CN106791901B - Live broadcast channel ordering method and device - Google Patents
Live broadcast channel ordering method and device Download PDFInfo
- Publication number
- CN106791901B CN106791901B CN201611161782.2A CN201611161782A CN106791901B CN 106791901 B CN106791901 B CN 106791901B CN 201611161782 A CN201611161782 A CN 201611161782A CN 106791901 B CN106791901 B CN 106791901B
- Authority
- CN
- China
- Prior art keywords
- live
- live channel
- watching
- channel
- people
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
-
- 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
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
-
- 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
- H04N21/252—Processing of multiple end-users' preferences to derive collaborative data
-
- 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
-
- 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
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26258—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list
Abstract
The invention discloses a live channel sorting method and a live channel sorting device. Wherein, the method comprises the following steps: A. collecting original data related to a live channel; the original data comprises audience data related to the watching condition of a live channel and sales data related to the purchasing condition of the live channel; B. generating corresponding evaluation data according to the original data; C. and calculating to obtain the score and D of the live channel according to the evaluation data, sequencing the live channel according to the score of the live channel, and outputting the sequenced live channel to a television live broadcast platform. The real-time change of the current user or live channel condition can be well reflected through the original data, so that the final sequencing result can be well matched with the actual condition, and better benefits and recommendation results are obtained.
Description
Technical Field
The invention relates to the technical field of recommendation systems, in particular to a live channel sorting method and a live channel sorting device.
Background
With the continuous development and popularization of network technology, live webcasting has slowly entered our lives. Live webcasting is favored by many viewers based on its strong realism, real-time and interactivity. Live shopping is a new development trend in online shopping, and brings a new development opportunity for online shopping by means of the advantages of live online shopping and the shopping requirements of audiences.
The live television shopping greatly improves the live broadcast effect by means of the advantage of a large television screen, and meets the shopping requirements of audiences while providing rich and colorful live broadcast shows for the audiences.
Live channels are an important component of live television shopping. Each channel has different live content and also has corresponding promotional items. As an operation subject of live television shopping, the method needs to maximize benefits, sell commodities popularized by live television, and maintain enthusiasm of audience groups. And where the ordering of live channels has a significant impact on their effectiveness, including impact on operational revenues and long-term growth of audience populations.
In the prior art, the sequencing method for live channels is simple, some direct channels adopt random sequencing, and some direct channels are simply sequenced according to sales volume or popularization income. Since these ranking results are fixed or dynamic ranking results that do not vary according to the real-time needs of the user. Therefore, the use requirement cannot be well met, and a good operation effect is formed.
Disclosure of Invention
In view of the above disadvantages of the prior art, the present invention provides a live channel sorting method and apparatus, and aims to solve the problem that in the prior art, live channel sorting cannot adapt to real-time changes and is dynamically adjusted.
In order to achieve the purpose, the invention adopts the following technical scheme:
a live channel sorting method comprises the following steps:
A. collecting original data related to a live channel; the original data comprises audience data related to the watching condition of a live channel and sales data related to the purchasing condition of the live channel;
B. generating corresponding evaluation data according to the original data;
C. calculating to obtain the score of the live channel according to the evaluation data;
D. sorting the live channels according to the scores of the live channels;
E. and outputting the sequenced live channels to a television live broadcast platform.
The live channel sorting method includes the following steps: the raw data is collected at predetermined time intervals.
The live channel sorting method includes the following steps: current number of viewers, cumulative number of purchases, cumulative number of viewers, and average length of viewing time.
The live channel sorting method includes the following specific steps: average number of people watching, purchase coefficient, current number of people watching and average watching duration;
the step B specifically comprises the following steps:
b1, placing the current number of people watching in the number of people watching, and calculating to obtain the average number of people watching by the following formula:
wherein j is the serial number of the live channel, i is the collected serial number, N is the total number of the elements in the watching population set, and the current watching population is
The number of people watching is integrated into
B2, calculating the purchase coefficient by the following equation:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
to accumulate the number of viewers.
