CN112052353A - Advertisement video retrieval method and intelligent terminal - Google Patents

Advertisement video retrieval method and intelligent terminal Download PDF

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CN112052353A
CN112052353A CN202010723791.6A CN202010723791A CN112052353A CN 112052353 A CN112052353 A CN 112052353A CN 202010723791 A CN202010723791 A CN 202010723791A CN 112052353 A CN112052353 A CN 112052353A
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advertisement
video
advertisement video
data
index data
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张征
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Guangzhou Avanti Electronic Technology Co ltd
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Guangzhou Avanti Electronic Technology Co ltd
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    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73Querying
    • G06F16/735Filtering based on additional data, e.g. user or group profiles
    • 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
    • G06F16/73Querying
    • G06F16/738Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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    • 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
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    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0276Advertisement creation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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Abstract

The invention provides an advertisement video retrieval method and an intelligent terminal, wherein the advertisement video retrieval method comprises the following steps: s101: monitoring a preset account related to a brand party, and acquiring and storing advertisement index data of the preset account; s102: receiving an input advertisement query instruction, and querying advertisement video data and advertisement index data related to the advertisement video data according to keywords in the advertisement query instruction; s103: and obtaining effective information in advertisement index data related to the advertisement video data, sequencing the advertisement video data according to the effective information, and sending the sequenced advertisement video data to a user. According to the method and the device, the advertisement index data of the preset account are obtained and stored, and the related advertisement videos are sequenced through the effective information of the advertisement index data during query, so that the advertisement videos related to brand parties can be rapidly queried, the retrieval time and the consumed energy are reduced, the retrieval accuracy is improved, and references can be better provided for advertisement video production.

Description

Advertisement video retrieval method and intelligent terminal
Technical Field
The invention relates to the field of video retrieval, in particular to an advertisement video retrieval method and an intelligent terminal.
Background
With the rise of live broadcast platforms and short video APPs, more and more brands begin to use live broadcast platforms or short video APPs to perform advertisement delivery, for example, cooperate with some live broadcast net reds or short video bloggers, and promote products by using celebrity effects, or directly use the identity of brand merchants to perform live broadcast or publish advertisement videos to perform product promotion.
When a brand party makes an advertisement video, how to make the advertisement video of the brand party is usually conceived by similar advertisement videos contacted by the brand party, and the brand party only depends on the experience of a maker to make creation. However, the contact area of people is limited, so that people cannot know so many advertisement videos on the market, usually, related advertisement videos are retrieved by performing keyword search through a live broadcast platform or a short video APP, but many omissions are generated when the search is performed through keywords through the live broadcast platform or the short video APP, and there may be many text descriptions during release that do not have the searched keywords but the actual video content is related advertisement videos; moreover, searching and consulting the related advertising videos by using different keywords as much as possible manually consumes much time and energy, is inefficient, and generally has no way to fully refer to creatives of similar advertising videos.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an advertisement video retrieval method and an intelligent terminal, advertisement index data of a preset account are obtained and stored by monitoring the preset account related to a brand party, and related advertisement videos are sequenced through effective information of the advertisement index data during query, so that the advertisement videos related to the brand party can be rapidly queried, the retrieval time and the consumed energy are reduced, the retrieval accuracy is improved, and references can be better provided for advertisement video production.
In order to solve the above problems, the present invention adopts a technical solution as follows: an advertisement video retrieval method, comprising: s101: monitoring a preset account related to a brand party, and acquiring and storing advertisement index data of the preset account; s102: receiving an input advertisement query instruction, and querying advertisement video data and advertisement index data related to the advertisement video data according to keywords in the advertisement query instruction; s103: and obtaining effective information in advertisement index data related to the advertisement video data, sequencing the advertisement video data according to the effective information, and sending the sequenced advertisement video data to a user.
Further, the preset account is a video account for sending an advertisement video through a video platform, and the type of a product in the advertisement video is the same as that of a product of the brand party.
Further, the advertisement index data comprises the number of fans, the number of praise of the advertisement video, the number of comments and the comment content.
Further, the step of obtaining effective information in the advertisement index data related to the advertisement video data specifically includes: and screening out negative comments in the comment content through a negative comment screening model to obtain positive comments, and obtaining the number of praise in the advertisement index data.
Further, the step of sorting the advertisement video data according to the effective information specifically includes: and sequencing the advertisement video data according to the number of the positive comments and the number of praises.
Further, the advertisement video data includes at least one of advertisement video, advertisement video address, advertisement video name, and advertisement video content.
