CN108269127B - Potential object mining method and device - Google Patents
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Abstract
The invention provides a potential object mining method and device, wherein the method comprises the following steps: collecting media data carrying push information, and determining a target type corresponding to the media data; calling an identification strategy corresponding to the target type, identifying the media data by using the identification strategy, and determining an object to which the push information belongs and display parameter information of the push information; acquiring the delivery cost of the push information according to the affiliated object and the display parameter information; and displaying the object to which the release cost and the push information belong. The method can budget the delivery cost of the pushed information, so that sales personnel can visually know the delivery cost of the affiliated object, and can purposefully excavate the potential object according to the delivery cost, and the success rate of excavating the potential object is improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a potential object mining method and device.
Background
With the development of internet technology, users can surf the internet anytime and anywhere, and advertisements are a main income source of each large internet company. In 2016, the advertisement market is online, that is, the total amount of the internet media magazine is 2757.9 million yuan, while the total amount of the offline advertisement market magazine is 7592.3 million yuan, for example, the total amount of the offline advertisement market magazine is 2.75 times that of the online advertisement market.
Therefore, how to budget the advertisement delivery cost of the advertiser on line makes the salesperson to specifically mine the potential advertiser, and becomes a difficult problem to be solved by each large internet company.
Disclosure of Invention
The present invention is directed to solving, at least in part, one of the technical problems in the related art.
Therefore, a first object of the present invention is to provide a method for mining a potential object, so as to budget the delivery cost of push information, so that a salesperson can intuitively know the delivery cost of an affiliated object, and can mine the potential object in a targeted manner according to the delivery cost, thereby increasing the success rate of mining the potential object.
The second purpose of the invention is to provide a potential object digging device.
A third object of the invention is to propose a computer device.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
A fifth object of the invention is to propose a computer program product.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a potential object mining method, including:
collecting media data carrying push information, and determining a target type corresponding to the media data;
calling an identification strategy corresponding to the target type, identifying the media data by using the identification strategy, and determining an object to which the push information belongs and display parameter information of the push information;
acquiring the delivery cost of the push information according to the affiliated object and the display parameter information;
and displaying the putting cost and the object to which the push information belongs.
According to the potential object mining method, the medium data carrying the push information are collected, the target type corresponding to the medium data is determined, the identification strategy corresponding to the target type is called, the medium data are identified by the identification strategy, the object to which the push information belongs and the display parameter information of the push information are determined, the release cost of the push information can be obtained according to the object to which the push information belongs and the display parameter information, and the release cost and the object to which the push information belongs are displayed. Therefore, the budget of the delivery cost of the pushed information can be estimated, so that the salesperson can visually know the delivery cost of the affiliated object, the potential object can be purposefully excavated according to the delivery cost, and the success rate of potential object excavation is improved.
In order to achieve the above object, a potential object mining device according to a second embodiment of the present invention includes:
the acquisition module is used for acquiring media data carrying push information and determining a target type corresponding to the media data;
the calling module is used for calling the identification strategy corresponding to the target type;
the identification module is used for identifying the medium data by using the identification strategy and determining an object to which the push information belongs and display parameter information of the push information;
the acquisition module is used for acquiring the release cost of the push information according to the affiliated object and the display parameter information;
and the display module is used for displaying the putting cost and the object to which the push information belongs.
The potential object mining device provided by the embodiment of the invention acquires the media data carrying the push information, determines the target type corresponding to the media data, calls the identification strategy corresponding to the target type, identifies the media data by using the identification strategy, determines the object to which the push information belongs and the display parameter information of the push information, further acquires the release cost of the push information according to the object to which the push information belongs and the display parameter information, and displays the release cost and the object to which the push information belongs. Therefore, the budget of the delivery cost of the pushed information can be estimated, so that the salesperson can visually know the delivery cost of the affiliated object, the potential object can be purposefully excavated according to the delivery cost, and the success rate of potential object excavation is improved.
To achieve the above object, a third embodiment of the present invention provides a computer device, including: a processor and a memory;
wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the potential object mining method according to the embodiment of the first aspect of the present invention.
In order to achieve the above object, a fourth aspect of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program is configured to, when executed by a processor, implement a potential object mining method according to an embodiment of the first aspect of the present invention.
In order to achieve the above object, a fifth embodiment of the present invention provides a computer program product, wherein when being executed by an instruction processor, the computer program product implements the potential object mining method according to the first embodiment of the present invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic diagram showing the percentage of the total amount of an offline and online advertising market journal example of 2016 years;
fig. 2 is a schematic flowchart of a potential object mining method according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a potential object mining method according to a second embodiment of the present invention;
fig. 4 is a schematic flowchart of a potential object mining method according to a third embodiment of the present invention;
fig. 5 is a schematic flowchart of a potential object mining method according to a fourth embodiment of the present invention;
fig. 6 is a schematic flowchart of a potential object mining method according to a fifth embodiment of the present invention;
fig. 7 is a schematic flowchart of a potential object mining method according to a sixth embodiment of the present invention;
fig. 8 is a schematic flowchart of a potential object mining method according to a seventh embodiment of the present invention;
fig. 9 is a schematic structural diagram of a potential object mining device according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of another potential object excavating device according to an embodiment of the present invention;
FIG. 11 is a schematic structural diagram of a potential object mining device according to an embodiment of the present invention;
FIG. 12 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative and intended to explain the present invention and should not be construed as limiting the present invention.
