CN115695544A - Information pushing method and device, electronic equipment and storage medium - Google Patents

Information pushing method and device, electronic equipment and storage medium Download PDF

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CN115695544A
CN115695544A CN202211182793.4A CN202211182793A CN115695544A CN 115695544 A CN115695544 A CN 115695544A CN 202211182793 A CN202211182793 A CN 202211182793A CN 115695544 A CN115695544 A CN 115695544A
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information
processed
pushing
determining
strategy
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陈林
张敏
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China Construction Bank Corp
CCB Finetech Co Ltd
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China Construction Bank Corp
CCB Finetech Co Ltd
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Abstract

The disclosure relates to an information pushing method, an information pushing device, electronic equipment and a storage medium, and belongs to the technical field of big data intelligent analysis, wherein the method comprises the following steps: determining the information participation degree of an object to be processed to information under a specified service scene; determining an adjustment strategy of an information push strategy corresponding to a specified service scene according to the information participation; adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed under the appointed service scene; and carrying out information pushing processing on the object to be processed under the appointed service scene according to the first information pushing strategy. Therefore, the information pushing strategy corresponding to the object to be processed under the appointed service scene is adjusted in a personalized mode according to the information participation degree of the object to be processed, the information pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and therefore an efficient information pushing closed loop is formed.

Description

Information pushing method and device, electronic equipment and storage medium
Technical Field
The disclosure relates to the technical field of big data intelligent analysis, and in particular relates to an information pushing method and device, an electronic device and a storage medium.
Background
Currently, a launch condition or a share condition is set for information to be pushed, such as a link of a questionnaire; the link is dropped or shared to a particular object that satisfies the condition. In the above scheme, the releasing or sharing range is wide, the cost is high, the precision is low, and the information pushing efficiency is poor.
Disclosure of Invention
The present disclosure provides an information pushing method, an information pushing device, an electronic device, and a storage medium, so as to at least solve the problem in the related art that the survey cost is high, the accuracy of putting or sharing is low, and the low-value survey results are too many. The technical scheme of the disclosure is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided an information pushing method, including: determining the information participation degree of an object to be processed to information under a specified service scene; determining an adjustment strategy of an information pushing strategy corresponding to the specified service scene according to the information participation degree; adjusting the information pushing strategy according to the adjustment strategy to obtain a first information pushing strategy corresponding to the object to be processed under the appointed service scene; and carrying out information pushing processing on the object to be processed under the appointed service scene according to the first information pushing strategy.
According to a second aspect of the embodiments of the present disclosure, there is provided an information pushing apparatus including: the first determining module is used for determining the information participation degree of the object to be processed to the information under the appointed service scene; the second determining module is used for determining an adjusting strategy of an information pushing strategy corresponding to the specified service scene according to the information participation degree; the adjusting module is used for adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed under the appointed service scene; and the processing module is used for pushing the information of the object to be processed under the appointed service scene according to the first information pushing strategy.
According to a third aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the information push method as described above.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a storage medium, wherein when instructions of the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the information push method as described above.
According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor of an electronic device, enables the electronic device to perform the information pushing method as described above.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
determining the information participation degree of an object to be processed on information in a specified service scene; determining an adjustment strategy of an information push strategy corresponding to a specified service scene according to the information participation; adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed in the appointed service scene; and carrying out information push processing under a specified service scene on the object to be processed according to the first information push strategy. Therefore, the information pushing strategy corresponding to the object to be processed under the condition of the appointed service scene is adjusted in a personalized mode according to the information participation degree of the object to be processed, the information pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and therefore an efficient information pushing closed loop is formed.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
Fig. 1 is a flowchart illustrating an information push method according to a first embodiment of the present disclosure;
fig. 2 is a flowchart illustrating yet another information pushing method according to a second embodiment of the present disclosure;
fig. 3 is a flowchart illustrating yet another information pushing method according to a third embodiment of the present disclosure;
FIG. 4 is a flowchart of an information push method;
fig. 5 is a schematic structural diagram of an information pushing apparatus according to a third embodiment of the present disclosure;
fig. 6 is a block diagram of an electronic device that performs an information push method.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
In the technical scheme of the disclosure, the related processing of data acquisition, storage, use, processing and the like all accord with relevant regulations of national laws and regulations, and do not violate public order and customs.