Further, the step of acquiring and storing the advertisement index data of the preset account specifically includes: and acquiring the advertisement index data, and storing the advertisement index data and the advertisement video data related to the advertisement index data in a database in a keyword classification mode.
Further, the keyword includes at least one of a product name, a type, and a manufacturer.
Further, the step of sorting the advertisement video data according to the effective information further includes: and acquiring a video platform corresponding to the advertisement video data, and determining a video platform suitable for the brand side product according to the advertisement video data sequence in the video platform.
Based on the same inventive concept, the invention further provides an intelligent terminal, which comprises a processor and a memory, wherein the memory stores program data, and the processor executes the advertisement video retrieval method according to the program data.
Compared with the prior art, the invention has the beneficial effects that: through monitoring the preset account number related to the brand party, the advertisement index data of the preset account number are obtained and stored, and the related advertisement videos are sequenced through the effective information of the advertisement index data during query, so that the advertisement videos related to the brand party can be rapidly queried, the retrieval time and the energy consumed are reduced, the retrieval accuracy is improved, and reference can be better provided for advertisement video production.
Drawings
FIG. 1 is a flow chart of an embodiment of an advertisement video retrieval method of the present invention;
FIG. 2 is a block diagram of an embodiment of an intelligent terminal according to the present invention;
fig. 3 is a flowchart of an embodiment of an advertisement video retrieval method executed by a processor in an intelligent terminal according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Referring to fig. 1, fig. 1 is a flowchart illustrating an advertisement video retrieval method according to an embodiment of the present invention. The advertisement video retrieval method of the present invention will be described in detail with reference to fig. 1.
In this embodiment, the advertisement video retrieval method includes:
s101: monitoring a preset account related to a brand party, and acquiring and storing advertisement index data of the preset account.
In this embodiment, a device for executing the advertisement video retrieval method is an intelligent terminal, where the intelligent terminal may be a mobile phone, a tablet computer, a desktop computer, a notebook computer, or other devices capable of monitoring an account, acquiring advertisement index data, and sorting advertisement videos according to the advertisement index data.
In this embodiment, the preset account is a video account for sending an advertisement video through a video platform, and a product in the advertisement video is the same as a product of a brand party in type. Searching videos on a network in a network crawler or other machine searching mode, determining whether the videos are advertisement videos by identifying product description information, video text content, video names, classification and other modes in the videos, and determining account numbers corresponding to the advertisement videos containing products with the same brand party types as preset account numbers.
In other embodiments, the preset account may also be an account of a blogger who frequently issues advertisement videos consistent with brand product types on a plurality of live broadcast platforms or short video APPs, and the account is used as the preset account, and the videos in the account are monitored to obtain advertisement index data.
In this embodiment, the video platform may be a live broadcast platform, a video website, a short video APP, an online shopping website, an online shopping APP, or other software or websites capable of publishing advertisement videos through a network.
In this embodiment, the advertisement index data includes the number of fans, the number of praises of the advertisement video, the number of comments, and the comment content.
In other embodiments, the advertisement target data further includes browsing number, browsing population type distribution, browsing population time distribution, video platform corresponding to the advertisement video, and other data capable of reflecting advertisement effect.
In this embodiment, the step of acquiring and storing the advertisement index data of the preset account specifically includes: and acquiring advertisement index data, and storing the advertisement index data and advertisement video data related to the advertisement index data in a database in a keyword classification mode.
In this embodiment, the content of the advertisement video may be identified by machine identification to obtain a keyword of the advertisement video, and then the advertisement video may be classified according to the keyword. In other embodiments, the keywords corresponding to the advertisement video may also be obtained by identifying at least one of the text, the voice content, and the comment content of the advertisement video, and the advertisement index data and the advertisement video data are classified and stored by the keywords.
In this embodiment, the advertisement video data includes at least one of an advertisement video, an advertisement video address, an advertisement video name, and an advertisement video content, and the corresponding advertisement video is queried through the advertisement video data. The advertisement video content can be advertisement words in the advertisement video or video segments with the most praise and comment in the advertisement video.
In a specific embodiment, the preset account is an account which frequently issues advertisement videos related to vehicles on a live broadcast platform, a microblog and a WeChat, the advertisement videos issued by the account are monitored in real time, advertisement index data in the advertisement videos, such as vehicle models, brands and the like, are extracted, and the data and advertisement video data related to the advertisement index data, such as addresses and names of the advertisement videos, are stored in a database. And the advertisement index data and the advertisement video are stored in the database in a mutual correlation mode, and the stored data are classified according to the types and brands of the keywords.
S102: and receiving an input advertisement query instruction, and querying advertisement video data and advertisement index data related to the advertisement video data according to the keywords in the advertisement query instruction.
