CN115082117A - Data processing method, data processing device, computer equipment and computer readable storage medium - Google Patents
Data processing method, data processing device, computer equipment and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a data processing method, a data processing device, computer equipment and a computer readable storage medium, wherein the list adjustment coefficient is obtained by obtaining the current to-be-consumed list quantity, the preset list quantity range and the list adjustment coefficient of the current to-be-consumed list of a list engine, and is predicted based on the historical list output quantity and the historical list push quantity of the list engine; calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient; selecting a candidate list matched with the push amount of the current list, and pushing the candidate list to a list engine; screening the list of candidates through a wind control strategy of the list engine to obtain an output list of the list engine; and taking the current consumption list and the yield list as the list to be consumed of the list engine so as to manage the list to be consumed. According to the scheme, the list pushing amount is adjusted through the list adjusting coefficient, the accuracy of the number of the lists to be consumed of the list engine is guaranteed, and resource waste is reduced.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a data processing method, an apparatus, a computer device, and a computer-readable storage medium.
Background
In some scenarios, it may be desirable to push the roster to the relevant business person of the scenario, or to an associated roster engine, for example, in the financial industry, financial products need to be marketed to customers, the marketing customer lists of the marketing financial products are pushed by a background system, the background system is usually preset with the quantity of pushed lists, and a fixed quantity of lists are pushed every day, however, the lists pushed by the background system cannot completely meet the requirements, the situation that the number of the lists is insufficient or the number of the lists is excessive may cause the waste of the lists (more marketing client lists are not marketed) or the lists are exhausted (the number of clients which can be marketed by related service personnel is larger than the number of the marketing client lists), the push number of the background system lists is inaccurate, the number of the marketing client lists acquired by the service personnel or the list engine is inaccurate, and the waste of resources such as list resources and human resources is caused.
Disclosure of Invention
The embodiment of the application provides a data processing method, a data processing device, computer equipment and a computer readable storage medium, so that the accuracy of the number of lists to be consumed is ensured, and the resource waste is reduced.
The data processing method provided by the embodiment of the application comprises the following steps:
acquiring the current quantity of the lists to be consumed, the preset list quantity range and a list adjusting coefficient of a current list to be consumed of a list engine, wherein the list adjusting coefficient is obtained by prediction based on the historical list output quantity and the historical list push quantity of the list engine;
calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient;
selecting a candidate list matched with the pushing amount of the current list, and pushing the candidate list to the list engine;
screening the list of candidates through a wind control strategy of the list engine to obtain a yield list of the list engine;
and taking the current consumption list and the yield list as the list to be consumed of the list engine so as to manage the list to be consumed.
Correspondingly, an embodiment of the present application further provides a data processing apparatus, including:
the system comprises an acquisition unit, a list pushing unit and a list processing unit, wherein the acquisition unit is used for acquiring the current list quantity to be consumed, the preset list quantity range and the list adjusting coefficient of the current list to be consumed of a list engine, and the list adjusting coefficient is obtained by prediction based on the historical list output quantity and the historical list pushing quantity of the list engine;
the calculation unit is used for calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjustment coefficient;
the selecting unit is used for selecting a candidate list matched with the pushing amount of the current list and pushing the candidate list to the list engine;
the screening unit is used for screening the list of the candidate list through the wind control strategy of the list engine to obtain the output list of the list engine;
and the generating unit is used for taking the current consumption list and the output list as the list to be consumed of the list engine so as to manage the list to be consumed.
In an embodiment, the range threshold includes a first range threshold and a second range threshold, and the calculation unit includes:
a first difference calculating subunit, configured to calculate a first difference between the current amount of the tickets to be consumed and the first range threshold if the current amount of the tickets to be consumed is smaller than the first range threshold;
and the first pushed amount operator unit is used for calculating the pushed amount of the list based on the first difference and the list adjusting coefficient when the first difference meets a first preset condition.
In one embodiment, the computing unit includes:
the output obtaining subunit is used for obtaining the fixed name list output of the list engine;
and the sub-unit is used for taking the output quantity of the fixed list as the list pushing quantity when the first difference value does not meet the preset condition.