Currently, a launch condition or a share condition is set for information to be pushed, such as a link of a questionnaire; the link is dropped or shared to a particular object that satisfies the condition. In the above scheme, the range of putting in or sharing is wide, the cost is high, the precision is low, and the information push efficiency is poor.
In order to solve the problems that survey results with low value and low value are too many due to high survey cost and low putting or sharing accuracy in the related technology, the information pushing method is provided, and information participation of an object to be processed on information in a specified service scene is determined; determining an adjustment strategy of an information pushing strategy corresponding to a specified service scene according to the information participation; adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed in the appointed service scene; and carrying out information pushing processing on the object to be processed under the appointed service scene according to the first information pushing strategy. Therefore, the information pushing strategy corresponding to the object to be processed under the appointed service scene is adjusted in a personalized mode according to the information participation degree of the object to be processed, the information pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and therefore an efficient information pushing closed loop is formed.
Fig. 1 is a flowchart illustrating an information pushing method according to a first embodiment of the present disclosure, and as shown in fig. 1, the method includes the following steps.
In step 101, the information participation of the object to be processed to the information in the designated service scene is determined.
The execution subject of the information push method of the present disclosure is the information push apparatus. The information pushing method of the embodiment of the disclosure may be executed by the information pushing apparatus of the embodiment of the disclosure, and the information pushing apparatus of the embodiment of the disclosure may be configured in any electronic device, or any software on any electronic device, to execute the information pushing method of the embodiment of the disclosure.
The service scenario may be a service scenario provided by a bank client, such as transfer, payment, life payment, balance inquiry, and admission record inquiry, and the information is target information that needs to be acquired for product promotion in a specific service scenario.
The questionnaire types comprise numerical value questionnaires, selection questionnaires, text questionnaires and the like, and can be selected according to a specified service scene or selected by a user. The design logic of the questionnaire questions can select the jump question logic, the display logic and the like, and can also select the custom logic, and the design logic is not particularly limited herein.
In the embodiment of the present disclosure, the information pushing device may obtain the object to be processed and the information in the specified service scenario through an APP, an intelligent terminal, a personal computer, and the like, and the process of the information pushing device executing step 101 may be, for example, determining a history feedback record of the object to be processed on the information in the specified service scenario; determining the feedback times and the total number of information pushes of the object to be processed under the appointed service scene according to the historical feedback record; and determining the information participation degree of the object to be processed to the information under the appointed service scene according to the feedback times and the total number of information push.
Specifically, the information participation degree is a ratio of the feedback times to the total number of information pushes, and the historical feedback record may be selected within one month or within one year, which is not specifically limited herein.
In step 102, an adjustment policy for an information push policy corresponding to a specified service scenario is determined according to the information participation.
In the embodiment of the present disclosure, specifying an information push policy corresponding to a service scenario includes: and (4) information push probability.
Further, determining an adjustment policy of an information push policy corresponding to a specified service scenario according to the information participation degree, including: determining a probability adjustment strategy aiming at the information push probability according to the information participation degree; and determining the probability adjustment strategy as an adjustment strategy aiming at the information push strategy.
Further, assuming that the current information push probability is P and the user engagement degree is x, the adjusted information push probability is calculated according to an adjustment function ρ (x), and the formula of the adjustment function is as in formula (1):
Figure BDA0003867491710000041
wherein, the formula (1) alpha represents the adjustment intensity parameter, beta represents the demarcation point parameter, alpha>0,0<β<Specific values of 1, α, β may be preset. Adjusting the function rho (x) as an activation function, and pushing the overall information into the profileThe rate P is mapped between 0 and 1, and the adjusted information push probability is obtained as follows: p is * ρ (x) × P. Here, the adjusting function is a probability adjusting strategy for the information push probability.