With the development of internet technology, users can surf the internet anytime anywhere, and advertisements are the main income sources of all large internet companies. As shown in table 1, in 2016, the total amount of the advertisement market is 2757.9 billion yuan for online internet-media magazine cases, and 7592.3 billion for offline magazine cases such as tv, newspaper, magazine, radio, offline video, etc. Referring to fig. 1, fig. 1 is a schematic diagram showing the percentage of the total amount of the offline and online advertising market journal examples of 2016 years. It can be seen that the total volume of the offline advertising market journal example in 2016 is 2.75 times that of the online advertising market.
TABLE 1
In The off-line advertising market, television, newspaper, magazine, traditional outdoor and traffic screen consumption gradually decrease, and building screen, cinema screen and Over-peak (Over The Top, abbreviated as OTT) show strong growth momentum. Therefore, how to budget the advertisement putting cost of the advertiser under the online condition, so that the salesperson can purposefully excavate the potential advertiser, and the problem to be solved by each large internet company is urgently solved.
In order to solve the technical problem that in the prior art, the cost of delivering advertisements of an advertiser on line cannot be budgeted, and therefore a salesperson cannot pointedly mine potential advertisers, in the embodiment of the invention, the media data carrying push information are collected, the target type corresponding to the media data is determined, then the identification strategy corresponding to the target type is called, the media data is identified by using the identification strategy, the object to which the push information belongs and the display parameter information of the push information are determined, the cost of delivering the push information can be obtained according to the object to which the push information belongs and the display parameter information, and the cost of delivering the push information and the object to which the push information belongs are displayed. Therefore, the budget of the delivery cost of the pushed information can be estimated, so that the salesperson can visually know the delivery cost of the affiliated object, the potential object can be purposefully excavated according to the delivery cost, and the success rate of potential object excavation is improved.
The potential object mining method and apparatus of the embodiments of the present invention are described below with reference to the accompanying drawings.
Fig. 2 is a schematic flowchart of a potential object mining method according to an embodiment of the present invention.
As shown in fig. 2, the potential object mining method includes the following steps:
In the embodiment of the present invention, the media data may be data of types such as video, audio, periodicals, and pictures, and the push information is information carried in the media data, for example, the push information may be an advertisement. Correspondingly, the type of the media data can be video, audio, publication, street view picture, etc.
In the embodiment of the present invention, media data carrying push information online or offline may be collected, or media data carrying push information offline may also be collected, which is not limited herein. After the media data are acquired, the target type corresponding to the media data can be determined. As a possible implementation manner, artificial Intelligence (AI) recognition may be performed on the media data to determine a target type corresponding to the media data.
And 102, calling an identification strategy corresponding to the target type, identifying the medium data by using the identification strategy, and determining an object to which the push information belongs and display parameter information of the push information.
In the embodiment of the invention, the identification strategies of different types of media data are different. As a possible implementation manner, the corresponding relationship between different types of media data and the identification policy may be pre-established, so that after the target type of the media data is determined, the corresponding relationship may be queried to obtain the identification policy corresponding to the target type. Therefore, the media data can be identified by using the corresponding identification strategy, and the object to which the push information belongs and the display parameter information of the push information are determined.
When the push information is the advertisement, the affiliated object is the advertiser. It is understood that the presentation parameter information of the push information may be the same or different for different types of media data. For example, when the target type of the media data is a video, the presentation parameter information may be: the playing time, the playing time interval (morning time interval, daytime time interval, dusk time interval, prime time interval, midnight time interval), the playing times, and the like, or, when the target type of the media data is a publication, the display parameter information may be: the display position (the layout where the push information is located) and the display area (the layout area occupied by the push information).
And 103, acquiring the putting cost of the push information according to the affiliated object and the display parameter information.
It can be understood that the delivery cost of the push information is different for the affiliated object under different display parameter information. For example, when the target type of the media data is a video, assuming that the playing time duration in the presentation parameter information is 10s, the playing time duration is midnight time duration, the playing frequency is 2 times, and the playing object is CCTV1, the delivery cost of the push information is a, and when the playing time duration in the presentation parameter information is 10s, the playing time duration is golden time duration, the playing frequency is 2 times, and the playing object is CCTV1, the delivery cost of the push information is B, and obviously B is greater than a.
As a possible implementation manner, the first release cost of the object predicted under different display parameter information and the weight of each display parameter information of the push information may be obtained, so that the second release cost may be obtained by weighting the weight of each display parameter information and the first release cost under the display parameter information, and the second release cost of each display parameter information is summed to obtain the release cost of the push information.