The live channel sorting method includes the following steps:
the score of the live channel is calculated by the following equation:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
in order to accumulate the number of people viewed,
the number of people currently being watched,
m is the number of live channels to be sorted for the average viewing duration,*is a weight coefficient, and
a live channel ranking apparatus, comprising:
the live channel data acquisition module is used for acquiring original data related to a live channel; the original data comprises audience data related to the watching condition of a live channel and sales data related to the purchasing condition of the live channel;
the live broadcast channel evaluation module is used for generating corresponding evaluation data according to the original data; calculating to obtain the score of the live channel according to the evaluation data;
the live broadcast channel sorting module is used for sorting the live broadcast channels according to the scores of the live broadcast channels; and
and the output module is used for outputting the sequenced live channels to a television live broadcast platform.
The live channel sorting device is characterized in that the original data acquisition module is specifically used for acquiring the original data at preset time intervals.
The live channel sorting device, wherein the raw data specifically includes: current number of viewers, cumulative number of purchases, cumulative number of viewers, and average length of viewing time.
The live channel sorting device, wherein the evaluation data specifically includes: average number of people watching, purchase coefficient, current number of people watching and average watching duration;
the live channel evaluation module is specifically configured to:
placing the current number of people watching in the number of people watching set, and obtaining the average number of people watching through the following calculation formula:
wherein j is the serial number of the live channel, i is the collected serial number, N is the total number of the elements in the watching population set, and the current watching population is
The number of people watching is integrated into
And calculating a purchase coefficient by:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
to accumulate the number of viewers.
The live broadcast channel sequencing device is characterized in that the live broadcast evaluation module is specifically configured to:
the score of the live channel is calculated by the following equation:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
in order to accumulate the number of people viewed,
the number of people currently being watched,
m is the number of live channels to be sorted for the average viewing duration,*is a weight coefficient, and
has the advantages that: according to the live channel sorting method and the device thereof, the original data are collected and the evaluation data are further calculated so as to score different live channels, and finally, the real-time change of the current user or the live channel condition can be well reflected through the original data in a sorting mode according to the scores, so that the final sorting result can be well matched with the actual condition, and better benefits and recommendation results are obtained.
Drawings
Fig. 1 is a flowchart of a method for sorting live channels according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a live channel sorting result of the live channel sorting method according to the embodiment of the present invention.
Fig. 3 is a schematic view of an application environment of the live channel sorting method according to the embodiment of the present invention.
Fig. 4 is a functional block diagram of a live channel sorting apparatus according to an embodiment of the present invention.
Detailed Description
The invention provides a live channel sorting method and a live channel sorting device. In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, a live channel sorting method according to an embodiment of the present invention is provided. The method comprises the following steps:
s100, collecting original data related to a live channel. The raw data includes viewing data related to viewing of the live channel and sales data related to purchasing of the live channel.
In the live shopping process, the live webcast platform generally provides a plurality of different live channels for the user to select, and the different live channels may have different shopping contents, such as live channels for providing bedding sales, live channels for providing car sales, and the like.
The network platform can push the different live channels to the user in a list (including live channel 1, live channel 2, etc.) manner as shown in fig. 2. Therefore, the sorting result of the live channels in the list or other presentation forms can guide the selection of the user or play a role in recommendation.
The popularity or revenue expectation of a live channel may be reflected by a number of different types of data for a particular live channel. For example, data reflecting the viewing situation of the live channel, sales data reflecting the shopping success situation of the commodities on the live channel, and the like. The original data can be easily or simply acquired through actual conditions by the live broadcast platform, and the specific data acquisition process is the conventional technology and is not described herein any more.
Specifically, step S100 specifically includes: the raw data is collected at predetermined time intervals. Considering that the actual viewing or sale condition of the user or the live channel is a real-time changing data, a proper time interval can be preset for collecting and recording the original data at the corresponding moment. The time interval may be specifically adjusted according to actual conditions, such as a live broadcast period of a live broadcast channel, a refresh frequency of sorting, and the like, and may be set to 10 minutes or 20 minutes, for example. Under the condition that the live broadcast period of the live broadcast channel is short, the time interval can be shortened, the sampling frequency and the refreshing frequency are improved to adapt to the live broadcast period, and therefore live broadcast channel sequencing matched with real-time change conditions is provided.
