CN114925942A - Video heat prediction method and device based on data analysis - Google Patents
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Abstract
The invention provides a video heat prediction method and a video heat prediction device based on data analysis, which relate to the technical field of data analysis and processing, and the prediction method comprises the following steps: step S1, setting a calculation model of the video heat value, and calculating the heat value of one video according to the calculation model of the video heat value; step S2, classifying the video to be published, then acquiring the heat value of the video to be published in a first time period before the video to be published and in a first ranking number before the video to be published is published, and obtaining the basic heat value of the video to be published by acquiring the heat value of the video; step S3, acquiring the heat increasing state of the videos of the same type which are being released in the current state within the first releasing time, and obtaining the heat increasing reference value of the videos to be released according to the heat increasing state; the invention integrates and processes a plurality of groups of related information of the video to be issued so as to solve the problems of single evaluation mode and inaccurate and incomplete prediction of the existing video heat evaluation method.
Description
Technical Field
The invention relates to the technical field of data analysis and processing, in particular to a video heat prediction method and device based on data analysis.
Background
Video popularity is generally understood to be the click-through rate of the video. It is a percentage of the number of times a certain content on the web page is clicked and displayed. Which reflects the degree of interest of a content on a web page, is often used to measure the attractiveness of an advertisement. The short video is a short video, is an internet content transmission mode, and is generally a video transmitted on an internet new medium within 5 minutes; with the popularization of mobile terminals and the increasing speed of networks, short and fast mass flow transmission contents are gradually favored by various large platforms, fans and capital.
In the prior art, the evaluation is usually performed on the basis of the self vermicelli amount of the release main body and the heat of the historical release video in the evaluation process of the heat of the video, the prediction mode is single, and the accurate and comprehensive heat prediction is difficult to achieve.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a video heat prediction method and a video heat prediction device based on data analysis, and the problems that the existing video heat evaluation method is single in evaluation mode and not accurate and comprehensive in prediction are solved by integrating multiple groups of relevant information of a video to be published.
In order to realize the purpose, the invention is realized by the following technical scheme: the video heat prediction method based on data analysis comprises the following steps:
step S1, setting a calculation model of the video heat value, and calculating the heat value of one video according to the calculation model of the video heat value;
step S2, classifying the video to be published, then acquiring the heat value of the video to be published in a first time period before the video to be published and in a first ranking number before the video to be published is published, and obtaining the basic heat value of the video to be published by acquiring the heat value of the video;
step S3, acquiring the heat increasing state of the videos of the same type being published in the current state in the first publishing time, and solving a heat increasing reference value of the video to be published according to the heat increasing state;
and step S4, after the video to be published is published, acquiring the heat increasing state of the video in the first publishing time, and then combining the basic heat value and the heat increasing reference value to obtain the highest heat reference value of the video to be published.
Further, the step S1 further includes a step a1, and the step a1 includes: and when the video release time reaches the second release time, acquiring the praise amount, the forwarding amount, the appraisal amount, the collection amount, the download amount and the topic amount of the video, and substituting the praise amount, the forwarding amount, the appraisal amount, the collection amount, the download amount and the topic amount of the video into a video heat value processing formula to obtain the heat value of the video.
Further, the video heat value processing formula is configured to:
Further, the step S2 further includes a step B1, and the step B1 includes: substituting the acquired heat values of videos of the same type of the videos to be published in a first time period before the videos are published and in a first ranking number before the videos are published into a same type heat processing formula to obtain the same type heat value;
and then acquiring the total number of fans of videos of the same type of videos to be published and the videos with the first ranking number in the first time period before the videos are published, and substituting the total number of fans and the heat value of the same type into a heat basic formula to obtain a basic heat value.
Further, the same type of heat treatmentThe formula is configured as:
(ii) a Ptl are same-type heat values, Psr1 to Psrn are heat values of videos of the same type of videos to be published in a first time period before publication and in a first ranking number before publication, n is the first ranking number, and the heat basic formula is configured as follows:
(ii) a Wherein Pjc is the basic calorific value, and Sfsz is the total vermicelli amount.
Further, the step S3 further includes a step C1, and the step C1 includes: the method comprises the steps of obtaining the number of fans of a video to be published, selecting a plurality of videos of which the difference value with the number of fans of the video to be published is within a first fan difference value as reference videos, selecting a plurality of times of heat values of the reference videos of the same type being published in a first time period under the current state, respectively substituting the plurality of times of heat values of each reference video in the first time period into a heat increasing formula to obtain a heat increasing value, then obtaining an average value of the heat increasing values of the plurality of reference videos, and setting the average value as the heat increasing reference value.
