Method and device for dynamically adjusting platform index of object

Abstract

The invention discloses a platform index dynamic adjustment method and device for an object, and the method comprises the steps: obtaining the operation information and basic information of the object, and the operation triggering information of a platform, and carrying out the feature fusion, and obtaining the multi-dimensional information of the object; determining an index dynamic correction factor of the object according to the multi-dimensional information of the object; and dynamically determining the platform index of the object according to the multi-dimensional information of the object and the dynamic index correction factor. According to feature fusion of operation information and basic information of the object and operation triggering information of the platform, multi-dimensional information of the object is obtained, respective index dynamic correction factors can be determined for different objects according to operation, basic information and the like of the object, platform indexes and the object are hooked, and the dynamic correction efficiency of the object is improved. The platform index of the object is determined individually, so that the participation degree of the object is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and device for dynamically adjusting platform indicators of an object. Background Art

[0002] When an object performs operations based on the platform, including daily operations, activity operations, and other types of operations, different operations correspond to different parameters. The platform determines the platform indicators of the object based on the object's various operation information.

[0003] Most existing methods of determining platform indicators for objects adopt a "one-size-fits-all" approach, that is, when an object participates in various operations, such as activity operations, a platform indicator with a fixed value is set for the object. This approach has problems: on the one hand, no matter how many activity operations the object participates in, the platform indicator is a fixed value, which affects its enthusiasm for participating in activity operations; on the other hand, the "one-size-fits-all" approach causes the platform to record platform indicators with fixed values, which cannot be accurately calculated with the platform's operation trigger data. Summary of the Invention

[0004] In view of the above problems, the embodiments of the present application are proposed to provide a method and apparatus for dynamically adjusting platform indicators of an object that overcomes the above problems or at least partially solves the above problems.

[0005] According to a first aspect of an embodiment of the present application, a method for dynamically adjusting platform indicators of an object is provided, comprising:

[0006] Obtain the object's operation information and basic information, as well as the platform's operation trigger information, perform feature fusion, and obtain multi-dimensional information of the object;

[0007] Determine the dynamic correction factor of the object's indicators based on the object's multi-dimensional information;

[0008] The platform indicators of the object are dynamically determined based on the multi-dimensional information of the object and the dynamic correction factor of the indicator.

[0009] Optionally, before obtaining the operation information and basic information of the object and the operation trigger information of the platform, the method further includes:

[0010] According to the object's operation details and the preset time window, the platform's operation trigger information is determined.

[0011] Optionally, determining the operation trigger information of the platform according to the operation details of the object and the preset time window further includes:

[0012] Obtain the object's detailed operation information and preprocess the detailed operation information; the preprocessing includes consistency processing of the operation time format; the detailed operation information includes detailed operation indicators;

[0013] According to the pre-processed operation details, the platform's operation trigger information is correlated and matched according to the operation identifier;

[0014] The operation time of the operation detail information is divided according to the preset time window, and the operation detail information with each time window as a period is determined. According to the operation detail indicators of each period and the preset trigger rules of the platform, the operation trigger information of the platform for different operations is determined periodically; the operation trigger information includes the platform trigger indicator; the platform trigger indicator is obtained based on the splitting of the operation detail indicators.

[0015] Optionally, obtaining operation information and basic information of the object, as well as operation trigger information of the platform, performing feature fusion, and obtaining multi-dimensional information of the object further includes:

[0016] Obtain object operation and basic information based on different data sources, as well as platform operation trigger information;

[0017] Perform feature aggregation on the object's operation information and basic information, as well as the platform's operation trigger information, to obtain the object's type features, the object's operation type features, and the object's and platform's operation trigger association features;

[0018] The object's type features, the object's operation type features, and the object's operation trigger association features are fused to obtain the object's multi-dimensional information; the object's multi-dimensional information includes the object type, the operation type, and the object's operation trigger association information.

[0019] Optionally, determining the dynamic correction factor of the index of the object according to the multi-dimensional information of the object further includes:

[0020] Based on the operation indicators of the multi-dimensional information of the object, the proportion of different operation indicators of the object is counted; the operation indicators are determined based on the detailed operation indicators;

[0021] According to the proportion and object type, match them with the preset type range to determine the dynamic correction factor of the indicator;

[0022] Dynamically determining the platform index of the object based on the object's operation information and the index dynamic correction factor further includes:

[0023] According to the operation index of the object's operation information and the platform trigger index of the platform's operation trigger information, weighted processing is performed using the index dynamic correction factor to determine the object's platform index.

[0024] Optionally, before determining the dynamic correction factor of the object's indicator based on the multi-dimensional information of the object, the method further includes:

[0025] Identify risks of objects based on their multi-dimensional information; risk identification includes whether the object identifier in the object's basic information is consistent with the object identifier in the operation information, or whether the proportion of abnormal types in the operation type is less than a preset proportion threshold;

[0026] The object status of the object is determined based on the risk identification result; the object status includes normal status and abnormal status.

[0027] Optionally, the method further comprises:

[0028] Determine whether the object state is normal;

[0029] If so, determine the dynamic correction factor of the object's indicator based on the object's multi-dimensional information;

[0030] If not, the operation information of the object is frozen, and the operation trigger information of the associated platform is determined according to the operation information, and the operation trigger information is re-determined.

