CN110809190B - Method and device for matching user roles based on smart television and server - Google Patents
Method and device for matching user roles based on smart television and server Download PDFInfo
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- CN110809190B CN110809190B CN201810885800.4A CN201810885800A CN110809190B CN 110809190 B CN110809190 B CN 110809190B CN 201810885800 A CN201810885800 A CN 201810885800A CN 110809190 B CN110809190 B CN 110809190B
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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
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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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
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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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
- H04N21/4661—Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home
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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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- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention is suitable for the technical field of intelligent televisions and provides a method, a device and a terminal for matching user roles based on an intelligent television.
Description
Technical Field
The invention belongs to the technical field of smart televisions, and particularly relates to a method, a device and a server for matching user roles based on a smart television.
Background
With the development of smart televisions and the internet, users tend to request television programs autonomously rather than passively, but sometimes the users do not determine what to watch or find television programs suitable for their tastes from a large number of television programs, so that a recommendation system is expected to automatically recommend desirable television programs.
In the prior art, a personal account needs to be established for each user watching television, so as to record personal history television program information watched by the user independently, and report the personal account and the personal history television program information to a recommendation server, so that the recommendation server recommends a television program for the user. However, one family generally has only one account, and different family members all use the account to watch television programs, so that the existing recommendation algorithm cannot be well matched with different user roles because the watching habits or using behaviors of different family members are different, and thus, suitable television programs cannot be accurately recommended for different user roles in different families.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and a terminal for matching user roles based on a smart television, so as to solve the problem that different television programs cannot be accurately recommended to different home user roles due to low matching accuracy of existing home user roles.
The first aspect of the embodiments of the present invention provides a method for matching a user role based on a smart television, including:
receiving current behavior information of a user uploaded when the intelligent television terminal is started;
calculating the role index of the current user through a role adaptation algorithm according to the historical behavior information corresponding to the user to which the current behavior information belongs;
and when the role index of the current user changes, updating the role index of the current user according to the calculated role index.
A second aspect of the embodiments of the present invention provides a device for matching a user role based on a smart television, including:
the current behavior information receiving unit is used for receiving the current behavior information of the user, which is uploaded when the intelligent television terminal is started;
the role index calculation unit is used for calculating the role index of the current user through a role adaptation algorithm according to the historical behavior information corresponding to the user to which the current behavior information belongs;
and the first role index updating unit is used for updating the role index of the current user according to the calculated role index when the role index of the current user changes.
A third aspect of an embodiment of the present invention provides a terminal, including:
the method comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the steps of the method for matching user roles based on the smart television provided by the first aspect of the embodiment of the present invention.
Wherein the computer program comprises:
the current behavior information receiving unit is used for receiving the current behavior information of the user, which is uploaded when the intelligent television terminal is started;
the role index calculation unit is used for calculating the role index of the current user through a role adaptation algorithm according to the historical behavior information corresponding to the user to which the current behavior information belongs;
and the first role index updating unit is used for updating the role index of the current user according to the calculated role index when the role index of the current user changes.
A fourth aspect of the present invention provides a computer-readable storage medium, which stores a computer program, where the computer program, when executed by a processor, implements the steps of the method for matching user roles based on a smart television, provided by the first aspect of the present invention.
