CN111028041B - Data processing method and device, readable storage medium and electronic equipment - Google Patents
Data processing method and device, readable storage medium and electronic equipment Download PDFInfo
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- CN111028041B CN111028041B CN201910538937.7A CN201910538937A CN111028041B CN 111028041 B CN111028041 B CN 111028041B CN 201910538937 A CN201910538937 A CN 201910538937A CN 111028041 B CN111028041 B CN 111028041B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0603—Catalogue ordering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
Abstract
The embodiment of the invention discloses a data processing method, a data processing device, a readable storage medium and electronic equipment. The method and the device for displaying the target object in the current period have the advantages that the target object is opened in response to the current period, and the available display times of the target object in the current period are obtained; analyzing the historical data of the target object in the previous period of the current period and/or the current period, and determining the target display times of the target object in at least two ranking ranges of an object list in the current period; and randomly placing the target object at any position in each ranking range of each section of the object list based on the target display times. By the method, the target object is placed at any position in the object list before the set ranking in the set period, and the position is dynamically adjusted until the preset target display times are reached, so that the display times of the target object are ensured, and the accuracy and the flexibility of the object sequencing in the object list are improved.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a method and an apparatus for data processing, a readable storage medium, and an electronic device.
Background
With the continuous development of the take-out industry, the number of merchants of the take-out platform is continuously increased, competition among the merchants is more intense, and the click rate of the merchants is greatly influenced by the ranking of the merchants in the object list, so that the target merchants in the take-out platform need to adjust the ranking of the target merchants in the merchant list.
In the prior art, after the takeout platform determines the merchant list, the merchant list is sent to the user terminal, and for each user, the merchant list sent to the user terminal is sorted according to the behavior data of the user.
Disclosure of Invention
In view of this, embodiments of the present invention provide a data processing method, an apparatus, a readable storage medium, and an electronic device, which can improve accuracy and flexibility of object ordering in an object list.
In a first aspect, an embodiment of the present invention provides a data processing method, where the method includes: responding to the starting of the current period, and acquiring the available display times of the target object in the current period; analyzing the historical data of the target object in the previous period of the current period and/or the current period, and determining the target display times of the target object in at least two ranking ranges of an object list in the current period; and randomly placing the target object at any position in each ranking range of each section of the object list based on the target display times.
Preferably, the randomly placing the target object at any position in each ranking range of the object list based on the target display times specifically includes: responding to the target display times not being zero, and randomly placing the target object at any position in each ranking range of the object list; and updating the target display times.
Preferably, the current period is started as the time reaches a preset time, or the available display times of the last period of the current period is zero.
Preferably, the at least two ranking ranges are at least two ranking ranges before the set ranking in the object list.
Preferably, analyzing the previous cycle of the current cycle and/or the historical data of the target object in the current cycle, and determining the number of times of displaying the target object in at least two ranking ranges of the object list in the current cycle specifically includes: acquiring historical data of the target object in the previous period; analyzing the historical data in the previous period, and determining the target display times of the target object in at least two ranking ranges of the object list in the current period; and adjusting the target display times of the current period.
Preferably, analyzing the previous cycle of the current cycle and/or the historical data of the target object in the current cycle, and determining the number of times of displaying the target object in at least two ranking ranges of the object list in the current cycle specifically includes: in the current period, after the displayed times of the target object reach the preset target display times, determining historical data of the target object within the time when the displayed times reach the preset target display times; analyzing historical data of the target object within the time when the displayed times reach the preset target display times, and determining the target display times of the next release; and adjusting the target display times of the next release.
