CN110691264A - Television program pushing system and method based on user browsing habits - Google Patents
Television program pushing system and method based on user browsing habits Download PDFInfo
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- CN110691264A CN110691264A CN201910951840.9A CN201910951840A CN110691264A CN 110691264 A CN110691264 A CN 110691264A CN 201910951840 A CN201910951840 A CN 201910951840A CN 110691264 A CN110691264 A CN 110691264A
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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]
- H04N21/20—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
- H04N21/25875—Management of end-user data involving end-user authentication
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Graphics (AREA)
- Computing Systems (AREA)
- Computer Security & Cryptography (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a television program pushing system based on user browsing habits, which comprises a user management module, a data acquisition module, a data analysis module and a data pushing module which are sequentially connected, wherein the user management module is used for logging in and managing different users, so that the system can conveniently push television programs according to the different users; the data acquisition module is used for acquiring historical watching data of a plurality of television programs on the television by a user; the data analysis module is used for analyzing the data information of the television programs which are habitually watched by the user according to the historical watching data; the data pushing module is used for pushing corresponding television programs to users through the television according to the data information; the invention can screen the TV programs which the user likes to watch in the TV according to the browsing habits of the user for the user to select, so that the user has a reference comparison and is helped to quickly select the TV programs which the user wants to watch.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a television program pushing system and method based on user browsing habits.
Background
Television refers to a device that uses electronic technology to transmit moving image pictures and audio signals, i.e., a television receiver. Are also important broadcast and video communication tools. The method of television power utilization instantly transmits the visual image of the activity. Similar to movies, televisions use the visual residual effect of the human eye to present a frame of a still image with a gradual change, forming a visually moving image. The sending end of the television system converts each fine part of the scenery into electric signals according to the brightness and the chromaticity and then transmits the electric signals in sequence. And displaying the brightness and the chroma of each micro part according to the corresponding geometric position at a receiving end to reproduce the whole original image.
With the rapid development of entertainment, television programs such as dramas, movies and heddles are more and more, and people often tie up which type of television program to watch when watching television; at the same time, the functions of the television are more and more, but the operation is more and more complex, even if a user thinks that a favorite television program is watched, the user needs to search for a long time through remote control operation, and even some old people cannot use the current smart television, so that the television watching is inconvenient.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a television program pushing system and method based on the browsing habits of users, which can push the television programs frequently watched by the users without searching and searching by the users.
In order to solve the technical problems, the invention provides the following technical scheme:
a television program pushing system based on user browsing habits comprises a user management module, a data acquisition module, a data analysis module and a data pushing module which are sequentially connected, wherein the user management module is used for logging in and managing different users, so that the system can conveniently push television programs according to the different users; the data acquisition module is used for acquiring historical watching data of a plurality of television programs on a television by a user; the data analysis module is used for analyzing the data information of the television programs which are habitually watched by the user according to the historical watching data; and the data pushing module is used for pushing corresponding television programs to the user through the television according to the data information.
As a preferred technical solution of the present invention, the historical watching data is a category, a number of times and a watching duration of a television program watched by a user.
As a preferred technical scheme of the invention, the user management module comprises a user login unit, an automatic login unit and a quick switching unit, wherein the user login unit is used for inputting, logging in and storing a user account password; the automatic login unit automatically logs in when the television is started according to the account logged in last time; and the quick switching unit is used for quickly switching and logging in the stored accounts.
As a preferred technical solution of the present invention, the data analysis module includes a data analysis unit, a modeling unit, and a data prediction unit, and the data analysis unit is configured to analyze viewing preference information according to historical viewing data; the modeling unit is used for constructing a viewing model according to the viewing preference information; and the data prediction unit is used for analyzing the data information of the television program which is liked to be watched by the user according to the watching model.
As a preferred technical solution of the present invention, the data pushing module includes a sorting unit, a data intercepting unit, a matching unit, and a data pushing unit, wherein the sorting unit is configured to sort, according to the data information analyzed by the data analyzing module, the television programs corresponding to the data information according to a specific theme; the data interception unit is used for intercepting the television programs corresponding to the data information of the preset amount in the sorted data information; the matching unit is used for matching out the television programs related to the intercepted data information; the data pushing unit is used for pushing the television program output by the matching unit to the television terminal.
