CN111160995A - Method and system for making decision according to monitoring result of target object - Google Patents
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Abstract
The embodiment of the specification discloses a method and a system for making a decision according to a monitoring result of a target object. The method may include obtaining a plurality of target objects, each of which may include at least two sub-monitoring items, and obtaining sub-monitoring results of the at least two sub-monitoring items; then, determining the monitoring result of the target object based on the sub-monitoring results of the at least two sub-monitoring items; providing the monitoring result of the target object to decision equipment for health decision; the health decision comprises the steps of influencing searching and screening results of a plurality of target objects and/or pushing monitoring results of the target objects to a target object owner terminal.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of computer technology, and more particularly, to a method and system for making a decision based on a monitoring result of a target object.
Background
A life number is one way for a merchant or a paymate platform to provide services to a user on a paymate application. The Payment platform can increase user stickiness and improve user experience through the operation of the life number. Currently, health measures for a life number are evaluated based on certain indicators of the life number (e.g., liveness of the life number or complaints about the life number).
Therefore, in order to more systematically and comprehensively evaluate the health condition of a life number, it is necessary to provide a method and a system for making a decision based on the monitoring result of a target subject.
Disclosure of Invention
One aspect of the present description provides a method for making a decision based on a monitoring result of a target object. The method comprises the following steps: acquiring a plurality of target objects, wherein each target object of the plurality of target objects comprises at least two sub-monitoring items, and acquiring sub-monitoring results of the at least two sub-monitoring items; determining a monitoring result of the target object based on the sub-monitoring results of the at least two sub-monitoring items; providing the monitoring result of the target object to decision equipment for health decision; wherein the health decision comprises influencing searching and screening results of the plurality of target objects and/or pushing monitoring results of the target objects to a target object owner terminal.
Another aspect of the present specification provides a system for making a decision based on a monitoring result of a target object. The system comprises: the data acquisition terminal is used for acquiring a plurality of target objects, each target object of the plurality of target objects comprises at least two sub-monitoring items, and sub-monitoring results of the at least two sub-monitoring items are acquired; the server is used for determining the monitoring result of the target object based on the sub-monitoring results of the at least two sub-monitoring items; the decision-making equipment is used for making a health decision according to the monitoring result of the target object; wherein the health decision comprises influencing searching and screening results of the plurality of target objects and/or pushing monitoring results of the target objects to a target object owner terminal.
Another aspect of the present specification provides an apparatus for making a decision based on a monitoring result of a target object, comprising at least one storage medium for storing computer instructions and at least one processor; the processor is used for executing the method for making a decision according to the monitoring result of the target object in any embodiment of the specification.
Another aspect of the present disclosure provides a computer-readable storage medium storing computer instructions, wherein when the computer reads the computer instructions in the storage medium, the computer performs a method for making a decision according to a monitoring result of a target object according to any one of the embodiments of the present disclosure.
Drawings
FIG. 1 is a diagram of an application scenario of a decision making system, shown in accordance with some embodiments of the present description;
FIG. 2 is a block diagram of a decision making system shown in accordance with some embodiments of the present description;
FIG. 3 is an exemplary flow diagram of a decision-making method shown in accordance with some embodiments of the present description;
FIG. 4 is an interface schematic diagram of textual content of a target object owner, shown in accordance with some embodiments of the present description.
Detailed Description
In order to more clearly illustrate the technical solution of one or more embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, one or more embodiments of the present description can also be applied to other similar scenarios according to these drawings without inventive effort. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system", "device", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in one or more embodiments of the present specification and in the claims, the terms "a," "an," and/or "the" are not intended to be inclusive of the plural form as long as the context clearly indicates the exception. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Flow diagrams are used in one or more embodiments of the present description to illustrate the operations performed by a system in accordance with one or more embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
Fig. 1 is a diagram of an application scenario of a decision making system, shown in accordance with some embodiments of the present description.
The decision making system 100 may include a server 110, an owner terminal 120, a storage device 130, a user terminal 140, and a network 150.
The server 110 may be used to process data and/or information from at least one component of the present system or an external data source (e.g., a cloud data center). In some embodiments, the server 110 may be a single server or a group of servers. The set of servers can be centralized or distributed (e.g., the servers 110 can be a distributed system), can be dedicated, or can be serviced by other devices or systems at the same time. In some embodiments, the server 110 may be regional or remote. In some embodiments, the server 110 may be implemented on a cloud platform, or provided in a virtual manner. By way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-tiered cloud, and the like, or any combination thereof. The server 110 may include a processor 112.