In an embodiment of the present disclosure, the information pushing policy includes: information push conditions, information push limitation conditions, information push types, and the like. The information pushing conditions include, for example, information pushing probability and the like; information push limitation conditions such as daily information push upper limit and the like; the information push type includes, for example, a WeChat push type, a short message push type, an advertisement push type, and the like.
In some embodiments of the present disclosure, when the information push limitation condition in the information push policy corresponding to the specified service scenario includes an upper daily information push limit, determining, according to the information participation degree, an adjustment policy for the information push policy corresponding to the specified service scenario, including: determining an adjustment strategy aiming at the daily information push upper limit according to the information participation and the daily information push upper limit; and determining the adjustment strategy of the daily information push upper limit as an adjustment strategy aiming at the information push strategy.
Further, if the information participation degree of the object to be processed is higher, the daily information push upper limit of the object to be processed is improved; and if the information participation degree of the object to be processed is low, reducing the daily information push upper limit of the object to be processed.
In step 103, the information pushing policy is adjusted according to the adjustment policy, so as to obtain a first information pushing policy corresponding to the object to be processed in the specified service scenario.
In this disclosure, when the information pushing policy corresponding to the specified service scenario includes the information pushing probability, adjusting the information pushing policy according to the adjustment policy to obtain a first information pushing policy corresponding to the object to be processed in the specified service scenario, including: and based on the adjusted information pushing probability, taking the adjusted information pushing probability as the information pushing probability in the first information pushing strategy.
In some embodiments of the present disclosure, when the information push limitation condition in the information push policy corresponding to the specified service scenario includes an upper limit of information push per day, adjusting the information push policy according to an adjustment policy to obtain a first information push policy corresponding to an object to be processed in the specified service scenario, including: and based on the adjusted daily information pushing upper limit, taking the adjusted daily information pushing upper limit as the daily information pushing upper limit in the first information pushing strategy.
In step 104, according to the first information pushing policy, pushing processing of information under a specified service scene is performed on the object to be processed.
In this disclosure, when the information pushing policy corresponding to the specified service scenario includes the information pushing probability, according to the first information pushing policy, the process of performing, on the object to be processed, pushing processing of information in the specified service scenario may be: if the current information pushing probability is smaller than or equal to the adjusted information pushing probability, determining that the first information pushing strategy is information pushing, determining that the information pushing is required according to the first information pushing strategy, and pushing candidate information to the object to be processed; and if the current information pushing probability is larger than the adjusted information pushing probability, determining that the first information pushing strategy is not used for information pushing, determining that the information pushing is not needed according to the first information pushing strategy, and stopping pushing the candidate information to the object to be processed.
In some embodiments of the present disclosure, when the information push policy corresponding to the specified service scenario includes an upper limit of information push per day in the information push restriction condition, according to the first information push policy, the process of performing, on the object to be processed, information push processing in the specified service scenario may further be: if the total information pushing quantity of the current day is smaller than or equal to the adjusted daily information pushing upper limit, determining that a first information pushing strategy is information pushing, determining that the information pushing is required according to the first information pushing strategy, and pushing candidate information to the object to be processed; and if the total information pushing quantity of the current day is larger than the adjusted information pushing upper limit of each day, determining that the first information pushing strategy is not used for information pushing, determining that the information pushing is not needed according to the first information pushing strategy, and stopping pushing the candidate information to the object to be processed.
In the embodiment of the disclosure, after the candidate information is determined to be pushed to the object to be processed, the information pushing type of the candidate information is determined according to the first information pushing strategy, and the candidate information is pushed to the object to be processed in a mode of WeChat pushing, short message pushing or advertisement pushing.
Further, after the candidate information is pushed to the object to be processed, the information feedback of the object to be processed is received, the information participation degree of the object to be processed is improved, the information pushing probability is further improved, and therefore an efficient information pushing closed loop is formed.
