CN117710029A - Intelligent advertisement analysis management method and system based on blockchain data - Google Patents
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Abstract
The invention discloses an intelligent advertisement analysis management method and system based on blockchain data, which relate to the technical field of computers and comprise the steps of acquiring use records and geographic position information of user electronic products; analyzing, integrating and processing based on the user type data and the using time length to acquire user style preference; performing delivery calculation processing based on user preference and using time, screening the advertisement first subset according to a delivery calculation result, and obtaining an advertisement second subset and an advertisement third subset; and carrying out advertisement putting operation based on the frequency band used by the software, and putting the second advertisement subset and the third advertisement subset into the user electronic product software. The invention provides an intelligent advertisement analysis management method and system based on blockchain data, which are used for realizing intelligent management of advertisements by analyzing the use records and the geographic position information of user electronic products, reducing the aversion of users to the advertisements and improving the benefit of companies to which the advertisements belong.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent advertisement analysis and management method and system based on blockchain data.
Background
Advertisements refer to commercial advertisements which are directly or indirectly promoted for goods or provided with services in the form of characters, pictures, audio, video or other forms through Internet media such as webpages, and the advertisements which are usually put into webpages in the time of a day are limited in times, so that the advertising effect is ensured as much as possible, and the user's objection is not caused.
When the conventional intelligent advertisement analysis and management method manages advertisements, the lack of matching degree analysis and adjustment between advertisement styles and user styles often leads to pushing advertisements which do not accord with the user styles to users, so that the users feel bad to the advertisements, and further the advertisement delivery produces negative propaganda effect.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides an intelligent advertisement analysis and management method and system based on blockchain data, and solves the problems that when the conventional intelligent advertisement analysis and management method provided in the background art is used for managing advertisements, the lack of matching degree analysis and adjustment between advertisement styles and user styles often causes pushing of advertisements which do not accord with the user styles to users, the users feel bad to the advertisements, and further negative propaganda effects are generated in advertisement delivery.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a method and a system for intelligent advertisement analysis and management based on blockchain data comprise the following steps:
acquiring a use record and geographical position information of a user electronic product, wherein the use record comprises user software use data and a corresponding use time length of the user software use data, and analyzing and processing the user software use data to acquire user type data;
analyzing and integrating based on the user type data and the use time length to obtain user style preference, wherein the user style preference comprises a software use frequency band and software browsing content data;
acquiring the style and geographic position information of advertisements in the advertisement putting platform, carrying out matching processing according to the style and user style preference of the advertisements, and determining an advertiser set which accords with the user style preference according to a matching result;
based on the geographic position information of the advertiser set and the geographic position information of the electronic product of the user, carrying out matching processing, and screening out a first advertisement subset which is positioned in the same area with the user;
performing delivery calculation processing based on user style preference and using time, screening the advertisement first subset according to a delivery calculation result, and obtaining an advertisement second subset and an advertisement third subset;
and carrying out advertisement putting operation based on the frequency band used by the software, so that the advertisement putting platform and the user electronic product are in communication connection, and the second advertisement subset and the third advertisement subset are put into the user electronic product software.
Preferably, the analyzing the user software usage data to obtain user type data specifically includes the following steps:
extracting and processing characteristic information based on user software usage data to acquire user characteristic information data;
based on the user characteristic information data and the use time length, carrying out relevant information extraction processing on the user software use data to obtain a user relevant information data set;
generating a unique number containing user characteristic information according to the user characteristic information data;
and integrating the user-related information data set and the unique number according to the relation between the unique number and the user-related information data set to obtain the user-related information data set with the unique number.
Preferably, the extracting the relevant information of the user software usage data based on the user characteristic information data and the usage time length, and obtaining the user relevant information data set specifically includes the following steps:
extracting historical browsing data of the last month from user software;
extracting and processing user software using data according to historical browsing data and using time length, if newly added data appear in the user software using data, the browsing time length is shorter and the browsing times are less, removing the data, and integrating the residual data into preliminary related information data;
and carrying out secondary extraction processing on the primary related information data according to the user characteristic information data to obtain a user related information data set.