Data refers to a digitized representation of information and may include various types, such as binary data, text data, image data, video data, and so forth. Instructions refer to programs that may control a device or apparatus to perform a particular function.
In some embodiments, other devices with input and/or output capabilities may include a dedicated terminal located in a public place. In some application scenarios, the user using the user terminal 140 may include a user using the dedicated question answering terminal. The above examples are intended only to illustrate the broad scope of the user terminal 140 device and not to limit its scope.
The network 150 may connect the various components of the system and/or connect the system with external resource components. The network 150 enables communication between the various components and with other components outside the system to facilitate the exchange of data and/or information. In some embodiments, the network 150 may be any one or more of a wired network or a wireless network. For example, network 150 may include a cable network, a fiber optic network, a telecommunications network, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth network, a ZigBee network (ZigBee), Near Field Communication (NFC), an in-device bus, an in-device line, a cable connection, and the like, or any combination thereof. The network connection between the parts can be in one way or in multiple ways. In some embodiments, the network may be a point-to-point, shared, centralized, etc. variety of topologies or a combination of topologies. In some embodiments, the network 150 may include one or more network access points. For example, the network 150 may include wired or wireless network access points, such as base stations and/or network switching points 150-1, 150-2, …, through which one or more components of the access point system 100 may connect to the network 150 to exchange data and/or information.
In some embodiments, storage 130 may be included in server 110, owner terminal 120, user terminal 140, and possibly other system components.
In some embodiments, the processor 112 may be included in the server 110, the owner terminal 120, the user terminal 140, and possibly other system components.
In some embodiments, the server 110 may determine the monitoring result of each target object based on the sub-monitoring results of at least two sub-monitoring items of the target object, and make a health decision by the decision device according to the monitoring result of the target object, and finally present the health decision result to the user or the owner of the target object through the user terminal 140 or the owner terminal 120, respectively. Server 110 may retrieve data from storage device 130 or save data to storage device 130 during processing, or may read data from other sources and output data to other target objects via network 150. Operations in this description may be performed by processor 112 executing program instructions. The above-described method is merely for convenience of understanding, and the present system may also be implemented in other possible operation modes.
In some examples, different functions, such as data screening, querying, preprocessing, model training, model execution, etc., may be performed on different devices, which are not limited in this specification.
In some application scenarios, the decision system 100 may be used to provide services such as target object push, target object search, target object filtering, and the like. The decision making system 100 may push the monitoring results to the owner of the target object to make it more reasonable to operate and recommend the target object of good quality to the user by implementing the methods and/or processes disclosed in the embodiments of the present specification. In some embodiments, the decision making system 100 may be used in a service platform for making decisions based on the monitoring results of the target object. Such as a paymate platform.
Fig. 2 is a block diagram of a decision making system, shown in accordance with some embodiments of the present description.
As shown in fig. 2, the decision making system 200 may include a server side 202, a target object owner side 204, and a user side 206. The server side 202 may further include a data acquisition side 2022 and a decision device side 2024.
The data acquiring end 2022 may be configured to acquire a plurality of target objects, each of the target objects includes at least two sub-monitoring items. The data obtaining end 2022 may further be configured to obtain sub-monitoring results of the at least two sub-monitoring items.