As another possible implementation manner, the third placement costs of the object to which the pushed information belongs under different combinations of the display parameter information may be pre-determined, so that after the display parameter information of the object to which the pushed information belongs is determined, the display parameter information combination may be searched for, and a combination matched with the display parameter information of the pushed information is obtained, so that the third placement costs of the matched combination is used as the placement costs of the pushed information, and the operation is simple and easy to implement.
And 104, displaying the object to which the release cost and the push information belong.
In the embodiment of the invention, after the release cost of the push information is determined, the release cost and the object to which the push information belongs can be displayed, so that a salesperson can purposefully excavate the object according to the release cost, and the success rate of object excavation can be improved.
The potential object mining method of the embodiment acquires media data carrying push information, determines a target type corresponding to the media data, calls an identification strategy corresponding to the target type, identifies the media data by using the identification strategy, determines an object to which the push information belongs and display parameter information of the push information, further can acquire the delivery cost of the push information according to the object to which the push information belongs and the display parameter information, and displays the delivery cost and the object to which the push information belongs. Therefore, the budget of the delivery cost of the pushed information can be estimated, so that the salesperson can visually know the delivery cost of the affiliated object, the potential object can be purposefully excavated according to the delivery cost, and the success rate of potential object excavation is improved.
As a first possible implementation manner of the embodiment of the present invention, when the target type corresponding to the media data is a video, referring to fig. 3, on the basis of the embodiment shown in fig. 2, step 102 may specifically include the following sub-steps:
in step 201, when the target type corresponding to the media data is a video, extracting a key frame from the media data.
In the embodiment of the invention, when the target type corresponding to the media data is a video, the key frames can be extracted from the media data. For example, the key frame of the media data may be determined according to a color histogram, brightness, and sharpness of each frame of image in the media data, or the key frame of the media data may be extracted according to other algorithms, which is not limited by the embodiment of the present invention.
Alternatively, when the push information is an advertisement, the attribute information may be a brand, a logo, a trademark, or the like. When the key frame of the media data is extracted, the attribute information of the push information can be identified from the key frame. As a possible implementation manner, training samples may be generated in advance according to a plurality of labeled images, then the training samples are used to train the attribute information recognition model, and then the trained attribute information recognition model is used to recognize the key frame to obtain the attribute information of the push information.
After the attribute information of the push information is identified, the object to which the push information belongs can be determined according to the attribute information. As a possible implementation manner, the corresponding relationship between different attribute information and the object may be pre-established, so that after the attribute information of the push information is determined, the corresponding relationship may be queried to obtain the object corresponding to the attribute information as the object to which the push information belongs, and the operation is simple and easy to implement.
It should be noted that, in the embodiment of the present invention, the step 203 is executed after the step 202, but the present invention is not limited thereto, and the step 203 may also be executed in parallel with the step 201.
In the embodiment of the present invention, the media data may carry the playing information thereof, and the playing information may be extracted from the media data, where the playing information includes a playing duration, a playing period, a playing frequency, and a playing object. And when the playing information is different, the corresponding release cost is different.
In the embodiment of the invention, the playing time interval is divided into: the playing object may be a television station playing media data, an off-line electronic screen (e.g., a cinema screen, a building screen), or the like.
In the embodiment of the invention, the playing information of the media data can be acquired, and then the playing information is used as the display parameter information of the push information.
As a second possible implementation manner of the embodiment of the present invention, when the target type corresponding to the media data is audio, referring to fig. 4, on the basis of the embodiment shown in fig. 2, step 102 may specifically include the following sub-steps:
Optionally, when the target type corresponding to the media data is audio, the media data may be recognized by using a voice recognition technology or a voiceprint recognition technology in the related art, so as to obtain text information corresponding to the media data.
Optionally, keyword extraction may be performed on the text information, so as to determine attribute information of the push information according to the keyword. And further, the object to which the push information belongs can be determined according to the attribute information. As a possible implementation manner, the corresponding relationship between different attribute information and the object may be pre-established, so that after the attribute information of the push information is determined, the corresponding relationship may be queried to obtain the object corresponding to the attribute information, which is used as the object to which the push information belongs.
For example, when the push information is an advertisement and the text information is "Yaojia, weikou is good, body bar is doubled, and lam is drafted", the brand of the push information can be determined as "blue sky six zhi", that is, the attribute information is "blue sky six zhi", and the object to which the push information belongs can be determined as "blue sky group".
Similar to the media data of the video type, the playback information can be extracted from the media data of the audio.
The process of step 303 may refer to the process of step 203 in the above embodiments, which is not described herein again.
