CN110633416A - User object screening method and device and electronic equipment - Google Patents
User object screening method and device and electronic equipment Download PDFInfo
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Abstract
The invention provides a user object screening method, a user object screening device and electronic equipment, wherein the method comprises the following steps: the method comprises the steps of obtaining a selected basic rule model and a combination relation between the basic rule models, combining the basic rule models according to the combination relation to obtain a composite rule model, configuring the corresponding basic rule models in the composite rule model according to set screening indexes to obtain a filter, and screening user objects by adopting the filter to obtain the user objects meeting the screening indexes. According to the invention, through the combined construction of the rule models, the screener of the composite rule model is constructed, so that the requirements of various complex and diverse activity rules are met, the user objects meeting the rules and indexes are screened, the screening efficiency and the screening accuracy are improved, the product operation efficiency and the user product experience are further improved, and the technical problems of high time cost, low working efficiency and high possibility of errors caused by the fact that the user objects are screened through manual operation in the prior art are solved.
Description
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to a method and an apparatus for screening a user object, and an electronic device.
Background
The activity reward issuing is very common activity operation requirements (such as game ranking rewards, recharging rewards, continuous login rewards and the like) in APP application, and corresponding rewards are issued to users for winning the rewards according to activity reward rules.
In practical application, due to the complexity and diversity of the activity reward rules, reward issuing modes are different, at present, operators screen user objects for finally obtaining rewards from a large number of user objects according to the reward rules and issue corresponding rewards, the process is complicated, redundant and high in repeatability, manual operation time is high in cost, working efficiency is low, and product operation efficiency and user product experience are affected. In addition, when the size of the reward distribution quantity is large, manual errors cannot be avoided, and unnecessary economic losses are caused.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present invention is to provide a user object screening method, in which a screener of a composite rule model is constructed through the combined construction of rule models to meet various complex and diverse activity requirements, so as to screen out user objects meeting screening conditions, thereby solving the technical problems of high labor cost, low efficiency and high error rate caused by manually screening user objects in the prior art.
The second purpose of the invention is to provide a user object screening device.
A third object of the invention is to propose an electronic device.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides a user object screening method, including:
acquiring selected basic rule models and a combination relation between the basic rule models; wherein the base rule model is to indicate a filtering logic of a user object;
combining the basic rule models according to the combination relation to obtain a composite rule model;
configuring a corresponding basic rule model in the composite rule model according to a set screening index to obtain a screener;
and screening the user objects by adopting the screener to obtain the user objects meeting the screening indexes.
Optionally, as a first possible implementation manner of the first aspect, the filtering index includes a user information item and a threshold;
configuring a corresponding basic rule model in the composite rule model according to a set screening index to obtain a screener, wherein the method comprises the following steps:
and configuring a corresponding basic rule model according to the user information item and the threshold value, so that the basic rule model screens the user object which meets the threshold value by adopting set screening logic according to the user information item corresponding to the user object.
Optionally, as a second possible implementation manner of the first aspect, after the filtering the user object by using the filter to obtain the user object meeting the filtering index, the method further includes:
adding reward marks to the user objects meeting the screening indexes;
and according to the reward information, corresponding reward content is issued to the user object added with the reward mark.
Optionally, as a third possible implementation manner of the first aspect, the rule model includes: at least one or more combinations of a ranking model, a condition model, and a gear grading model;
wherein the ranking model is used for screening based on ranking;
the condition model is used for screening based on screening conditions;
and the gear grading model is used for grading screening based on the gear to which the user object belongs.
Optionally, as a fourth possible implementation manner of the first aspect,
the combining the basic rule models according to the combination relationship to obtain a composite rule model comprises:
and combining at least two basic rule models in one or more of parallel, sequential and mutually exclusive according to the combination relation.
Alternatively, as a fifth possible implementation manner of the first aspect,
after the user object is screened by adopting the screener to obtain the user object meeting the screening index, the method further comprises the following steps:
and generating a screening result list according to the user objects meeting the screening indexes.
