CN110557661A - Method, device, equipment and medium for determining delivery grade - Google Patents
Method, device, equipment and medium for determining delivery grade Download PDFInfo
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- CN110557661A CN110557661A CN201910865052.8A CN201910865052A CN110557661A CN 110557661 A CN110557661 A CN 110557661A CN 201910865052 A CN201910865052 A CN 201910865052A CN 110557661 A CN110557661 A CN 110557661A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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Abstract
The embodiment of the disclosure discloses a method, a device, equipment and a medium for determining a release grade. The method comprises the following steps: acquiring an identifier of a target dispenser and an index identifier of a target dimension through an index configuration interface; determining target index algorithm information according to the index identification of the target dimension; and performing historical behavior data processing on the medium information thrown by the target thrower by adopting the target index algorithm information to obtain the throwing grade of the target thrower. By adopting the scheme, the index identification with proper dimensionality set by the user according to the actual requirement can be obtained as the index identification with the target dimensionality, the decoupling of the index identification and the releasing grade of the releasing person is realized, and different users can obtain different rating results when rating the same releasing person; meanwhile, the index identifications with different dimensions are matched with different index algorithm information, so that the mutual independence of the index identifications with different dimensions is ensured, and the grading flexibility and the subjective selectivity of a user are ensured.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of internet, in particular to a method, a device, equipment and a medium for determining a release grade.
Background
with the continuous development of internet technology, a publisher can deliver media information on various types of mainstream media through the internet, for example, an advertiser can deliver advertisements on the mainstream media.
However, there are many unsatisfactory places for the publisher to deliver the media information. On one hand, the quality of the media information released by the releaser is poor; on the other hand, a plurality of illegal release tendencies exist when the release person releases the media information, if the release person does not effectively restrict the media information and only screens the media information, the release person can continue to release the illegal media information, and further the media information needs to be checked, so that the checking resources are wasted. Therefore, it is important to effectively restrict the dispenser.
Disclosure of Invention
The embodiment of the disclosure provides a method, a device, equipment and a medium for determining a releasing grade, so as to determine the grade of a medium information releaser and effectively restrict the releaser.
in a first aspect, an embodiment of the present disclosure provides a method for determining an impression level, including:
acquiring an identifier of a target dispenser and an index identifier of a target dimension through an index configuration interface;
Determining target index algorithm information according to the index identification of the target dimension;
And performing historical behavior data processing on the medium information thrown by the target thrower by adopting the target index algorithm information to obtain the throwing grade of the target thrower.
In a second aspect, an embodiment of the present disclosure further provides an apparatus for determining a release level, including:
The index identification acquisition module is used for acquiring the identification of the target releaser and the index identification of the target dimension through the index configuration interface;
the index algorithm determining module is used for determining target index algorithm information according to the index identification of the target dimension;
And the behavior data processing module is used for performing historical behavior data processing on the medium information released by the target releasing person by adopting the target index algorithm information so as to obtain the releasing grade of the target releasing person.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, including:
one or more processing devices;
storage means for storing one or more programs;
When executed by the one or more processing devices, cause the one or more processing devices to implement a method of determining a level of impression as provided in any embodiment of the present disclosure.
In a fourth aspect, a computer-readable medium is also provided in an embodiment of the present disclosure, where the computer-readable medium stores a computer program, and the computer program, when executed by a processing device, implements the method for determining an impression level as provided in any embodiment of the present disclosure.
the embodiment of the disclosure provides a determination scheme of a launching grade, which can obtain an identifier of a target launcher autonomously selected by a user through an index configuration interface to determine which launcher needs to be subjected to grade determination; receiving an index of a target dimension which is autonomously set by a user with authority; and after the index identification of the target dimension is determined, target index algorithm information matched with the index identification of the target dimension can be determined, so that the historical behavior data of the medium information thrown by the target thrower can be subjected to data processing by adopting the target index algorithm information, and then the grade of the target thrower throwing the medium information is determined according to the processing result. By adopting the scheme of the embodiment, the index identification with the appropriate dimensionality set by the user according to the actual requirement can be obtained as the index identification of the target dimensionality, the decoupling of the index identification and the releasing grade of the releasing person is realized, and different users can obtain different rating results when rating the same releasing person; meanwhile, the index identifications with different dimensions are matched with different index algorithm information, so that the mutual independence of the index identifications with different dimensions is ensured, and the grading flexibility and the subjective selectivity of a user are ensured.
