CN110766469A - Dimension advertisement analysis management method, device, equipment and storage medium - Google Patents
Dimension advertisement analysis management method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN110766469A CN110766469A CN201911026225.3A CN201911026225A CN110766469A CN 110766469 A CN110766469 A CN 110766469A CN 201911026225 A CN201911026225 A CN 201911026225A CN 110766469 A CN110766469 A CN 110766469A
- Authority
- CN
- China
- Prior art keywords
- data
- analyzed
- advertisement
- analysis
- advertisement analysis
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0242—Determining effectiveness of advertisements
Landscapes
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Economics (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention relates to the technical field of computer technology, in particular to a dimensional advertisement analysis management method, a device, equipment and a storage medium, wherein the dimensional advertisement analysis management method comprises the following steps: s10: if an advertisement analysis request is obtained, obtaining push channel type information from the advertisement analysis request; s20: acquiring a data template to be analyzed according to the pushing channel type information; s30: acquiring data to be analyzed according to the data template to be analyzed; s40: and analyzing the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result. The invention can analyze and manage the user group receiving the advertisement, and improve the latitude of advertisement analysis, thereby being beneficial to improving the overall precision of advertisement pushing.
Description
Technical Field
The invention relates to the technical field of computer technology, in particular to a dimensional advertisement analysis management method, a device, equipment and a storage medium.
Background
Currently, with the rapid development of the internet industry, mobile advertising becomes a new mode of the current internet advertising industry.
The existing mobile advertisement can recommend corresponding advertisement information to a corresponding user according to the consumption habits of the user, so that the consumption habits or usual behavior habits of the user need to be obtained, and advertisements suitable for the user are analyzed. However, the user is analyzed only through the usual consumption habit or consumption record of the user, and the latitude of the analysis is relatively single, so that the analysis result is influenced, and therefore, the improvement space exists.
Disclosure of Invention
The invention aims to provide a dimension advertisement analysis management method, a device, equipment and a storage medium, which can analyze and manage user groups receiving advertisements, improve the latitude of advertisement analysis and further contribute to improving the overall accuracy of advertisement pushing.
The above object of the present invention is achieved by the following technical solutions:
a dimension advertisement analysis management method comprises the following steps:
s10: if an advertisement analysis request is obtained, obtaining push channel type information from the advertisement analysis request;
s20: acquiring a data template to be analyzed according to the pushing channel type information;
s30: acquiring data to be analyzed according to the data template to be analyzed;
s40: and analyzing the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result.
By adopting the technical scheme, when the pushed advertisements need to be analyzed, the pushed channel type information is obtained from the advertisement analysis request, the media data of the pushed advertisements can be obtained through different advertisement pushing channels for analysis, the advertisement pushing condition of each pushed channel type information can be analyzed, the content of each advertisement pushing mode can be adjusted according to the analysis result, and the advertisement pushing effect can be obtained and improved; meanwhile, during analysis, the data to be analyzed is obtained through the corresponding data template to be analyzed, so that the efficiency of obtaining the data to be analyzed can be improved; the data to be analyzed are analyzed through the advertisement analysis model, the advertisement pushing effect of the pushing channel type information can be rapidly analyzed, and then the pushed advertisements can be timely adjusted and processed.
The invention is further configured to: before step S10, the dimensional advertisement analysis management method further includes:
s101: acquiring historical push data, and acquiring historical push media data from the historical push data;
s102: and forming the historical push media data into a push media data set to be matched.
By adopting the technical scheme, the to-be-matched push media data set is established according to the historical push data, and the advertisement analysis request can be used for directly matching the push destination type information from the to-be-matched push media data set.
The invention is further configured to: step S10 includes:
s11: taking the advertisement analysis request as a character string to be matched, and using the character string to be matched to perform matching query in the pushed media data set to be matched;
s12: and taking the data successfully matched and inquired as the pushing channel type information.
By adopting the technical scheme, the pushing channel type information is obtained in a matching mode, the corresponding pushing channel type information can be quickly matched from the advertisement analysis request, the different pushing channel type information of the same advertisement content can be simultaneously analyzed in the advertisement analysis request, and the analysis effect is improved.