Wherein the computer program comprises:
the current behavior information receiving unit is used for receiving the current behavior information of the user, which is uploaded when the intelligent television terminal is started;
the role index calculation unit is used for calculating the role index of the current user through a role adaptation algorithm according to the historical behavior information corresponding to the user to which the current behavior information belongs;
and the first role index updating unit is used for updating the role index of the current user according to the calculated role index when the role index of the current user changes.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: the method comprises the steps of receiving current behavior information of a user uploaded by an intelligent television terminal when the intelligent television terminal is started, calculating a role index of the current user through a role adaptation algorithm according to historical behavior information corresponding to the user according to the current behavior information, and updating the role index of the current user according to the calculated role index when the role index of the current user changes so as to match corresponding role indexes for different user roles of different families, thereby determining different user roles according to the role indexes and recommending proper television programs for different user roles in different families more accurately.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart illustrating an implementation of a method for matching user roles based on a smart television according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating an implementation of a method for obtaining historical behavior information corresponding to a current user according to an embodiment of the present invention;
fig. 3 is a flowchart of a specific implementation of a method for calculating a role index of a current user through a role adaptation algorithm according to an embodiment of the present invention;
fig. 4 is a specific implementation flow of a method for updating a user role index according to an embodiment of the present invention;
fig. 5 is a flowchart of a specific implementation of a method for calculating a role index of a current user according to current behavior information according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an apparatus for matching user roles based on a smart television according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to describe the technical solution of the present invention, a specific embodiment is described below, in which an execution subject of the technical solution of the present invention is an API server. Referring to fig. 1, fig. 1 shows an implementation flow of a method for matching user roles based on a smart television according to an embodiment of the present invention, which is detailed as follows:
in step S101, current behavior information of the user uploaded when the smart television terminal is turned on is received.
In the embodiment of the present invention, when the smart television terminal is turned on, the current user role of the smart television terminal is determined according to the current behavior information of the user, for example, after the current user role is determined to be a registered user, the current behavior information of the user is uploaded to an Application Programming Interface (API) server, so that the API server updates the role index of the current user according to the received current behavior information.
The method comprises the steps that the current user role of the intelligent television terminal is confirmed, the role authorization link request information is sent to an API server through an HTTP protocol through an intelligent television terminal user center application program, so that the API server can conveniently determine whether the current user role of the intelligent television terminal is a registered user according to the role authorization link request information, whether the current user role index of the intelligent television terminal needs to be updated is further confirmed, and television programs which are more accurate and accord with the taste of the user role can be provided for the user.
The role authorization link request information includes, but is not limited to, information such as a user name, a gender, an age, a terminal unique identifier, and a region, and is mainly data for describing a user behavior and a user characteristic.
The user of the intelligent television terminal is a home user and comprises at least one user role, and each user role is matched with a corresponding role index. It can be understood that even for the same user role, the role index may change in different time periods due to the preference of the user, and it needs to determine whether to update the role index of the user according to the behavior information of the user, so that the television program meeting the requirement of the user can be recommended to the user better and more accurately according to the provided role index.
In step S102, a role index of the current user is calculated through a role adaptation algorithm according to historical behavior information corresponding to the user to which the current behavior information belongs.
In the embodiment of the present invention, the current behavior information further includes role authorization link request information, where the role authorization link request information is specifically a link request for performing role authorization on a current user of the smart television terminal, and is used to perform data matching analysis on the current user to determine whether an account to which the current user belongs is a registered account.
Optionally, after step S101, an embodiment of the present invention provides a specific implementation step of the method for acquiring historical behavior information corresponding to a current user, as shown in fig. 2, and the detailed step is as follows:
in step S201, it is determined whether the account to which the current user belongs is a registered account according to the role authorization link request information.
In the embodiment of the present invention, step S201 specifically includes:
and the API server determines whether the intelligent television terminal which carries out the role authorization link request currently and/or the account number of the user to which the current user belongs meet the preset role terminal identification conditions or not according to the role authorization link request information so as to determine whether the account number to which the current user belongs is a registered account number or not.
Optionally, the preset role terminal identification condition includes:
the intelligent television terminal has a unique identification machine serial number;
the user account logged in by the intelligent television terminal is an account bound with a mobile phone number of a domestic operator;
the access area of the intelligent television terminal is the area to which the control area list belongs;
the model of the intelligent television terminal must be a model to which a control model list belongs;
and the behavior data of the account registered by the intelligent television terminal user in the previous day is more than the fourth preset times, and the account is recorded on and off.
When the API server determines that the smart television terminal which currently performs the role authorization link request and/or the account number of the user to which the current user belongs do not meet any preset role terminal identification condition, it is determined that the account number to which the current user belongs is not the registered account number.
