CN106817624B - Method and device for analyzing behavior of user for reviewing program content - Google Patents
Method and device for analyzing behavior of user for reviewing program content Download PDFInfo
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- CN106817624B CN106817624B CN201510857708.3A CN201510857708A CN106817624B CN 106817624 B CN106817624 B CN 106817624B CN 201510857708 A CN201510857708 A CN 201510857708A CN 106817624 B CN106817624 B CN 106817624B
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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
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
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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
- H04N21/47—End-user applications
- H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
- H04N21/47217—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for controlling playback functions for recorded or on-demand content, e.g. using progress bars, mode or play-point indicators or bookmarks
Abstract
The invention provides a method and a device for analyzing the behavior of a user for reviewing program contents, wherein the method comprises the following steps: obtaining review record information of the user within the specified time from a preset content log, wherein the review record information is used for recording corresponding information of the user in the process of reviewing the program content within the specified time; and analyzing the characteristics of the review behavior of the user in the specified time according to the review record information. According to the technical scheme of the invention, because the time for watching the program is different for different users, and the preference of each user for watching the program in different time is different, the behavior of the user for watching the program content back is analyzed based on the watching back record information of the user for watching back the program content in the specified time, the specific characteristics of the user in the specified time can be analyzed according to the specified time, and the pushing of the related programs or advertisements and other contents is facilitated based on the analyzed characteristics.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for analyzing the behavior of a user for reviewing program contents.
Background
The IPTV, i.e. the interactive network television, is a brand-new technology that integrates the technologies of internet, multimedia, communication, etc. into a whole by using a broadband network and provides a variety of interactive services including digital televisions to home users. The method can well adapt to the rapid development trend of the current network and fully and effectively utilize network resources.
The IPTV has been in the thousands of households, and the IPTV receives video-on-demand programs by using a computer or a set-top box plus a television. On-demand has become a very important function of IPTV, and the product package ordering service derived from the IPTV has a great market value. In such a huge television resource, what on-demand contents are provided can be favored by users, and thus, it becomes a very important issue to improve user stickiness and competitiveness, and therefore it is necessary to analyze the user's preference degree for on-demand contents.
Disclosure of Invention
In view of the above, the present invention has been made to provide a method and apparatus for analyzing a user's behavior of reviewing program content that overcomes or at least partially solves the above-mentioned problems.
According to an aspect of the present invention, there is provided a method for analyzing a behavior of a user for reviewing program contents, comprising: obtaining review record information of the user within a specified time from a preset content log, wherein the review record information is used for recording corresponding information in the process that the user reviews program content within the specified time; and analyzing the characteristics of the review behavior of the user in the specified time according to the review record information.
Optionally, the method for analyzing the behavior of the user reviewing the program content obtains review record information of the user at a specified time from a preset content log, and specifically includes: and obtaining the review time of the multiple review behaviors of the user from the content log, searching the review time matched with the specified time from the multiple review times, and taking review record information corresponding to the matched review time as the review record information of the user in the specified time.
Optionally, in the foregoing method for analyzing a behavior of a user reviewing program content, the review record information includes a content identifier of the program content; the method further comprises the following steps: searching a number which is the same as the content identifier from a preset first timetable, and searching the name and/or channel of the program corresponding to the number in the first timetable according to the number to serve as the program content; the first time schedule is used for recording the names and/or channels of a plurality of programs and a plurality of corresponding numbers.
Optionally, in the foregoing method for analyzing a behavior of a user reviewing program content, the review record information includes a review time for the user reviewing the program content; analyzing the characteristics of the review behavior of the user in the specified time, specifically comprising: calculating a time difference between the first playing time of the program content recorded in a preset second timetable and the review time of the user reviewing the program content; the second schedule is used for recording the first playing time of a plurality of program contents.