The foregoing disclosure is only an overview of the technical solutions of the present disclosure, and the embodiments of the present disclosure are described below in order to make the technical means of the present disclosure more clearly understood and to make the above and other objects, features, and advantages of the present disclosure more clearly understandable.
Drawings
Other features, objects, and advantages of the disclosure will become apparent from a reading of the following detailed description of non-limiting embodiments which proceeds with reference to the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale. In the drawings:
Fig. 1 illustrates a flow chart of a method for determining a delivery rating provided in an embodiment of the present disclosure;
fig. 2 shows a flow chart of another method for determining an impression level provided in an embodiment of the present disclosure;
Fig. 3 is a block diagram illustrating a determination apparatus for a release level provided in an embodiment of the present disclosure;
fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
it should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
the names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Fig. 1 is a flowchart illustrating a method for determining a delivery rating provided in an embodiment of the present disclosure, which is applicable to a case where a publisher delivering media information is rated, so as to effectively constrain the publisher according to a result of the rating of the publisher. The method may be performed by a device for determining a delivery class, which may be implemented in software and/or hardware, and may be configured in an electronic device with a network communication function. As shown in fig. 1, the method for determining an impression level provided in the embodiment of the present disclosure specifically includes the following steps:
S110, acquiring the identifier of the target releaser and the index identifier of the target dimension through an index configuration interface.
In this embodiment, different index identifiers correspond to different index factors, and the index factors may be understood as a certain dimension evaluation rule adopted when rating is performed on a publisher who delivers media information. For example, in determining the delivery credit rating of a publisher delivering media information, the index factor may refer to similar rating rule information such as "whether the delivery media information is rejected", "whether the delivery media information is reported", and "whether the delivery media information is approved". For convenience of description, the present embodiment will refer to the electronic device for determination of the placement level as a "placement level determination platform".
in this embodiment, the target publisher refers to a publisher needing to perform rank determination among a plurality of publishers who publish the medium information, and specifically, the identity of the publisher may be identified by an identifier of the target publisher. Alternatively, the targeted user may autonomously select the targeted player from a plurality of players who deliver the media information. The target user is a user who has index identification configuration authority and needs to use the release level determination platform to perform level determination on a release person releasing the medium information. The target publisher identification is meant to include the identity of the target publisher. The index identification of the target dimension refers to the ranking rule information of one or more dimensions adopted when the target placer needs to be ranked.
in this embodiment, in an actual scenario, different users have different requirements, for example, some users may consider that the index identifiers of some dimensions do not meet their own actual requirements, without considering the influence of the index identifiers of these dimensions on the rank of the publisher. Therefore, the user with the index identifier configuration authority can autonomously select the index identifiers of one or more dimensions meeting the self requirement, and the index identifiers serve as evaluation rules to evaluate the grades of the publishers who deliver the medium information.
In this embodiment, the delivery level determination platform may provide an interface for configuring the indicator identifier to the target user. The target user can independently set a proper index mark to indicate that the release level determination platform needs to adopt the index marks of the dimensions to perform level determination on the release persons releasing the medium information. After the index identifier is set, the target user can send the set index identifier of the target dimension to the release level determination platform through the index configuration interface. The release level determination platform can acquire the index identification of the target dimension set by the target user through the index configuration interface. In addition, the target user can send the set target placer identifier to the placement level determination platform through the index configuration interface so as to inform the placement level determination platform of which placer needs to be graded specifically.
By adopting the mode, the index identification with the appropriate dimensionality set by the user according to the actual requirement can be obtained and used as the index identification of the target dimensionality, the decoupling of the index identification and the releasing grade of the releasing person is realized, and different users can obtain different rating results when rating the same releasing person.
In this embodiment, optionally, the target user may generate an index configuration request according to the identity of the target publisher and the set index identifier of the target dimension, and send the index configuration request to the release level determination platform through the index configuration interface. The placement level determination platform may receive an index configuration request and extract therefrom an identification of a target placer and an index identification of a target dimension.
And S120, determining target index algorithm information according to the index identification of the target dimension.