And S200, generating corresponding evaluation data according to the original data.
In the practical application process, the acquired raw data part can be directly used for evaluating the live channel, and some types of raw data need to be subjected to specific processing to generate evaluation data so as to further display the specific state of the live channel, so that the live channel can be better evaluated.
Specifically, the raw data may include: current number of viewers, cumulative number of purchases, cumulative number of viewers, and average length of viewing time. The current number of viewers refers to the number of viewers watching the live channel (e.g., live channel 1). The accumulated purchasing number refers to the total purchasing number of the live channel played to the current time. The cumulative number of viewers refers to the total number of viewers who broadcast the live channel to the current time (the same user does not repeat the continuous or intermittent watching process). The average viewing duration refers to the length of time that the user is viewing the live channel on average.
Correspondingly, the evaluation data may then include: average number of people watched, purchase coefficient, current number of people watched, and average watching duration. The average number of watching people can be obtained by calculating the current number of watching people, and the purchasing coefficient is determined by the accumulated number of purchasing people and the accumulated number of watching people.
In the evaluation data, the current number of people watching can reflect the audience rating of the channel, the average number of people watching mainly displays the change of the audience rating of the channel, and the average watching duration can embody the attraction degree of the channel to audiences; the shopping coefficient may display the sales proceeds (i.e., the profit expectations) for the goods promoted by the channel.
The score (or value) of the live channel is comprehensively considered through the data of the four aspects, and the audience can be guided to watch the channel which is attractive to the user and has better commodity popularization effect through the sequencing result.
And S300, calculating to obtain the score of the live channel according to the evaluation data.
As described above, ratings data may generally include a number of different types of data (e.g., four for average number of viewers, purchase factor, current number of viewers, and average length of viewing time as described above) for better scoring of live channels. Preferably, in the process of calculating the score, corresponding weight values can be set for different evaluation data according to actual conditions, so that the score of the live channel can be better realized, and the preference of a user can be reflected.
The score of the live channel obtained through the evaluation data can better reflect the income expectation brought by the live channel and the popularity of the live channel.
S400, sorting the live channels according to the scores of the live channels.
And S500, outputting the sequenced live broadcast channels to a television live broadcast platform.
After the score of the live channel is calculated, the live channels can be sorted in descending order according to the level of the score of the live channel, and output in a specific form (for example, a list form as shown in fig. 2) for presentation to the user.
In this way, the live channels with higher scores or higher values are ranked in the front, so that the users are guided and recommended to enter the live channels with higher ranks, and the live platform can obtain higher expected revenue values. In addition, the sequencing is a dynamically changed sequencing result, and the real-time change situation can be better adapted according to the continuous change of the newly acquired original data.
Fig. 3 shows an application example of the live channel sorting method according to the embodiment of the present invention. In the present example of application, user 10, television 20, and service providing platform 30 are included. The live channel sorting method is executed on the service providing platform 30, and outputs a result or collects original data through the television 20. The user 10 interacts with the television 20 to watch a particular live channel and shop on the television 20.
The service providing platform may be any suitable electronic computing platform with certain logical computing capability, such as a server or a cloud computing platform.
In the service providing platform execution process, firstly at a specific time tiCollecting the current number of people watching
Cumulative number of purchasers
Cumulative number of people watching
And average viewing duration
As raw data. The current watching number of people obtained at different time or different live broadcast channels is used as the element of the watching number set, and the current watching number of people is stored into the group in a shifting storage mode
In (1), N is the length of the array (i.e., the number of elements of the set).
Then, the evaluation data (i.e. the average number of people watching, the purchasing coefficient, the current number of people watching and the average watching time length) is calculated and generated according to the collected original data.
The specific calculation generation process is as follows:
obtaining the average number of people watching through the calculation of formula (1)
Wherein j is the serial number of the live channel, i is the collected serial number, N is the length of the array (i.e. the total number of elements in the watching people group), and the current watching people number is
Calculating purchase coefficient by equation (2)
Wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
to accumulate the number of viewers.