A television program pushing method based on user browsing habits comprises the following specific pushing steps:
s100: a user starts a television terminal, logs in a corresponding account through a user management module, if the account is in initial login, pushing is carried out according to the overall watching sequence of television programs recorded by a television, and if the account is in non-initial login, pushing the television programs according to the browsing habit of the account;
s200: the data acquisition module acquires historical watching data of a plurality of television programs on the television by the logged account;
s300: the data analysis module analyzes the data information of the television program which is habitually watched by the user according to the historical watching data of the logged account;
s400: and the data pushing module pushes the corresponding television program to the user through the television screen according to the data information.
Compared with the prior art, the invention can achieve the following beneficial effects:
according to the method and the device, the television programs which the user likes to watch can be screened out in the television according to the browsing habits of the user for the user to select, so that the user has a reference comparison, and the user is helped to quickly select the television programs which the user wants to watch without entanglement; the pushed television program is directly displayed on a television screen, searching is not needed, and people who are not good at using the intelligent television, such as the old, can conveniently use the television and quickly find the television program to be watched; each user has an independent television program pushing system, can be suitable for families in old, middle and green three-generation classrooms (or multi-generation classrooms) to use, and meets the requirements of different age groups on different television program hobbies.
Drawings
FIG. 1 is a system schematic of the present invention;
wherein: 1. a user management module; 11. a user login unit; 12. an automatic login unit; 13. a fast switching unit; 2. a data acquisition module; 3. a data analysis module; 31. a data analysis unit; 32. a modeling unit; 33. a data prediction unit; 4. a data push module; 41. a sorting unit; 42. a data interception unit; 43. a matching unit; 44. and a data pushing unit.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Referring to fig. 1, a television program pushing system based on a user browsing habit includes a user management module 1, a data acquisition module 2, a data analysis module 3, and a data pushing module 4, which are connected in sequence, where the user management module 1 is used for logging in and managing different users, so as to facilitate the system to push television programs according to different users; the data acquisition module 2 is used for acquiring historical watching data of a plurality of television programs on a television by a user; the data analysis module 3 is used for analyzing the data information of the television programs watched by the user according to the historical watching data; and the data pushing module 4 is used for pushing the corresponding television program to the user through the television according to the data information.
The historical watching data is the type, the times and the watching duration of the television programs watched by the user.
The user management module 1 comprises a user login unit 11, an automatic login unit 12 and a quick switching unit 13, wherein the user login unit 11 is used for inputting, logging in and storing a user account password; the automatic login unit 12 automatically logs in when the television is started according to the account number logged in last time; the fast switching unit 13 performs fast switching login on the stored plurality of accounts.
The data analysis module 3 comprises a data analysis unit 31, a modeling unit 32 and a data prediction unit 33, wherein the data analysis unit 31 is used for analyzing the viewing preference information according to the historical viewing data; the modeling unit 32 is used for constructing a viewing model according to the viewing preference information; the data prediction unit 33 is configured to analyze data information of a television program that the user likes to watch according to the watching model.
The data pushing module 4 includes a sorting unit 41, a data intercepting unit 42, a matching unit 43 and a data pushing unit 44, where the sorting unit 41 is configured to sort, according to the data information analyzed by the data analyzing module 3, the television programs corresponding to the data information according to a specific theme; the data interception unit is used for intercepting the television programs corresponding to the data information of the preset amount in the sorted data information; the matching unit 43 is used for matching out the television programs related to the intercepted data information; the data pushing unit 44 is configured to push the television program output by the matching unit 43 to the television terminal.
A television program pushing method based on user browsing habits comprises the following specific pushing steps:
s100: a user starts a television terminal, logs in a corresponding account through a user management module 1, if the account is in initial login, pushing is carried out according to the overall watching sequence of television programs recorded by a television, and if the account is in non-initial login, pushing is carried out according to the browsing habit of the account;
s200: the data acquisition module 2 acquires historical watching data of a plurality of television programs on the television by the logged account;
s300: the data analysis module 3 analyzes the data information of the television program which is habitually watched by the user according to the historical watching data of the logged account;
s400: and the data pushing module 4 pushes the corresponding television program to the user through the television screen according to the data information.
The embodiments of the present invention are not limited thereto, and according to the above-described embodiments of the present invention, other embodiments obtained by modifying, replacing or combining the above-described preferred embodiments in various other forms without departing from the basic technical idea of the present invention by using the conventional technical knowledge and the conventional means in the field can fall within the scope of the present invention.
