CN109429104B - Family member analysis method and related device - Google Patents
Family member analysis method and related device Download PDFInfo
- Publication number
- CN109429104B CN109429104B CN201710786168.3A CN201710786168A CN109429104B CN 109429104 B CN109429104 B CN 109429104B CN 201710786168 A CN201710786168 A CN 201710786168A CN 109429104 B CN109429104 B CN 109429104B
- Authority
- CN
- China
- Prior art keywords
- program
- family
- watching
- programs
- family member
- 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.)
- Active
Links
Images
Classifications
-
- 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
- H04N21/4661—Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home
-
- 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
Abstract
The invention discloses a family member analysis method and a related device, wherein the method comprises the following steps: obtaining a first program list according to a matrix between a family watching program and family watching duration, and screening the first program list to obtain a second program list; respectively calculating the watching duration of the program corresponding to the program topic concerned by each specific family member in a preset time period and the proportion of the total watching duration of the program corresponding to the program topic concerned by the specific family member; and obtaining the distribution structure of the family members according to the calculation result. According to the analysis method and the related device for the family members, the program corresponding to each subject program is obtained according to the matrix between the family watching program and the family watching time length, the description information of the family watching program is not needed, and the problems that the calculation result of the family member structure is not accurate enough or the family member structure cannot be calculated due to the fact that the description information of the family watching program is not easy to obtain can be solved.
Description
Technical Field
The invention relates to the technical field of videos, in particular to a family member analysis method and a related device.
Background
In the field of video technology, it is necessary to analyze video users in order to provide more appropriate services. For the smart tv, users of the smart tv are family-based, and since viewing requirements of different members of a family user are different, in order to provide better tv service experience for each member of a family, the structure of the family members needs to be analyzed.
In the prior art, family member composition is mainly estimated by using family viewing data and description information of family viewing programs. Specifically, a program topic model is obtained through calculation according to description information of the family watching programs, a family watching model is obtained through calculation according to family watching data, a topic type of the programs watched by the family in each time slot is obtained according to the program topic model and the family watching model, and then the member structure of the family is judged.
However, since the description information of the program watched by the family is required in the process of calculating the program topic model, and the description information of the program is not easy to obtain, if the description information of the program watched by a family is not completely obtained, the calculation result of the member structure of the family is not accurate enough; moreover, if the description information of the program watched by a family is not obtained, the member structure of the family cannot be calculated.
Disclosure of Invention
In view of the above problems, the present invention has been made to provide a family member analysis method and related apparatus that overcome or at least partially solve the above problems.
A method of analyzing a family member, comprising:
obtaining a first program list according to a matrix between a family watching program and a family watching time length, wherein the first program list comprises programs corresponding to each program theme;
screening the first program list to obtain a second program list, wherein the second program list comprises programs corresponding to program topics concerned by specific family members;
respectively calculating the watching duration of a program corresponding to the program theme concerned by each specific family member in a preset time period, and calculating the proportion of the total watching duration of the program corresponding to the program theme concerned by the specific family member;
and obtaining the distribution structure of the family members according to the calculation result.
Optionally, the obtaining the first program list according to the matrix between the home viewing program and the home viewing duration includes:
performing matrix decomposition on the matrix between the family watching program and the family watching duration to obtain a matrix between the family watching program and the program theme;
and in the matrix between the family watching programs and the program topics, extracting the family watching programs with high weight in the family watching programs corresponding to each program topic, and taking the family watching programs as the programs corresponding to the program topics.
Optionally, the obtaining the distribution structure of the family members according to the calculation result includes:
and if the proportion of the total watching duration of the programs corresponding to the program topics concerned by the specific family members exceeds a preset threshold value, judging that the family members contain the specific family members, otherwise, judging that the family members do not contain the specific family members.
Optionally, if the specific family members include children and the elderly, the calculating the watching duration of the program corresponding to the program topic concerned by each specific family member in the preset time period, and the specific gravity of the total watching duration of the program corresponding to the program topic concerned by the specific family member includes:
calculating the watching duration of the programs of the attention class of the children during the rest time, and calculating the proportion of the total watching duration of the programs of the attention class of the children; alternatively, the first and second electrodes may be,
calculating the watching duration of the programs of the attention class of the children during the working time, and calculating the proportion of the total watching duration of the programs of the attention class of the children;
and calculating the watching time length of the programs of the old people attention class in the working time and the proportion of the total watching time length of the programs of the old people attention class.
Optionally, the calculating a ratio of the viewing duration of the programs in the attention class of the children during the working hours to the total viewing duration of the programs in the attention class of the children includes:
and calculating the watching duration of the programs of the children concern class in the working time of the non-cold and summer holiday, and the proportion of the total watching duration of the programs of the children concern class in the working time.