In one embodiment, the computing unit includes:
a second difference calculation subunit, configured to calculate a second difference between the current quantity of tickets to be consumed and the second range threshold if the current quantity of tickets to be consumed is greater than the first range threshold and smaller than the second range threshold;
and the second pushed amount operator unit is used for calculating the list pushed amount based on the second difference and the list adjusting coefficient.
In an embodiment, the data processing apparatus further includes:
the first data acquisition unit is used for acquiring the historical list output quantity and the historical list push quantity from the list engine;
the list difference value calculating unit is used for calculating the list difference value between the historical list output quantity and the historical list push quantity;
and the coefficient prediction unit is used for predicting the list adjustment coefficient of the list engine according to the list difference value and the historical list output quantity.
In an embodiment, the data processing apparatus further includes:
the second data acquisition unit is used for acquiring the initial list quantity range and the historical list consumption;
the trend prediction unit is used for predicting the list consumption trend according to the historical list consumption by a trend prediction model;
and the range adjusting unit is used for adjusting the initial list quantity range based on the list consumption trend to obtain the preset list quantity range.
In an embodiment, the data processing apparatus further includes:
the third data acquisition unit is used for acquiring the fixed list output quantity of the list engine and the list consumption quantity aiming at the list to be consumed;
the residual consumption amount calculating unit is used for calculating the residual consumption amount to be consumed of the list to be consumed according to the list consumption amount and the number of the list to be consumed;
and the information generating unit is used for generating alarm information if the future list to be consumed determined based on the output quantity of the fixed list and the residual amount to be consumed is larger than the range threshold.
Correspondingly, the embodiment of the application also provides computer equipment which comprises a memory and a processor; the memory stores a computer program, and the processor is used for operating the computer program in the memory to execute any data processing method provided by the embodiment of the application.
Accordingly, embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium is used to store a computer program, and the computer program is loaded by a processor to execute any one of the data processing methods provided in the embodiments of the present application.
The method comprises the steps of obtaining the current quantity of the lists to be consumed of the current list to be consumed of a list engine, a preset list quantity range and a list adjusting coefficient, wherein the list adjusting coefficient is obtained through prediction based on the historical list output quantity and the historical list push quantity of the list engine; calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient; selecting a candidate list matched with the pushing amount of the current list, and pushing the candidate list to a list engine; screening the list of candidates through a wind control strategy of the list engine to obtain an output list of the list engine; and taking the current consumption list and the yield list as the list to be consumed of the list engine so as to manage the list to be consumed.
According to the scheme, the list pushing amount of the list engine is adjusted through the list adjusting coefficient, so that after the list engine screens the obtained output lists from the candidate lists, the number of the lists to be consumed of the list engine meets the preset list number range, the accuracy of the number of the lists to be consumed is guaranteed, and the resource waste is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a data processing method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a computer device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a data processing method, a data processing device, computer equipment and a computer readable storage medium. The data processing apparatus may be integrated into a computer device, and the computer device may be a server or a terminal.
The terminal may include a mobile phone, a wearable smart device, a tablet Computer, a notebook Computer, a Personal Computer (PC), a vehicle-mounted Computer, and the like.
The server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN (content delivery network), big data and artificial intelligence platforms and the like.
The following are detailed below. It should be noted that the following description of the embodiments is not intended to limit the preferred order of the embodiments.
The present embodiment will be described from the perspective of a data processing apparatus, which may be specifically integrated in a computer device, and the computer device may be a server, or may be a terminal or other devices.
In the data processing method provided in the embodiment of the present application, as shown in fig. 1, a specific flow of the data processing method may be as follows
101. The method comprises the steps of obtaining the current quantity of the lists to be consumed of the current list to be consumed of a list engine, the preset list quantity range and a list adjusting coefficient, wherein the list adjusting coefficient is obtained through prediction based on the historical list output quantity and the historical list push quantity of the list engine.
The list pushing amount may include the number of push lists pushed to a list engine by a background management system (specifically, a terminal or a server of the background management system), the list output amount may include the number of output lists obtained after the list engine filters the push lists, the historical list pushing amount may be the number of push lists pushed to the list engine by the background management system at least once in the past time, and the historical list output amount may be the number of output lists obtained after the list engine filters the push lists at least once in the past time.
The list engine may include a program for screening a push list pushed by the background management system, and obtaining a production list after screening.