In this embodiment, the advertisement query instruction may be received by a manual input method, or a preset instruction may be set, and advertisement video data may be periodically queried according to the preset instruction.
In this embodiment, the keyword includes at least one of a product name, a type, and a manufacturer.
In this embodiment, the advertisement query instruction may be only a keyword, and may also include other limited content, such as a video platform, an object for publishing an advertisement video, an account for publishing the advertisement video, a product type in the advertisement video, and the like, and query corresponding advertisement video data and advertisement index data according to information included in the advertisement query instruction.
In a specific embodiment, the intelligent terminal is a computer, and the computer receives an advertisement query instruction input by a user through a keyboard: and the computer queries advertisement index data of the electric vehicle in the keywords and advertisement video data related to the advertisement index data according to the advertisement query instruction.
S103: and obtaining effective information in advertisement index data related to the advertisement video data, sequencing the advertisement video data according to the effective information, and sending the sequenced advertisement video data to a user.
In this embodiment, the effective information is positive comments and praise numbers, and in other embodiments, the effective information may further include information such as the number of fans, the number of comments, the type of browsing crowd, the browsing time length, and the number of repeated browsing.
In this embodiment, the step of obtaining effective information in advertisement index data related to advertisement video data specifically includes: and screening out negative comments in the comment contents through a negative comment screening model to obtain positive comments, and obtaining the number of praise in the advertisement index data.
In this embodiment, the negative evaluation screening model can be established by a machine learning manner. In a specific embodiment, negative comments and positive comments in the comment data are labeled, modeling and training are performed according to the labeled comment data, wherein an algorithm used for modeling can be a naive Bayes Chinese emotional tendency analysis algorithm.
In other embodiments, positive comments of the comment content may also be screened out to obtain negative comments, which serve as a reference factor for ranking the advertisement video. And the ratio of the number of negative comments to the number of positive comments can be obtained, and the advertisement video data is sorted according to the ratio, the number of praise and other data.
In this embodiment, the step of sorting the advertisement video data according to the effective information specifically includes: and ordering the advertisement video data according to the number of positive comments and the number of praises.
In a specific embodiment, weights are respectively set for the number of positive comments and the number of prawns, and the advertisement video data are sorted according to the sum of the weights corresponding to the number of positive comments and the weights corresponding to the number of prawns.
In other embodiments, weights or influence factors may also be set for other data in the valid information, and the ranking may be performed according to the sum of the weights or influence factors of the valid information.
In this embodiment, the advertisement video data may be sent to the user in a list manner, and the advertisement video corresponding to the advertisement index data may also be directly obtained, and the advertisement video is sent to the user in sequence according to the sorting result.
In this embodiment, when the advertisement video is sent to the user, the same comment, the browsing crowd type, and the repeated browsing times that are the most in each advertisement video may also be sent to the user.
In this embodiment, the step of sorting the advertisement video data according to the effective information further includes: and acquiring a video platform corresponding to the advertisement video data, and determining a video platform suitable for the product of the brand party according to the advertisement video data sequence in the video platform.
In a specific embodiment, after sequencing advertisement video data, websites, APPs, and platforms to which advertisement videos ranked 100 belong are obtained, weights that decrease from large to small are set for the advertisement video data according to the sequencing, and a corresponding video platform is determined according to the sum of the weights of the advertisement video data corresponding to the websites, APPs, and platforms. And a suitable video platform can be selected according to the number of advertisement videos contained in the website, the APP and the platform.
Has the advantages that: according to the advertisement video retrieval method, the preset account related to the brand party is monitored, the advertisement index data of the preset account are obtained and stored, the related advertisement videos are sequenced through the effective information of the advertisement index data during query, the advertisement videos related to the brand party can be rapidly queried, the retrieval time and the consumed energy are reduced, the retrieval accuracy is improved, and references can be better provided for advertisement video production.
Based on the same inventive concept, the present invention further provides an intelligent terminal, please refer to fig. 2 and 3, fig. 2 is a structural diagram of an embodiment of the intelligent terminal of the present invention, fig. 3 is a flowchart of an embodiment of an advertisement video retrieval method executed by a processor in the intelligent terminal of the present invention, and the intelligent terminal of the present invention is described with reference to fig. 2 and 3.
In this embodiment, the intelligent terminal includes a processor and a memory, the memory stores program data, and the processor executes the following advertisement video retrieval method according to the program data:
s201: monitoring a preset account related to a brand party, and acquiring and storing advertisement index data of the preset account.