In some embodiments, the sub-monitoring results of the sub-monitoring items may include a baseline safety monitoring value, a service experience monitoring value, a user activity monitoring value, an operational risk monitoring value, and/or a system safety monitoring value. The bottom line safety monitoring value can be used for measuring the account safety and content safety conditions of the target object; the service experience monitoring value can be used for measuring the user experience condition of the target object; the user activity monitoring value can be used for measuring the user activity condition of the target object; the operation risk monitoring value can be used for measuring the external penalty condition of the target object; the system security monitoring value can be used for measuring the access performance condition of the target object.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the bottom line safety monitoring value, the data obtaining end 2022 may be configured to obtain the prediction model; and inputting the attribute information, developer information and historical user behavior information of the target object into the prediction model to determine a baseline security monitoring value. In some embodiments, the data obtaining end 2022 may further be configured to obtain a training sample, and train an initial model based on the training sample to obtain the prediction model. The training samples may include baseline safety monitoring values for the training target subject and at least one of the following characteristics: training attribute information, developer information, and historical user behavior information of the target object.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the service experience monitoring value, the data obtaining end 2022 may be configured to obtain the number of historical complaint users and the historical complaint users; and determining a service experience monitoring value based on the number of historical complaint users and the historical complaint users.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the user activity monitoring value, the data obtaining end 2022 may be configured to obtain the number of daily active users; and determining the user activity monitoring value according to the number of daily active users.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the operation risk monitoring value, the data obtaining end 2022 may be configured to obtain the penalty information of the target object; and determining an operation risk monitoring value according to the penalty information.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the system safety monitoring value, the data obtaining end 2022 may be configured to obtain the access success rate and the access time consumption of the target object, determine the success rate monitoring value and the time consumption monitoring value based on a linear rectification function, and determine the system safety monitoring value based on the success rate monitoring value and the time consumption monitoring value.
The server 202 may be configured to determine a monitoring result of the target object based on the sub-monitoring results of the at least two sub-monitoring items. In some embodiments, the server 202 may further be configured to, in response to the push request, obtain the monitoring result of the target object, the sub-monitoring results of the at least two sub-monitoring items, and the corresponding text content, and push the monitoring result and the sub-monitoring results to the owner terminal of the target object. In some embodiments, the server 202 may be further configured to obtain initial search results of the plurality of target objects in response to the search request. In some embodiments, the server 202 may further be configured to send the adjusted search results of the plurality of target objects to the user terminal.
The decision device 2024 may be configured to make a health decision according to the monitoring result of the target subject. The health decision may comprise influencing the search, the screening results of a plurality of target objects and/or pushing the monitoring results of the target objects to a target object owner terminal. In some embodiments, the decision device 2024 may further be configured to perform a health decision on the initial search results of the plurality of target objects, so as to obtain adjusted search results of the plurality of target objects. In some embodiments, the decision device 2024 may further be configured to convert the monitoring result of the target object into a corresponding search adjustment parameter, and adjust the initial search result according to the search adjustment parameter to obtain an adjusted search result. In some embodiments, the decision device 2024 may further be configured to filter out at least one target object whose monitoring result is higher than a preset threshold, and output the target object.
The target object owner side 204 may be configured to send a push request for the monitoring result of the target object. In some embodiments, the target object owner side 204 may be further configured to present the monitoring result of the target object and the sub-monitoring results of the at least two sub-monitoring items, and the corresponding text content.
The client 206 may be configured to send a search request for the plurality of target objects. In some embodiments, the user terminal 206 may be further configured to present the search result after the adjustment of the plurality of target objects.
It should be understood that the system shown in FIG. 2 and its ends or modules may be implemented in a variety of ways. For example, in some embodiments, a system and its ends or modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its terminals or modules in this specification may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).
It should be noted that the above description of the decision system 200 and its terminals or modules is for convenience only and should not limit the present disclosure to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the present system, any combination of modules or sub-system configurations may be used to connect to other modules without departing from such teachings. For example, the data acquisition end 2022 and the decision device end 2024 disclosed in fig. 2 may be different modules in a system, or may be a module to implement the above two functions. Such variations are within the scope of the present disclosure.
Fig. 3 is an exemplary flow diagram of a decision-making method shown in accordance with some embodiments of the present description.
In some embodiments, flow 300 may be performed by processing logic that may comprise hardware (e.g., circuitry, dedicated logic, programmable logic, microcode, etc.), software (instructions run on a processing device to perform hardware simulation), etc., or any combination thereof. One or more operations of the decision method 300 shown in fig. 3 may be implemented by the decision system 100 shown in fig. 1. For example, the process 300 may be stored in the storage device 130 in the form of instructions and executed and/or invoked by the server 110. In some embodiments, one or more of the operations illustrated in FIG. 3 may also be implemented by other servers (not shown in FIG. 1) on the network.