The list adjusting coefficient can predict parameters according to the output quantity of the historical list and the push quantity of the historical list, the quantity of the list required by the list engine is insufficient due to the fact that the quantity of the output list screened by the list engine is possibly different from the push list pushed by the background management system, and the quantity of the push list pushed by the background management system can be adjusted through the list adjusting coefficient, so that the list engine can obtain the list with the proper quantity.
The list to be currently consumed may include a list that is currently existing and not yet consumed by the list engine, and the amount of the list to be currently consumed may be the amount of the list to be currently consumed.
The preset list quantity range may include a preset list quantity range required by the list engine, and may be configured through the background management system.
For example, the list quantity to be consumed currently, the preset list quantity range and the list adjustment coefficient of the list to be consumed currently of the list engine may be obtained.
The method for processing the data according to the embodiment of the present application may further include the following steps, before the step "obtaining the current quantity of the list to be consumed of the current list to be consumed of the list engine, the preset list quantity range, and the list adjustment coefficient", the step:
acquiring historical list output quantity and historical list push quantity from a list engine;
calculating a list difference value between the output quantity of the historical list and the push quantity of the historical list;
and predicting list adjustment coefficients of a list engine according to the list difference and the output of the historical list.
For example, the list engine may specifically filter a list that does not meet the condition from the push list, so that the output amount of the list is different from the push amount of the historical list, and calculate a list difference between the output amount of the historical list and the push amount of the historical list, where the list difference may indicate the level of the screening criterion of the list engine, and the higher the screening criterion is, the larger the list difference is, and the smaller the list difference is otherwise.
And calculating the ratio between the difference value of the list and the output quantity of the historical list to obtain the ratio of the difference value of the list in the output quantity of the historical list, and adding 1 to the ratio to obtain a list adjustment coefficient.
Optionally, the output quantity of the history list and the pushed quantity of the history list can be input into a coefficient prediction model, and the coefficient is adjusted by the coefficient prediction model according to the list difference value and the list of the history list output quantity prediction list engine.
The preset list quantity range may be manually preset, or may be obtained through prediction of a trend prediction model, that is, in an embodiment, before the step "obtaining the quantity of the current list to be consumed of the list engine, the preset list quantity range, and the list adjustment coefficient", the data processing method provided in the embodiment of the present application further includes:
s1: acquiring an initial list quantity range and historical list consumption;
s2: predicting the consumption trend of the list according to the consumption of the historical list by a trend prediction model;
s3: and adjusting the initial list quantity range based on the list consumption trend to obtain a preset list quantity range.
The initial list number range may be a number range preset manually.
The historical consumption amount of the list is obtained from the list engine, and the consumed modes of the list are different according to different application scenarios, for example, if the application scenario is an advertisement push or a message push, the consumed mode of the list may be that an advertisement or a message is pushed to an object indicated by the list, and if the application scenario is a product marketing scenario, the consumed mode of the list may be that a salesperson visits or carries out telemarketing to the object indicated by the list.
Wherein the trend of consumption of the list may indicate that the consumption of the list is increased or decreased compared to the current consumption of the list in a future period of time, and the trend of consumption of the list may further include a magnitude of the increase or decrease.
For example, the historical consumption of the list in the past may be input into a trend prediction model, trend prediction is performed through the historical consumption of the list by the trend prediction model, and then the list consumption trend is output.
The trend of the consumption of the list indicates the consumption rate of the list in a future period of time, for example, the consumption of the list may increase by 5% or the consumption of the list may decrease by 7% in the future period of time. If the consumption of the list is increased, the number of the lists in the initial list number range is less than the number of the lists which can be actually consumed, the condition that the number of the lists is insufficient can occur, and the insufficient number of the lists can cause that the capacity of consuming the lists is not fully applied, for example, when the lists are consumed, a marketer carries out product marketing on a user of the lists, the marketer cannot have enough lists to market under the condition that the number of the lists is insufficient, and the number of the lists is not matched with the marketing capacity of the marketer, so that the waste of human resources is caused.
Adjusting the initial list quantity range according to the list consumption trend, for example, when the list consumption trend is increased by 5%, increasing both the minimum value and the maximum value of the initial list range by 5% to obtain a preset list quantity range; and when the list consumption trend is increased by 10%, reducing the minimum value and the maximum value of the initial list range by 10% to obtain a preset list quantity range.