Preferably, the analyzing, integrating and processing are performed based on the user type data and the use time length, and the obtaining the user style preference specifically includes the following steps:
extracting user software use times data and software browsing content data from a user related information data set;
analyzing and processing the use times data and the use time length of the user software to obtain a long ranking list of the software use time length;
and integrating the software browsing content data and the long ranking list when the software is used to acquire the style preference of the user.
Preferably, the matching is performed according to the style of the advertisement and the style preference of the user, and the advertiser set conforming to the style preference of the user is determined according to the matching result, which specifically comprises the following steps:
generating a preference value index based on the software browsing content data in the user style preference;
and carrying out matching screening processing on the advertisement delivery platform data based on the preference value indexes, removing the advertisement delivery platform data which does not accord with the preference value indexes, and carrying out integration processing on the rest advertisement delivery platform data to obtain an advertiser set which accords with the user style preference.
Preferably, the matching processing is performed on the geographic position information based on the advertiser set and the geographic position information of the electronic product of the user, and the screening of the advertisement first subset in the same area with the user specifically includes the following steps:
respectively generating an advertising index and an advertising area index in the same area based on the geographic position information of the user electronic product and the geographic position information of the advertiser set;
and carrying out matching screening processing on the advertisement area indexes based on the area advertisement indexes, eliminating the advertisement area indexes which do not accord with the area advertisement indexes, and carrying out integration processing on advertisement delivery platform data corresponding to the rest advertisement area indexes to obtain a first subset of advertisements.
Preferably, the delivering calculation processing is performed based on the user style preference and the use time, the first advertisement subset is screened according to the delivering calculation result, and the second advertisement subset and the third advertisement subset are obtained, which specifically includes the following steps:
advertisement putting calculation processing is carried out based on user style preference and using time length, and putting indexes are obtained;
classifying the advertisement first subset according to the throwing index;
if the using time of the user software is less than or equal to 30 minutes, the time of the put advertisements is 7-10 seconds, and advertisements which meet the time standard of 7-10 seconds in the first advertisement subset are screened out to form a second advertisement subset; if the service time of the user software is longer than 30 minutes, the time of the advertisements is 10-15 seconds, and advertisements which accord with the time standard of 10-15 seconds in the advertisements in the first subset are screened out to form an advertisement third subset.
Preferably, the advertisement delivery calculation formula is:
in the formula, pi is the number of times of delivery, T is the duration of using software by a user, and n is the time interval of delivering advertisements.
Preferably, the advertisement putting operation is performed based on the frequency band used by the software, so that the advertisement putting platform and the user electronic product establish communication connection, and the advertisement second subset and the advertisement third subset are put into the user electronic product software, which specifically comprises the following steps:
when the external time is consistent with the starting time of the software use frequency band, the advertisement putting platform and the user electronic product are in communication connection;
selecting to put advertisements into the user electronic product software according to the duration of the software using frequency band, and putting advertisements in the second subset of advertisements if the duration of the software using frequency band is less than or equal to 30 minutes; if the time period of the software usage frequency band is longer than 30 minutes, advertisements in the third subset of advertisements are placed.
Further, an intelligent advertisement analysis management system based on the blockchain data is provided, which is used for implementing the intelligent advertisement analysis management method based on the blockchain data, and the intelligent advertisement analysis management system comprises the following steps:
the advertisement analysis module is used for acquiring an advertisement mother set according to the style preference of the user, screening an advertisement first subset which is positioned in the same area with the user from the advertisement mother set, and screening an advertisement second subset and an advertisement third subset which accord with the delivery index from the advertisement first subset;
the advertisement delivery module is electrically connected with the advertisement analysis module, is in communication connection with the user electronic product and is used for delivering advertisements conforming to the second advertisement subset and the third advertisement subset in the advertisement delivery platform to the user electronic product software;
the geographic position acquisition module is in communication connection with the advertisement analysis module and is in communication connection with the user electronic product, and the geographic position acquisition module is used for acquiring geographic position information of the user electronic product;
the integrated calculation module is electrically connected with the advertisement analysis module and is used for analyzing and integrating the use records of the user electronic products to obtain user style preferences and obtaining the release indexes according to the user style preferences and the use time length calculation;
the data acquisition module is in communication connection with the integration calculation module, is in communication connection with the user electronic product, and is used for acquiring a use record in the user electronic product.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an intelligent advertisement analysis management method and system based on blockchain data, which are used for obtaining user style preference by analyzing the use record of a user electronic product, in addition, the geographic position information of the user electronic product is obtained, advertisements conforming to the user style are obtained based on the user style preference, and companies which issue advertisements in the same area with the user are screened out by combining the geographic position information of the user electronic product, so that the user can purchase products of a heart meter more conveniently and easily or can obtain required information more quickly, the aversion of the user to the advertisements is reduced, and in addition, the benefit of the company to which the advertisements belong is improved.