In some embodiments, the target object may include a pay-for-life number, a pay-for-little-program, or a pay-for-treasure service window. In some embodiments, the sub-monitoring items may include bottom line security, service experience, user liveness, operational risk, and/or system security. The sub-monitoring results of the sub-monitoring items may include a baseline safety monitoring value, a service experience monitoring value, a user activity monitoring value, an operational risk monitoring value, and/or a system safety monitoring value. The bottom line safety monitoring value can be used for measuring the account safety and content safety conditions of the target object; the service experience monitoring value can be used for measuring the user experience condition of the target object; the user activity monitoring value can be used for measuring the user activity condition of the target object; the operation risk monitoring value can be used for measuring the external penalty condition of the target object; the system security monitoring value can be used for measuring the access performance condition of the target object. The sub-monitoring result of the sub-monitoring item can be expressed in a numerical form, for example, it can be 0 to 100, 0 to 1, or 0 to 100%, and this is not limited in this embodiment of the present specification. The bottom line safety monitoring value, the service experience monitoring value, the user activity monitoring value, the operation risk monitoring value and/or the system safety monitoring value can be in the same numerical value form or different numerical value forms. For example, the bottom line safety monitoring value is in a numerical form of 0-100, and the service experience monitoring value is in a numerical form of 0-1.
In some embodiments, the data acquisition end 2022 may acquire a plurality of target objects. For example, the data acquisition end 2022 may acquire a pay baby life number, a pay baby applet, or a pay baby service window.
In some embodiments, the data acquisition end 2022 may sub-monitor the results of at least two sub-monitoring items.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the bottom line safety monitoring value, the data obtaining end 2022 may obtain the bottom line safety monitoring value by using the prediction model. Specifically, a prediction model may be obtained, and attribute information, developer information, and historical user behavior information of the target object may be input into the prediction model, and the prediction model may output a baseline security monitoring value. The attribute information of the target object can comprise the name, the brief description, the content information, the industry, the historical number of illegal target objects in the industry and the historical number of illegal target objects in the industry. The developer information may include the historical number of violation target objects, the historical number of non-violation target objects, and the historical violation rate developed by the target object developer. The historical user behavior information can comprise historical user visit amount, historical user share amount, historical user collection amount, historical user complaint amount and historical user difference evaluation amount. The historical user behavior information may be user behavior information of 7 days, 15 days, 30 days, and 60 days, which is not limited in this embodiment of the specification.
In some embodiments, the data acquisition end 2022 may acquire training samples. The training samples may include baseline safety monitoring values for the training target subject and at least one of the following characteristics: attribute information of the training target object, developer information of the training target object, and historical user behavior information of the training target object. The above features of the training target object are similar to the content of the attribute information, the developer information, and the historical user behavior information of the target object, and are not described herein again. The bottom line safety monitoring value of the training target object can be marked as a reference monitoring value, and the marking process of the bottom line safety monitoring value of the training target object can be carried out manually or by a computer program. The data obtaining end 2022 may also train the initial model based on the training samples to obtain a prediction model. The initial model may include at least one of a logistic regression model, a support vector machine model, a decision tree model, an XGBoost model, and a gradient boost decision tree model.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the service experience monitoring value, the data obtaining end 2022 may obtain the service experience monitoring value. Specifically, the number of historical complaint users and the number of historical users can be obtained, and the service experience monitoring value is determined based on the number of historical complaint users and the historical complaint users. Preferably, the historical complaint user ratio can be obtained according to the historical complaint user number and the historical user number, then the historical complaint user number and the historical complaint user ratio can be subjected to normalization processing, the complaint value is obtained by weighting and averaging, then the complaint value is subjected to inversion operation, and the service experience monitoring value is obtained. In some embodiments, the normalization processing method may include a maximum-minimum normalization method. The weight of the weighted averaging can be set by a human. The operation of inverting the complaint value can be to subtract the complaint value from 1 to obtain the service experience monitoring value. In some embodiments, the service experience monitoring value may also be converted to a value in hundredths. The following is illustrated by specific examples: the number of the historical complaint users is M and the number of the historical complaint users is N, the historical complaint user ratio is M/N obtained through calculation, then the number of the historical complaint users M and the historical complaint user ratio M/N are normalized to respectively obtain
And
the weighted value is set as a and b, and the complaint value is
