CN101964886A - EPG calibration system based on user operation log and method - Google Patents
EPG calibration system based on user operation log and method Download PDFInfo
- Publication number
- CN101964886A CN101964886A CN2010102726607A CN201010272660A CN101964886A CN 101964886 A CN101964886 A CN 101964886A CN 2010102726607 A CN2010102726607 A CN 2010102726607A CN 201010272660 A CN201010272660 A CN 201010272660A CN 101964886 A CN101964886 A CN 101964886A
- Authority
- CN
- China
- Prior art keywords
- time
- program
- user
- epg
- cluster analysis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Debugging And Monitoring (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses an EPG calibration system based on a user operation log, which comprises a set top box and a stream media server, wherein the stream media server is provided with a log database and a log cluster analysis engine; the log database is used for recording and storing an operation log of users to request a program on the stream media server through the set top box; and the log cluster analysis engine is used for clustering and analyzing the operation log generated in the course of requesting and looking back the program for the users to judge and record the correct starting time of the program for subsequent users. The invention also discloses an EPG calibration method. The invention can be used for calibrating the starting time of the program in EPG calibration.
Description
Technical field
The present invention relates to Digital Television EPG, especially relate to a kind of EPG calibration system and method based on User operation log.
Background technology
Usually all use EPG (Electronic Program Guide now, electric program menu) comes to provide the index and the navigation of miscellaneous service for Digital Television, the menu that the user utilizes EPG to provide can be selected the channel oneself liked, the program that program request oneself is liked, search various information etc., in Digital Television, play important effect.Review in the system in TV programme, EPG has comprised the programme information in each channel the past period (a for example week), and these programs (for example TV play, film, special topic, variety show etc.) are that the form by EPG shows to select to the user and watches.Set-top box can get access to programm name, program zero-time, program end time from EPG information, when the user selects reviewing program and watching of certain channel, set-top box can send signaling to front-end server, and the initial concluding time that server is set according to EPG broadcasts stream and gives set-top box.Therefore if the program zero-time that provides of EPG has deviation, the program that finally obtains of user also has deviation so.
But in the existing IPTV system, the EPG temporal information during TV programme is reviewed is inaccurate often, and this makes the user can't navigate to correct program zero-time in request program, thereby can't find the program of program request.And in order to find the program of program request, have to navigate to correct Pgmtime by manual operations, wasting manpower and material resources not only, and also increased the possibility of makeing mistakes owing to misoperation.
Therefore, a kind of system and method for determining correct EPG temporal information of development and Design how has become one of technical barrier that present urgent need solves.
Summary of the invention
The present invention provides a kind of EPG calibration system and method based on User operation log for solving the technical problem that prior art can't correctly navigate to the program zero-time.
For solving the problems of the technologies described above, the technical solution used in the present invention is a kind of EPG calibration system based on User operation log of design, comprise set-top box, streaming media server, described streaming media server is provided with a log database and a daily record cluster analysis engine, and described log database is used to write down and store the user by the Operation Log of set-top box to the streaming media server request program; Cluster analysis is carried out in the daily record that described daily record cluster analysis engine is used for the user is produced when program is reviewed in program request, judges correct program zero-time and notes for subsequent user and use.
Media Stream time when described Operation Log comprises user ID, channel designation, programm name, user's action type and operation.
The described Media Stream time comprises reproduction time, F.F. time, rewind down time and dwell time.
Described cluster analysis comprises carries out preliminary treatment to media stream data, removing can not be used as the User operation log of cluster analysis data source, carry out cluster analysis with the operation behavior record to last program request, obtain play time accurately, this time point is as the initial reference value of program.
The present invention also provides a kind of EPG calibration steps based on User operation log, comprises the following steps:
Step 1, the operation log recording of user's on-demand playback program is stored in the log database;
Step 2, daily record cluster analysis engine carry out preliminary treatment to the operating data of Operation Log data-base recording, remove noise data;
Step 3, daily record cluster analysis engine carry out cluster analysis to pretreated data, obtain the time reference value that program begins normal play;
Step 4, the zero-time of above-mentioned reference value as program is written among the EPG, uses for follow-up user.