[0031] Optionally, the method further comprises:

[0032] Accumulate the platform indicators of each object according to the period to obtain the platform indicators and values;

[0033] Determine whether the platform indicators and values ​​exceed the preset indicator thresholds;

[0034] If so, it is determined that the value exceeds the limit, and the platform indicators of each object are reduced according to the exceeded value, and the operation trigger information of the platform is recalculated and determined according to the preset trigger rules of the platform based on the exceeded value.

[0035] According to a second aspect of an embodiment of the present application, a device for dynamically adjusting platform indicators of an object is provided, comprising:

[0036] The fusion module is suitable for obtaining the operation information and basic information of the object, as well as the operation trigger information of the platform, performing feature fusion to obtain multi-dimensional information of the object;

[0037] A factor determination module, adapted to determine a dynamic correction factor of an object's index based on the object's multi-dimensional information;

[0038] The dynamic determination module is suitable for dynamically determining the platform indicators of the object based on the multi-dimensional information of the object and the dynamic correction factor of the indicator.

[0039] According to a third aspect of an embodiment of the present application, there is provided a computing device, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;

[0040] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the platform indicator dynamic adjustment method of the above object.

[0041] According to a fourth aspect of an embodiment of the present application, a computer storage medium is provided, in which at least one executable instruction is stored. The executable instruction enables a processor to perform operations corresponding to the platform indicator dynamic adjustment method of the above-mentioned object.

[0042] According to a fifth aspect of an embodiment of the present application, a computer program product is provided, comprising at least one executable instruction, wherein the executable instruction enables a processor to perform operations corresponding to the platform indicator dynamic adjustment method of the above-mentioned object.

[0043] According to the method and device for dynamically adjusting the platform indicators of objects provided in the present application, multi-dimensional information of the object is obtained based on the feature fusion of the object's operation information, basic information, and platform operation trigger information. It is possible to determine the dynamic correction factors of the indicators of different objects based on the object's own operations, basic information, etc., to link the platform indicators with the object itself, and personalize the platform indicators of the object, thereby improving the object's participation.

[0044] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present application. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0046] Figure 1 A flowchart of a method for dynamically adjusting platform indicators of an object according to an embodiment of the present application is shown;

[0047] Figure 2 A flowchart of a method for dynamically adjusting platform indicators of an object according to another embodiment of the present application is shown;

[0048] Figure 3 A schematic diagram showing the structure of a device for dynamically adjusting platform indicators of an object according to an embodiment of the present application is shown;

[0049] Figure 4 A schematic structural diagram of a computing device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0050] The following describes exemplary embodiments of the present application in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0051] First, the terms involved in one or more embodiments of the present application are explained.

[0052] Dynamic capping mechanism: Dynamically adjust the threshold control of platform indicators based on different operation information of objects.

[0053] Split and backtrack: Through timestamp tracking and transaction association technology, the object's operation information is accurately attributed to the actual corresponding period.

[0054] Multi-dimensional attribution: Combine multi-dimensional features such as operation information and operation trigger information to determine different operation types.

[0055] Freeze-release model: A temporary freeze is implemented when the risk identification results are in doubt.

[0056] Figure 1 A flow chart of a method for dynamically adjusting platform indicators of an object according to an embodiment of the present application is shown. Figure 1 As shown, the method includes the following steps:

[0057] Step S101: Obtain operation information and basic information of the object, as well as operation trigger information of the platform, perform feature fusion, and obtain multi-dimensional information of the object.

[0058] The platform can provide different operation opportunities. Objects can perform various operations based on the platform, generating corresponding different operation information. Different operation types generate different operation information. Even the same operation type can generate different operation information for different objects.

[0059] Accordingly, the platform will also generate different operation trigger information based on different operation information. Operation trigger information can be determined based on the operation information. When determining, the basic information of the object must also be considered. The operation information generated by different objects for the same operation will also result in different operation trigger information due to different objects.

[0060] The object's operation information and basic information are stored in the object dimension, and the platform's operation trigger information is stored in the platform dimension. To facilitate the setting of the object's platform indicators, the object's operation information, basic information, and platform's operation trigger information can be integrated into a holistic feature fusion. With the object as the center, the various information can be integrated to obtain the object's multi-dimensional information. For example, according to the association of the operation identifier in the object's operation information with the operation identifier in the platform's operation trigger information, the object identifier in the object's basic information is associated with the object identifier in the operation information to obtain the object's multi-dimensional information, realizing the fusion of the object's various information with the platform's various information, and the association of the object's operation with the platform's operation trigger. Different object operations correspond to different platform operation triggers. The object's operation and the platform's operation trigger can be matched, associated, and traced back. Therefore, the number of object operations and the value that caused the operation trigger can be determined based on the object's multi-dimensional information. The platform indicators for different objects can be dynamically determined based on the association between the object itself and the platform.

[0061] Step S102: determining a dynamic correction factor of an object's index based on the object's multi-dimensional information.