In order to achieve the above object, a second aspect of the present invention provides a user object screening apparatus, including:
the acquisition module is used for acquiring the selected basic rule models and the combination relation among the basic rule models; wherein the base rule model is to indicate a filtering logic of a user object;
the combination module is used for combining the basic rule models according to the combination relation to obtain a composite rule model;
the configuration module is used for configuring a corresponding basic rule model in the composite rule model according to a set screening index to obtain a screener;
and the screening module is used for screening the user objects by adopting the screener to obtain the user objects meeting the screening indexes.
Optionally, as a first possible implementation manner of the second aspect, the filtering index includes a user information item and a threshold; the configuration module is specifically configured to:
and configuring a corresponding basic rule model according to the user information item and the threshold value, so that the basic rule model screens the user object which meets the threshold value by adopting set screening logic according to the user information item corresponding to the user object.
Optionally, as a second possible implementation manner of the second aspect, the apparatus further includes:
and the reward module is used for adding reward marks to the user objects meeting the screening indexes and issuing corresponding reward contents to the user objects added with the reward marks according to reward information.
Optionally, as a third possible implementation manner of the second aspect, the rule model includes: at least one or more combinations of a ranking model, a condition model, and a gear grading model;
wherein the ranking model is used for screening based on ranking;
the condition model is used for screening based on screening conditions;
and the gear grading model is used for grading screening based on the gear to which the user object belongs.
Optionally, as a fourth possible implementation manner of the second aspect, the combination module is specifically configured to:
and combining at least two basic rule models in one or more of parallel, sequential and mutually exclusive according to the combination relation.
Optionally, as a fifth possible implementation manner of the second aspect, the apparatus further includes:
and the generating module is used for generating a screening result list according to the user objects meeting the screening indexes.
To achieve the above object, an embodiment of a third aspect of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the user object filtering method according to the first aspect is implemented.
In order to achieve the above object, a fourth aspect of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the user object filtering method according to the first aspect.
The technical scheme provided by the invention can have the following beneficial effects:
the method comprises the steps of obtaining a selected basic rule model and a combination relation between the basic rule models, wherein the basic rule model is used for indicating the screening logic of a user object, combining the basic rule models according to the combination relation to obtain a composite rule model, configuring the corresponding basic rule model in the composite rule model according to set screening indexes to obtain a screener, screening the user object by adopting the screener to obtain the user object meeting the screening indexes, constructing the screener of the composite rule model through the combination building of the rule models to meet the requirements of various complex and diverse activity rules and screen the user object meeting the requirements, and improving the screening efficiency and the screening accuracy, so that the product operation efficiency and the user product experience are improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a user object screening method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the configuration of a ranking model and user object filtering;
FIG. 3 is a schematic diagram of the configuration of a condition model and user object filtering;
FIG. 4 is a schematic diagram of a configuration of a gear grading model and user object filtering;
fig. 5 is a schematic flowchart of another user object screening method according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a user object screening apparatus according to an embodiment of the present invention; and
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The following describes a user object screening method, a user object screening device and electronic equipment according to an embodiment of the invention with reference to the drawings.
Fig. 1 is a schematic flow chart of a user object screening method according to an embodiment of the present invention.
As shown in fig. 1, the method comprises the steps of:
Wherein the base rule model is used to indicate the filtering logic of the user object. The user object indicates a user participating in the screening activity, and may specifically be an account of the user.
Wherein, the basic rule model comprises: at least one or more combinations of a ranking model, a condition model and a gear grading model, wherein the ranking model is used for screening based on ranking; a condition model for performing screening based on the screening conditions; and the gear grading model is used for grading screening based on the gear to which the user object belongs.
