CN113824804A - Keyword detection method and related device - Google Patents
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- CN113824804A CN113824804A CN202111399749.4A CN202111399749A CN113824804A CN 113824804 A CN113824804 A CN 113824804A CN 202111399749 A CN202111399749 A CN 202111399749A CN 113824804 A CN113824804 A CN 113824804A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
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Abstract
The application discloses a method and a related device for detecting keywords.A scheduling device acquires a user request and sends the user request to a plurality of detection device groups, and keyword word libraries stored in each detection device group are different from each other; the dispatching equipment receives a plurality of detection results, and each detection result is obtained by detecting a user request according to the keyword lexicon by any detection equipment of each detection equipment group; and the dispatching equipment determines a target detection result according to the plurality of detection results. In the application, the complete keyword word stock is dispersedly stored in a plurality of detection equipment groups, and the keyword word stock stored in each detection equipment group is different from each other. Each detection device does not need to store all keyword word banks, and the storage resource of each detection device is saved. Because the data volume of the keyword lexicon stored by each detection device is reduced, the calculation amount of traversing retrieval on the keyword lexicon is also reduced, and the detection efficiency of the detection device is improved.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a keyword detection method and a related device.
Background
Auditing systems exist in internet products. The method comprises machine auditing and manual auditing and is used for guaranteeing network security. In an auditing system, a keyword detection device is generally required for audited text content. Keyword detection is a process of identifying and detecting whether the input text contains keywords in a keyword lexicon.
Some keyword detection devices of the review system are directly single machines and single nodes. Some machines adopt a multi-machine deployment mode, but each machine needs to deploy a complete keyword word bank, and the word bank is originally larger because the magnitude of the keyword word bank is large and is continuously increased. Essentially in the same manner as a stand-alone deployment.
Referring to fig. 1, fig. 1 is a schematic diagram of a conventional keyword detection architecture. As shown in fig. 1, in order to improve the detection efficiency, each detection device includes a complete keyword lexicon, and a user request is randomly forwarded to any one detection device to return a detection result. Because each detection device stores all keyword word banks, the memory requirement on the machine is increased, the performance is slowed, and the performance of the machine cannot meet the requirement in one day.
Disclosure of Invention
The embodiment of the application provides a keyword detection method and a related device, which are used for saving storage resources of each detection device.
In a first aspect, an embodiment of the present application provides a keyword detection method, including:
the scheduling equipment acquires a user request;
the dispatching equipment sends the user request to a plurality of detection equipment groups, wherein the keyword word banks stored in each detection equipment group are different from each other;
the dispatching equipment receives a plurality of detection results from the plurality of detection equipment groups, and each detection result is obtained by detecting the user request according to the keyword lexicon by any detection equipment in each detection equipment group;
and the dispatching equipment determines a target detection result according to the plurality of detection results.
Based on the first aspect, in an optional implementation manner, each detection device group includes a plurality of detection devices, and the keyword lexicons stored in the detection devices in each detection device group are the same.
In an optional implementation manner based on the first aspect, before the scheduling device sends the user request to multiple detection device groups, the method further includes:
the dispatching equipment acquires a detection equipment list from registration center equipment, wherein the detection equipment list is used for indicating a plurality of detection equipment which can be used for detecting the user request at present and a detection equipment group where the plurality of detection equipment are located;
and the scheduling equipment determines a plurality of detection equipment groups according to the detection equipment list.
Based on the first aspect, in an optional implementation manner, the determining, by the scheduling device, a target detection result according to the plurality of detection results includes:
and if the plurality of detection results comprise at least one illegal detection result, the dispatching equipment determines that the user request is an illegal request.
In a second aspect, an embodiment of the present application provides a keyword detection system, where the keyword detection system includes a scheduling device and a plurality of detection device groups, where keyword word libraries stored in each of the detection device groups are different from each other;
the dispatching equipment acquires a user request and sends the user request to the plurality of detection equipment groups;
any detection device in each detection device group detects the user request according to the stored keyword lexicon to generate a plurality of detection results, and sends the plurality of detection results to the scheduling device, wherein each detection device group generates one detection result;
and the dispatching equipment determines a target detection result according to the plurality of detection results.
In a third aspect, an embodiment of the present application provides a keyword detection apparatus, including:
an acquisition unit for acquiring a user request;
a sending unit, configured to send the user request to multiple detection device groups, where keyword word libraries stored in each of the detection device groups are different from each other;
a receiving unit, configured to receive multiple detection results from the multiple detection device groups, where each detection result is obtained by detecting, by any detection device in each detection device group, the user request according to the keyword lexicon;
and the determining unit is used for determining a target detection result according to the plurality of detection results.