In this embodiment, the index identifiers of different dimensions have different index algorithm information, and after the index identifier of the target dimension is obtained, the target index algorithm information matched with the index identifier of the target dimension needs to be determined, so that the target dispenser is graded under the index identifier of the target dimension. By adopting the mode, the decoupling of the fixed relation between the index identification of each dimension and the release grade can be realized, and the mutual independence between the index identifications of each dimension is ensured, so that different users can obtain different rating results when rating the same release. Optionally, the information of the index algorithm at least includes the content of the index algorithm and the weight of the index algorithm, and of course, other information related to the index algorithm may also be included, which is not limited herein. In an alternative example, the content of the indexing algorithm refers to script code for implementing the indexing algorithm or a script code executable file for implementing the indexing algorithm.
in an optional manner of this embodiment, determining target index algorithm information according to an index identifier of a target dimension specifically includes the following steps a1 to a 2:
Step A1, if the index mark of the target dimension belongs to the candidate index mark set, taking the candidate index algorithm content associated with the index mark of the target dimension as the target index algorithm content.
In this embodiment, the delivery level determination platform deploys a mapping relationship between the candidate indicator identifiers and the candidate indicator algorithm contents in advance, and each candidate indicator identifier matches with the corresponding candidate indicator algorithm contents in the mapping relationship deployed in advance. However, the index identifiers of all dimensions do not have index algorithm contents matched with the index identifiers, and if the index identifier of the target dimension set by the target user is not a preset candidate index identifier, that is, does not belong to a candidate index identifier set, the corresponding index identifier algorithm contents cannot be queried in a pre-deployed mapping relationship, and then the index identifier algorithm cannot be used for processing historical behavior data of the media information released by the target releaser. For this purpose, it needs to be determined that the index identifier of the target dimension belongs to the candidate index identifier set. And if the index identifier belongs to the target dimension, inquiring the candidate index identifier to which the index identifier of the target dimension belongs from the pre-deployed mapping relation, and using the candidate index algorithm content associated with the candidate index identifier as the target index algorithm content associated with the index identifier of the target dimension.
In this embodiment, the target index algorithm content provided in this embodiment is one or several pieces of program code for processing the historical behavior data under the index identification of the target dimension. For example, taking the determination of the delivery credit rating of the target dispenser as an example, the index identifier of the target dimension is an evaluation rule adopted when the delivery credit rating of the dispenser is evaluated, for example, the index identifier of the "overdue" dimension, and through the content of the target index algorithm, historical behavior data related to "information about media delivered by the target dispenser" may be processed, and historical behavior data of overdue behavior of the target dispenser is determined, so that the delivery rating of the target dispenser is continuously determined according to the read historical behavior data of overdue behavior.
And step A2, taking the index weight associated with the index identifier of the target dimension as the weight of the target index algorithm.
In this embodiment, the index identifiers at different latitudes have different importance, so that when the delivery level of the target deliverer is determined under the index identifiers at multiple dimensions, not only the content of the target index algorithm associated with the index identifier at the target dimension but also the weight of the index identifier at the target dimension need to be considered, so that the delivery level of the target deliverer can be reasonably analyzed according to the importance of the index identifiers at different dimensions.
In this embodiment, optionally, when the target user autonomously sets the index identifier of the target dimension that needs to be paid attention, the target user may set the index weight meeting the actual requirement of the target user for each dimension included in the index identifier of the target dimension, and then may use the index weight set for the index identifier of the target dimension as the weight of the target index algorithm. Alternatively, the delivery level determination platform may preset a candidate index weight for each candidate index identifier in the candidate index identifier set, and directly use the candidate index weight associated with the index identifier of the target dimension as the weight of the target index algorithm after determining the index identifier of the target dimension and determining that the index identifier of the target dimension belongs to the candidate index identifier set.
The method has the advantages that the matched weight proportion of each target index algorithm content is ensured, the releasing score of each target releaser under the index identifications of different dimensions can be analyzed specifically according to the weight proportion of the target index algorithm, the releasing grade of the target releaser can be determined according to each releasing score, and the releasing grade determined in the way can be ensured to meet the actual requirement.
In an optional manner of this embodiment, determining target index algorithm information according to an index identifier of a target dimension specifically includes the following steps B1 to B2:
and step B1, if the index identifier of the target dimension does not belong to the candidate index identifier set, generating an index algorithm generation instruction carrying the index identifier of the target dimension, and sending the index algorithm generation instruction to an index generator.
