CN115994799B - Advertisement content generation system based on AIGC - Google Patents
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Abstract
The invention provides an AIGC-based advertisement content generation system, which comprises a server, an authentication module, a delivery module, a data acquisition module and a data preprocessing module, wherein the server is respectively connected with the authentication module, the delivery module, the data acquisition module and the data preprocessing module; the data acquisition module is used for acquiring behavior data corresponding to browsing behaviors of the user side for analysis, determining whether to trigger processing operation of the data preprocessing module according to analysis results, the data preprocessing module is used for filtering the behavior data to form a preference data set corresponding to the user side, sending an instruction to the authentication module, the authentication module receiving the instruction sent by the data preprocessing module to trigger keyword extraction on the preference data set, generating matched advertisements according to the keyword extraction results, authenticating the advertisements, and the delivery module transmits the authenticated advertisements to the advertisement terminal for delivery.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an AIGC-based advertisement content generation system.
Background
In the modern internet age, many news sources have split, but the core aspects of news collection and presentation are still typically associated with professional journalists who collect and share information in a manner that incorporates personal identity. While these practices have been able to support some news structures through valuable analysis, the story generation process of selecting professionals to filter information and generate stories is very time consuming and introduces significant delays between event occurrence and presentation of information to news consumers. Furthermore, presentation of advertisements accompanying news has been a supporting source for news creators.
In the conventional advertisement pushing process, a merchant terminal performs service activation through an operator network to obtain an advertisement pushing license, then sends a pushing request and advertisement content to an advertisement pushing server at a network side when pushing an advertisement, and the advertisement pushing server forwards the advertisement content to all user terminals.
Another exemplary advertising, transaction system based on a content-based multimedia authentication code as disclosed in the prior art of CN101859420B, the advertising mode in the prior art mainly has the following problems: firstly, an advertiser cannot objectively monitor the notified effect of the advertisement, and the advertiser needs to bear the loss caused by fraudulent and invalid advertisement clicking, so that a lot of investment of the advertiser does not reach the expected effect; secondly, the targeted group of advertisement delivery is fuzzy, audience directionality and accessibility of advertisements are poor, many advertisers cannot find proper websites to post their advertisements, and many websites do not have proper advertisement sources, so that the main reasons for the two problems are that online transactions of the advertisers and the website owners are difficult.
Meanwhile, when the advertisement is put in the authentication code advertisement, the advertisement cannot select a client group matched with the advertisement content of the advertisement; the website master cannot select advertisement content and authentication code display forms suitable for the content of the website and related visitors, and the advertisement is put without purposefulness and pertinence.
The invention is designed for solving the problems that the intelligent degree is low, interaction cannot be realized, advertising effect cannot be fed back, self-adaption is poor and the like in the prior art.
Disclosure of Invention
The invention aims to provide an AIGC-based advertisement content generation system aiming at the defects existing at present.
In order to overcome the defects in the prior art, the invention adopts the following technical scheme:
an AIGC-based advertisement content generation system comprises a server, an authentication module, a delivery module, a data acquisition module and a data preprocessing module, wherein the server is respectively connected with the authentication module, the delivery module, the data acquisition module and the data preprocessing module;
the data acquisition module is used for acquiring and analyzing behavior data corresponding to browsing behaviors of a user terminal, determining whether to trigger processing operation of the data preprocessing module according to analysis results, the data preprocessing module is used for filtering the behavior data to form a preference data set corresponding to the user terminal and sending an instruction to the authentication module, the authentication module receives the instruction sent by the data preprocessing module to trigger keyword extraction on the preference data set, generates matched advertisements according to the key extraction results and authenticates the advertisements, and the delivery module transmits the authenticated advertisements to the advertisement terminal for delivery;
the authentication module comprises a keyword extraction unit and an advertisement content generation unit, wherein the keyword extraction unit is used for extracting the preference data set, and the advertisement content generation unit generates corresponding advertisement content according to the keyword data extracted by the keyword extraction unit;
and after receiving the instruction of the data preprocessing module, the keyword extraction unit responds to the triggering instruction to extract keywords of the preference data set so as to obtain keyword data corresponding to the preference data.
Optionally, the data preprocessing module includes a data cleaning unit and a data integration unit, the data cleaning unit is used for filtering the behavior data collected by the data collection module, and the data integration unit integrates, de-overlaps and merges the data processed by the data cleaning unit, and constructs a preference data set corresponding to the user side.
Optionally, the data acquisition module includes a data acquisition unit, a memory and a data analysis unit, where the data acquisition unit is configured to acquire user behavior data of the user terminal, the memory stores the user behavior data acquired by the data acquisition unit, and the data analysis unit analyzes the behavior data acquired by the data acquisition unit;
the data acquisition unit comprises a data acquisition unit and an executable program, wherein the executable program is executed at the user demand terminal to acquire a log file generated by the user demand terminal in a browsing process in real time, and the data acquisition unit is used for acquiring user behavior data of the user terminal.
Optionally, the data analysis unit calculates the associated index Support (D) for any keyword D in the behavior data of the data acquisition unit according to the following formula:
wherein, the times is the number of times of the keyword D in the behavior data, and SUM is the total browsing page number of the behavior data corresponding to the browsing behavior of the user terminal;
and if the associated index Support (D) is larger than the monitoring threshold Range of the set keyword D, triggering the data preprocessing module to process the behavior data.
Optionally, the keyword extraction unit calculates the Interest index of the keyword a in the preference dataset of the user u according to the following formula:
wherein alpha is an interest balance factor, the value of which is taken according to an empirical method, S u，a The frequency of occurrence of the keyword of preference data a of the user u is as follows:
wherein a is the number of times that a keyword appears in the preference data set of the user u, b is the total number of all keywords in the preference data set of the user u, G is the total number of documents in the preference data set of the user u, and R is the number of documents containing the a keyword in the preference data set of the user u;
and if the Interest index Interest is higher than a set generation threshold generation rate, triggering the advertisement content generation unit to Generate advertisements matched with the keywords, and authenticating the advertisements.
Optionally, the putting module includes an identity verification unit and a putting unit, the identity verification unit is used for verifying the identity of the advertising terminal, and the putting unit is used for putting the authenticated advertisement in the advertising terminal.
The beneficial effects obtained by the invention are as follows:
1. the data acquisition unit and the data analysis unit are matched with each other, so that the association of keywords in the behavior data is analyzed, the association degree is determined according to the association index, the processing strategy of the behavior data is adjusted, and the accuracy and the reliability of the behavior data are improved;
2. the matching of the keyword extraction unit and the advertisement content generation unit enables the generation of matched advertisements of the advertisement content generation unit to be more accurate, and the self-adaptive generation capacity of the advertisements is improved;
3. through the mutual matching of the identity verification unit and the delivery unit, the identity of the advertising terminal is ensured to be verified, so that the accuracy and the reliability of advertisement delivery are improved;
4. through the mutual cooperation of the identity verification unit and the delivery feedback unit, the identity of the advertising terminal can be identified, so that the feedback data of the advertising terminal can be accurately acquired, and the reliability of the delivery feedback path is improved.
Drawings
The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
Fig. 1 is a schematic block diagram of the overall structure of the present invention.
Fig. 2 is a block diagram of a keyword extraction unit and an advertisement content generation unit of the present invention.
Fig. 3 is a schematic diagram of an analysis flow of the data analysis unit according to the present invention.
Fig. 4 is a schematic flow chart of the authentication module for authenticating an advertisement according to the present invention.
Fig. 5 is a schematic diagram of a feedback analysis flow of the feeding-feedback unit according to the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one:
according to the embodiments shown in fig. 1, fig. 2, fig. 3, fig. 4, and fig. 5, the embodiment provides an advertisement content generating system based on an AIGC, where the advertisement content generating system includes a server, and the advertisement content generating system further includes an authentication module, a delivery module, a data acquisition module, and a data preprocessing module, where the server is connected with the authentication module, the delivery module, the data acquisition module, and the data preprocessing module, respectively;
the data acquisition module is used for acquiring and analyzing behavior data corresponding to browsing behaviors of a user terminal, determining whether to trigger processing operation of the data preprocessing module according to analysis results, the data preprocessing module is used for filtering the behavior data to form a preference data set corresponding to the user terminal and sending an instruction to the authentication module, the authentication module receives the instruction sent by the data preprocessing module to trigger keyword extraction on the preference data set, generates matched advertisements according to the key extraction results and authenticates the advertisements, and the delivery module transmits the authenticated advertisements to the advertisement terminal for delivery;
the advertisement content generation system further comprises a database, advertisement text materials are preset in the database, and the database is arranged in the server;
the advertisement content generation system further comprises a central processor, wherein the central processor is respectively in control connection with the server, the authentication module, the delivery module, the data acquisition module and the data preprocessing module, and the authentication module, the delivery module, the data acquisition module and the data preprocessing module are controlled in a centralized manner based on the central processor;
the authentication module comprises a keyword extraction unit and an advertisement content generation unit, wherein the keyword extraction unit is used for extracting the preference data set, and the advertisement content generation unit generates corresponding advertisement content according to the keyword data extracted by the keyword extraction unit;
after receiving the instruction of the data preprocessing module, the keyword extraction unit responds to the instruction to extract keywords of the preference data set so as to obtain keyword data corresponding to the preference data set;
in this embodiment, the data acquisition module includes a data acquisition unit, a memory, and a data analysis unit, where the data acquisition unit is configured to acquire user behavior data of the user terminal, the memory stores the user behavior data acquired by the data acquisition unit, and the data analysis unit analyzes the user behavior data acquired by the data acquisition unit;
the data acquisition unit comprises a data acquisition unit and an executable program, wherein the executable program is executed at the user demand terminal to acquire a log file generated by the user demand terminal in a browsing process in real time, and the data acquisition unit is used for acquiring user behavior data of the user terminal;
optionally, the data analysis unit is configured to provide the associated index (D) of any keyword D in the behavior data of the data acquisition unit according to the following formula:
wherein, the times is the number of times of the keyword D in the behavior data, the value of the time can be obtained according to the behavior data, the SUM is the total browsing page number of the behavior data corresponding to the browsing behavior of the user terminal, and the value of the time can be obtained according to the behavior data;
if the associated index Support (D) is larger than a monitoring threshold Range of the set keyword D, triggering the data preprocessing module to process the behavior data;
the monitoring threshold Range of the keyword D is set by a system or a manager, which is a technical means well known to those skilled in the art, and those skilled in the art can query related technical manuals to obtain the technology, so that the description is omitted in this embodiment;
the data acquisition unit and the data analysis unit are matched with each other, so that the association of keywords in the behavior data is analyzed, the association degree is determined according to the association index, the processing strategy of the behavior data is adjusted, and the accuracy and the reliability of the behavior data are improved;
optionally, the data preprocessing module includes a data cleaning unit and a data integration unit, the data cleaning unit is used for processing the behavior data acquired by the data acquisition module, and the data integration unit integrates, de-overlaps and merges the data processed by the data cleaning unit, and constructs a preference data set corresponding to the user side;
the cleaning or processing operation of the data cleaning unit includes: in the process, artificial intelligence can be utilized to process the behavior data so as to improve the high efficiency and reliability of data processing;
the above processing operation is a technical means that can be known by a person skilled in the art, and a person skilled in the art can query the related technology to obtain the technology, so in this embodiment, a detailed description is omitted;
the data integration unit receives the integration instruction sent by the data cleaning unit after the data cleaning unit cleans the data, so that the data integration unit triggers the arrangement of preference data after receiving the integration instruction, and forms a preference data set after the arrangement integration;
the means for sorting or summarizing the data by the data integration unit is also a technical means that can be known by a person skilled in the art, and a person skilled in the art can query the related technology to obtain the technology, so in this embodiment, the details are not repeated;
optionally, the keyword extraction unit calculates the Interest index of the keyword a in the preference dataset of the user u according to the following formula:
wherein alpha is an interest balance factor, the value of which is taken according to an empirical method, S u，a The frequency of occurrence of the keyword of preference data a of the user u is as follows:
wherein a is the number of times that a keyword appears in the preference data set of the user u, b is the total number of all keywords in the preference data set of the user u, G is the total number of documents in the preference data set of the user u, and R is the number of documents containing the a keyword in the preference data set of the user u;
and if the Interest index Interest is higher than a set generation threshold generation rate, triggering the advertisement content generation unit to Generate advertisements matched with the keywords, and authenticating the advertisements.
If the Interest index Interest is lower than a set generation threshold generation rate, continuing to monitor the preference data set of the user;
the matching of the keyword extraction unit and the advertisement content generation unit enables the generation of matched advertisements of the advertisement content generation unit to be more accurate, and the self-adaptive generation capacity of the advertisements is improved;
in this embodiment, the set generation threshold generation rate is set by the system or the manager, which is a technical means well known to those skilled in the art, and those skilled in the art can query the related technical manual to obtain the technology, so that the description is not repeated in this embodiment;
the advertisement content generating unit compares the similarity between the keywords determined by the preference data set and advertisement text materials preset in the database in the process of generating matched advertisements, sorts the keywords according to the similarity, and selects the most suitable advertisement text materials in the database to generate;
meanwhile, the similarity comparison can be performed by a method of cosine similarity, jaccard similarity and pearson correlation coefficient, which are technical means well known to those skilled in the art, and those skilled in the art can inquire about the related technical manual to obtain the technology, so that the description is omitted in this embodiment;
optionally, the putting module includes an identity verification unit and a putting unit, the identity verification unit is used for verifying the identity of the advertising terminal, and the putting unit is used for putting the authenticated advertisement in the advertising terminal;
when the identity verification unit verifies the identity of the advertising terminal, the identity verification unit obtains the identity identification code of the advertising terminal and compares the identity identification code with the identity information preset in the system, and if the comparison result is the same identity, the identity verification of the current advertising terminal is proved to pass;
the identity verification unit and the delivery unit are matched with each other, so that the identity of the advertising terminal can be identified, the advertising terminal can be ensured to display advertisements, and the accuracy of advertising delivery and the reliability of a delivery feedback path are improved.
Embodiment two:
the embodiment should be understood to at least include all the features of any one of the foregoing embodiments, and further improve the foregoing embodiments on the basis of the features, as shown in fig. 1, fig. 2, fig. 3, fig. 4, and fig. 5, and further in that the delivery module further includes a delivery feedback unit, where the delivery feedback unit obtains feedback of the advertising terminal, and performs feedback analysis according to the feedback data;
notably, the advertisement terminal and the server after identity verification establish a data mapping relation, so that feedback data and log data of the user in the advertisement terminal can be accurately fed back to the server and the delivery feedback unit, and the delivery feedback terminal can calculate a feedback index according to the feedback data and adaptively adjust or regenerate advertisements according to the feedback index;
the log data comprises records of viewing, browsing or clicking of the displayed advertisement content by a user, and the attitude of the user to the displayed advertisement can be obtained through the log data;
the putting Feedback unit acquires Feedback data of the advertising terminal and calculates a Feedback index Feedback according to the following formula:
wherein beta is a feedback balance factor, the value of which is set by the system or operator (or empirically or experimentally), V a The advertisement value for advertisement b being delivered is as follows:
wherein U is the number of all users, C u,b For the content appeal of the put advertisement b to the user u, R u For user u conversion, the following is satisfied:
in the formula, single PageSessions is the number of times that the user u leaves after browsing only one page, and the value of the number of times can be directly obtained according to the log data; total_sessions is the Total browsing times of the user u to the displayed advertisement b, and the value of the total_sessions can be directly obtained according to the log data;
content appeal C to user u for advertisement b placed u,b The calculation is performed according to the following formula:
if the Feedback index Feedback is lower than a set monitoring threshold monitor, triggering the authentication module to regenerate the matched advertisement;
if the Feedback index feed back is higher than the set monitoring threshold monitor, the advertisement putting effect is expressed to accord with the set expectation, and the matched advertisements do not need to be regenerated;
the set monitoring threshold monitor is set by a system or a manager, which is a technical means well known to those skilled in the art, and those skilled in the art can query related technical manuals to obtain the technology, so that the details are not repeated in this embodiment;
through the cooperation of the delivery feedback unit and the authentication module, the authentication module can be adaptively adjusted according to the feedback of the advertising terminal, so that the interactive cooperation capacity of the whole system is improved, and the whole system is guaranteed to have the advantages of high intelligent degree and self-adaptive advertisement adjustment.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.
Claims (3)
1. The advertisement content generation system based on the AIGC comprises a server, and is characterized by further comprising an authentication module, a delivery module, a data acquisition module and a data preprocessing module, wherein the server is respectively connected with the authentication module, the delivery module, the data acquisition module and the data preprocessing module;
the data acquisition module is used for acquiring and analyzing behavior data corresponding to browsing behaviors of a user terminal, determining whether to trigger processing operation of the data preprocessing module according to analysis results, the data preprocessing module is used for filtering the behavior data to form a preference data set corresponding to the user terminal and sending an instruction to the authentication module, the authentication module receives the instruction sent by the data preprocessing module to trigger keyword extraction on the preference data set, generates matched advertisements according to the key extraction results and authenticates the advertisements, and the delivery module transmits the authenticated advertisements to the advertisement terminal for delivery;
the authentication module comprises a keyword extraction unit and an advertisement content generation unit, wherein the keyword extraction unit is used for extracting the preference data set, and the advertisement content generation unit generates corresponding advertisement content according to the keyword data extracted by the keyword extraction unit;
after receiving the instruction of the data preprocessing module, the keyword extraction unit responds to the instruction to extract keywords of the preference data set so as to obtain keyword data corresponding to the preference data set;
the data acquisition module comprises a data acquisition unit, a memory and a data analysis unit, wherein the data acquisition unit is used for acquiring user behavior data of the user side, the memory stores the user behavior data acquired by the data acquisition unit, and the data analysis unit analyzes the behavior data acquired by the data acquisition unit;
the data acquisition unit comprises a data acquisition unit and an executable program, wherein the executable program is executed at the user demand terminal to acquire a log file generated by the user demand terminal in a browsing process in real time, and the data acquisition unit is used for acquiring user behavior data of the user terminal;
the data analysis unit calculates an associated index Support (D) for any keyword D in the behavior data of the data acquisition unit according to the following:
wherein, the times is the number of times of the keyword D in the behavior data, and SUM is the total browsing page number of the behavior data corresponding to the browsing behavior of the user terminal;
if the associated index Support (D) is larger than a monitoring threshold Range of the set keyword D, triggering the data preprocessing module to process the behavior data;
the keyword extraction unit calculates an Interest index of the keyword a in the preference data set of the user u according to the following formula:
wherein alpha is an interest balance factor, the value of which is taken according to an empirical method, S u，a The frequency of occurrence of the keyword of preference data a of the user u is as follows:
wherein a is the number of times that a keyword appears in the preference data set of the user u, b is the total number of all keywords in the preference data set of the user u, G is the total number of documents in the preference data set of the user u, and R is the number of documents containing the a keyword in the preference data set of the user u;
if the Interest index Interest is higher than a set generation threshold generation rate, triggering the advertisement content generation unit to Generate advertisements matched with the keywords, and authenticating the advertisements;
and the advertisement content generating unit compares the similarity between the keywords determined by the preference data set and advertisement text materials preset in a database in the process of generating matched advertisements, sorts the keywords according to the similarity, and selects the most suitable advertisement text materials in the database for generating.
2. The advertising content generating system based on AIGC as in claim 1, wherein the data preprocessing module includes a data cleansing unit and a data integrating unit, the data cleansing unit is configured to perform filtering processing on the behavior data collected by the data collecting module, and the data integrating unit integrates, de-overlaps and merges the data processed by the data cleansing unit, and constructs a preference data set corresponding to the user terminal.
3. The AIGC-based advertising content generation system of claim 2, wherein the delivery module includes an authentication unit for authenticating the identity of the advertising terminal and a delivery unit for delivering the authenticated advertisement in the advertising terminal.
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| CN111582951A (en) * | 2020-05-28 | 2020-08-25 | 广州蓝深科技有限公司 | Advertisement putting system and method for cloud electronic commerce |
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| CN112434232A (en) * | 2020-11-25 | 2021-03-02 | 浙江兴士烨新材料科技有限公司 | Internet-based product keyword advertisement putting method and system |
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