavior track of user.
In order to achieve the goal above, using following technical scheme:
A kind of analysis method of user behavior comprising the steps of:
S1, acquisition user watches the behavioural information of video page within a preset time period, and forms corresponding history row
For information data, the behavioural information includes the first viewing duration and viewing total duration；The first viewing duration refers to pair
The viewing duration of single currently viewing video, the viewing total duration refer to the sight for watching all videos within a preset period of time
See total duration；
S2, judge whether the first viewing duration is more than preset first threshold:
S201: if so, obtaining the corresponding type label of currently viewing video；
S3, statistics meet the corresponding watched time of video and the second viewing duration of the type label；Described second
Viewing duration refers to total viewing duration to the type label video；
S4, judge whether the second viewing duration and the difference of the viewing total duration are lower than preset second threshold:
S401: if so, the type label is labeled as corresponding point of interest label, and corresponding point of interest mark is generated
Sign list；
S5, according to the point of interest list of labels information, obtain the watching behavior trace information situation of active user.
In the present embodiment, the method also includes: according to the browsing time of user, determine preset described in step S1
Period.
It is furthermore preferred that determining the preset period of multiple and different times according to the browsing time of user.
In the present embodiment, the method also includes: according to the watching behavior trace information of user, push corresponding video
Information.
It is another object of the present invention to additionally provide a kind of analysis system for user behavior, which is characterized in that
Module is obtained including memory module, judgment module, type acquisition module, statistical module, analysis module and point of interest；
The memory module watches the historical behavior information data of video page for storing collected user, simultaneously
Store the first threshold, second threshold；
Wherein, the behavioural information includes the first viewing duration and viewing total duration；
The judgment module, for judging whether the first viewing duration is more than preset first threshold；
The type acquisition module, for obtaining the corresponding type label of currently viewing video；
The statistical module, for counting the corresponding watched time of video and the second viewing that meet the type label
Duration；
The analysis module, for judging it is pre- whether the difference of the second viewing duration and the viewing total duration is lower than
The second threshold set；
The point of interest obtains module, for the type label to be labeled as corresponding point of interest label, and generates phase
The point of interest list of labels answered；
Further, the first viewing duration refers to the viewing duration to single currently viewing video, the viewing
Total duration refers to the viewing total duration for watching all videos within a preset period of time；
The second viewing duration refers to total viewing duration to the type label video.
Compared with prior art, the invention has the following advantages that
According to the browsing time of user in the present invention, the viewing information of video is acquired within a preset time period, works as confirmation
When first viewing time of current video is greater than first threshold, the type label of currently viewing video is obtained；It acquires again later same
The watched time of type label video and the second viewing duration, when the difference of duration and the viewing total duration is watched in confirmation second
When less than second threshold, the type label of video is labeled as to the point of interest of user.By above technical scheme, current use is obtained
The watching behavior trace information situation at family, more precisely analyzes the hobby of user, then on the basis of this, it can be achieved that according to
The point of interest of user carries out the push of corresponding video.
Detailed description of the invention
Fig. 1 is the flow diagram according to the user behavior analysis method of the embodiment of the present invention.
Specific embodiment
Detailed description of the preferred embodiments below.It should be understood that described herein specific
Embodiment is merely to illustrate and explain the present invention, and is not intended to restrict the invention.
Embodiment 1
A kind of analysis method of user behavior comprising the steps of:
S1, acquisition user watches the behavioural information of video page within a preset time period, and forms corresponding history row
For information data, the behavioural information includes the first viewing duration and viewing total duration；The first viewing duration refers to pair
The viewing duration of single currently viewing video, the viewing total duration refer to the sight for watching all videos within a preset period of time
See total duration；
In the present embodiment, according to the browsing time of user, the preset period described in step S1 is determined.
In this step, the time that video software is opened or closed according to user sets the period of viewing.For example, with
Frequent 8 points or so the opening video softwares at night in family, 11 points or so closing video softwares at night, therefore, the preset period can
To be set as 7 thirty to 11 thirty at night at night, the behavioural information that user in this period watches video is then acquired.
In another embodiment, according to the browsing time of user, the preset time of multiple and different times is determined
Section.
In this step, multiple preset time periods can be set separately according to user in the browsing time in different time periods.
For example, frequent 7 points to 8 points or so the viewing news category videos in the morning of user, and 8 thirty to 11 points or so viewings are given pleasure at night
Happy class video, therefore, preset period can be set to half to 8 thirty of 6:00 AM, at 8 points in evening to 11 thirty, then acquire
User watches the behavioural information of video in the two periods.
S2, judge whether the first viewing duration is more than preset first threshold:
S201: if so, obtaining the corresponding type label of currently viewing video；
S3, statistics meet the corresponding watched time of video and the second viewing duration of the type label；Described second
Viewing duration refers to total viewing duration to the type label video；
S4, judge whether the second viewing duration and the difference of the viewing total duration are lower than preset second threshold:
S401: if so, the type label is labeled as corresponding point of interest label, and corresponding point of interest mark is generated
Sign list；
S5, according to the point of interest list of labels information, obtain the watching behavior trace information situation of active user.