Then, the score of a specific live channel (such as the live channel 1) is calculated according to the evaluation data. The specific calculation process is as follows:
calculating the score of the live channel by equation (3)
Wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
in order to accumulate the number of people viewed,
the number of people currently being watched,
for average viewingThe duration, M is the number of live channels to be sorted,*is a weight coefficient, and
and finally, after the scores of all live channels are calculated, sorting the scores in a descending order according to the scores and outputting the scores in the television 20, and displaying the scores to the user 10 so as to guide the user 10 to enter the live channel with higher value.
The embodiment of the invention also provides a live channel sequencing device.
As shown in fig. 4, the apparatus includes: a live channel data acquisition module 100, a live channel evaluation module 200, a live channel sorting module 300, and an output module 400.
The live channel data acquisition module 100 is configured to acquire original data related to a live channel; the raw data includes viewing data related to viewing of the live channel and sales data related to purchasing of the live channel. The live channel evaluation module 200 is configured to generate corresponding evaluation data according to the raw data, and calculate a score of the live channel according to the evaluation data. The live channel sorting module 300 is configured to sort the live channels according to the scores of the live channels. The output module 400 is configured to output the sorted live channels to a television live broadcast platform.
Specifically, the raw data collecting module is specifically configured to collect the raw data at predetermined time intervals.
More specifically, the raw data specifically includes: current number of viewers, cumulative number of purchases, cumulative number of viewers, and average length of viewing time. Corresponding to the raw data, the evaluation data specifically includes: average number of people watched, purchase coefficient, current number of people watched, and average watching duration.
In an embodiment, the live channel evaluation module 200 is specifically configured to:
placing the current number of people watching in the number of people watching set, and obtaining the average number of people watching through the following calculation formula:
wherein j is the serial number of the live channel, i is the collected serial number, N is the total number of the elements in the watching population set, and the current watching population is
The number of people watching is integrated into
And calculating a purchase coefficient by:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
to accumulate the number of viewers.
In another embodiment, the live evaluation module 200 is further specifically configured to:
the score of the live channel is calculated by the following equation:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
in order to accumulate the number of people viewed,
the number of people currently being watched,
m is the number of live channels to be sorted for the average viewing duration,*is a weight coefficient, and
by the sorting method and the sorting device, the live channels can be dynamically sorted according to the specific situation of the current live channel, a better recommendation structure is provided to guide a user to enter the live channel with high value, the benefit maximization of a live platform is realized, and the requirements of the user are met.
It should be understood that the technical solutions and concepts of the present invention may be equally replaced or changed by those skilled in the art, and all such changes or substitutions should fall within the protection scope of the appended claims.
Claims (8)
1. A live channel sorting method is characterized by comprising the following steps:
A. collecting original data related to a live channel; the original data includes viewing data related to a viewing condition of a live channel and sales data related to a purchase condition of the live channel, and the original data specifically includes: the current number of people watching, the accumulated number of people purchasing, the accumulated number of people watching and the average watching duration;
B. generating corresponding evaluation data according to the original data;
C. calculating to obtain the score of the live channel according to evaluation data, wherein the evaluation data specifically comprises the following steps: average number of people watching, purchase coefficient, current number of people watching and average watching duration;
D. sorting the live channels according to the scores of the live channels;
E. and outputting the sequenced live channels to a television live broadcast platform, wherein the sequenced live channels are dynamically changed.
2. The live channel sorting method according to claim 1, wherein the step a specifically includes: the raw data is collected at predetermined time intervals.
3. The live channel sorting method according to claim 1, wherein the step B specifically includes:
b1, placing the current number of people watching in the number of people watching, and calculating to obtain the average number of people watching by the following formula:
wherein j is the serial number of the live channel, i is the collected serial number, N is the total number of the elements in the watching population set, and the current watching population is
The number of people watching is integrated into
B2, calculating the purchase coefficient by the following equation:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
to accumulate the number of viewers.
