CN109949087B - Automatic analysis system and method for commercial advertisement putting mode - Google Patents

Automatic analysis system and method for commercial advertisement putting mode Download PDF

Info

Publication number
CN109949087B
CN109949087B CN201910200104.XA CN201910200104A CN109949087B CN 109949087 B CN109949087 B CN 109949087B CN 201910200104 A CN201910200104 A CN 201910200104A CN 109949087 B CN109949087 B CN 109949087B
Authority
CN
China
Prior art keywords
information
terminal
user
format
advertisement
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910200104.XA
Other languages
Chinese (zh)
Other versions
CN109949087A (en
Inventor
张岩
董伟
刘波
刘斌
姚鹏飞
赵然
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Cisri Energy Saving Technology Co ltd
Original Assignee
Cisri Energy Saving Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Cisri Energy Saving Technology Co ltd filed Critical Cisri Energy Saving Technology Co ltd
Priority to CN201910200104.XA priority Critical patent/CN109949087B/en
Publication of CN109949087A publication Critical patent/CN109949087A/en
Application granted granted Critical
Publication of CN109949087B publication Critical patent/CN109949087B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

An automatic analysis system for commercial delivery modes, comprising the following components: the system comprises a system server, a user expectation evaluation server, a user terminal group, an expert terminal group, a management terminal group, a reward server and an authentication server. Also provided is a commercial delivery mode automatic analysis method, which is performed by using the system, and is characterized by comprising the following steps: 1) a preparation step; 2) selecting questions used in the period; 3) a user terminal acquisition step; 4) a step of issuing rewards; 5) calculating and generating a report for multiple times; 6) and managing a consulting step of the terminal.