[0062] The multi-dimensional information of the object includes the operation information of the object. According to the operation information of the object, the number of operations and the result of the operation of the object can be clearly understood. The multi-dimensional data also includes the association between the operation information and the operation trigger information of the platform, so that the operation trigger information corresponding to each operation of the object can be understood. Through the association between the operation of the object and the operation trigger of the platform, the operation type of different operations can be determined (such as distinguishing different operation types according to the trigger identifier, etc.). By integrating various information, it is possible to start from the number of operations, operation results, operation types, and associated operation trigger information, such as based on the preset data ranges, and the dynamic correction factors of indicators corresponding to each data range. The dynamic correction factors of indicators for different data ranges are different. The data range can set multiple different operation number ranges, operation result data ranges, etc. for each operation type. The dynamic correction factors of the indicators of the object are determined by comparing the number of operations and operation result data of each operation type in the multi-dimensional information of the object with the preset data ranges.

[0063] Step S103 : dynamically determining the platform index of the object according to the multi-dimensional information of the object and the dynamic correction factor of the index.

[0064] After determining the dynamic correction factor for an object's indicator, the object's platform indicator also needs to be determined based on its operational information. The object's different operation types, number of operations, and results, as well as the differences between objects, also affect the magnitude of its platform indicator. Therefore, it is necessary to determine the object type based on the object's multi-dimensional information, and then calculate the number of operations and results corresponding to each operation type, as well as the trigger results of the platform operation trigger information corresponding to each operation type. For example, based on the calculation result between the object's operation results and the platform trigger results, the dynamic correction factor for the indicator can be used to weight them, ultimately resulting in the object's platform indicator.

[0065] In this embodiment, the platform indicators of each object are determined based on the multi-dimensional information of the object. The platform indicators are closely related to the operations of each object itself. For the object, the platform indicators fully reflect the results of the object's operation. For the platform, the determination of the platform indicators is also related to the platform's operation trigger information. The platform's operation trigger information affects the platform indicators. There is a correlation between the platform's operation trigger information and the platform indicators. Therefore, when the platform's operation trigger information is subsequently processed, the correlation between the trigger result of the platform's operation trigger information and the platform indicators can be accurately determined. The mutual correlation between the object's operation, the platform's trigger result, and the platform indicators can be clarified. The platform indicators will not affect the subsequent calculation of the platform's operation trigger information, ensuring the accuracy of the platform's operation trigger information.

[0066] According to the dynamic adjustment method of platform indicators of objects provided in this application, multi-dimensional information of the object is obtained based on the feature fusion of the object's operation information, basic information, and platform operation trigger information. It is possible to determine the dynamic correction factor of each indicator for different objects based on the object's own operations, basic information, etc., to link the platform indicators with the object itself, and personalize the platform indicators of the object, thereby improving the object's participation.

[0067] Figure 2 A flow chart of a method for dynamically adjusting platform indicators of an object according to an embodiment of the present application is shown. Figure 2 As shown, the method includes the following steps:

[0068] Step S201: Determine the operation trigger information of the platform according to the operation details of the object and the preset time window.

[0069] When an object performs various operations on the platform, detailed operation information is generated, including object identification, operation time, and detailed operation indicators (such as the results of the operation). Different objects perform different operations on the platform, and corresponding detailed operation information can be recorded for each object. Detailed operation information can include details of various operations performed by an object on the platform. The recorded detailed operation information can be aggregated to obtain aggregated operation information for the same operation, which is not explained in detail here.

[0070] When the platform determines platform indicators for each object, it determines the platform indicators according to the cycle. The cycle is divided into time windows. The operation time in the operation details information is used to determine the cycle it is in. However, considering that the objects may be in different regions and stored in different data sources, there may be inconsistencies in the data storage format of their operation time. When the objects are in different time zones, the operation time may also have time zone, delay and other issues. Therefore, after obtaining the operation details information of the object, the operation details information is first preprocessed. Preprocessing includes, for example, operation time format consistency processing. Specifically, after obtaining the operation details information of each object, objects in different time zones are converted to a unified time zone according to the preset time zone. The obtained operation time also needs to be converted to a unified format according to the preset format, and finally the operation time with a consistent format is obtained. Here, the preprocessed operation details information can be persistently stored, such as in Hive, etc., to facilitate the subsequent aggregation of operation information, determination of platform indicators, etc.

[0071] The object's operation details information contains information related to the object's operation, which indicates the object's operation behavior. It also needs to be associated and matched with the platform's operation trigger information according to the operation identifier, so as to determine the association between the object's operation details indicators generated by the operation and the platform's platform trigger indicators. That is, the object operation will generate indicators on both the object and the platform. Through the operation identifier association, the object's operation indicators can be associated with the platform's platform trigger indicators, so that the platform indicators can be determined based on the associated operation indicators and platform trigger indicators.