Service experience monitoring value of
Or converting the service experience monitoring value into
。
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the user activity monitoring value, the data obtaining end 2022 may obtain the user activity monitoring value. Specifically, the number of daily active users can be obtained, and the user activity monitoring value is determined according to the number of daily active users. Preferably, the user activity monitoring value can be obtained by querying the user activity table according to the number of daily active users. The user activity table can be artificially divided in advance according to the number of daily active users. Optionally, the user activity table may include: the activity monitoring value of the corresponding users with the number of the daily active users being more than 100 ten thousand is 100, the activity monitoring value of the corresponding users with the number of the daily active users being 10 to 100 ten thousand is 98, and the activity monitoring value of the corresponding users with the number of the daily active users being less than 10 ten thousand is 30. For example, if the number of daily active users is 50 ten thousand, querying the user activity table results in a user activity monitoring value of 98.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the operation risk monitoring value, the data obtaining end 2022 may obtain the operation risk monitoring value. Specifically, penalty information of the target object can be acquired, and the operation risk monitoring value is determined according to the penalty information. The penalty information for the target object may be queried in an administrative penalty system (e.g., a police query system). Preferably, the operation risk table can be queried according to the penalty information to obtain the operation risk monitoring value. The operation risk table can be artificially divided in advance according to the type of the penalty information and the time to be penalized. Optionally, the operation risk table may include: the operation risk monitoring value corresponding to the administrative punishment which is not carried out is 100, the operation risk monitoring value corresponding to the administrative punishment which is carried out only once 10 years ago is 60, the operation risk monitoring value corresponding to the administrative punishment which is carried out once one month ago is 30, and the operation risk monitoring value corresponding to the industrial and commercial hoisting expense which is not released is 0.
In some embodiments, when the sub-monitoring result of the sub-monitoring item is the system safety monitoring value, the data obtaining end 2022 may obtain the system safety monitoring value. Specifically, the access success rate and the access time consumption of the target object can be obtained, and the success rate monitoring value and the time consumption monitoring value are determined based on the linear rectification function. The following description is given by taking the determination of the success rate monitoring value as an example, and the success rate monitoring value can be determined according to a linear rectification function and can be obtained through a formula (1):
wherein a and b are arbitrary non-negative numbers,
to access success rate.
Similarly, the time-consuming monitoring value may also be determined based on a linear rectification function. The linear rectification function may be in other modified forms, and the embodiment of the present specification is not limited to this. Furthermore, the system safety monitoring value can be determined based on the success rate monitoring value and the time consumption monitoring value. Optionally, the success rate monitoring value and the time consumption monitoring value may be weighted and summed to obtain a system safety monitoring value.
By monitoring the sub-monitoring results of the plurality of sub-monitoring items of the target object, the target object can be monitored in multiple dimensions, and the health level of the target object can be objectively evaluated.
The monitoring result of the target object can be a comprehensive detection result of the target object and is used for measuring the health condition of the target object. In some embodiments, if the sub-monitoring results of the sub-monitoring items include sub-monitoring results of at least two sub-monitoring items, the server 202 may perform weighted summation on the sub-monitoring results of the at least two sub-monitoring items to obtain the monitoring result of the target object. The weight in the weighted sum may be based on the statistics of the questionnaire survey and then set in advance by a human or system. For example, if the weight of the baseline security monitoring value (S1) is w1, the weight of the service experience monitoring value (S2) is w2, the weight of the user activity monitoring value (S3) is w3, the weight of the business risk monitoring value (S4) is w4, and the weight of the system security monitoring value (S5) is w5, the monitoring result of the target object = w1 × S1 + w2 × S2 + w3 × S3 + w4 × S4 + w5 × S5.
The decision device may be a processing device, e.g. a processor, in the server.
The health decision may comprise pushing the monitoring result of the target object to the target object owner terminal.
The target object owner may include a developer of the target object or a manager of the target object. The pushing of the monitoring result of the target object to the target object owner terminal may be achieved through interaction between the target object owner terminal and the server. Specifically, the owner terminal of the target object may send a push request for a monitoring result of the target object, after receiving the push request, the server obtains the monitoring result of the target object, the sub-monitoring results of the at least two sub-monitoring items, and the corresponding text content, and pushes the monitoring result, the sub-monitoring results of the at least two sub-monitoring items, and the corresponding text content to the owner terminal of the target object, and after receiving the push content, the owner terminal of the target object displays the monitoring result of the target object, the sub-monitoring results of the at least two sub-monitoring items, and the corresponding text content on a screen.
