CN105868423A - Video popularity ranking method and system based on video website - Google Patents

Video popularity ranking method and system based on video website Download PDF

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Publication number
CN105868423A
CN105868423A CN201610450159.2A CN201610450159A CN105868423A CN 105868423 A CN105868423 A CN 105868423A CN 201610450159 A CN201610450159 A CN 201610450159A CN 105868423 A CN105868423 A CN 105868423A
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CN
China
Prior art keywords
video
star
website
service request
module
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.)
Pending
Application number
CN201610450159.2A
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Chinese (zh)
Inventor
姚金明
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Wuhan Douyu Network Technology Co Ltd
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Wuhan Douyu Network Technology Co Ltd
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Filing date
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Application filed by Wuhan Douyu Network Technology Co Ltd filed Critical Wuhan Douyu Network Technology Co Ltd
Priority to CN201610450159.2A priority Critical patent/CN105868423A/en
Publication of CN105868423A publication Critical patent/CN105868423A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/71Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/7867Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

The invention discloses a video popularity ranking method based on a video website. The method comprises the following steps: setting a corresponding grade for each video according to the click rate of all the videos in the video website, sequencing all the videos according to the quantity of stars from large to small, judging whether a video recommendation service request sent by a background manager from the video website is received, if the video recommendation service request sent by the background manager from the video website is received, determining a recommended video in the video recommendation service request sent by the background manager, displaying the video at the top of the video website, hiding the actually corresponding grade of the video while recording the number of times that a user clicks the video, receiving a video recommendation end service request from the background manager, and canceling the top displaying of the recommended video according to the request. According to the video popularity ranking method, the technical problem that the attraction of the video website to the user and the attention of the user to the video website are affected by low accuracy due to an extremely simple rule of the conventional ranking mode can be solved.