In this embodiment, the target dimension index identifier set by the target user and acquired through the index configuration interface may be a rule self-compiled by the target user, and at this time, the candidate index identifier matching the target dimension index identifier may not be obtained by querying in the candidate index identifier set by the release level determination platform. At this time, the release level platform may generate an index algorithm generation instruction carrying the index identifier of the target dimension, and send the index algorithm generation instruction to the index generator.
and step B2, the received index generator generates the target index algorithm content in response to the received index algorithm generation instruction and determines the weight of the target index algorithm.
In this embodiment, the index generator may create the index identifier of the target dimension according to the index algorithm generation instruction, generate the matched target index algorithm content for the index identifier of the target dimension, and send the generated index identifier of the target dimension and the matched target index algorithm content to the delivery level determination platform. The release level determination platform can receive the index identification of the target dimension created by the index generator according to the index algorithm generation instruction and the generated target index algorithm content.
in this embodiment, the index generator may create an index weight matching the index identifier of the target dimension when creating the index identifier of the target dimension; or after receiving the index identifier of the target dimension created by the index generator, the release level determination platform creates an index weight matched with the index identifier of the target dimension; or, the target user may set an index weight meeting the actual requirement of the target user for each dimension included in the index identifier of the target dimension when the index identifier of the target dimension that needs to be paid attention is set autonomously. Further, the index weight matching the index identification of the target dimension may be used as the weight of the target index algorithm.
by adopting the mode, the personalized index identifier of a certain dimension and the index algorithm content can be created for the target user according to the requirement of the target user, and the delivery grade of the target delivery person can be further determined under the index identifier of the certain dimension created by the user.
And S130, performing historical behavior data processing on the medium information thrown by the target thrower by adopting target index algorithm information to obtain the throwing grade of the target thrower.
in this embodiment, after determining the target index algorithm content of the index identifier of the target dimension, the target index algorithm information may be used to read historical behavior data related to the media information released by the target releaser, read behavior data related to the index identifier of the target dimension, and evaluate the release level of the target releaser according to the read result. For example, taking the determination of the delivery credit rating of the target dispenser as an example, the index identifier of the target dimension includes an index identifier of an "overdue" dimension, at this time, historical behavior data processing may be performed on the media information delivered by the target dispenser by using target index algorithm information, historical behavior data related to the index identifier of the "overdue" dimension may be read, and the delivery credit rating of the target dispenser may be evaluated according to the historical behavior data related to the index identifier of the "overdue" dimension.
In this embodiment, the target dimension index identifier may include a plurality of dimension index identifiers, at this time, the different dimension index identifiers have different index algorithm contents, and the different index algorithm contents may be used to perform historical behavior data processing on the media information launched by the target launcher under the different dimension index identifiers, so as to read historical behavior data corresponding to the different index identifiers, and further, the read historical behavior data corresponding to the different index identifiers may be aggregated, so as to determine the launch level of the target launcher according to the aggregated historical behavior data.
In this embodiment, optionally, after determining the target index algorithm content and the weight of the target index algorithm in the target index algorithm information, historical behavior data processing may be performed on the media information released by the target releaser by operating the target index algorithm content according to the weight of the target index algorithm, so as to obtain historical behavior data related to the index identifier of the target dimension. And further, performing aggregation processing on historical behavior data under different dimensionality index identifications, which are obtained by adopting different target index algorithm contents, so as to determine the delivery grade of the target deliverer. And the target index algorithm content is only used for processing the historical behavior data matched with the index identification of the target dimension.
The embodiment of the disclosure provides a determination scheme of a launching grade, which can receive an index of a target dimension which is autonomously set by a user with authority through an index configuration interface, and acquire a target launcher autonomously selected by the user; after the index identification of the target dimension is determined, target index algorithm information matched with the index identification of the target dimension can be determined, then data processing can be performed on historical behavior data of media information launched by a target launcher by adopting the target index algorithm information, and then the grade of the target launcher launching the media information is determined according to a processing result. By adopting the scheme of the embodiment, the index identification with the appropriate dimensionality set by the user according to the actual requirement can be obtained as the index identification of the target dimensionality, the decoupling of the index identification and the releasing grade of the releasing person is realized, and different users can obtain different rating results when rating the same releasing person; meanwhile, the index identifications with different dimensions are matched with different index algorithm information, so that the mutual independence of the index identifications with different dimensions is ensured, and the grading flexibility and the subjective selectivity of a user are ensured.
fig. 2 is a flowchart illustrating another method for determining an impression level provided in the embodiment of the present disclosure, which is further optimized based on the above embodiment, and the embodiment of the present disclosure may be combined with various alternatives in one or more of the embodiments. As shown in fig. 2, the method for determining an impression level provided in the embodiment of the present disclosure specifically includes the following steps:
S210, acquiring the identifier of the target releaser and the index identifier of the target dimension through an index configuration interface.