Optionally, the preset list quantity range may be adjusted periodically, specifically, the preset list quantity range may be used as an initial list quantity range, and the S1-S3 is executed in return, and the preset list quantity range is dynamically adjusted according to an actual list consumption condition, so that waste or list exhaustion of the list is avoided.
102. And calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient.
For example, the method specifically includes acquiring a fixed list pushing amount of the list engine by the background management system, where the fixed list pushing amount is an unregulated pushing amount and is a parameter preset by the background management system.
If the number of the current lists to be consumed and the pushing quantity of the fixed lists are still smaller than the range of the preset lists, the fixed list pushing quantity is adjusted to obtain the pushing quantity of the lists, so that the list engine has enough lists to be consumed, according to a formula: k is a radical of 1 ＝k 0 X (1+ n), calculating the pushing amount of the list, wherein k is 1 Is the list push volume, k 0 And n is a list adjustment coefficient.
If the number of the current lists to be consumed and the pushing quantity of the fixed list exceed the maximum value of the preset list range, the fixed list pushing list needs to be adjusted to obtain the pushing quantity of the list, so that the lists to be consumed of the list engine are not too much to cause the waste of the list, and then according to a formula: k is a radical of 1 ＝k 0 X (1-n), calculating the pushing amount of the list, wherein k 1 Is the list push volume, k 0 And n is a list adjustment coefficient.
If the number of the current lists to be consumed exceeds the maximum value of the preset list range, according to a formula: k is a radical of 1 And (4) calculating the push amount of the list, namely not pushing the list to the list engine, wherein the push amount of the list is 0 x (1-n) and 0.
Optionally, the calculating the pushed amount of the list according to the difference between the amount of the list to be consumed and a preset list range and the list adjustment coefficient may specifically include:
if the current quantity of the list to be consumed is smaller than the first range threshold, calculating a first difference value between the current quantity of the list to be consumed and the first range threshold;
and when the first difference value meets the preset condition, calculating the list pushing amount based on the first difference value and the list adjusting coefficient.
The preset condition may include that the preset condition is greater than the push amount of the fixed list.
For example, the push amount of the fixed list is 500, the preset list range is 700-600, if the pushing amount of the fixed list is greater than 500, which indicates that the number of the list is still insufficient after the background management system pushes the list of the pushing amount of the fixed list to the list engine, according to a formula: k is a radical of 1 ＝k 0 +m 1 -(m 1 -(k 0 + a)) × (1+ n), the push amount of the list is calculated.
If the first difference does not satisfy the preset condition, that is, the first difference is smaller than the fixed list pushing amount, it is considered that after the background management system pushes the list of the fixed list pushing amount to the list engine, the number of the list owned by the list engine satisfies a preset list number range, and then the list of the fixed list pushing amount is pushed to the list engine, that is, in an embodiment, the data processing method provided in the embodiment of the present application may further include:
acquiring the fixed name list output quantity of a list engine;
and when the first difference value does not meet the preset condition, taking the output quantity of the fixed list as the list pushing quantity.
Optionally, the data processing method provided in the embodiment of the present application may further include:
if the current quantity of the lists to be consumed is larger than the first range threshold and smaller than the second range threshold, calculating a second difference value between the current quantity of the lists to be consumed and the second range threshold;
and calculating the pushing amount of the list based on the second difference value and the list adjusting coefficient.
Wherein it may be less than the second range threshold.
For example, the push amount of the fixed list is 500, the preset list range is 700 + 1000, the threshold of the first range is 700, the threshold of the second range is 1000, if the current quantity of the tickets to be consumed is 800, is greater than the threshold of the first range 700, and is less than the threshold of the second range 1000, the second difference between the current quantity of the tickets to be consumed and the threshold of the second range is calculated, where 800 + 1000 is 200, and then, according to the formula: k is a radical of 1 ＝(m 2 -k 0 ) X (1+ n), calculating the pushing amount of the list.
103. And selecting a candidate list matched with the push quantity of the current list, and pushing the candidate list to a list engine.
For example, the candidate list matching the current list push may be selected from a local database of the background management system, and the candidate list is pushed to the list engine.