In this embodiment, a device for executing the advertisement video retrieval method is an intelligent terminal, where the intelligent terminal may be a mobile phone, a tablet computer, a desktop computer, a notebook computer, or other devices capable of monitoring an account, acquiring advertisement index data, and sorting advertisement videos according to the advertisement index data.
In this embodiment, the preset account is a video account for sending an advertisement video through a video platform, and a product in the advertisement video is the same as a product of a brand party in type. Searching videos on a network in a network crawler or other machine searching mode, determining whether the videos are advertisement videos by identifying product description information, video text content, video names, classification and other modes in the videos, and determining account numbers corresponding to the advertisement videos containing products with the same brand party types as preset account numbers.
In other embodiments, the preset account may also be an account of a blogger who frequently issues advertisement videos consistent with brand product types on a plurality of live broadcast platforms or short video APPs, and the account is used as the preset account, and the videos in the account are monitored to obtain advertisement index data.
In this embodiment, the video platform may be a live broadcast platform, a video website, a short video APP, an online shopping website, an online shopping APP, or other software or websites capable of publishing advertisement videos through a network.
In this embodiment, the advertisement index data includes the number of fans, the number of praises of the advertisement video, the number of comments, and the comment content.
In other embodiments, the advertisement target data further includes browsing number, browsing population type distribution, browsing population time distribution, video platform corresponding to the advertisement video, and other data capable of reflecting advertisement effect.
In this embodiment, the step of acquiring and storing the advertisement index data of the preset account specifically includes: and acquiring advertisement index data, and storing the advertisement index data and advertisement video data related to the advertisement index data in a database in a keyword classification mode.
In this embodiment, the content of the advertisement video may be identified by machine identification to obtain a keyword of the advertisement video, and then the advertisement video may be classified according to the keyword. In other embodiments, the keywords corresponding to the advertisement video may also be obtained by identifying at least one of the text, the voice content, and the comment content of the advertisement video, and the advertisement index data and the advertisement video data are classified and stored by the keywords.
In this embodiment, the advertisement video data includes at least one of an advertisement video, an advertisement video address, an advertisement video name, and an advertisement video content, and the corresponding advertisement video is queried through the advertisement video data. The advertisement video content can be advertisement words in the advertisement video or video segments with the most praise and comment in the advertisement video.
In a specific embodiment, the preset account is an account which frequently issues advertisement videos related to vehicles on a live broadcast platform, a microblog and a WeChat, the advertisement videos issued by the account are monitored in real time, advertisement index data in the advertisement videos, such as vehicle models, brands and the like, are extracted, and the data and advertisement video data related to the advertisement index data, such as addresses and names of the advertisement videos, are stored in a database. And the advertisement index data and the advertisement video are stored in the database in a mutual correlation mode, and the stored data are classified according to the types and brands of the keywords.
S102: and receiving an input advertisement query instruction, and querying advertisement video data and advertisement index data related to the advertisement video data according to the keywords in the advertisement query instruction.
In this embodiment, the advertisement query instruction may be received by a manual input method, or a preset instruction may be set, and advertisement video data may be periodically queried according to the preset instruction.
In this embodiment, the keyword includes at least one of a product name, a type, and a manufacturer.
In this embodiment, the advertisement query instruction may be only a keyword, and may also include other limited content, such as a video platform, an object for publishing an advertisement video, an account for publishing the advertisement video, a product type in the advertisement video, and the like, and query corresponding advertisement video data and advertisement index data according to information included in the advertisement query instruction.
In a specific embodiment, the intelligent terminal is a computer, and the computer receives an advertisement query instruction input by a user through a keyboard: and the computer queries advertisement index data of the electric vehicle in the keywords and advertisement video data related to the advertisement index data according to the advertisement query instruction.
S103: and obtaining effective information in advertisement index data related to the advertisement video data, sequencing the advertisement video data according to the effective information, and sending the sequenced advertisement video data to a user.
In this embodiment, the effective information is positive comments and praise numbers, and in other embodiments, the effective information may further include information such as the number of fans, the number of comments, the type of browsing crowd, the browsing time length, and the number of repeated browsing.
In this embodiment, the step of obtaining effective information in advertisement index data related to advertisement video data specifically includes: and screening out negative comments in the comment contents through a negative comment screening model to obtain positive comments, and obtaining the number of praise in the advertisement index data.
In this embodiment, the negative evaluation screening model can be established by a machine learning manner. In a specific embodiment, negative comments and positive comments in the comment data are labeled, modeling and training are performed according to the labeled comment data, wherein an algorithm used for modeling can be a naive Bayes Chinese emotional tendency analysis algorithm.