The Media Stream time when Operation Log in the described step 1 comprises user ID, channel designation, programm name, user's action type and operation.The described Media Stream time comprises reproduction time, F.F. time, rewind down time and dwell time.
The DBSCAN algorithm is selected in described cluster analysis for use, and the object of cluster is exactly the time reference value that program begins normal play.
The present invention is based on the Operation Log that produces when the EPG calibration system of user behavior cluster analysis and method are operated by analysis user, and Operation Log is carried out obtaining after the cluster analysis the real zero-time of program, and write among the EPG, use for subsequent user, make subsequent user when reviewing program, can accurately navigate to the program zero-time, have outstanding advantage compared to existing technology.
Description of drawings
The present invention is described in detail below in conjunction with embodiment and accompanying drawing, wherein:
Fig. 1 is an EPG calibration system logic diagram of the present invention;
Fig. 2 is an EPG calibration steps flow chart of the present invention.
Embodiment
A kind of EPG calibration system and method based on the user behavior cluster analysis that the present invention proposes are to carry out cluster analysis by the daily record that the user is produced when program is reviewed in program request, judge the correct program beginning and ending time and note to subsequent user and use.It is to realize on the basis of analysis user behavior daily record, concerning domestic consumer, when user's program request program but when but not receiving correct beginning, he can attempt current Media Stream is carried out the fast forwarding and fast rewinding behavior, and he can stop and begins to watch during to satisfied position when fast forwarding and fast rewinding.This satisfied position might be head, also might be that to have skipped the content of head initial.Therefore, the logging machine top box is at the Operation Log of streaming media server request program and be kept in the log database, by to the Operation Log in the log database and carry out cluster analysis, just can obtain the zero-time of program, and then the zero-time that cluster analysis obtains program write among the EPG, can use for subsequent user, accurately to navigate to the program that needs.
See also Fig. 1.The EPG calibration system that the present invention is based on the user behavior cluster analysis comprises set-top box, streaming media server and daily record cluster analysis engine.Wherein:
Set-top box is obtained programm name, program zero-time, program end time from EPG information, when the user selects the program of certain channel to watch, set-top box sends the streaming media server of signaling to front end, and the initial concluding time that streaming media server is set according to EPG broadcasts program stream and gives set-top box.
Streaming media server comprises a log record database and daily record cluster analysis engine.The operation behavior in the whole process of program is reviewed in the program request of log database recording user, comprises program request, F.F., and rewind down stops etc., and produces oplogs store in log database.In this specific embodiment, the form of Operation Log is (user, channel, program, operation, five-tuple time), wherein, user represents user ID, channel represents channel designation, and program represents programm name, and operation represents action type, as F.F., broadcast etc., the Media Stream time when time represents that the user operates.For example User operation log may for (user1, CCTV1,16, play, 10:30:26).Wherein user id is user1, channel designation is CCTV1, the id of the program of program request is 16, user's operation is play, Media Stream time during operation is 10:30:26, what it should be noted that time representative in the five-tuple is the Media Stream time of user when operating, the just current time of reviewing in the program.
The Operation Log that daily record cluster analysis engine is used for the user is produced when program is reviewed in program request carries out cluster analysis, judges correct program zero-time and notes for subsequent user and use.Daily record cluster analysis engine carries out preliminary treatment to daily record data earlier, deletes noise data, and then pretreated data are carried out cluster analysis.Its principle is as follows:
1, data preliminary treatment
The pretreated purpose of data is to remove noise data, so-called noise data is meant the User operation log that can not be used as the cluster analysis data source, in reviewing system, be presented as the operation behavior of user's randomness more, comprise that the user arbitrarily browses and leaves, the user is overdue to be left after hitting etc. at once, the characteristics of this class behavior are that normal viewing time is not directly proportional with the duration of program, and operation is frequently greater than normally watching.