104. And screening the list candidate through the wind control strategy of the list engine to obtain the output list of the list engine.
The wind control policy may include a risk control policy, and the risk control policy may include a plurality of conditions for screening the roster.
For example, the list engine may specifically receive the candidate list, and filter the candidate list based on a wind control policy, for example, for a bank, score calculation may be performed on credit data, debit and credit transaction data, and the like of each user in the candidate list at the local bank, and a list in which the calculated score is in a risk score interval is filtered, and the remaining list is an output list of the list engine.
105. And taking the current consumption list and the output list as lists to be consumed of the list engine so as to manage the lists to be consumed.
For example, the list to be consumed of the list engine may be specifically a list of current consumption and yield of the list invariance, so as to perform management based on the list to be consumed, for example, performing message pushing or developing marketing activities.
Optionally, it may be further determined whether the list engine may generate an excessive list according to the consumption amount of the list, and if the list is excessive, an alarm is initiated to facilitate a worker to adjust in time, that is, after the step "taking the current consumption list and the production list as the list to be consumed by the list engine", the method provided in the embodiment of the present application further includes:
acquiring the fixed name list output quantity of a list engine and the list consumption quantity aiming at the list to be consumed;
calculating the residual consumption amount to be consumed of the list to be consumed according to the consumption amount of the list and the number of the list to be consumed;
and if the future to-be-consumed list quantity determined based on the output quantity of the fixed list and the residual to-be-consumed quantity is larger than the range threshold, generating alarm information.
For example, after the list engine generates the list to be consumed, the consumption of the list to be consumed is the consumption of the list, the list engine may generate the list to be consumed every day (or other time periods, which are not limited herein), when the management work of the list to be consumed is finished (for example, to a preset time), the single consumption is obtained, and the remaining consumption of the list to be consumed is calculated according to the consumption of the list and the number of the list to be consumed; and if the output of the fixed list plus n times of the residual consumption to be consumed (n is an integer greater than 0) is greater than a second threshold value of the preset number range, indicating that the list to be consumed is excessive, generating alarm information.
Optionally, the adjustment of the list adjustment coefficient and the preset number range may be performed periodically (adjustment period), for example, one week or half a month, and then n may be less than or equal to the number of days of the adjustment period, and if the output of the fixed list plus n times of the remaining amount to be consumed (n is an integer greater than 0) is greater than a second threshold of the preset number range, it indicates that the list to be consumed will be in an excessive state during the period in which the list adjustment coefficient and the preset number range are not changed.
As can be seen from the above, in the embodiment of the application, the current quantity of the lists to be consumed of the current list to be consumed of the list engine, the preset list quantity range and the list adjustment coefficient are obtained through obtaining, and the list adjustment coefficient is obtained through prediction based on the historical list output quantity and the historical list push quantity of the list engine; calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient; selecting a candidate list matched with the pushing amount of the current list, and pushing the candidate list to a list engine; screening the list of candidates through a wind control strategy of the list engine to obtain an output list of the list engine; and taking the current consumption list and the yield list as the list to be consumed of the list engine so as to manage the list to be consumed.
According to the scheme, the list pushing amount of the list engine is adjusted through the list adjusting coefficient, so that after the list engine screens the obtained output lists from the candidate lists, the number of the lists to be consumed of the list engine meets the preset list number range, the accuracy of the number of the lists to be consumed is guaranteed, and the resource waste is reduced.
In order to better implement the data processing method provided by the embodiment of the present application, in an embodiment, a data processing apparatus is further provided. The terms are the same as those in the data processing method, and details of implementation can be referred to the description in the method embodiment.
The data processing apparatus may be specifically integrated in a computer device, as shown in fig. 2, the data processing apparatus may include: the acquiring unit 301, the calculating unit 302, the selecting unit 303, the screening unit 304 and the generating unit 305 are as follows:
(1) the acquisition unit 301: the list adjusting method comprises the steps of obtaining the current list quantity to be consumed of the current list to be consumed of the list engine, the preset list quantity range and a list adjusting coefficient, wherein the list adjusting coefficient is obtained through prediction based on the historical list output quantity and the historical list pushing quantity of the list engine.