Further, the heat growth formula is configured to:
Further, the step S4 further includes a step D1, and the step D1 includes: after the video to be published is published, acquiring the heat value of the video to be published for a plurality of times in a first time period, and substituting the heat value of the video to be published for a plurality of times in the first time period into a heat increasing formula to obtain the heat increasing value of the video to be published;
and substituting the heat increment value of the video to be published, the vermicelli amount of the video to be published, the basic heat value and the heat increment reference value into a heat calculation formula of the video to be published to obtain the highest heat reference value of the video to be published.
Further, the heat calculation formula is configured to:
(ii) a The method comprises the following steps of obtaining Pzgc and Sfsd, wherein Pzgc is a highest heat reference value, Pzzd is a heat increment value of a video to be published, and Sfsd is the powder silk amount of the video to be published.
The video heat prediction device based on data analysis comprises a processor, wherein a video heat prediction module is arranged in the processor, and the video heat prediction module comprises a video heat prediction method based on data analysis.
The invention has the beneficial effects that: firstly, calculating the heat value of a video according to a calculation model of the heat value of the video by setting the calculation model of the heat value of the video; then, classifying the video to be published, acquiring the heat value of the video to be published in a first time period before the video to be published and in a first ranking number before the video to be published is published, and obtaining the basic heat value of the video to be published by acquiring the heat value of the video; obtaining the heat increasing state of the videos of the same type which are being released in the current state within the first releasing time, and obtaining a heat increasing reference value of the videos to be released according to the heat increasing state; and finally, after the video to be published is published, acquiring the heat growth state of the video in the first publishing time, then combining the basic heat value and the heat growth reference value to obtain the highest heat reference value of the video to be published, acquiring the data of the same type of video of the video to be published, and then combining the data published by the video self, so that the comprehensiveness and the accuracy of the prediction of the heat of the video can be improved.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic block diagram of a predictive device of the present invention;
FIG. 2 is a flow chart of a prediction method according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Referring to fig. 1, in a first embodiment, the present invention provides a video heat prediction method and apparatus based on data analysis, which integrate and process multiple groups of related information of a video to be published to solve the problems of single evaluation mode and inaccurate and comprehensive prediction of the existing video heat evaluation method.
The prediction device comprises a processor, wherein a video heat prediction module is arranged in the processor, and the prediction module comprises a heat model establishing unit, a basic heat obtaining unit, a heat growth analysis unit and a heat prediction unit;
the heat model establishing unit is configured with a heat model establishing strategy, and the heat model establishing strategy comprises the following steps: setting a calculation model of the video heat value, and calculating the heat value of one video according to the calculation model of the video heat value; and when the video release time reaches the second release time, acquiring the praise amount, the forwarding amount, the appraisal amount, the collection amount, the download amount and the topic amount of the video, and substituting the praise amount, the forwarding amount, the appraisal amount, the collection amount, the download amount and the topic amount of the video into a video heat value processing formula to obtain the heat value of the video.
The basic heat acquisition unit is configured with a basic heat acquisition strategy, and the basic heat acquisition strategy comprises: substituting the heat values of the acquired videos of the same type of the videos to be published in a first time period before the videos are published and in a first ranking number before the videos are published into a heat processing formula of the same type to obtain the heat values of the same type; and then acquiring the total number of fans of videos of the same type of videos to be published and the videos ranked in the first time period before the videos are published and the first ranking number of the videos, and substituting the total number of fans and the heat value of the same type into a heat basic formula to calculate and obtain a basic heat value.
The heat growth analysis unit is configured with a heat growth analysis strategy, and the heat growth analysis strategy comprises: the method comprises the steps of obtaining the number of fans of a video to be published, selecting a plurality of videos of which the difference value with the number of fans of the video to be published is within a first fan difference value as a reference video, selecting a plurality of times of heat values of reference videos of the same type being published in a first time period under the current state, respectively substituting the plurality of times of heat values of each reference video in the first time period into a heat increasing formula to obtain a heat increasing value, then obtaining an average value of the heat increasing values of the plurality of reference videos, and setting the average value as the heat increasing reference value.
The heat prediction unit is configured with a heat prediction strategy, and the heat prediction strategy comprises: after the video to be published is published, acquiring the heat value of the video to be published for a plurality of times in a first time period, and substituting the heat value of the video to be published for a plurality of times in the first time period into a heat increasing formula to obtain the heat increasing value of the video to be published; and substituting the heat increment value of the video to be published, the vermicelli amount of the video to be published, the basic heat value and the heat increment reference value into a heat calculation formula of the video to be published to obtain the highest heat reference value of the video to be published.