[0072] Operation details include detailed operations on an object at various times. When determining platform indicators, they are determined on a cycle-by-cycle basis. Therefore, the operation time of the operation details information needs to be divided into preset time windows to determine the operation details information for each time window. For example, the preset time window can be monthly, with one cycle being one month. Based on the operation details indicators for each cycle, the platform's preset trigger rules can be used to determine operation trigger information for different operations on a cycle-by-cycle basis. These preset trigger rules include, for example, the object type determined by the object identifier, different operation types corresponding to the operation identifier, and preset ratios. The operation trigger information includes platform trigger indicators, which are derived by decomposing the operation details indicators. Specifically, the operation details indicators are decomposed based on the object's operation details indicators according to preset trigger rules, such as those based on different object types, operation types, and preset ratios. Part of the data is then extracted and used as the platform trigger indicator. This means that after an object operation, an operation trigger result is generated on the platform. For example, if the operation details indicator for an object is 80, and according to a preset trigger rule, such as 10%, 80 * 10% = 8, the platform trigger indicator is 8. The above examples are illustrative and will be implemented based on specific circumstances. These are not limitations. Platform trigger indicators are separated from detailed operation indicators, but they do not reduce detailed operation indicators. Platform trigger indicators are used to record the results of platform operation triggers and are affected by the object's operation. When subsequently calculating the object's platform indicator, the platform trigger indicator is removed from the object's operation indicator, and the platform indicator is determined based on the calculation of the two.

[0073] By processing the object's operation detail information according to a period, the object's operation detail information (obtained by aggregating the object's operation information) can be matched with the platform's operation trigger information according to a period.

[0074] Step S202 : acquiring operation information and basic information of the object and operation trigger information of the platform based on different data sources, performing feature fusion, and obtaining multi-dimensional information of the object.

[0075] According to the data source of the object, the basic information of the object and the operation information of the object are obtained. The basic information of the object may include information such as object identification and object attributes. The operation information of the object is a summary of the detailed operation information of the object, including information such as object identification, operation identification, operation indicators (such as the operation results generated by the operation, etc.). According to the data source of the platform, the operation trigger information of the platform can be obtained. The operation trigger information includes the operation identification when the operation is constructed, the operation type, the platform trigger indicator generated after the object is operated (that is, the operation results generated on the platform after the object is operated), etc.

[0076] By aggregating the object's operation information and basic information obtained from different data sources, as well as the platform's operation trigger information, we can obtain the object's type features, the object's operation type features, and the object's operation trigger association features. The association features can associate the object's operation results with the platform's operation results, thereby obtaining data on the object's impact on the platform from the object dimension. By fusing various features, such as the object's type features, the object's operation type features, and the object's operation trigger association features with the platform's operation trigger, we can obtain multi-dimensional information about the object. The object's multi-dimensional information includes the object type, operation type, and object-platform operation trigger association information.

[0077] Here, the multi-dimensional information of an object is centered around the object, integrating all the information required for the platform's indicators. During processing, each object can be processed based on the object's multi-dimensional information, eliminating the need to obtain various information from different data sources for processing. This provides a data foundation for subsequent operations, making subsequent operations more convenient. The multi-dimensional information of an object is determined based on the object's operation information and the platform's operation trigger information. It can also be obtained on a periodic basis, that is, the obtained multi-dimensional information of the object is obtained on a periodic basis, such as obtaining the object's operation information and the platform's operation trigger information in April to obtain the multi-dimensional information of the object in April.

[0078] Step S203 : performing risk identification on the object based on the multi-dimensional information of the object, and determining the object state of the object based on the risk identification result.

[0079] Before dynamically determining platform indicators, risk identification is required for the object to determine whether platform indicators can be determined normally for the object. Risk identification is performed based on the object's multi-dimensional information. This includes, for example, determining whether the object identifier in the object's basic information is consistent with the object identifier in the operation information. This can determine whether the operation was performed by the object itself. If they are consistent, the operation was performed by the object itself. If they are inconsistent, the operation was not performed by the object, and the risk identification result is abnormal. The object identifier can include various identifiers, such as images, videos, and text representing the object, which are not limited here. Risk identification can also include, for example, determining the various operation types of the object based on the object's multi-dimensional information. Based on the operation types, calculating the proportion of abnormal types within the operation types and determining whether this proportion is less than a preset proportion threshold. If not, the object operation is abnormal, and the risk identification result is abnormal. The above risk identification is for illustrative purposes only and should be set according to the specific implementation. If the risk identification result obtained from any risk identification is abnormal, the final risk identification result will be abnormal.

[0080] The object state can be determined based on the risk identification result. If the risk identification result is abnormal, the object state is abnormal; otherwise, the object state is normal.

[0081] The object status reflects the current situation of the object when it is operating on the platform. If the object status is abnormal, risk management is required for the object. At this time, the platform indicators of the object will no longer be dynamically adjusted. The object needs to manage its own object status. Only when it operates in a normal state will the platform indicators of the object be dynamically adjusted.

[0082] Step S204: determine whether the object state is normal.

[0083] A judgment is made based on the object status to determine whether the object status is normal. If so, step S205 is executed to continue the subsequent dynamic adjustment of the platform indicators. If not, step S209 is executed to freeze the current operation information of the object. The object needs to adjust its own object status first.

[0084] Step S205: determining the dynamic correction factor of the object's index based on the multi-dimensional information of the object.

[0085] When an object's state is normal, a dynamic correction factor for the indicator corresponding to the object's own operation information can be determined based on the object's multi-dimensional information, including the object type and operation information. The size of the dynamic correction factor affects the object's platform indicator. By using the dynamic correction factor, the object's platform indicator can be adjusted to better match the object's own operation, thereby increasing the object's enthusiasm for platform operations.