In conclusion, the information participation degree of the object to be processed to the information in the appointed service scene is determined; determining an adjustment strategy of an information pushing strategy corresponding to a specified service scene according to the information participation; adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed in the appointed service scene; and carrying out information push processing under a specified service scene on the object to be processed according to the first information push strategy. Therefore, the information pushing strategy corresponding to the object to be processed under the condition of the appointed service scene is adjusted in a personalized mode according to the information participation degree of the object to be processed, the information pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and therefore an efficient information pushing closed loop is formed.
In order to further improve the information pushing efficiency, the information pushing processing under the appointed service scene is carried out on the object to be processed according to the activity degree of the object to be processed. As shown in fig. 2, fig. 2 is a flowchart of another information pushing method according to a second embodiment of the present disclosure, and the specific implementation process is as follows:
in step 201, the information participation degree of the object to be processed to the information in the designated service scene is determined.
In step 202, an adjustment policy of an information push policy corresponding to a specified service scenario is determined according to the information participation degree.
In step 203, the information pushing policy is adjusted according to the adjustment policy, so as to obtain a first information pushing policy corresponding to the object to be processed in the specified service scene.
In step 204, a status of the object to be processed is determined, wherein the status indicates an activity level of the object to be processed.
In the embodiment of the disclosure, determining a feedback record of the object to be processed on a plurality of pushed continuous information; when the feedback records with continuous first amount of information indicate no feedback, determining that the state is an inactive state; and when no feedback records with continuous first amount of information indicate no feedback, determining the state as the active state.
Further, assuming that the first quantity of information is N, the sleep time is M days, candidate information is pushed to the object to be processed, if the user does not feed back, the number of records which are not fed back is increased by one, and when the number of records which are not fed back is more than N, the state of the object to be processed is determined to be in an inactive state; and if the user feeds back, resetting the non-feedback record, and determining that the state of the object to be processed is an active state. Wherein, N and M are positive integers.
Further, if the state of the object to be processed is in the inactive state, the object to be processed immediately starts sleeping for M days, or starts sleeping for M days after a period of time.
In step 205, when the state of the object to be processed is an inactive state and the current time point is in the sleep time period of the object to be processed, the pushing processing of the information in the specified service scene on the object to be processed is stopped.
In step 206, when the state of the object to be processed is active or in an inactive state and the current time point is not in the sleep time period of the object to be processed, pushing information of the object to be processed in the specified service scene according to the first information pushing policy.
In an embodiment of the present disclosure, when the state is an active state, pushing processing of information in a specified service scene is performed on an object to be processed.
In another embodiment of the present disclosure, when the state is an inactive state and the current time point is not located in the sleep time period of the object to be processed, the pushing processing of the information in the specified service scene on the object to be processed is stopped within the second time; and after the second time is finished, pushing information under the appointed service scene to the object to be processed. Wherein the second time is less than the sleep time.
It should be noted that, the detailed descriptions of steps 201, 202, and 203 may refer to the descriptions in other embodiments in the present disclosure, and are not described in detail here.
In conclusion, the information participation degree of the object to be processed to the information in the appointed service scene is determined; determining an adjustment strategy of an information pushing strategy corresponding to a specified service scene according to the information participation; adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed in the appointed service scene; determining the state of the object to be processed, wherein the state indicates the activity degree of the object to be processed; when the object to be processed meets the following conditions, stopping pushing information under a specified service scene on the object to be processed; and when the object to be processed meets any one of the following conditions, performing information push processing on the object to be processed under the appointed service scene according to the first information push strategy. Therefore, whether to push candidate information to the object to be processed is determined by judging the state of the object to be processed, the pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and therefore an efficient information pushing closed loop is formed.
In order to further explain how to push information to the object to be processed according to the information push probability, the present disclosure proposes yet another information push method.
Fig. 3 is a flowchart illustrating still another information pushing method according to a third embodiment of the disclosure. As shown in fig. 3, the specific implementation process is as follows:
in step 301, the information participation degree of the object to be processed to the information in the designated service scene is determined.
In step 302, an adjustment policy for an information push policy corresponding to a specified service scenario is determined according to the information participation.