Optionally, in the foregoing method for analyzing a behavior of a user reviewing program content, the user obtains a plurality of time differences when reviewing the program content for a plurality of times; analyzing characteristics of a review behavior of the user within the specified time, further comprising: and counting the review times corresponding to a specific time difference in the time differences and the total review times corresponding to the time differences, and calculating the ratio of the review times to the total review times.
According to another aspect of the present invention, there is provided an apparatus for analyzing a user's behavior in reviewing program content, including: the review record information acquisition module is used for acquiring review record information of the user within a specified time from a preset content log, wherein the review record information is used for recording corresponding information of the user in the process of reviewing program contents within the specified time; and the analysis module is used for analyzing the characteristics of the review behavior of the user in the specified time according to the review record information.
Optionally, in the apparatus for analyzing a behavior of a user reviewing program content, the review record information obtaining module obtains review times of multiple review behaviors of the user from the content log, searches review times matched with the specified time from the multiple review times, and uses review record information corresponding to the matched review times as review record information of the user within the specified time.
Optionally, in the foregoing apparatus for analyzing a behavior of a user reviewing program content, the review record information includes a content identifier of the program content; the device further comprises: the program content determining module is used for searching a serial number which is the same as the content identifier from a preset first time table, and searching the name and/or channel of the program corresponding to the serial number in the first time table according to the serial number to serve as the program content; the first time schedule is used for recording the names and/or channels of a plurality of programs and a plurality of corresponding numbers.
Optionally, in the foregoing apparatus for analyzing a user's behavior of reviewing program content, the review record information includes a review time for the user to review the program content; the analysis module calculates a time difference between the first playing time of the program content recorded in a preset second timetable and the review time of the user reviewing the program content; the second schedule is used for recording the first playing time of a plurality of program contents.
Optionally, in the foregoing apparatus for analyzing a behavior of a user reviewing program content, the user obtains a plurality of time differences when reviewing the program content for a plurality of times; the analysis module also counts the review times corresponding to a specific time difference in the time differences and the total review times corresponding to the time differences, and calculates the ratio of the review times to the total review times.
According to the technical scheme, the method and the device for analyzing the behavior of the user for reviewing the program content at least have the following advantages:
according to the technical scheme of the invention, because the time for watching the program is different for different users, and the preference of each user for watching the program in different time is different, the behavior of the user for watching the program content back is analyzed based on the watching back record information of the user for watching back the program content in the specified time, the specific characteristics of the user in the specified time can be analyzed according to the specified time, and the pushing of the related programs or advertisements and other contents is facilitated based on the analyzed characteristics.
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.
Drawings
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 illustrates a flow diagram of a method of analyzing a user's behavior in reviewing program content in accordance with one embodiment of the present invention;
FIG. 2 illustrates a flow diagram of a method of analyzing a user's behavior in reviewing program content in accordance with one embodiment of the present invention;
FIG. 3 illustrates a flow diagram of a method of analyzing a user's behavior in reviewing program content in accordance with one embodiment of the present invention;
FIG. 4 shows a block diagram of an apparatus for analyzing a user's behavior in reviewing program content according to one embodiment of the present invention;
fig. 5 shows a block diagram of an apparatus for analyzing a user's behavior to review program content 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.
As shown in fig. 1, in an embodiment of the present invention, a method for analyzing a behavior of a user reviewing program content is provided, including:
and step 110, obtaining review record information of the user in the specified time from a preset content log, wherein the review record information is used for recording corresponding information in the process that the user reviews the program content in the specified time. In this embodiment, for a content log content view.log generated by a certain TV terminal, a ServiceType field in the log is equal to 3-TVOD (TV On Demand, which is a video content On Demand service), which indicates that the corresponding log content is review data; log lookback record information includes, but is not limited to, the following: the review duration is EndTime-BeginTime; the length of the human review time (EndTime-BeginTime)/count (distint userid); the review number is a value obtained after BeginTime and EndTime belong to the selected date and UserID is removed, and represents the review number on the same day; the number of review times, the number of the logs of the log is retrieved; review duration/number is total review duration/total review number. It should be understood by those skilled in the art that the foregoing is only an example and is not intended to limit the technical solutions of the present embodiment.