Description

A kind of video popularity arrangement method based on video website and system
Technical field
The invention belongs to internet video technical field, more particularly, to one based on video The video popularity arrangement method of website and system.
Background technology
In today that information technology develops rapidly, video website has obtained increasingly extensive popularizing, User can watch its video frequency program liked by video website, including TV play, film, Game on line is live.
Many video website, can be to its video file having according to one in order to promote its attention rate Fixed rule (reaching the standard grade the date etc. of such as click volume, video frequency program) carries out ranking.But, These ranking modes are often inaccurate, and user often finds that the forward video of ranking does not have Standby captivation, from the point of view of long-term angle, can affect video website for the captivation of user and pass Note degree.
Summary of the invention
For disadvantages described above or the Improvement requirement of prior art, the invention provides a kind of based on regarding Frequently the video popularity arrangement method of website and system, it is intended that by combining video website The way of recommendation of management staff, promotes the overall accuracy of video popularity ranking further, from And it is low to solve the accuracy that existing ranking mode the most simply causes due to rule, thus impact regards Frequently the website captivation for user and the technical problem of attention rate.
For achieving the above object, according to one aspect of the present invention, it is provided that a kind of for video The video popularity arrangement method of website, comprises the following steps:
(1) according to the click volume of videos all in video website be each video arrange correspondence Star, and from more to less all of video is ranked up according to the quantity of star;
(2) judge whether that the video receiving the management staff's transmission from video website pushes away Recommend service request, if it is, proceed to step (3), otherwise proceed to step (5).
(3) video recommended in the video recommendations service request that management staff sends is determined, This video top set in video website is shown, records the number of times that this video is clicked on by user, with This video of Shi Yinzang actual corresponding star;
(4) receive the end video recommendations service from management staff to ask, according to this knot In bundle video recommendations service request cancellation step (3), the top set of recommended video shows, according to In step (3), the number of clicks of this video of record redefines the star that this video is corresponding, Then process terminates;
(5) according to video star order from high to low, all videos are shown to user select And viewing.
Preferably, click volume be the video of 0 to 10000 times be a star video, The video of 10000-20000 time is two star videos, by that analogy.
Preferably, management staff can come manually opened by sending video recommendations service request Video recommendations services, and then regulates the corresponding star of certain video.
Arrange it is another aspect of this invention to provide that provide a kind of video popularity for video website Name system, including:
First module, being used for according to the click volume of videos all in video website is that each video sets Put the star of correspondence, and from more to less all of video is ranked up according to the quantity of star;
Second module, for judging whether that receiving the management staff from video website sends Video recommendations service request, if it is, proceed to three module, otherwise proceed to the 5th module;
Three module, recommends for determining in the video recommendations service request that management staff sends Video, this video top set in video website is shown, records what this video was clicked on by user Number of times, hide simultaneously this video actual corresponding star;
4th module, asks for receiving the end video recommendations service from management staff, Show according to the top set that this terminates video recommendations service request cancellation the recommended video of three module, The star that this video is corresponding is redefined according to the number of clicks of this video of record in three module Level, then process terminates;
5th module, for being shown to all videos according to video star order from high to low User selects and viewing.
Preferably, click volume be the video of 0 to 10000 times be a star video, The video of 10000-20000 time is two star videos, by that analogy.
Preferably, management staff can come manually opened by sending video recommendations service request Video recommendations services, and then regulates the corresponding star of certain video.
In general, by the contemplated above technical scheme of the present invention compared with prior art, Can obtain following beneficial effect:
1, the present invention is by introducing the video recommendations function of video website management staff, will be single Carry out video popularity ranking with click volume and be converted to the overall ranking of video popularity, thus greatly Ensure that the accuracy of popularity ranking, so ensure that video website for the captivation of user and Attention rate.
2, the present invention realizes simply, and efficiency is high, and without video website itself is done too many Program change can realize.
Accompanying drawing explanation
Fig. 1 is the flow chart of present invention video based on video website popularity arrangement method.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with Drawings and Examples, are further elaborated to the present invention.Should be appreciated that this place is retouched The specific embodiment stated only in order to explain the present invention, is not intended to limit the present invention.Additionally, As long as technical characteristic involved in each embodiment of invention described below is each other Between do not constitute conflict just can be mutually combined.
As it is shown in figure 1, the present invention includes following for the video popularity arrangement method of video website Step:
(1) according to the click volume of videos all in video website be each video arrange correspondence Star, and from more to less all of video is ranked up according to the quantity of star;
In the present invention, it is stipulated that click volume be the video of 0 to 10000 times be a star video, The video of 10000-20000 time is two star videos ..., by that analogy;
(2) judge whether that the video receiving the management staff's transmission from video website pushes away Recommend service request, if it is, proceed to step (3), otherwise proceed to step (5);At this In bright, management staff can push away by sending the next manually opened video of video recommendations service request Recommend service, and then regulate the corresponding star (star) of certain video;
The advantage of this step is, for some click volumes the highest but for management staff For it likes and thinks being worth recommending the video of user's viewing, it is provided that one recommends use The mode at family;
(3) video recommended in the video recommendations service request that management staff sends is determined, This video top set in video website is shown, records the number of times that this video is clicked on by user, with This video of Shi Yinzang actual corresponding star;
The advantage of this step is, while being watched to user by outstanding video recommendations, protects Demonstrate,prove video website management staff and perform the privacy of associated recommendation operation.
(4) receive the end video recommendations service from management staff to ask, according to this knot In bundle video recommendations service request cancellation step (3), the top set of recommended video shows, according to In step (3), the number of clicks of this video of record redefines the star that this video is corresponding, Then process terminates;
(5) according to video star order from high to low, all videos are shown to user select And viewing.
The present invention, will be only according to point by introducing the video recommendations function of video website management staff The amount of hitting carries out video popularity ranking and is converted to the overall ranking of video popularity, thus greatly guarantees The accuracy of popularity ranking, and then ensure that video website is for the captivation of user and concern Degree.Additionally, the present invention realizes simply, efficiency is high, and without video website itself is done too much Program change can realize.
As it will be easily appreciated by one skilled in the art that and the foregoing is only presently preferred embodiments of the present invention , not in order to limit the present invention, all made within the spirit and principles in the present invention appoint What amendment, equivalent and improvement etc., should be included within the scope of the present invention.

Claims (6)