In practical application, different activities in different applications have different screening rules due to different screening requirements, for example, the screening rule of the live broadcast application may be different from the screening rule of the game application, and when the same activities are applied, the corresponding screening rules may also be different, for example, in the Taobao application, when a seller is screened, the seller may be screened according to the credit score of the seller; when the buyers are screened, the buyers can be screened according to the naughty values of the buyers, so that in the embodiment, the basic rule models are determined from the multiple basic rule models according to different applications and screening requirements of different activities corresponding to the applications, and the combination relationship among the rule models is based on, wherein the combination relationship can be one or more combinations of parallel, sequential and mutual exclusion.
And 102, combining the basic rule models according to the combination relation to obtain a composite rule model.
Specifically, at least two basic rule models are combined in one or more of parallel, sequential and mutually exclusive according to the determined combination relationship to obtain a composite rule model.
The basic rule models are combined in a parallel mode, namely, the basic rule models are in an OR relationship, namely, the user object screening logic indicated by any basic rule model is satisfied. The basic rule models are combined in a sequential mode, and the basic rule models have a same relation, namely the user object screening logic indicated in all the basic rule models needs to be met; and the basic rule models adopt a mutual exclusion mode, so that one user object screening logic indicated by the basic rule models is satisfied, and other screening logics cannot be satisfied. In practical application, the number of the selected basic rule models may be more than two, when the number of the selected basic rule models is multiple, the multiple basic rule models can be combined by adopting one or more of parallel, sequential and mutual exclusion to obtain a composite rule model, so that various composite rule models can be combined according to a combination mode to meet complex requirements of different applications and activities, the limitation of use scenes is avoided, and the use flexibility is improved.
In this embodiment, the basic rule models can be flexibly combined in a corresponding combination manner according to the rule and the requirement of the activity.
And 103, configuring a corresponding basic rule model in the composite rule model according to the set screening index to obtain the screener.
The screening indexes comprise user information items and threshold values, wherein the user information items are integration points, credit scores, naughty values and the like.
Specifically, according to the user information item and the threshold, a corresponding basic rule model in the composite rule model is configured to obtain a filter, so that the filter performs user object filtering by adopting a set filtering logic according to the corresponding user information item in the user object, and the user object meeting the threshold is reserved.
In this embodiment, the configuration and the screening method of a single basic rule model are respectively described by taking the basic rule model as any one of 3 models, namely, a ranking model, a condition model and a gear classification model.
Fig. 2 is a schematic diagram of configuration of a sorting model and user object screening, and as shown in fig. 2, a corresponding rank is generated according to the obtained user information items of each user object, the corresponding rank is compared with a threshold preset according to a sorting rule, if the ranks are all within a threshold range, the user object is a user meeting a screening index, and if the rank of the user object is not within the threshold range, the user object is filtered, and the user object meeting the screening condition of the sorting model is retained. For example, if the threshold of the score ordering is 10, the user whose score ranking is within 10 in the user objects is determined as the user object meeting the filtering condition, and the user objects whose ranking is not within 10 are directly filtered and deleted. For another example, the user objects with the score ranking within 10 in the user objects are screened through score sorting, then the user objects with the score ranking within 10 are screened through the sorting of the reputation scores, the user objects with the reputation scores within 9 are determined to be the user objects meeting the screening conditions, that is, the sorting model can be provided with multi-level sorting, and the user objects are determined to be the user objects meeting the screening conditions of the sorting model after the user objects meet the sorting conditions of all levels.
Fig. 3 is a schematic diagram of configuration of a condition model and user object screening, and as shown in fig. 3, the condition model is configured according to a user information item and a corresponding threshold value obtained from a user object, and a screening condition of the condition model is determined, where the screening condition and an application program or an activity have a correlation, for example, in a live broadcast application program, the screening condition is a number of continuous login times, a continuous login time, or a direct broadcast gift, and further, after the condition model is configured, the user object may be screened according to the user information item and the threshold value corresponding to the screening condition of each user object, so as to obtain a user object meeting a screening index, and the user object not meeting the screening index is filtered and deleted.