As a third possible implementation manner of the embodiment of the present invention, when the target type corresponding to the media data is a publication, referring to fig. 5, on the basis of the embodiment shown in fig. 2, the step 102 may specifically include the following sub-steps:
When the target type corresponding to the media data is a publication, the delivery cost of the object to which the push information belongs is influenced by the fact that the push information is issued on different versions of the publication and/or occupies different layout areas. In order to obtain the release fee on the publication, in this embodiment, the layout information of the push information on the publication needs to be determined by means of image recognition. Specifically, the text information in the publication may be recognized by Optical Character Recognition (OCR) in the image Recognition technology, and further, the push information may also include information such as a logo and a trademark, in order to recognize such special information, the OCR technology may be customized in advance, and the special information may be recognized by the customized OCR technology.
As a possible implementation mode, training samples can be generated in advance according to a plurality of marked images, then the training samples are used for training the image recognition model, then the trained image recognition model can be used for carrying out image recognition on the medium data, and the attribute information of the push information is obtained. Further, when determining the attribute information of the pushed information, the image recognition technology in the prior art can be used to obtain the layout information of the pushed information on the publication.
And 402, determining an object to which the push information belongs according to the attribute information.
As a possible implementation manner, the corresponding relationship between different attribute information and the object may be pre-established, so that after the attribute information of the push information is determined, the corresponding relationship may be queried to obtain the object corresponding to the attribute information, which is used as the object to which the push information belongs.
And step 403, taking the layout information of the push information as the display parameter information of the push information.
It should be noted that, in the embodiment of the present invention, the step 403 is executed after the step 402, but the present invention is not limited thereto, and the step 403 may also be executed in parallel with the step 402.
In the embodiment of the invention, after the layout information of the push information is determined, the layout information can be used as the display parameter information of the push information.
As a fourth possible implementation manner of the embodiment of the present invention, when the target type corresponding to the media data is a street view picture, referring to fig. 6, on the basis of the embodiment shown in fig. 2, the step 102 may specifically include the following sub-steps:
Similarly, when the target type corresponding to the media data is a street view picture, the position and the occupied area of the push information in the street view picture are different, which affects the delivery cost of the object to which the push information belongs. In order to obtain the delivery cost on the street view picture, in this embodiment, the picture information of the push information on the street view picture needs to be determined in an image recognition manner.
As a possible implementation manner, training samples can be generated in advance according to a plurality of labeled images, then the training samples are used for training the image recognition model, then the trained image recognition model can be used for carrying out image recognition on the medium data, and the attribute information of the push information is obtained. Furthermore, when determining attribute information of the push information, the image recognition technology in the prior art can be used to push picture information and geographical location information of the information in the street view picture.
As a possible implementation manner, the corresponding relationship between different attribute information and the object may be pre-established, so that after the attribute information of the push information is determined, the corresponding relationship may be queried to obtain the object corresponding to the attribute information, which is used as the object to which the push information belongs.
It should be noted that, in the embodiment of the present invention, the step 503 is executed after the step 502, but the present invention is not limited thereto, and the step 503 may also be executed in parallel with the step 502.
In the embodiment of the invention, after the picture information and the geographical position information of the push information are determined, the picture information and the geographical position information of the push information can be used as the display parameter information of the push information.
Further, in order to facilitate the salespersons to mine potential objects, in the embodiment of the present invention, historical putting conditions of the objects to which the push information belongs may be tracked, and a putting trend of the objects to which the push information belongs is formed and displayed to the salespersons. The above process is explained in detail below with reference to fig. 7.
Fig. 7 is a flowchart illustrating a potential object mining method according to a sixth embodiment of the present invention.
As shown in fig. 7, based on the embodiment shown in fig. 1, after step 102, the potential object mining method may further include the following steps:
In the embodiment of the present invention, the preset duration is preset, for example, a quarter.
Optionally, historical media data carrying push information of the affiliated object in a preset duration may be collected, for example, the historical media data carrying push information of the affiliated object in three months may be collected.
It will be appreciated that the cost of delivery may be the same or different for different types of media data. Therefore, in order to facilitate the salesperson to obtain the delivery cost of the affiliated object under each type, in this embodiment, the delivery cost corresponding to each piece of historical media data may be obtained for each type.
And 603, generating and displaying the releasing trend of the affiliated object under the type by using the releasing cost corresponding to each piece of historical media data.
In the embodiment of the invention, after the release cost corresponding to each piece of historical media data is obtained, the release trend of the affiliated object under the type can be generated and displayed by using the release cost corresponding to each piece of historical media data. Therefore, the salesperson can visually know the putting trend of the object to which the push information belongs within the preset time, and the salesperson can conveniently mine the potential object.
In the potential object mining method of the embodiment, historical media data carrying push information of a subordinate object in a preset time length is acquired; aiming at each type, acquiring the release cost corresponding to each piece of historical media data; and generating and displaying the releasing trend of the affiliated object under the type by using the releasing cost corresponding to each piece of historical medium data. Therefore, the salesperson can intuitively know the putting trend of the object to which the pushed information belongs in the preset time length, and the salesperson can conveniently mine the potential object.
