CN113761210A - Information processing method and system based on report text information identification - Google Patents
Information processing method and system based on report text information identification Download PDFInfo
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Abstract
The invention relates to an information processing method and system based on report text information identification, which can determine the access priority of each associated report analysis platform system according to the first access heat of each associated report analysis platform system, can realize that the associated report analysis platform system with high access heat accesses to determine the item description information of target report text items, compared with the prior technology of accessing all prior example service filling records, the embodiment of the application can obviously improve the access amount and the corresponding resource expenditure, thereby improving the timeliness of item description positioning, rapidly and accurately performing derived report text item completion processing on the target service filling record based on the item description information, and further ensuring the integrity and richness of the filling information of the target service filling record, and avoiding the problem of low credibility when the target service filling record is subsequently used for service processing and related service judgment.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to an information processing method and system based on report text information identification.
Background
With the continuous popularization of online services, the filling and uploading of various message texts are mostly performed based on the internet. Generally speaking, the fields involved in the filling of report text include, but are not limited to, intelligent medical services, teleworking services, game anti-addiction services, credit reporting services, product production reporting services, and the like. However, in the actual application process, the report text filling may be missed or lost, and the prior art is difficult to complete the information of the report text, so that the completeness and richness of the filled information are difficult to ensure.
Disclosure of Invention
In a first aspect, an embodiment of the present application provides an information processing method based on report text information identification, where the method is performed by an information processing system, and the method includes: receiving a target service filling record captured by a cloud service interaction server and a classification keyword of the cloud service interaction server; determining a plurality of associated report analysis platform systems which are in contact with the cloud service interaction server according to the classified keywords; the different association report analysis platform systems correspond to the different first access heat; determining the access priority of each correlation report analysis platform system according to the first access heat of the plurality of correlation report analysis platform systems; accessing the association report analysis platform system based on the access priority, and determining item description information of a target report text item corresponding to the target service filling record; the association report analysis platform system comprises a sample service filling record of not less than one set report text item and item description information of each set report text item.
Applied to the embodiment of the application, the access priority of each association report analysis platform system is determined according to the first access heat of each association report analysis platform system, the item description information of the target report text item can be determined by accessing from the association report analysis platform system with high access heat, compared with the prior technology of accessing all prior example service filling records in an armed way, the embodiment of the application can obviously improve the access amount and the corresponding resource cost, thereby improving the timeliness of item description positioning, rapidly and accurately performing derived report text item completion processing on the target service filling record based on the item description information, and further ensuring the integrity and richness of the filling information of the target service filling record, and avoiding the problem of low credibility when the target service filling record is subsequently used for service processing and related service judgment.
For some preferred embodiment modes, the accessing the associated report analysis platform system based on the access priority to determine item description information of a target report text item corresponding to the target service filling record includes: mining the service filling key content of the target service filling record; based on the access priority, binding the service filling key content of the target service filling record with the service filling key content of the sample service filling record in the associated report analysis platform system to obtain a first binding quality evaluation of the target service filling record and the sample service filling record; selecting a sample service report record from the correlation report analysis platform system, wherein the first binding quality evaluation exceeds a first set judgment value; and determining the item description information corresponding to the selected sample service filling record as the item description information of the target report text item.
The method and the device are applied to the embodiment, the target business filling record and the example business filling record are bound according to the business filling key content, the example business filling record of the target report text item can be accurately positioned as far as possible, and then the item description information of the target report text item can be accurately determined as far as possible.
For some preferred embodiment modes, the determining, according to the classification keyword, a plurality of association report analysis platform systems in contact with the cloud service interaction server includes: according to the classification keywords, positioning a cloud service interaction service cluster corresponding to the cloud service interaction server from at least one service cluster which is deployed in advance; each service cluster comprises not less than one server; determining a plurality of association report analysis platform systems associated with a cloud service interaction service cluster based on cluster keywords of the cloud service interaction service cluster; the method comprises the following steps that a plurality of associated report analysis platform systems with associations are respectively added to each service cluster in advance; and determining the plurality of determined association report analysis platform systems as a plurality of association report analysis platform systems in contact with the cloud service interaction server.
The method and the device are applied to the embodiment of the application, and the servers in the same service cluster have the same or similar characteristics, so that a plurality of associated report analysis platform systems corresponding to the whole service cluster are communicated on each server in the service cluster, on one hand, the access precision can be improved, and on the other hand, the access efficiency can be ensured.