Daily record cluster analysis engine is according to the time of setting the Operation Log information of database to be carried out cluster analysis, and it is to five-tuple (user, the channel of Operation Log, program, operation time) analyzes, and the behavior daily record of user's randomness is deleted.Can eliminate by setting threshold this, for the normal viewing time of program (promptly not operation during this period of time) take browse this program span time (being that the user is from watching program to the Media Stream time span that withdraws from program) in the family ratio less than to a certain degree, then think improper user.
2, pretreated data are carried out cluster analysis
The primitive of describing user's operation has play (broadcast), fast forward (F.F.), back forward (rewind down), teardown (stopping) etc.For instance, be the program " light of science and technology " of 10:30:26-10:56:10 for time range, certain user may produce following Operation Log:
1)play?10:30:26
2)fast?forward?10:30:39
3)back?forward?10:34:55
4)play?10:33:02
Can see from user's Operation Log: 1) user at first from EPG program request " light of science and technology ", therefore at this time play with time parameter identical with EPG; 2) user finds that the program that broadcasts is not " light of science and technology ", but advertisement, so he selects F.F., and forwarding operation is to send when playing programs has arrived 10:30:39 reviewing; 3) user finds that F.F. is initial considerably beyond program, so he selects rewind down, sends when playing programs has arrived 10:34:55 reviewing during fast reverse operation; 4) user has finally fallen back on the satisfied time soon, and at this time normal play begins, and the time is 10:33:02.
More than be the operation behavior record of a normal users when inaccurate EPG is arrived in program request, to the normal play time of Operation Log, also be 4 in the Operation Log) time point carry out the Density Clustering analysis, can obtain several bunches, select maximum bunch, its mean value can be used as the initial reference value of program.
With clustering result, also be that the program zero-time writes database at last, watch use, thereby promote user's satisfaction for follow-up user.
The employed data of cluster be (user, channel, program, " play ", five-tuple time), basic DBSCAN algorithm is adopted in the Density Clustering analysis, resulting bunch of cluster be time bunch, be one dimension.When existing under a plurality of bunches the situation, situation that may be such: the certain user navigates to the program head and begins just to stop to watch; The other user then can skip the program head, the direct viewing programme content.Therefore at this time can select bigger two bunches simultaneously for use.What pay particular attention to is that the action type that the last Operation Log that uses of cluster uses only is broadcast, and does not comprise other action type such as F.F., rewind down etc.
See also Fig. 2, the EPG calibration steps that the present invention is based on user's operation behavior comprises the following steps:
Step 1, the operation log recording of user's on-demand playback program is stored in the log database.Media Stream time when Operation Log comprises user ID, channel designation, programm name, user's action type and operation.The described Media Stream time comprises reproduction time, F.F. time, rewind down time and dwell time.
Step 2, daily record cluster analysis engine carry out preliminary treatment to the operating data of Operation Log data-base recording, remove noise data;
Step 3, daily record cluster analysis engine carry out cluster analysis to pretreated data, obtain the time reference value that program begins normal play.The DBSCAN algorithm is selected in described cluster analysis for use, and the object of cluster is exactly the time reference value that program begins normal play.
Step 4, the zero-time of above-mentioned reference value as program is written among the EPG, uses for follow-up user.
Claims (8)
1. EPG calibration system based on User operation log, comprise set-top box, streaming media server, it is characterized in that: described streaming media server is provided with a log database and a daily record cluster analysis engine, and described log database is used to write down and store the user by the Operation Log of set-top box to the streaming media server request program; The Operation Log that described daily record cluster analysis engine is used for the user is produced when program is reviewed in program request carries out cluster analysis, judges correct program zero-time and notes for subsequent user and use.