As a possible implementation manner of the embodiment of the present invention, it may also be determined whether an object to which the push information belongs is a customer covered by the push platform itself, and if so, historical media data of the push platform within a preset time period of the object to which the push information belongs is obtained, and then a release cost corresponding to each piece of historical media data is obtained, so that a release trend of the object to which the object belongs under the push platform is generated and displayed by using the release cost corresponding to each piece of historical media data, and thus, a salesperson can track historical release situations of the customer covered by the push platform itself, so as to better maintain the customer covered by the push platform itself.
As a possible implementation manner, referring to fig. 8, on the basis of the embodiment shown in fig. 1, step 104 may specifically include the following sub-steps:
Alternatively, the business information of the affiliated object may be acquired from the network platform.
As a possible implementation manner, a corresponding relationship between the enterprise information and the level corresponding to the object may be established in advance according to the enterprise information of different objects, where the level represents the development difficulty of the enterprise. For example, when the level is one level, the difficulty of representing enterprise development is: when the severity is in a second level, the difficulty of enterprise development is represented as follows: when the medium level is three, the difficulty of enterprise development is represented as follows: mild in nature. After the enterprise information is determined, the corresponding level of the object to which the push information belongs can be obtained by inquiring the corresponding relation.
And step 703, displaying the corresponding level of the affiliated object.
In the embodiment of the invention, after the corresponding grade of the affiliated object is determined, the corresponding grade can be displayed, so that customers needing to be developed can be distributed to salesmen according to the grade, and then the salesmen can purposefully excavate the object, and the success rate of object excavation is improved.
As a possible implementation manner, an enterprise screening model may be established in advance, specifically, the enterprise screening model may be trained by using a training sample, the training sample is generated according to enterprise information of a security object, and then an object to which push information belongs may be identified through the trained enterprise screening model to determine whether the object is a security object, if so, the enterprise is a security enterprise, at this time, step 705 may be triggered, otherwise, the enterprise may have illegal operations or be punished, and therefore, the object to which the push information belongs, the release cost, and the enterprise information may not be displayed, that is, no processing is performed.
In the embodiment of the invention, in order to enable the salesperson to better mine the object, the enterprise information of the affiliated object can be acquired, so that the object affiliated to the push information, the release cost and the enterprise information are synchronously displayed. Therefore, the salesperson can know the enterprise information of the affiliated object, and can purposefully excavate the object, and the success rate of object excavation is improved.
According to the potential object mining method, the enterprise information of the affiliated object is obtained, the grade corresponding to the object to which the push information belongs is determined according to the enterprise information, and the grade corresponding to the affiliated object is displayed, so that customers needing to be developed can be distributed to salesmen according to the grade, the salesmen can mine the object in a targeted manner, and the success rate of object mining is improved. Whether the object to which the pushing information belongs is a safe object is determined according to the enterprise information, and if yes, the object to which the pushing information belongs, the putting cost and the enterprise information are synchronously displayed, so that sales personnel can know the enterprise information of the object to which the sales personnel belongs, the object can be purposefully mined, and the success rate of object mining is improved.
In order to implement the above embodiment, the present invention further provides a potential object mining apparatus.
Fig. 9 is a schematic structural diagram of a potential object excavating device according to an embodiment of the present invention.
As shown in fig. 9, the potential object mining device 100 includes: an acquisition module 110, a calling module 120, a recognition module 130, an acquisition module 140, and a presentation module 150. Wherein,
the collecting module 110 is configured to collect media data carrying push information, and determine a target type corresponding to the media data.
And the calling module 120 is used for calling the identification strategy corresponding to the target type.
The identifying module 130 is configured to identify the media data by using an identification policy, and determine an object to which the push information belongs and display parameter information of the push information.
As a first possible implementation manner of the embodiment of the present invention, the identifying module 130 is specifically configured to extract a key frame from the media data when the target type corresponding to the media data is a video; identifying attribute information of the push information from the key frame, and determining an object to which the push information belongs according to the attribute information; acquiring the playing information of the media data as the display parameter information of the push information; the playing information includes a playing time length, a playing time period, a playing frequency and a playing object.
As a second possible implementation manner of the embodiment of the present invention, the recognition module 130 is specifically configured to, when the target type corresponding to the media data is audio, perform voice or voiceprint recognition on the media data to obtain text information corresponding to the media data; acquiring attribute information of the push information from the text information, and determining an object to which the push information belongs according to the attribute information; acquiring playing information of media data as display parameter information of push information; the playing information includes a playing time length, a playing time period, a playing frequency and a playing object.
As a third possible implementation manner of the embodiment of the present invention, the identifying module 130 is specifically configured to, when the target type corresponding to the media data is a publication, perform image identification on the media data, and acquire attribute information of the pushed information and layout information of the pushed information on the publication; the layout information comprises a layout where the push information is located and an occupied layout area; determining an object to which the push information belongs according to the attribute information; and taking the layout information of the push information as the display parameter information of the push information.