The content of the monitoring result of the target object and the sub-monitoring results of the at least two sub-monitoring items can be referred to the description of step 302 and step 304, which is not described herein again. The textual content may include analysis content and/or suggested actions for the target object and the at least two sub-monitoring items, an exemplary textual content being shown in fig. 4.
By pushing the monitoring result of the target object, the sub-monitoring results of at least two sub-monitoring items and the text content to the target object owner terminal, the target object owner can know the conditions of the sub-monitoring items with different dimensions in the target object and know the defects and follow-up improvement measures of the sub-monitoring items.
The health decision may also include search results that affect multiple target objects.
The search results for the plurality of target objects may be results presented on the user terminal. The search results of the plurality of target objects may be achieved by a user terminal interacting with a server. Specifically, the user terminal may send a search request for a plurality of target objects, for example, enter a keyword in a search box for retrieval; after receiving the search request, the server can obtain initial search results of a plurality of target objects; the decision-making equipment can carry out health decision on the initial search results of the plurality of target objects according to the monitoring results of the target objects to obtain the search results of the plurality of target objects after adjustment; the server sends the search results of the adjusted target objects to the user terminal; and finally, the user terminal displays the search results after the adjustment of the plurality of target objects on a screen after receiving the adjusted search results.
The decision-making device making a health decision on the initial search results of the plurality of target objects may include the decision-making device converting the monitoring results of the target objects into corresponding search adjustment parameters, and adjusting the initial search results of the plurality of target objects according to the search adjustment parameters to obtain the search results after adjustment of the plurality of target objects.
The health decision may also include a screening result that affects multiple target objects.
The screening results of the plurality of target objects may be results presented on the user terminal. The screening results of the plurality of target objects can be realized by the interaction of the user terminal and the server. Specifically, the server may push the target object to the user terminal according to the operation requirement, the decision device may select at least one target object whose monitoring result is higher than a preset threshold (e.g., 90) according to the monitoring result of the target object, then the server sends the at least one target object to the user terminal, and the user terminal displays the at least one target object on the screen after receiving the at least one target object.
The search and screening results of a plurality of target objects are adjusted through the health decision, and are displayed on the user terminal, so that high-quality target objects can be provided for the user, and the use experience of the user is improved.
It should be noted that the above description of the process 300 is for illustration and description only and is not intended to limit the scope of the present disclosure. Various modifications and changes to flow 300 will be apparent to those skilled in the art in light of this description. However, such modifications and variations are intended to be within the scope of the present description. For example, the health decision in step 306 is not limited to influencing the search, screening results of multiple target objects, but may also include adjusting the ranking results. For another example, the preset threshold in step 306 is not limited to 90, but may be 95, 85, 80 or other values.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The beneficial effects that may be brought by the embodiments of the present description include, but are not limited to: (1) by monitoring the sub-monitoring results of a plurality of sub-monitoring items of the target object, the target object can be monitored in multiple dimensions, and the health level of the target object is evaluated; (2) by pushing the monitoring result of the target object, the sub-monitoring results of at least two sub-monitoring items and the text content to the target object owner terminal, the target object owner can know the conditions of the sub-monitoring items with different dimensions in the target object and know the defects and subsequent improvement measures of each sub-monitoring item; (3) the search and screening results of a plurality of target objects are adjusted through the health decision, so that high-quality target objects can be provided for the user, and the use experience of the user is improved. It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.
Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.
Moreover, those skilled in the art will appreciate that aspects of the present description may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereof. Accordingly, aspects of this description may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present description may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.
The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for the operation of various portions of this specification may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Additionally, the order in which the elements and sequences of the process are recited in the specification, the use of alphanumeric characters, or other designations, is not intended to limit the order in which the processes and methods of the specification occur, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application is filed in a manner inconsistent or contrary to the present specification, and except where a claim is filed in a manner limited to the broadest scope of the application (whether present or later appended to the specification). It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.
Claims (22)
1. A method of making a decision based on monitoring results of a target object, the method comprising:
acquiring a plurality of target objects, wherein each target object of the plurality of target objects comprises at least two sub-monitoring items, and acquiring sub-monitoring results of the at least two sub-monitoring items;
determining a monitoring result of the target object based on the sub-monitoring results of the at least two sub-monitoring items;
providing the monitoring result of the target object to decision equipment for health decision;
wherein the health decision comprises influencing searching and screening results of the plurality of target objects and/or pushing monitoring results of the target objects to a target object owner terminal.