2. EPG calibration system according to claim 1 is characterized in that: the Media Stream time when described Operation Log comprises user ID, channel designation, programm name, user's action type and operation.
3. EPG calibration system according to claim 1 is characterized in that: the described Media Stream time comprises reproduction time, F.F. time, rewind down time and dwell time.
4. EPG calibration system according to claim 1, it is characterized in that: described cluster analysis comprises carries out preliminary treatment to media stream data, removing can not be used as the User operation log of cluster analysis data source, carry out cluster analysis with operation behavior record to last program request, obtain play time accurately, this time point is as the initial reference value of program.
5. the EPG calibration steps based on User operation log is characterized in that comprising the following steps:
Step 1, the operation log recording of user's on-demand playback program is stored in the log database;
Step 2, daily record cluster analysis engine carry out preliminary treatment to the operating data of Operation Log data-base recording, remove noise data;
Step 3, daily record cluster analysis engine carry out cluster analysis to pretreated data, obtain the time reference value that program begins normal play;
Step 4, the zero-time of above-mentioned reference value as program is written among the EPG, uses for follow-up user.
6. EPG calibration steps according to claim 5 is characterized in that: the Media Stream time the when Operation Log in the described step 1 comprises user ID, channel designation, programm name, user's action type and operation.
7. EPG calibration steps according to claim 6 is characterized in that: the described Media Stream time comprises reproduction time, F.F. time, rewind down time and dwell time.
8. EPG calibration steps according to claim 5 is characterized in that: the DBSCAN algorithm is selected in described cluster analysis for use, and the object of cluster is exactly the time reference value that program begins normal play.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102726607A CN101964886A (en) | 2010-09-03 | 2010-09-03 | EPG calibration system based on user operation log and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102726607A CN101964886A (en) | 2010-09-03 | 2010-09-03 | EPG calibration system based on user operation log and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101964886A true CN101964886A (en) | 2011-02-02 |
Family
ID=43517591
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010102726607A Pending CN101964886A (en) | 2010-09-03 | 2010-09-03 | EPG calibration system based on user operation log and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101964886A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104185066A (en) * | 2014-03-04 | 2014-12-03 | 无锡天脉聚源传媒科技有限公司 | Method and device for automatically verifying electronic program menu |
| CN106791983A (en) * | 2016-12-23 | 2017-05-31 | Tcl集团股份有限公司 | A kind of intelligent television user behavior analysis method and system |
| CN109120366A (en) * | 2018-07-09 | 2019-01-01 | 平安科技（深圳）有限公司 | Logging time bearing calibration, device and storage medium based on Session Initiation Protocol |
| CN110519629A (en) * | 2019-08-29 | 2019-11-29 | 杭州当虹科技股份有限公司 | A kind of simple intelligent EPG calibration method based on screenshot |
| CN110933483A (en) * | 2019-11-14 | 2020-03-27 | 杭州当虹科技股份有限公司 | EPG auxiliary calibration system and method based on intelligent identification |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101212664A (en) * | 2006-12-30 | 2008-07-02 | 深圳市同洲电子股份有限公司 | Program editing, distribution, and request method |
| US20080189753A1 (en) * | 2005-01-19 | 2008-08-07 | Koninklijke Philips Electronics, N.V. | Apparatus and Method for Analyzing a Content Stream Comprising a Content Item |
| CN101345853A (en) * | 2008-08-07 | 2009-01-14 | 深圳市迅雷网络技术有限公司 | Method and system for acquiring video resource cutting time point |
| CN101662661A (en) * | 2009-09-15 | 2010-03-03 | 深圳市同洲电子股份有限公司 | Video-on-demand method based on live broadcast and recording and system thereof |