In an embodiment, the data processing apparatus may further include a first data obtaining unit, a list difference calculating unit, and a coefficient predicting unit, specifically:
a first data acquisition unit: the history list output quantity and the history list push quantity are obtained from the list engine;
list difference value calculating unit: the method is used for calculating the list difference value between the historical list output quantity and the historical list push quantity;
a coefficient prediction unit: and the list adjusting coefficient is used for predicting the list engine according to the list difference value and the output quantity of the historical list.
In an embodiment, the data processing apparatus may further include a second data acquisition unit, a trend prediction unit, and a range adjustment unit, specifically:
a second data acquisition unit: the method comprises the steps of obtaining an initial list quantity range and historical list consumption;
a trend prediction unit: the system is used for predicting the consumption trend of the list according to the historical consumption of the list through a trend prediction model;
a range adjustment unit: and the method is used for adjusting the initial list quantity range based on the list consumption trend to obtain a preset list quantity range.
(2) The calculation unit 302: and the method is used for calculating the push amount of the list if the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient.
In an embodiment, the range threshold comprises a first range threshold and a second range threshold, and the calculation unit may comprise a first difference calculation subunit and a first pushed amount calculation subunit, in particular:
the first difference calculation subunit: the method comprises the steps of calculating a first difference value between the current quantity of the lists to be consumed and a first range threshold value if the current quantity of the lists to be consumed is smaller than the first range threshold value;
a first push amount operator unit: and the device is used for calculating the list pushing amount based on the first difference and the list adjusting coefficient when the first difference meets a first preset condition.
In an embodiment, the calculation unit may include a second difference calculation subunit and a second pushed amount calculation subunit, specifically:
a second difference calculation subunit: the automatic consumption system is used for calculating a second difference value between the current quantity of the lists to be consumed and a second range threshold value if the current quantity of the lists to be consumed is larger than the first range threshold value and smaller than the second range threshold value;
a second push amount operator unit: and calculating the push amount of the list based on the second difference value and the list adjusting coefficient.
In an embodiment, the calculation unit may comprise a yield acquisition subunit and as subunits, in particular:
yield acquisition subunit: the method comprises the steps of obtaining the fixed name list output quantity of a list engine;
as subunits: and when the first difference value does not meet the preset condition, taking the output quantity of the fixed list as the list pushing quantity.
(3) The selecting unit 303: and the list pushing engine is used for selecting the candidate list matched with the pushing quantity of the current list and pushing the candidate list to the list engine.
(4) The screening unit 304: and the list screening module is used for screening the list candidate through the wind control strategy of the list engine to obtain the output list of the list engine.
(5) The generation unit 305: and the list management module is used for taking the current consumption list and the yield list as the list to be consumed of the list engine so as to manage the list to be consumed.
In an embodiment, the data processing apparatus may further include a third data obtaining unit, a remaining amount to be consumed calculating unit, and an information generating unit, specifically:
a third data acquisition unit: the list consumption management system is used for acquiring the fixed name list output quantity of the list engine and the list consumption quantity aiming at the list to be consumed;
remaining amount-to-be-consumed calculation unit: the system is used for calculating the residual consumption amount to be consumed of the list to be consumed according to the list consumption amount and the number of the list to be consumed;
an information generation unit: and generating alarm information if the future amount of the list to be consumed determined based on the fixed list output amount and the remaining amount to be consumed is larger than a range threshold.
As can be seen from the above, the data processing apparatus in the embodiment of the present application obtains, by the obtaining unit 301, the current amount of the list to be consumed, the preset list amount range, and the list adjustment coefficient of the list engine in the current list to be consumed, where the list adjustment coefficient is obtained by prediction based on the historical list output amount and the historical list pushed amount of the list engine; calculating the push quantity of the list by the calculating unit 302 according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient; selecting a candidate list matched with the push amount of the current list by a selecting unit 303, and pushing the candidate list to a list engine; the screening unit 304 screens the candidate list through the wind control strategy of the list engine to obtain the output list of the list engine; finally, the generation unit 305 uses the current consumption list and the yield list as the list to be consumed of the list engine to manage the list to be consumed.
According to the scheme, the list pushing amount of the list engine is adjusted through the list adjusting coefficient, so that after the list engine screens the obtained output lists from the candidate lists, the number of the lists to be consumed of the list engine meets the preset list number range, the accuracy of the number of the lists to be consumed is guaranteed, and the resource waste is reduced.
An embodiment of the present application further provides a computer device, where the computer device may be a terminal or a server, as shown in fig. 3, which shows a schematic structural diagram of the computer device according to the embodiment of the present application, and specifically:
the computer device may include components such as a processor 1001 of one or more processing cores, memory 1002 of one or more computer-readable storage media, a power supply 1003, and an input unit 1004. Those skilled in the art will appreciate that the computer device configuration illustrated in FIG. 3 does not constitute a limitation of computer devices, and may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components. Wherein:
the processor 1001 is a control center of the computer device, connects various parts of the entire computer device using various interfaces and lines, and performs various functions of the computer device and processes data by running or executing software programs and/or modules stored in the memory 1002 and calling data stored in the memory 1002, thereby monitoring the computer device as a whole. Optionally, processor 1001 may include one or more processing cores; preferably, the processor 1001 may integrate an application processor, which mainly handles operating systems, user interfaces, computer programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 1001.
The memory 1002 may be used to store software programs and modules, and the processor 1001 executes various functional applications and data processing by operating the software programs and modules stored in the memory 1002. The memory 1002 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, a computer program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the computer device, and the like. Further, the memory 1002 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 1002 may also include a memory controller to provide the processor 1001 access to the memory 1002.
The computer device further includes a power source 1003 for supplying power to each component, and preferably, the power source 1003 may be logically connected to the processor 1001 through a power management system, so that functions of managing charging, discharging, power consumption, and the like are implemented through the power management system. The power source 1003 may also include any component including one or more of a dc or ac power source, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
The computer device may also include an input unit 1004, and the input unit 1004 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the computer device may further include a display unit and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 1001 in the computer device loads the executable file corresponding to the process of one or more computer programs into the memory 1002 according to the following instructions, and the processor 1001 runs the computer programs stored in the memory 1002, so as to implement various functions as follows:
acquiring the current quantity of the lists to be consumed of the current list to be consumed of the list engine, a preset list quantity range and a list adjusting coefficient, wherein the list adjusting coefficient is obtained by prediction based on the historical list output quantity and the historical list push quantity of the list engine;
calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient;
selecting a candidate list matched with the pushing amount of the current list, and pushing the candidate list to a list engine;
screening the list of candidates through a wind control strategy of the list engine to obtain an output list of the list engine;
and taking the current consumption list and the yield list as the list to be consumed of the list engine so as to manage the list to be consumed.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
As can be seen from the above, the computer device according to the embodiment of the present application may obtain the current amount of the list to be consumed, the preset list number range, and the list adjustment coefficient of the list engine, where the list adjustment coefficient is predicted based on the historical list output amount and the historical list push amount of the list engine; calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient; selecting a candidate list matched with the pushing amount of the current list, and pushing the candidate list to a list engine; screening the list of candidates through a wind control strategy of the list engine to obtain an output list of the list engine; and taking the current consumption list and the yield list as the list to be consumed of the list engine so as to manage the list to be consumed.
According to the scheme, the list pushing amount of the list engine is adjusted through the list adjusting coefficient, so that after the list engine screens the obtained output lists from the candidate lists, the number of the lists to be consumed of the list engine meets the preset list number range, the accuracy of the number of the lists to be consumed is guaranteed, and the resource waste is reduced.
According to an aspect of the application, a computer program product or computer program is provided, comprising computer instructions, the computer instructions being stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the method provided in the various alternative implementations of the above embodiments.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by a computer program, which may be stored in a computer-readable storage medium and loaded and executed by a processor, or by related hardware controlled by the computer program.
To this end, the present application provides a computer-readable storage medium, in which a computer program is stored, where the computer program can be loaded by a processor to execute any one of the data processing methods provided in the present application.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the computer-readable storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the computer program stored in the computer-readable storage medium can execute any data processing method provided in the embodiments of the present application, beneficial effects that can be achieved by any data processing method provided in the embodiments of the present application can be achieved, and detailed descriptions are omitted here for the foregoing embodiments.