4. The live channel sorting method according to claim 3, wherein the step C specifically includes:
the score of the live channel is calculated by the following equation:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
in order to accumulate the number of people viewed,
the number of people currently being watched,
m is the number of live channels to be sorted for the average viewing duration,*is a weight coefficient, and
5. a live channel ranking apparatus, comprising:
the live channel data acquisition module is used for acquiring original data related to a live channel; the original data comprises viewing data related to the watching condition of a live channel and sales data related to the purchasing condition of the live channel, and the original data acquisition module is specifically used for acquiring the original data at a preset time interval;
the live broadcast channel evaluation module is used for generating corresponding evaluation data according to the original data; calculating to obtain the score of the live channel according to evaluation data, wherein the evaluation data specifically comprises the following steps: average number of people watching, purchase coefficient, current number of people watching and average watching duration;
the live broadcast channel sorting module is used for sorting the live broadcast channels according to the scores of the live broadcast channels; and
and the output module is used for outputting the sequenced live broadcast channels to a television live broadcast platform, wherein the sequenced live broadcast channels are dynamically changed.
6. The live channel sorting apparatus of claim 5, wherein the raw data collection module is specifically configured to collect the raw data at predetermined time intervals.
7. The live channel ranking device of claim 6, wherein the live channel evaluation module is specifically configured to:
placing the current number of people watching in the number of people watching set, and obtaining the average number of people watching through the following calculation formula:
wherein j is the serial number of the live channel, i is the collected serial number, N is the total number of the elements in the watching population set, and the current watching population is
The number of people watching is integrated into
And calculating a purchase coefficient by:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
to accumulate the number of viewers.
8. The live channel ranking device of claim 7, wherein the live evaluation module is specifically configured to:
the score of the live channel is calculated by the following equation:
wherein the content of the first and second substances,
in order to accumulate the number of purchasers,
in order to accumulate the number of people viewed,
the number of people currently being watched,
m is the number of live channels to be sorted for the average viewing duration,*is a weight coefficient, and
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611161782.2A CN106791901B (en) | 2016-12-15 | 2016-12-15 | Live broadcast channel ordering method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611161782.2A CN106791901B (en) | 2016-12-15 | 2016-12-15 | Live broadcast channel ordering method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106791901A CN106791901A (en) | 2017-05-31 |
| CN106791901B true CN106791901B (en) | 2020-09-22 |
Family
ID=58891388
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611161782.2A Active CN106791901B (en) | 2016-12-15 | 2016-12-15 | Live broadcast channel ordering method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106791901B (en) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109525864B (en) * | 2017-09-20 | 2021-03-30 | 北京国双科技有限公司 | Audience rating ranking method and device |
| CN107948753B (en) * | 2017-11-20 | 2019-06-04 | 武汉斗鱼网络科技有限公司 | A kind of recommended method, device and computer equipment |
| CN108388979A (en) * | 2018-02-01 | 2018-08-10 | 广州虎牙信息科技有限公司 | Resource bit traffic operational effect appraisal procedure, storage medium and terminal |
| CN108419134B (en) * | 2018-02-05 | 2020-02-18 | 华南理工大学 | Channel recommendation method based on fusion of individual history and group current behaviors |
| CN108520439A (en) * | 2018-04-03 | 2018-09-11 | 联想(北京)有限公司 | Evaluate method, server cluster and the system of demonstration effect |
| CN109168049B (en) * | 2018-09-03 | 2021-03-23 | 广州虎牙信息科技有限公司 | Live program grade evaluation method and device, storage medium and server |
| CN109640176B (en) * | 2018-12-18 | 2021-01-22 | 北京字节跳动网络技术有限公司 | Method and apparatus for generating information |
| CN111031339A (en) * | 2019-12-18 | 2020-04-17 | 网易（杭州）网络有限公司 | Live video processing method and device |