The invention is further configured to: step S30 includes:
s31: acquiring pushed advertisement data of the pushing channel type information, and performing matching query on the pushed advertisement data by using the data template to be analyzed to obtain a data identifier to be analyzed;
s32: and acquiring the corresponding data to be analyzed according to the data identification to be analyzed.
By adopting the technical scheme, the data to be analyzed is firstly matched, and then the data to be analyzed is matched through the data to be analyzed, so that the matching efficiency can be improved.
The invention is further configured to: after step S40, the dimensional advertisement analysis management method further includes:
s50: if a result export request is obtained, obtaining data storage path information from the result export request;
s60: and generating a data analysis table according to the analysis result, and storing the data analysis table according to the data storage path.
By adopting the technical scheme, after the result export request is obtained, the analysis result is exported to the data table for storage, the analysis result of the current advertisement pushing effect can be stored, the follow-up viewing and analysis of the advertisement pushing condition in a history period are facilitated, and the strategy of advertisement pushing is adjusted in time.
The second aim of the invention is realized by the following technical scheme:
a dimensional advertisement analysis management apparatus, the dimensional advertisement analysis management apparatus comprising:
the request acquisition module is used for acquiring pushing channel type information from the advertisement analysis request if the advertisement analysis request is acquired;
the template analysis module is used for acquiring a data template to be analyzed according to the pushing channel type information;
the data to be analyzed acquisition module is used for acquiring data to be analyzed according to the data to be analyzed template;
and the analysis module is used for analyzing the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result.
By adopting the technical scheme, when the pushed advertisements need to be analyzed, the pushed channel type information is obtained from the advertisement analysis request, the media data of the pushed advertisements can be obtained through different advertisement pushing channels for analysis, the advertisement pushing condition of each pushed channel type information can be analyzed, the content of each advertisement pushing mode can be adjusted according to the analysis result, and the advertisement pushing effect can be obtained and improved; meanwhile, during analysis, the data to be analyzed is obtained through the corresponding data template to be analyzed, so that the efficiency of obtaining the data to be analyzed can be improved; the data to be analyzed are analyzed through the advertisement analysis model, the advertisement pushing effect of the pushing channel type information can be rapidly analyzed, and then the pushed advertisements can be timely adjusted and processed.
The third object of the invention is realized by the following technical scheme:
a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the dimensional advertisement analysis management method when executing the computer program.
The fourth object of the invention is realized by the following technical scheme:
a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the dimensional advertisement analysis management method described above.
In conclusion, the beneficial technical effects of the invention are as follows:
1. when the pushed advertisements need to be analyzed, the pushed channel type information is obtained from the advertisement analysis request, the media data of the pushed advertisements can be obtained through different advertisement pushing channels for analysis, the advertisement pushing condition of each pushed channel type information can be analyzed, the content of each advertisement pushing mode can be adjusted according to the analysis result, and the advertisement pushing effect can be obtained and improved;
2. during analysis, the data to be analyzed is obtained through the corresponding data template to be analyzed, so that the efficiency of obtaining the data to be analyzed can be improved; the data to be analyzed are analyzed through the advertisement analysis model, the advertisement pushing effect of the pushing channel type information can be rapidly analyzed, and then the pushed advertisements can be timely adjusted and processed.
Drawings
FIG. 1 is a flow chart of a dimensional advertisement analysis management method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating the implementation of step S10 in the dimensional advertisement analysis management method according to an embodiment of the present invention;
FIG. 3 is another flow diagram of a dimensional advertisement analysis management method according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating the implementation of step S30 in the dimensional advertisement analysis management method according to an embodiment of the present invention;
FIG. 5 is another flow chart of a dimensional advertisement analysis management method according to an embodiment of the present invention;
FIG. 6 is a schematic block diagram of a dimensional advertisement analysis management apparatus according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a computer device according to an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The first embodiment is as follows:
in an embodiment, as shown in fig. 1, the present invention discloses a dimension advertisement analysis management method, which specifically includes the following steps:
s10: and if the advertisement analysis request is obtained, obtaining pushing channel type information from the advertisement analysis request.
In this embodiment, the advertisement analysis request refers to a message requesting analysis of data generated when an advertisement has been pushed. The push channel type information is information of a manner of pushing an advertisement to the public or a user. The push channel type information includes a vehicle channel, a print advertisement channel, a live advertisement channel of a display screen located in a place with a large traffic volume, a television channel, a broadcast channel, a mobile terminal channel, and the like.