Description

Automatic analysis system and method for commercial advertisement putting mode
Technical Field
The invention relates to the technical field of advertisement putting information analysis, in particular to a commercial advertisement putting mode automatic analysis system and a commercial advertisement putting mode automatic analysis method.
Background
In the current society, the receiving mode of the media of the public is changed extremely fast, the mode and the plan of advertisement putting are greatly influenced, before 2010, newspapers and televisions are two main items of advertisement putting, but the situation is changing rapidly, the newspapers and the televisions are shrinking to be selected only in a common advertisement mode, the time of young people for traditional media is becoming less and less, the influence modes of video advertisements, outdoor large-scale billboards, radio advertisements, television advertisements, marketing advertisements of mobile phone browsers, PC (personal computer) side pop-up advertisements, public transport advertisements, subway advertisements and online shopping additional advertisements to audiences can become the same magnitude, and for the project needing to be advertised, how to select a reasonable advertisement combination or advertisement distribution plan becomes more and more difficult to determine.
In the current information society, the new commodity demand is very fast, and the new supply information can also be fast found, if the commodity demand or the supply information with the approximately corresponding quantity exists in a similar area, the existence of the possibility of bridging the two leading lines and forming a new shared economic project is realized. The business method of projects such as automobile sharing and skill sharing is to link two service parties, and the shared economic project concerned by the application is mainly to grasp the demands of the two supply and demand parties of the existing commodity which are not realized or recognized by the two supply and demand parties, which actually generate a corresponding relation, to form a new shared economic project, so that the project has basic profitability feasibility.
In CN106412644A, how to push favorite advertisements for the current user is analyzed, in CN106294883A, user interests are analyzed based on user behavior, and a scheme for proposing advertisements is laid, but there is a technical scheme in the prior art that a reasonable advertisement collocation scheme is analyzed for a certain specific product/item. At present, the interests of different age groups in the society are greatly different, and diversified advertisement putting or matching modes are necessary, but the strength of each advertisement putting is great, and the advertisement putting is carried out at any time and in any form, so that the prior art does not provide a whole set of solution.
In general, the prior art lacks a corresponding analysis method and means for how to form an effective advertising formulation. The prior art has no means for automatic analysis and provision, and the problems of high cost, low timeliness, bias caused by only a result theory, insufficient timeliness and missed effective opportunity are solved through searching in modes of seminars, questionnaires and the like, and the prior art has insufficient pertinence and is not comprehensive enough. For example, if in the form of an online question and answer, the middle aged and elderly population is ignored. If subway advertisements are employed, consumer groups who do not sit on the subway may be ignored.
Disclosure of Invention
The first purpose of the invention is to solve the problem of the prior art that a system scheme for reasonably analyzing the advertisement putting mode is lacked, and the system can periodically monitor in real time and automatically generate suggestions, so that the system can provide auxiliary information very effectively. Of course, the scheme of the application only aims at the collection, calculation and supply of the information, how the information is perceived and utilized, how much the information is referred to, and the user determines the information and is not directly connected with the application.
An automatic analysis system for commercial delivery modes, comprising the following components: the system server is provided with a system software platform which performs calculation, gives charts and verifies data output and input by the system server; the system server is provided with a first storage, a second storage, a third storage and a buffer storage, wherein the first storage is specially used for storing the advertisement evaluation report of each calculation cycle, and the buffer storage is used for calculating the advertisement evaluation report data in each calculation cycle and emptying the data when entering the next calculation cycle at the end of each calculation cycle.
The user expectation evaluating server is used for storing an expected question bank for carrying out expectation evaluation and can regularly update the questions of the expected question bank and record selected information; an expected question bank in the user expected evaluation server stores at least U questions, and each question has enough additional storage space for storing one or more selected information from the expert terminal in each calculation period; u is an integer greater than or equal to 500.
The user terminal group is composed of at least C user terminals and is used for collecting format answers from the users, wherein the format answers comprise answers given to partial topics in an expected topic library and actual advertisement contact evaluation information; the information collected by all the user terminal groups in each calculation period is sent to a system server; c is an integer greater than or equal to 300; each user terminal transmits and receives data by wireless.
And each expert terminal is used for seeking at least one question to be added into an expected question bank in a calculation period and carrying out selection operation on at least N questions in the calculation period. Z is an integer greater than or equal to 300. Each expert terminal transmits and receives data in a wireless manner.
And the management terminal group consists of at least G management terminals, and each management terminal receives user report data from the system server in a wireless mode. G is an integer greater than or equal to 300.
And the reward server is used for storing a plurality of reward codes according to the serial numbers, and the stored reward codes can be called to any user terminal one by one under the permission of the system software platform.
The authentication server is provided with a prestored expert information group and a prestored management personnel information group, wherein the expert information group and the management personnel information group are provided with encrypted identification information which is stored in an item manner according to personnel ID numbers, and the encrypted identification information comprises but is not limited to reserved code information, fingerprint information, iris information and facial image information of personnel.
The system server, the reward server and the authentication server are all accessed to the Internet in a wired mode and need to pass format authentication when receiving any information.
Preferably, the user terminal is an own mobile terminal of an actual user, or a mobile terminal dedicated to evaluation and capable of being circulated among the actual users. And each expert terminal and the management terminal are provided with an authentication device. The authentication device is selected from one of a special character input device, a fingerprint acquisition device, an iris image acquisition device, a camera device for face information acquisition and a camera device for hand information acquisition. Each topic of the expected topic library is a single-item choice topic with at least three choice branches, each choice branch is attached with a user expectation value Y, the numerical value range is between 0% and 100%, and the attached user expectation value is not displayed on a user terminal.
An automatic analysis method for commercial delivery mode, which is performed by using the automatic analysis system for commercial delivery mode as described above, is characterized by comprising the following steps: 1) the preparation method comprises the following steps: determining the duration of a calculation period, wherein the calculation period is continuously repeated, and generating an advertisement evaluation report at the end of each calculation period. And sending an instruction from a system software platform, instructing a system server to empty a second memory, reserving a storage space for a selected question in an expected question bank to be utilized in the calculation period, instructing the system server to empty a third memory, and reserving a storage space for all format answers to be collected in the calculation period and a result calculated based on the format answers. And formulating a preset format requirement of the format answer and transmitting the preset format requirement to all the user terminals so as to ensure the validity of the format answer for calculation. And formulating a preset format requirement of the newly added questions and transmitting the requirement to all expert terminals so as to ensure the effectiveness of the newly added questions for calculation.
2) Selecting questions in the period: after the current calculation period starts, the system software platform sends request information for seeking questions to all expert terminals, and all expert terminals display the request information and send out sound alarm after receiving the request information. Receiving at least one new subject input data of subject information from each expert terminal, if the input data does not meet the preset format requirement, displaying unfinished prompt information on the current expert terminal and sending out a warning sound, until the input data meets the preset format requirement, displaying the prompt information meeting the format requirement, and simultaneously sending out display information and sound prompt information to require identity authentication.