2. The method of claim 1, wherein the pushing the monitoring result of the target object to a target object holder terminal comprises:
the owner terminal of the target object sends a push request for the monitoring result of the target object;
the server responds to the pushing request, obtains the monitoring result of the target object, the sub-monitoring results of at least two sub-monitoring items and corresponding text contents, and pushes the monitoring results and the sub-monitoring results to the owner terminal of the target object;
and the owner terminal of the target object displays the monitoring result of the target object, the sub-monitoring results of at least two sub-monitoring items and corresponding text contents.
3. The method of claim 1, the affecting search results for the plurality of target objects comprising:
the user terminal sends a search request for the target objects;
the server responds to the search request and obtains initial search results of the target objects;
the decision-making equipment carries out health decision on the initial search results of the target objects to obtain the search results of the target objects after adjustment;
the server sends the search results after the adjustment of the target objects to the user terminal;
and the user terminal displays the search results after the plurality of target objects are adjusted.
4. The method of claim 1, wherein providing the monitoring results of the target subject to a decision-making device for health decision-making comprises:
the decision-making equipment converts the monitoring result of the target object into corresponding search adjustment parameters, and adjusts the initial search result according to the search adjustment parameters to obtain an adjusted search result; or
And the decision equipment screens out at least one target object of which the monitoring result of the target object is higher than a preset threshold value, and outputs the target object.
5. The method of claim 1, wherein the sub-monitoring results of the sub-monitoring items comprise a bottom line safety monitoring value, a service experience monitoring value, a user activity monitoring value, an operational risk monitoring value and/or a system safety monitoring value; wherein:
the bottom line safety monitoring value is used for measuring the account safety and content safety conditions of the target object;
the service experience monitoring value is used for measuring the user experience condition of the target object;
the user activity monitoring value is used for measuring the user activity condition of the target object;
the operation risk monitoring value is used for measuring the external punishment condition of the target object;
and the system safety monitoring value is used for measuring the access performance condition of the target object.
6. The method according to claim 5, wherein when the sub-monitoring result of the sub-monitoring item is the bottom line safety monitoring value, the obtaining the sub-monitoring result of the sub-monitoring item includes:
obtaining a prediction model;
inputting the attribute information, developer information and historical user behavior information of the target object into the prediction model to determine a bottom line safety monitoring value;
wherein the prediction model is obtained by:
obtaining a training sample; wherein the training sample comprises a baseline safety monitoring value of the training target object and at least one of the following characteristics: training attribute information, developer information and historical user behavior information of a target object; marking the bottom line safety monitoring value of the training target object as a reference monitoring value;
and training an initial model based on the training sample to obtain the prediction model.
7. The method according to claim 5, wherein when the sub-monitoring result of the sub-monitoring item is the service experience monitoring value, the obtaining the sub-monitoring result of the sub-monitoring item includes:
acquiring the number of historical complaint users and the number of historical users;
and determining the service experience monitoring value based on the historical complaint user number and the historical user number.
8. The method of claim 5, wherein when the sub-monitoring result of the sub-monitoring item is a user activity monitoring value, the obtaining the sub-monitoring result of the sub-monitoring item comprises:
acquiring the number of daily active users;
and determining the user activity monitoring value according to the number of the daily active users.
9. The method according to claim 5, wherein when the sub-monitoring result of the sub-monitoring item is the operation risk monitoring value, the obtaining the sub-monitoring result of the sub-monitoring item comprises:
obtaining punishment information of the target object;
and determining the operation risk monitoring value according to the punishment information.
10. The method according to claim 5, wherein when the sub-monitoring result of the sub-monitoring item is the system security monitoring value, the obtaining the sub-monitoring result of the sub-monitoring item includes:
acquiring the access success rate and the access time consumption of the target object;
determining a success rate monitoring value and a time consumption monitoring value based on a linear rectification function;
and determining the system safety monitoring value based on the success rate monitoring value and the time consumption monitoring value.
11. A system for making a decision based on monitoring of a target object, the system comprising:
the data acquisition terminal is used for acquiring a plurality of target objects, each target object of the plurality of target objects comprises at least two sub-monitoring items, and is also used for acquiring sub-monitoring results of the at least two sub-monitoring items;
the server side is used for determining the monitoring result of the target object based on the sub-monitoring results of the at least two sub-monitoring items;
the decision equipment terminal is used for making a health decision according to the monitoring result of the target object;
wherein the health decision comprises influencing searching and screening results of the plurality of target objects and/or pushing monitoring results of the target objects to a target object owner terminal.