In other embodiments, positive comments of the comment content may also be screened out to obtain negative comments, which serve as a reference factor for ranking the advertisement video. And the ratio of the number of negative comments to the number of positive comments can be obtained, and the advertisement video data is sorted according to the ratio, the number of praise and other data.
In this embodiment, the step of sorting the advertisement video data according to the effective information specifically includes: and ordering the advertisement video data according to the number of positive comments and the number of praises.
In a specific embodiment, weights are respectively set for the number of positive comments and the number of prawns, and the advertisement video data are sorted according to the sum of the weights corresponding to the number of positive comments and the weights corresponding to the number of prawns.
In other embodiments, weights or influence factors may also be set for other data in the valid information, and the ranking may be performed according to the sum of the weights or influence factors of the valid information.
In this embodiment, the advertisement video data may be sent to the user in a list manner, and the advertisement video corresponding to the advertisement index data may also be directly obtained, and the advertisement video is sent to the user in sequence according to the sorting result.
In this embodiment, when the advertisement video is sent to the user, the same comment, the browsing crowd type, and the repeated browsing times that are the most in each advertisement video may also be sent to the user.
In this embodiment, the step of sorting the advertisement video data according to the effective information further includes: and acquiring a video platform corresponding to the advertisement video data, and determining a video platform suitable for the product of the brand party according to the advertisement video data sequence in the video platform.
In a specific embodiment, after sequencing advertisement video data, websites, APPs, and platforms to which advertisement videos ranked 100 belong are obtained, weights that decrease from large to small are set for the advertisement video data according to the sequencing, and a corresponding video platform is determined according to the sum of the weights of the advertisement video data corresponding to the websites, APPs, and platforms. And a suitable video platform can be selected according to the number of advertisement videos contained in the website, the APP and the platform.
Has the advantages that: according to the intelligent terminal, the preset account related to the brand party is monitored, the advertisement index data of the preset account are obtained and stored, the related advertisement videos are sequenced through the effective information of the advertisement index data during query, the advertisement videos related to the brand party can be rapidly queried, the retrieval time and the consumed energy are reduced, the retrieval accuracy is improved, and references can be better provided for advertisement video production.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.

Claims (10)

1. An advertisement video retrieval method, characterized by comprising:
s101: monitoring a preset account related to a brand party, and acquiring and storing advertisement index data of the preset account;
s102: receiving an input advertisement query instruction, and querying advertisement video data and advertisement index data related to the advertisement video data according to keywords in the advertisement query instruction;
s103: and obtaining effective information in advertisement index data related to the advertisement video data, sequencing the advertisement video data according to the effective information, and sending the sequenced advertisement video data to a user.
2. The advertising video retrieval method of claim 1, wherein the preset account is a video account for sending an advertising video through a video platform, and a product in the advertising video is the same as a product of the brand party in type.
3. The advertising video retrieval method of claim 2, wherein the advertising index data includes the number of fans, the number of likes of the advertising video, the number of comments, and the content of comments.
4. The advertisement video retrieval method according to claim 3, wherein the step of obtaining effective information in the advertisement index data related to the advertisement video data specifically comprises:
and screening out negative comments in the comment content through a negative comment screening model to obtain positive comments, and obtaining the number of praise in the advertisement index data.
5. The advertisement video retrieval method of claim 4, wherein the step of sorting the advertisement video data according to the effective information specifically comprises:
and sequencing the advertisement video data according to the number of the positive comments and the number of praises.
6. The advertisement video retrieval method of claim 1, wherein the advertisement video data includes at least one of an advertisement video, an advertisement video address, an advertisement video name, and an advertisement video content.
7. The advertisement video retrieval method according to claim 1, wherein the step of obtaining and storing the advertisement index data of the preset account specifically includes:
and acquiring the advertisement index data, and storing the advertisement index data and the advertisement video data related to the advertisement index data in a database in a keyword classification mode.
8. The advertising video retrieval method of claim 1, wherein the keyword comprises at least one of a product name, a genre, and a factory home.
9. The advertising video retrieval method of claim 1, wherein the step of sorting the advertising video data according to the effective information further comprises:
and acquiring a video platform corresponding to the advertisement video data, and determining a video platform suitable for the brand side product according to the advertisement video data sequence in the video platform.
10. An intelligent terminal, characterized in that the intelligent terminal comprises a processor, a memory, the memory stores program data, the processor executes the advertisement video retrieval method according to any one of claims 1-9 according to the program data.
CN202010723791.6A 2020-07-24 2020-07-24 Advertisement video retrieval method and intelligent terminal Pending CN112052353A (en)

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