After the identity information is obtained from the current expert terminal, the identity information is transmitted to a system server, the data format of the identity information is verified by a system software platform and is transmitted to an authentication server for being compared with the information in the prestored expert personnel information group, after the authentication is successful, the authentication server sends an authentication confirmation result to the system software platform, the system software platform sends a signal for granting data transmission to the current expert terminal, and the current expert terminal transmits the received newly added subject input data to a user expected evaluation server and is merged into an expected subject library. And after receiving the newly added topic input data from all the expert terminals, generating a topic list of the current calculation period for all the topics in the expected topic library, and sending the topic list to each expert terminal. On each expert terminal, the question list of the current calculation period is subjected to sequencing display and screening display in various different modes, and on the basis, the information whether each specific question is selected or not given from the current expert terminal is received, and after the completion of the confirmation and the uploading from the current expert terminal, the information whether each specific question is selected or not is uploaded to an additional storage space in a user expected evaluation server, and the selected number information of each question in an expected question bank is counted.
The system software platform calls the number of each item in the expected item library, selects the U1 items with the largest number of items from the expected item library through sorting, enters a second memory and returns the prompt information selected by the items in the period to the system software platform.
3) A user terminal acquisition step: and (3) the system software platform sends the U1 titles in the step (2) and prompt information of the start and stop time of the current calculation period to all the user terminals. And instructing each user terminal to start receiving current collecting information from a system software platform, wherein the current collecting information comprises the selected information of the U1 topic and the actual advertisement contact evaluating information. The aforementioned U1 through topics must all be selected and only one choice is selected. The actual advertisement contact evaluation information comprises actual contact time values Tj, j is 1, … …, L, 5 is more than or equal to L and less than or equal to 50 of L different types of advertisements, and contact time information of each type of advertisements, wherein the actual contact time values are calculated in min, and the contact time information is recorded by selecting specific hours in 24h of a day. If the input data does not meet the preset format requirement of the format answer, displaying unfinished prompt information on the current user terminal and giving out warning tone until the input data meets the preset format requirement, displaying the prompt information meeting the format requirement, transmitting the input data of each user terminal to a third memory, recording the specific time for transmitting the format answer from each user terminal, and transmitting the specific time to a system software platform.
4) And a reward issuing step: and sequencing the terminal ID numbers of all the user terminals according to the recorded specific time of the transmission format answers by the system software platform according to the specific time of receiving the answers, extracting the reward codes in the reward server one by one according to the serial numbers, and sending the reward codes to a certain user terminal corresponding to the currently extracted serial number until all the reward codes are sent. And when the transmission is finished, the information that the transmission of the periodic reward codes is finished is transmitted to all the user terminals.
The system software platform calls all format answer data of the third storage, and calculates according to the following mode, firstly calculates the user expectation of the user for the format answer obtained by the ith user terminal: the expectation degree values that can be determined according to the specific selection branch selection conditions for the topics 1 to U1 are Y1 and Y2 … … YU1, and the expectation degree of the ith user is Yi ═ (Y1+ Y2+ … … + YU1)/(U1 × 100). And for the expectation degree data of any ith user terminal, when the calculated Yi is lower than the GA, excluding the format answer transmitted by the user terminal, and calculating.
And calculating an evaluation value according to the excluded format answers: total T1 ═ Σ (T1i × Yi)/C, total T2 ═ Σ (T2i × Yi)/C, total T3 ═ Σ (T3i × Yi)/C, total T4 ═ Σ (T4i × Yi)/C, total T5 ═ Σ (T5i × Yi)/C, … …, total Tj ═ Σ (Tji)/C, where i sequentially corresponds to the numerical values of the 1 st and 2 … … C user terminals to complete the summation. Tji is the Tj value from the ith ue. For the calculated total Tj value, j is 1, … …, L, all the contact period information is sorted from the most to the least by the number of times each period is marked, and a contact hot period list JCj of each advertisement is obtained and attached to the total Tj value.
Generating an advertisement evaluation report of the period by combining the results of all the total Tj values accompanied by JCj values and the operation process, and storing the advertisement evaluation report in a first memory; and sorting the total Tj values from long to short according to time, generating a suggested advertising scheme according to the 2-10 total Tj values with the longest time and the first 2-10 time interval information of each JCj value attached to the total Tj values, generating a report abstract, and attaching the report to an advertising evaluation report of the calculation cycle.
5) Multiple calculation and report generation steps: in each calculation period, performing the calculation in the steps (1) to (4) once to generate an advertisement evaluation report of the current period; this is continued for at least 6-8 cycles.
6) The management terminal consults the steps: any manager can call the advised advertisement scheme and the report abstract of any generated advertisement evaluation report from an input interface on any one of G management terminals, and when a request for calling the advised advertisement scheme and the report abstract is input, the current management terminal simultaneously sends display information and voice prompt information to request identity authentication; after the identity information is acquired from the current management terminal, the identity information is transmitted to a system server, the data format is verified by a system software platform, the identity information is transmitted to an authentication server for being compared with the information on the pre-stored management personnel information group, after the authentication is successful, the authentication server transmits a management personnel authentication result to the system software platform, the management personnel authentication result comprises the authority range of the personnel, and the system software platform transmits intersection data of the authority range of the personnel and the requested retrieval request to the current management terminal.
Preferably, the calculation period is a natural month. And (4) the authority range in the step (6) comprises but is not limited to time authority and reading authority of each part of the report. In step (6), in addition to the request for reviewing the generated single or multiple advertisement evaluation reports, the management terminal receives the review of the advertisement evaluation reports for a plurality of successive calculation cycles and the change of each total Tj value and its accompanying JCj value in the plurality of calculation cycles, to which JCj values are attached. Each of said tjs specifically corresponds to an advertisement type including, but not limited to, selected from: video advertisements, outdoor large billboards, radio station advertisements, television advertisements, mobile browser marketing advertisements, PC end pop-up advertisements, public transport advertisements, subway advertisements and online shopping bonus advertisements. The GA value is any number between 30 and 60.
The invention has the advantages that the invention can be mainly divided into five points, firstly, aiming at the information society with short time, a whole set of system can replace on-site workshop, joint questionnaire survey, special evaluation activities or mass call to obtain effective analysis information, greatly saves manpower and material resources, can continuously obtain suggestion information in each period, and can realize the most visual reference information of the advertisement putting scheme. Secondly, aiming at the consumers who already consume the product/use the related APP, and further screening the expectation degree of the user, the final data can be confirmed to be from the consumers who are willing to consume the product, and the analysis based on the data is more effective than the common broad-cast network mode in the prior art. And thirdly, the administrator group can conveniently obtain the calculated information, the query is convenient, and reasonable query information can be obtained by different management levels according to the preset authority, so that the information is conveniently and fully utilized in time. And fourthly, the quality and flexibility of the expected question bank are effectively guaranteed by the means of the method, and the customer opinions screened by the question bank have higher reference value necessarily as long as the expert opinions do not deviate from the matrix.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a commercial delivery automatic analysis method of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the scope of the present invention will be more clearly and clearly defined.