Specifically, when an advertisement analysis request is obtained, push channel type information that needs to be analyzed is obtained from the advertisement analysis request, where the push channel type information may include type information of one or more channels.
S20: and acquiring a data template to be analyzed according to the pushing channel type information.
In this embodiment, the template of the data to be analyzed refers to a preset template for acquiring data corresponding to the push channel type information.
Specifically, each piece of push channel type information is preset with a corresponding data template to be analyzed, and the data template to be analyzed is associated with the corresponding push channel type information, so that the corresponding data template to be analyzed can be obtained through the push channel type information.
S30: and acquiring the data to be analyzed according to the data template to be analyzed.
In this embodiment, the data to be analyzed refers to different types of data for analyzing each corresponding push channel type in the advertisement analysis request.
Specifically, the corresponding data to be analyzed is obtained according to the push channel type information in the advertisement analysis request. Further, the data to be analyzed is matched from the data to be analyzed by using the data template to be analyzed of each push channel type information in the advertisement analysis request.
S40: and analyzing the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result.
In the present embodiment, the advertisement analysis model refers to a model for analyzing profit and loss analysis and risk assessment of a pushed advertisement.
Specifically, an algorithm for analyzing profit and loss analysis and risk assessment of each push channel type information is obtained according to experience of a person skilled in the art and analysis performed in advance according to historical data, and the algorithm is used as the advertisement analysis model.
Further, after the data to be analyzed of each push channel type information is obtained, the data to be analyzed is analyzed by using the corresponding advertisement analysis model, and then the analysis result of the specific push channel of the advertisement is obtained.
Preferably, for different analysis results which are expected to be simulated and used for testing whether the pushing mode is damaged or not and checking the corresponding risks, the existing data to be analyzed can be manually input or changed, and corresponding analysis is carried out to obtain the simulated analysis results.
In this embodiment, when the pushed advertisements need to be analyzed, by acquiring the type information of the pushing channel from the advertisement analysis request, the media data of the pushed advertisements can be acquired through different advertisement pushing channels to be analyzed, and then the advertisement pushing condition of each pushing channel type information can be analyzed, and further the content of each advertisement pushing mode can be adjusted according to the analysis result, so as to help to acquire and improve the advertisement pushing effect; meanwhile, during analysis, the data to be analyzed is obtained through the corresponding data template to be analyzed, so that the efficiency of obtaining the data to be analyzed can be improved; the data to be analyzed are analyzed through the advertisement analysis model, the advertisement pushing effect of the pushing channel type information can be rapidly analyzed, and then the pushed advertisements can be timely adjusted and processed.
In one embodiment, as shown in fig. 2, before step S10, the dimension advertisement analysis management method further includes:
s101: and acquiring historical push data, and acquiring historical push media data from the historical push data.
In this embodiment, the historical push data refers to data generated by pushing advertisements to the public or users through different channels in the past period of time. The history push media data refers to data of a history of a way of pushing an advertisement to the public or a user.
Specifically, data of pushing an advertisement to the public or a user for a historical period of time, for example, one month, three months, one year, or from the generation of the advertisement until now is acquired as the historical push data, and historical push media data is acquired from the historical push data.
S102: and forming historical push media data into a push media data set to be matched.
In this embodiment, the to-be-matched push media data set refers to a data set in which history push media data is stored.
Specifically, a data set for storing data is created, and the historical push media data is stored in the data set, so as to obtain the push media data set to be matched.
In an embodiment, as shown in fig. 3, in step S10, that is, if the advertisement analysis request is obtained, obtaining the push channel type information from the advertisement analysis request specifically includes the following steps:
s11: and taking the advertisement analysis request as a character string to be matched, and performing matching query in the pushed media data set to be matched by using the character string to be matched.
In this embodiment, the to-be-matched character string refers to a character string for matching the query push channel type information.
Specifically, character data of the advertisement analysis request is used as the character string to be matched, and the push media data set to be matched is used for matching and querying the character string to be matched, so that push channel type information is matched in the advertisement analysis request.
S12: and taking the data successfully matched and inquired as the pushing channel type information.
Specifically, the character string data successfully matched and queried is used as the push channel type information.