In a second aspect, an embodiment of the present invention provides an apparatus for data processing, where the apparatus includes: the acquisition unit is used for responding to the opening of the current period and acquiring the available display times of the target object in the current period; the determining unit is used for analyzing the historical data of the target object in the last period of the current period and/or the current period and determining the target display times of the target object in at least two ranking ranges of an object list in the current period; and the processing unit is used for randomly placing the target object at any position in each ranking range of the object list based on the target display times.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium on which computer program instructions are stored, which when executed by a processor implement the method according to the first aspect or any one of the possibilities of the first aspect.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory is used to store one or more computer program instructions, where the one or more computer program instructions are executed by the processor to implement the following steps: responding to the starting of the current period, and acquiring the available display times of the target object in the current period; analyzing the historical data of the target object in the previous period of the current period and/or the current period, and determining the target display times of the target object in at least two ranking ranges of an object list in the current period; and randomly placing the target object at any position in each ranking range of each section of the object list based on the target display times.
Preferably, the processor further performs the steps of: responding to the target display times not being zero, and randomly placing the target object at any position in each ranking range of the object list; and updating the target display times.
Preferably, the current period is started as the time reaches a preset time, or the available display times of the last period of the current period is zero.
Preferably, the at least two ranking ranges are at least two ranking ranges before the set ranking in the object list.
Preferably, the processor specifically executes the following steps: acquiring historical data of the target object in the previous period; analyzing the historical data in the previous period, and determining the target display times of the target object in at least two ranking ranges of the object list in the current period; and adjusting the target display times of the current period.
Preferably, the processor specifically executes the following steps: in the current period, after the displayed times of the target object reach the preset target display times, determining historical data of the target object within the time when the displayed times reach the preset target display times; analyzing historical data of the target object within the time when the displayed times reach the preset target display times, and determining the target display times of the next release; and adjusting the target display times of the next release.
The method and the device for displaying the target object in the current period have the advantages that the target object is opened in response to the current period, and the available display times of the target object in the current period are obtained; analyzing the historical data of the target object in the previous period of the current period and/or the current period, and determining the target display times of the target object in at least two ranking ranges of an object list in the current period; and randomly placing the target object at any position in each ranking range of each section of the object list based on the target display times. By the method, the target object is placed at any position in the object list before the set ranking in the set period, and the position is dynamically adjusted until the preset target display times are reached, so that the display times of the target object are ensured, and the accuracy and the flexibility of the object sequencing in the object list are improved.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent from the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart of a method of data processing of a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a user terminal interface of the first embodiment of the present invention;
FIG. 3 is a schematic diagram of a user terminal interface of the first embodiment of the present invention;
FIG. 4 is a schematic diagram of a user terminal interface of the first embodiment of the present invention;
FIG. 5 is a diagram of an application scenario of the second embodiment of the present invention;
FIG. 6 is a schematic diagram of a data processing apparatus according to a third embodiment of the present invention;
fig. 7 is a schematic view of an electronic apparatus according to a fourth embodiment of the present invention.
Detailed Description
The present disclosure is described below based on examples, but the present disclosure is not limited to only these examples. In the following detailed description of the present disclosure, certain specific details are set forth. It will be apparent to those skilled in the art that the present disclosure may be practiced without these specific details. Well-known methods, procedures, components and circuits have not been described in detail so as not to obscure the present disclosure.
Further, those of ordinary skill in the art will appreciate that the drawings provided herein are for illustrative purposes and are not necessarily drawn to scale.
Unless the context clearly requires otherwise, throughout the description and the claims, the words "comprise", "comprising", and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is, what is meant is "including, but not limited to".
In the description of the present disclosure, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.