It can be understood that, only when the account to which the current user belongs is determined to be the registered account, the API server further determines whether the role index of the current user needs to be updated, and the range of whether the role index of the user needs to be updated can be further narrowed down, so as to improve the accuracy and efficiency of updating the role index, and thus, different users in different families can be accurately provided with appropriate television programs.
In step S202, when the current user is determined to be a registered user according to the role authorization link request information, comparing the current behavior information with the data primary key identifier in the memory database to obtain historical behavior information corresponding to the current user.
In the embodiment of the present invention, the data primary key identifier includes, but is not limited to, an operation identifier, an account identifier, a terminal identifier of the smart television terminal, and the like. Here, the memory of the API server stores historical behavior information of different user roles of different families, and after comparing the current behavior information with the data primary key identifier in the memory database, the obtained historical behavior information corresponding to the current user includes historical behavior information corresponding to at least one user role.
Optionally, an embodiment of the present invention provides specific implementation steps of a method for calculating a role index of a current user through a role adaptation algorithm, as shown in fig. 3, which are detailed as follows:
in step S301, it is determined whether the current user meets a preset role adaptation condition according to the historical behavior information.
In this embodiment of the present invention, the preset role adaptation condition includes:
the historical behavior information comprises that the accumulated operation times of the user in a first preset time are greater than a first preset time, and the intelligent television terminal has a startup and shutdown record;
the historical behavior information comprises that the accumulated operation times of the user in the second preset time is greater than the second preset times, the continuous operation times are greater than the third preset times, and the intelligent television terminal is provided with a startup and shutdown record.
In the embodiment of the present invention, the first preset time and the second preset time may be the same time period, for example, both are within a week, within a month, etc.; or different time periods, for example, the first preset time is within 7 days, and the second preset time is within 3 weeks. For example, the preset role adaptation condition specifically includes:
the historical behavior information comprises that the accumulated operation times of the user in one week are greater than a first preset time, and the intelligent television terminal has a startup and shutdown record;
the historical behavior information comprises that the accumulated operation times of the user in one week are larger than a second preset time, the continuous operation times are larger than a third preset time, and the intelligent television terminal is recorded with startup and shutdown.
And when the current user does not meet any one of the preset role adaptation conditions, determining that the current user does not meet the preset role adaptation conditions, and not calculating the role index of the current user. In order to meet the diversified requirements of users and facilitate the users to change the role indexes by themselves to obtain better experience, at this time, a related interface for receiving the role index promotion request input by the users can be displayed on a screen of the smart television terminal, so that the role indexes of the current users can be updated according to the input of the users, and the user experience is further promoted.
In an application scenario, when the cumulative operation times of the user a in one week is two times, the command for executing the role adaptation request is not satisfied to calculate a suitable role index for the user a, the role index of the user a is not changed or a new role index is given to the user a, when the cumulative operation times of the user a in one week is more than two times, the command for executing the role adaptation request is satisfied to calculate a suitable role index for the user a, and whether to update the role index of the user a is determined according to the calculated role index.
Optionally, an embodiment of the present invention provides specific implementation steps of the method for updating a user role index, as shown in fig. 4, which are detailed as follows:
in step S401, role index promotion request information of a user is received, where the role index promotion request information includes a request for promoting a role index.
In the embodiment of the present invention, the role index promotion request information specifically includes request information for promoting the current role index by the user, that is, the user inputs a role index promotion request according to the prompt of the smart television terminal, so that the API server updates the role index of the current user according to the role index promotion request information of the user.
It can be understood that when the API server sends the related prompt information of role index change to the smart television terminal, a plurality of role indexes can be provided for suggestion, which is convenient for the user to select rather than the user to input the role indexes by himself, so that the user experience is better.
In step S402, it is determined whether the character index requested to be raised in the character index raising request information is less than or equal to the calculated character index.
In the embodiment of the present invention, the role index requested to be increased in the role index increase request information is compared with the calculated role index to determine which role index is to be updated, so that the user experience is better while a more accurate role index is obtained.
In step S403, when it is determined that the role index requested to be increased in the role index increase request information is less than or equal to the calculated role index, the role index of the current user is updated according to the calculated role index.