In step 303, the information pushing policy is adjusted according to the adjustment policy, so as to obtain a first information pushing policy corresponding to the object to be processed in the specified service scene.
In step 304, candidate information under a specified business scenario is determined.
In step 305, a random number is generated for the candidate information.
In step 306, the ratio of the random number to the specified number is determined as the random probability.
In the disclosed embodiment, assuming a random number a, the specified number is 100, and the random probability is a/100.
In step 307, when the random probability is less than or equal to the information pushing probability in the first information pushing strategy, the candidate information is pushed to the object to be processed.
In the embodiment of the disclosure, the random probability a/100 is compared with the adjusted information push probability P, and if the random probability a/100 is less than or equal to the adjusted information push probability P, the candidate information is pushed to the object to be processed.
In step 308, when the random probability is greater than the information pushing probability in the first information pushing strategy, the pushing of the candidate information to the object to be processed is stopped.
In the embodiment of the present disclosure, the random probability a/100 is compared with the adjusted information push probability P, and if the random probability a/100 is greater than the adjusted information push probability P, the candidate information is stopped being pushed to the object to be processed.
It should be noted that, the detailed descriptions of steps 301, 302, and 303 may refer to the descriptions in other embodiments in the present disclosure, and are not described in detail here.
In conclusion, the information participation degree of the object to be processed to the information in the appointed service scene is determined; determining an adjustment strategy of an information pushing strategy corresponding to a specified service scene according to the information participation; adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed in the appointed service scene; determining candidate information under a specified service scene; generating a random number for the candidate information; determining the ratio of the random number to the designated number as random probability; when the random probability is smaller than or equal to the information pushing probability in the first information pushing strategy, pushing candidate information to the object to be processed; and stopping pushing the candidate information to the object to be processed when the random probability is greater than the information pushing probability in the first information pushing strategy. Therefore, the information pushing strategy corresponding to the object to be processed under the condition of the appointed service scene is adjusted in a personalized mode according to the information participation degree of the object to be processed, the information pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and therefore an efficient information pushing closed loop is formed.
In order to more clearly illustrate the above embodiments, the description will now be made by way of example.
For example, fig. 4 is a flowchart of an information pushing method.
In fig. 4, in a first step, a specific business scenario questionnaire is triggered (information under a specific business scenario is determined).
Secondly, determining whether a service scene exists (determining whether a specified service scene exists), and if so, performing a third step; and if the information does not exist, ending the information push.
Step three, determining whether the current information push probability is within the trigger probability (information push probability), and if so, performing the step four; if not, the information pushing is finished.
Fourthly, determining whether the daily information pushing times is in the range of the daily questionnaire upper limit (daily information pushing upper limit), and if so, performing the fifth step; if not, the information pushing is ended.
Fifthly, determining whether the object to be processed is an active user, and if so, performing the sixth step; if not, the information pushing is finished.
Sixthly, determining whether the adaptive adjustment of the user participation degree is within the trigger probability (determining whether the random probability of the candidate push information is within the adjusted information push probability), and if so, performing the seventh step; if not, the information pushing is ended.
Step seven, determining whether a WeChat questionnaire is triggered (WeChat push), and if so, filling the WeChat questionnaire by a user; if not, the user fills in a short message questionnaire (short message push).
And an eighth step of performing questionnaire collection (information collection).
And step nine, adjusting the user participation (information participation).
And step ten, finishing information pushing.
In conclusion, the information of the object to be processed in the designated service scene is determined; judging whether a service scene exists or not; judging whether the daily information pushing times reaches the daily information pushing upper limit or not; determining the state of an object to be processed; determining whether the random probability of the candidate push information is within the adjusted information push probability; pushing information to the user according to the user participation type; after the pushing is finished, the information participation degree is adjusted according to the information under the appointed service scene responded by the object to be processed, so that the pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and an efficient information pushing closed loop is formed.
In order to implement the foregoing embodiment, an information pushing apparatus is provided in the embodiments of the present disclosure.