It should be noted that, a multi-level screening condition may be set in the condition model, and when a user object meets the screening conditions of all levels, the user object is determined to be the user object meeting the screening conditions of the condition model.
Fig. 4 is a schematic diagram of configuration of a gear ranking model and user object screening, and as shown in fig. 4, the gear ranking model is configured according to an acquired user information item of the user object and a corresponding threshold, where the gear ranking may be a gear ranking determined based on a recharge amount of the user object or a gear ranking determined based on a reputation score of the user object, which is not limited in this embodiment. Further, after the configuration of the gear grading model is completed, the user objects can be screened according to the user information items and the corresponding threshold values of the user objects, so that the user objects meeting the screening indexes are obtained, and the user objects not meeting the screening indexes are filtered and deleted.
It should be noted that, a multi-level gear level hierarchical requirement may be set in the gear level hierarchical model, and when a user object meets the gear level hierarchical requirements of all levels, the user object is determined to be a user object meeting the screening condition of the gear level hierarchical model.
It should be understood that, for example, the above-mentioned is that the composite rule model includes one basic rule model, so that one basic rule model is configured to generate the filter, in practical application, the composite rule model may include a plurality of basic rule models with a composite specific combination relationship, that is, the filter generates the composite requirement according to the specific combination relationship and the configured single basic rule model, and is intended to replace manual operation, meet the filtering requirements of different scenes, and has high filtering efficiency and accuracy.
And 104, screening the user objects by adopting a filter to obtain the user objects meeting the screening indexes.
In the embodiment, the user objects are intelligently screened according to the configured screener so as to screen the user objects meeting the screening indexes, the screening process of the user objects is simplified, the screening efficiency is improved, the error rate is reduced, and the product operation efficiency and the user product experience are improved.
Optionally, as a possible implementation manner, after the user objects meeting the screening indexes are obtained by screening through the filter, a result list is generated according to the user objects meeting the screening indexes, so as to display the screened user objects.
Optionally, as a possible implementation manner, after the user objects meeting the screening index are screened by the filter, the user objects meeting the screening index may be further added with an award mark, and corresponding award content is issued to the user objects added with the award mark according to the award information, where the issued award content may be set according to a specific application scenario, for example, in a live broadcast application, for a user object with a large recharge amount and a high level, a cash-back award for the user object amount may be given, or an award for promoting the user level is given, and the award content is not limited in this embodiment.
In the user object screening method of the embodiment, the selected basic rule model and the combination relationship between the basic rule models are obtained, wherein the basic rule model is used for indicating the screening logic of the user object, the basic rule models are combined according to the combination relationship to obtain the composite rule model, the corresponding basic rule model in the composite rule model is configured according to the set screening index to obtain the screener, the user object is screened by the screener to obtain the user object meeting the screening index, the screener of the composite rule model is constructed through the combined construction of the rule models to meet the requirements of various complex and diverse activity rules, prize-winning users are screened, the screening efficiency and the accuracy are improved, and therefore the product operation efficiency and the user product experience are improved.
In order to clearly illustrate the previous embodiment, this embodiment provides a specific application scenario, in the above embodiment, it is described that a user object meeting a screening condition can be screened out through a constructed filter, and in practical applications, according to the screened user object, an automatic reward is issued based on a reward condition of a pre-device. Fig. 5 is a schematic flow chart of another user object screening method according to an embodiment of the present invention.
As shown in fig. 5, the method may include the steps of:
step 501, according to the active rule, the selected basic rule model and the combination relation between the basic rule models are obtained.
And 502, combining the basic rule models according to the combination relation to obtain a composite rule model.
Step 503, configuring a corresponding basic rule model in the composite rule model according to the set screening index to obtain the screener.
The screening indexes refer to user information items and corresponding threshold values which accord with live activities, the live activities mainly consider points of users, activity degrees of the users, live broadcast time lengths and the like, therefore, the user information items can be set as the points of the users, the activity degrees of the users, the live broadcast time lengths and the like, and the threshold values of the points, the activity degrees and the live broadcast time lengths are respectively set for configuring basic rule models in the screener.