Referring to fig. 2, in a second embodiment, the present invention further provides a video heat prediction method based on data analysis, where the prediction method is obtained by refining a video heat prediction module of a prediction apparatus, and the prediction method includes the following steps:
step S1, setting a calculation model of the video heat value, and calculating the heat value of one video according to the calculation model of the video heat value; and when the video release time reaches the second release time, acquiring the praise amount, the forwarding amount, the appraisal amount, the collection amount, the download amount and the topic amount of the video, and substituting the praise amount, the forwarding amount, the appraisal amount, the collection amount, the download amount and the topic amount of the video into a video heat value processing formula to obtain the heat value of the video. The video heat value processing formula is configured to:
(ii) a Psr is a heat value of the video, Ldz, Lzf, Lpl, Lsc, Lxz and Lht are respectively an approval amount, a forwarding amount, an evaluation amount, a collection amount, a download amount and a question amount of the video, l1 is a heat proportion coefficient of the approval amount, l2 is a heat proportion coefficient of the forwarding amount, l3 is a heat proportion coefficient of the evaluation amount, l4 is a heat proportion coefficient of the collection amount, l5 is a heat proportion coefficient of the download amount, and l6 is a heat proportion coefficient of the question amount, wherein l1, l2, l3, l4, l5 and l6 are respectively set according to the specific gravity of the approval amount, the forwarding amount, the evaluation amount, the collection amount, the question amount and the question amount in the heat of the video.
Step S2, classifying the video to be published, then acquiring the heat value of the video to be published in a first time period before the video to be published and in a first ranking number before the video to be published is published, and obtaining the basic heat value of the video to be published by acquiring the heat value of the video; the heat treatment formula of the same type is configured as follows:
(ii) a Ptl is a same-type heat value, Psr1 to Psrn are heat values of videos which are in a first time period before the videos to be published are published and are ranked in a first ranking number, and n is the first ranking number;
substituting the acquired heat values of videos of the same type of the videos to be published in a first time period before the videos are published and in a first ranking number before the videos are published into a same type heat processing formula to obtain the same type heat value; the heat basic formula is configured as follows:
(ii) a Wherein Pjc is the basic calorific value, and Sfsz is the total amount of vermicelli;
and then acquiring the total number of fans of videos of the same type of videos to be published and the videos with the first ranking number in the first time period before the videos are published, and substituting the total number of fans and the heat value of the same type into a heat basic formula to obtain a basic heat value.
Step S3, obtaining the current stateThe method comprises the steps that the heat increasing state of videos of the same type which are being published in a first publishing time is obtained, and a heat increasing reference value of the videos to be published is obtained according to the heat increasing state; acquiring the number of fans of a video to be published, selecting a plurality of videos of which the difference value with the number of fans of the video to be published is within a first fan difference value as reference videos, selecting a plurality of times of heat values of reference videos of the same type which are published in the current state within a first time period, and substituting the plurality of times of heat values of each reference video within the first time period into a heat increasing formula to obtain a heat increasing value; the heat growth formula is configured to:
(ii) a Wherein Pzzc is a heat gain value, Psrc 1 To Psrc m Respectively, the heat value of the reference video for a plurality of times in a first time period, wherein t1 is the first time;
and then, averaging the heat increment values of a plurality of reference videos and setting the average as a heat increment reference value.
Step S4, after the video to be published is published, acquiring the heat growth state of the video in the first publishing time, and then combining the basic heat value and the heat growth reference value to obtain the highest heat reference value of the video to be published; after the video to be published is published, acquiring the heat value of the video to be published for a plurality of times in a first time period, and substituting the heat value of the video to be published for a plurality of times in the first time period into a heat increasing formula to obtain the heat increasing value of the video to be published;
substituting the heat increment value of the video to be published, the vermicelli amount of the video to be published, the basic heat value and the heat increment reference value into a heat calculation formula of the video to be published to obtain the highest heat reference value of the video to be published; the heat calculation formula is configured to:
(ii) a The method comprises the following steps of obtaining a heat value of a video to be published, obtaining Pzgc, Pzzd and Sfsd, wherein the Pzgc is a highest heat reference value, the Pzzd is a heat increment value of the video to be published, and the Sfsd is the filament quantity of the video to be published.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the following descriptions are only illustrative and not restrictive, and that the scope of the present invention is not limited to the above embodiments: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. The video heat prediction method based on data analysis is characterized by comprising the following steps of:
step S1, setting a calculation model of the video heat value, and calculating the heat value of one video according to the calculation model of the video heat value;
step S2, classifying the video to be published, then acquiring the heat value of the video to be published in a first time period before the video to be published and in a first ranking number before the video to be published is published, and obtaining the basic heat value of the video to be published by acquiring the heat value of the video;
step S3, acquiring the heat increasing state of the videos of the same type being published in the current state in the first publishing time, and solving a heat increasing reference value of the video to be published according to the heat increasing state;
and step S4, after the video to be published is published, acquiring the heat increasing state of the video in the first publishing time, and then combining the basic heat value and the heat increasing reference value to obtain the highest heat reference value of the video to be published.