Based on the third aspect, in an optional implementation manner, each detection device group includes a plurality of detection devices, and the keyword lexicons stored in the respective detection devices in each detection device group are the same.
Based on the third aspect, in an optional implementation manner, the obtaining unit is further configured to obtain a detection device list from a registry device, where the detection device list is used to indicate a plurality of detection devices that are currently available for detecting the user request and a detection device group in which the plurality of detection devices are located;
the determining unit is further configured to determine a plurality of detection device groups according to the detection device list.
Based on the third aspect, in an optional implementation manner, the determining unit is specifically configured to:
and when the plurality of detection results comprise at least one illegal detection result, determining that the user request is an illegal request.
In a fourth aspect, an embodiment of the present invention provides a computer device, including a memory, a communication interface, and a processor coupled to the memory and the communication interface; the memory is configured to store instructions, the processor is configured to execute the instructions, and the communication interface is configured to communicate with other devices under control of the processor; wherein the processor executes the instructions to perform the method for keyword detection according to any one of the above aspects.
In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the method for keyword detection according to any one of the above aspects.
In a sixth aspect, the present application provides a computer program product or a computer program, which includes computer instructions, when run on a computer, for causing the computer to perform the method for keyword detection according to any one of the above aspects.
According to the technical scheme, the embodiment of the application has the following advantages:
the application discloses a keyword detection method and a related device, wherein a scheduling device acquires a user request; the method comprises the steps that a scheduling device sends user requests to a plurality of detection device groups, wherein keyword word libraries stored in each detection device group are different from each other; the scheduling equipment receives a plurality of detection results from a plurality of detection equipment, and each detection result is obtained by detecting a user request according to the keyword lexicon by any detection equipment of each detection equipment group; and the dispatching equipment determines a target detection result according to the plurality of detection results. In the application, the complete keyword word stock is dispersedly stored in the plurality of detection equipment groups, and the keyword word stocks stored in each detection equipment group are different from each other, so that each detection equipment does not need to store all the keyword word stocks any more, and the storage resource of each detection equipment is saved. Furthermore, because the data volume of the keyword lexicon stored by each detection device is reduced, the calculation amount of traversing retrieval on the keyword lexicon is correspondingly reduced, and the detection efficiency of each detection device is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a diagram of a conventional keyword detection architecture;
fig. 2 is a schematic flowchart of a keyword detection method according to an embodiment of the present application;
fig. 3 is a schematic diagram illustrating an architecture of a scheduling device and a plurality of detecting device groups according to an embodiment of the present application;
fig. 4 is a schematic view of a scenario in which a scheduling device manages each detection device through a registry device in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a keyword detection apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a keyword detection method and a related device, which are used for saving storage resources of each detection device.
The embodiments of the present invention will be described below with reference to the drawings. The terminology used in the description of the embodiments of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As can be known to those skilled in the art, with the development of technology and the emergence of new scenarios, the technical solution provided in the embodiments of the present application is also applicable to similar technical problems.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 2, fig. 2 is a schematic flowchart of a keyword detection method according to an embodiment of the present application, and as shown in fig. 2, the keyword detection method according to the embodiment of the present application includes:
101. the scheduling device obtains a user request.
Every time when the user initiates a user request, the user request is not directly sent to the detection device for detection. In the embodiment of the application, the user request is firstly transmitted to the scheduling device and managed by the scheduling device.
It should be noted that the scheduling device may be an independent physical server, may also be a server cluster or a distributed system formed by a plurality of physical servers, and may also be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network service, cloud communication, a middleware service, a domain name service, a security service, big data, or an artificial intelligence platform, which is not limited herein. For an application scenario with high concurrency, a plurality of scheduling devices can be configured to process a large number of user requests, so that the effect of load balancing is achieved.
102. The scheduling device sends user requests to a plurality of detection device groups, wherein the keyword word banks stored in each detection device group are different from each other.
After acquiring the user request, the scheduling device forwards the user request to each detection device group. However, in the present application, each detection device group does not need to store all keyword libraries, but stores the complete keyword libraries in each detection device group in a distributed manner. In practical application, each detection device group may include a plurality of detection devices, and each detection device in the same detection device group stores the same keyword lexicon.
Referring to fig. 3, fig. 3 is a schematic diagram illustrating an architecture of a dispatching device and a plurality of detecting device groups according to an embodiment of the present application. As shown in fig. 3, one detection device group (e.g., detection device group 1, detection device group M, and detection device group N) includes a plurality of detection devices, and the keyword lexicon stored in each detection device in the same detection device group is determined and the same. For example, in the example of fig. 3, assuming a keyword lexicon with 60 ten thousand of data, in the detection device group 1, each detection device stores the same first 20 ten thousand keyword lexicons; in the detection equipment group M, each detection equipment stores the same middle 20 ten thousand keyword word stock; in the detection device group N, each detection device stores the same last 20 ten thousand keyword lexicons.