Specifically, according to the activity requirement of the live broadcast activity, the operator selects a required sequencing model and a gear grading model from a plurality of basic rule models, determines that the combination relationship between the sequencing model and the gear grading model is a parallel mode, combines the selected basic rule models in the parallel mode to obtain a composite rule model meeting the current activity requirement, and flexibly configures the corresponding sequencing model and the gear grading model in the composite rule model based on different activities to obtain the filter according to the preset corresponding screening indexes of integral of the user, activity of the user, live broadcast duration and the like, and realizes that the configuration of the required filter can be realized only by configuring the screening indexes of the filter by the operator, so that the filter can meet the screening requirements of different activities, the flexibility is higher, has realized the intelligent screening to user's object, and is efficient, and the degree of accuracy is also high.
It should be noted that the corresponding basic rule model in the composite rule model may be set according to each information item in the user information items of the user to obtain the filter, or the corresponding basic rule model in the composite rule model may be set according to the user information items as a whole to obtain the filter.
For example, in the live broadcast activity, each information item in the user information items is adopted to set a corresponding basic rule model in the composite rule model, specifically, the screening index corresponding to the ranking model is that the integral ranking is greater than the top 20, that is, the threshold value of the integral ranking corresponding to the ranking model is 20; the activity sorting is more than the first 30, that is to say, the threshold value of the activity sorting corresponding to the sorting model is 30; the live broadcast time length sequence is more than the first 40, namely the threshold value of the live broadcast time length sequence corresponding to the sequence model is 40; the method comprises the steps that a corresponding basic rule model in a composite rule model is set by taking a user information item as a whole, specifically, the screening indexes corresponding to a gear grading model are integral, liveness and live broadcast time length to jointly determine the integral gear grading of the user, wherein the integral gear grading has 10 grades, namely corresponding to 1-10 grades, the higher the number is, the higher the integral gear grading is, namely the grade 10 is the highest integral gear grading, and the threshold value of the integral gear grading corresponding to the gear grading model is 6.
It should be noted that the gear stages in the gear stage model may also be respectively set as the gear stages corresponding to the integral, the gear stages corresponding to the liveness, and the gear stages corresponding to the live broadcast duration, that is, the gear stage model may be set by the gear stages corresponding to each user information item and the threshold, so as to implement the detailed configuration of the basic rule model and meet different activity requirements. In this embodiment, the manner of configuring the basic rule model by using the user information item and the threshold is not limited.
Step 504, for each user object, determining data corresponding to the information item of the user object.
Specifically, all the user objects are traversed, and corresponding information items of each user object are directly extracted or calculated according to the integral, the liveness and the live broadcast duration set for the live broadcast activity, so that data of the integral, the liveness and the live broadcast duration corresponding to the user object are obtained, and the extraction of each user information item is realized for subsequent user object screening.
Step 505, a filter is used to filter the user object, and whether the user information item meets the filtering index is determined, if yes, step 506 is executed, and if not, step 504 is executed.
For example, the user information item includes points, liveness and live broadcast duration, the point of the user object A is 1000 points, the ranking of the points is the 10 th, and the ranking is greater than the threshold value 20 of the point ranking; the activity degree is 80, the sequence corresponding to the activity degree is the 13 th name, and is greater than the threshold value 30 of the activity degree sequence; the live broadcast time length is 200 hours, the corresponding ranking of the live broadcast time length is 14 th, and the ranking is larger than the threshold value 40 of the live broadcast time length ranking. The overall gear level corresponding to the user object a is classified into 4 levels, it is determined that the user object a can pass through the filter according to the sorting model of the live broadcast activities in the above steps and the filtering index set in the gear level classification model, that is, the user object a is the user object meeting the filtering index, and step 506 is executed for the user meeting the filtering index. If the user object a is a user object that does not meet the screening index, the process returns to step 504, and extracts or calculates information items of other user objects, and further screens other user objects until all user objects are screened.