Fig. 5 is a schematic structural diagram of an information pushing apparatus according to a third embodiment of the present disclosure, and referring to fig. 5, the information pushing apparatus 500 may include: a first determination module 510, a second determination module 520, an adjustment module 530, and a processing module 540.
The first determining module 510 is configured to determine information participation of the object to be processed on information in the specified service scene.
A second determining module 520, configured to determine, according to the information participation degree, an adjustment policy of an information pushing policy corresponding to the specified service scenario.
An adjusting module 530, configured to perform adjustment processing on the information pushing policy according to the adjusting policy, to obtain a first information pushing policy corresponding to the object to be processed in the specified service scenario.
The processing module 540 is configured to perform, according to the first information pushing policy, pushing processing of information in the specified service scenario on the object to be processed.
As a possible implementation manner of the embodiment of the present disclosure, the first determining module 510 is specifically configured to determine a historical feedback record of the object to be processed on the information in the specified service scenario; determining the feedback times and the total information push quantity of the object to be processed under the specified service scene according to the historical feedback record; and determining the information participation degree of the object to be processed to the information under the specified service scene according to the feedback times and the total information push quantity.
As a possible implementation manner of the embodiment of the present disclosure, the information pushing policy corresponding to the specified service scenario includes: information push probability; the second determining module 520 is specifically configured to adjust the information pushing probability according to the information participation degree, so as to obtain an adjusted information pushing probability; and determining the first information pushing strategy according to the adjusted information pushing probability.
As a possible implementation manner of the embodiment of the present disclosure, the processing module 540 is specifically configured to determine candidate information in the specified service scenario; generating a random number for the candidate information; determining the ratio of the random number to the designated number as random probability; when the random probability is smaller than or equal to the information pushing probability in the first information pushing strategy, the candidate information is pushed to the object to be processed; and stopping pushing the candidate information to the object to be processed when the random probability is greater than the information pushing probability in the first information pushing strategy.
As a possible implementation manner of the embodiment of the present disclosure, the processing module 540 is further configured to determine a status of the object to be processed, where the status indicates an activity level of the object to be processed; stopping the information pushing processing under the appointed service scene on the object to be processed when the object to be processed meets the following conditions: the state is an inactive state, and the current time point is located in the sleep time period of the object to be processed.
As a possible implementation manner of the embodiment of the present disclosure, the processing module 540 includes: a processing unit; the processing unit is configured to perform, according to the first information pushing policy, information pushing processing on the object to be processed in the specified service scenario when the object to be processed meets any one of the following conditions: the state is an active state; the state is an inactive state, and the current time point is not located in the sleep time period of the object to be processed.
As a possible implementation manner of the embodiment of the present disclosure, the processing module 540 is specifically configured to determine a feedback record of the object to be processed on multiple pieces of pushed continuous information; when the feedback records with continuous first amount of information indicate no feedback, determining that the state is an inactive state; determining the state as an active state when no feedback records with continuous first amount of information indicate no feedback.
The information pushing device of the embodiment determines the information participation degree of the object to be processed to the information in the appointed service scene; determining an adjustment strategy of an information push strategy corresponding to a specified service scene according to the information participation; adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed in the appointed service scene; and carrying out information push processing under a specified service scene on the object to be processed according to the first information push strategy. Therefore, the information pushing strategy corresponding to the object to be processed under the appointed service scene is adjusted in a personalized mode according to the information participation degree of the object to be processed, the information pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and therefore an efficient information pushing closed loop is formed.
Fig. 6 is a block diagram of an electronic device that performs an information push method.
As shown in fig. 6, the electronic device 600 includes:
a memory 610 and a processor 620, a bus 630 connecting different components (including the memory 610 and the processor 620), wherein the memory 610 stores computer programs, and when the processor 620 executes the programs, the information pushing method according to the embodiment of the disclosure is implemented.
Bus 630 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 600 typically includes a variety of electronic device readable media. Such media may be any available media that is accessible by electronic device 600 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 610 may also include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 640 and/or cache memory 650. The electronic device 600 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 660 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, and commonly referred to as a "hard disk drive"). Although not shown in FIG. 6, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 630 by one or more data media interfaces. Memory 610 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the disclosure.