After receiving a recall request sent by a user terminal, the takeout platform places a target merchant in a merchant list and feeds the request back to the user terminal, one exposure of the target merchant, namely the target merchant, is displayed in the user terminal through the merchant list, and the exposure rate in the takeout platform is the ratio of the display times of the target merchant in a set period to all the display times of all merchants of the whole takeout platform, wherein the set period is 1 day. Since the number of merchants of the take-out platform is increasing, the competition among the merchants is more vigorous, and the exposure rate of the merchants in the take-out platform greatly affects the click rate of the merchants, the exposure rate of target merchants newly entering the take-out platform or target merchants wanting to improve the click rate needs to be improved in the platform. The method comprises the steps that the target merchants are ranked in a merchant list in a takeout platform, so that the exposure rate of the target merchants is greatly influenced, the exposure rate of the target merchants is improved by means of improving the ranking of the target objects in the target list, specifically, after the takeout platform determines the merchant list, the merchant list is sent to a user terminal, the merchant list sent to the user terminal is sorted according to behavior data of each user, and due to the fact that only behavior data of the user are considered in the sorting mode, the considered dimensionality is not comprehensive, the displaying opportunities of the merchants are unbalanced, the determined sorting in the merchant list is not accurate, or the merchant list is sorted through the behavior data or feature data of the merchants, and the merchants are updated and sorted after long-time behavior data collection is needed, and the flexibility is poor. Therefore, how to improve the accuracy and flexibility of merchant ranking in the merchant list is a problem to be solved at present.
In one embodiment, the characteristic data of the merchants includes a conversion rate, an operating time, a marketing strength, and the like, where the conversion rate is a ratio of an exposure rate of each merchant in a set period to an income value of each merchant in the set period, or a ratio of an exposure rate of each merchant in the set period to an order number of each merchant in the set period.
In a specific embodiment, the merchant may also be referred to as an object, and the target merchant may also be referred to as a target object, which is not limited by the present invention.
Fig. 1 is a flowchart of a data processing method according to a first embodiment of the present invention. As shown in fig. 1, the method specifically comprises the following steps:
and S100, responding to the opening of the current period, and acquiring the available display times of the target object in the current period.
Specifically, the current period is started as a time when the time reaches a preset time, or the available display times of the previous period of the current period is zero. For example, zero is a preset time each day, and the time by this is the turn-on time of a new cycle. Or, the target display times of the display object of the target object in the previous period is 2000 times, and when the available display times of the previous period is zero, the new period is started. The target object may be a merchant, a dish, an item, etc., and the present invention is not limited thereto.
Optionally, the obtaining of the target object may further receive a recall request before the available display times of the current period, where the recall request is a request triggered by a user terminal through a specific tag or in a manner of inputting a specific character in a search box, and is used to request a server to feed back an object list, taking an object as a merchant, for example 1, as shown in fig. 2, fig. 2 is a user terminal, and the user terminal displays a taste tag: when a user selects a specific taste label, for example, "spicy", the object list fed back by the server is all commercial tenants with spicy taste, and the user terminal receives the object list and then displays the object list on the user terminal interface according to the sequence of the object list, for example, a recall request is triggered by the user clicking the "spicy" label, and the object list displayed on the user terminal interface is as shown in fig. 2: spicy duck necks, Chongqing spicy pots, hot lives, special spicy pots, potato powder, spicy king pots and the like. Example 2, as shown in fig. 3, fig. 3 is a user terminal, and a name of a commodity desired by a user is input in a search box of the user terminal: for example, "congee", click "search", trigger a recall request, all the object lists fed back by the server are merchants related to congee, and after receiving the object lists, the user terminals display the object lists in the user terminal interface according to the order of the object lists, for example, a browsable list displayed by the user terminal interface is shown in fig. 3: porridge pie houses, coarse grain houses, Jiahe Yipin, Gongtan steamed stuffed buns and the like.
Assuming that the set period is 24 hours, within 24 hours, the number of times that the target object needs to be displayed at the client of the user is the target display number, for example, the target object needs to be displayed 1500 times within 24 hours, after the server or the platform receives a recall request sent by the client of the user, the available display number of the target object is determined, and once the recall request of the user terminal is received, the available display number is reduced, for example, in response to receiving the recall request, the available display number is determined to be 1320 times.
Step S101, analyzing the previous cycle of the current cycle and/or the historical data of the target object in the current cycle, and determining the target display times of the target object in at least two ranking ranges of an object list in the current cycle.
Specifically, the at least two ranking ranges are at least two ranking ranges before the set ranking in the object list, for example, the at least two ranking ranges are at least two ranking ranges before 100 names in the object list.
In the embodiment of the invention, the analysis of the historical data of the target object is specifically divided into two situations.