It can be understood that when it is determined that the role index requested to be raised in the role index raising request information is greater than the calculated role index, the role index of the current user is better according to the role index requested to be raised in the role index raising request information, so that the role index meeting the user requirement is obtained, and the user experience is better.
In the embodiment of the invention, the role index of the current user is updated by promoting the request information according to the role index of the user, so that the diversified requirements of the user can be met, and the user experience is further promoted.
In step S302, when it is determined that the current user meets the preset role adaptation condition according to the preset role adaptation condition and the historical behavior information, the role index of the current user is calculated according to the preset role adaptation formula according to the current behavior information.
In the embodiment of the invention, the preset role adaptation formula comprises a first preset role adaptation formula and a second preset role adaptation formula; in step S302, the step of calculating the role index of the current user according to the current behavior information and the preset role adaptation formula is specifically to determine whether to calculate the role index of the current user according to the first preset role adaptation formula or the second preset role adaptation formula according to the viewing related information of the current day of the user included in the current behavior information.
Here, the embodiment of the present invention provides specific implementation steps of a method for calculating a role index of a current user according to current behavior information, as shown in fig. 5, which are detailed as follows:
in step S501, it is determined whether the current behavior information includes viewing related information of the current day of the user; the viewing related information comprises effective viewing information and/or effective television white list information.
In the embodiment of the invention, the viewing related information is related information of a television program watched by a user on the same day, and comprises information of accumulated viewing on the same day and a classification index of accumulated viewing on the same day obtained according to the information of accumulated viewing on the same day; and when the user watches the related television programs of the effective white list, the effective television white list information comprises the average film watching classification index of the current user.
The API server collects and summarizes the behavior information of all registered users of the intelligent television terminal periodically, acquires the behavior information of all users on the same day and matches with the corresponding role information of the family user, and caches the related behavior information of the role of the family user in a memory database according to the natural day to form historical behavior information of the role of the family user, so that the corresponding user role index can be acquired for comparison when the role index is updated subsequently.
It is understood that the behavior information of the user includes, but is not limited to, the following behavior information:
clicking behavior information of the intelligent television terminal user in preset time;
playing behavior information of the intelligent television terminal user within a preset time;
displaying the behavior information of the intelligent television terminal user within a preset time;
viewing TOP content information of a smart television terminal user within preset time;
and the intelligent television terminal user carries out online transaction information in preset time, wherein the online transaction information comprises total transaction amount information and total transaction number information.
In step S502, when the current behavior information includes effective viewing information, a role index of the current user is calculated according to a first preset role adaptation formula.
In an embodiment of the present invention, the effective film viewing information includes a current day accumulated film viewing classification index, and the first preset role adaptation formula specifically includes:
the role index is the cumulative movie watching classification index on the same day multiplied by a first preset proportion.
In step S503, when the current behavior information includes effective television white list information, the role index of the current user is calculated according to a second preset role adaptation formula.
In an embodiment of the present invention, the valid television white list information includes an average cumulative viewing classification index of a current user, and the second preset role adaptation formula specifically includes:
and the role index is the average view classification index of the current user multiplied by a second preset proportion.
Here, if the current behavior information includes both the effective viewing information and the effective tv white list information, the priority of the effective viewing information is higher than that of the effective tv white list information, that is, the role index of the current user is calculated according to the first preset role adaptation formula.
It is understood that, when it is determined that the current behavior information does not include the viewing related information of the current day of the user, which indicates that the user does not currently perform any operation for viewing the television program, no operation is required to be performed on the role index of the user, that is, after step S501, step S504 is further included:
and when the current behavior information is determined not to contain the viewing related information of the current day of the user, no operation is executed.
In step S103, when the role index of the current user changes, the role index of the current user is updated according to the calculated role index.
In the embodiment of the invention, if the role index of the current user changes, which indicates that the user using the intelligent television terminal changes, the viewing habit or hobby of the user also changes correspondingly, and at the moment, the role index of the current user is updated according to the calculated role index, so that the television program suitable for the user can be more accurately recommended to the user.