Example 1
In this embodiment, the commercial advertisement is performed for a takeaway coffee, the takeaway card fee has its own APP, or can be ordered by other general takeaway platforms, and it is difficult for users of the coffee to determine the advertisement delivery mode from a general method across multiple age groups.
An automatic analysis system for commercial delivery modes, comprising the following components: the system server is provided with a system software platform which performs calculation, gives charts and verifies data output and input by the system server; the system server is provided with a first storage, a second storage, a third storage and a buffer storage, wherein the first storage is specially used for storing the advertisement evaluation report of each calculation cycle, and the buffer storage is used for calculating the advertisement evaluation report data in each calculation cycle and emptying the data when entering the next calculation cycle at the end of each calculation cycle.
The user expectation evaluating server is used for storing an expected question bank for carrying out expectation evaluation and can regularly update the questions of the expected question bank and record selected information; an expected question bank in the user expected evaluation server stores at least U questions, and each question has enough additional storage space for storing one or more selected information from the expert terminal in each calculation period; u is an integer greater than or equal to 600.
The user terminal group is composed of at least C user terminals and is used for collecting format answers from the users, wherein the format answers comprise answers given to partial topics in an expected topic library and actual advertisement contact evaluation information; the information collected by all the user terminal groups in each calculation period is sent to a system server; c is an integer greater than or equal to 400; each user terminal transmits and receives data by wireless.
And each expert terminal is used for seeking at least one question to be added into an expected question bank in a calculation period and carrying out selection operation on at least N questions in the calculation period. Z is an integer greater than or equal to 400. Each expert terminal transmits and receives data in a wireless manner.
And the management terminal group consists of at least G management terminals, and each management terminal receives user report data from the system server in a wireless mode. G is an integer greater than or equal to 400.
And the reward server is used for storing a plurality of reward codes according to the serial numbers, and the stored reward codes can be called to any user terminal one by one under the permission of the system software platform.
The authentication server is provided with a prestored expert information group and a prestored management personnel information group, wherein the expert information group and the management personnel information group are provided with encrypted identification information which is stored in an item manner according to personnel ID numbers, and the encrypted identification information comprises but is not limited to reserved code information, fingerprint information, iris information and facial image information of personnel.
The system server, the reward server and the authentication server are all accessed to the Internet in a wired mode and need to pass format authentication when receiving any information.
Preferably, the user terminal is an own mobile terminal of an actual user, or a mobile terminal dedicated to evaluation and capable of being circulated among the actual users. And each expert terminal and the management terminal are provided with an authentication device. The authentication device is selected from one of a special character input device, a fingerprint acquisition device, an iris image acquisition device, a camera device for face information acquisition and a camera device for hand information acquisition. Each topic of the expected topic library is a single-item choice topic with at least three choice branches, each choice branch is attached with a user expectation value Y, the numerical value range is between 0% and 100%, and the attached user expectation value is not displayed on a user terminal.
An automatic analysis method for commercial delivery mode, which is performed by using the automatic analysis system for commercial delivery mode as described above, is characterized by comprising the following steps: 1) the preparation method comprises the following steps: determining the duration of a calculation period, wherein the calculation period is continuously repeated, and generating an advertisement evaluation report at the end of each calculation period. And sending an instruction from a system software platform, instructing a system server to empty a second memory, reserving a storage space for a selected question in an expected question bank to be utilized in the calculation period, instructing the system server to empty a third memory, and reserving a storage space for all format answers to be collected in the calculation period and a result calculated based on the format answers. And formulating a preset format requirement of the format answer and transmitting the preset format requirement to all the user terminals so as to ensure the validity of the format answer for calculation. And formulating a preset format requirement of the newly added questions and transmitting the requirement to all expert terminals so as to ensure the effectiveness of the newly added questions for calculation.
2) Selecting questions in the period: after the current calculation period starts, the system software platform sends request information for seeking questions to all expert terminals, and all expert terminals display the request information and send out sound alarm after receiving the request information. Receiving at least one new subject input data of subject information from each expert terminal, if the input data does not meet the preset format requirement, displaying unfinished prompt information on the current expert terminal and sending out a warning sound, until the input data meets the preset format requirement, displaying the prompt information meeting the format requirement, and simultaneously sending out display information and sound prompt information to require identity authentication.
After the identity information is obtained from the current expert terminal, the identity information is transmitted to a system server, the data format of the identity information is verified by a system software platform and is transmitted to an authentication server for being compared with the information in the prestored expert personnel information group, after the authentication is successful, the authentication server sends an authentication confirmation result to the system software platform, the system software platform sends a signal for granting data transmission to the current expert terminal, and the current expert terminal transmits the received newly added subject input data to a user expected evaluation server and is merged into an expected subject library. And after receiving the newly added topic input data from all the expert terminals, generating a topic list of the current calculation period for all the topics in the expected topic library, and sending the topic list to each expert terminal. On each expert terminal, the question list of the current calculation period is subjected to sequencing display and screening display in various different modes, and on the basis, the information whether each specific question is selected or not given from the current expert terminal is received, and after the completion of the confirmation and the uploading from the current expert terminal, the information whether each specific question is selected or not is uploaded to an additional storage space in a user expected evaluation server, and the selected number information of each question in an expected question bank is counted.
The system software platform calls the number of each item in the expected item library, selects the U1 items with the largest number of items from the expected item library through sorting, enters a second memory and returns the prompt information selected by the items in the period to the system software platform.
3) A user terminal acquisition step: and (3) the system software platform sends the U1 titles in the step (2) and prompt information of the start and stop time of the current calculation period to all the user terminals. And instructing each user terminal to start receiving current collecting information from a system software platform, wherein the current collecting information comprises the selected information of the U1 topic and the actual advertisement contact evaluating information. The aforementioned U1 through topics must all be selected and only one choice is selected. The actual advertisement contact evaluation information comprises actual contact time values Tj, j is 1, … …, L is more than or equal to 5, L is less than or equal to 25 of L different types of advertisements, and contact time information of each type of advertisements, wherein the actual contact time values are calculated in min, and the contact time information is recorded by selecting specific hours in 24h of a day. If the input data does not meet the preset format requirement of the format answer, displaying unfinished prompt information on the current user terminal and giving out warning tone until the input data meets the preset format requirement, displaying the prompt information meeting the format requirement, transmitting the input data of each user terminal to a third memory, recording the specific time for transmitting the format answer from each user terminal, and transmitting the specific time to a system software platform.
4) And a reward issuing step: and sequencing the terminal ID numbers of all the user terminals according to the recorded specific time of the transmission format answers by the system software platform according to the specific time of receiving the answers, extracting the reward codes in the reward server one by one according to the serial numbers, and sending the reward codes to a certain user terminal corresponding to the currently extracted serial number until all the reward codes are sent. And when the transmission is finished, the information that the transmission of the periodic reward codes is finished is transmitted to all the user terminals.
The system software platform calls all format answer data of the third storage, and calculates according to the following mode, firstly calculates the user expectation of the user for the format answer obtained by the ith user terminal: the expectation degree values that can be determined according to the specific selection branch selection conditions for the topics 1 to U1 are Y1 and Y2 … … YU1, and the expectation degree of the ith user is Yi ═ (Y1+ Y2+ … … + YU1)/(U1 × 100). And for the expectation degree data of any ith user terminal, when the calculated Yi is lower than the GA, excluding the format answer transmitted by the user terminal, and calculating.
And calculating an evaluation value according to the excluded format answers: total T1 ═ Σ (T1i × Yi)/C, total T2 ═ Σ (T2i × Yi)/C, total T3 ═ Σ (T3i × Yi)/C, total T4 ═ Σ (T4i × Yi)/C, total T5 ═ Σ (T5i × Yi)/C, … …, total Tj ═ Σ (Tji)/C, where i sequentially corresponds to the numerical values of the 1 st and 2 … … C user terminals to complete the summation. Tji is the Tj value from the ith ue. For the calculated total Tj value, j is 1, … …, L, all the contact period information is sorted from the most to the least by the number of times each period is marked, and a contact hot period list JCj of each advertisement is obtained and attached to the total Tj value.
Generating an advertisement evaluation report of the period by combining the results of all the total Tj values accompanied by JCj values and the operation process, and storing the advertisement evaluation report in a first memory; and sorting the total Tj values from long to short according to time, generating a suggested advertising scheme according to the 2-6 total Tj values with the longest time and the first 2-6 time interval information of each JCj value attached to the total Tj values, generating a report abstract, and attaching the report to an advertising evaluation report of the calculation cycle.
5) Multiple calculation and report generation steps: in each calculation period, performing the calculation in the steps (1) to (4) once to generate an advertisement evaluation report of the current period; this is continued for at least 6 cycles.
6) The management terminal consults the steps: any manager can call the advised advertisement scheme and the report abstract of any generated advertisement evaluation report from an input interface on any one of G management terminals, and when a request for calling the advised advertisement scheme and the report abstract is input, the current management terminal simultaneously sends display information and voice prompt information to request identity authentication; after the identity information is acquired from the current management terminal, the identity information is transmitted to a system server, the data format is verified by a system software platform, the identity information is transmitted to an authentication server for being compared with the information on the pre-stored management personnel information group, after the authentication is successful, the authentication server transmits a management personnel authentication result to the system software platform, the management personnel authentication result comprises the authority range of the personnel, and the system software platform transmits intersection data of the authority range of the personnel and the requested retrieval request to the current management terminal.
Preferably, the calculation period is a natural month. And (4) the authority range in the step (6) comprises but is not limited to time authority and reading authority of each part of the report. In step (6), in addition to the request for reviewing the generated single or multiple advertisement evaluation reports, the management terminal receives the review of the advertisement evaluation reports for a plurality of successive calculation cycles and the change of each total Tj value and its accompanying JCj value in the plurality of calculation cycles, to which JCj values are attached. Each of said tjs specifically corresponds to an advertisement type including, but not limited to, selected from: video advertisements, outdoor large billboards, radio station advertisements, television advertisements, mobile browser marketing advertisements, PC end pop-up advertisements, public transport advertisements, subway advertisements and online shopping bonus advertisements. The value of the GA was 35.
Example 2
In this implementation, the commercial advertisement is performed on a healthy snack product, which has its own APP, and can be ordered by other general takeout platforms, and it is difficult for the user of the coffee to determine the advertisement delivery mode from a general method across multiple age groups.
An automatic analysis system for commercial delivery modes, comprising the following components: the system server is provided with a system software platform which performs calculation, gives charts and verifies data output and input by the system server; the system server is provided with a first storage, a second storage, a third storage and a buffer storage, wherein the first storage is specially used for storing the advertisement evaluation report of each calculation cycle, and the buffer storage is used for calculating the advertisement evaluation report data in each calculation cycle and emptying the data when entering the next calculation cycle at the end of each calculation cycle.
The user expectation evaluating server is used for storing an expected question bank for carrying out expectation evaluation and can regularly update the questions of the expected question bank and record selected information; an expected question bank in the user expected evaluation server stores at least U questions, and each question has enough additional storage space for storing one or more selected information from the expert terminal in each calculation period; u is an integer greater than or equal to 700.
The user terminal group is composed of at least C user terminals and is used for collecting format answers from the users, wherein the format answers comprise answers given to partial topics in an expected topic library and actual advertisement contact evaluation information; the information collected by all the user terminal groups in each calculation period is sent to a system server; c is an integer greater than or equal to 500; each user terminal transmits and receives data by wireless.
And each expert terminal is used for seeking at least one question to be added into an expected question bank in a calculation period and carrying out selection operation on at least N questions in the calculation period. Z is an integer greater than or equal to 500. Each expert terminal transmits and receives data in a wireless manner.
And the management terminal group consists of at least G management terminals, and each management terminal receives user report data from the system server in a wireless mode. G is an integer greater than or equal to 500.
And the reward server is used for storing a plurality of reward codes according to the serial numbers, and the stored reward codes can be called to any user terminal one by one under the permission of the system software platform.
The authentication server is provided with a prestored expert information group and a prestored management personnel information group, wherein the expert information group and the management personnel information group are provided with encrypted identification information which is stored in an item manner according to personnel ID numbers, and the encrypted identification information comprises but is not limited to reserved code information, fingerprint information, iris information and facial image information of personnel.
The system server, the reward server and the authentication server are all accessed to the Internet in a wired mode and need to pass format authentication when receiving any information.
Preferably, the user terminal is an own mobile terminal of an actual user, or a mobile terminal dedicated to evaluation and capable of being circulated among the actual users. And each expert terminal and the management terminal are provided with an authentication device. The authentication device is selected from one of a special character input device, a fingerprint acquisition device, an iris image acquisition device, a camera device for face information acquisition and a camera device for hand information acquisition. Each topic of the expected topic library is a single-item choice topic with at least three choice branches, each choice branch is attached with a user expectation value Y, the numerical value range is between 0% and 100%, and the attached user expectation value is not displayed on a user terminal.
An automatic analysis method for commercial delivery mode, which is performed by using the automatic analysis system for commercial delivery mode as described above, is characterized by comprising the following steps: 1) the preparation method comprises the following steps: determining the duration of a calculation period, wherein the calculation period is continuously repeated, and generating an advertisement evaluation report at the end of each calculation period. And sending an instruction from a system software platform, instructing a system server to empty a second memory, reserving a storage space for a selected question in an expected question bank to be utilized in the calculation period, instructing the system server to empty a third memory, and reserving a storage space for all format answers to be collected in the calculation period and a result calculated based on the format answers. And formulating a preset format requirement of the format answer and transmitting the preset format requirement to all the user terminals so as to ensure the validity of the format answer for calculation. And formulating a preset format requirement of the newly added questions and transmitting the requirement to all expert terminals so as to ensure the effectiveness of the newly added questions for calculation.
2) Selecting questions in the period: after the current calculation period starts, the system software platform sends request information for seeking questions to all expert terminals, and all expert terminals display the request information and send out sound alarm after receiving the request information. Receiving at least one new subject input data of subject information from each expert terminal, if the input data does not meet the preset format requirement, displaying unfinished prompt information on the current expert terminal and sending out a warning sound, until the input data meets the preset format requirement, displaying the prompt information meeting the format requirement, and simultaneously sending out display information and sound prompt information to require identity authentication.
After the identity information is obtained from the current expert terminal, the identity information is transmitted to a system server, the data format of the identity information is verified by a system software platform and is transmitted to an authentication server for being compared with the information in the prestored expert personnel information group, after the authentication is successful, the authentication server sends an authentication confirmation result to the system software platform, the system software platform sends a signal for granting data transmission to the current expert terminal, and the current expert terminal transmits the received newly added subject input data to a user expected evaluation server and is merged into an expected subject library. And after receiving the newly added topic input data from all the expert terminals, generating a topic list of the current calculation period for all the topics in the expected topic library, and sending the topic list to each expert terminal. On each expert terminal, the question list of the current calculation period is subjected to sequencing display and screening display in various different modes, and on the basis, the information whether each specific question is selected or not given from the current expert terminal is received, and after the completion of the confirmation and the uploading from the current expert terminal, the information whether each specific question is selected or not is uploaded to an additional storage space in a user expected evaluation server, and the selected number information of each question in an expected question bank is counted.
The system software platform calls the number of each item in the expected item library, selects the U1 items with the largest number of items from the expected item library through sorting, enters a second memory and returns the prompt information selected by the items in the period to the system software platform.
3) A user terminal acquisition step: and (3) the system software platform sends the U1 titles in the step (2) and prompt information of the start and stop time of the current calculation period to all the user terminals. And instructing each user terminal to start receiving current collecting information from a system software platform, wherein the current collecting information comprises the selected information of the U1 topic and the actual advertisement contact evaluating information. The aforementioned U1 through topics must all be selected and only one choice is selected. The actual advertisement contact evaluation information comprises actual contact time values Tj, j is 1, … …, L is more than or equal to 7 and less than or equal to 40 of L different types of advertisements and contact time information of each type of advertisement, the actual contact time values are calculated in min, and the contact time information is recorded by selecting specific hour in 24h in one day. If the input data does not meet the preset format requirement of the format answer, displaying unfinished prompt information on the current user terminal and giving out warning tone until the input data meets the preset format requirement, displaying the prompt information meeting the format requirement, transmitting the input data of each user terminal to a third memory, recording the specific time for transmitting the format answer from each user terminal, and transmitting the specific time to a system software platform.
4) And a reward issuing step: and sequencing the terminal ID numbers of all the user terminals according to the recorded specific time of the transmission format answers by the system software platform according to the specific time of receiving the answers, extracting the reward codes in the reward server one by one according to the serial numbers, and sending the reward codes to a certain user terminal corresponding to the currently extracted serial number until all the reward codes are sent. And when the transmission is finished, the information that the transmission of the periodic reward codes is finished is transmitted to all the user terminals.
The system software platform calls all format answer data of the third storage, and calculates according to the following mode, firstly calculates the user expectation of the user for the format answer obtained by the ith user terminal: the expectation degree values that can be determined according to the specific selection branch selection conditions for the topics 1 to U1 are Y1 and Y2 … … YU1, and the expectation degree of the ith user is Yi ═ (Y1+ Y2+ … … + YU1)/(U1 × 100). And for the expectation degree data of any ith user terminal, when the calculated Yi is lower than the GA, excluding the format answer transmitted by the user terminal, and calculating.
And calculating an evaluation value according to the excluded format answers: total T1 ═ Σ (T1i × Yi)/C, total T2 ═ Σ (T2i × Yi)/C, total T3 ═ Σ (T3i × Yi)/C, total T4 ═ Σ (T4i × Yi)/C, total T5 ═ Σ (T5i × Yi)/C, … …, total Tj ═ Σ (Tji)/C, where i sequentially corresponds to the numerical values of the 1 st and 2 … … C user terminals to complete the summation. Tji is the Tj value from the ith ue. For the calculated total Tj value, j is 1, … …, L, all the contact period information is sorted from the most to the least by the number of times each period is marked, and a contact hot period list JCj of each advertisement is obtained and attached to the total Tj value.
Generating an advertisement evaluation report of the period by combining the results of all the total Tj values accompanied by JCj values and the operation process, and storing the advertisement evaluation report in a first memory; and sorting the total Tj values from long to short according to time, generating a suggested advertising scheme according to the 3-9 total Tj values with the longest time and the first 3-9 time interval information of each JCj value attached to the total Tj values, generating a report abstract, and attaching the report to an advertising evaluation report of the calculation cycle.
5) Multiple calculation and report generation steps: in each calculation period, performing the calculation in the steps (1) to (4) once to generate an advertisement evaluation report of the current period; this is continued for at least 7 cycles.
6) The management terminal consults the steps: any manager can call the advised advertisement scheme and the report abstract of any generated advertisement evaluation report from an input interface on any one of G management terminals, and when a request for calling the advised advertisement scheme and the report abstract is input, the current management terminal simultaneously sends display information and voice prompt information to request identity authentication; after the identity information is acquired from the current management terminal, the identity information is transmitted to a system server, the data format is verified by a system software platform, the identity information is transmitted to an authentication server for being compared with the information on the pre-stored management personnel information group, after the authentication is successful, the authentication server transmits a management personnel authentication result to the system software platform, the management personnel authentication result comprises the authority range of the personnel, and the system software platform transmits intersection data of the authority range of the personnel and the requested retrieval request to the current management terminal.
Preferably, the calculation period is a natural month. And (4) the authority range in the step (6) comprises but is not limited to time authority and reading authority of each part of the report. In step (6), in addition to the request for reviewing the generated single or multiple advertisement evaluation reports, the management terminal receives the review of the advertisement evaluation reports for a plurality of successive calculation cycles and the change of each total Tj value and its accompanying JCj value in the plurality of calculation cycles, to which JCj values are attached. Each of said tjs specifically corresponds to an advertisement type including, but not limited to, selected from: video advertisements, outdoor large billboards, radio station advertisements, television advertisements, mobile browser marketing advertisements, PC end pop-up advertisements, public transport advertisements, subway advertisements and online shopping bonus advertisements. The value of the GA was 35.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that are not thought of through the inventive work should be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope defined by the claims.

Claims (2)

1. A commercial advertisement putting mode automatic analysis method is carried out by utilizing a commercial advertisement putting mode automatic analysis system, and is characterized by comprising the following steps:
the commercial advertisement putting mode automatic analysis system comprises the following components:
the system server is provided with a system software platform which performs calculation, gives charts and verifies data output and input by the system server; the system server is provided with a first memory, a second memory, a third memory and a buffer memory, wherein the first memory is specially used for storing the advertisement evaluation report of each calculation cycle, and the buffer memory is used for calculating the advertisement evaluation report data in each calculation cycle and emptying the data when each calculation cycle is finished and entering the next calculation cycle;
the user expectation evaluating server is used for storing an expected question bank for carrying out expectation evaluation and can regularly update the questions of the expected question bank and record selected information; an expected question bank in the user expected evaluation server stores at least U questions, and each question has enough additional storage space for storing one or more selected information from the expert terminal in each calculation period; u is an integer greater than or equal to 500;
the user terminal group is composed of at least C user terminals and is used for collecting format answers from the users, wherein the format answers comprise answers given to partial topics in an expected topic library and actual advertisement contact evaluation information; the information collected by all the user terminal groups in each calculation period is sent to a system server; c is an integer greater than or equal to 300; each user terminal transmits and receives data in a wireless manner;
the expert terminal group consists of expert terminals with the quantity of at least Z, and each expert terminal is used for seeking at least one question in a calculation period, adding the question into an expected question bank and carrying out selection operation on at least N questions in a calculation period; z is an integer greater than or equal to 300; each expert terminal transmits and receives data in a wireless mode;
the management terminal group is composed of at least G management terminals, and each management terminal receives user report data from the system server in a wireless mode; g is an integer greater than or equal to 300;
the reward server is used for storing a plurality of reward codes according to the serial numbers, and the stored reward codes can be called to any user terminal one by one under the permission of the system software platform;
the authentication server is provided with a prestored expert information group and a prestored management personnel information group, wherein the expert information group and the management personnel information group are provided with encrypted identification information which is stored in an item manner according to personnel ID numbers, and the encrypted identification information comprises reserved code information, fingerprint information, iris information and facial image information of personnel;
the system server, the reward server and the authentication server are all accessed to the Internet in a wired mode and need to pass format authentication when receiving any information;
the user terminal is a self-owned mobile terminal of an actual user, or a mobile terminal which can be circulated among the actual users and is specially used for evaluation; each expert terminal and each management terminal are provided with an authentication device;
the authentication equipment is selected from one of a special character input device, a fingerprint acquisition device, an iris image acquisition device, a face information camera device and a hand information camera device;
each topic of the expected topic library is a single-item choice topic with at least three choice branches, each choice branch is attached with a user expectation value Y, the numerical range is between 0% and 100%, and the attached user expectation value is not displayed on a user terminal;
1) the preparation method comprises the following steps: determining the duration of a calculation period, wherein the calculation period is continuously repeated, and an advertisement evaluation report is generated at the end of each calculation period;
sending an instruction from a system software platform, instructing a system server to empty a second memory, reserving a storage space for a selected question in an expected question bank to be utilized in the calculation period, instructing the system server to empty a third memory, and reserving a storage space for all format answers to be collected in the calculation period and a result calculated based on the format answers; making a preset format requirement of the format answer, and transmitting the preset format requirement to all user terminals so as to ensure the validity of the format answer for calculation; formulating a preset format requirement of the newly added questions and transmitting the requirement to all expert terminals so as to ensure the effectiveness of the newly added questions for calculation;
2) selecting questions in the period: after the current calculation period starts, the system software platform sends request information for soliciting questions to all expert terminals, and all expert terminals display the request information and send out sound alarm after receiving the request information;
receiving at least one newly added subject input data of subject information from each expert terminal, if the input data does not meet the requirement of a preset format, displaying unfinished prompt information on the current expert terminal and sending out a warning sound, until the input data meets the requirement of the preset format, displaying the prompt information meeting the requirement of the format, and simultaneously sending out display information and sound prompt information to require identity authentication;
after the identity information is obtained from the current expert terminal, the identity information is transmitted to a system server, the data format of the identity information is verified by a system software platform and then transmitted to an authentication server for being compared with the information in a prestored expert personnel information group, after the authentication is successful, the authentication server sends an authentication confirmation result to the system software platform, the system software platform sends a signal for granting data transmission to the current expert terminal, and the current expert terminal transmits the received newly added subject input data to a user expected evaluation server and then merges the newly added subject input data into an expected subject library;
after receiving newly-added question input data from all expert terminals, generating a question list of a current calculation period for all questions in an expected question bank, and sending the question list to each expert terminal;
on each expert terminal, the question list of the current calculation period is subjected to sequencing display and screening display in a plurality of different modes, and on the basis, information whether each specific question is selected or not given from the current expert terminal is received, and after the completion of confirmation and uploading from the current expert terminal, the information whether each specific question is selected or not is uploaded to an additional storage space in a user expected evaluation server, and the selected number information of each question in an expected question bank is counted;
the system software platform calls the number of each item in the expected item library, selects the U1 items with the most selected number from the expected item library through sorting, enters a second memory and returns prompt information selected by the items in the period to the system software platform;
3) a user terminal acquisition step: the system software platform sends the U1 titles in the step (2) and prompt information of the starting time and the ending time of the current calculation period to all user terminals;
instructing each user terminal to start receiving current-period acquisition information from a system software platform, wherein the current-period acquisition information comprises the selected information of the U1 topic and the actual advertisement contact evaluation information; the aforementioned U1-topics must all be selected and only one choice is selected; the actual advertisement contact evaluation information comprises actual contact time values Tj, j is 1, … …, L, 5 is more than or equal to L and less than or equal to 50 of L different types of advertisements, and contact time period information of each type of advertisements, wherein the actual contact time values are calculated in min, and the contact time period information is recorded information which is specific hour selected in 24h in one day;
if the input data does not meet the preset format requirement of the format answer, displaying unfinished prompt information on the current user terminal and giving out warning tone until the input data meets the preset format requirement, displaying the prompt information meeting the format requirement, transmitting the input data of each user terminal to a third memory, recording the specific time for transmitting the format answer from each user terminal, and transmitting the specific time to a system software platform;
4) and a reward issuing step: according to the recorded specific time of the transmission format answers, sequencing the terminal ID numbers of all the user terminals according to the specific time of receiving the answers by the system software platform, extracting the reward codes in the reward server one by one according to the serial numbers, and sending the reward codes to a certain user terminal corresponding to the currently extracted serial number until all the reward codes are sent; when the transmission is finished, the information that the transmission of the periodic reward codes is finished is transmitted to all the user terminals;
the system software platform calls all format answer data of the third storage, and calculates according to the following mode, firstly calculates the user expectation of the user for the format answer obtained by the ith user terminal: the expected degree value Y which can be determined according to the selection condition of specific selection branches for the questions No. 1-U1 is1、Y2……YU1The expectation degree of the ith user is Yi ═ (Y)1+Y2+……+YU1)/(U1*100);
For any expectation data of the ith user terminal, when the calculated Yi is lower than the GA, eliminating the format answer transmitted by the user terminal, and then calculating;
and calculating an evaluation value according to the excluded format answers: total T1 ═ Σ (T1i × Yi)/C, total T2 ═ Σ (T2i × Yi)/C, total T3 ═ Σ (T3i × Yi)/C, total T4 ═ Σ (T4i × Yi)/C, total T5 ═ Σ (T5i × Yi)/C, … …, total Tj ═ Σ (Tji)/C, where i sequentially corresponds to the numerical values of the 1 st and 2 … … C user terminals to complete the summation; tji is the Tj value from the ith user terminal; for the calculated total Tj value, j is 1, … …, L, sorting all the contact period information from many to few according to the number of times each period is marked, obtaining a contact hot period list JCj of each advertisement, and attaching it to the total Tj value;
generating an advertisement evaluation report of the period by combining the results of all the total Tj values accompanied by JCj values and the operation process, and storing the advertisement evaluation report in a first memory; sorting the total Tj values from long to short according to time, generating a suggested advertisement scheme according to the 2-10 total Tj values with the longest time and the first 2-10 time interval information of each JCj value attached to the total Tj values, generating a report abstract, and attaching the report to an advertisement evaluation report of the calculation period;
5) multiple calculation and report generation steps: in each calculation period, performing the calculation in the steps (1) to (4) once to generate an advertisement evaluation report of the current period; this is continued for at least 6-8 cycles;
6) the management terminal consults the steps: any manager can call the advised advertisement scheme and the report abstract of any generated advertisement evaluation report from an input interface on any one of G management terminals, and when a request for calling the advised advertisement scheme and the report abstract is input, the current management terminal simultaneously sends display information and voice prompt information to request identity authentication;
after the identity information is acquired from the current management terminal, the identity information is transmitted to a system server, the data format is verified by a system software platform, the identity information is transmitted to an authentication server for being compared with the information on the pre-stored management personnel information group, after the authentication is successful, the authentication server transmits a management personnel authentication result to the system software platform, the management personnel authentication result comprises the authority range of the personnel, and the system software platform transmits intersection data of the authority range of the personnel and the requested retrieval request to the current management terminal.
2. A commercial delivery method automatic analysis method according to claim 1, characterized in that:
the calculation period is a natural month;
the authority range in the step (6) comprises time authority and reading authority of each part of the report;
in step (6), in addition to the request for retrieving the generated single or multiple advertisement evaluation reports, the management terminal also receives the retrieval of the advertisement evaluation reports of a plurality of continuous calculation cycles and the change condition of each total Tj value attached with JCj values in the plurality of calculation cycles and the attached JCj value in the plurality of calculation cycles;
each of said Tj specifically corresponds to an advertisement type comprising a selection from: video advertisements, outdoor large billboards, radio station advertisements, television advertisements, marketing advertisements of mobile phone browsers, PC (personal computer) end pop-up advertisements, public transport advertisements, subway advertisements and online shopping bonus advertisements;
the GA value is any number between 30 and 60.
CN201910200104.XA 2019-03-15 2019-03-15 Automatic analysis system and method for commercial advertisement putting mode Active CN109949087B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910200104.XA CN109949087B (en) 2019-03-15 2019-03-15 Automatic analysis system and method for commercial advertisement putting mode