12. The system of claim 11, further comprising:
the target object owner terminal is used for sending a pushing request of a monitoring result of the target object;
the server side is used for responding to the pushing request, acquiring the monitoring result of the target object, the sub-monitoring results of at least two sub-monitoring items and corresponding text contents, and pushing the monitoring results, the sub-monitoring results and the corresponding text contents to the owner terminal of the target object;
and the target object owner end is used for displaying the monitoring result of the target object, the sub-monitoring results of at least two sub-monitoring items and corresponding text contents.
13. The system of claim 11, the system comprising:
the client is used for sending search requests for the target objects;
the server side is used for responding to the search request and obtaining initial search results of the target objects;
the decision equipment terminal is used for making a health decision on the initial search results of the plurality of target objects to obtain the search results after the adjustment of the plurality of target objects;
the server side is used for sending the search results after the multiple target objects are adjusted to the user terminal;
and the user side is used for displaying the search results after the plurality of target objects are adjusted.
14. The system of claim 11, wherein the decision device is further configured to:
converting the monitoring result of the target object into corresponding search adjustment parameters, and adjusting the initial search result according to the search adjustment parameters to obtain an adjusted search result; or
Screening out at least one target object of which the monitoring result is higher than a preset threshold value, and outputting the target object.
15. The system of claim 11, wherein the sub-monitoring results of the sub-monitoring items comprise a bottom line safety monitoring value, a service experience monitoring value, a user activity monitoring value, an operational risk monitoring value and/or a system safety monitoring value; wherein:
the bottom line safety monitoring value is used for measuring the account safety and content safety conditions of the target object;
the service experience monitoring value is used for measuring the user experience condition of the target object;
the user activity monitoring value is used for measuring the user activity condition of the target object;
the operation risk monitoring value is used for measuring the external punishment condition of the target object;
and the system safety monitoring value is used for measuring the access performance condition of the target object.
16. The system according to claim 15, wherein when the sub-monitoring result of the sub-monitoring item is a bottom line safety monitoring value, the data obtaining end is configured to:
obtaining a prediction model;
inputting the attribute information, developer information and historical user behavior information of the target object into the prediction model to determine a bottom line safety monitoring value; wherein the content of the first and second substances,
the data acquisition end is further used for:
obtaining a training sample; wherein the training sample comprises a baseline safety monitoring value of the training target object and at least one of the following characteristics: training attribute information, developer information and historical user behavior information of a target object; marking the bottom line safety monitoring value of the training target object as a reference monitoring value;
and training an initial model based on the training sample to obtain the prediction model.
17. The system according to claim 15, wherein when the sub-monitoring result of the sub-monitoring item is a service experience monitoring value, the data obtaining end is configured to:
acquiring the number of historical complaint users and the historical complaint users;
and determining the service experience monitoring value based on the historical complaining user number and the historical complaining user.
18. The system of claim 15, wherein when the sub-monitoring result of the sub-monitoring item is a user activity monitoring value, the data obtaining end is configured to:
acquiring the number of daily active users;
and determining the user activity monitoring value according to the number of the daily active users.
19. The system according to claim 15, wherein when the sub-monitoring result of the sub-monitoring item is an operation risk monitoring value, the data obtaining end is configured to:
obtaining punishment information of the target object;
and determining the operation risk monitoring value according to the punishment information.
20. The system according to claim 15, wherein when the sub-monitoring result of the sub-monitoring item is a system safety monitoring value, the data obtaining end is configured to:
acquiring the access success rate and the access time consumption of the target object;
determining a success rate monitoring value and a time consumption monitoring value based on a linear rectification function;
and determining the system safety monitoring value based on the success rate monitoring value and the time consumption monitoring value.
21. An apparatus for making a decision based on a monitoring result of a target object, the apparatus comprising at least one processor and at least one storage device for storing instructions that, when executed by the at least one processor, implement the method of any one of claims 1-10.
22. A computer readable storage medium storing computer instructions which, when read by a computer, cause the computer to perform the method of any one of claims 1 to 10.
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