In the embodiment of the invention, the current behavior information of the user uploaded by the intelligent television terminal when the intelligent television terminal is started is received, the role index of the current user is calculated through a role adaptation algorithm according to the historical behavior information corresponding to the user according to the current behavior information, and the role index of the current user is updated according to the calculated role index when the role index of the current user changes, so that the role of different users in different families is matched with the corresponding role index, different user roles are determined according to the role index, and suitable television programs are recommended for different user roles in different families more accurately.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Corresponding to the method for matching user roles based on a smart television in the foregoing embodiments, fig. 6 is a schematic diagram illustrating an apparatus for matching user roles based on a smart television according to an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown.
Referring to fig. 6, the apparatus includes:
the current behavior information receiving unit 61 is used for receiving current behavior information of the user, which is uploaded when the intelligent television terminal is started;
the role index calculation unit 62 is configured to calculate a role index of the current user through a role adaptation algorithm according to historical behavior information corresponding to the user to which the current behavior information belongs;
and a first role index updating unit 63, configured to update the role index of the current user according to the calculated role index when the role index of the current user changes.
Optionally, the current behavior information includes role authorization link request information; the device further comprises:
a registered user determining unit, configured to determine whether an account to which the current user belongs is a registered account according to the role authorization link request information;
and the historical behavior information acquisition unit is used for comparing the current behavior information with the data main key identification in the memory database to acquire the historical behavior information corresponding to the current user when the current user is determined to be the registered user according to the role authorization link request information.
The role index calculation unit 62 includes:
the condition satisfaction judging subunit is used for determining whether the current user meets preset role adaptation conditions or not according to the historical behavior information;
and the role index calculation subunit is used for calculating the role index of the current user according to the current behavior information and a preset role adaptation formula when the current user is determined to meet the preset role adaptation condition according to the preset role adaptation condition and the historical behavior information.
Optionally, the preset role adaptation condition includes:
the historical behavior information comprises that the accumulated operation times of the user in a first preset time are greater than a first preset time, and the intelligent television terminal has a startup and shutdown record;
the historical behavior information comprises that the accumulated operation times of the user in the second preset time is greater than the second preset times, the continuous operation times are greater than the third preset times, and the intelligent television terminal is provided with a startup and shutdown record.
The role index calculation subunit includes:
a viewing related information determining subunit, configured to determine whether the current behavior information includes viewing related information of the current day of the user; the film watching related information comprises effective film watching information and/or effective television white list information;
the first role index calculating subunit is used for calculating the role index of the current user according to a first preset role adaptation formula when the current behavior information contains effective viewing information;
and the second role index calculation subunit is used for calculating the role index of the current user according to a second preset role adaptation formula when the current behavior information contains effective television white list information.
Optionally, the effective film viewing information includes a current day accumulated film viewing classification index, and the first preset role adaptation formula specifically includes:
the role index is the cumulative movie watching classification index on the same day multiplied by a first preset proportion.
Specifically, the valid television white list information includes an average film viewing classification index of the current user, and the second preset role adaptation formula specifically includes:
and the role index is the average view classification index of the current user multiplied by a second preset proportion.
Optionally, the apparatus further comprises:
a role index lifting request information receiving unit, configured to receive role index lifting request information of a user, where the role index lifting request information includes a request for lifting a role index;
an index size comparison unit, configured to determine whether a role index requested to be raised in the role index raising request information is less than or equal to the calculated role index;
and the second role index updating unit is used for updating the role index of the current user according to the calculated role index when the role index requested to be improved in the role index improvement request information is determined to be less than or equal to the calculated role index.
In the embodiment of the invention, the current behavior information of the user uploaded by the intelligent television terminal when the intelligent television terminal is started is received, the role index of the current user is calculated through a role adaptation algorithm according to the historical behavior information corresponding to the user according to the current behavior information, and the role index of the current user is updated according to the calculated role index when the role index of the current user changes, so that the role of different users in different families is matched with the corresponding role index, different user roles are determined according to the role index, and suitable television programs are recommended for different user roles in different families more accurately.