It should be noted that, when it is determined that the result can pass through the filter, that is, the result meets the filtering criteria, step 507 may be executed first to generate a result list, and then step 506 is executed, that is, the reward identifier is added, which is not limited in this embodiment.
Step 506, setting prize information, and adding a prize mark to the user object meeting the screening index.
And 507, generating a result list according to the user objects meeting the screening indexes.
And step 508, distributing corresponding reward contents to the user object added with the reward mark according to the reward information.
Specifically, for the user objects meeting the screening indexes, reward identification can be added to the user objects, and the user objects meeting the screening indexes generate a result list to be displayed and announced, so that users can know screening conditions conveniently, and further, corresponding reward content is issued to the user objects added with the reward identification according to preset reward information, wherein the reward identification can be added according to preconfigured reward item information, the users meeting the screening indexes can set the same reward content and can also set different reward contents, for example, the reward item information can be based on different ranks and different levels, different reward content settings are performed for the user objects meeting the screening conditions, the flexibility of reward is improved, and meanwhile, the enthusiasm of the users participating in activities in live broadcast application is stimulated.
The bonus content can be flexibly set according to specific activities, the bonus content can be level-up, bonus of points, and the like, and can also be bonus of cash, and the like.
In the user object screening method of the embodiment, according to different activities, the corresponding basic rule model can be selected and the combination relationship can be determined, the composite rule model can be obtained according to the combination relationship, and according to the screening index, the basic rule model in the rule model is configured with the model parameters to obtain the screener meeting the screening requirement, so that the constructed screener meets the screening requirements of different applications and activities through selection and combination construction of the basic model and configuration of the basic model parameters, the screening efficiency and the screening accuracy are improved, and the product operation efficiency and the user product experience are improved. After the user objects are screened out, reward identification can be added to the user objects meeting the screening requirements, and list display is conducted, so that corresponding reward content is issued to the user objects added with the reward identification, and the activity and retention rate of the user objects corresponding to the product are improved.
In order to implement the above embodiment, the present invention further provides a user object screening apparatus.
Fig. 6 is a schematic structural diagram of a user object screening apparatus according to an embodiment of the present invention.
As shown in fig. 6, the apparatus includes: an acquisition module 61, a combination module 62, a configuration module 63 and a screening module 64.
An obtaining module 61, configured to obtain the selected basic rule model and a combination relationship between the basic rule models; wherein the base rule model is used to indicate the filtering logic of the user object.
And the combination module 62 is used for combining the basic rule models according to the combination relation to obtain a composite rule model.
And the configuration module 63 is configured to configure a corresponding basic rule model in the composite rule model according to the set screening index, so as to obtain the screener.
And the screening module 64 is configured to screen the user object by using a filter to obtain the user object meeting the screening index. Further, in a possible implementation manner of the embodiment of the present invention, the apparatus further includes a reward module and a generation module.
And the reward module is used for adding reward marks to the user objects meeting the screening indexes and issuing corresponding reward contents to the user objects added with the reward marks according to reward information.
And the generating module is used for generating a screening result list according to the user objects meeting the screening indexes.
As a possible implementation manner, the screening indicator includes a user information item and a threshold, and the configuration module 63 is specifically configured to:
and configuring a corresponding basic rule model according to the user information item and the threshold value, so that the basic rule model screens the user object which meets the threshold value by adopting set screening logic according to the user information item corresponding to the user object.
As a possible implementation, the rule model includes: at least one or more combinations of a ranking model, a condition model, and a gear grading model;
and the ranking model is used for screening based on the ranking.
A condition model for screening based on the screening conditions.
And the gear grading model is used for grading screening based on the gear to which the user object belongs.
As a possible implementation manner, the combination module 62 is specifically configured to:
and combining at least two basic rule models in one or more of parallel, sequential and mutually exclusive according to the combination relation.