And S220, determining target index algorithm information according to the index identification of the target dimension.
S230, determining a data acquisition interface related to the media information launched by the target launcher; wherein the data acquisition interface is associated with at least one service manager; the database of the business management party records historical behavior data aiming at the media information released by the target releasing person.
In this embodiment, the determination platform of the delivery level generally does not record historical behavior data related to the information of the media delivered by the target deliverer. For example, for an advertisement delivered by a target publisher, the platform for determining the delivery level generally does not record the historical behavior data of the advertisement that is rejected or approved by the target publisher, but records the historical behavior data of the advertisement that is approved or rejected by the target publisher by a corresponding service manager, and stores the recorded historical behavior data in a corresponding database.
in this embodiment, in order to facilitate the release level determination platform to obtain corresponding historical behavior data related to the media information released by the target releaser, a data obtaining interface related to the media information released by the target releaser may be preset on the release level determination platform. Each data acquisition interface can be associated with at least one service management party, and a database of the service management party records historical behavior data related to the medium information released by the target releasing person.
S240, acquiring historical behavior data associated with the media information launched by the target launcher from a database of a business management party through a data acquisition interface.
In this embodiment, the launch level platform establishes communication connections with a plurality of service managers according to the data acquisition interfaces, and acquires historical behavior data associated with the media information launched by the target launcher from the database of the service managers.
And S250, performing historical behavior data processing on the medium information launched by the target launcher by adopting target index algorithm information to obtain the launching grade of the target launcher.
in this embodiment, the target index algorithm content in the target index algorithm information may be adopted to perform reading processing on a large amount of historical behavior data related to the media information released by the target releaser, and the historical behavior data matched with the index identifier of the target dimension is read from the historical behavior data. If the target dimension index identification comprises a plurality of dimensions index identifications, historical behavior data under different dimensions index identifications matched with different dimensions index identifications can be obtained by adopting different index algorithm contents, and then the releasing grade of a target releaser can be determined by aggregating the historical behavior data under different dimensions index identifications.
Illustratively, taking the determination of the delivery credit rating of the target deliverer as an example, the index identifier of the target dimension includes an "overdue" dimension index identifier, and if N pieces of historical behavior data matched with the index identifier of the "overdue" dimension are read, a certain score is subtracted from the "overdue" dimension index identifier for the target deliverer. Of course, there are also index identifications similar to the bonus, and if the historical behavior data matched with the index identifications similar to the bonus are read, the corresponding scores are increased. And finally, aggregating the scores obtained under the index identifications of different dimensions to determine the delivery grade of the target delivery person.
s260, responding to the releasing grade reading request of the target user, and pushing the determined releasing grade of the target releasing person to the target user; the release level reading request comprises an identity of a target user and an identity of a target release person.
In this embodiment, after determining that the placement level of the target placer is completed, the placement level determining platform may store information related to the placement level of the target placer in a local memory of the placement level determining platform. The target user can send a releasing grade reading request to the releasing grade determining platform, the releasing grade determining platform receives and responds to the releasing grade reading request, the releasing grade of the target releasing person is pushed to the target user, and the target user can display the releasing grade on the terminal equipment of the target user.
In this embodiment, the release level reading request includes an identity of the target user, and the release level determining platform needs to perform identity verification on the target user according to the identity of the target user in the release level reading request. If the verification is passed, the release level determination platform inquires the determined release level of the target release person in a local memory according to the identity of the target release person, and pushes the inquired related information of the release level of the target release person to a target user; otherwise, no push is performed.
The embodiment of the disclosure provides a determination scheme of a release level, and by adopting the scheme of the embodiment, an index identifier with a proper dimension set by a user according to an actual requirement can be obtained and used as an index identifier of a target dimension, so that decoupling of the index identifier and the release level of a release person is realized, and different users can obtain different rating results when rating the same release person; meanwhile, the index identifications with different dimensions are matched with different index algorithm information, so that the mutual independence of the index identifications with different dimensions is ensured, and the grading flexibility and the subjective selectivity of a user are ensured.