1. the video popularity arrangement method for video website, it is characterised in that include following step Rapid:
(1) according to the click volume of videos all in video website be each video arrange correspondence star, And from more to less all of video is ranked up according to the quantity of star;
(2) judge whether to receive the video recommendations service of the management staff's transmission from video website Request, if it is, proceed to step (3), otherwise proceeds to step (5).
(3) determine the video recommended in the video recommendations service request that management staff sends, this is regarded Frequency top set in video website shows, records the number of times that this video is clicked on by user, hides this video simultaneously Actual corresponding star;
(4) receive the end video recommendations service from management staff to ask, terminate video according to this In recommendation service request cancellation step (3), the top set of recommended video shows, according to note in step (3) The number of clicks of this video of record redefines the star that this video is corresponding, and then process terminates;
(5) according to video star order from high to low, all videos are shown to user select and viewing.
Video popularity arrangement method the most according to claim 1, it is characterised in that click volume is The video of 0 to 10000 times is a star video, and the video of 10000-20000 time is two star videos, By that analogy.
Video popularity arrangement method the most according to claim 1, it is characterised in that back-stage management Member can carry out manually opened video recommendations service by sending video recommendations service request, and then regulates certain The corresponding star of individual video.
4. the video popularity ranking system for video website, it is characterised in that including:
First module is right for being that each video is arranged according to the click volume of videos all in video website The star answered, and from more to less all of video is ranked up according to the quantity of star;
Second module, is used for judging whether to receive regarding of the management staff's transmission from video website Frequently recommendation service is asked, if it is, proceed to three module, otherwise proceeds to the 5th module;
Three module, for determining that recommends in the video recommendations service request that management staff sends regards Frequently, this video top set in video website is shown, record the number of times that this video is clicked on by user, simultaneously Hide the star of the actual correspondence of this video institute;
4th module, asks, according to this for receiving the end video recommendations service from management staff The top set terminating video recommendations service request cancellation the recommended video of three module shows, according to the 3rd mould In block, the number of clicks of this video of record redefines the star that this video is corresponding, and then process terminates;
5th module, for being shown to user according to video star order from high to low by all videos Select and viewing.
Video popularity ranking system the most according to claim 3, it is characterised in that click volume is The video of 0 to 10000 times is a star video, and the video of 10000-20000 time is two star videos, By that analogy.
Video popularity ranking system the most according to claim 3, it is characterised in that back-stage management Member can carry out manually opened video recommendations service by sending video recommendations service request, and then regulates certain The corresponding star of individual video.
CN201610450159.2A 2016-06-20 2016-06-20 Video popularity ranking method and system based on video website Pending CN105868423A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610450159.2A CN105868423A (en) 2016-06-20 2016-06-20 Video popularity ranking method and system based on video website

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610450159.2A CN105868423A (en) 2016-06-20 2016-06-20 Video popularity ranking method and system based on video website

Publications (1)

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CN105868423A true CN105868423A (en) 2016-08-17

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109561349A (en) * 2017-09-26 2019-04-02 武汉斗鱼网络科技有限公司 A kind of method and apparatus of pushing video
CN111447470A (en) * 2019-10-22 2020-07-24 奥菲(泰州)光电传感技术有限公司 Video application program parameter setting platform
CN112784169A (en) * 2019-11-11 2021-05-11 华为技术有限公司 Method, device and equipment for predicting ranking of works based on neural network

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Publication number Priority date Publication date Assignee Title
CN102088626A (en) * 2009-12-02 2011-06-08 Tcl集团股份有限公司 On-line video recommendation method and video portal service system
CN102740143A (en) * 2012-07-03 2012-10-17 合一网络技术(北京)有限公司 Network video ranking list generation system based on user behavior and method thereof
CN102880712A (en) * 2012-10-08 2013-01-16 合一网络技术(北京)有限公司 Method and system for sequencing searched network videos
CN105183776A (en) * 2015-08-11 2015-12-23 上海幻电信息科技有限公司 Online ranking list recommending system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102088626A (en) * 2009-12-02 2011-06-08 Tcl集团股份有限公司 On-line video recommendation method and video portal service system
CN102740143A (en) * 2012-07-03 2012-10-17 合一网络技术(北京)有限公司 Network video ranking list generation system based on user behavior and method thereof
CN102880712A (en) * 2012-10-08 2013-01-16 合一网络技术(北京)有限公司 Method and system for sequencing searched network videos
CN105183776A (en) * 2015-08-11 2015-12-23 上海幻电信息科技有限公司 Online ranking list recommending system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109561349A (en) * 2017-09-26 2019-04-02 武汉斗鱼网络科技有限公司 A kind of method and apparatus of pushing video
CN109561349B (en) * 2017-09-26 2021-11-09 武汉斗鱼网络科技有限公司 Method and device for pushing video
CN111447470A (en) * 2019-10-22 2020-07-24 奥菲(泰州)光电传感技术有限公司 Video application program parameter setting platform
CN111447470B (en) * 2019-10-22 2021-04-20 深圳市野生动物园有限公司 Video application program parameter setting platform
CN112784169A (en) * 2019-11-11 2021-05-11 华为技术有限公司 Method, device and equipment for predicting ranking of works based on neural network

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Application publication date: 20160817