An analysis device for a family member, comprising:
the system comprises a first calculation unit, a second calculation unit and a display unit, wherein the first calculation unit is used for obtaining a first program list according to a matrix between a family watching program and a family watching time length, and the first program list comprises programs corresponding to program subjects;
the screening unit is used for screening the first program list to obtain a second program list, wherein the second program list comprises programs corresponding to program topics concerned by specific family members;
the second calculating unit is used for respectively calculating the watching time length of the program corresponding to the program theme concerned by each specific family member in a preset time period and the proportion of the total watching time length of the program corresponding to the program theme concerned by the specific family member;
and the judging unit is used for obtaining the distribution structure of the family members according to the calculation result.
Optionally, the first computing unit includes:
the decomposition unit is used for carrying out matrix decomposition on the matrix between the family watching program and the family watching time length to obtain a matrix between the family watching program and the program theme;
and the extraction unit is used for extracting the family watching program with high weight in the family watching programs corresponding to each program theme from the matrix between the family watching programs and the program themes, and taking the family watching program as the program corresponding to the program theme.
Optionally, the determining unit includes:
and the judging subunit is used for judging that the family member contains the specific family member when the proportion of the total watching time length of the program corresponding to the program topic concerned by the specific family member exceeds a preset threshold value, and otherwise, judging that the family member does not contain the specific family member.
A storage medium comprising a stored program, wherein the program, when executed, controls a device on which the storage medium is located to perform a method of analyzing a family member as set forth in any one of the above.
A processor for running a program, wherein the program when run performs the method of analysis of a family member as claimed in any one of the preceding claims.
By means of the technical scheme, in the family member analysis method and the related device, the program corresponding to each subject program is obtained according to the matrix between the family watching program and the family watching time, the description information of the family watching program is not needed, and the problems that the calculation result of the family member structure is not accurate enough or the family member structure cannot be calculated due to the fact that the description information of the family watching program is not easy to obtain can be solved.
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 is a flow chart illustrating a method for analyzing family members according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating the detailed contents of step S101 in the analysis method for family members according to another embodiment of the present invention;
FIG. 3 shows program lists corresponding to program topics Topic 0-Topic 19 disclosed in the embodiment of the present invention;
FIG. 4 is a schematic diagram showing the structure of an analysis device for family members disclosed in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of an analysis device for family members according to another embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The method for analyzing family members disclosed by the embodiment of the invention is shown in figure 1 and comprises the following steps:
s101, obtaining a first program list according to a matrix between a family watching program and family watching time; the first program list comprises programs corresponding to program subjects.
It should be noted that the matrix between the home viewing program and the home viewing duration may be constructed before step S101, and may be constructed in advance.
Specifically, the programs watched by the family and the watching duration of each program are obtained, and a matrix A is constructed by the programs watched by the family and the watching duration of each program; the matrix A is a matrix between the household watching programs and the household watching time duration, the matrix A is an m multiplied by n matrix, a row m represents each program, a column n represents each household, and the value of a certain column of a certain row in the matrix represents the time duration for watching a certain program by a certain household.
In addition, the matrix a can be constructed according to the ratio of the programs watched by the family to the viewing time of each program. Specifically, the ratio of the viewing time length of each program is the ratio of the viewing time length of each program to the total viewing time length of the households, a is also an m × n matrix, a row m represents each program, a column n represents each household, and a value of a column in a certain row in the matrix represents the ratio of the viewing time length of a certain program watched by a certain household.
The method comprises the steps of obtaining a first program list according to a matrix between home watching programs and home watching duration, specifically, classifying m programs watched by each home to obtain program topics of the m programs, determining programs corresponding to each program topic and watching duration of the programs, and forming the first program list by the programs corresponding to each program topic and the watching duration of the programs.
Optionally, in a specific implementation manner of step S101 disclosed in another embodiment of the present invention, referring to fig. 2, the step includes:
s1011, carrying out matrix decomposition on the matrix between the family watching program and the family watching time length to obtain the matrix between the family watching program and the program theme.
Performing matrix decomposition on a matrix A between a family watching program and a family watching time length according to a formula I to obtain a matrix U between the family watching program and a program theme;
formula one of a ═ u ∈ V
In the formula one, epsilon is an orthogonal matrix of k × k, V is a k × n matrix, U is an m × k matrix, m is the number of programs, n is the number of families, and k is a hidden factor of a program, i.e., a program theme.