Drawings
FIG. 1 is a flowchart of steps S100-S600 in a block chain data-based intelligent advertisement analysis and management method according to the present invention;
FIG. 2 is a flowchart of steps S101-S104 in the intelligent advertisement analysis and management method based on blockchain data according to the present invention;
FIG. 3 is a flowchart of steps S1021-S1023 in the intelligent advertisement analysis and management method based on blockchain data according to the present invention;
FIG. 4 is a flowchart of steps S201-S203 in the intelligent advertisement analysis and management method based on blockchain data according to the present invention;
FIG. 5 is a flowchart of steps S301-S302 in the intelligent advertisement analysis and management method based on blockchain data according to the present invention;
FIG. 6 is a flowchart of steps S401-S402 in the intelligent advertisement analysis and management method based on blockchain data according to the present invention;
FIG. 7 is a flowchart of steps S501-S503 in the intelligent advertisement analysis and management method based on blockchain data according to the present invention;
FIG. 8 is a flowchart of steps S601-S602 in the intelligent advertisement analysis and management method based on blockchain data according to the present invention;
FIG. 9 is a block diagram illustrating a block chain data based intelligent advertisement analysis management system according to the present invention.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1, a method for intelligent advertisement analysis and management based on blockchain data includes:
s100, acquiring a use record and geographical position information of the electronic product of the user, wherein the use record comprises user software use data and use time length corresponding to the user software use data, and analyzing and processing the user software use data to acquire user type data;
s200, analyzing and integrating based on user type data and using time length to obtain user style preference, wherein the user style preference comprises a software using frequency band and software browsing content data;
s300, acquiring style and geographic position information of advertisements in the advertisement delivery platform, performing matching processing according to the styles of the advertisements and user style preferences, and determining an advertiser set which accords with the user style preferences according to matching results;
s400, carrying out matching processing based on the geographic position information of the advertiser set and the geographic position information of the electronic product of the user, and screening out a first advertisement subset which is positioned in the same area with the user;
s500, carrying out delivery calculation processing based on user style preference and use time, and screening the advertisement first subset according to a delivery calculation result to obtain an advertisement second subset and a third advertisement subset;
s600, carrying out advertisement putting operation based on a software use frequency band, so that a communication connection is established between the advertisement putting platform and the user electronic product, and putting the second advertisement subset and the third advertisement subset into the user electronic product software;
in this embodiment, analysis and integration are performed on the usage record of the consumer electronic product, user software usage data is extracted from the usage record, consumption data and browsing data in the user software usage data are extracted, the consumption data and the browsing data are used as a part of reference data for evaluating user style preference, the consumption data and the browsing data can enable evaluation of user style preference to be more accurate, follow-up advertisement casting can be accurate, and aversion of users to advertisements can be reduced.
It can be understood that the advertisement can be put on the geographic position information of the user and the style preference of the user, so that the user can acquire the required information more conveniently and purchase the products of the heart instrument more conveniently, and in addition, the popularity and the benefit of the company to which the advertisement belongs are improved.
Referring to fig. 2, the related information extraction processing is performed on the user software usage data based on the user characteristic information data and the usage time, and the obtaining of the user related information data set specifically includes the following steps:
s101, carrying out characteristic information extraction processing based on user software usage data to obtain user characteristic information data;
s102, carrying out relevant information extraction processing on user software use data based on user characteristic information data and use time duration to obtain a user relevant information data set;
s103, generating a unique number containing user characteristic information according to the user characteristic information data;
s104, integrating the user related information data set and the unique number according to the relation between the unique number and the user related information data set to obtain the user related information data set with the unique number;
it can be understood that the unique number contains key information such as gender and age of the user, and the user related information data set contains usual consumption records, browse records, aversion values to advertisements and contents of a certain product, so that each user has a unique number, and the archive of each person is used for example, the archive records rewards, punishments and cultural degrees, the cover of the archive writes names and addresses, and the user related information data set with the unique number acts on the archive type.
In this embodiment, the gender and age of the user need to be distinguished, for example, a male is interested in games, delicacies and the like, and a female is interested in cosmetics, travel and the like, so that different advertisements are put on for different people, and advertisements of corresponding brands are pushed to the user according to the consumption records and the browsing records of the user.
It can be appreciated that users in different ages are distinguished, for example, a male about 18 to 25 years old is interested in games, and a male about 25 to 45 years old is likely to be interested in families, health maintenance and the like, so that accurate casting and releasing of advertisements can accord with expected values of user mind, and the users can acquire information needed by themselves from information of the advertisements.
Referring to fig. 3, the related information extraction processing is performed on the user software usage data based on the user characteristic information data and the usage time, and the obtaining of the user related information data set specifically includes the following steps:
s1021, extracting historical browsing data of the last month from user software;
s1022, extracting and processing the user software use data according to the historical browse data and the use time length, if new data appear in the user software use data, the browse time length is shorter and the browse times are less, removing the data, and integrating the residual data into preliminary related information data;
s1023, carrying out secondary extraction processing on the primary related information data according to the user characteristic information data to obtain a user related information data set;
in this embodiment, the electronic product owner may use the electronic product unintentionally, but the browsing data is recorded, and the historical browsing data of the user in the last month is needed to be compared and screened, so that the browsing data may need to be cleared, so as to reduce the aversion value of the user to the advertisement.
Referring to fig. 4, the analysis and integration process is performed based on the user type data and the usage time, and the obtaining of the user style preference specifically includes the following steps:
s201, extracting user software use times data and software browsing content data from a user related information data set;
s202, analyzing and processing the use times data and the use time length of the user software to obtain a long-time ranking list of the software;
s203, integrating the software browsing content data and the long ranking list when the software is used to acquire user style preference;
in this embodiment, advertisements with different durations and different frequencies are put into different software according to a long-term ranking list of user software, for example, the use duration of a WeChat friend circle of a user is 2 hours, and the use duration of a QQ space is 30 minutes, so that advertisements with different durations and different frequencies need to be put into the advertisement, the total duration and the times of putting advertisements should be properly increased for software with more use durations, and the content duration of putting advertisements should be shorter for software with shorter use durations, but the putting times may be properly increased.
Referring to fig. 5, the matching according to the style of the advertisement and the user style preference, and determining the advertiser set according to the user style preference according to the matching result, specifically includes the following steps:
s301, generating a preference value index based on software browsing content data of user style preference;
s302, carrying out matching screening processing on advertisement delivery platform data based on preference value indexes, removing advertisement delivery platform data which does not accord with the preference value indexes, and carrying out integration processing on the rest advertisement delivery platform data to obtain an advertiser set which accords with the style preference of a user;
it will be appreciated that there are a wide variety of advertisements in the advertising platform, but some of the advertising content may be objectionable to the user, and therefore, screening of the advertisements in the advertising platform is required to ensure that the advertisements delivered conform to the user's consumption records and browsing records.
Referring to fig. 6, the matching process is performed based on the geographic location information of the advertiser set and the geographic location information of the electronic product of the user, and the screening of the advertisement first subset located in the same area as the user specifically includes the following steps:
s401, respectively generating an advertising index and an advertising area index in the same area based on the geographic position information of the user electronic product and the geographic position information of the advertiser set;
s402, carrying out matching screening treatment on advertisement area indexes based on the area advertisement indexes, eliminating advertisement area indexes which do not accord with the area advertisement indexes, and carrying out integration treatment on advertisement delivery platform data corresponding to the rest advertisement area indexes to obtain a first advertisement subset;
in this embodiment, a part of advertisements in the same area are pushed to the user according to the geographic location information of the user, so that the user can more conveniently shop, for example, a certain market in the area is promoted, the advertisement is put into the user software when the user needs or the user has purchased the product, after the user opens the software, the user notices the advertisement, and possibly goes to the market, so that the user can buy the product with equal amount with less money, the awareness and benefit of the market are improved, and in addition, the conflict of the user to the advertisement is reduced.
Referring to fig. 7, performing a delivery calculation process based on user preference and usage time, and screening the first advertisement subset according to a delivery calculation result to obtain a second advertisement subset and a third advertisement subset, wherein the method specifically comprises the following steps:
s501, carrying out advertisement putting calculation processing based on user style preference and using time length to obtain putting indexes;
s502, classifying the advertisement first subset according to the throwing index;
s503, if the using time of the user software is less than or equal to 30 minutes, the time of the put advertisements is 7-10 seconds, and advertisements which meet the time standard of 7-10 seconds in the first advertisement subset are screened out to form a second advertisement subset; if the service time of the user software is longer than 30 minutes, the time of the advertisements is 10-15 seconds, and advertisements which accord with the time standard of 10-15 seconds in the advertisements in the first subset are screened out to form an advertisement third subset;
the advertisement putting calculation formula is as follows:
wherein Pi is the number of times of delivery, T is the duration of the user using the software, and n is the time interval of delivering advertisements;
it will be appreciated that the advertisements in the first subset of advertisements are user-style preferred, but that some advertisements may be of a longer content and may be disliked by the user, and therefore, it is desirable to filter the advertisements in the first subset of advertisements, filter advertisements that are within the tolerance of the user, and reorganize such advertisements into the second subset of advertisements and the third subset of advertisements.
In this embodiment, the specific value of n is the aversion value of the advertisement by the user at ordinary times, if the aversion value is low, the value of n is appropriately increased, if the aversion value is high, the value of n is appropriately decreased, and for each time the user uses the software, the advertisement is placed for a long time, if the use time of a certain software of the user is less than 30 minutes, the advertisement content is placed for 7-10 seconds, if the advertisement content is too long, the aversion of the user may be caused, if the use time of a certain software of the user is more than 30 minutes, the advertisement content is placed for 10-15 seconds, but because of the uncertainty of the user closing the software, the advertisement is corrected for the user, for example, the use time of the software is 25 minutes yesterday, and the advertisement is placed for 5 minutes once, but the use time of the software is 23 minutes and the advertisement placement times is less than 5 times, so the advertisement placement times need to be corrected by introducing the correction formula here:
T r ＝|T n -T y |；
wherein T is r The correction duration is used for the software of the user today; t (T) n For the use duration of the software today of the user, T y The software use duration is yesterday for the user;
in the above formula, if the service time of the present software is 23 minutes and the service time of the present software is 25 minutes yesterday, the correction time is 2 minutes, the predicted service time of the present software is subtracted by 2 minutes, and then the advertisement putting number of times of the present software is calculated by using an advertisement putting calculation formula.
Referring to fig. 8, the advertisement putting operation is performed based on the frequency band used by the software, so that the advertisement putting platform and the consumer electronic product establish communication connection, and the second subset of advertisements and the third subset of advertisements are put into the consumer electronic product software, which specifically comprises the following steps:
s601, when the external time is consistent with the initial time of a software use frequency band, the advertisement putting platform and the user electronic product are in communication connection;
s602, selecting to put advertisements into the user electronic product software according to the duration of the software use frequency band, and putting advertisements in the second subset of advertisements if the duration of the software use frequency band is less than or equal to 30 minutes; if the time period of the software usage frequency band is longer than 30 minutes, advertisements in the third subset of advertisements are placed.
In this embodiment, the service time length of the present software is predicted to be equal to the service time length of the present software according to the service time length of the present user software, and if not, the present user software is corrected by using the correction formula in the above embodiment; and selecting the content of the advertisement according to the use frequency band and the use time of yesterday user software, and establishing communication connection with the user electronic product through the advertisement release platform to release the advertisement.
Referring to fig. 9, an intelligent advertisement analysis management system based on blockchain data includes:
the advertisement analysis module is used for acquiring an advertisement mother set according to the style preference of the user, screening an advertisement first subset which is positioned in the same area with the user from the advertisement mother set, and screening an advertisement second subset and an advertisement third subset which accord with the delivery index from the advertisement first subset;
the advertisement delivery module is electrically connected with the advertisement analysis module, is in communication connection with the user electronic product and is used for delivering advertisements conforming to the second advertisement subset and the third advertisement subset in the advertisement delivery platform to the user electronic product software;
the geographic position acquisition module is in communication connection with the advertisement analysis module and is in communication connection with the user electronic product, and the geographic position acquisition module is used for acquiring geographic position information of the user electronic product;
the integrated calculation module is electrically connected with the advertisement analysis module and is used for analyzing and integrating the use records of the user electronic products to obtain user style preferences and obtaining the release indexes according to the user style preferences and the use time length calculation;
the data acquisition module is in communication connection with the integration calculation module, is in communication connection with the user electronic product, and is used for acquiring a use record in the user electronic product.
The intelligent advertisement analysis management system based on the blockchain data comprises the following working processes:
step one: the data acquisition module and the geographic position acquisition module acquire the use record and the geographic position information of the user electronic product;
step two: the integration calculation module determines user style preference and release indexes according to the use records and the use time length;
step three: the advertisement analysis module determines a second subset of advertisements and a third subset of advertisements according to the user style preference and the geographic position information of the user electronic product;
step four: and the advertisement putting module puts advertisements into the user electronic products according to the software using frequency band and the using time.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The intelligent advertisement analysis and management method based on the blockchain data is characterized by comprising the following steps of:
acquiring a use record and geographical position information of a user electronic product, wherein the use record comprises user software use data and a corresponding use time length of the user software use data, and analyzing and processing the user software use data to acquire user type data;
analyzing and integrating based on the user type data and the use time length to obtain user style preference, wherein the user style preference comprises a software use frequency band and software browsing content data;
acquiring the style and geographic position information of advertisements in the advertisement putting platform, carrying out matching processing according to the style and user style preference of the advertisements, and determining an advertiser set which accords with the user style preference according to a matching result;
based on the geographic position information of the advertiser set and the geographic position information of the electronic product of the user, carrying out matching processing, and screening out a first advertisement subset which is positioned in the same area with the user;
performing delivery calculation processing based on user style preference and using time, screening the advertisement first subset according to a delivery calculation result, and obtaining an advertisement second subset and an advertisement third subset;
and carrying out advertisement putting operation based on the frequency band used by the software, so that the advertisement putting platform and the user electronic product are in communication connection, and the second advertisement subset and the third advertisement subset are put into the user electronic product software.
2. The intelligent advertisement analysis and management method based on the blockchain data according to claim 1, wherein the analyzing and processing the user software usage data to obtain the user type data specifically comprises the following steps:
extracting and processing characteristic information based on user software usage data to acquire user characteristic information data;
based on the user characteristic information data and the use time length, carrying out relevant information extraction processing on the user software use data to obtain a user relevant information data set;
generating a unique number containing user characteristic information according to the user characteristic information data;
and integrating the user-related information data set and the unique number according to the relation between the unique number and the user-related information data set to obtain the user-related information data set with the unique number.
3. The intelligent advertisement analysis and management method based on the blockchain data according to claim 2, wherein the related information extraction processing is performed on the user software usage data based on the user characteristic information data and the usage time, and the step of obtaining the user related information data set specifically comprises the following steps:
extracting historical browsing data of the last month from user software;
extracting and processing user software using data according to historical browsing data and using time length, if newly added data appear in the user software using data, the browsing time length is shorter and the browsing times are less, removing the data, and integrating the residual data into preliminary related information data;
and carrying out secondary extraction processing on the primary related information data according to the user characteristic information data to obtain a user related information data set.
4. The intelligent advertisement analysis and management method based on blockchain data as in claim 3, wherein the analyzing and integrating process is performed based on the user type data and the time of use, and the obtaining of the user style preference specifically comprises the following steps:
extracting user software use times data and software browsing content data from a user related information data set;
analyzing and processing the use times data and the use time length of the user software to obtain a long ranking list of the software use time length;
and integrating the software browsing content data and the long ranking list when the software is used to acquire the style preference of the user.