Acquiring historical data of the target object in the previous period; analyzing the historical data in the previous period, and determining the target display times of the target object in at least two ranking ranges of the object list in the current period; and adjusting the target display times of the current period.
In the embodiment of the present invention, the total target display times of the current cycle is determined according to the historical data of the previous cycle in the manner of the case one, specifically, the total target display times of the target object may be 300 times, 500 times, 1000 times, 1500 times, and the like, and is determined specifically according to the actual data situation.
In a specific embodiment, in response to the target showing times being zero, a first ratio of the exposure rate of the target object in the set period to the revenue value of the target object in the set period and/or a second ratio of the exposure rate of the target object in the set period to the order number of the target object in the set period is determined.
For example, the available display times in step S101 are all completed from 1320 times to zero times, that is, the target object has 1500 target display times and is completely released.
In one embodiment, after determining the first ratio and/or the second ratio, there are two ways:
in a first mode, in response to the first ratio being greater than or equal to a first threshold value and/or the second ratio being greater than or equal to a second threshold value, in a next set period, the total target display times of the target object is increased.
Specifically, the first threshold is a set ratio of an exposure rate of the target object in the set period to an income value of the target object in the set period, and the second threshold is a set ratio of an exposure rate of the target object in the set period to an order number of the target object in the set period.
Assuming that the first ratio is a specific value, for example, the first ratio of the target object a is 0.4, and the first threshold is 0.3; the second ratio is a specific value, for example, the second ratio of the target object a is 0.5, and the second threshold is 0.4; and when at least one condition that the first ratio is greater than or equal to the first threshold or the second ratio is greater than or equal to the second threshold is met, increasing the total target display times of the target object in the next set period. For example, the first ratio of the target object a is greater than a first threshold; or the second ratio of the target object A is greater than a second threshold; or the first ratio of the target object a is greater than the first threshold, and the second ratio of the target object a is greater than the second threshold, and in the next 24 hours, the target display times of the target object a are increased 200 times, that is, the total target display times of the target object a is increased 1700 times.
And secondly, in response to the first ratio being smaller than a first threshold value and/or the second ratio being smaller than a second threshold value, reducing the total target display times of the target object in the next set period.
Assuming that the first ratio is a specific value, for example, the first ratio of the target object a is 0.4, and the first threshold is 0.5; the second ratio is a specific value, for example, the second ratio of the target object a is 0.5, and the second threshold is 0.6; and when at least one condition that the first ratio is smaller than the first threshold value or the second ratio is smaller than the second threshold value is met, reducing the total target display times of the target object in the next set period. For example, the first ratio of the target object a is less than a first threshold; or the second ratio of the target object A is smaller than a second threshold value; or the first ratio of the target object a is smaller than the first threshold, and the second ratio of the target object a is smaller than the second threshold, and in the next 24 hours, the target display times of the target object a are reduced by 200 times, that is, the total target display times of the target object a are reduced by 1300 times.
In the current period, after the displayed times of the target object reach the preset target display times, determining historical data of the target object within the time when the displayed times reach the preset target display times; analyzing historical data of the target object within the time when the displayed times reach the preset target display times, and determining the target display times of the next release; and adjusting the target display times of the next release.
Specifically, based on the target display times, the target object is randomly placed at any position in the object list before the set ranking, that is, in response to that the target display times are not zero, the set ranking in the object list is divided into at least two ranges, and the target object is randomly placed at any position in any one of the two ranges. When the displayed target display times reach a preset threshold range, respectively determining the local exposure rate of the target object and/or the local order number of the target object in the two ranges; and determining the next threshold range according to the local exposure rate and/or the local order number, wherein the target display times are the release number in the two ranges, and in the next threshold range, the release of the target display times is increased in a certain range with higher local exposure rate and/or larger local order number.