In the present embodiment, the method also includes: according to the watching behavior trace information of user, push corresponding video
Information.
Embodiment 2
A kind of analysis system for user behavior, including memory module, judgment module, type acquisition module, statistics mould
Block, analysis module and point of interest obtain module；
The memory module watches the historical behavior information data of video page for storing collected user, simultaneously
Store the first threshold, second threshold；
Wherein, the behavioural information includes the first viewing duration and viewing total duration；
The judgment module, for judging whether the first viewing duration is more than preset first threshold；
The type acquisition module, for obtaining the corresponding type label of currently viewing video；
The statistical module, for counting the corresponding watched time of video and the second viewing that meet the type label
Duration；
The analysis module, for judging it is pre- whether the difference of the second viewing duration and the viewing total duration is lower than
The second threshold set；
The point of interest obtains module, for the type label to be labeled as corresponding point of interest label, and generates phase
The point of interest list of labels answered；
Further, the first viewing duration refers to the viewing duration to single currently viewing video, the viewing
Total duration refers to the viewing total duration for watching all videos within a preset period of time；
The second viewing duration refers to total viewing duration to the type label video.
The basic principles, main features and advantages of the present invention have been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and what is described in the above embodiment and the description is only the present invention
Principle, various changes and improvements may be made to the invention without departing from the spirit and scope of the present invention, these variation and
Improvement is both fallen in the range of claimed invention.The present invention claims protection scope by appended claims and its
Equivalent defines.
Claims (6)
1. a kind of analysis method of user behavior, which is characterized in that comprise the steps of:
S1, acquisition user watches the behavioural information of video page within a preset time period, and forms corresponding historical behavior letter
Data are ceased, the behavioural information includes the first viewing duration and viewing total duration；The first viewing duration refers to single
Currently viewing video viewing duration, the viewing total duration refers to that the viewing for watching all videos within a preset period of time is total
Duration；
S2, judge whether the first viewing duration is more than preset first threshold:
S201: if so, obtaining the corresponding type label of currently viewing video；
S3, statistics meet the corresponding watched time of video and the second viewing duration of the type label；Second viewing
Duration refers to total viewing duration to the type label video；
S4, judge whether the second viewing duration and the difference of the viewing total duration are lower than preset second threshold:
S401: if so, the type label is labeled as corresponding point of interest label, and corresponding point of interest label column is generated
Table；
S5, according to the point of interest list of labels information, obtain the watching behavior trace information situation of active user.
2. a kind of analysis method of user behavior according to claim 1, which is characterized in that the method also includes: root
According to the browsing time of user, the preset period described in step S1 is determined.
3. a kind of analysis method of user behavior according to claim 2, which is characterized in that when according to the browsing of user
Between, determine the preset period of multiple and different times.
4. a kind of analysis method of user behavior according to claim 1, which is characterized in that the method also includes: root
According to the watching behavior trace information of user, corresponding video information is pushed.
5. a kind of analysis system for user behavior, which is characterized in that obtain mould including memory module, judgment module, type
Block, statistical module, analysis module and point of interest obtain module；
The memory module is watched the historical behavior information data of video page for storing collected user, is stored simultaneously
The first threshold, second threshold；
Wherein, the behavioural information includes the first viewing duration and viewing total duration；
The judgment module, for judging whether the first viewing duration is more than preset first threshold；
The type acquisition module, for obtaining the corresponding type label of currently viewing video；
The statistical module, when for counting the corresponding watched time of video and the second viewing that meet the type label
It is long；
The analysis module, for judging it is preset whether the difference of the second viewing duration and the viewing total duration is lower than
Second threshold；
The point of interest obtains module, for the type label to be labeled as corresponding point of interest label, and generates corresponding
Point of interest list of labels；
6. a kind of analysis system for user behavior according to claim 5, which is characterized in that when the described first viewing
The long viewing duration referred to single currently viewing video, the viewing total duration refer to that viewing is all within a preset period of time
The viewing total duration of video；
The second viewing duration refers to total viewing duration to the type label video.
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| CN201910768806.8A CN110515816A (en) | 2019-08-20 | 2019-08-20 | A kind of analysis method and analysis system of user behavior |
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| CN112035735A (en) * | 2020-07-28 | 2020-12-04 | 康艾艺 | Short video-based commodity recommendation method, device and system |
| CN113127751A (en) * | 2019-12-30 | 2021-07-16 | 中移(成都)信息通信科技有限公司 | User portrait construction method, device and equipment and computer readable storage medium |
| CN113747231A (en) * | 2021-09-03 | 2021-12-03 | 深圳市悦道科技有限公司 | Intelligent release video playing method and system |
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Application publication date: 20191129 |