If the subsequent keyword lexicon is updated and expanded and exceeds the threshold value of the data volume of the keyword lexicon stored in a single detection device, the newly added keyword lexicon can be stored in the newly added detection device group in a mode of increasing the detection device group. For example, if the keyword lexicon is expanded to 70 thousands, a fourth detector group is added, and each detector in the group stores a newly added 10 thousands of keyword lexicons. When the keyword lexicon is expanded to 90 thousands, a fifth detector group is added, and the like.
Referring to fig. 4, fig. 4 is a schematic view of a scenario in which a scheduling device manages each detection device through a registry device in an embodiment of the present application. As shown in fig. 4, in order to facilitate the dispatching device to manage the detection devices in each detection device group, in this embodiment of the application, all the detection devices may be registered in the registry device, and the registry device generates a detection device list, where the detection device list is used to indicate a plurality of detection devices that are currently available for detecting a user request and a detection device group in which the detection devices are located. When the detection devices or detection device groups need to be added, the added detection devices or detection device groups are registered in the registry device, and the corresponding detection device list is updated. Therefore, when the scheduling device sends the user request to the detection device group, the scheduling device may first obtain the detection device list from the registry device, and determine the detection device group currently available for detecting the user request according to the detection device list.
103. The dispatching equipment receives a plurality of detection results from a plurality of detection equipment groups, and each detection result is obtained by detecting the user request according to the keyword lexicon by any detection equipment in each detection equipment group.
And each detection equipment group detects the user request according to the keyword word stock by any detection equipment in the group to generate a corresponding detection result. Therefore, after the plurality of detection device groups generate the plurality of detection results, the plurality of detection results may be transmitted to the scheduling device.
104. And the dispatching equipment determines a target detection result according to the plurality of detection results.
And after the dispatching equipment receives the plurality of detection results from each detection equipment group, the dispatching equipment summarizes the plurality of detection results to generate a target detection result. If at least one illegal detection result is included in the plurality of detection results received by the scheduling device for the user request, the scheduling device determines that the user request is an illegal request.
In the application, the complete keyword word stock is dispersedly stored in the plurality of detection equipment groups, and the keyword word stocks stored in each detection equipment group are different from each other, so that each detection equipment does not need to store all the keyword word stocks any more, and the storage resource of each detection equipment is saved. Furthermore, because the data volume of the keyword lexicon stored by each detection device is reduced, the calculation amount of traversing retrieval on the keyword lexicon is correspondingly reduced, and the detection efficiency of each detection device is improved.
On the basis of the embodiment corresponding to fig. 2, in order to better implement the above-mentioned solution of the embodiment of the present application, the following also provides a related device for implementing the above-mentioned solution. Specifically, referring to fig. 5, fig. 5 is a schematic structural diagram of a keyword detection apparatus according to an embodiment of the present application, where the keyword detection apparatus includes:
an obtaining unit 201, configured to obtain a user request;
a sending unit 202, configured to send a user request to multiple detection device groups, where keyword libraries stored in each detection device group are different from each other;
a receiving unit 203, configured to receive multiple detection results from multiple detection device groups, where each detection result is obtained by detecting, by any detection device in each detection device group, a user request according to the keyword lexicon;
a determining unit 204, configured to determine a target detection result according to the multiple detection results.
In one possible design, each detection device group includes a plurality of detection devices, and the keyword lexicon stored in each detection device group is the same.
In a possible design, the obtaining unit 201 is further configured to obtain a detection device list from the registry device, where the detection device list is used to indicate a plurality of detection devices currently available for detecting the user request and a detection device group in which the plurality of detection devices are located;
the determining unit 204 is further configured to determine a plurality of detection device groups according to the detection device list.
In one possible design, the determining unit 204 is specifically configured to:
and when the plurality of detection results comprise at least one illegal detection result, determining that the user request is an illegal request.
It should be noted that, the information interaction, execution process, and other contents between the modules/units in the keyword detection apparatus are based on the same concept as the method embodiment corresponding to fig. 2 in the present application, and specific contents may refer to the description in the foregoing method embodiment in the present application, and are not described herein again.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a computer device provided in the embodiment of the present application, and a keyword detection apparatus described in the embodiment corresponding to fig. 5 may be deployed on the computer device 300 to implement the function of the scheduling device in the embodiment corresponding to fig. 2, specifically, the computer device 300 is implemented by one or more servers, and the computer device 300 may generate a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 322 (e.g., one or more processors) and a memory 332, and one or more storage media 330 (e.g., one or more mass storage devices) storing an application 342 or data 344. Memory 332 and storage media 330 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 330 may include one or more modules (not shown), each of which may include a series of instructions operating on a computer device. Still further, the central processor 322 may be configured to communicate with the storage medium 330 to execute a series of instruction operations in the storage medium 330 on the computer device 300.
The computer apparatus 300 may also include one or more power supplies 326, one or more wired or wireless network interfaces 350, one or more input-output interfaces 358, and/or one or more operating systems 341, such as a Windows ServerTM，Mac OS XTM，UnixTM，LinuxTM，FreeBSDTMAnd so on.
An embodiment of the present application further provides a computer program product, which when run on a computer, causes the computer to execute the method described in the foregoing embodiment shown in fig. 2.
Also provided in an embodiment of the present application is a computer-readable storage medium, in which a program for signal processing is stored, and when the program runs on a computer, the computer is caused to execute the method described in the foregoing embodiment shown in fig. 2.
It should be noted that the above-described embodiments of the apparatus are merely schematic, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiments of the apparatus provided in the present application, the connection relationship between the modules indicates that there is a communication connection therebetween, and may be implemented as one or more communication buses or signal lines.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus necessary general-purpose hardware, and certainly can also be implemented by special-purpose hardware including special-purpose integrated circuits, special-purpose CPUs, special-purpose memories, special-purpose components and the like. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions may be various, such as analog circuits, digital circuits, or dedicated circuits. However, for the present application, the implementation of a software program is more preferable. Based on such understanding, the technical solutions of the present application may be substantially embodied in the form of a software product, which is stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, an exercise device, or a network device) to execute the method according to the embodiments of the present application.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, training device, or data center to another website site, computer, training device, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a training device, a data center, etc., that incorporates one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Claims (10)
1. A method for keyword detection, comprising:
the scheduling equipment acquires a user request;
the dispatching equipment sends the user request to a plurality of detection equipment groups, wherein the keyword word banks stored in each detection equipment group are different from each other;
the dispatching equipment receives a plurality of detection results from the plurality of detection equipment groups, and each detection result is obtained by detecting the user request according to the keyword lexicon by any detection equipment in each detection equipment group;
and the dispatching equipment determines a target detection result according to the plurality of detection results.
2. The method of claim 1, wherein each detection device group comprises a plurality of detection devices, and the keyword lexicon stored by each detection device in each detection device group is the same.
3. The method of claim 1 or 2, wherein before the scheduling device sends the user request to a plurality of detection device groups, the method further comprises:
the dispatching equipment acquires a detection equipment list from registration center equipment, wherein the detection equipment list is used for indicating a plurality of detection equipment which can be used for detecting the user request at present and a detection equipment group where the plurality of detection equipment are located;
and the scheduling equipment determines a plurality of detection equipment groups according to the detection equipment list.
4. The method according to claim 1 or 2, wherein the scheduling device determines a target detection result according to the plurality of detection results, comprising:
and if the plurality of detection results comprise at least one illegal detection result, the dispatching equipment determines that the user request is an illegal request.
5. A keyword detection system is characterized by comprising scheduling equipment and a plurality of detection equipment groups, wherein keyword word libraries stored in each detection equipment group are different from each other;
the dispatching equipment acquires a user request and sends the user request to the plurality of detection equipment groups;
any detection device in each detection device group detects the user request according to the stored keyword lexicon to generate a plurality of detection results, and sends the plurality of detection results to the scheduling device, wherein each detection device group generates one detection result;
and the dispatching equipment determines a target detection result according to the plurality of detection results.
6. A keyword detection apparatus, comprising:
an acquisition unit for acquiring a user request;
a sending unit, configured to send the user request to multiple detection device groups, where keyword word libraries stored in each of the detection device groups are different from each other;
a receiving unit, configured to receive multiple detection results from the multiple detection device groups, where each detection result is obtained by detecting, by any detection device in each detection device group, the user request according to the keyword lexicon;
and the determining unit is used for determining a target detection result according to the plurality of detection results.
7. The apparatus according to claim 6, wherein each of the detection device groups includes a plurality of detection devices, and the keyword lexicon stored in each of the detection devices in each of the detection device groups is the same.
8. The keyword detection apparatus according to claim 6 or 7,
the acquiring unit is further configured to acquire a detection device list from a registry device, where the detection device list is used to indicate a plurality of detection devices that are currently available for detecting the user request and a detection device group in which the plurality of detection devices are located;
the determining unit is further configured to determine a plurality of detection device groups according to the detection device list.
9. A computer device comprising a processor and a memory, the processor coupled with the memory,
the memory is used for storing programs;
the processor to execute the program in the memory to cause the computer device to perform the method of any of claims 1 to 4.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the method of any one of claims 1 to 4.
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