As a fourth possible implementation manner of the embodiment of the present invention, the identifying module 130 is specifically configured to, when the target type corresponding to the media data is a street view picture, perform image identification on the media data, and acquire attribute information of the pushed information, picture information of the pushed information in the street view picture, and geographic position information; the image information comprises the position and the occupied area of the push information in the image; determining an object to which the push information belongs according to the attribute information; and taking the picture information and the geographical position information of the push information as display parameter information of the push information.
The obtaining module 140 is configured to obtain the delivery cost of the pushed information according to the affiliated object and the display parameter information.
As a possible implementation manner, the obtaining module 140 is specifically configured to obtain a first delivery cost predicted by an object under different display parameter information; acquiring the weight of each display parameter information of the pushed information; and weighting according to the weight of each display parameter information and the first putting cost under the display parameter information to obtain second putting cost, and summing the second putting cost of each display parameter information to obtain the putting cost of the pushed information.
As another possible implementation manner, the obtaining module 140 is specifically configured to obtain a third placement cost of the object under different combinations of the display parameter information; searching for a combination matched with the display parameter information of the push information in the display parameter information combination; and taking the third putting cost of the matched combination as the putting cost of the push information.
And the display module 150 is configured to display the object to which the release cost and the push information belong.
As a possible implementation manner, the display module 150 is specifically configured to obtain enterprise information of an object to which the display module belongs; and synchronously displaying the object to which the push information belongs, the release cost and the enterprise information.
Optionally, the display module 150 is further configured to determine, according to the enterprise information, that the object to which the push information belongs is a secure object before synchronously displaying the object to which the push information belongs, the release cost, and the enterprise information.
Optionally, the display module 150 is further configured to determine, after acquiring the enterprise information of the affiliated object, a level corresponding to the object to which the push information belongs according to the enterprise information; and displaying the corresponding level of the affiliated object.
Further, in a possible implementation manner of the embodiment of the present invention, referring to fig. 10, on the basis of the embodiment shown in fig. 9, the potential object mining device 100 may further include: an acquisition generation module 160 and a judgment generation module 170.
The acquisition and generation module 160 is configured to, after determining the object to which the push information belongs, acquire historical media data carrying the push information of the object to which the push information belongs within a preset time period; aiming at each type, acquiring the release cost corresponding to each piece of historical media data; and generating and displaying the releasing trend of the affiliated object under the type by using the releasing cost corresponding to each piece of historical medium data.
The judgment generation module 170 is configured to, after determining the object to which the push information belongs, judge whether the object to which the push information belongs is a client covered by the push platform itself; if the object to which the push information belongs is a user covered by the object, acquiring historical media data of the push platform of the object to which the push information belongs within a preset time; acquiring the release cost corresponding to each piece of historical media data; and generating and displaying the releasing trend of the affiliated object under the pushing platform by using the releasing cost corresponding to each piece of historical media data.
It should be noted that the foregoing explanation on the embodiment of the potential object mining method is also applicable to the potential object mining apparatus 100 of this embodiment, and is not repeated here.
The potential object mining device of the embodiment acquires media data carrying push information, determines a target type corresponding to the media data, then calls an identification strategy corresponding to the target type, identifies the media data by using the identification strategy, determines an object to which the push information belongs and display parameter information of the push information, further can acquire the delivery cost of the push information according to the object to which the push information belongs and the display parameter information, and displays the delivery cost and the object to which the push information belongs. Therefore, the investment cost of the pushed information can be budgeted, so that sales personnel can visually know the investment cost of the affiliated object, the potential object can be excavated in a targeted manner according to the investment cost, and the success rate of excavation of the potential object is improved.
As an example, referring to fig. 11, fig. 11 is a schematic structural diagram of a potential object mining device in an embodiment of the present invention. The media data carrying the pushing information are collected through the collection module 1, the target type corresponding to the media data is determined, and then the recognition module 2 can recognize the media data by adopting different recognition strategies aiming at different types, wherein the recognition strategies comprise various recognition units such as image recognition, voice recognition, character recognition and the like. The identification module 2 can determine the object to which the push information belongs and the display parameter information of the push information, the acquisition module 3 comprises a price model, the release cost required by each advertiser under different display parameter information and types can be calculated through the price model, the release cost is stored in a price base, the price base can be inquired after the display parameter information in the push information is acquired, and then the release cost for pushing the push information on a platform of the user can be estimated by combining the self push requirement.
Then, the display module 4 can map the advertiser to which the push information belongs to a specific enterprise through a data mapping model, then acquire enterprise data of the enterprise (namely, acquire enterprise information of an affiliated object) through an enterprise credit data platform, and enrich data fed back to the salespersons by using the acquired enterprise data through core data supplementation. Before the display, quality evaluation (namely whether an object to which the push information belongs is determined to be a safe object) and budget evaluation are performed through a screening model, the object to which the push information belongs is guided to be graded (namely the level corresponding to the object to which the push information belongs is determined, so that customers needing to be developed can be distributed to salesmen according to the level), and finally, only when the display module 4 determines that the object to which the push information belongs is the safe object, the object to which the push information belongs, the release cost and the enterprise information are displayed synchronously, and the level corresponding to the object to which the push information belongs can be displayed, so that the subordinate sales leads are sold to one-line customer service, lead follow-up and object mining can be performed in a targeted manner, and the success rate of object mining is improved.