Claims (6)
1. A television program pushing system based on user browsing habits is characterized by comprising a user management module (1), a data acquisition module (2), a data analysis module (3) and a data pushing module (4) which are sequentially connected, wherein the user management module (1) is used for logging in and managing different users, so that the system can conveniently push television programs according to the different users; the data acquisition module (2) is used for acquiring historical watching data of a plurality of television programs on a television by a user; the data analysis module (3) is used for analyzing the data information of the television programs which are habitually watched by the user according to the historical watching data; and the data pushing module (4) is used for pushing corresponding television programs to the user through the television according to the data information.
2. The system of claim 1, wherein the historical watching data is a kind, a number of times and a watching duration of the tv programs watched by the user.
3. The system for pushing the television programs based on the browsing habits of the users as claimed in claim 1, wherein the user management module (1) comprises a user login unit (11), an automatic login unit (12) and a fast switching unit (13), the user login unit (11) is used for inputting, logging in and storing a user account password; the automatic login unit (12) automatically logs in when the television is started according to the account logged in last time; the quick switching unit (13) performs quick switching login on a plurality of stored accounts.
4. The system for pushing tv programs based on browsing habits of users according to claim 1, wherein the data analysis module (3) comprises a data analysis unit (31), a modeling unit (32) and a data prediction unit (33), the data analysis unit (31) is configured to analyze the viewing preference information according to the historical viewing data; the modeling unit (32) is used for constructing a viewing model according to the viewing preference information; the data prediction unit (33) is used for analyzing the data information of the television programs which the user likes to watch according to the watching model.
5. The system for pushing television programs based on browsing habits of users as claimed in claim 1, wherein the data pushing module (4) comprises a sorting unit (41), a data intercepting unit (42), a matching unit (43) and a data pushing unit (44), the sorting unit (41) is configured to sort the television programs corresponding to the data information according to the data information analyzed by the data analyzing module (3) and according to a specific topic; the data intercepting unit (42) is used for intercepting the television programs corresponding to the data information of the preset amount in the sorted data information; the matching unit (43) is used for matching out the television programs related to the intercepted data information; the data pushing unit (44) is used for pushing the television programs output by the matching unit (43) to the television terminal.
6. A television program pushing method based on a user browsing habit is characterized by comprising the following specific pushing steps:
s100: a user starts a television terminal, logs in a corresponding account through a user management module (1), if the account is primarily logged in, pushing is carried out according to the overall watching sequence of television programs recorded by a television, and if the account is not primarily logged in, pushing the television programs according to the browsing habit of the account;
s200: the data acquisition module (2) acquires historical watching data of a plurality of television programs on the television by the logged account;
s300: the data analysis module (3) analyzes the data information of the television programs which are habitually watched by the user according to the historical watching data of the logged account;
s400: and the data pushing module (4) pushes the corresponding television program to the user through the television screen according to the data information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910951840.9A CN110691264A (en) | 2019-10-09 | 2019-10-09 | Television program pushing system and method based on user browsing habits |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910951840.9A CN110691264A (en) | 2019-10-09 | 2019-10-09 | Television program pushing system and method based on user browsing habits |
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| Publication Number | Publication Date |
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| CN110691264A true CN110691264A (en) | 2020-01-14 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910951840.9A Pending CN110691264A (en) | 2019-10-09 | 2019-10-09 | Television program pushing system and method based on user browsing habits |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112135170A (en) * | 2020-09-22 | 2020-12-25 | 青岛聚看云科技有限公司 | Display device, server and video recommendation method |
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| CN102769781A (en) * | 2012-07-17 | 2012-11-07 | 青岛海信传媒网络技术有限公司 | Method and device for recommending television program |
| CN106454517A (en) * | 2016-10-25 | 2017-02-22 | 北京小米移动软件有限公司 | TV program push method and apparatus, and terminal device |
| CN108574857A (en) * | 2018-05-22 | 2018-09-25 | 深圳Tcl新技术有限公司 | Program commending method, smart television based on user behavior and storage medium |
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2019
- 2019-10-09 CN CN201910951840.9A patent/CN110691264A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102769781A (en) * | 2012-07-17 | 2012-11-07 | 青岛海信传媒网络技术有限公司 | Method and device for recommending television program |
| CN106454517A (en) * | 2016-10-25 | 2017-02-22 | 北京小米移动软件有限公司 | TV program push method and apparatus, and terminal device |
| CN108574857A (en) * | 2018-05-22 | 2018-09-25 | 深圳Tcl新技术有限公司 | Program commending method, smart television based on user behavior and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112135170A (en) * | 2020-09-22 | 2020-12-25 | 青岛聚看云科技有限公司 | Display device, server and video recommendation method |
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Application publication date: 20200114 |