For example, in response to that the number of target presentations is not zero, which is 1320 times in the above embodiment, after receiving a recall request from the user terminal, the target object is randomly placed in any position in the object list before 100, for example, the target object a is placed in the 11 th, 81 th and 76 th positions of the object list, and one position is selected for placement each time. For example, the target object is a "spicy incense pot", hot and spicy life is placed in the 9 th business category table, and when the user terminal receives and displays the object list, the user terminal displays the "spicy incense pot" in the 9 th business category table, specifically, as shown in fig. 4, when the user inputs "lunch" in the search box, 10 businesses are simultaneously displayed on the user terminal interface at the first time, the 9 th business category is a "spicy incense pot", and the "more" option is clicked, and other businesses in the business category can be continuously displayed in sequence, the object list is shown in table 1, since 100 businesses are inconvenient to display, 20 businesses are taken as an example in table 1, except for the 9 th object "spicy incense pot", other businesses are represented in the form of businesses and numbers, such as business 1, business 2, and the like, and table 1 is specifically as follows:
TABLE 1
In a specific embodiment, when the location of the merchant is determined by a machine learning method, the top 100 names can be further divided into three sections, the first section is the top 30 names, the second section is the middle 40 names, and the third section is the last 30 names, and the target object is randomly placed in any position of any one of the three sections of the ranking. After the target display times are reached, for example, 200 target display times, determining a section with a better conversion rate in the three-section ranking, and in the subsequent random delivery, improving the target display times of the target object in the section ranking; assuming that, of 200 target display times, 70 target display times are dropped in the first segment, 70 target display times are dropped in the second segment, and 60 target display times are dropped in the third segment, after the dropping of the above-mentioned 200 target display times is finished, the conversion rate of each segment is determined, if the conversion rate of the second segment is better, the target display times dropped in the second segment is increased, for example, 20 times are added in the next 200 target display times, the conversion rate of the third segment is poorer, and in the next 200 target display times, the display times dropped in the second segment is reduced, for example, 20 times are reduced, that is, in the next 200 target display times, the target display times dropped in the first segment are 70 target display times, the target display times dropped in the second segment are 90 target display times, and the target display times dropped in the third segment are 40 target display times dropped in the next 200 target display times .
And S102, based on the target display times, randomly placing the target object at any position in each ranking range of the object list.
Specifically, in response to that the target display frequency is not zero, the target object is randomly placed at any position in each ranking range of the object list, and the target display frequency is updated.
For example, each time the target object is randomly placed at any position before the set ranking in the object list, the number of target display times is reduced by at least 1 time, for example, in the above embodiment, the number of target display times is 1320, and after the reduction of 1 time, the number of target display times is updated to 1319 times.
Fig. 5 is an application scenario diagram of a second embodiment of the present invention, in which a server or a takeout platform determines a total target display frequency of a target object in advance, and then, in response to a current period starting, obtains an available display frequency of the target object in the current period; analyzing the historical data of the target object in the previous period of the current period and/or the current period, and determining the target display times of the target object in at least two ranking ranges of an object list in the current period; and randomly placing the target object at any position in each ranking range of each section of the object list based on the target display times. In a set period, the target object is placed at any position in the object list before the set ranking, and the position is dynamically adjusted until the preset target display times are reached, so that the display times of the target object are ensured, and the accuracy and the flexibility of the object sequencing in the object list are improved.
Fig. 6 is a schematic diagram of a data processing apparatus according to a third embodiment of the present invention. As shown in fig. 6, the apparatus of the present embodiment includes an acquisition unit 61, a determination unit 62, and a processing unit 63.
The determining unit 61 is configured to respond to the starting of the current period, and acquire the available display times of the target object in the current period; a determining unit 62, configured to analyze historical data of the target object in a previous cycle of the current cycle and/or the current cycle, and determine the number of times of displaying the target object in at least two ranking ranges of an object list in the current cycle; and the processing unit 63 is configured to randomly place the target object at any position in each ranking range of the object list based on the target display times.
Further, the processing unit 63 is specifically configured to: responding to the target display times not being zero, and randomly placing the target object at any position in each ranking range of the object list; and updating the target display times.