The foregoing detailed description has provided a data processing method, an apparatus, a computer device, and a computer-readable storage medium according to embodiments of the present application, and specific examples are applied herein to explain the principles and implementations of the present application, and the descriptions of the foregoing embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A data processing method, comprising:
acquiring the current quantity of the lists to be consumed, the preset list quantity range and a list adjusting coefficient of a current list to be consumed of a list engine, wherein the list adjusting coefficient is obtained by prediction based on the historical list output quantity and the historical list push quantity of the list engine;
calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjusting coefficient;
selecting a candidate list matched with the pushing amount of the current list, and pushing the candidate list to the list engine;
screening the list of candidates through a wind control strategy of the list engine to obtain a yield list of the list engine;
and taking the current consumption list and the yield list as the list to be consumed of the list engine so as to manage the list to be consumed.
2. The method of claim 1, wherein the range of roster quantities comprises a range threshold, and wherein after the using the current consumption roster and the yield roster as the to-be-consumed roster of the roster engine, the method further comprises:
acquiring the output quantity of the fixed list of the list engine and the list consumption aiming at the list to be consumed;
calculating the residual consumption amount to be consumed of the list to be consumed according to the list consumption amount and the number of the list to be consumed;
and if the future list quantity to be consumed determined based on the fixed list output quantity and the residual quantity to be consumed is larger than the range threshold, generating alarm information.
3. The method of claim 2, wherein the range threshold comprises a first range threshold and a second range threshold, the first range threshold is smaller than the second range threshold, and the calculating the push amount of the list according to the data relationship between the number of the current to-be-consumed lists and the preset list number range and the list adjustment coefficient comprises:
if the current quantity of the lists to be consumed is smaller than the first range threshold, calculating a first difference value between the current quantity of the lists to be consumed and the first range threshold;
and when the first difference value meets a preset condition, calculating the push quantity of the list based on the first difference value and the list adjusting coefficient.
4. The method of claim 3, further comprising:
acquiring the fixed name list output quantity of the list engine;
and when the first difference value does not meet the preset condition, taking the output quantity of the fixed list as the list pushing quantity.
5. The method of claim 3, further comprising:
if the current quantity of the lists to be consumed is larger than the first range threshold and smaller than the second range threshold, calculating a second difference value between the current quantity of the lists to be consumed and the second range threshold;
and calculating the list pushing quantity based on the second difference value and the list adjusting coefficient.
6. The method of claim 1, wherein before obtaining the current amount of the lists to be consumed, the preset list number range, and the list adjustment coefficient of the list engine, the method further comprises:
acquiring the historical list output quantity and the historical list pushing quantity from the list engine;
calculating a list difference value between the historical list output quantity and the historical list push quantity;
and predicting list adjustment coefficients of the list engine according to the list difference values and the historical list output quantity.
7. The method according to any one of claims 1 to 5, wherein before obtaining the current list amount to be consumed, the preset list amount range and the list adjustment coefficient of the current list to be consumed of the list engine, the method further comprises:
acquiring an initial list quantity range and historical list consumption;
predicting the list consumption trend according to the historical list consumption by a trend prediction model;
and adjusting the initial list quantity range based on the list consumption trend to obtain the preset list quantity range.
8. A data processing apparatus, comprising:
the system comprises an acquisition unit, a list pushing unit and a list processing unit, wherein the acquisition unit is used for acquiring the current list quantity to be consumed, the preset list quantity range and the list adjusting coefficient of the current list to be consumed of a list engine, and the list adjusting coefficient is obtained by prediction based on the historical list output quantity and the historical list pushing quantity of the list engine;
the calculation unit is used for calculating the pushing amount of the list according to the data relation between the number of the current list to be consumed and the preset list number range and the list adjustment coefficient;
the selecting unit is used for selecting a candidate list matched with the pushing amount of the current list and pushing the candidate list to the list engine;
the screening unit is used for screening the list of the candidate list through the wind control strategy of the list engine to obtain the output list of the list engine;
and the generating unit is used for taking the current consumption list and the output list as the list to be consumed of the list engine so as to manage the list to be consumed.
9. A computer device comprising a memory and a processor; the memory stores a computer program, and the processor is configured to execute the computer program in the memory to perform the data processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium for storing a computer program which is loaded by a processor to perform the data processing method of any one of claims 1 to 7.
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