[0086] Specifically, based on the object's multi-dimensional information, which includes the object's operation information and its association with the platform's operation trigger information, and the platform's operation trigger information, which includes both an operation identifier and a trigger identifier, different operations can be distinguished according to their respective operation types. Different operation types will also have different operation indicators. In addition to determining the operation indicator based on the operation type, each operation indicator can also be classified according to preset operation indicator classification rules. Specifically, different operation indicators include not only the operation indicator value but also the operation indicator type. The specific setting depends on the implementation and is not limited here. Based on the different operation indicators, statistics can be collected for each object's operation indicators. For example, statistics are collected by operation indicator type, and the operation indicator values ​​of each operation indicator type are counted to determine the contribution of each operation indicator type to the overall operation indicator value for each object's different operation indicators. For example, the operation indicator value of operation indicator type 1 accounts for 30%, while the operation indicator value of operation indicator type 2 accounts for 10%, and so on. Based on each proportion and the object type, the dynamic correction factor for the indicator is determined by matching the preset type range. Considering that different object types may involve different types of operations and the number of operation indicators, different type ranges can be set for different object types during matching. For example, for object type 1, the preset type range includes 20% of operation indicator type 1 and an 80% dynamic indicator correction factor; for object type 2, the preset type range includes 30% of operation indicator type 1 and an 80% dynamic indicator correction factor. Specific settings will depend on implementation and are not limited here.

[0087] Step S206 : Dynamically determine the platform index of the object based on the multi-dimensional information of the object and the index dynamic correction factor.

[0088] After determining the dynamic correction factor of the object's indicator, when determining the object's platform indicator, the indicator dynamic correction factor plays the role of weighting the indicator that the object has already obtained, that is, based on the operation indicator of the object's operation information and the platform trigger indicator of the platform's operation trigger information, first determine the indicator that the object itself can obtain, such as the operation indicator of the object's operation information minus the platform trigger indicator of the platform's operation trigger information. The calculated result is the indicator obtained by the object, and it is weighted using the indicator dynamic correction factor to determine the object's platform indicator.

[0089] In this embodiment, the platform indicators of the object are determined according to the cycle, that is, the multi-dimensional information of the object of a cycle is first obtained, and the dynamic correction factor of the indicator is determined based on the multi-dimensional information of the object of the cycle, so as to be used for dynamic adjustment. Then, the operation indicator contained in the operation information in the multi-dimensional information of the object and the platform trigger indicator contained in the operation trigger information of the platform are used to calculate the index of the object in the cycle, and the dynamic correction factor of the indicator is used to dynamically adjust it, and finally the platform indicator of the object is obtained. The platform indicator of the object is closely related to the multi-dimensional information of the object. The number of operations, operation types, and operation indicators of the object will affect the platform indicator of the object, thereby improving the participation of the object. The platform indicator is affected by the platform trigger indicator, and the platform can also accurately perform subsequent accounting and other processing based on the platform trigger indicator and platform indicator. Compared with the existing "one size fits all" method, it is more suitable for platform data accounting.

[0090] Step S207 , accumulating the platform indicators of each object according to the period to obtain the platform indicator sum value, and determining whether the platform indicator sum value exceeds a preset indicator threshold.

[0091] For each object of the platform, the platform index of each object in the period may be accumulated according to the period to obtain the platform index and value of each object in the period.

[0092] The platform index and value are compared with the preset index threshold. If the platform index and value exceed the preset index threshold, step S208 is executed. If not, the calculated platform index is used as the final platform index of the object.

[0093] Step S208: determine the excess value, reduce the platform indicators of each object according to the excess value, and recalculate the operation trigger information of the platform according to the preset trigger rules of the platform based on the excess value.

[0094] If the platform indicator and value exceed the preset indicator threshold, the excess value is determined based on the portion of the platform indicator and value that exceeds the preset indicator threshold. Based on the excess value, the platform indicator of each object can be reduced. For example, based on the number of objects, the platform indicator of each object can be reduced by the excess value / number of objects; or based on the object type, the object operation type, the object's platform indicator, etc., the specific reduction value is determined so that the platform indicator of each object can be reduced according to the excess value, and the final platform indicator and value of each object after the reduction does not exceed the preset indicator threshold.

[0095] Here, the preset indicator threshold can be set by the platform to numerically control the platform indicators of each object. The specific setting depends on the implementation situation and is not limited here.