5. The intelligent advertisement analysis and management method based on blockchain data as set forth in claim 4, wherein the matching is performed according to the style of the advertisement and the style preference of the user, and the advertiser set conforming to the style preference of the user is determined according to the matching result, comprising the steps of:
generating a preference value index based on the software browsing content data in the user style preference;
and carrying out matching screening processing on the advertisement delivery platform data based on the preference value indexes, removing the advertisement delivery platform data which does not accord with the preference value indexes, and carrying out integration processing on the rest advertisement delivery platform data to obtain an advertiser set which accords with the user style preference.
6. The method for intelligent advertisement analysis and management based on blockchain data according to claim 5, wherein the matching process is performed on the geographic location information of the advertiser set and the geographic location information of the electronic product of the user, and the step of screening the advertisement first subset located in the same area as the user specifically comprises the following steps:
respectively generating an advertising index and an advertising area index in the same area based on the geographic position information of the user electronic product and the geographic position information of the advertiser set;
and carrying out matching screening processing on the advertisement area indexes based on the area advertisement indexes, eliminating the advertisement area indexes which do not accord with the area advertisement indexes, and carrying out integration processing on advertisement delivery platform data corresponding to the rest advertisement area indexes to obtain a first subset of advertisements.
7. The intelligent advertisement analysis and management method based on blockchain data according to claim 6, wherein the delivering calculation processing is performed based on user style preference and use time, the delivering calculation result is used for screening the advertisement first subset, and the obtaining the advertisement second subset and the advertisement third subset specifically comprises the following steps:
advertisement putting calculation processing is carried out based on user style preference and using time length, and putting indexes are obtained;
classifying the advertisement first subset according to the throwing index;
if the using time of the user software is less than or equal to 30 minutes, the time of the put advertisements is 7-10 seconds, and advertisements which meet the time standard of 7-10 seconds in the first advertisement subset are screened out to form a second advertisement subset; if the service time of the user software is longer than 30 minutes, the time of the advertisements is 10-15 seconds, and advertisements which accord with the time standard of 10-15 seconds in the advertisements in the first subset are screened out to form an advertisement third subset.
8. The intelligent advertisement analysis and management method based on blockchain data as in claim 7, wherein the advertisement placement calculation formula is:
in the formula, pi is the number of times of delivery, T is the duration of using software by a user, and n is the time interval of delivering advertisements.
9. The intelligent advertisement analysis management method based on blockchain data according to claim 7, wherein the advertisement putting operation is performed based on the software using frequency band, so that the advertisement putting platform and the consumer electronic product establish communication connection, and the advertisement second subset and the advertisement third subset are put into the consumer electronic product software, specifically comprising the following steps:
when the external time is consistent with the starting time of the software use frequency band, the advertisement putting platform and the user electronic product are in communication connection;
selecting to put advertisements into the user electronic product software according to the duration of the software using frequency band, and putting advertisements in the second subset of advertisements if the duration of the software using frequency band is less than or equal to 30 minutes; if the time period of the software usage frequency band is longer than 30 minutes, advertisements in the third subset of advertisements are placed.
10. A blockchain data-based intelligent advertisement analysis management system for implementing a blockchain data-based intelligent advertisement analysis management method as set forth in any of claims 1-9, comprising:
the advertisement analysis module is used for acquiring an advertisement mother set according to the style preference of the user, screening an advertisement first subset which is positioned in the same area with the user from the advertisement mother set, and screening an advertisement second subset and an advertisement third subset which accord with the delivery index from the advertisement first subset;
the advertisement delivery module is electrically connected with the advertisement analysis module, is in communication connection with the user electronic product and is used for delivering advertisements conforming to the second advertisement subset and the third advertisement subset in the advertisement delivery platform to the user electronic product software;
the geographic position acquisition module is in communication connection with the advertisement analysis module and is in communication connection with the user electronic product, and the geographic position acquisition module is used for acquiring geographic position information of the user electronic product;
the integrated calculation module is electrically connected with the advertisement analysis module and is used for analyzing and integrating the use records of the user electronic products to obtain user style preferences and obtaining the release indexes according to the user style preferences and the use time length calculation;
the data acquisition module is in communication connection with the integration calculation module, is in communication connection with the user electronic product, and is used for acquiring a use record in the user electronic product.
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