Specifically, the matrix a may be decomposed by using an SVD matrix decomposition method, and of course, the matrix a may also be decomposed by using another matrix decomposition method, which is described by taking the SVD matrix decomposition method as an example. Specifically, the process of matrix decomposition is equivalent to a mining process of implicit factors of k programs, and can be understood as summarizing n programs into k program topics and then obtaining a matrix between the number of m programs and the number of k program topics.
And S1012, extracting the family watching programs with large weight in the family watching programs corresponding to each program theme from the matrix between the family watching programs and the program themes, and taking the family watching programs as the programs corresponding to the program themes.
In the matrix U between the family viewing programs and the program topics, the value of a certain column in a certain row represents the weight of a certain family viewing program belonging to a certain program topic. Specifically, in the matrix U, a weight value of each home viewing program corresponding to each program topic is searched, the weight value of each home viewing program is compared, and a larger weight value is used as a program corresponding to the program topic.
It should be noted that, when the family viewing program with the larger weight in the family viewing programs corresponding to the program topic is used as the program corresponding to the program topic, the first several family viewing programs sorted according to the order of the weight value may be extracted from the weights of all the family viewing programs corresponding to each program topic and used as the program corresponding to the program topic, and the specific first several family viewing programs may be set according to the actual situation. Of course, a threshold of the weight value may also be set, and the family watching program whose weight exceeds the threshold among all the family watching programs corresponding to each program theme is taken as the program corresponding to the program theme.
For example, in the first program list obtained by the above method, the program lists corresponding to the program topics Topic 0-Topic 19 are shown in fig. 3.
S102, screening the first program list to obtain a second program list; and the second program list comprises programs corresponding to the program subjects concerned by the specific family members.
Specifically, the first program list is screened by taking the requirement of attention of a selected specific family member as a screening condition, and the program subject belonging to attention of the specific family member in the first program list is selected to obtain a second program list.
Wherein the specific family member can be understood as a family member with specificity, such as: the old, children, etc. can easily determine whether a family member wraps the specific family member through the program because the concerned program is more specific.
Of course, it should be noted that a specific family member can also be set as a general member of a family, for example: although general members of families have a distinctive feature on a program viewed by the members, unlike a specific family member, the general members of different families also have a distinctive feature on the program viewed by the members, so that the distribution structure of a family on the members can be determined according to the program corresponding to the subject concerned by the members.
S103, respectively calculating the watching duration of the program corresponding to the program topic concerned by each specific family member in a preset time period, and calculating the proportion of the total watching duration of the program corresponding to the program topic concerned by the specific family member.
Specifically, the watching duration of each program in one family can be carried in the second program list, that is, in the process of obtaining the first program list and the second program list, the watching duration of the program corresponding to each program topic can be carried, or the occupation ratio of the watching duration is obtained. Of course, the watching duration of the corresponding program may also be obtained before or during the execution of this step. It should be further noted that the total viewing time length of the program corresponding to the topic of interest of a specific family member may be understood as a program corresponding to the topic of interest of a specific family member of a family, and the total viewing time length in the family, or may be understood as a program corresponding to the topic of interest of a specific family member of a family, and the total viewing time length in a time period in the family, where the time period should be greater than the preset time period mentioned in this step.
The watching duration of the program corresponding to the program subject concerned by a specific family member in a preset time period is obtained through calculation, the proportion of the total watching duration of the program corresponding to the program subject concerned by the specific family member can be obtained through analyzing the proportion obtained through calculation, whether the program corresponding to the program subject concerned by the specific family member exists in the preset time period of a family, and whether the family member contains the specific family member is further judged. It should be further noted that the preset time period is set as follows: through statistics of the viewing duration of the program corresponding to the program topic concerned by the specific family member in the time period, whether a family includes the specific family member can be reflected, that is, in a family, the time when the specific family member generally views the program corresponding to the program topic concerned by the specific family member is shown, for example: children typically watch programs between 18:00 and 20:00 of the day. Therefore, if the specific family member is a child, the time period may be set to a preset time period.
And S104, obtaining the distribution structure of the family members according to the calculation result.
In the method for analyzing family members disclosed in this embodiment, the program corresponding to each subject program is obtained according to the matrix between the family viewing program and the family viewing duration, and the description information of the family viewing program is not needed, so that the problem that the calculation result of the family member structure is not accurate enough or the family member structure cannot be calculated due to the fact that the description information of the family viewing program is not easy to obtain can be solved.
Optionally, in a specific implementation manner of step S104 disclosed in another embodiment of the present invention, the step includes:
judging whether the watching duration of the program corresponding to the program topic concerned by the specific family member in a preset time period and the proportion of the total watching duration of the program corresponding to the program topic concerned by the specific family member exceed a preset threshold value or not;
if the specific gravity exceeds a preset threshold value, judging that the family members contain the specific family members; otherwise, the specific family member is determined not to be included in the family members.