In order to implement the foregoing embodiment, the present invention further provides a computer device, including: a processor and a memory;
wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to implement the potential object mining method as proposed in the foregoing embodiment of the present invention.
In order to achieve the above embodiments, the present invention also proposes a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the potential object mining method as proposed by the foregoing embodiments of the present invention.
In order to implement the foregoing embodiments, the present invention further proposes a computer program product, which when being executed by an instruction processor, implements the potential object mining method as proposed by the foregoing embodiments of the present invention.
FIG. 12 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present application. The computer device 12 shown in fig. 12 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present application.
As shown in FIG. 12, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally perform the functions and/or methodologies of the embodiments described herein.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer system/server 12, and/or any device (e.g., network card, modem, etc.) that enables the computer system/server 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via Network adapter 20. As shown in FIG. 12, the network adapter 20 communicates with the other modules of the computer device 12 via the bus 18. It should be appreciated that although not shown in FIG. 12, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing, such as implementing the potential object mining methods mentioned in the foregoing embodiments, by executing programs stored in the system memory 28.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer-readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A potential object mining method, comprising:
collecting media data carrying push information, and determining a target type corresponding to the media data, wherein the push information is information carried in the media data and comprises advertisements;
calling an identification strategy corresponding to the target type, identifying the media data by using the identification strategy, and determining an object to which the push information belongs and display parameter information of the push information;
acquiring the putting cost of the push information according to the affiliated object and the display parameter information;
displaying the putting cost and an object to which the pushing information belongs;
the acquiring the delivery cost of the push information according to the affiliated object and the display parameter information comprises the following steps:
acquiring a first putting expense predicted by the object under different display parameter information;
acquiring the weight of each display parameter information of the push information;
weighting the first putting cost under the display parameter information according to the weight of each display parameter information to obtain second putting cost, and summing the second putting cost of each display parameter information to obtain the putting cost of the pushed information;
the identifying the media data by using the identification strategy to determine the object to which the push information belongs and the display parameter information of the push information comprises the following steps:
when the target type corresponding to the media data is a video, extracting key frames from the media data;
identifying attribute information of the push information from the key frame, and determining an object to which the push information belongs according to the attribute information;
acquiring playing information of the media data as display parameter information of the pushed information; the playing information comprises playing duration, playing time interval, playing times and playing objects;
the identifying the media data by using the identification strategy to determine the object to which the push information belongs and the display parameter information of the push information comprises the following steps:
when the target type corresponding to the media data is audio, performing voice or voiceprint recognition on the media data to obtain text information corresponding to the media data;
acquiring attribute information of the push information from the text information, and determining an object to which the push information belongs according to the attribute information;
acquiring playing information of the media data as display parameter information of the pushed information; the playing information comprises playing duration, playing time interval, playing times and playing objects;
the identifying the media data by using the identification strategy to determine the object to which the push information belongs and the display parameter information of the push information comprises the following steps:
when the target type corresponding to the media data is a publication, performing image recognition on the media data to acquire attribute information of the pushed information and layout information of the pushed information on the publication; the layout information comprises a layout where the push information is located and an occupied layout area;
determining an object to which the push information belongs according to the attribute information;
using the layout information of the pushed information as display parameter information of the pushed information;
the identifying the media data by using the identification strategy to determine the object to which the push information belongs and the display parameter information of the push information comprises the following steps:
when the target type corresponding to the media data is street view pictures, performing image recognition on the media data to acquire attribute information of the push information, picture information of the push information in the street view pictures and geographical position information; the picture information comprises the position and the occupied area of the push information in a picture;
determining an object to which the push information belongs according to the attribute information;
and taking the picture information and the geographical position information of the push information as display parameter information of the push information.
2. The method for mining potential objects according to claim 1, wherein after determining the object to which the pushed information belongs, the method further comprises:
acquiring historical media data carrying the push information of the affiliated object within a preset time length;
aiming at each type, acquiring the delivery cost corresponding to each piece of historical media data;
and generating and displaying the releasing trend of the affiliated object under the type by using the releasing cost corresponding to each piece of historical media data.
3. The method according to claim 2, wherein after determining the object to which the pushed information belongs, the method further comprises:
judging whether the object to which the push information belongs is a client covered by the push platform;
if the object to which the push information belongs is a user covered by the object, acquiring historical media data of the push platform within a preset time length of the object to which the push information belongs;
acquiring the release cost corresponding to each piece of historical media data;
and generating and displaying the releasing trend of the affiliated object under the pushing platform by using the releasing cost corresponding to each piece of historical media data.