For some preferred embodiment modes, before the locating, according to the classification keyword, a cloud service interaction service cluster corresponding to the cloud service interaction server from at least one service cluster deployed in advance, the method further includes: acquiring multi-modal performance characteristics of a plurality of servers and distribution characteristics of a plurality of set spatial constraints; respectively determining a server in each space constraint based on the distribution label corresponding to each server and the distribution characteristic of each space constraint; for each spatial constraint, determining a performance feature commonality value between any two servers according to the multi-modal performance features of each server within the spatial constraint; clustering the servers in the space constraint into at least one service cluster according to the determined performance characteristic common value; and the performance characteristic commonality value between different servers in the same service cluster exceeds a second set judgment value.
The method and the device are applied to clustering of the service clusters based on the multi-modal performance characteristics of the servers, the corresponding distribution labels and the like, the fact that the multi-modal performance characteristics are high in association degree is achieved, the servers corresponding to the same space constraint are clustered to the same service cluster, and therefore the similarity of the service report types corresponding to the servers in the same service cluster is high, and therefore the association report analysis platform system which can be accessed by the servers in the same service cluster can ensure the efficiency of event description mining.
For some preferred embodiment modes, the multi-modal performance characteristics of the server include one or more of information of an interactive object corresponding to the server, scene type information of the server, and multi-modal performance characteristics of a hot spot report text transaction of the server.
The server partitioning method and the server partitioning system are applied to the server partitioning method and the server partitioning system, the features of the corresponding servers can be determined as rich and accurate as possible based on the layers, one or more kinds of information in the layers are determined as multi-mode performance features of the servers, the performance feature common value (feature similarity) can be determined more accurately, and therefore the servers can be partitioned accurately.
For some preferred embodiment modes, before determining, by the cluster keyword based on the cloud service interaction service cluster, a plurality of association report analysis platform systems associated with the cloud service interaction service cluster, the method further includes: acquiring first original service filling records captured by each server in the service cluster and item description information of report text items set in each group of the first original service filling records; based on item description information of report text items set in each group of first original service filling records, determining at least one first original service filling record sequence with the same item description information; determining text word vector distances between first original service filling records with differences in the first original service filling record sequences aiming at each group of first original service filling record sequences; according to the text word vector distance, marking a sample service filling record for setting report text items from the first original service filling record sequence; wherein, the text word vector distance between different example service filling records of the set report text items exceeds a third set judgment value; and generating a correlation report analysis platform system for the service cluster according to the example service filling record and the item description information of the example service filling record.
The method and the device are applied to the embodiment of the application, the first original business reporting record with large text word vector difference is determined as the example business reporting record, so that aiming at the same set report text item, the item description analysis can be carried out on the basis of the target business reporting record captured by the set report text item under various text word vector dimensions, and the accuracy and the reliability of the item description analysis can be improved.
For some preferred embodiments, the step of marking an example service filling record of a set report text entry from the first original service filling record sequence according to the text word vector distance comprises: for at least two groups of first original business reporting records in the first original business reporting record sequence, wherein the text word vector distance between the records is not more than a third set judgment value, determining first quantitative feedback of a business reporting content set corresponding to set report text items in the at least two groups of first original business reporting records; and determining the first original business filling record with the optimal first quantitative feedback in the at least two groups of first original business filling records as the example business filling record of the set report text items.
The method is applied to the embodiment, aiming at the same set report text item, on the basis of small vector difference of text words, the first original business filling record with better evaluation is selected and determined as the example business filling record, so that the accuracy and the reliability of item description analysis can be improved.
For some preferred embodiment modes, the generating a correlation report analysis platform system for the service cluster according to the example business reporting records and the item description information of the example business reporting records includes: determining a second access heat of each group of example service filling records; respectively determining the associated report analysis platform systems associated with each group of example service filling records based on the second access heat of each group of example service filling records and the first access heat corresponding to each associated report analysis platform system; and for each group of example service filling records, storing the example service filling records and item description information of report text items set in the example service filling records into an associated report analysis platform system with association.
The method and the device are applied to the embodiment of the application, based on the second access heat of the example service filling record and the first access heat corresponding to each associated report analysis platform system, the associated report analysis platform system associated with the example service filling record can be determined as accurately as possible, and therefore the accuracy of the first access heat corresponding to the associated report analysis platform system can be improved.
For some preferred embodiment modes, after determining the item description information of the target report text item corresponding to the target service filling record, the method further includes: continuously adjusting the access statistics of the sample service filling records of the target report text items; continuously adjusting the second access heat of the sample service filling record of the target report text item based on the continuously adjusted access statistical result and the access time sequence characteristics of each round of access; based on the first access heat corresponding to each associated report analysis platform system and the second access heat of the example service filling record of the target report text item, locating a target report analysis platform system which is associated with the example service filling record of the target report text item from the plurality of associated report analysis platform systems; acquiring the number of service filling records of the example service filling records in the target report analysis platform system; and when the target report analysis platform system is different from the associated report analysis platform system where the sample business filling records of the target report text items are located currently and the number of the business filling records is less than a fourth set judgment value, migrating the sample business filling records of the target report text items and the item description information corresponding to the sample business filling records from the associated report analysis platform system where the sample business filling records are located currently to the target report analysis platform system.
The method is applied to the embodiment of the application, and the example business filling records are loaded to the target report analysis platform system associated with the second access heat according to the second access heat of the example business filling records after continuous adjustment, so that the accuracy of the first access heat corresponding to the associated report analysis platform system can be improved; by setting the judgment value of the number of the sample service filling records in the target report analysis platform system, the method can ensure that the number of the sample service filling records in the target report analysis platform system does not exceed the limit value when the target report analysis platform system is continuously adjusted, thereby ensuring the stability of the number of the sample service filling records in the target report analysis platform system and further improving the access efficiency.
For some preferred embodiments, after said determining an access priority for each of said associated report analysis platform systems, said method further comprises: acquiring a primary report analysis platform system on the basis that the item description information of the target report text item is not determined according to the plurality of associated report analysis platform systems; the primary report analysis platform system comprises an association report analysis platform system associated with a plurality of service clusters; binding the service filling key content of the target service filling record with the service filling key content of the example service filling record in the primary report analysis platform system to obtain a second binding quality evaluation of the target service filling record and the example service filling record in the primary report analysis platform system; selecting a sample service filling record of which the second binding quality evaluation exceeds a fifth set judgment value from the primary report analysis platform system; and determining the item description information corresponding to the selected sample service filling record as the item description information of the target report text item.
The primary report analysis platform system comprises more associated report analysis platform systems, so that the target report text item business report records are bound with the example business report records in the primary report analysis platform system on the basis that the target item description information is not determined, and the accuracy and the reliability of item description analysis can be improved.
For some preferred embodiments, the method further comprises: sending filling exception feedback to the cloud service interaction server on the basis that the item description information of the target report text item is not determined by the plurality of associated report analysis platform systems, and reminding the cloud service interaction server to capture a second original service filling record and item description information of the target report text item again; determining second quantitative feedback of a service filling content set corresponding to a target report text item in the second original service filling record; determining the second original business reporting record as an example business reporting record of the target report text item on the basis that the second quantitative feedback exceeds a sixth set judgment value; and storing the example service filling record and the item description information of the target report text item into the associated report analysis platform system with the minimum first access heat.
The method and the device are applied to the embodiment of the application, the second original business reporting record with better evaluation is determined as the example business reporting record, and the accuracy and the reliability of the follow-up item description analysis can be improved.
In a second aspect, an embodiment of the present invention further provides an information processing system based on report text information identification, including a processing engine, a network module, and a memory, where the processing engine and the memory communicate through the network module, and the processing engine is configured to read a computer program from the memory and operate the computer program, so as to implement the foregoing method.
Applied to the embodiment of the application, the access priority of each association report analysis platform system is determined according to the first access heat of each association report analysis platform system, the item description information of the target report text item can be determined by accessing from the association report analysis platform system with high access heat, compared with the prior technology of accessing all prior example service filling records in an armed way, the embodiment of the application can obviously improve the access amount and the corresponding resource cost, thereby improving the timeliness of item description positioning, rapidly and accurately performing derived report text item completion processing on the target service filling record based on the item description information, and further ensuring the integrity and richness of the filling information of the target service filling record, and avoiding the problem of low credibility when the target service filling record is subsequently used for service processing and related service judgment.
In the description that follows, additional features will be set forth, in part, in the description. These features will be in part apparent to those skilled in the art upon examination of the following and the accompanying drawings, or may be learned by production or use. The features of the present application may be realized and attained by practice or use of various aspects of the methodologies, instrumentalities and combinations particularly pointed out in the detailed examples that follow.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
The methods, systems, and/or processes of the figures are further described in accordance with the exemplary embodiments. These exemplary embodiments will be described in detail with reference to the drawings. These exemplary embodiments are non-limiting exemplary embodiments in which reference numerals represent similar mechanisms throughout the various views of the drawings.
FIG. 1 is a block diagram illustrating an application scenario of an exemplary report text information identification-based information processing method according to some embodiments of the present invention.
FIG. 2 is a diagram illustrating the hardware and software components of an exemplary information handling system in accordance with some embodiments of the present invention.
FIG. 3 is a flow diagram illustrating an exemplary report text information identification-based information processing method and/or process according to some embodiments of the invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant guidance. It will be apparent, however, to one skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, systems, compositions, and/or circuits have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the invention.
These and other features, functions, methods of execution, and combination of functions and elements of related elements in the structure disclosed in the present application, and the economics of production may become more apparent upon consideration of the following description with reference to the accompanying drawings, all of which form a part of this disclosure. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. It should be understood that the drawings are not to scale. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. It should be understood that the drawings are not to scale.
The present invention uses flow charts to illustrate the execution processes performed by a system according to an embodiment of the present invention. It should be expressly understood that the processes performed by the flowcharts may be performed out of order. Rather, these implementations may be performed in the reverse order or simultaneously. In addition, at least one other implementation may be added to the flowchart. One or more implementations may be deleted from the flowchart.
Fig. 1 is a block diagram illustrating an exemplary report-text-information-identification-based information processing system 300, according to some embodiments of the present invention, where the report-text-information-identification-based information processing system 300 may include an information processing system 100 and a cloud service interaction server 200.
In some embodiments, as shown in FIG. 2, information handling system 100 may include a processing engine 110, a network module 120, and a memory 130, processing engine 110 and memory 130 communicating through network module 120.
Network module 120 may facilitate the exchange of information and/or data. In some embodiments, the network module 120 may be any type of wired or wireless network or combination thereof. Merely by way of example, the Network module 120 may include a cable Network, a wired Network, a fiber optic Network, a telecommunications Network, an intranet, 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 Wireless personal Area Network, a Near Field Communication (NFC) Network, and the like, or any combination thereof. In some embodiments, the network module 120 may include at least one network access point. For example, the network module 120 may include wired or wireless network access points, such as base stations and/or network access points.
The Memory 130 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 130 is used for storing a program, and the processing engine 110 executes the program after receiving the execution instruction.
It will be appreciated that the configuration shown in FIG. 2 is merely illustrative, and that information handling system 100 may include more or fewer components than shown in FIG. 2, or have a different configuration than shown in FIG. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
Fig. 3 is a flowchart illustrating an exemplary information processing method and/or process based on report text information identification, which is applied to the information processing system 100 in fig. 1, according to some embodiments of the present invention, and may further include the technical solutions described in the following.
Step 31, receiving a target service filling record captured by a cloud service interaction server and a classification keyword of the cloud service interaction server; and determining a plurality of associated report analysis platform systems which are in contact with the cloud service interaction server according to the classified keywords.
In the implementation of the present application, the cloud service interaction server may be a server for performing service processing, such as a payment service server, a credit investigation service server, or a contract auditing server. The target service filling record can be an information filling result corresponding to different services, and can be a filling text generally. The classification keywords can be understood as server identifications of the cloud service interaction servers, and the associated report analysis platform system can be understood as filling in a text report database. Further, different association report analysis platform systems correspond to the first access heat with differences.
In some possible embodiments, the determining multiple association report analysis platform systems associated with the cloud service interaction server according to the classification keyword described in step 31 may include the following steps 311 to 313.
Step 311, positioning a cloud service interaction service cluster corresponding to the cloud service interaction server from at least one service cluster which is deployed in advance according to the classification keyword; wherein each service cluster comprises no less than one server.
For some independently implementable technical solutions, before the step 311 of locating the cloud service interaction service cluster corresponding to the cloud service interaction server from at least one service cluster deployed in advance according to the classification keyword, the method may further include the following steps: acquiring multi-modal performance characteristics of a plurality of servers and distribution characteristics of a plurality of set spatial constraints; respectively determining a server in each space constraint based on the distribution label corresponding to each server and the distribution characteristic of each space constraint; for each spatial constraint, determining a performance feature commonality value between any two servers according to the multi-modal performance features of each server within the spatial constraint; clustering the servers in the space constraint into at least one service cluster according to the determined performance characteristic common value; and the performance characteristic commonality value between different servers in the same service cluster exceeds a second set judgment value.
Illustratively, the multi-modal performance characteristics of the server include one or more of information of an interactive object corresponding to the server, scene type information of the server, and multi-modal performance characteristics of a hot spot report text transaction of the server.
Step 312, determining a plurality of association report analysis platform systems associated with the cloud service interaction service cluster based on the cluster keywords of the cloud service interaction service cluster; a plurality of associated report analysis platform systems with association are respectively added to each service cluster in advance.
In some possible embodiments, before determining the plurality of association report analysis platform systems associated with the cloud service interaction service cluster based on the cluster keywords of the cloud service interaction service cluster as described in step 312, the method may further include: acquiring first original service filling records captured by each server in the service cluster and item description information of report text items set in each group of the first original service filling records; based on item description information of report text items set in each group of first original service filling records, determining at least one first original service filling record sequence with the same item description information; determining text word vector distances between first original service filling records with differences in the first original service filling record sequences aiming at each group of first original service filling record sequences; according to the text word vector distance, marking a sample service filling record for setting report text items from the first original service filling record sequence; wherein, the text word vector distance between different example service filling records of the set report text items exceeds a third set judgment value; and generating a correlation report analysis platform system for the service cluster according to the example service filling record and the item description information of the example service filling record.
Further, an example service filling record for specifying report text entries from the first original service filling record sequence according to the text word vector distance comprises: for at least two groups of first original business reporting records in the first original business reporting record sequence, wherein the text word vector distance between the records is not more than a third set judgment value, determining first quantitative feedback of a business reporting content set corresponding to set report text items in the at least two groups of first original business reporting records; and determining the first original business filling record with the optimal first quantitative feedback in the at least two groups of first original business filling records as the example business filling record of the set report text items.
Further, generating a correlation report analysis platform system for the service cluster according to the example business reporting record and the item description information of the example business reporting record, comprising: determining a second access heat of each group of example service filling records; respectively determining the associated report analysis platform systems associated with each group of example service filling records based on the second access heat of each group of example service filling records and the first access heat corresponding to each associated report analysis platform system; and for each group of example service filling records, storing the example service filling records and item description information of report text items set in the example service filling records into an associated report analysis platform system with association.
Step 313, determining the plurality of determined association report analysis platform systems as a plurality of association report analysis platform systems in contact with the cloud service interaction server.
Based on steps 311 to 313, the servers in the same service cluster have the same or similar characteristics, and thus, a plurality of association report analysis platform systems corresponding to the entire service cluster are communicated on each server in the service cluster, so that on one hand, the access accuracy can be improved, and on the other hand, the access efficiency can be ensured
Step 32, determining the access priority of each correlation report analysis platform system according to the first access heat of the plurality of correlation report analysis platform systems; and accessing the associated report analysis platform system based on the access priority, and determining item description information of a target report text item corresponding to the target service filling record.
In an embodiment of the present application, the association report analysis platform system includes a sample business reporting record of at least one set report text entry and an entry description information of each set report text entry. The target report text item can be understood as an item of different dimensions in the target business fill-in record, and the item description information can be understood as an item feature or an item keyword.
For some possible embodiments, the accessing the associated report analysis platform system based on the access priority and determining the item description information of the target report text item corresponding to the target service filling record, which is described in step 32, may include the following technical solutions described in steps 321 to 324.
Step 321, mining the service filling key content of the target service filling record.
And 322, binding the service filling key content of the target service filling record with the service filling key content of the sample service filling record in the associated report analysis platform system based on the access priority to obtain a first binding quality evaluation of the target service filling record and the sample service filling record.
Step 323, selecting a sample business reporting record from the association report analysis platform system, wherein the first binding quality evaluation exceeds a first set decision value.
Step 324, determining the item description information corresponding to the selected sample service filling record as the item description information of the target report text item.
Based on steps 321 to 324, the target service filling record and the example service filling record are bound according to the service filling key content, so that the example service filling record of the target report text item can be accurately located as much as possible, and further, the item description information of the target report text item can be accurately determined as much as possible.
And step 33, performing derived report text item completion processing on the target service filling record by means of the item description information.
In the embodiment of the application, the missing items (derived report text items) of the target business filling record can be completed according to the item description information, for example, the occupation, industry, education degree and the like of the filler are completed in a targeted manner, so that the integrity and richness of the target business filling record are ensured. Therefore, the target service filling record which is as complete and rich as possible can be provided for the subsequent service analysis processing.
Applied to the embodiment of the application, the access priority of each association report analysis platform system is determined according to the first access heat of each association report analysis platform system, the item description information of the target report text item can be determined by accessing from the association report analysis platform system with high access heat, compared with the prior technology of accessing all prior example service filling records in an armed way, the embodiment of the application can obviously improve the access amount and the corresponding resource cost, thereby improving the timeliness of item description positioning, rapidly and accurately performing derived report text item completion processing on the target service filling record based on the item description information, and further ensuring the integrity and richness of the filling information of the target service filling record, and avoiding the problem of low credibility when the target service filling record is subsequently used for service processing and related service judgment.
For some possible embodiments, after determining the item description information of the target report text item corresponding to the target business fill-in record, the method may further include the following: continuously adjusting the access statistics of the sample service filling records of the target report text items; continuously adjusting the second access heat of the sample service filling record of the target report text item based on the continuously adjusted access statistical result and the access time sequence characteristics of each round of access; based on the first access heat corresponding to each associated report analysis platform system and the second access heat of the example service filling record of the target report text item, locating a target report analysis platform system which is associated with the example service filling record of the target report text item from the plurality of associated report analysis platform systems; acquiring the number of service filling records of the example service filling records in the target report analysis platform system; and when the target report analysis platform system is different from the associated report analysis platform system where the sample business filling records of the target report text items are located currently and the number of the business filling records is less than a fourth set judgment value, migrating the sample business filling records of the target report text items and the item description information corresponding to the sample business filling records from the associated report analysis platform system where the sample business filling records are located currently to the target report analysis platform system. By the design, the example service filling records are loaded to the target report analysis platform system associated with the second access heat according to the second access heat of the example service filling records after continuous adjustment, so that the accuracy of the first access heat corresponding to the associated report analysis platform system can be improved; by setting the judgment value of the number of the sample service filling records in the target report analysis platform system, the method can ensure that the number of the sample service filling records in the target report analysis platform system does not exceed the limit value when the target report analysis platform system is continuously adjusted, thereby ensuring the stability of the number of the sample service filling records in the target report analysis platform system and further improving the access efficiency.
For some possible embodiments, after said determining an access priority for each of said associated report analysis platform systems, said method further comprises: acquiring a primary report analysis platform system on the basis that the item description information of the target report text item is not determined according to the plurality of associated report analysis platform systems; the primary report analysis platform system comprises an association report analysis platform system associated with a plurality of service clusters; binding the service filling key content of the target service filling record with the service filling key content of the example service filling record in the primary report analysis platform system to obtain a second binding quality evaluation of the target service filling record and the example service filling record in the primary report analysis platform system; selecting a sample service filling record of which the second binding quality evaluation exceeds a fifth set judgment value from the primary report analysis platform system; and determining the item description information corresponding to the selected sample service filling record as the item description information of the target report text item. By the design, the initial-stage report analysis platform system comprises more associated report analysis platform systems, so that the target report text item business filling record and the example business filling record in the initial-stage report analysis platform system are bound on the basis that the target item description information is not determined, and the accuracy and the reliability of item description analysis can be improved.
On the basis of the above, the method further comprises: sending filling exception feedback to the cloud service interaction server on the basis that the item description information of the target report text item is not determined by the plurality of associated report analysis platform systems, and reminding the cloud service interaction server to capture a second original service filling record and item description information of the target report text item again; determining second quantitative feedback of a service filling content set corresponding to a target report text item in the second original service filling record; determining the second original business reporting record as an example business reporting record of the target report text item on the basis that the second quantitative feedback exceeds a sixth set judgment value; and storing the example service filling record and the item description information of the target report text item into the associated report analysis platform system with the minimum first access heat. Based on the above, the second original business reporting record with better evaluation is determined as the example business reporting record, so that the accuracy and the reliability of the follow-up item description analysis can be improved.
The skilled person can unambiguously determine some preset, reference, predetermined, set and target technical features/terms, such as threshold values, threshold intervals, threshold ranges, etc., from the above disclosure. For some technical characteristic terms which are not explained, the technical solution can be clearly and completely implemented by those skilled in the art by reasonably and unambiguously deriving the technical solution based on the logical relations in the previous and following paragraphs. Prefixes of unexplained technical feature terms, such as "first", "second", "previous", "next", "current", "history", "latest", "best", "target", "specified", and "real-time", etc., can be unambiguously derived and determined from the context. Suffixes of technical feature terms not to be explained, such as "list", "feature", "sequence", "set", "matrix", "unit", "element", "track", and "list", etc., can also be derived and determined unambiguously from the foregoing and the following.
The foregoing disclosure of embodiments of the present invention will be apparent to those skilled in the art. It should be understood that the process of deriving and analyzing technical terms, which are not explained, by those skilled in the art based on the above disclosure is based on the contents described in the present invention, and thus the above contents are not an inventive judgment of the overall scheme.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting. Various modifications, improvements and adaptations to the present invention may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed within the present invention and are intended to be within the spirit and scope of the exemplary embodiments of the present invention.
Meanwhile, the present invention uses specific terms to describe embodiments of the present invention. Such as "one embodiment," "an embodiment," and/or "some embodiments" means a feature, structure, or characteristic described in connection with at least one embodiment of the invention. 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 portions of this specification are not necessarily all referring to the same embodiment. Furthermore, some of the features, structures, or characteristics of at least one embodiment of the present invention may be combined as suitable.
In addition, those skilled in the art will recognize that the various aspects of the invention may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, articles of manufacture, or materials, or any new and useful modifications thereto. Accordingly, aspects of the present invention may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as a "unit", "component", or "system". Furthermore, aspects of the present invention may be embodied as a computer product, located in at least one computer-readable medium, comprising computer-readable program code.
A computer readable signal medium may comprise a propagated data signal with computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable signal medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for the execution of aspects of the present invention may be written in any combination of one or more programming languages, including object oriented programming, such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, or similar conventional programming languages, such as the "C" programming language, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages, such as Python, Ruby, and Groovy, or other programming languages. The programming code may execute entirely on the user's computer, as a stand-alone software package, partly on the user's computer, 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).
Furthermore, unless otherwise indicated by the claims, the order of processing elements and sequences, the use of numerical letters or other designations of the invention are not intended to limit the order of the processes and methods described herein. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it should 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 of the invention. For example, although the system components described above may be implemented by hardware means, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
It should also be appreciated that in the foregoing description of embodiments of the invention, 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 at least one embodiment of the invention. However, this method of disclosure is not intended to suggest that the claimed subject matter requires more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Claims (10)
1. An information processing method based on report text information recognition, characterized in that the method is executed by an information processing system, the method at least comprises the following steps:
receiving a target service filling record captured by a cloud service interaction server and a classification keyword of the cloud service interaction server; determining a plurality of associated report analysis platform systems which are in contact with the cloud service interaction server according to the classified keywords; the different association report analysis platform systems correspond to the different first access heat;
determining the access priority of each correlation report analysis platform system according to the first access heat of the plurality of correlation report analysis platform systems; accessing the association report analysis platform system based on the access priority, and determining item description information of a target report text item corresponding to the target service filling record; the system comprises a correlation report analysis platform system, a report analysis platform system and a report analysis platform system, wherein the correlation report analysis platform system comprises a sample service filling record of not less than one set report text item and item description information of each set report text item;
and performing derived report text item completion processing on the target service filling record by means of the item description information.
2. The method of claim 1, wherein the method further comprises:
sending filling exception feedback to the cloud service interaction server on the basis that the item description information of the target report text item is not determined by the plurality of associated report analysis platform systems, and reminding the cloud service interaction server to capture a second original service filling record and item description information of the target report text item again;
determining second quantitative feedback of a service filling content set corresponding to a target report text item in the second original service filling record; determining the second original business reporting record as an example business reporting record of the target report text item on the basis that the second quantitative feedback exceeds a sixth set judgment value; and storing the example service filling record and the item description information of the target report text item into the associated report analysis platform system with the minimum first access heat.
3. The method of claim 1, wherein said accessing the associated report analysis platform system based on the access priority to determine item description information of a target report text item corresponding to the target business fill-in record comprises:
mining the service filling key content of the target service filling record;
based on the access priority, binding the service filling key content of the target service filling record with the service filling key content of the sample service filling record in the associated report analysis platform system to obtain a first binding quality evaluation of the target service filling record and the sample service filling record;
selecting a sample service report record from the correlation report analysis platform system, wherein the first binding quality evaluation exceeds a first set judgment value;
and determining the item description information corresponding to the selected sample service filling record as the item description information of the target report text item.
4. The method of claim 2, wherein determining a plurality of association report analysis platform systems that are in contact with the cloud service interaction server according to the classification keyword comprises:
according to the classification keywords, positioning a cloud service interaction service cluster corresponding to the cloud service interaction server from at least one service cluster which is deployed in advance; each service cluster comprises not less than one server;
determining a plurality of association report analysis platform systems associated with a cloud service interaction service cluster based on cluster keywords of the cloud service interaction service cluster; the method comprises the following steps that a plurality of associated report analysis platform systems with associations are respectively added to each service cluster in advance;
and determining the plurality of determined association report analysis platform systems as a plurality of association report analysis platform systems in contact with the cloud service interaction server.
5. The method of claim 4, wherein before the locating the cloud service interaction service cluster corresponding to the cloud service interaction server from the at least one service cluster deployed in advance according to the classification keyword, the method further comprises:
acquiring multi-modal performance characteristics of a plurality of servers and distribution characteristics of a plurality of set spatial constraints;
respectively determining a server in each space constraint based on the distribution label corresponding to each server and the distribution characteristic of each space constraint; for each spatial constraint, determining a performance feature commonality value between any two servers according to the multi-modal performance features of each server within the spatial constraint;
clustering the servers in the space constraint into at least one service cluster according to the determined performance characteristic common value; and the performance characteristic commonality value between different servers in the same service cluster exceeds a second set judgment value.
6. The method of claim 5, wherein the multi-modal performance characteristics of the server comprise one or more of information about interactive objects corresponding to the server, scene type information about the server, and multi-modal performance characteristics of hot spot report text transactions about the server.
7. The method of claim 6, wherein prior to the determining, based on the cluster key of the cloud business interaction service cluster, a plurality of association report analysis platform systems associated with the cloud business interaction service cluster, the method further comprises:
acquiring first original service filling records captured by each server in the service cluster and item description information of report text items set in each group of the first original service filling records;
based on item description information of report text items set in each group of first original service filling records, determining at least one first original service filling record sequence with the same item description information;
determining text word vector distances between first original service filling records with differences in the first original service filling record sequences aiming at each group of first original service filling record sequences;
according to the text word vector distance, marking a sample service filling record for setting report text items from the first original service filling record sequence; wherein, the text word vector distance between different example service filling records of the set report text items exceeds a third set judgment value;
and generating a correlation report analysis platform system for the service cluster according to the example service filling record and the item description information of the example service filling record.
8. The method of claim 7, wherein marking sample business fill records for set report text entries from the first sequence of original business fill records based on the text word vector distance comprises:
for at least two groups of first original business reporting records in the first original business reporting record sequence, wherein the text word vector distance between the records is not more than a third set judgment value, determining first quantitative feedback of a business reporting content set corresponding to set report text items in the at least two groups of first original business reporting records;
determining the first original business reporting record with the optimal first quantitative feedback in the at least two groups of first original business reporting records as the example business reporting record of the set report text items;
wherein, the generating of the association report analysis platform system for the service cluster according to the example service filing record and the item description information of the example service filing record comprises:
determining a second access heat of each group of example service filling records; respectively determining the associated report analysis platform systems associated with each group of example service filling records based on the second access heat of each group of example service filling records and the first access heat corresponding to each associated report analysis platform system;
and for each group of example service filling records, storing the example service filling records and item description information of report text items set in the example service filling records into an associated report analysis platform system with association.
9. The method of claim 1, wherein after said determining transaction description information for a target report text transaction corresponding to said target business fill-in record, said method further comprises:
continuously adjusting the access statistics of the sample service filling records of the target report text items;
continuously adjusting the second access heat of the sample service filling record of the target report text item based on the continuously adjusted access statistical result and the access time sequence characteristics of each round of access;
based on the first access heat corresponding to each associated report analysis platform system and the second access heat of the example service filling record of the target report text item, locating a target report analysis platform system which is associated with the example service filling record of the target report text item from the plurality of associated report analysis platform systems;
acquiring the number of service filling records of the example service filling records in the target report analysis platform system;
when the target report analysis platform system is different from the associated report analysis platform system where the sample business filling records of the target report text items are located currently, and the number of the business filling records is less than a fourth set judgment value, migrating the sample business filling records of the target report text items and the item description information corresponding to the sample business filling records from the associated report analysis platform system where the sample business filling records are located currently to the target report analysis platform system;
wherein after said determining an access priority for each of said associated report analysis platform systems, said method further comprises:
acquiring a primary report analysis platform system on the basis that the item description information of the target report text item is not determined according to the plurality of associated report analysis platform systems; the primary report analysis platform system comprises an association report analysis platform system associated with a plurality of service clusters;
binding the service filling key content of the target service filling record with the service filling key content of the example service filling record in the primary report analysis platform system to obtain a second binding quality evaluation of the target service filling record and the example service filling record in the primary report analysis platform system;
selecting a sample service filling record of which the second binding quality evaluation exceeds a fifth set judgment value from the primary report analysis platform system; and determining the item description information corresponding to the selected sample service filling record as the item description information of the target report text item.
10. An information processing system identified based on report text information, comprising a processing engine, a network module, and a memory, the processing engine and the memory communicating through the network module, the processing engine being configured to read a computer program from the memory and execute the computer program to implement the method of any one of claims 1-9.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114510725A (en) * | 2022-03-04 | 2022-05-17 | 泰安佳永信计算机有限公司 | Vulnerability information processing method based on digital service and server |
| CN116680689A (en) * | 2023-06-06 | 2023-09-01 | 四川警察学院 | Security situation prediction method and system applied to big data |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114510725A (en) * | 2022-03-04 | 2022-05-17 | 泰安佳永信计算机有限公司 | Vulnerability information processing method based on digital service and server |
| CN114510725B (en) * | 2022-03-04 | 2022-10-14 | 微神马科技（大连）有限公司 | Vulnerability information processing method based on digital service and server |
| CN116680689A (en) * | 2023-06-06 | 2023-09-01 | 四川警察学院 | Security situation prediction method and system applied to big data |
| CN116680689B (en) * | 2023-06-06 | 2023-11-21 | 四川警察学院 | Security situation prediction method and system applied to big data |
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