A program/utility 680 having a set (at least one) of program modules 670 may be stored, for example, in memory 610. Such program modules 670 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination of which may comprise an implementation of a network environment. The program modules 670 generally perform the functions and/or methods of the embodiments described in this disclosure.
The electronic device 600 may also communicate with one or more external devices 690 (e.g., keyboard, pointing device, display 691, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may be through input/output (I/O) interfaces 692. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 693. As shown in FIG. 6, the network adapter 693 communicates with the other modules of the electronic device 600 over a bus 630. It should be appreciated that although not shown in FIG. 6, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor 620 executes various functional applications and data processing by executing programs stored in the memory 610.
It should be noted that, for the implementation process and the technical principle of the electronic device of the embodiment, reference is made to the foregoing explanation of the information pushing method of the embodiment of the present disclosure, and details are not described here again.
The electronic device provided by the embodiment of the present disclosure may execute the information pushing method as described above, and determine information participation of an object to be processed to information in a specified service scene; determining an adjustment strategy of an information pushing strategy corresponding to a specified service scene according to the information participation; adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed in the appointed service scene; and carrying out information pushing processing on the object to be processed under the appointed service scene according to the first information pushing strategy. Therefore, the information pushing strategy corresponding to the object to be processed under the condition of the appointed service scene is adjusted in a personalized mode according to the information participation degree of the object to be processed, the information pushing efficiency is improved, the information pushing cost is reduced, the information participation degree of the object to be processed can be updated after the information is pushed to the object to be processed, and therefore an efficient information pushing closed loop is formed.
In order to implement the above embodiments, the present disclosure also provides a storage medium.
Wherein the instructions in the storage medium, when executed by a processor of the electronic device, enable the electronic device to perform the information push method as described above.
In order to implement the above embodiments, the present disclosure also provides a computer program product comprising a computer program, which, when executed by a processor of an electronic device, enables the electronic device to perform the information pushing method as described above.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (17)

1. An information pushing method, comprising:
determining the information participation degree of an object to be processed to information under a specified service scene;
determining an adjustment strategy of an information pushing strategy corresponding to the specified service scene according to the information participation degree;
adjusting the information pushing strategy according to the adjustment strategy to obtain a first information pushing strategy corresponding to the object to be processed in the specified service scene;
and carrying out information pushing processing on the object to be processed under the appointed service scene according to the first information pushing strategy.
2. The method according to claim 1, wherein the determining the information participation degree of the object to be processed for the information in the specified service scene comprises:
determining the historical feedback record of the object to be processed on the information in the specified service scene;
determining the feedback times and the total information push quantity of the object to be processed under the specified service scene according to the historical feedback record;
and determining the information participation degree of the object to be processed to the information under the specified service scene according to the feedback times and the total information push quantity.
3. The method of claim 1, wherein the information pushing policy corresponding to the specified service scenario comprises: information push probability;
the determining an adjustment policy of an information pushing policy corresponding to the specified service scenario according to the information participation degree includes:
determining a probability adjustment strategy aiming at the information push probability according to the information participation degree;
and determining the probability adjustment strategy as an adjustment strategy aiming at the information push strategy.
4. The method according to claim 1, wherein the pushing, according to the first information pushing policy, information in the specified service scenario for the object to be processed includes:
determining candidate information under the specified service scene;
generating a random number for the candidate information;
determining the ratio of the random number to the designated number as random probability;
when the random probability is less than or equal to the information pushing probability in the first information pushing strategy, the candidate information is pushed to the object to be processed;
and when the random probability is greater than the information pushing probability in the first information pushing strategy, stopping pushing the candidate information to the object to be processed.
5. The method according to claim 1 or 4, before performing, according to the first information pushing policy, pushing processing of information in the specified service scenario on the object to be processed, further comprising:
determining a state of the object to be processed, wherein the state indicates an activity level of the object to be processed;
stopping the information pushing processing under the appointed service scene on the object to be processed when the object to be processed meets the following conditions:
the state is an inactive state, and the current time point is located in the sleep time period of the object to be processed.