4. The method for mining the potential objects according to claim 1, wherein the obtaining of the release cost of the pushed information according to the affiliated objects and the display parameter information comprises:
acquiring a third release cost of the object under different display parameter information combinations;
searching for a combination matched with the display parameter information of the push information in the display parameter information combination;
and taking the third putting cost of the matched combination as the putting cost of the pushed information.
5. The method for mining potential objects according to claim 1, wherein the displaying the placement cost and the object to which the pushed information belongs comprises:
acquiring enterprise information of a subordinate object;
and synchronously displaying the object to which the push information belongs, the putting cost and the enterprise information.
6. The method for mining potential objects according to claim 5, wherein before synchronously displaying the objects to which the pushed information belongs, the release cost and the enterprise information, the method further comprises:
and determining the object to which the push information belongs as a safe object according to the enterprise information.
7. The method of potential object mining according to claim 5, wherein after obtaining the business information of the affiliated object, the method further comprises:
determining the level corresponding to the object to which the push information belongs according to the enterprise information;
and displaying the corresponding level of the affiliated object.
8. A potential object mining device, comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring media data carrying push information and determining a target type corresponding to the media data, the push information is information carried in the media data, and the push information comprises advertisements;
the calling module is used for calling the identification strategy corresponding to the target type;
the identification module is used for identifying the medium data by using the identification strategy and determining an object to which the push information belongs and display parameter information of the push information;
the acquisition module is used for acquiring the release cost of the push information according to the affiliated object and the display parameter information;
the display module is used for displaying the putting cost and the object to which the push information belongs;
the acquisition module is specifically used for acquiring a first putting expense predicted by the object under different display parameter information;
acquiring the weight of each display parameter information of the push information;
weighting the first putting cost under the display parameter information according to the weight of each display parameter information to obtain second putting cost, and summing the second putting cost of each display parameter information to obtain the putting cost of the push information;
the identifying the media data by using the identification strategy to determine the object to which the push information belongs and the display parameter information of the push information comprises the following steps:
when the target type corresponding to the media data is a video, extracting key frames from the media data;
identifying attribute information of the push information from the key frame, and determining an object to which the push information belongs according to the attribute information;
acquiring playing information of the media data as display parameter information of the pushed information; the playing information comprises playing duration, playing time interval, playing times and playing objects;
the identifying the media data by using the identification strategy to determine the object to which the push information belongs and the display parameter information of the push information comprises the following steps:
when the target type corresponding to the media data is audio, performing voice or voiceprint recognition on the media data to obtain text information corresponding to the media data;
acquiring attribute information of the push information from the text information, and determining an object to which the push information belongs according to the attribute information;
acquiring playing information of the media data as display parameter information of the pushed information; the playing information comprises playing duration, playing time interval, playing times and playing objects;
the identifying the media data by using the identification strategy to determine the object to which the push information belongs and the display parameter information of the push information comprises the following steps:
when the target type corresponding to the media data is a publication, performing image recognition on the media data to acquire attribute information of the pushed information and layout information of the pushed information on the publication; the layout information comprises a layout where the push information is located and an occupied layout area;
determining an object to which the push information belongs according to the attribute information;
using the layout information of the pushed information as display parameter information of the pushed information;
the identifying the media data by using the identification strategy to determine the object to which the push information belongs and the display parameter information of the push information comprises the following steps:
when the target type corresponding to the media data is street view pictures, performing image recognition on the media data to acquire attribute information of the push information, picture information of the push information in the street view pictures and geographical position information; the picture information comprises the position and the occupied area of the push information in a picture;
determining an object to which the push information belongs according to the attribute information;
and taking the picture information and the geographical position information of the push information as display parameter information of the push information.
9. An electronic device comprising a processor and a memory;
wherein the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for implementing the potential object mining method according to any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor implements the potential object mining method of any one of claims 1-7.
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| CN111046274B (en) * | 2019-11-08 | 2023-07-25 | 微梦创科网络科技（中国）有限公司 | A method and device for pushing information based on real-time blog posts |
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| CN106339897A (en) * | 2016-08-18 | 2017-01-18 | 腾讯科技（深圳）有限公司 | Putting strategy determination method and device |
| CN107544734A (en) * | 2017-08-30 | 2018-01-05 | 咪咕数字传媒有限公司 | A kind of information displaying method, device and storage medium |
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| WO2010129630A1 (en) * | 2009-05-08 | 2010-11-11 | Dolby Laboratories Licensing Corporation | Storing and searching fingerprints derived from media content based on a classification of the media content |
| CN106339897A (en) * | 2016-08-18 | 2017-01-18 | 腾讯科技（深圳）有限公司 | Putting strategy determination method and device |
| CN107544734A (en) * | 2017-08-30 | 2018-01-05 | 咪咕数字传媒有限公司 | A kind of information displaying method, device and storage medium |
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