Fig. 7 is a schematic diagram of a server according to an embodiment of the present invention. As shown in fig. 7, the server 7 of this embodiment includes: a processor 70, a memory 71 and a computer program 72 stored in said memory 71 and executable on said processor 70. The processor 70, when executing the computer program 72, implements the steps in the above-mentioned embodiments of the method for matching user roles based on smart tv, such as the steps 101 to 103 shown in fig. 1. Alternatively, the processor 70, when executing the computer program 72, implements the functions of the units in the system embodiments, such as the functions of the modules 61 to 63 shown in fig. 6.
Illustratively, the computer program 72 may be divided into one or more units, which are stored in the memory 71 and executed by the processor 70 to accomplish the present invention. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 72 in the server 7. For example, the computer program 72 may be divided into the current behavior information receiving unit 61, the role index calculating unit 62, and the first role index updating unit 63, and the specific functions of each unit are as follows:
the current behavior information receiving unit 61 is used for receiving current behavior information of the user, which is uploaded when the intelligent television terminal is started;
the role index calculation unit 62 is configured to calculate a role index of the current user through a role adaptation algorithm according to historical behavior information corresponding to the user to which the current behavior information belongs;
and a first role index updating unit 63, configured to update the role index of the current user according to the calculated role index when the role index of the current user changes.
Optionally, the current behavior information includes role authorization link request information; the device further comprises:
a registered user determining unit, configured to determine whether an account to which the current user belongs is a registered account according to the role authorization link request information;
and the historical behavior information acquisition unit is used for comparing the current behavior information with the data main key identification in the memory database to acquire the historical behavior information corresponding to the current user when the current user is determined to be the registered user according to the role authorization link request information.
The role index calculation unit 62 includes:
the condition satisfaction judging subunit is used for determining whether the current user meets preset role adaptation conditions or not according to the historical behavior information;
and the role index calculation subunit is used for calculating the role index of the current user according to the current behavior information and a preset role adaptation formula when the current user is determined to meet the preset role adaptation condition according to the preset role adaptation condition and the historical behavior information.
Optionally, the preset role adaptation condition includes:
the historical behavior information comprises that the accumulated operation times of the user in a first preset time are greater than a first preset time, and the intelligent television terminal has a startup and shutdown record;
the historical behavior information comprises that the accumulated operation times of the user in the second preset time is greater than the second preset times, the continuous operation times are greater than the third preset times, and the intelligent television terminal is provided with a startup and shutdown record.
The role index calculation subunit includes:
a viewing related information determining subunit, configured to determine whether the current behavior information includes viewing related information of the current day of the user; the film watching related information comprises effective film watching information and/or effective television white list information;
the first role index calculating subunit is used for calculating the role index of the current user according to a first preset role adaptation formula when the current behavior information contains effective viewing information;
and the second role index calculation subunit is used for calculating the role index of the current user according to a second preset role adaptation formula when the current behavior information contains effective television white list information.
Optionally, the effective film viewing information includes a current day accumulated film viewing classification index, and the first preset role adaptation formula specifically includes:
the role index is the cumulative movie watching classification index on the same day multiplied by a first preset proportion.
Specifically, the valid television white list information includes an average film viewing classification index of the current user, and the second preset role adaptation formula specifically includes:
and the role index is the average view classification index of the current user multiplied by a second preset proportion.
Optionally, the apparatus further comprises:
a role index lifting request information receiving unit, configured to receive role index lifting request information of a user, where the role index lifting request information includes a request for lifting a role index;
an index size comparison unit, configured to determine whether a role index requested to be raised in the role index raising request information is less than or equal to the calculated role index;
and the second role index updating unit is used for updating the role index of the current user according to the calculated role index when the role index requested to be improved in the role index improvement request information is determined to be less than or equal to the calculated role index.
The server 7 may be a server: a device that provides computing services, or a cloud server. The server 7 may include, but is not limited to, a processor 70, a memory 71. It will be appreciated by those skilled in the art that fig. 7 is only an example of a server 7 and does not constitute a limitation of the server 7 and may comprise more or less components than those shown, or some components may be combined, or different components, e.g. the terminal may further comprise input output devices, network access devices, buses etc.