| CN111432224B (en) * | 2020-02-27 | 2022-03-25 | 北京达佳互联信息技术有限公司 | Live broadcast processing method and device, electronic equipment and storage medium |
| CN111859284A (en) * | 2020-06-12 | 2020-10-30 | 有米科技股份有限公司 | Method and device for determining apportionment weight value of loaded video |
| CN112232906A (en) * | 2020-09-29 | 2021-01-15 | 平潭综合实验区澄心贸易有限公司 | Commodity recommendation system for live broadcast sales and working method thereof |
| CN115037954A (en) * | 2022-05-18 | 2022-09-09 | 阿里云计算有限公司 | Control method, device and system for accessing live broadcast |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105141983A (en) * | 2015-08-20 | 2015-12-09 | 深圳市酷开网络科技有限公司 | Method and system for sorting channels of digital television based on viewing duration |
| CN105472413A (en) * | 2015-11-19 | 2016-04-06 | 广州创维平面显示科技有限公司 | Television channel sorting method and system, and server |
| US9374610B1 (en) * | 2013-08-02 | 2016-06-21 | Purplecomm Inc. | Index channel technology |
| CN106021478A (en) * | 2016-05-19 | 2016-10-12 | 武汉斗鱼网络科技有限公司 | Method and apparatus for displaying home page direct broadcast room list in optimized manner through direct broadcast website |
-
2016
- 2016-12-15 CN CN201611161782.2A patent/CN106791901B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9374610B1 (en) * | 2013-08-02 | 2016-06-21 | Purplecomm Inc. | Index channel technology |
| CN105141983A (en) * | 2015-08-20 | 2015-12-09 | 深圳市酷开网络科技有限公司 | Method and system for sorting channels of digital television based on viewing duration |
| CN105472413A (en) * | 2015-11-19 | 2016-04-06 | 广州创维平面显示科技有限公司 | Television channel sorting method and system, and server |
| CN106021478A (en) * | 2016-05-19 | 2016-10-12 | 武汉斗鱼网络科技有限公司 | Method and apparatus for displaying home page direct broadcast room list in optimized manner through direct broadcast website |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106791901A (en) | 2017-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106791901B (en) | Live broadcast channel ordering method and device | |
| US6604239B1 (en) | System and method for virtual television program rating | |
| JP4910000B2 (en) | Listing advertisement sending device and method | |
| US20120192214A1 (en) | Method and apparatus for delivering targeted content to television viewers | |
| US20100131356A1 (en) | Methods and Systems of Measuring the Effectiveness of Advertising Content and Producing Standardized Advertising Content Effectiveness Scores | |
| CN107798560A (en) | A kind of retail shop's individual character advertisement intelligent method for pushing and system | |
| CN107071527B (en) | Interactive advertisement evaluation method and system | |
| US20090164419A1 (en) | Video quality measures | |
| CN110214451A (en) | With the video content distribution platform of advertisement and reward collection mechanism integration | |
| JP6494475B2 (en) | Advertisement distribution apparatus and advertisement distribution method | |
| Varan et al. | The effects of commercial length on advertising impact: What short advertisements can and cannot deliver | |
| KPD Balakrishnan et al. | The impact of brand placement and brand recall in movies: Empirical evidence from Malaysia | |
| JP2021508194A (en) | Home shopping provider for individuals | |
| Gürses et al. | Effectiveness of product placement: An experimental study in Turkey | |
| Redondo | Product-placement planning: How is the industry placing brands in relation to moviegoer consumption? | |
| CN113766263B (en) | Live broadcast room recommendation method and device | |
| Min | The Effect of Service Quality on Customer Satisfaction and Customer Loyalty of CANAL+ Viewer in Yangon | |
| JP2001326922A (en) | Service device and system for broadcast program | |
| US20130036006A1 (en) | Advertisement matching | |
| Nam et al. | Marketing theatrical films for the mobile platform: the roles of web content/social media, brand extension, WOM, and windowing strategies | |
| Krypton | Digital Video Advertising Trend a Consumer Behaviour Study in Industrial 4.0 Era | |
| Kumar et al. | Impact of Marketing Strategies on Consumer Buying Behaviour with Specific Reference to Movies as a Medium | |
| CN101334782A (en) | Adaptive marketing system | |
| Nandakumar | An Empirical Study on Viewer Perception Towards Non-Skippable Advertisement on Streaming Applications | |
| Gaoshinde | Impact of embedded marketing on OTT Platforms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 516006 TCL technology building, No.17, Huifeng Third Road, Zhongkai high tech Zone, Huizhou City, Guangdong Province Applicant after: TCL Technology Group Co.,Ltd. Address before: 516006 Guangdong province Huizhou Zhongkai hi tech Development Zone No. nineteen District Applicant before: TCL RESEARCH AMERICA Inc. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |