CN116485472A - Accurate advertisement and information delivery system based on Internet and artificial intelligence - Google Patents
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Abstract
The invention discloses an accurate advertisement and information delivery system based on Internet and artificial intelligence, which comprises a data acquisition unit, an object classification unit, a time classification unit, a data analysis unit, a data storage unit and an information output unit.
Description
Technical Field
The invention relates to the technical field of advertisement and information delivery, in particular to a precise advertisement and information delivery system based on the Internet and artificial intelligence.
Background
With the rapid development of internet technology, advertisement delivery has gradually changed from traditional offline delivery modes (e.g., using advertising media such as advertising columns and magazines to present product advertisements to different groups) to online delivery modes, such as online advertisement delivery using various applications or websites.
According to the patent application CN202210747823.5, the method comprises: acquiring an advertisement video to be played from a third-party platform, and distributing identification information for the advertisement video to be played; verifying the content of the advertisement video, and copying the advertisement video after the verification is passed to obtain a first advertisement video and a second advertisement video; adding a subtitle file to the first advertisement video; the first advertisement video with the added caption file and the identification information are sent to a third party platform for storage; and configuring the identification information at the position of the advertisement video to be played, and requesting the first advertisement video corresponding to the identification information to the third party platform for playing according to the identification information when the advertisement video is played. The method and the device solve the problem that the advertisement video of the third-party platform cannot be audited in the prior art, so that the audited advertisement video can be added with the indication information and stored in the third-party platform, and the compliance of advertisement content is guaranteed.
When the existing partial entity store merchants conduct advertisement delivery, on one hand, different users cannot be analyzed by combining big data, so that accurate advertisement delivery cannot be achieved, on the other hand, when the advertisements are delivered, the advertisement delivery cost is increased due to insufficient investigation, and the benefit of the merchants is not improved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a precise advertisement and information delivery system based on the Internet and artificial intelligence, which solves the problems that the precise delivery of different advertisements cannot be realized and the advertisement delivery cost is increased.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the system for accurately advertising and information based on the Internet and artificial intelligence comprises a data acquisition unit, an object classification unit, a data analysis unit, a data storage unit and an information output unit, wherein unidirectional transmission is adopted between the units.
As a further aspect of the invention: the specific analysis mode of the object classification unit on the associated data is as follows:
s1: the male consumption users and the female consumption users are classified according to gender;
s2: the specific way of categorizing male consumer users is as follows:
s21: the ages of male consumption users are specifically divided into [20-30] young years, (30-50 ] middle-aged and older than 50 years;
s3: the classification of the female consumer is performed in the same manner as in the step S2, and redundant description is omitted herein, and classification information is obtained through classification and transmitted to the data analysis unit.
As a further aspect of the invention: the data analysis unit acquires the transmitted classification information and performs an analysis, taking the young man consuming user as an example, and marks the young man consuming user as a target object:
p1: the number n of target objects within thirty days is obtained, and the specific consumption amount Qi of the individual is obtained at the same time, and a summation formula is utilizedCalculating the total consumption amount Qz of all the target objects, and further calculating the average consumption amount of the individual +.>And as a personal consumption standard;
p2: obtaining a consumption type of a target object, wherein the consumption type is exemplified by a shoe monopoly store, and the type of shoes comprises the type in the application, but only a part of types are listed as reference objects, and specific type classification can be modified by an operator and is classified into a sport type and assigned A1, a leisure type assigned A2 and a normal type assigned A3 according to the types;
p21: obtaining consumption numbers of three consumption types A1, A2 and A3 within thirty days, marking the consumption numbers as Mj, wherein j=1, 2 and 3, sequencing Mj from small to large, and selecting the largest consumption type;
p22: then respectively obtaining the minimum value and the maximum value of three consumption type unit price amounts, and recording the minimum value and the maximum value as Q1[ Min1, max1], Q2[ Min2, max2], Q3[ Min3, max3], wherein Min and Max respectively represent the minimum value and the maximum value of sales unit price;
p23: qp is matched with Q1, Q2 and Q3 in the following specific matching modes:
when Qp is located in any interval of Q1, Q2 and Q3, selecting an interval matched with each other, and performing analysis by combining the selected maximum consumption type without processing other intervals, wherein the specific analysis mode is as follows:
if the maximum consumption type is the selected matching interval, not performing any processing, otherwise analyzing the maximum consumption type;
when Qp is not located in any of the intervals Q1, Q2 and Q3, analyzing the maximum consumption type;
p24: the specific analysis of the maximum consumption type in step P23 is as follows:
calculating the maximum total expense amount of Mj, calculating the average expense amount, simultaneously matching the maximum average expense amount of Mj with Q1, Q2 and Q3, selecting proper matching intervals, respectively calculating the average value of the two intervals when the two selected intervals are two, taking the calculated average value as a new price interval, simultaneously selecting the shoe type in the new price interval, and comprehensively arranging the analysis result into decision information;
the analysis mode of the female consumer is the same as that of the same, and redundant description is not made here, and decision information is transmitted to the information output unit;
the information output unit acquires the transmitted decision information and displays the decision information through the display equipment.
As a further aspect of the invention: the advertisement is pushed through different time periods, and the specific analysis mode is as follows:
the data acquisition unit acquires basic data within thirty days of a target object, wherein the target object is a single entity store exclusive store, the basic data comprises time data and the flow rate and sales of people in a single day, the flow rate is defined as the number of people entering the store to calculate, and the basic data is transmitted to the time classification unit;
the time classification unit acquires the transmission basic data and performs the following analysis:
w1: the specific analysis of the time data is that the time data comprises holidays, holidays and workdays, the time data is obtained by the prior art, and the detailed description is omitted,
w11: classification of different time periods for a single day workday, specific 07:00-09:00 is early stage, 11:00-13:00 is middle section, 19:00-21:00 is the division of the late segment;
w2: the method comprises the steps of obtaining the flow of people in a corresponding time period in a single workday, sequencing from small to large, simultaneously calculating the total sales in the corresponding time period, calculating the sum of the total sales in the corresponding time period in thirty days by analogy, respectively calculating the average sales in the corresponding time period as a reference standard, obtaining the advertisement playing duration in the corresponding time period in a single day, and carrying out the following analysis on the advertisement playing duration by combining the flow of people and the reference standard:
w21: when sales in the corresponding time period is greater than the reference standard, the advertisement playing time length is prolonged, and otherwise, analysis is performed by combining the people flow;
w22: and (3) analyzing according to the step W21 in combination with the people flow, if the people flow is the maximum, prolonging the advertisement playing time, otherwise, reducing the advertisement playing time, and then integrating the analysis result into adjustment information to be transmitted to the information output unit.
Advantageous effects
The invention provides a precise advertisement and information delivery system based on the Internet and artificial intelligence. Compared with the prior art, the method has the following beneficial effects:
according to the invention, through classifying different consumer users and analyzing the advertisements put according to different consumption levels of different age groups, the most suitable consumption interval is selected, the corresponding product advertisements are further selected according to the consumption interval to put, the accuracy of putting the product advertisements is ensured, and secondly, the people flow and sales in different time periods are analyzed, so that different adjustment is carried out on advertisement duration, and the purposes of reducing advertisement cost and improving sales are achieved.
Drawings
FIG. 1 is a block diagram of a system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 as an embodiment of the present invention, the present application provides an accurate advertisement and information delivery system based on internet and artificial intelligence, including:
the data acquisition unit is used for acquiring the associated data of the target objects, wherein the target objects are different consumption users, the associated data comprise the gender, age and consumption running water of the consumption users, the consumption running water is acquired by the specific amount consumed by the consumption users in a physical store within thirty days, and the associated data are transmitted to the object classification unit.
The object classification unit acquires the transmitted associated data and performs the following analysis:
s1: the male consumption users and the female consumption users are classified according to gender;
s2: the specific way of categorizing male consumer users is as follows:
s21: the ages of male consumption users are specifically divided into [20-30] young years, (30-50 ] middle-aged and older than 50 years;
s3: the classification of the female consumer is performed in the same manner as in the step S2, and redundant description is omitted herein, and classification information is obtained through classification and transmitted to the data analysis unit.
The data analysis unit acquires the transmitted classification information and performs an analysis, taking the young man consuming user as an example, and marks the young man consuming user as a target object:
p1: the number n of target objects within thirty days is obtained, and the specific consumption amount Qi of the individual is obtained at the same time, and a summation formula is utilizedCalculating the total consumption amount Qz of all the target objects, and further calculating the average consumption amount of the individual +.>And as a personal consumption standard;
p2: obtaining a consumption type of a target object, wherein the consumption type is exemplified by a shoe monopoly store, and the type of shoes comprises the type in the application, but only a part of types are listed as reference objects, and specific type classification can be modified by an operator and is classified into a sport type and assigned A1, a leisure type assigned A2 and a normal type assigned A3 according to the types;
p21: obtaining consumption numbers of three consumption types A1, A2 and A3 within thirty days, marking the consumption numbers as Mj, wherein j=1, 2 and 3, sequencing Mj from small to large, and selecting the largest consumption type;
p22: then respectively obtaining the minimum value and the maximum value of three consumption type unit price amounts, and recording the minimum value and the maximum value as Q1[ Min1, max1], Q2[ Min2, max2], Q3[ Min3, max3], wherein Min and Max respectively represent the minimum value and the maximum value of sales unit price;
p23: qp is matched with Q1, Q2 and Q3 in the following specific matching modes:
when Qp is located in any interval of Q1, Q2 and Q3, selecting an interval matched with each other, and performing analysis by combining the selected maximum consumption type without processing other intervals, wherein the specific analysis mode is as follows:
if the maximum consumption type is the selected matching interval, not performing any processing, otherwise analyzing the maximum consumption type;
when Qp is not located in any of the intervals Q1, Q2 and Q3, analyzing the maximum consumption type;
p24: the specific analysis of the maximum consumption type in step P23 is as follows:
calculating the maximum total expense amount of Mj, calculating the average expense amount, simultaneously matching the maximum average expense amount of Mj with Q1, Q2 and Q3, selecting proper matching intervals, respectively calculating the average value of the two intervals when the two selected intervals are two, taking the calculated average value as a new price interval, simultaneously selecting the types of shoes in the new price interval, and similarly, analyzing the male different age groups in the same way without redundant description, and comprehensively finishing the analyzed results into decision information;
the analysis mode of the female consumer is the same as that of the same, and redundant description is not made here, and decision information is transmitted to the information output unit;
the information output unit acquires the transmitted decision information and displays the decision information through the display equipment.
Analyzing by combining with an actual application scene, assuming that an existing shoe monopoly store finds that the average consumption amount qp=350 of an individual through calculation, wherein the running price interval is A1[240, 410], the leisure price interval is A2[260, 360], and the forward-installed price interval A3[400, 670];
in the first case, judging that the sections in which Qp is located are A1 and A2, and meanwhile, the sales of casual shoes is the greatest, and selecting advertisements of the casual shoes for consumers to push;
in the second case, the sections where Qp is determined to be located are A1 and A2, and the sales amount of the front-loading type shoes is the greatest, then the total consumption amount of the front-loading type shoes is calculated, and the average unit price amount of the front-loading type shoes is calculated, for example, the calculated average unit price amount is 420, so that the sections A1 and A3 are alternative, then the average value of the sections A1 and A3 is calculated respectively, and a new price section [325, 535] is defined, and advertisement pushing is performed in the new price section.
As a second embodiment of the present invention, the difference from the first embodiment is that advertisement pushing is performed by different time periods, and a specific analysis method is as follows:
the data acquisition unit acquires basic data within thirty days of a target object, wherein the target object is a single entity store exclusive store, the basic data comprises time data and the flow rate and sales of people in a single day, the flow rate is defined as the number of people entering the store to calculate, and the basic data is transmitted to the time classification unit;
the time classification unit acquires the transmission basic data and performs the following analysis:
w1: the specific analysis of the time data is that the time data comprises holidays, holidays and workdays, the time data is obtained by the prior art, and the detailed description is omitted,
w11: classification of different time periods for a single day workday, specific 07:00-09:00 is early stage, 11:00-13:00 is middle section, 19:00-21:00 is the division of the late segment;
w2: the method comprises the steps of obtaining the flow of people in a corresponding time period in a single workday, sequencing from small to large, simultaneously calculating the total sales in the corresponding time period, calculating the sum of the total sales in the corresponding time period in thirty days by analogy, respectively calculating the average sales in the corresponding time period as a reference standard, obtaining the advertisement playing duration in the corresponding time period in a single day, and carrying out the following analysis on the advertisement playing duration by combining the flow of people and the reference standard:
w21: when sales in the corresponding time period is greater than the reference standard, the advertisement playing time length is prolonged, and otherwise, analysis is performed by combining the people flow;
w22: according to the step W21, analyzing by combining the people flow, if the people flow is the maximum, prolonging the advertisement playing time, otherwise, reducing the advertisement playing time, and then integrating the analysis result into adjustment information to be transmitted to an information output unit;
the information output unit acquires the transmitted adjustment information and allows the adjustment information to be watched by an operator through the display device.
As embodiment three of the present invention, the emphasis is on the implementation of the fusion of embodiment one to embodiment three.
The method comprises the steps of classifying different consumption users, analyzing the advertisements put according to different consumption levels of different age groups, selecting the most suitable consumption interval, further selecting corresponding product advertisements to put according to the consumption interval, guaranteeing the accuracy of putting the product advertisements, and analyzing the flow and sales in different time periods to adjust advertisement time length differently, thereby achieving the purposes of reducing advertisement cost and improving sales.
The working principle of the invention is as follows: the method comprises the steps that a data acquisition unit acquires associated data of a target object, the associated data are transmitted to a time classification unit and an object classification unit, the object classification unit classifies different consumption users according to different ages and sexes, then analyzes consumption types of the different consumption users in a store, comprehensively calculates to select corresponding advertisements to put in, the time classification unit classifies different times, calculates sales in different time periods, calculates average sales as a reference standard, and then adjusts advertisement duration according to the reference standard and people flow.
And all that is not described in detail in this specification is well known to those skilled in the art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (4)
1. The accurate advertisement and information delivery system based on the Internet and artificial intelligence is characterized by comprising a data acquisition unit, an object classification unit, a data analysis unit, a data storage unit and an information output unit, wherein unidirectional transmission is adopted between the units:
the data acquisition unit is used for acquiring associated data of target objects, wherein the target objects are different consumption users, the associated data comprises gender, age and consumption flow of the consumption users, and the associated data is transmitted to the object classification unit;
the object classification unit acquires and analyzes the transmitted associated data, classifies the consumption users according to different ages to obtain classification information of the young, middle-aged and elderly categories, and transmits the classification information to the data analysis unit;
the data analysis unit acquires the transmitted classified information to analyze, firstly, the consumption amounts of different classes of consumption users are calculated, the average value is used as a consumption standard of the same class, then the consumption types are divided into sports type, leisure type and forward type, and the consumption types of the same class of consumption users are analyzed;
and then the data storage unit transmits the consumption type and the consumption amount of the entity store to the data analysis unit, calculates the interval ranges of the unit price amounts of different consumption types respectively, and matches the interval ranges with the consumption standard:
if the consumption standard exists in any interval range of unit price of different consumption types, matching each other, comprehensively analyzing the consumption type with the largest consumption amount, otherwise, analyzing the consumption type with the largest consumption amount independently, integrating the final analysis result to generate decision information, and transmitting the decision information to an information output unit;
the information output unit acquires the transmitted decision information and allows the decision information to be watched by an operator.
2. The accurate advertisement and information delivery system based on the Internet and artificial intelligence according to claim 1, wherein the specific analysis mode of the object classification unit on the associated data is as follows:
s1: the male consumption users and the female consumption users are classified according to gender;
s2: the specific way of categorizing male consumer users is as follows:
s21: the ages of male consumption users are specifically divided into [20-30] young years, (30-50 ] middle-aged and older than 50 years;
s3: the classification of the female consumer is performed in the same manner as in the step S2, and redundant description is omitted herein, and classification information is obtained through classification and transmitted to the data analysis unit.
3. The accurate advertisement and information delivery system based on the internet and artificial intelligence according to claim 2, wherein the specific analysis mode of the data analysis unit on the classified information is as follows:
p1: the number n of target objects within thirty days is obtained, and the specific consumption amount Qi of the individual is obtained at the same time, and a summation formula is utilizedCalculating the total expense amount Qz of all the target objects, and further calculating the average expense amount of individualsAnd as a personal consumption standard;
p2: obtaining consumption types of the target object, and dividing the consumption types into sports type assignment A1, leisure type assignment A2 and forward type assignment A3 according to the types;
p21: obtaining consumption numbers of three consumption types A1, A2 and A3 within thirty days, marking the consumption numbers as Mj, wherein j=1, 2 and 3, sequencing Mj from small to large, and selecting the largest consumption type;
p22: then respectively obtaining the minimum value and the maximum value of three consumption type unit price amounts, and recording the minimum value and the maximum value as Q1[ Min1, max1], Q2[ Min2, max2], Q3[ Min3, max3], wherein Min and Max respectively represent the minimum value and the maximum value of sales unit price;
p23: qp is matched with Q1, Q2 and Q3 in the following specific matching modes:
when Qp is located in any interval of Q1, Q2 and Q3, selecting an interval matched with each other, and performing analysis by combining the selected maximum consumption type without processing other intervals, wherein the specific analysis mode is as follows:
if the maximum consumption type is the selected matching interval, not performing any processing, otherwise analyzing the maximum consumption type;
when Qp is not located in any of the intervals Q1, Q2 and Q3, analyzing the maximum consumption type;
p24: the specific analysis of the maximum consumption type in step P23 is as follows:
calculating the maximum total expense amount of Mj, calculating the average expense amount, simultaneously matching the maximum average expense amount of Mj with Q1, Q2 and Q3, selecting proper matching intervals, respectively calculating the average value of the two intervals when the two selected intervals are two, taking the calculated average value as a new price interval, simultaneously selecting the shoe type in the new price interval, and comprehensively arranging the analysis result into decision information;
the same analysis method is the same as that of female consumer users, and redundant description is not made here.
4. The accurate advertisement and information delivery system based on the internet and artificial intelligence according to claim 1, further comprising a time classification unit, wherein the data acquisition unit is configured to acquire time data and transmit the time data to the time classification unit, and the specific manner is as follows:
w1: the time data includes holidays, holidays and workdays, the time data is obtained by the prior art, and is not described in detail herein,
w11: classification of different time periods for a single day workday, specific 07:00-09:00 is early stage, 11:00-13:00 is middle section, 19:00-21:00 is the division of the late segment;
w2: the method comprises the steps of obtaining the flow of people in a corresponding time period in a single workday, sequencing from small to large, simultaneously calculating the total sales in the corresponding time period, calculating the sum of the total sales in the corresponding time period in thirty days by analogy, respectively calculating the average sales in the corresponding time period as a reference standard, obtaining the advertisement playing duration in the corresponding time period in a single day, and carrying out the following analysis on the advertisement playing duration by combining the flow of people and the reference standard:
w21: when sales in the corresponding time period is greater than the reference standard, the advertisement playing time length is prolonged, and otherwise, analysis is performed by combining the people flow;
w22: and (3) analyzing according to the step W21 in combination with the people flow, if the people flow is the maximum, prolonging the advertisement playing time, otherwise, reducing the advertisement playing time, and then integrating the analysis result into adjustment information to be transmitted to the information output unit.
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| CN117708183A (en) * | 2023-11-08 | 2024-03-15 | 广州西米科技有限公司 | Potential user mining method and system based on user consumption habit |
| CN117708183B (en) * | 2023-11-08 | 2024-06-11 | 广州西米科技有限公司 | Potential user mining method and system based on user consumption habit |
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