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910200104.XA CN109949087B (en) 2019-03-15 2019-03-15 Automatic analysis system and method for commercial advertisement putting mode

Publications (2)

Publication Number Publication Date
CN109949087A CN109949087A (en) 2019-06-28
CN109949087B true CN109949087B (en) 2021-08-13

Family

ID=67008446

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910200104.XA Active CN109949087B (en) 2019-03-15 2019-03-15 Automatic analysis system and method for commercial advertisement putting mode

Country Status (1)

Country Link
CN (1) CN109949087B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102256203A (en) * 2010-05-20 2011-11-23 中国移动通信集团设计院有限公司 Terminal research service system, service realization method thereof and mobile terminal
CN102542491A (en) * 2011-12-30 2012-07-04 深圳市英尔科技有限公司 Premium investigation system with accurate advertisement dissemination effect
CN105824887A (en) * 2016-03-11 2016-08-03 深圳市规划国土发展研究中心 Mobile electronic investigation system and method based on intelligent questionnaire generative design
CN105959325A (en) * 2016-07-14 2016-09-21 精硕世纪科技(北京)有限公司 Method and system for automatically pushing questionnaire
CN106202284A (en) * 2016-06-29 2016-12-07 珠海金山网络游戏科技有限公司 The system and method for questionnaire is quickly collected in a kind of mobile phone games
CN107545056A (en) * 2017-05-27 2018-01-05 中科钢研节能科技有限公司 A kind of new technology potentiality information analysis system and information analysis method
CN107909481A (en) * 2017-12-28 2018-04-13 中科钢研节能科技有限公司 One kind invests build together displaying and allotment of shares information analysis system and method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102256203A (en) * 2010-05-20 2011-11-23 中国移动通信集团设计院有限公司 Terminal research service system, service realization method thereof and mobile terminal
CN102542491A (en) * 2011-12-30 2012-07-04 深圳市英尔科技有限公司 Premium investigation system with accurate advertisement dissemination effect
CN105824887A (en) * 2016-03-11 2016-08-03 深圳市规划国土发展研究中心 Mobile electronic investigation system and method based on intelligent questionnaire generative design
CN106202284A (en) * 2016-06-29 2016-12-07 珠海金山网络游戏科技有限公司 The system and method for questionnaire is quickly collected in a kind of mobile phone games
CN105959325A (en) * 2016-07-14 2016-09-21 精硕世纪科技(北京)有限公司 Method and system for automatically pushing questionnaire
CN107545056A (en) * 2017-05-27 2018-01-05 中科钢研节能科技有限公司 A kind of new technology potentiality information analysis system and information analysis method
CN107909481A (en) * 2017-12-28 2018-04-13 中科钢研节能科技有限公司 One kind invests build together displaying and allotment of shares information analysis system and method

Also Published As

Publication number Publication date
CN109949087A (en) 2019-06-28

Similar Documents

Publication Publication Date Title
Venkatesh et al. A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges
CN1225909C (en) System and method of providing targeted advertising during video telephone calls
CN101802856A (en) Measuring a location based advertising campaign
CN103649981A (en) Method and apparatus for delivering targeted content
US20240005368A1 (en) Systems and methods for an intelligent sourcing engine for study participants
Laosirihongthong et al. Improving supply chain operations by adopting RFID technology: evaluation and comparison of enabling factors
Briandana et al. Conventional marketing communication tools for residential products in digital era
CN109949087B (en) Automatic analysis system and method for commercial advertisement putting mode
CN107481065A (en) It is a kind of to force network ad system and the method with lottery that user evaluates
JP6816091B2 (en) Analytical system
KR20010070557A (en) A research system using mobile terminals and the method thereof
CN110348807A (en) A kind of information processing method and relevant apparatus
Loh et al. Constructing a methodological approach to examine the determinants affecting purchase intention through perceived risk in the hotel context
Alwie et al. Voting decision of generation z as novice voter in the 2019 presidential election in pekanbaru city
CA2489332A1 (en) Computerized method and system for generating reports and diagnostics which measure effectiveness of an event or product or service promoted at the event
KR20230060133A (en) Platfrom system for advertising reawrd using blockchain and method of providing
KR20020006197A (en) System and method of marketing-research using internet
Ateke et al. Perspectives to the study of consumer behaviour: an overview
Sieber Consumers in Swiss online grocery shops
CN109978611B (en) New product prospective population prediction lottery-type evaluation system and method
KR20150053313A (en) Method for a customized information collection and efficient communication
Chappell Jr et al. Confessions of an Internet Monopolist: Demand estimation for a versioned information good
Cao et al. Service failure, recovery and improvement: the case of a Chinese restaurant
Turunen Improving Effectiveness and Customer Experience with Personalized Email Marketing: Case: Raflaamo Newsletter
Шынгысовa et al. Strategic communications in the process of integration and media planning of the smart city advertising campaign

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PP01 Preservation of patent right

Effective date of registration: 20230329

Granted publication date: 20210813

PP01 Preservation of patent right