6. The method according to claim 5, wherein the performing, according to the first information pushing policy, pushing information in the specified service scenario on the object to be processed includes:
when the object to be processed meets any one of the following conditions, performing information push processing on the object to be processed in the specified service scene according to the first information push strategy:
the state is an active state;
the state is an inactive state, and the current time point is not located in the sleep time period of the object to be processed.
7. The method of claim 5, wherein the determining the state of the object to be processed comprises:
determining a feedback record of the object to be processed on a plurality of pieces of pushed continuous information;
when the feedback records with continuous first amount of information indicate no feedback, determining that the state is an inactive state;
determining the state as an active state when no feedback records with continuous first amount of information indicate no feedback.
8. An information pushing apparatus, comprising:
the first determining module is used for determining the information participation degree of the object to be processed on the information in the appointed service scene;
the second determining module is used for determining an adjusting strategy of an information pushing strategy corresponding to the specified service scene according to the information participation degree;
the adjusting module is used for adjusting the information pushing strategy according to the adjusting strategy to obtain a first information pushing strategy corresponding to the object to be processed under the appointed service scene;
and the processing module is used for pushing the information of the object to be processed under the appointed service scene according to the first information pushing strategy.
9. The apparatus according to claim 8, characterized in that the first determination module is, in particular,
determining the historical feedback record of the object to be processed on the information in the specified service scene;
determining the feedback times and the total information push quantity of the object to be processed under the specified service scene according to the historical feedback record;
and determining the information participation degree of the object to be processed on the information under the appointed service scene according to the feedback times and the total information push quantity.
10. The apparatus of claim 8, wherein the information pushing policy corresponding to the specified service scenario comprises: information push probability;
the second determining means is, in particular,
determining a probability adjustment strategy aiming at the information push probability according to the information participation degree;
and determining the probability adjustment strategy as an adjustment strategy aiming at the information push strategy.
11. The device according to claim 8, characterized in that the processing module, in particular for,
determining candidate information under the specified service scene;
generating a random number for the candidate information;
determining the ratio of the random number to the designated number as random probability;
when the random probability is smaller than or equal to the information pushing probability in the first information pushing strategy, the candidate information is pushed to the object to be processed;
and when the random probability is greater than the information pushing probability in the first information pushing strategy, stopping pushing the candidate information to the object to be processed.
12. The apparatus of claim 8 or 11, wherein the processing module is further configured to,
determining a state of the object to be processed, wherein the state indicates an activity level of the object to be processed;
stopping the information pushing processing under the appointed service scene on the object to be processed when the object to be processed meets the following conditions:
the state is an inactive state, and the current time point is located in the sleep time period of the object to be processed.
13. The device according to claim 12, characterized in that the processing module, in particular for,
when the object to be processed meets any one of the following conditions, performing information push processing on the object to be processed in the specified service scene according to the first information push strategy:
the state is an active state;
the state is an inactive state, and the current time point is not located in the sleep time period of the object to be processed.
14. The apparatus according to claim 12, characterized in that the processing module, in particular for,
determining a feedback record of the object to be processed on a plurality of pieces of pushed continuous information;
when the feedback records with continuous first amount of information indicate no feedback, determining that the state is an inactive state;
determining the state as an active state when no feedback records with continuous first amount of information indicate no feedback.
15. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the information push method according to any one of claims 1-7.
16. A storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform the information push method of any one of claims 1-7.
17. A computer program product comprising a computer program which, when executed by a processor of an electronic device, enables the electronic device to perform the information push method according to any one of claims 1-7.
CN202211182793.4A 2022-09-27 2022-09-27 Information pushing method and device, electronic equipment and storage medium Pending CN115695544A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211182793.4A CN115695544A (en) 2022-09-27 2022-09-27 Information pushing method and device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211182793.4A CN115695544A (en) 2022-09-27 2022-09-27 Information pushing method and device, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN115695544A true CN115695544A (en) 2023-02-03

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
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Country Status (1)

Country Link
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