It should be noted that the foregoing explanation of the embodiment of the user object screening method is also applicable to the user object screening apparatus of this embodiment, and the principle is the same, and is not repeated here.
In the user object screening device of the embodiment, the selected basic rule model and the combination relation between the basic rule models are obtained, wherein the basic rule model is used for indicating the screening logic of the user object, the basic rule models are combined according to the combination relation to obtain the composite rule model, the corresponding basic rule models in the composite rule model are configured according to the set screening indexes to obtain the screener, the user object is screened by the screener to obtain the user object meeting the screening indexes, the screener of the composite rule model is constructed through the combined building of the rule models to meet the requirements of various complex and diverse activity rules, prize-winning users are screened, the screening efficiency and the accuracy are improved, and therefore the product operation efficiency and the user product experience are improved.
In order to implement the foregoing embodiment, the present invention further provides an electronic device 110, fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 7, the electronic device 110 includes a memory 111, a processor 112, and a computer program 113 stored in the memory 111 and capable of being executed on the processor 112, and when the processor 112 executes the program, the user object filtering method according to the foregoing method embodiment is implemented.
In order to implement the foregoing embodiments, the present invention further proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the user object screening method according to the foregoing method embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A method for screening user objects, the method comprising:
acquiring selected basic rule models and a combination relation between the basic rule models; wherein the base rule model is to indicate a filtering logic of a user object;
combining the basic rule models according to the combination relation to obtain a composite rule model;
configuring a corresponding basic rule model in the composite rule model according to a set screening index to obtain a screener;
and screening the user objects by adopting the screener to obtain the user objects meeting the screening indexes.
2. The method of claim 1, wherein the screening metric includes a user information item and a threshold; configuring a corresponding basic rule model in the composite rule model according to a set screening index to obtain a screener, wherein the method comprises the following steps:
and configuring a corresponding basic rule model according to the user information item and the threshold value, so that the basic rule model screens the user object which meets the threshold value by adopting set screening logic according to the user information item corresponding to the user object.
3. The method as claimed in claim 1, wherein after the step of screening the user objects by the filter to obtain the user objects meeting the screening criteria, the method further comprises:
adding reward marks to the user objects meeting the screening indexes;
and according to the reward information, corresponding reward content is issued to the user object added with the reward mark.
4. The method according to any of claims 1-3, wherein the base rule model comprises: at least one or more combinations of a ranking model, a condition model, and a gear grading model;
wherein the ranking model is used for screening based on ranking;
the condition model is used for screening based on screening conditions;
and the gear grading model is used for grading screening based on the gear to which the user object belongs.
5. The method as claimed in claim 4, wherein the combining the basic rule models according to the combination relationship to obtain a composite rule model comprises:
and combining at least two basic rule models in one or more of parallel, sequential and mutually exclusive according to the combination relation.
6. The method as claimed in claim 4, wherein after the step of screening the user objects by the filter to obtain the user objects meeting the screening criteria, the method further comprises:
and generating a screening result list according to the user objects meeting the screening indexes.
7. A user object screening apparatus, the apparatus comprising:
the acquisition module is used for acquiring the selected basic rule models and the combination relation among the basic rule models; wherein the base rule model is to indicate a filtering logic of a user object;
the combination module is used for combining the basic rule models according to the combination relation to obtain a composite rule model;
the configuration module is used for configuring a corresponding basic rule model in the composite rule model according to a set screening index to obtain a screener;
and the screening module is used for screening the user objects by adopting the screener to obtain the user objects meeting the screening indexes.
8. The user object filtering apparatus according to claim 7, wherein the filtering index includes a user information item and a threshold value; the configuration module is specifically configured to:
and configuring a corresponding basic rule model according to the user information item and the threshold value, so that the basic rule model screens the user object which meets the threshold value by adopting set screening logic according to the user information item corresponding to the user object.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of user object screening as claimed in any one of claims 1 to 6 when executing the program.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the method for user object screening as claimed in any one of claims 1-6.
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