In an embodiment, as shown in fig. 4, in step S30, that is, acquiring data to be analyzed according to a data template to be analyzed, the method specifically includes the following steps:
s31: and acquiring pushed advertisement data of the pushing channel type information, and performing matching query on the pushed advertisement data by using a data template to be analyzed to obtain a data identifier to be analyzed.
In the present embodiment, the pushed advertisement data refers to data of an advertisement that has been pushed to the public or the user among the data to be analyzed. The data to be analyzed is an identifier for identifying each kind of pushed advertisement data.
Specifically, the data template to be analyzed is used for carrying out matching query in the pushed advertisement data, and the character string successfully matched is used as the data identifier to be analyzed.
S32: and acquiring corresponding data to be analyzed according to the data identification to be analyzed.
Specifically, the data identifier to be analyzed and the corresponding data to be analyzed are put into a hash map in advance, and after the data identifier to be analyzed is obtained, the data to be analyzed corresponding to the data identifier to be analyzed is obtained by using the hash map.
In an embodiment, as shown in fig. 5, after step S40, the dimension advertisement analysis management method further includes:
s50: and if the result export request is acquired, acquiring the data storage path information from the result export request.
In the present embodiment, the result derivation request refers to information requesting derivation of the analysis result. The data storage path information is data for identifying a location where the analysis result is derived and stored in the computer or the server.
Specifically, when the analysis result needs to be exported, a dialog box for selecting data storage path information is generated by triggering a corresponding key, and the result export request is generated after a data storage path is input in the dialog box. Further, after the result export request is obtained, the data storage path information is obtained from the result export request.
S60: and generating a data analysis table according to the analysis result, and storing the data analysis table according to the data storage path.
In this embodiment, the data analysis table refers to a data table in which analysis results are stored.
Specifically, the analysis result is stored in the EXCEL table, and the data analysis table is obtained. Further, the data analysis table is stored to a corresponding position in a computer or a database according to a data storage path.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example two:
in an embodiment, a dimensional advertisement analysis management device is provided, and the dimensional advertisement analysis management device corresponds to the dimensional advertisement analysis management method in the above embodiments one to one. As shown in fig. 6, the dimensional advertisement analysis management apparatus includes a request acquisition module 10, a template analysis module 20, a data to be analyzed acquisition module 30, and an analysis module 40. The functional modules are explained in detail as follows:
the request obtaining module 10 is configured to obtain push channel type information from the advertisement analysis request if the advertisement analysis request is obtained;
the template analysis module 20 is used for acquiring a data template to be analyzed according to the pushing channel type information;
the data to be analyzed acquisition module 30 is used for acquiring data to be analyzed according to the data template to be analyzed;
and the analysis module 40 is configured to analyze the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result.
Preferably, the dimension advertisement analysis management apparatus further includes:
a history data obtaining module 101, configured to obtain history push data and obtain history push media data from the history push data;
the matching data set obtaining module 102 is configured to combine historical pushed media data into a pushed media data set to be matched.
Preferably, the request obtaining module 10 includes:
the character string obtaining sub-module 11 is configured to use the advertisement analysis request as a character string to be matched, and perform matching query on the push media data set to be matched by using the character string to be matched;
and the channel information acquisition submodule 12 is used for taking the data successfully matched and inquired as the push channel type information.
Preferably, the data to be analyzed acquisition module 30 further includes:
the identification matching submodule 31 is configured to obtain pushed advertisement data of the pushing channel type information, perform matching query on the pushed advertisement data by using a data template to be analyzed, and obtain an identification of the data to be analyzed;
and the data to be analyzed obtaining submodule 32 is configured to obtain corresponding data to be analyzed according to the data to be analyzed identifier.
Preferably, the dimension advertisement analysis management apparatus further includes:
a path obtaining module 50, configured to, if a result export request is obtained, obtain data storage path information from the result export request;
and the storage module 60 is configured to generate a data analysis table according to the analysis result, and store the data analysis table according to the data storage path.
For specific limitations of the dimension advertisement analysis management device, reference may be made to the above limitations of the dimension advertisement analysis management method, which is not described herein again. The modules in the dimensional advertisement analysis management device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Example three:
in one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing historical push data and data analysis tables. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a dimensional advertisement analysis management method.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
s10: if the advertisement analysis request is obtained, obtaining pushing channel type information from the advertisement analysis request;
s20: acquiring a data template to be analyzed according to the pushing channel type information;
s30: acquiring data to be analyzed according to a data template to be analyzed;
s40: and analyzing the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result.
Example four:
in one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
s10: if the advertisement analysis request is obtained, obtaining pushing channel type information from the advertisement analysis request;
s20: acquiring a data template to be analyzed according to the pushing channel type information;
s30: acquiring data to be analyzed according to a data template to be analyzed;
s40: and analyzing the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A dimension advertisement analysis management method is characterized by comprising the following steps:
s10: if an advertisement analysis request is obtained, obtaining push channel type information from the advertisement analysis request;
s20: acquiring a data template to be analyzed according to the pushing channel type information;
s30: acquiring data to be analyzed according to the data template to be analyzed;
s40: and analyzing the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result.
2. The dimension advertisement analysis management method of claim 1, wherein, before step S10, the dimension advertisement analysis management method further comprises:
s101: acquiring historical push data, and acquiring historical push media data from the historical push data;
s102: and forming the historical push media data into a push media data set to be matched.
3. The dimensional advertisement analysis management method according to claim 2, wherein the step S10 includes:
s11: taking the advertisement analysis request as a character string to be matched, and using the character string to be matched to perform matching query in the pushed media data set to be matched;
s12: and taking the data successfully matched and inquired as the pushing channel type information.
4. The dimensional advertisement analysis management method according to claim 1, wherein the step S30 includes:
s31: acquiring pushed advertisement data of the pushing channel type information, and performing matching query on the pushed advertisement data by using the data template to be analyzed to obtain a data identifier to be analyzed;
s32: and acquiring the corresponding data to be analyzed according to the data identification to be analyzed.
5. The dimension advertisement analysis management method of claim 1, wherein after the step S40, the dimension advertisement analysis management method further comprises:
s50: if a result export request is obtained, obtaining data storage path information from the result export request;
s60: and generating a data analysis table according to the analysis result, and storing the data analysis table according to the data storage path.
6. A dimension advertisement analysis management device, characterized by comprising:
the request acquisition module is used for acquiring pushing channel type information from the advertisement analysis request if the advertisement analysis request is acquired;
the template analysis module is used for acquiring a data template to be analyzed according to the pushing channel type information;
the data to be analyzed acquisition module is used for acquiring data to be analyzed according to the data to be analyzed template;
and the analysis module is used for analyzing the data to be analyzed by using a preset advertisement analysis model to obtain a corresponding analysis result.
7. The dimensional advertisement analysis management apparatus according to claim 6, further comprising:
the historical data acquisition module is used for acquiring historical push data and acquiring historical push media data from the historical push data;
and the matching data set acquisition module is used for forming the historical pushed media data into a pushed media data set to be matched.
8. The dimensional advertisement analysis management apparatus of claim 6, wherein the request acquisition module comprises:
the character string acquisition sub-module is used for taking the advertisement analysis request as a character string to be matched and using the character string to be matched to perform matching query in the pushed media data set to be matched;
and the channel information acquisition submodule is used for taking the data successfully matched and inquired as the pushing channel type information.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the dimensional advertisement analysis management method according to any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the dimensional advertisement analysis management method according to any one of claims 1 to 5.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911026225.3A CN110766469A (en) | 2019-10-25 | 2019-10-25 | Dimension advertisement analysis management method, device, equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911026225.3A CN110766469A (en) | 2019-10-25 | 2019-10-25 | Dimension advertisement analysis management method, device, equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110766469A true CN110766469A (en) | 2020-02-07 |
Family
ID=69333957
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911026225.3A Pending CN110766469A (en) | 2019-10-25 | 2019-10-25 | Dimension advertisement analysis management method, device, equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110766469A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112232862A (en) * | 2020-10-12 | 2021-01-15 | 上海移卓网络科技有限公司 | Method, device, equipment and storage medium for predicting advertisement business channel ROI |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106204097A (en) * | 2016-06-27 | 2016-12-07 | 北京小米移动软件有限公司 | Information-pushing method, device and mobile terminal |
CN106971317A (en) * | 2017-03-09 | 2017-07-21 | 杨伊迪 | The advertisement delivery effect evaluation analyzed based on recognition of face and big data and intelligently pushing decision-making technique |
CN109034906A (en) * | 2018-08-03 | 2018-12-18 | 北京木瓜移动科技股份有限公司 | Anti- cheat method, device, electronic equipment and the storage medium of advertising conversion |
CN109670094A (en) * | 2018-10-25 | 2019-04-23 | 深圳市慧动创想科技有限公司 | Processing method, device, computer equipment and the storage medium of ad data |
CN109684383A (en) * | 2018-12-25 | 2019-04-26 | 广州天鹏计算机科技有限公司 | Acquisition methods, device, computer equipment and the storage medium of data analysis result |
-
2019
- 2019-10-25 CN CN201911026225.3A patent/CN110766469A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106204097A (en) * | 2016-06-27 | 2016-12-07 | 北京小米移动软件有限公司 | Information-pushing method, device and mobile terminal |
CN106971317A (en) * | 2017-03-09 | 2017-07-21 | 杨伊迪 | The advertisement delivery effect evaluation analyzed based on recognition of face and big data and intelligently pushing decision-making technique |
CN109034906A (en) * | 2018-08-03 | 2018-12-18 | 北京木瓜移动科技股份有限公司 | Anti- cheat method, device, electronic equipment and the storage medium of advertising conversion |
CN109670094A (en) * | 2018-10-25 | 2019-04-23 | 深圳市慧动创想科技有限公司 | Processing method, device, computer equipment and the storage medium of ad data |
CN109684383A (en) * | 2018-12-25 | 2019-04-26 | 广州天鹏计算机科技有限公司 | Acquisition methods, device, computer equipment and the storage medium of data analysis result |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112232862A (en) * | 2020-10-12 | 2021-01-15 | 上海移卓网络科技有限公司 | Method, device, equipment and storage medium for predicting advertisement business channel ROI |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109558440B (en) | Data batch processing method and device, computer equipment and storage medium | |
CN110413634B (en) | Data query method, system, device and computer readable storage medium | |
CN107807967B (en) | Real-time recommendation method, electronic device and computer-readable storage medium | |
CN108932257B (en) | Multi-dimensional data query method and device | |
EP2924588A1 (en) | Report creation method, device and system | |
CN110532259B (en) | Base table query method, device, computer equipment and storage medium | |
CN111324905A (en) | Image data labeling method and device, computer equipment and storage medium | |
CN110688598A (en) | Service parameter acquisition method and device, computer equipment and storage medium | |
CN109447820B (en) | Data processing method, device, computer equipment and storage medium | |
CN110321480B (en) | Recommendation information pushing method and device, computer equipment and storage medium | |
CN108052553B (en) | Method and device for generating electronic manual, computer equipment and storage medium | |
CN112528201A (en) | Method and device for calling third-party platform, computer equipment and storage medium | |
CN109150757B (en) | Advertisement resource processing method and device and electronic equipment | |
CN111107042A (en) | Message parsing method and device, computer equipment and storage medium | |
CN110766469A (en) | Dimension advertisement analysis management method, device, equipment and storage medium | |
CN113742577A (en) | AB test scheme processing method, device, equipment and storage medium based on SaaS | |
CN114003432A (en) | Parameter checking method and device, computer equipment and storage medium | |
CN111382250A (en) | Question text matching method and device, computer equipment and storage medium | |
CN117971314A (en) | Business execution method and device based on large language model, storage medium and equipment | |
CN111679963A (en) | User behavior data processing method, device, equipment and storage medium | |
CN109934609B (en) | Advertisement data association method and device, computer equipment and storage medium | |
CN115098738A (en) | Service data extraction method and device, storage medium and electronic equipment | |
CN113254349A (en) | AB test processing method, device, equipment and storage medium based on cloud function | |
CN112052422A (en) | Method and device for building internet hospital webpage, electronic equipment and storage medium | |
WO2019233165A1 (en) | Device maintenance method, server, terminal and system |
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 | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20211021 Address after: 510799 Room 203, building 1, No. 6, Dashadi West, Huangpu District, Guangzhou, Guangdong Province (office only) Applicant after: Guangzhou Jinsheng Animation Co.,Ltd. Address before: 510000 No. 242 Tianhe Road, Tianhe District, Guangzhou City, Guangdong Province, 2015 (office use only) Applicant before: Guangzhou lingxinda Industry Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200207 |
|
RJ01 | Rejection of invention patent application after publication |