CN107690091A - Design method of user personality portrait based on radio and television high-definition interactive platform - Google Patents

Abstract

The invention discloses a user personalized portrait design method based on a broadcasting and television high-definition interactive platform, which comprises the following steps: (S1) extracting common channels from all channels of the broadcasting and television high-definition interaction platform based on the user watching records; (S2) implementing a review and continuous viewing function for the programs of the frequently watched channel; (S3) the programs selected for the review and continuous view functions are summarized and a favorite function is provided. The invention simply, precisely, optimally and newly refines all channels of the broadcasting and television high-definition interactive platform, is based on a three-layer refining structure design, realizes the same type of operation logic and foolproof operation of users from the solution of palliative treatment of pain spots to the solution of root cause of pain, completes user portrait according to big data watched by the users, and provides data support for realizing the personalized service of the users.

Description

Design method of user personality portrait based on radio and television high-definition interactive platform

technical field

The invention relates to the field of radio and television, in particular to a method for designing user personality portraits based on a radio and television high-definition interactive platform.

Background technique

With the rise of Internet TV, the traditional radio and television industry is facing fierce competition. How to attract and retain users through technological innovation is the primary issue of this industry. After analyzing the background of the current information age, Internet TV and mobile phones have become young It is a must-choice for users, while those who watch traditional TV are middle-aged and elderly people and children. These two groups have mental decline or problems in the process of mental development. To stand out from the crowd, it is necessary to propose innovative designs based on user attributes to increase user favorability, thereby improving user stickiness.

Contents of the invention

In order to solve the above-mentioned technical problems, the object of the present invention is to provide a user personality portrait design method based on the radio and television high-definition interactive platform.

The technical scheme adopted in the present invention is:

The method for designing user personality portraits based on the radio and television high-definition interactive platform includes the following steps: (S1) extract frequently watched channels based on user viewing records for all channels of the radio and television high-definition interactive platform; Link-watching function; (S3) Summarize the programs selected for playback and link-watching functions and provide a collection function.

Among them, the frequently-watched channels are composed of three types of channels: one is the frequently-watched channels set by the user; the other is the frequently-watched channels that the front-end system automatically pushes for the user with an algorithm according to the data of the user’s viewing habits; It is a frequently watched channel provided by the combination of self-setting and automatic push.

Further, the method of increasing or decreasing the frequently-watched channels is: when the user clicks on the frequently-watched channel option for the first time, the operation of adding a frequently-watched channel will be automatically triggered. After the setting is completed, the "return" key can be pressed to save the settings; To edit the channel again, you can click the "Frequently Viewed Settings" option in the last item of the frequently watched channel list and select "Select" to increase or decrease the frequently viewed channels again.

Further, the sorting method of the frequently-watched channels is: trigger the sorting status of the frequently-watched channels through “sorting” in the “frequently watched settings”; select the channel that needs to be sorted, press the “OK” key to activate the sorting status of the channel, and Use the "up and down" keys to move the sorting; when moving to a suitable position, press the "confirm" key again to complete the sorting of the channel. After adjusting all the channels that need to be sorted, press the "Back" button to save the settings.

Further, the Liankan function pops up a Liankan content list after clicking Liankan, and then connects to the search recommendation system to obtain the serialized programs with the same name as or associated with the currently playing program.

Further, the link-watching program recommendation algorithm of the search recommendation system is: to recommend according to the priority of the program source, and the program source includes at least rewatched programs, column selection, single-film on-demand, and film dealers' special area.

Further, the search recommendation system also obtains live channel ranking data for the current live channel ratings of the radio and television high-definition interactive platform.

Furthermore, the ranking algorithm can be realized by mixing multiple dimensions, including time dimension, region dimension, and index dimension, and the system can adjust the ranking statistics strategy at any time according to operational needs.

Beneficial effects of the present invention: the present invention refines all the channels of the radio and television high-definition interactive platform in a simple but refined, excellent and new way. Based on the three-layer refining structure design, from solving the symptoms of the pain point to solving the root cause of the pain, it realizes that users of the same category With modern operation logic and fool-like operation, user portraits are completed based on user ratings big data, and data support is provided for the realization of user personalized services.

Description of drawings

The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

Fig. 1 is a flow chart of the method for designing a user's personalized portrait according to the present invention;

Fig. 2 is a schematic diagram of the interface of frequently watched channels in the present invention;

Fig. 3 is a schematic diagram of the algorithm for recommending linked-watch programs in the present invention.

detailed description

As shown in Figure 1, the user personality portrait design method based on the radio and television high-definition interactive platform of the present invention includes the following steps:

(S1) Extract frequently watched channels based on user viewing records for all channels of the radio and television high-definition interactive platform;

(S2) Realize the functions of watching back and watching the programs of frequently watched channels;

(S3) Summarize the programs for which the playback and continuous viewing functions are selected, and provide a collection function.

The above steps carry out a simple but refined, excellent and new refinement of all the channels of the radio and television high-definition interactive platform. Based on the three-layer refinement structure design, from solving the symptoms of the pain point to solving the root cause of the pain, the operation logic of user similarity is realized. According to the big data of user ratings, user portraits are completed, providing data support for the realization of user personalized services.

Among them, the frequently-watched channels are composed of three types of channels: one is the frequently-watched channels set by the user; the other is the frequently-watched channels that the front-end system automatically pushes for the user with an algorithm according to the data of the user’s viewing habits; It is a frequently watched channel provided by the combination of self-setting and automatic push.

As shown in Figure 2, as a further optimization of this technical solution, the method of increasing or decreasing frequently watched channels is as follows: when the user clicks the option of frequently watched channels for the first time, the operation of adding frequently watched channels will be automatically triggered. After the setting is completed, press "Back" " button to save the setting; if you want to edit the frequently watched channel again, you can click the "Frequently Watched Settings" option in the last item of the frequently watched channel list and select "Select" to increase or decrease the frequently watched channel again. There is an advertising space on the right side of the expansion page for setting frequently watched channels. When performing the setting operation of frequently watched channels, the video box retains the live channel played before entering; when performing the setting operation of frequently watched channels, the channel played by the video box no longer changes with the focus movement when moving the channel up and down.

As another optimization of this technical solution, the sorting method of frequently watched channels is: trigger the sorting status of frequently watched channels through "Sort" in "Frequently Watched Settings"; select the channel that needs to be adjusted, and press the "OK" button to activate the channel The sorting status of the channel, and move the sorting through the "up and down" keys; when moving to a suitable position, press the "confirm" key again to complete the sorting of the channel. After adjusting all the channels that need to be sorted, press the "Back" key to save the settings.

The Liankan function clicks Liankan to pop up a Liankan content list, and then connects to the search recommendation system to obtain the serialized programs with the same name as or associated with the currently playing program. If "Bright Sword (12)" is being broadcast, the system will integrate the program lists related to "Bright Sword" from different program sources according to the Liankan recommendation strategy, and present them on the terminal. The user selects the program name to jump to the corresponding program for playback.

Wherein, the Liankan program recommendation algorithm of the search recommendation system is: recommend according to the priority of the program source, and the program source includes at least rewatching programs, column selection, single-chip on-demand, and film dealers' special area, as shown in Figure 3. Each program source is also prioritized for multiple channels.

In addition, the search recommendation system also obtains live channel ranking data for the current live channel ratings of the radio and television high-definition interactive platform. The ranking algorithm can be realized through multi-dimensional mixing. The three dimensions of the current system are: time dimension (real-time ranking, daily ranking, weekly ranking, monthly ranking), regional dimension (provincial ranking, local ranking), index dimension (click rate, viewing time, number of viewers), according to operational needs, the ranking statistics strategy can be adjusted at any time.

The above descriptions are only preferred implementations of the present invention, and the present invention is not limited to the above-mentioned implementations, as long as the technical solutions that achieve the purpose of the present invention by basically the same means fall within the protection scope of the present invention.

Claims (8)

1. The method for designing user personality portraits based on the radio and television high-definition interactive platform is characterized in that it comprises the following steps: (S1) extracting frequently-watched channels based on user viewing records for all channels of the radio and television high-definition interactive platform; (S2) frequently-watched channels (S3) Summarize the programs that have selected the functions of review and continuous viewing and provide a collection function. 2. The user personality portrait design method based on the radio and television high-definition interactive platform according to claim 1, characterized in that: the frequently-watched channels are composed of three types of channels: one type is the frequently-watched channels set by the user; the other type The front-end system uses algorithms to automatically push frequently-watched channels for users based on user viewing habits data; the other category is frequently-watched channels provided to users by a combination of self-setting and automatic push. 3. The user personality portrait design method based on the radio and television high-definition interactive platform according to claim 1, characterized in that: the method of increasing or decreasing the frequently-watched channels is: when the user clicks on the frequently-watched channel option for the first time, it will automatically trigger the addition of frequently-watched channels After the operation of watching channels, after the setting is completed, you can press the "Back" button to save the settings; if you want to edit the frequently watched channels again, you can click the "Frequently Watched Settings" option in the last item of the frequently watched channel list and select "Select". You can increase or decrease frequently watched channels again. 4. The user personality portrait design method based on the radio and television high-definition interactive platform according to claim 1, characterized in that: the sorting method of the frequently watched channels is: triggering the sorting of the frequently watched channels by "sorting" in the "frequently watched settings" Status; select the channel that needs to be sorted, press the "OK" button to activate the sorting status of the channel, and use the "Up and Down" keys to move the sorting; when moving to a suitable position, press the "OK" button again to complete the Sort of channels. After adjusting all the channels that need to be sorted, press the "Back" key to save the settings. 5. The user personality portrait design method based on the radio and television high-definition interactive platform according to claim 1, characterized in that: the Liankan function pops up a Liankan content list after clicking Liankan, and then docks with the search recommendation system to obtain and current A serial show with the same name or a relationship to the show being played. 6. The user personality portrait design method based on the radio and television high-definition interactive platform according to claim 5, characterized in that: the Liankan program recommendation algorithm of the search and recommendation system is: recommend according to the priority of the program source, and the program source is at least Including rewatching programs, column selection, single-film on-demand, and film dealer zone. 7. The method for designing user personality portraits based on the radio and television high-definition interactive platform according to claim 5, wherein the search recommendation system also obtains live channel ranking data for the current live channel ratings on the radio and television high-definition interactive platform. 8. The user personality portrait design method based on the radio and television high-definition interactive platform according to claim 5, characterized in that: the algorithm of the search and recommendation system ranking can be realized by mixing multiple dimensions, including time dimension, geographical dimension, crowd dimension, Indicator dimension, the system adjusts the ranking statistics strategy at any time according to operational needs.