Fig. 3 is a block diagram illustrating a configuration of a determination apparatus for a delivery rating provided in an embodiment of the present disclosure, which is applicable to a case where a publisher delivering media information is rated, so as to effectively restrict the publisher by a rating result of the publisher. The apparatus can be implemented in software and/or hardware, and the apparatus can be configured in an electronic device with a network communication function. As shown in fig. 3, the device for determining a dosing level provided in the embodiment of the present disclosure includes: an index identification acquisition module 310, an index algorithm determination module 320, and a behavior data processing module 330. Wherein:
An index identifier obtaining module 310, configured to obtain, through an index configuration interface, an identifier of a target publisher and an index identifier of a target dimension;
an index algorithm determining module 320, configured to determine target index algorithm information according to the index identifier of the target dimension;
And the behavior data processing module 330 is configured to perform historical behavior data processing on the media information released by the target releasing person by using the target index algorithm information to obtain a releasing grade of the target releasing person.
on the basis of the foregoing embodiment, optionally, the index algorithm information at least includes index algorithm content and a weight of an index algorithm, where the index algorithm content includes a script code for implementing an index algorithm.
On the basis of the foregoing embodiment, optionally, the index algorithm determining module 320 includes:
The algorithm content determining unit is used for taking the candidate index algorithm content associated with the target index identification as the target index algorithm content if the index identification of the target dimension belongs to the candidate index identification set;
And the algorithm weight determining unit is used for taking the index weight associated with the index identification of the target dimension as the weight of the target index algorithm.
On the basis of the foregoing embodiment, optionally, the index algorithm determining module 320 includes:
and the algorithm indication generating unit is used for generating an index algorithm generating instruction carrying the index identification of the target dimension if the index identification of the target dimension does not belong to the candidate index identification set, so that an index generator responds to the index algorithm generating instruction to generate target index algorithm content, and determines the weight of the target index algorithm.
On the basis of the foregoing embodiment, optionally, the apparatus further includes:
a data obtaining interface determining module 340, configured to determine a data obtaining interface associated with the indicator identifier of the target dimension; wherein the data acquisition interface is associated with at least one service manager; the database of the business management party records historical behavior data aiming at the media information released by the target releasing person;
A historical behavior data obtaining module 350, configured to obtain, through the data obtaining interface, historical behavior data associated with the media information released by the target releasing person from a database of a business manager.
on the basis of the foregoing embodiment, optionally, the behavior data processing module 330 includes:
according to the weight of the target index algorithm, performing historical behavior data processing on the media information released by the target releasing person by operating the content of the target index algorithm: wherein, the release level reading request includes the identity of the target user and the identity of the target release.
on the basis of the foregoing embodiment, optionally, the apparatus further includes:
The release level pushing module 360 is configured to respond to a release level reading request of a target user, and push the determined release level of the target release to the target user; wherein, the release level reading request includes the identity of the target user and the identity of the target release.
the determination device for the delivery level provided in the embodiment of the present disclosure may perform the determination method for the delivery level provided in any embodiment of the present disclosure, and have corresponding functions and advantages of the determination method for the delivery level.
Fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure. Referring now specifically to fig. 4, a schematic diagram of an electronic device 400 suitable for use in implementing embodiments of the present disclosure is shown. The electronic device 400 in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), and the like, and fixed terminals such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, the electronic device 400 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 406 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 406 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
in particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 409, or from the storage means 406, or from the ROM 402. The computer program, when executed by the processing device 401, performs the above-described functions defined in the determination method of the impression level of the embodiment of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
the computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring an identifier of a target dispenser and an index identifier of a target dimension through an index configuration interface; determining target index algorithm information according to the index identification of the target dimension; and performing historical behavior data processing on the medium information thrown by the target thrower by adopting the target index algorithm information to obtain the throwing grade of the target thrower.
computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. The name of the unit does not form a limitation on the unit itself in some cases, for example, the index identifier obtaining module may also be described as a "module for obtaining the identifier of the target publisher and the index identifier of the target dimension through the index configuration interface".
the functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
in the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Example 1 provides, in accordance with one or more embodiments of the present disclosure, a method of determining a level of impression, comprising:
acquiring an identifier of a target dispenser and an index identifier of a target dimension through an index configuration interface;
Determining target index algorithm information according to the index identification of the target dimension;
And performing historical behavior data processing on the medium information thrown by the target thrower by adopting the target index algorithm information to obtain the throwing grade of the target thrower.
example 2 provides a method of determining a delivery rating, the indexing algorithm information including at least indexing algorithm content and weights for the indexing algorithm, the indexing algorithm content including script code for implementing the indexing algorithm, according to one or more embodiments of the present disclosure.
example 3 provides a method for determining a delivery rank according to an indicator of the target dimension, including:
If the index identification of the target dimension belongs to the candidate index identification set, taking the candidate index algorithm content associated with the index identification of the target dimension as the target index algorithm content;
And taking the index weight associated with the index identification of the target dimension as the weight of the target index algorithm.
Example 4 provides a method for determining a delivery rating, where determining target index algorithm information according to the index identifier of the target dimension includes:
and if the index identifier of the target dimension does not belong to the candidate index identifier set, generating an index algorithm generation instruction carrying the index identifier of the target dimension, so that an index generator responds to the index algorithm generation instruction to generate target index algorithm content, and determining the weight of the target index algorithm.
Example 5 provides a method for determining a delivery rank, before performing historical behavior data processing on information about media delivered by a target deliverer, the method further comprising:
determining a data acquisition interface associated with the media information launched by the target launcher; wherein the data acquisition interface is associated with at least one service manager; the database of the business management party records historical behavior data aiming at the media information released by the target releasing person;
And acquiring historical behavior data associated with the media information released by the target releasing person from a database of a business management party through a data acquisition interface.
example 6 provides a method for determining a delivery level, where the target index algorithm information is used to perform historical behavior data processing on media information delivered by a target deliverer, where the method includes:
according to the weight of the target index algorithm, performing historical behavior data processing on the media information released by the target releasing person by operating the content of the target index algorithm: wherein the target metric algorithm content is only used to process historical behavior data matching the metric identification of the target dimension.
example 7 provides a method for determining a delivery rating, after obtaining a delivery rating for a target deliverer, in accordance with one or more embodiments of the present disclosure, further comprising:
Responding to a release level reading request of a target user, and pushing the determined release level of the target release to the target user; wherein, the release level reading request includes the identity of the target user and the identity of the target release.
Example 8 provides, in accordance with one or more embodiments of the present disclosure, an apparatus for determining a placement level, comprising:
the index identification acquisition module is used for acquiring the identification of the target releaser and the index identification of the target dimension through the index configuration interface;
the index algorithm determining module is used for determining target index algorithm information according to the index identification of the target dimension;
and the behavior data processing module is used for performing historical behavior data processing on the medium information released by the target releasing person by adopting the target index algorithm information so as to obtain the releasing grade of the target releasing person.
Example 9 provides an apparatus for determining a delivery level, the indexing algorithm information including at least indexing algorithm content and a weight of an indexing algorithm, the indexing algorithm content including script code for implementing an indexing algorithm, according to one or more embodiments of the present disclosure.
Example 10 provides, in accordance with one or more embodiments of the present disclosure, an apparatus for determining a delivery rank, the metric algorithm determination module comprising:
The algorithm content determining unit is used for taking the candidate index algorithm content associated with the target index identification as the target index algorithm content if the index identification of the target dimension belongs to the candidate index identification set;
And the algorithm weight determining unit is used for taking the index weight associated with the index identification of the target dimension as the weight of the target index algorithm.
Example 11 provides, in accordance with one or more embodiments of the present disclosure, an apparatus for determining a placement level, the metric algorithm determination module including:
And the algorithm indication generating unit is used for generating an index algorithm generating instruction carrying the index identification of the target dimension if the index identification of the target dimension does not belong to the candidate index identification set, so that an index generator responds to the index algorithm generating instruction to generate target index algorithm content, and determines the weight of the target index algorithm.
Example 12 provides, in accordance with one or more embodiments of the present disclosure, an apparatus for determining a placement level, the apparatus further comprising:
The data acquisition interface determining module is used for determining a data acquisition interface related to the media information released by the target releaser; wherein the data acquisition interface is associated with at least one service manager; the database of the business management party records historical behavior data aiming at the media information released by the target releasing person;
And the historical behavior data acquisition module is used for acquiring historical behavior data related to the medium information released by the target releasing person from a database of a business management party through a data acquisition interface.
Example 13 provides, in accordance with one or more embodiments of the present disclosure, an apparatus for determining a delivery level, the behavior data processing module including:
according to the weight of the target index algorithm, performing historical behavior data processing on the media information released by the target releasing person by operating the content of the target index algorithm: wherein the target metric algorithm content is only used to process historical behavior data matching the metric identification of the target dimension.
example 14 provides, in accordance with one or more embodiments of the present disclosure, an apparatus for determining a placement level, the apparatus further comprising:
the releasing level pushing module is used for responding to a releasing level reading request of a target user and pushing the determined releasing level of the target releasing person to the target user; wherein, the release level reading request includes the identity of the target user and the identity of the target release.
Example 15 provides, in accordance with one or more embodiments of the present disclosure, an electronic device, comprising:
One or more processing devices;
Storage means for storing one or more programs;
when executed by the one or more processing devices, cause the one or more processing devices to implement the method of determining a delivery level of any of examples 1-7.
example 16 provides a computer-readable medium having stored thereon a computer program that, when executed by a processing device, implements the method of determining a impression level of any of examples 1-7.
the foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (10)
1. A method for determining a delivery level, comprising:
Acquiring an identifier of a target dispenser and an index identifier of a target dimension through an index configuration interface;
determining target index algorithm information according to the index identification of the target dimension;
And performing historical behavior data processing on the medium information thrown by the target thrower by adopting the target index algorithm information to obtain the throwing grade of the target thrower.
2. the method of claim 1, wherein the indexing algorithm information comprises at least indexing algorithm content and a weight of an indexing algorithm, the indexing algorithm content comprising script code for implementing an indexing algorithm.
3. The method of claim 2, wherein determining target metric algorithm information based on the metric identification of the target dimension comprises:
If the index identification of the target dimension belongs to the candidate index identification set, taking the candidate index algorithm content associated with the index identification of the target dimension as the target index algorithm content;
And taking the index weight associated with the index identification of the target dimension as the weight of the target index algorithm.
4. The method of claim 2, wherein determining target metric algorithm information based on the metric identification of the target dimension comprises:
and if the index identifier of the target dimension does not belong to the candidate index identifier set, generating an index algorithm generation instruction carrying the index identifier of the target dimension, so that an index generator responds to the index algorithm generation instruction to generate target index algorithm content, and determining the weight of the target index algorithm.
5. the method of claim 1, further comprising, prior to the historical behavior data processing of the information about the media delivered by the target deliverer:
Determining a data acquisition interface associated with the media information launched by the target launcher; wherein the data acquisition interface is associated with at least one service manager; the database of the business management party records historical behavior data aiming at the media information released by the target releasing person;
and acquiring historical behavior data associated with the media information released by the target releasing person from a database of a business management party through a data acquisition interface.
6. The method according to claim 3 or 4, wherein the performing historical behavior data processing on the medium information released by the target releaser by using the target index algorithm information comprises:
According to the weight of the target index algorithm, performing historical behavior data processing on the media information released by the target releasing person by operating the content of the target index algorithm: wherein the target metric algorithm content is only used to process historical behavior data matching the metric identification of the target dimension.
7. The method of claim 1, further comprising, after obtaining the placement rating of the target placer:
responding to a release level reading request of a target user, and pushing the determined release level of the target release to the target user; wherein, the release level reading request includes the identity of the target user and the identity of the target release.
8. An apparatus for determining a placement level, comprising:
The index identification acquisition module is used for acquiring the identification of the target releaser and the index identification of the target dimension through the index configuration interface;
The index algorithm determining module is used for determining target index algorithm information according to the index identification of the target dimension;
And the behavior data processing module is used for performing historical behavior data processing on the medium information released by the target releasing person by adopting the target index algorithm information so as to obtain the releasing grade of the target releasing person.
9. An electronic device, comprising:
one or more processing devices;
Storage means for storing one or more programs;
when executed by the one or more processing devices, cause the one or more processing devices to implement the method of determining a placement level of any of claims 1-7.
10. a computer-readable medium, on which a computer program is stored, which, when being executed by a processing means, carries out the method of determining a shot level according to any one of claims 1 to 7.
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