Further, the current period is started as the time reaches the preset time, or the available display times of the last period of the current period is zero.
Further, the at least two ranking ranges are at least two ranking ranges before the set ranking in the object list.
Further, the determining unit 62 is specifically configured to: acquiring historical data of the target object in the previous period; analyzing the historical data in the previous period, and determining the target display times of the target object in at least two ranking ranges of the object list in the current period; and adjusting the target display times of the current period.
Further, the determining unit 62 is specifically configured to: in the current period, after the displayed times of the target object reach the preset target display times, determining historical data of the target object within the time when the displayed times reach the preset target display times; analyzing historical data of the target object within the time when the displayed times reach the preset target display times, and determining the target display times of the next release; and adjusting the target display times of the next release.
Fig. 7 is a schematic view of an electronic apparatus according to a fourth embodiment of the present invention. In this embodiment, the electronic device is a server. It should be understood that other electronic devices, such as raspberry pies, are also possible. As shown in fig. 7, the electronic device: includes at least one processor 701; and, a memory 702 communicatively coupled to the at least one processor 701; and a communication component 703 communicatively coupled to the scanning device, the communication component 703 receiving and transmitting data under the control of the processor 701; wherein the memory 702 stores instructions executable by the at least one processor 701 to perform, by the at least one processor 701, the steps of: responding to the starting of the current period, and acquiring the available display times of the target object in the current period; analyzing the historical data of the target object in the previous period of the current period and/or the current period, and determining the target display times of the target object in at least two ranking ranges of an object list in the current period; and randomly placing the target object at any position in each ranking range of each section of the object list based on the target display times.
Further, the processor performs the steps of: responding to the target display times not being zero, and randomly placing the target object at any position in each ranking range of the object list; and updating the target display times.
Further, the current period is started as the time reaches the preset time, or the available display times of the last period of the current period is zero.
Further, the at least two ranking ranges are at least two ranking ranges before the set ranking in the object list.
Further, the processor specifically executes the following steps: acquiring historical data of the target object in the previous period; analyzing the historical data in the previous period, and determining the target display times of the target object in at least two ranking ranges of the object list in the current period; and adjusting the target display times of the current period.
Further, the processor specifically executes the following steps: in the current period, after the displayed times of the target object reach the preset target display times, determining historical data of the target object within the time when the displayed times reach the preset target display times; analyzing historical data of the target object within the time when the displayed times reach the preset target display times, and determining the target display times of the next release; and adjusting the target display times of the next release.
Specifically, the electronic device includes: one or more processors 701 and a memory 702, one processor 701 being illustrated in fig. 7. The processor 701 and the memory 702 may be connected by a bus or by other means, and fig. 7 illustrates an example of a bus connection. Memory 702, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 701 executes various functional applications of the device and data processing, i.e., implements the above-described data processing method, by executing nonvolatile software programs, instructions, and modules stored in the memory 702.
The memory 702 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store a list of options, etc. Further, the memory 702 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 non-volatile solid state storage device. In some embodiments, the memory 702 may optionally include memory located remotely from the processor 701, which may be connected to an external device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 702, and when executed by the one or more processors 701, perform the method of data processing in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the application, has corresponding functional modules and beneficial effects of the execution method, and can refer to the method provided by the embodiment of the application without detailed technical details in the embodiment.
A fifth embodiment of the invention is directed to a non-volatile storage medium storing a computer-readable program for causing a computer to perform some or all of the above-described method embodiments.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific embodiments for practicing the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (14)
1. A method of data processing, the method comprising:
responding to the starting of the current period, and acquiring the available display times of the target object in the current period;
analyzing historical data of the target object in the previous period of the current period and/or the current period, and determining the target display times of the target object in at least two ranking ranges of an object list in the current period, wherein each ranking range is provided with the target display times in a set proportion;
and randomly placing the target object at any position of at least one section of the ranking range in an object list based on the target display times of the set proportion set by each section of the ranking range.