And step 120, analyzing the characteristics of the review behavior of the user in the specified time according to the review record information. In this embodiment, the specific form and result of the analysis are not limited, for example, the analysis of the user behavior may be: analyzing the preference of a user for playing back a program within a specified time; the user has more review times of the program contents; how many users review the program within a specified time. In the prior art, only the whole time corresponding to the log can be analyzed, the push based on the analysis result of the whole time is often insufficient in pertinence, and the push is performed only in the specified time and the corresponding push is completed in the specified time according to the embodiment, so that the pertinence is higher; when the above analysis is completed, the content such as a television program or advertisement can be pushed to the user's television terminal at a designated time based on the analysis result.
As shown in fig. 2, in an embodiment of the present invention, a method for analyzing a behavior of a user reviewing program content is provided, including:
as shown in fig. 3, in an embodiment of the present invention, a method for analyzing a behavior of a user reviewing program content is provided, including:
And step 330, analyzing the characteristics of the review behavior of the user in the specified time according to the review record information. In this embodiment, the review behavior within the specified time has features such as: the ratio of the review times to the review number of the content of the specific channel in a certain day of the seven days of the user reflects the review preference of the user in the certain day.
As shown in fig. 4, in an embodiment of the present invention, an apparatus for analyzing a behavior of a user reviewing program content is provided, including:
the review record information obtaining module 410 obtains review record information of the user in the specified time from a preset content log, where the review record information is used to record corresponding information in the process of the user reviewing the program content in the specified time. In this embodiment, for a content log content view.log generated by a certain TV terminal, a ServiceType field in the log is equal to 3-TVOD (TV On Demand, which is a video content On Demand service), which indicates that the corresponding log content is review data; log information of lookback records includes, but is not limited to, the following: the review duration is EndTime-BeginTime; the length of the human review time (EndTime-BeginTime)/count (distint userid); the review number is a value obtained after BeginTime and EndTime belong to the selected date and UserID is removed, and represents the review number on the same day; the number of review times, the number of the logs of the log is retrieved; review duration/number is total review duration/total review number. It should be understood by those skilled in the art that the foregoing is only an example and is not intended to limit the technical solutions of the present embodiment.
And the analysis module 420 is used for analyzing the characteristics of the review behavior of the user in the specified time according to the review record information. In this embodiment, the specific form and result of the analysis are not limited, for example, the analysis of the user behavior may be: analyzing the preference of a user for playing back a program within a specified time; the user has more review times of the program contents; how many users review the program within a specified time. In the prior art, only the whole time corresponding to the log can be analyzed, the push based on the analysis result of the whole time is often insufficient in pertinence, and the push is performed only in the specified time and the corresponding push is completed in the specified time according to the embodiment, so that the pertinence is higher; when the above analysis is completed, the content such as a television program or advertisement can be pushed to the user's television terminal at a designated time based on the analysis result.
An embodiment of the present invention provides an apparatus for analyzing a behavior of a user for reviewing program content, including:
the review record information obtaining module 410 obtains review times of multiple review behaviors of the user from the content log, searches the review time matched with the specified time from the multiple review times, and takes review record information corresponding to the matched review time as review record information of the user within the specified time. The review record information includes a review time at which the user reviews the program content. In the present embodiment, the content log may have the start time and the end time as described above, and the review time for the user to review a plurality of times may be determined based on the start time and the end time.
The analysis module 420 calculates a time difference between the first playing time of the program content recorded in a preset second schedule and the review time of the user reviewing the program content; the second schedule is used to record the first-cast time of the plurality of program contents. And obtaining a plurality of time differences when the user reviews the program content for a plurality of times. In the present embodiment, it is assumed that the content log is contentview.log, in which the start time and the end time of the user reviewing a certain channel are recorded, from which the review time of the user can be determined; log, wherein the second time schedule is schedule, and the starting time and the ending time of the first broadcast of the program are recorded, so that the first broadcast time of the program can be determined, and the time difference can be obtained by comparing the review time with the first broadcast time, and under the condition that the unit of the review time and the first broadcast time is day, whether the user reviews the current day of the broadcast of the program or whether the user reviews the program content broadcast on the previous day or days can be judged: for example, if the first broadcast time is 8 months and 1 day, and the user's review time is 8 months and 4 days, it means that the user reviews the program 3 days ago.
The analysis module 420 counts review times corresponding to a specific time difference among the time differences and total review times corresponding to the time differences, and calculates a ratio of the review times to the total review times. In this embodiment, for example, taking the ratio of the review times of the user on the specific channel as an example, the review times of the previous day represents the review times of the content of the specific channel on the previous day when the user selects the review on the specific single day, and the review times of the next day represents the review times of the content of the specific channel on the two days before the user selects the review on the specific single day, the calculation of the ratio can be shown in the following table:
as shown in fig. 5, in an embodiment of the present invention, a method for analyzing a behavior of a user reviewing program content is provided, including:
the review record information obtaining module 510 obtains review record information of the user within the specified time from a preset content log, where the review record information is used to record corresponding information in a process that the user reviews the program content within the specified time. The review record information includes a content identification of the program content.
The program content determining module 520 searches a number identical to the identifier of the program content from a preset first timetable, and searches the name and/or channel of the program corresponding to the number in the first timetable according to the number as the program content; the first schedule is used for recording the names and/or channels of a plurality of programs and a plurality of corresponding numbers. Assuming that the content log is contentview.log, the first time table is schedule.log, returning schedule ecode of a review program as a value of a program identification MediaCode when ServiceType is 3, matching the number schedule ecode in the first time table schedule _ yymmdd.log file with the value of MediaCode, and taking the ChannelName field of the piece of data as the review channel name and the ProgramName field as the review program name if the value of MediaCode is equal to the value of the schedule ecode field in the schedule _ yymmdd.log file.
And the analysis module 530 is used for analyzing the characteristics of the review behavior of the user in the specified time according to the review record information. In this embodiment, the review behavior within the specified time has features such as: the ratio of the review times to the review number of the content of the specific channel in a certain day of the seven days of the user reflects the review preference of the user in the certain day.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the apparatus for analyzing the behavior of a user reviewing program content in accordance with embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (12)
1. A method for analyzing a user's behavior in reviewing program content, comprising:
obtaining review record information of a user in a specified time from a preset content log, wherein the review record information is used for recording corresponding information of the user in a process of reviewing program contents in the specified time, and the review record information comprises: content identification, review time length, per-capita review time length, review number of people, review times and average review time length corresponding to the program content;
analyzing characteristics of the review behavior of the user in the specified time according to the review record information so as to push television programs or advertisements to the user in the specified time based on the analysis result;
analyzing characteristics of the review behavior of the user in the specified time according to the review record information, wherein the characteristics comprise:
analyzing the preference of the user to review a plurality of program contents within the specified time according to the review record information; and/or
Analyzing the review times of the user reviewing each program content within the specified time according to the review record information; and/or
And analyzing the number of review persons reviewing each program content in the specified time according to the review record information.
2. The method according to claim 1, wherein the step of obtaining review record information of the user at a specific time from a preset content log comprises:
and obtaining the review time of the multiple review behaviors of the user from the content log, searching the review time matched with the specified time from the multiple review times, and taking review record information corresponding to the matched review time as the review record information of the user in the specified time.
3. The method of analyzing a user's behavior of reviewing program content as recited in claim 1, wherein said review record information comprises a content identification of said program content; the method further comprises the following steps:
searching a number which is the same as the content identifier from a preset first timetable, and searching the name and/or channel of the program corresponding to the number in the first timetable according to the number to serve as the program content; the first time schedule is used for recording the names and/or channels of a plurality of programs and a plurality of corresponding numbers.
4. The method of analyzing a user's behavior of reviewing program content as recited in claim 1, wherein said review record information includes a review time for said user to review said program content;
analyzing the characteristics of the review behavior of the user in the specified time, specifically comprising:
calculating a time difference between the first playing time of the program content recorded in a preset second timetable and the review time of the user reviewing the program content; the second schedule is used for recording the first playing time of a plurality of program contents.
5. The method of claim 4, wherein the user obtains a plurality of time differences when reviewing the program content a plurality of times;
analyzing the characteristics of the review behavior of the user in the specified time, specifically comprising:
and counting the review times corresponding to a specific time difference in the time differences and the total review times corresponding to the time differences, and calculating the ratio of the review times to the total review times.
6. An apparatus for analyzing a user's behavior in reviewing program content, comprising:
a review record information obtaining module, configured to obtain review record information of a user within a specified time from a preset content log, where the review record information is used to record corresponding information in a process of the user reviewing program content within the specified time, and the review record information includes: content identification, review time length, per-capita review time length, review number of people, review times and average review time length corresponding to the program content;
the analysis module is used for analyzing the characteristics of the review behavior of the user in the specified time according to the review record information so as to push television programs or advertisements to the user in the specified time based on the analysis result;
the analysis module is specifically configured to analyze, according to the review record information, preferences of the user for reviewing the plurality of program contents within the specified time; and/or analyzing the review times of the user reviewing each program content within the specified time according to the review record information; and/or analyzing the number of review persons reviewing each program content in the specified time according to the review record information.
7. The apparatus for analyzing behavior of a user reviewing program content as recited in claim 6, wherein the review record information obtaining module obtains review times of multiple review behaviors of the user from the content log, searches review times matching the specified time from the multiple review times, and uses review record information corresponding to the matched review times as review record information of the user within the specified time.
8. The apparatus for analyzing behavior of a user reviewing program content as recited in claim 6, wherein said review record information comprises a content identification of said program content; the device further comprises:
the program content determining module is used for searching a serial number which is the same as the content identifier in a preset first timetable, and searching the name and/or channel of the program corresponding to the serial number in the first timetable according to the serial number to be used as the program content; the first time schedule is used for recording the names and/or channels of a plurality of programs and a plurality of corresponding numbers.
9. The apparatus for analyzing behavior of a user reviewing program content as recited in claim 6, wherein said review record information comprises a review time of said user reviewing said program content; the analysis module calculates a time difference between the first playing time of the program content recorded in a preset second timetable and the review time of the user reviewing the program content; the second schedule is used for recording the first playing time of a plurality of program contents.
10. The apparatus for analyzing the behavior of a user reviewing program content as recited in claim 9, wherein said user reviews said program content a plurality of times resulting in a plurality of time differences; the analysis module also counts the review times corresponding to a specific time difference in the time differences and the total review times corresponding to the time differences, and calculates the ratio of the review times to the total review times.
11. A storage medium, comprising a stored program, wherein when the program is executed, the apparatus on which the storage medium is located is controlled to perform the method for analyzing the behavior of a user reviewing program content according to any one of claims 1 to 5.
12. A processor for executing a program, wherein the program when executed performs the method for analyzing the behavior of a user reviewing program content as claimed in any one of claims 1 to 5.
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| JP2011182462A (en) * | 2011-05-27 | 2011-09-15 | Casio Computer Co Ltd | Recording and reproducing apparatus, and program for the same |
| CN104584060A (en) * | 2012-06-25 | 2015-04-29 | 搜诺思公司 | Collecting and providing local playback system information |
| JP2015027044A (en) * | 2013-07-29 | 2015-02-05 | ソニー株式会社 | Information processor, information processing method and program |
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