-
2010
- 2010-09-03 CN CN2010102726607A patent/CN101964886A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080189753A1 (en) * | 2005-01-19 | 2008-08-07 | Koninklijke Philips Electronics, N.V. | Apparatus and Method for Analyzing a Content Stream Comprising a Content Item |
| CN101212664A (en) * | 2006-12-30 | 2008-07-02 | 深圳市同洲电子股份有限公司 | Program editing, distribution, and request method |
| CN101345853A (en) * | 2008-08-07 | 2009-01-14 | 深圳市迅雷网络技术有限公司 | Method and system for acquiring video resource cutting time point |
| CN101662661A (en) * | 2009-09-15 | 2010-03-03 | 深圳市同洲电子股份有限公司 | Video-on-demand method based on live broadcast and recording and system thereof |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104185066A (en) * | 2014-03-04 | 2014-12-03 | 无锡天脉聚源传媒科技有限公司 | Method and device for automatically verifying electronic program menu |
| CN104185066B (en) * | 2014-03-04 | 2017-05-31 | 无锡天脉聚源传媒科技有限公司 | A kind of method and device of automatic Verification electric program menu |
| CN106791983A (en) * | 2016-12-23 | 2017-05-31 | Tcl集团股份有限公司 | A kind of intelligent television user behavior analysis method and system |
| CN106791983B (en) * | 2016-12-23 | 2020-06-23 | Tcl科技集团股份有限公司 | Smart television user behavior analysis method and system |
| CN109120366A (en) * | 2018-07-09 | 2019-01-01 | 平安科技（深圳）有限公司 | Logging time bearing calibration, device and storage medium based on Session Initiation Protocol |
| CN109120366B (en) * | 2018-07-09 | 2021-10-29 | 平安科技（深圳）有限公司 | Log time correction method, device and storage medium based on SIP protocol |
| CN110519629A (en) * | 2019-08-29 | 2019-11-29 | 杭州当虹科技股份有限公司 | A kind of simple intelligent EPG calibration method based on screenshot |
| CN110519629B (en) * | 2019-08-29 | 2021-08-13 | 杭州当虹科技股份有限公司 | Simple intelligent EPG calibration method based on screenshot |
| CN110933483A (en) * | 2019-11-14 | 2020-03-27 | 杭州当虹科技股份有限公司 | EPG auxiliary calibration system and method based on intelligent identification |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9628873B2 (en) | Methods and systems for identifying a media program clip associated with a trending topic | |
| US11750895B2 (en) | Crowd-sourced program boundaries | |
| US9319724B2 (en) | Favorite media program scenes systems and methods | |
| CA2924065C (en) | Content based video content segmentation | |
| US8682145B2 (en) | Recording system based on multimedia content fingerprints | |
| US20160149956A1 (en) | Media management and sharing system | |
| US10349000B2 (en) | Continuous re-insertion of advertisements in video content | |
| CN102364956B (en) | Method for realizing advertising in starting of Internet protocol television (IPTV) system | |
| US20190259423A1 (en) | Dynamic media recording | |
| US10469918B1 (en) | Expanded previously on segments | |
| CN111512635B (en) | Method and system for selectively skipping media content | |
| US20140067855A1 (en) | Media asset usage data reporting that indicates corresponding content creator | |
| US11778286B2 (en) | Systems and methods for summarizing missed portions of storylines | |
| US11451885B1 (en) | Methods and systems for providing dynamic summaries of missed content from a group watching experience | |
| CN101964886A (en) | EPG calibration system based on user operation log and method | |
| CN103442270B (en) | A kind of method and device for the viewing-data for gathering user | |
| CN104581226A (en) | Method and device for recommending programs by aiming at current live stream | |
| US20170094370A1 (en) | Digital video recorder and a method for dynamic management of advertising content on a digital video recorder | |
| EP3214821A1 (en) | Determining advertisement locations based on customer interaction | |
| US11381863B2 (en) | Systems and methods for creating custom media channels | |
| US11671655B2 (en) | Metadata manipulation | |
| KR20130013938A (en) | Digital broadcasting system viewing classified corner of contents and service method thtereof | |
| CA2993708A1 (en) | Crowd-sourced program boundaries |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20110202 |