2. The method according to claim 1, wherein the randomly placing the target object at any position of at least one of the ranking ranges in the object list based on the target showing times of the set proportion set by each ranking range comprises:
responding to the target display times not being zero, and randomly placing the target object at any position in each ranking range of the object list;
and updating the target display times.
3. The method of claim 1, wherein the current period is turned on as a time reaching a preset time or the number of available presentations of a previous period of the current period is zero.
4. The method of claim 1, wherein the at least two segments of the ranking range are at least two segments of the ranking range before the set ranking in the object list.
5. The method according to claim 1, wherein analyzing historical data of the target object in a previous cycle of the current cycle and/or the current cycle, and determining the number of times the target object is displayed in at least two ranking ranges of an object list in the current cycle specifically comprises:
acquiring historical data of the target object in the previous period;
analyzing the historical data in the previous period, and determining the target display times of the target object in at least two ranking ranges of the object list in the current period;
and adjusting the target display times of the current period.
6. The method according to claim 1, wherein analyzing historical data of the target object in a previous cycle of the current cycle and/or the current cycle, and determining the number of times the target object is displayed in at least two ranking ranges of an object list in the current cycle specifically comprises:
in the current period, after the displayed times of the target object reach the preset target display times, determining historical data of the target object within the time when the displayed times reach the preset target display times;
analyzing historical data of the target object within the time when the displayed times reach the preset target display times, and determining the target display times of the next release;
and adjusting the target display times of the next release.
7. An apparatus for data processing, the apparatus comprising:
the acquisition unit is used for responding to the opening of the current period and acquiring the available display times of the target object in the current period;
the determining unit is used for analyzing historical data of the target object in the last period of the current period and/or the current period and determining the target display times of the target object in at least two ranking ranges of an object list in the current period, wherein each ranking range is provided with the target display times in a set proportion;
and the processing unit is used for randomly placing the target object at any position of at least one section of the ranking range in the object list based on the target display times of the set proportion set in each section of the ranking range.
8. A computer-readable storage medium on which computer program instructions are stored, which, when executed by a processor, implement the method of any one of claims 1-6.
9. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to perform the steps of:
responding to the starting of the current period, and acquiring the available display times of the target object in the current period;
analyzing historical data of the target object in the previous period of the current period and/or the current period, and determining the target display times of the target object in at least two ranking ranges of an object list in the current period, wherein each ranking range is provided with the target display times in a set proportion;
and randomly placing the target object at any position of at least one section of the ranking range in an object list based on the target display times of the set proportion set by each section of the ranking range.
10. The electronic device of claim 9, wherein the processor is further configured to perform the steps of:
responding to the target display times not being zero, and randomly placing the target object at any position in each ranking range of the object list;
and updating the target display times.
11. The electronic device of claim 9, wherein the current cycle is turned on as a time reaching a preset time or a number of available presentations of a previous cycle of the current cycle is zero.
12. The electronic device of claim 9, wherein the at least two segments of the ranking range are at least two segments of the ranking range before the set ranking in the object list.
13. The electronic device of claim 9, wherein the processor is further configured to perform the steps of:
acquiring historical data of the target object in the previous period;
analyzing the historical data in the previous period, and determining the target display times of the target object in at least two ranking ranges of the object list in the current period;
and adjusting the target display times of the current period.
14. The electronic device of claim 9, wherein the processor is further configured to perform the steps of:
in the current period, after the displayed times of the target object reach the preset target display times, determining historical data of the target object within the time when the displayed times reach the preset target display times;
analyzing historical data of the target object within the time when the displayed times reach the preset target display times, and determining the target display times of the next release;
and adjusting the target display times of the next release.
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| CN112822281B (en) * | 2021-01-21 | 2022-08-12 | 中国平安人寿保险股份有限公司 | Flow distribution method and device, terminal equipment and computer readable storage medium |
| CN113724015A (en) * | 2021-09-07 | 2021-11-30 | 北京沃东天骏信息技术有限公司 | Method and device for determining target display page, electronic equipment and storage medium |
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