[0096] After the platform indicators of the object are reduced, the excess values ​​can be reallocated to the platform trigger indicators. Specifically, when the platform indicators of the object are reduced to the excess values, the excess values ​​can be reallocated to the platform trigger indicators of the platform. For example, the platform trigger indicators of the platform's operation trigger information are recalculated and determined according to the preset trigger rules of the platform. When the platform indicator is reduced to the excess value, its operation indicator will not be reduced. In order to ensure that the reduced platform indicator can be accurately calculated with the object's operation indicator and the platform trigger indicator of the platform in the subsequent calculation, the excess value needs to be returned to the platform trigger indicator. The preset trigger rules are as described in step S201. According to the calculation method of step S201, the excess value is returned to the platform trigger indicator according to the preset trigger rules. For example, when the platform indicator of the object is reduced to the excess value, the platform indicator of the object is obtained by the various operation indicators of the object, and the various operation indicators of the object are involved in the reduction process. If the operation indicators of the object include operation indicators 1, 2, and 3, when the platform trigger indicator of the platform is re-determined, the corresponding preset trigger rules can be determined based on the operation indicators 1, 2, and 3 of the object. Accordingly, when the operation indicators of the object remain unchanged, the platform trigger indicator of the platform is recalculated according to the exceeded value. Since step S201 has determined the preset trigger rules corresponding to each operation indicator (operation detail indicator) when calculating the platform trigger indicator, the corresponding preset trigger rules can be directly used for calculation. For example, the reduced value of the platform indicator of the object is amortized according to each operation indicator, and the amortized reduced value of each operation indicator is calculated with the preset trigger rule to obtain the increased value of the platform trigger indicator in the operation trigger information of the corresponding platform. The increased value is added to the original platform trigger indicator, and the platform trigger indicator is recalculated and determined. The above is an example, which is specifically set according to the implementation situation and is not limited here.

[0097] Step S209 : freeze the operation information of the object, determine the operation trigger information of the associated platform according to the operation information, and re-determine the operation trigger information.

[0098] If the object's state is abnormal, to ensure the security of both the platform and the object's indicators, the object's operation information can be frozen first. For example, if the state of the operation indicator of the operation information is modified to be frozen, the object's platform indicator can be frozen instead of being set based on the operation indicator. The platform trigger indicator of the operation trigger information of the platform associated with the object's operation information can be recalculated and determined. For example, based on the operation indicators in the object's operation information, all of them can be set to the corresponding platform trigger indicators. At this time, the calculation result of the platform indicator can be 0, ensuring normal calculation during accounting.

[0099] For frozen operation information, based on changes in the object's status, such as when the object returns to normal, the operation information can be unfrozen, and the platform trigger indicators for the platform's operation trigger information can be re-determined, and the platform indicators can be recalculated. Alternatively, depending on the implementation, the platform indicators for the object in that period can be omitted and determined based on the settings, etc. (This is not limited here).

[0100] This embodiment uses cycles as units to determine the platform's operation trigger information based on the operation details, making it convenient to obtain multi-dimensional information of the object according to the cycles, and then determine the platform indicators of the object in units of cycles.

[0101] According to the method for dynamically adjusting platform indicators for an object provided in this application, the platform trigger indicator corresponding to the platform operation trigger information of the platform is calculated and determined based on the operation detail indicators of the operation detail information generated by the object operation, according to a preset time window as a period, thereby determining the operation result of the object and the corresponding platform result of the platform. By integrating the features of the object's operation information, basic information, and the platform's operation trigger information, multi-dimensional information centered on the object is obtained. Utilizing this multi-dimensional information, each object is assigned an indicator dynamic correction factor based on the operation information generated by its own operation, thereby determining the platform indicator of the object. The object's operation information is associated with the platform's operation trigger information, and the operation type and different operation indicators of different operations can be determined. Finally, the object's platform indicator is obtained based on the operation indicator, platform trigger indicator, and indicator dynamic correction factor. This achieves the linking of platform indicators with the object itself, personalizing the determination of the object's platform indicator, thereby improving the object's participation. Furthermore, by increasing risk identification, objects can be effectively managed. Platform indicators of objects in abnormal states can be managed, the operation information of objects in abnormal states can be frozen, and the operation trigger information can be re-determined and processed, which can prevent subsequent errors in the calculation of platform indicators.

[0102] Figure 3 The following is a schematic diagram showing the structure of a device for dynamically adjusting platform indicators of an object provided by an embodiment of the present application. Figure 3 As shown, the device includes:

[0103] The fusion module 310 is adapted to obtain the operation information and basic information of the object, as well as the operation trigger information of the platform, perform feature fusion, and obtain multi-dimensional information of the object;

[0104] A factor determination module 320 is adapted to determine a dynamic correction factor of an indicator of an object based on multi-dimensional information of the object;

[0105] The dynamic determination module 330 is adapted to dynamically determine the platform index of the object based on the multi-dimensional information of the object and the dynamic correction factor of the index.

[0106] Optionally, the device further includes: a trigger determination module 340, adapted to determine the operation trigger information of the platform according to the operation details of the object and a preset time window.

[0107] Optionally, the trigger determination module 340 is further adapted to:

[0108] Obtain the object's detailed operation information and preprocess the detailed operation information; the preprocessing includes consistency processing of the operation time format; the detailed operation information includes detailed operation indicators;

[0109] According to the pre-processed operation details, the platform's operation trigger information is correlated and matched according to the operation identifier;

[0110] The operation time of the operation detail information is divided according to the preset time window, and the operation detail information with each time window as a period is determined. According to the operation detail indicators of each period and the preset trigger rules of the platform, the operation trigger information of the platform for different operations is determined periodically; the operation trigger information includes the platform trigger indicator; the platform trigger indicator is obtained based on the splitting of the operation detail indicators.

[0111] Optionally, the fusion module 310 is further adapted to:

[0112] Obtain object operation and basic information based on different data sources, as well as platform operation trigger information;

[0113] Perform feature aggregation on the object's operation information and basic information, as well as the platform's operation trigger information, to obtain the object's type features, the object's operation type features, and the object's and platform's operation trigger association features;

[0114] The object's type features, the object's operation type features, and the object's operation trigger association features are fused to obtain the object's multi-dimensional information; the object's multi-dimensional information includes the object type, the operation type, and the object's operation trigger association information.

[0115] Optionally, the factor determination module 320 is further adapted to:

[0116] Based on the operation indicators of the multi-dimensional information of the object, the proportion of different operation indicators of the object is counted; the operation indicators are determined based on the detailed operation indicators;

[0117] According to the proportion and object type, match them with the preset type range to determine the dynamic correction factor of the indicator;

[0118] The dynamic determination module 330 is further adapted to:

[0119] According to the operation index of the object's operation information and the platform trigger index of the platform's operation trigger information, weighted processing is performed using the index dynamic correction factor to determine the object's platform index.

[0120] Optionally, the apparatus further includes: a risk identification module 350, adapted to perform risk identification on the object based on the multi-dimensional information of the object; the risk identification includes whether the object identifier in the basic information of the object is consistent with the object identifier in the operation information or whether the proportion of abnormal types in the operation type is less than a preset proportion threshold;

[0121] The object status of the object is determined based on the risk identification result; the object status includes normal status and abnormal status.

[0122] Optionally, the device also includes: a state processing module 360, which is suitable for determining whether the state of the object is normal; if so, determining the dynamic correction factor of the object's index based on the multi-dimensional information of the object; if not, freezing the operation information of the object, and determining the operation trigger information of the associated platform based on the operation information, and re-determining the operation trigger information.

[0123] Optionally, the device also includes: a sum value determination module 370, which is suitable for accumulating the platform indicators of each object according to a period to obtain the platform indicator sum value; judging whether the platform indicator sum value exceeds the preset indicator threshold; if so, determining the excess value, reducing the platform indicator of each object according to the excess value, and recalculating the platform's operation trigger information according to the preset trigger rules of the platform based on the excess value.

[0124] The description of each module above refers to the corresponding description in the method embodiment and will not be repeated here.

[0125] According to the platform indicator dynamic adjustment device for objects provided in this application, multi-dimensional information of the object is obtained based on the feature fusion of the object's operation information, basic information, and platform operation trigger information. It is possible to determine the dynamic correction factor of each indicator for different objects based on the object's own operations, basic information, etc., to link the platform indicators with the object itself, and personalize the platform indicators of the object, thereby improving the object's participation.

[0126] The present application also provides a non-volatile computer storage medium, which stores at least one executable instruction. The executable instruction can execute operations corresponding to the platform indicator dynamic adjustment method of the object in any of the above method embodiments.

[0127] The present application also provides a computer program product, which includes at least one executable instruction or computer program, and the executable instruction or computer program can enable a processor to perform operations corresponding to the platform indicator dynamic adjustment method of the object in any of the above method embodiments.

[0128] Figure 4 A schematic structural diagram of a computing device according to an embodiment of the present application is shown. The specific embodiment of the present application does not limit the specific implementation of the computing device.

[0129] like Figure 4 As shown, the computing device may include: a processor 402 , a communications interface 404 , a memory 406 , and a communication bus 408 .

[0130] in:

[0131] The processor 402 , the communication interface 404 , and the memory 406 communicate with each other via a communication bus 408 .

[0132] The communication interface 404 is used to communicate with other devices such as clients or other servers.

[0133] The processor 402 is configured to execute the program 410 , and specifically to execute the relevant steps in the embodiment of the platform indicator dynamic adjustment method of the above object.

[0134] Specifically, the program 410 may include program codes, which include computer operation instructions.

[0135] Processor 402 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the present application. The one or more processors included in the computing device may be processors of the same type, such as one or more CPUs, or may be processors of different types, such as one or more CPUs and one or more ASICs.

[0136] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0137] Program 410 can be specifically used to cause processor 402 to execute the method for dynamically adjusting the platform index of an object in any of the above-mentioned method embodiments. The specific implementation of each step in program 410 can refer to the corresponding descriptions in the corresponding steps and units in the above-mentioned platform index dynamic adjustment embodiment of the object, and will not be repeated here. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the above-mentioned devices and modules can refer to the corresponding process description in the above-mentioned method embodiment, and will not be repeated here.

[0138] The algorithm or display provided herein is not inherently related to any particular computer, virtual system or other device. Various general-purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the application is not directed to any specific programming language. It should be understood that various programming languages ​​can be utilized to implement the content of the application described herein, and the above description of specific languages ​​is for the purpose of disclosing the preferred embodiment of the application.

[0139] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0140] Similarly, it should be understood that in order to streamline the present application and aid in understanding one or more of the various inventive aspects, in the above description of the exemplary embodiments of the present application, various features of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed application requires more features than are expressly recited in each claim. Rather, as reflected in the claims below, inventive aspects lie in fewer than all the features of the individual embodiments disclosed above. Accordingly, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim itself serving as a separate embodiment of the present application.

[0141] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0142] Furthermore, those skilled in the art will appreciate that although some embodiments herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of this application and to form different embodiments. For example, in the claims below, any of the claimed embodiments may be used in any combination.

[0143] The various component embodiments of the present application can be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components of the present application. The application can also be implemented as a device or apparatus program (e.g., computer program and computer program product) for performing a part or all of the methods described herein. Such a program implementing the present application can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0144] It should be noted that the above embodiments illustrate rather than limit the present application, and that a person skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present application may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments should not be understood as limiting the order of execution unless otherwise specified.

Claims

1. A method for dynamically adjusting platform indicators of an object, comprising: Obtain the object's operation information and basic information, as well as the platform's operation trigger information, perform feature fusion, and obtain multi-dimensional information of the object; Determining a dynamic correction factor of an indicator of the object based on the multi-dimensional information of the object; The platform index of the object is dynamically determined according to the multi-dimensional information of the object and the dynamic correction factor of the index.

2. The method according to claim 1, wherein Before obtaining the operation information and basic information of the object and the operation trigger information of the platform, the method further includes: According to the object's operation details and the preset time window, the platform's operation trigger information is determined.

3. The method according to claim 2, wherein: The determining of the platform's operation trigger information according to the object's operation details and the preset time window further includes: Obtaining detailed operation information of the object and preprocessing the detailed operation information; the preprocessing includes consistency processing of the operation time format; the detailed operation information includes detailed operation indicators; According to the pre-processed operation details, the platform's operation trigger information is correlated and matched according to the operation identifier; The operation time of the operation detail information is divided according to the preset time window, and the operation detail information with each time window as a period is determined. According to the operation detail indicators of each period and the preset trigger rules of the platform, the operation trigger information of the platform for different operations is determined periodically; the operation trigger information includes the platform trigger indicator; the platform trigger indicator is obtained based on the splitting of the operation detail indicator.

4. The method according to any one of claims 1 to 3, wherein The acquiring of the operation information and basic information of the object, as well as the operation trigger information of the platform, and performing feature fusion to obtain the multi-dimensional information of the object further includes: Obtaining operation information and basic information of the object based on different data sources, as well as operation triggering information of the platform; Performing feature aggregation on the operation information and basic information of the object and the operation trigger information of the platform to obtain the type feature of the object, the operation type feature of the object, and the operation trigger association feature between the object and the platform; The type features of the object, the operation type features of the object, and the operation trigger association features of the object and the platform are fused to obtain multi-dimensional information of the object; the multi-dimensional information of the object includes the object type, the operation type, and the object and platform operation trigger association information.

5. The method according to claim 4, wherein Determining the dynamic correction factor of the object's index based on the multi-dimensional information of the object further includes: According to the operation indicators of the operation information of the multi-dimensional information of the object, the proportion of different operation indicators of the object is counted; the operation indicators are determined according to the operation detail indicators; According to the proportion and object type, the dynamic correction factor of the indicator is determined by matching it with the preset type range; The dynamically determining the platform index of the object according to the operation information of the object and the index dynamic correction factor further includes: The platform index of the object is determined by performing weighted processing based on the operation index of the operation information of the object and the platform trigger index of the operation trigger information of the platform using the index dynamic correction factor.

6. The method according to any one of claims 1 to 5, wherein Before determining the dynamic correction factor of the object's index based on the multi-dimensional information of the object, the method further includes: Perform risk identification on the object based on the multi-dimensional information of the object; the risk identification includes whether the object identifier in the basic information of the object is consistent with the object identifier in the operation information or whether the proportion of abnormal types in the operation type is less than a preset proportion threshold; The object state of the object is determined according to the risk identification result; the object state includes a normal state and an abnormal state.

7. The method according to claim 6, wherein: The method further comprises: Determining whether the object state is normal; If so, determining a dynamic correction factor for the object's indicator based on the multi-dimensional information of the object; If not, the operation information of the object is frozen, and the operation trigger information of the associated platform is determined according to the operation information, and the operation trigger information is re-determined.

8. The method according to any one of claims 1 to 7, wherein The method further comprises: Accumulate the platform indicators of each object according to the period to obtain the platform indicators and values; Determining whether the platform indicator and value exceeds a preset indicator threshold; If so, the exceeded value is determined, the platform indicators of each object are reduced according to the exceeded value, and the operation trigger information of the platform is recalculated and determined according to the exceeded value and the preset trigger rules of the platform.

9. A device for dynamically adjusting platform indicators of an object, comprising: The fusion module is suitable for obtaining the operation information and basic information of the object, as well as the operation trigger information of the platform, performing feature fusion to obtain multi-dimensional information of the object; A factor determination module, adapted to determine a dynamic correction factor of an indicator of an object based on multi-dimensional information of the object; The dynamic determination module is adapted to dynamically determine the platform index of the object according to the multi-dimensional information of the object and the dynamic correction factor of the index.

10. A computing device comprising: A processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute an operation corresponding to the platform indicator dynamic adjustment method of any one of claims 1 to 8.

11. A computer storage medium, wherein at least one executable instruction is stored in the storage medium, wherein the executable instruction enables a processor to execute operations corresponding to the platform indicator dynamic adjustment method of any one of claims 1 to 8.

12. A computer program product comprising at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the method for dynamically adjusting platform indicators of an object according to any one of claims 1 to 8.

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