The specific value of the preset threshold value is required to be larger if the specific proportion of the total watching duration of the programs corresponding to the program subjects concerned by the specific family member is larger, and the judgment result of whether the specific family member exists in one family is more accurate, so that the specific value of the preset threshold value can be set according to the setting principle by combining with the actual situation.
Alternatively, in another embodiment of the present invention, the steps S103 and S104 are described in detail by taking specific family members including children and the elderly as examples.
If the specific family member is a child, in one embodiment, steps S103 and S104 specifically include:
and calculating the watching duration of the programs of the attention class of the children at the rest time, and the proportion of the total watching duration of the programs of the attention class of the children.
If the watching duration of the programs of the children concern category in the rest time exceeds the specific gravity of the total watching duration of the programs of the children concern category, determining that the family members contain children; otherwise, it is determined that the family member does not include a child.
In the present embodiment, the time of day may be divided into the working time (08:00-18:00), the resting time (18:00-22:00) and the sleeping time (22:00-08:00), the watching duration of the programs of the children attention class at the resting time in the resting time is calculated, and if the calculated specific gravity exceeds the threshold value, it is indicated that in the family, the programs of the children attention class are watched at the resting time for the most part, and it is reflected that there is a child in the family, and the possibility that the child is a student is high.
Alternatively, in order to further determine the accurate determination result, the dates may be divided into weekdays, holidays including weekends and legal holidays, and a rest time may be set according to the different dates.
In this case, the watching duration of the program of the attention class of the children at the rest time is calculated, and the proportion of the total watching duration of the program of the attention class of the children may be:
and calculating the watching duration of the programs of the attention class of the children in the rest time of the non-cold and summer holiday, and the proportion of the total watching duration of the programs of the attention class of the children.
If the proportion of the watching duration of the programs in the children attention class to the total watching duration of the programs in the children attention class in the time period of the rest time of the non-cold and summer holiday working days exceeds a threshold (for example, 0.9), the existence of students in the family can be further indicated.
In another specific embodiment, steps S103 and S104 specifically include:
and calculating the watching time length of the programs of the attention class of the children during working hours, and the proportion of the total watching time length of the programs of the attention class of the children.
If the watching duration of the programs of the children concern category in the rest time exceeds the specific gravity of the total watching duration of the programs of the children concern category, determining that the family members contain children; otherwise, it is determined that the family member does not include a child.
In this embodiment, if the specific gravity of the watching duration of the programs in the children attention class to the total watching duration of the programs in the children attention class also exceeds the threshold during the working hours, it indicates that a family also has a long time to watch the programs in the children attention class during the working hours, and that the family has a high possibility of including preschool children.
Similarly, in order to determine the accuracy of the result, the watching duration of the working hours of the programs of the children attention class on the day of the holidays in summer and winter may be calculated, and the proportion of the total watching duration of the programs of the children attention class may be calculated. In this case, if the watching duration of the programs in the children attention class in the working hours of the cold and hot holidays exceeds the preset threshold, it is indicated that the family contains the child and the child may be a student.
Optionally, in order to further enhance the accuracy of the determination result, it may further be configured to: the calculating the proportion of the watching duration of the programs of the attention class of the children in the working time to the total watching duration of the programs of the attention class of the children comprises the following steps:
and calculating the watching duration of the programs of the children concern class in the working time of the non-cold and summer holiday, and the proportion of the total watching duration of the programs of the children concern class in the working time.
By comparing the watching time of the programs of the children concern class in the working time of the working day in the cold and hot holidays with the total watching time in the working time, the watching condition of the programs of the children concern class in the working time of the working day in the cold and hot holidays can be seen, if the watching time is long, the specific gravity is high, and the condition that preschool children exist in families can be indicated.
It should be noted that, in addition to one scheme disclosed in the above two embodiments, steps S103 and S104 may also both implement the scheme of the two embodiments, and the order of implementing the two embodiments is not required.
If the specific family member is the elderly, in an embodiment, the steps S103 and S104 specifically include:
and calculating the watching time length of the programs of the old people attention class in the working time and the proportion of the total watching time length of the programs of the old people attention class.
If the specific gravity of the total watching time of the programs of the old people concern class exceeds a preset threshold value, judging that the family members contain the old people; otherwise, the old man is judged not to be included in the family members.
In this embodiment, if the specific gravity of the watching duration of the program in the old people attention class to the total watching duration of the program in the old people attention class also exceeds the threshold during the working hours, it indicates that a family has a very long time to watch the program in the old people attention class during the working hours, and that the family has a high possibility of including the old people.