The Processor 70 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 71 may be an internal storage unit of the server 7, such as a hard disk or a memory of the server 7. The memory 71 may also be an external storage device of the server 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the server 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the server 7. The memory 71 is used for storing the computer program and other programs and data required by the terminal. The memory 71 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed system/server and method may be implemented in other ways. For example, the above-described system/server embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or system capable of carrying said computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (8)
1. A method for matching user roles based on a smart television is characterized by comprising the following steps:
receiving current behavior information of a user uploaded when the intelligent television terminal is started;
calculating the role index of the current user through a role adaptation algorithm according to historical behavior information corresponding to the user to which the current behavior information belongs, wherein each user has the role index;
when the role index of the current user changes, determining that the user using the intelligent television terminal currently changes, and updating the role index of the current user according to the calculated role index;
the calculating the role index of the current user through a role adaptation algorithm according to the historical behavior information corresponding to the user to which the current behavior information belongs comprises the following steps:
determining whether the current user meets preset role adaptation conditions or not according to the historical behavior information;
when the current user meets the preset role adaptation condition according to the preset role adaptation condition and the historical behavior information, calculating a user role index according to the current day viewing related information of the user in the current behavior information, wherein the viewing related information comprises effective viewing information and/or effective television white list information;
when the current behavior information contains effective film watching information containing the current day accumulated film watching classification index, calculating the role index of the current user according to a first preset role adaptation formula, wherein the first preset role adaptation formula is as follows: the role index is the accumulated film watching classification index multiplied by a first preset proportion on the same day;
and calculating the role index of the current user according to the current behavior information and a preset role adaptation formula.
2. The method of claim 1, wherein the current behavior information includes role authorization link request information; after the step of receiving the current behavior information of the user uploaded by the intelligent television terminal when the intelligent television terminal is started, the method further comprises the following steps:
determining whether the account to which the current user belongs is a registered account or not according to the role authorization link request information;
and when the current user is determined to be the registered user according to the role authorization link request information, comparing the current behavior information with the data main key identification in the memory database to obtain historical behavior information corresponding to the current user.
3. The method of claim 1, wherein the preset role adaptation conditions comprise:
the historical behavior information comprises that the accumulated operation times of the user in a first preset time are greater than a first preset time, and the intelligent television terminal has a startup and shutdown record;
the historical behavior information comprises that the accumulated operation times of the user in the second preset time is greater than the second preset times, the continuous operation times are greater than the third preset times, and the intelligent television terminal is provided with a startup and shutdown record.
4. The method of claim 1, wherein the step of calculating the role index of the current user according to the preset role adaptation formula based on the current behavior information comprises:
when effective television white list information containing the average accumulated viewing classification index of the current user exists in the current behavior information, calculating the role index of the current user according to a second preset role adaptation formula;
and when the current behavior information simultaneously contains effective viewing information and effective television white list information, calculating the role index of the current user according to the first preset role adaptation formula.
5. The method of claim 4, wherein the active TV white list information comprises an average view classification index of the current user, and the second predefined role adaptation formula is specifically:
and the role index is the average view classification index of the current user multiplied by a second preset proportion.
6. The method of claim 1, wherein the method further comprises:
receiving role index lifting request information of a user, wherein the role index lifting request information comprises a request for lifting a role index;
determining whether the role index requested to be increased in the role index increase request information is less than or equal to the calculated role index;
and when the role index requested to be improved in the role index improvement request information is determined to be less than or equal to the calculated role index, updating the role index of the current user according to the calculated role index.
7. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method for matching user roles based on a smart tv as claimed in any one of claims 1 to 6.
8. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for matching user roles based on a smart tv as claimed in any one of claims 1 to 6.
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| CN111859327A (en) * | 2020-07-24 | 2020-10-30 | 杭州鸿雁电器有限公司 | Login role identification method and device |
| CN112188287A (en) * | 2020-10-14 | 2021-01-05 | 广州欢网科技有限责任公司 | Method, system and equipment for identifying film viewing subject |
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