2. The method for predicting video hotness based on data analysis according to claim 1, wherein said step S1 further includes a step A1, said step A1 includes: and when the video release time reaches the second release time, acquiring the praise amount, the forwarding amount, the appraisal amount, the collection amount, the download amount and the topic amount of the video, and substituting the praise amount, the forwarding amount, the appraisal amount, the collection amount, the download amount and the topic amount of the video into a video heat value processing formula to obtain the heat value of the video.
3. The method of claim 2, wherein the video heat value processing formula is configured to:
wherein Psr is a heat value of the video, and Ldz, Lzf, Lpl, Lsc, Lxz and Lht are respectively a praise amount, a forwarding amount, an appraisal amount, a collection amount, a download amount and a question amount of the video, l1 is a heat proportion coefficient of the praise amount, l2 is a heat proportion coefficient of the forwarding amount, l3 is a heat proportion coefficient of the appraisal amount, l4 is a heat proportion coefficient of the collection amount, l5 is a heat proportion coefficient of the download amount, and l6 is a heat proportion coefficient of the question amount.
4. The method for video hotness prediction based on data analysis of claim 3, wherein the step S2 further comprises a step B1, wherein the step B1 comprises: substituting the acquired heat values of videos of the same type of the videos to be published in a first time period before the videos are published and in a first ranking number before the videos are published into a same type heat processing formula to obtain the same type heat value;
and then acquiring the total number of fans of videos of the same type of videos to be published and the videos with the first ranking number in the first time period before the videos are published, and substituting the total number of fans and the heat value of the same type into a heat basic formula to obtain a basic heat value.
5. The method of claim 4, wherein the same type of heat processing formula is configured to:
ptl are same-type heat values, Psr1 to Psrn are heat values of videos of the same type of videos to be published in a first time period before publication and in a first ranking number before publication, n is the first ranking number, and the heat basic formula is configured as follows:
(ii) a Wherein Pjc is the basic calorific value, and Sfsz is the total vermicelli amount.
6. The method for predicting video popularity according to claim 5, wherein the step S3 further includes a step C1, the step C1 includes: the method comprises the steps of obtaining the number of fans of a video to be published, selecting a plurality of videos of which the difference value with the number of fans of the video to be published is within a first fan difference value as a reference video, selecting a plurality of times of heat values of reference videos of the same type being published in a first time period under the current state, respectively substituting the plurality of times of heat values of each reference video in the first time period into a heat increasing formula to obtain a heat increasing value, then obtaining an average value of the heat increasing values of the plurality of reference videos, and setting the average value as the heat increasing reference value.
7. The method of claim 6, wherein the heat growth formula is configured to:
；
wherein Pzzc is a heat gain value, Psrc 1 To Psrc m The heat values of the reference video several times in the first time period, respectively, and t1 is the first time.
8. The method for video hotness prediction based on data analysis of claim 7, wherein the step S4 further comprises a step D1, wherein the step D1 comprises: after the video to be published is published, acquiring the heat value of the video to be published for a plurality of times in a first time period, and substituting the heat value of the video to be published for a plurality of times in the first time period into a heat increasing formula to obtain the heat increasing value of the video to be published;
and substituting the heat increment value of the video to be published, the vermicelli amount of the video to be published, the basic heat value and the heat increment reference value into a heat calculation formula of the video to be published to obtain the highest heat reference value of the video to be published.
9. The method of claim 8, wherein the heat calculation formula is configured to:
the method comprises the following steps of obtaining a heat value of a video to be published, obtaining Pzgc, Pzzd and Sfsd, wherein the Pzgc is a highest heat reference value, the Pzzd is a heat increment value of the video to be published, and the Sfsd is the filament quantity of the video to be published.
10. The apparatus for predicting video heat based on data analysis, the apparatus comprising a processor, a video heat prediction module disposed in the processor, the video heat prediction module comprising the method for predicting video heat based on data analysis according to any one of claims 1 to 9.
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| CN104657496A (en) * | 2015-03-09 | 2015-05-27 | 杭州朗和科技有限公司 | Method and equipment for calculating information hot value |
| CN109040844A (en) * | 2018-09-25 | 2018-12-18 | 有米科技股份有限公司 | A kind of method, apparatus and electronic equipment obtaining video temperature |
| CN114745593A (en) * | 2022-04-08 | 2022-07-12 | 南京福田文化传媒有限公司 | Video playing recommendation system and method based on video big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104657496A (en) * | 2015-03-09 | 2015-05-27 | 杭州朗和科技有限公司 | Method and equipment for calculating information hot value |
| CN109040844A (en) * | 2018-09-25 | 2018-12-18 | 有米科技股份有限公司 | A kind of method, apparatus and electronic equipment obtaining video temperature |
| CN114745593A (en) * | 2022-04-08 | 2022-07-12 | 南京福田文化传媒有限公司 | Video playing recommendation system and method based on video big data |
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