Similarly, in order to determine the accuracy of the result, the watching duration of the program of the old people interest class in the working hours of the non-summer and summer holiday can be calculated, and the proportion of the total watching duration of the program of the old people interest class can be calculated.
In the above embodiments, the threshold value may be set in accordance with different situations, and the description is not focused on the details corresponding to the above embodiments.
Another embodiment of the present invention further discloses an analysis apparatus for family members, as shown in fig. 4, including:
the first calculating unit 301 is configured to obtain a first program list according to a matrix between a home viewing program and a home viewing duration, where the first program list includes a program corresponding to each program topic;
a screening unit 302, configured to screen the first program list to obtain a second program list, where the second program list includes a program corresponding to a program topic concerned by a specific family member;
a second calculating unit 303, configured to calculate, respectively, viewing durations of programs corresponding to the program topics that are paid attention to by each specific family member in a preset time period, and a specific gravity of a total viewing duration of the programs corresponding to the program topics that are paid attention to by the specific family member;
and the determining unit 304 is configured to obtain the distribution structure of the family members according to the calculation result.
In the device for analyzing family members disclosed in this embodiment, the first calculating unit obtains the program corresponding to each subject program according to the matrix between the family viewing program and the family viewing duration, without the description information of the family viewing program, and can solve the problem that the calculation result of the family member structure is not accurate enough or the family member structure cannot be calculated due to the fact that the description information of the family viewing program is not easy to obtain.
For a specific working process of each unit disclosed in this embodiment, reference may be made to the method embodiment corresponding to fig. 1, which is not described herein again.
Optionally, in another embodiment of the present invention, referring to fig. 5, the first calculating unit 301 includes:
the decomposition unit 3011 is configured to perform matrix decomposition on the matrix between the home viewing program and the home viewing duration to obtain a matrix between the home viewing program and the program theme;
the extracting unit 3012 is configured to extract, from the matrix between the family viewing programs and the program topics, a family viewing program with a high weight in the family viewing programs corresponding to each program topic, and use the family viewing program as the program corresponding to the program topic.
For specific working processes of each unit disclosed in this embodiment, reference may be made to the contents in the specific implementation manner of step S101 in the embodiment of the method corresponding to fig. 1, which is not described herein again.
Optionally, in another embodiment of the present invention, referring also to fig. 5, the determining unit 304 includes:
a determining subunit 3041, configured to determine that a family member includes the specific family member when the specific gravity of the total viewing duration of the program corresponding to the program topic concerned by the specific family member exceeds a preset threshold, and otherwise, determine that the family member does not include the specific family member.
For specific working processes of each unit disclosed in this embodiment, reference may be made to the contents in the specific implementation manner of step S104 in the method embodiment corresponding to fig. 1, which is not described herein again.
Optionally, in another embodiment of the present invention, referring also to fig. 5, in a case that the specific family members in the second program list obtained by the filtering unit 302 include children and old people, the second calculating unit 303 includes:
a first calculating subunit 3031, configured to calculate a watching duration of a program in a category of interest of the children during the rest time, and a specific gravity of a total watching duration of the program in the category of interest of the children; or calculating the watching duration of the programs of the attention class of the children during the working time, and the proportion of the total watching duration of the programs of the attention class of the children;
a second calculating subunit 3032, configured to calculate a specific gravity of the watching duration of the program in the old people interest category during the working time, and the total watching duration of the program in the old people interest category.
For specific working processes of each unit disclosed in this embodiment, reference may be made to contents of several specific embodiments of steps S103 and S104 in the method embodiment, and details are not described here again.
The analysis device for the family members comprises a processor and a memory, wherein the first calculating unit, the screening unit, the second calculating unit, the judging unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, the analysis process of family members is realized by adjusting kernel parameters, and the problem that in the prior art, because the description information of the family watching program is not easy to obtain, the calculation result is inaccurate or the calculation is failed when the member structure of the family is calculated is solved.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, the program implementing the analysis method of the family member when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program executes the analysis method of the family member when running.
The embodiment of the invention provides equipment, and the equipment can be a server, a PC, a PAD, a mobile phone and the like. The device comprises a processor, a memory and a program stored on the memory and capable of running on the processor, and the processor realizes the following steps when executing the program:
obtaining a first program list according to a matrix between a family watching program and a family watching time length, wherein the first program list comprises programs corresponding to each program theme;
screening the first program list to obtain a second program list, wherein the second program list comprises programs corresponding to program topics concerned by specific family members;
respectively calculating the watching duration of a program corresponding to the program theme concerned by each specific family member in a preset time period, and calculating the proportion of the total watching duration of the program corresponding to the program theme concerned by the specific family member;
and obtaining the distribution structure of the family members according to the calculation result.
Optionally, the obtaining the first program list according to the matrix between the home viewing program and the home viewing duration includes:
performing matrix decomposition on the matrix between the family watching program and the family watching duration to obtain a matrix between the family watching program and the program theme;
and in the matrix between the family watching programs and the program topics, extracting the family watching programs with high weight in the family watching programs corresponding to each program topic, and taking the family watching programs as the programs corresponding to the program topics.
Optionally, the obtaining the distribution structure of the family members according to the calculation result includes:
and if the proportion of the total watching duration of the programs corresponding to the program topics concerned by the specific family members exceeds a preset threshold value, judging that the family members contain the specific family members, otherwise, judging that the family members do not contain the specific family members.
Optionally, if the specific family members include children and the elderly, the calculating the watching duration of the program corresponding to the program topic concerned by each specific family member in the preset time period, and the specific gravity of the total watching duration of the program corresponding to the program topic concerned by the specific family member includes:
calculating the watching duration of the programs of the attention class of the children during the rest time, and calculating the proportion of the total watching duration of the programs of the attention class of the children; alternatively, the first and second electrodes may be,
calculating the watching duration of the programs of the attention class of the children during the working time, and calculating the proportion of the total watching duration of the programs of the attention class of the children;
and calculating the watching time length of the programs of the old people attention class in the working time and the proportion of the total watching time length of the programs of the old people attention class.
Optionally, the calculating a ratio of the viewing duration of the programs in the attention class of the children during the working hours to the total viewing duration of the programs in the attention class of the children includes:
and calculating the watching duration of the programs of the children concern class in the working time of the non-cold and summer holiday, and the proportion of the total watching duration of the programs of the children concern class in the working time.
The invention also provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
obtaining a first program list according to a matrix between a family watching program and a family watching time length, wherein the first program list comprises programs corresponding to each program theme;
screening the first program list to obtain a second program list, wherein the second program list comprises programs corresponding to program topics concerned by specific family members;
respectively calculating the watching duration of a program corresponding to the program theme concerned by each specific family member in a preset time period, and calculating the proportion of the total watching duration of the program corresponding to the program theme concerned by the specific family member;
and obtaining the distribution structure of the family members according to the calculation result.
Optionally, the obtaining the first program list according to the matrix between the home viewing program and the home viewing duration includes:
performing matrix decomposition on the matrix between the family watching program and the family watching duration to obtain a matrix between the family watching program and the program theme;
and in the matrix between the family watching programs and the program topics, extracting the family watching programs with high weight in the family watching programs corresponding to each program topic, and taking the family watching programs as the programs corresponding to the program topics.
Optionally, the obtaining the distribution structure of the family members according to the calculation result includes:
and if the proportion of the total watching duration of the programs corresponding to the program topics concerned by the specific family members exceeds a preset threshold value, judging that the family members contain the specific family members, otherwise, judging that the family members do not contain the specific family members.
Optionally, if the specific family members include children and the elderly, the calculating the watching duration of the program corresponding to the program topic concerned by each specific family member in the preset time period, and the specific gravity of the total watching duration of the program corresponding to the program topic concerned by the specific family member includes:
calculating the watching duration of the programs of the attention class of the children during the rest time, and calculating the proportion of the total watching duration of the programs of the attention class of the children; alternatively, the first and second electrodes may be,
calculating the watching duration of the programs of the attention class of the children during the working time, and calculating the proportion of the total watching duration of the programs of the attention class of the children;
and calculating the watching time length of the programs of the old people attention class in the working time and the proportion of the total watching time length of the programs of the old people attention class.
Optionally, the calculating a ratio of the viewing duration of the programs in the attention class of the children during the working hours to the total viewing duration of the programs in the attention class of the children includes:
and calculating the watching duration of the programs of the children concern class in the working time of the non-cold and summer holiday, and the proportion of the total watching duration of the programs of the children concern class in the working time.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (8)
1. A method for analyzing family members, comprising:
obtaining a first program list according to a matrix between a family watching program and a family watching time length, wherein the first program list comprises programs corresponding to each program theme;
screening the first program list by taking the requirement of attention of a selected specific family member as a screening condition to obtain a second program list, wherein the second program list comprises programs corresponding to the program subjects of attention of the specific family member;
respectively calculating the proportion of the watching duration of the program corresponding to the program theme concerned by each specific family member in the total watching duration of the program corresponding to the program theme concerned by the specific family member in a preset time period, wherein the setting principle of the preset time period is as follows: whether a family contains the specific family member can be reflected through statistics of watching duration of the program corresponding to the program topic concerned by the specific family member in the time period;
obtaining the distribution structure of family members according to the calculation result;
wherein, the obtaining of the first program list according to the matrix between the family watching program and the family watching time duration comprises:
performing matrix decomposition on the matrix between the family watching program and the family watching duration to obtain a matrix between the family watching program and the program theme;
and in the matrix between the family watching programs and the program topics, extracting the family watching programs with high weight in the family watching programs corresponding to each program topic, and taking the family watching programs as the programs corresponding to the program topics.
2. The method of claim 1, wherein obtaining the distribution structure of the family members according to the calculation result comprises:
and if the proportion of the watching duration of the program corresponding to the program topic concerned by the specific family member in the total watching duration of the program corresponding to the program topic concerned by the specific family member exceeds a preset threshold, judging that the family member contains the specific family member, and otherwise, judging that the family member does not contain the specific family member.
3. The method according to any one of claims 1 to 2, wherein if the specific family members include children and the elderly, the calculating the specific gravity of the watching duration of the program corresponding to the program topic focused by each specific family member in the total watching duration of the program corresponding to the program topic focused by the specific family member in the preset time period comprises:
calculating the proportion of the watching duration of the programs of the attention class of the children to the total watching duration of the programs of the attention class of the children; alternatively, the first and second electrodes may be,
calculating the proportion of the watching duration of the programs of the attention class of the children to the total watching duration of the programs of the attention class of the children during the working time;
and calculating the proportion of the watching time length of the program of the old people attention class in the total watching time length of the program of the old people attention class during the working time.
4. The method of claim 3, wherein said calculating a proportion of a duration of viewing of said programs of said attention class during working hours to a total duration of viewing of said programs of said attention class comprises:
and calculating the proportion of the watching duration of the programs of the attention class of the children in the working time of the non-cold and summer holiday in the total watching duration of the programs of the attention class of the children in the working time.
5. An analysis device for a family member, comprising:
the system comprises a first calculation unit, a second calculation unit and a display unit, wherein the first calculation unit is used for obtaining a first program list according to a matrix between a family watching program and a family watching time length, and the first program list comprises programs corresponding to program subjects;
the screening unit is used for screening the first program list by taking a requirement for selecting the attention of a specific family member as a screening condition to obtain a second program list, wherein the second program list comprises programs corresponding to the program subjects concerned by the specific family member;
a second calculating unit, configured to calculate a specific gravity of a viewing duration of a program corresponding to a program topic focused by each specific family member in a preset time period to a total viewing duration of the program corresponding to the program topic focused by the specific family member, where a setting rule of the preset time period is as follows: whether a family contains the specific family member can be reflected through statistics of watching duration of the program corresponding to the program topic concerned by the specific family member in the time period;
the judging unit is used for obtaining the distribution structure of the family members according to the calculation result;
wherein the first computing unit includes:
the decomposition unit is used for carrying out matrix decomposition on the matrix between the family watching program and the family watching time length to obtain a matrix between the family watching program and the program theme;
and the extraction unit is used for extracting the family watching program with high weight in the family watching programs corresponding to each program theme from the matrix between the family watching programs and the program themes, and taking the family watching program as the program corresponding to the program theme.
6. The apparatus according to claim 5, wherein the determination unit includes:
and the judging subunit is used for judging that the family member contains the specific family member if the proportion of the watching duration of the program corresponding to the program topic concerned by the specific family member in the total watching duration of the program corresponding to the program topic concerned by the specific family member exceeds a preset threshold value, and otherwise, judging that the family member does not contain the specific family member.
7. A storage medium characterized in that it comprises a stored program, wherein the device on which the storage medium is located is controlled to perform the analysis method of a family member according to any one of claims 1 to 4 when the program is run.
8. An electronic device, comprising a processor and a memory, the memory storing a program executable on the processor, wherein the program when executed performs the method of analysis of a family member as claimed in any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710786168.3A CN109429104B (en) | 2017-09-04 | 2017-09-04 | Family member analysis method and related device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710786168.3A CN109429104B (en) | 2017-09-04 | 2017-09-04 | Family member analysis method and related device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109429104A CN109429104A (en) | 2019-03-05 |
| CN109429104B true CN109429104B (en) | 2021-01-26 |
Family
ID=65513401
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710786168.3A Active CN109429104B (en) | 2017-09-04 | 2017-09-04 | Family member analysis method and related device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109429104B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111225282B (en) * | 2019-12-30 | 2021-04-02 | 重庆特斯联智慧科技股份有限公司 | Video information recommendation method and system based on big data and readable storage medium |
| CN111601171A (en) * | 2020-05-21 | 2020-08-28 | 广州欢网科技有限责任公司 | Method, device and controller for positioning family members of smart television |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1737151A2 (en) * | 2005-06-22 | 2006-12-27 | Lee S. Weinblatt | Fingerprint-based technique for surveying an audience |
| CN103533393A (en) * | 2013-09-17 | 2014-01-22 | 上海交通大学 | Family analyzing and program recommending method based on family watching records |
| TW201530456A (en) * | 2014-01-23 | 2015-08-01 | Chunghwa Telecom Co Ltd | Dynamic evaluation method of IPTV personalized qualitative audience rating |
| CN105095516A (en) * | 2015-09-16 | 2015-11-25 | 中国传媒大学 | Broadcast television subscriber grouping system and method based on spectral clustering integration |
| CN105430504A (en) * | 2015-11-27 | 2016-03-23 | 中国科学院深圳先进技术研究院 | Family member mix identification method and system based on television watching log mining |
| CN105516810A (en) * | 2015-12-04 | 2016-04-20 | 山东大学 | Television user family member analysis method based on LDA (Latent Dirichlet Allocation) model |
| CN106658091A (en) * | 2016-12-01 | 2017-05-10 | 北京学之途网络科技有限公司 | TV viewing information processing method and device |
-
2017
- 2017-09-04 CN CN201710786168.3A patent/CN109429104B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1737151A2 (en) * | 2005-06-22 | 2006-12-27 | Lee S. Weinblatt | Fingerprint-based technique for surveying an audience |
| CN103533393A (en) * | 2013-09-17 | 2014-01-22 | 上海交通大学 | Family analyzing and program recommending method based on family watching records |
| TW201530456A (en) * | 2014-01-23 | 2015-08-01 | Chunghwa Telecom Co Ltd | Dynamic evaluation method of IPTV personalized qualitative audience rating |
| CN105095516A (en) * | 2015-09-16 | 2015-11-25 | 中国传媒大学 | Broadcast television subscriber grouping system and method based on spectral clustering integration |
| CN105430504A (en) * | 2015-11-27 | 2016-03-23 | 中国科学院深圳先进技术研究院 | Family member mix identification method and system based on television watching log mining |
| CN105516810A (en) * | 2015-12-04 | 2016-04-20 | 山东大学 | Television user family member analysis method based on LDA (Latent Dirichlet Allocation) model |
| CN106658091A (en) * | 2016-12-01 | 2017-05-10 | 北京学之途网络科技有限公司 | TV viewing information processing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109429104A (en) | 2019-03-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108521439B (en) | Message pushing method and device | |
| CN109819284B (en) | Short video recommendation method and device, computer equipment and storage medium | |
| CN109145210B (en) | Information recommendation method and device and storage medium | |
| US20130297611A1 (en) | Method and apparatus for providing temporal context for recommending content for consumption by a user device | |
| CN103686237A (en) | Method and system for recommending video resource | |
| CN110727868B (en) | Object recommendation method, device and computer-readable storage medium | |
| US9367211B1 (en) | Interface tab generation | |
| US20180307733A1 (en) | User characteristic extraction method and apparatus, and storage medium | |
| CN108243032B (en) | Method, device and equipment for acquiring service level information | |
| US20140379808A1 (en) | Download resource recommendation method, system and storage medium | |
| US11907817B2 (en) | System and methods for machine learning training data selection | |
| CN102741827A (en) | Information processing device | |
| CN109429104B (en) | Family member analysis method and related device | |
| CN108881968B (en) | Network video advertisement putting method and system | |
| CN109688178A (en) | Recommended method, device and equipment | |
| CN108764021B (en) | Cheating video identification method and device | |
| CN107451140B (en) | Method and device for determining user preference degree | |
| CN115659045A (en) | User operation identification method and device, storage medium and electronic equipment | |
| CN115495642A (en) | Recommendation method, device, equipment and storage medium | |
| US11838600B2 (en) | System and method for modelling access requests to multi-channel content sharing platforms | |
| CN113010795A (en) | User dynamic portrait generation method, system, storage medium and electronic device | |
| CN109561350B (en) | User interest degree evaluation method and system | |
| CN111291174A (en) | Block chain-based online reading article information sorting method, device and medium | |
| US9465871B1 (en) | External verification of content popularity | |
| CN108509459B (en) | Data processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 100080 No. 401, 4th Floor, Haitai Building, 229 North Fourth Ring Road, Haidian District, Beijing Applicant after: Beijing Guoshuang Technology Co.,Ltd. Address before: 100086 Beijing city Haidian District Shuangyushu Area No. 76 Zhichun Road cuigongfandian 8 layer A Applicant before: Beijing Guoshuang Technology Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |