CN114090758A - Automobile insurance reporting method based on intelligent voice robot - Google Patents
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Abstract
The embodiment of the disclosure discloses a car insurance reporting method based on an intelligent voice robot, which comprises the steps of establishing a multi-turn question-answer interaction mode with a user side when voice information for car insurance reporting sent by the user side is received; extracting license plate information to be processed from the reply voice information of the first question-answering wheel; extracting current applicant information from reply voice information of a preset question-answering wheel; respectively determining target license plate information in the vehicle insurance report and target insurance applicant information in the vehicle insurance report in a preset matching mode based on the license plate information to be processed and the current insurance applicant information; and verifying the validity of the car insurance based on the target license plate information and the target applicant information. By establishing an intelligent interaction process and determining license plate information and insurance information in the process, the effectiveness of the vehicle insurance can be determined. The problem of low accuracy of the automobile insurance reporting in the related technology is solved.
Description
Technical Field
The disclosure relates to the technical field of vehicle insurance data processing, in particular to a vehicle insurance reporting method based on an intelligent voice robot.
Background
At present, when a customer reports a car insurance, the customer mostly needs to dial a customer service telephone of an insurance company for reporting, and basically, the corresponding report information is processed by manual customer service, so that the insurance company is required to set more corresponding customer service personnel. Resulting in high labor costs for the insurance company.
If the number of the reported cases increases in the same time period, the number of the reported cases will be busy, and the customer will need to wait in line, so that the reported cases cannot be processed in time, and the efficiency of the vehicle insurance reporting is low.
Disclosure of Invention
The main purpose of the present disclosure is to provide a car insurance reporting method based on an intelligent voice robot.
In order to achieve the above object, according to a first aspect of the present disclosure, there is provided a method for reporting a car insurance based on an intelligent voice robot, including: when receiving voice information which is sent by a user side and used for a car insurance report, establishing a multi-turn question-answer interaction mode with the user side; extracting license plate information to be processed from the reply voice information of the first question-answering wheel; extracting current applicant information from reply voice information of a preset question-answering wheel; respectively determining target license plate information in the vehicle insurance report and target insurance applicant information in the vehicle insurance report in a preset matching mode based on the license plate information to be processed and the current insurance applicant information; and verifying the validity of the car insurance based on the target license plate information and the target applicant information.
Optionally, the extracting the current applicant information from the reply voice information of the preset question-answering wheel comprises: monitoring a first voice message replied by the user terminal after transmitting a first query content to the user terminal in a first query wheel; determining the license plate information to be processed of the current vehicle insurance report from the first voice information; determining license plate information similar to the license plate information to be processed, wherein a set formed by all similar license plate information is used as an initial license plate information set; determining the identity information of the applicant corresponding to each initial license plate in a database to obtain a set of identity information of the applicant, wherein the set of the initial license plate information is mapped with the set of the identity information of the applicant; sending a second inquiry content to the user side, and monitoring a second voice message replied by the user side; and extracting the identity information of the current applicant of the vehicle insurance application from the second voice information.
Optionally, license plate information similar to the license plate information to be processed is determined, wherein a set formed by all similar license plate information as an initial license plate information set includes: converting the first voice information into text information, and replacing the text in a preset context in the conversion process to obtain license plate information to be processed; and determining a set of initial license plate information corresponding to the license plate information to be processed based on preset text elements in the license plate information to be processed.
Optionally, the extracting the current applicant identity information of the current car insurance report from the second voice message includes: and carrying out named entity recognition on the second voice information to obtain named entity information.
Optionally, respectively determining target license plate information in the vehicle insurance report and target insurance applicant information in the vehicle insurance report by a preset matching mode based on the license plate information to be processed and the current insurance applicant information includes: matching the named entity information with the identity information of the target applicant in accordance with the named entity information in the set of the identity information of the applicant; and determining the license plate information mapped by the target applicant information as target license plate information.
Optionally, the method further comprises: and if the car insurance is valid, continuously sending inquiry content to the user side so as to collect voice information which is fed back by the user side and is related to the accident.
Optionally, the method further comprises: and if the set of the applicant identity information is empty, the first inquiry content is sent to the user side again.
Optionally, the method further comprises: and if the matching fails, the second query content is sent to the user terminal again.
Optionally, in the set of applicant identity information, matching the named entity information with the target applicant identity information that matches it comprises: if the identity information of the applicant is the organization name, matching the name of the target organization corresponding to the named entity information for the named entity information based on a first matching algorithm; and if the identity information of the applicant is the name of the person, matching the name of the target organization corresponding to the named entity information for the named entity information based on a second matching algorithm.
According to a second aspect of the present disclosure, a computer-readable storage medium is provided, where computer instructions are stored, and the computer instructions are configured to cause the computer to execute the intelligent voice robot-based vehicle insurance reporting method according to any one of the implementations of the first aspect.
The method for reporting the automobile insurance based on the intelligent voice robot comprises the steps of establishing a multi-turn question-answer interaction mode with a user side when voice information for reporting the automobile insurance sent by the user side is received; extracting license plate information to be processed from the reply voice information of the first question-answering wheel; extracting current applicant information from reply voice information of a preset question-answering wheel; respectively determining target license plate information in the vehicle insurance report and target insurance applicant information in the vehicle insurance report in a preset matching mode based on the license plate information to be processed and the current insurance applicant information; and verifying the validity of the car insurance based on the target license plate information and the target applicant information. By establishing an intelligent interaction process and determining license plate information and insurance information in the process, the effectiveness of the vehicle insurance can be determined. The problem of low accuracy of the automobile insurance reporting in the related technology is solved.
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In order to more clearly illustrate the embodiments of the present disclosure 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 described below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for reporting a car insurance based on an intelligent voice robot according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those skilled in the art, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only some embodiments of the present disclosure, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure may be 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.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
According to an embodiment of the present disclosure, there is provided a car insurance reporting method based on an intelligent voice robot, as shown in fig. 1, the method includes the following steps 101 to 105:
step 101: and when receiving the voice information which is sent by the user side and used for the automobile insurance report, establishing a multi-turn question-answer interaction mode with the user side.
In this embodiment, the execution main body of the method in this embodiment may be a voice robot based on a server, and by establishing an intelligent interaction mode, the purpose of interacting with the customer by using the voice robot instead of an artificial customer service is achieved, so that the labor cost of the artificial customer service is effectively reduced, and the agent processing efficiency is improved. After the user terminal triggers the vehicle insurance report, intelligent voice interaction can be established with the user terminal in real time, and manual participation is avoided.
Step 102: and extracting license plate information to be processed from the reply voice information of the first question-answering wheel.
In this embodiment, in a vehicle insurance reporting scene, reporting related information, including reporting vehicle license plate information, vehicle owner information, accident occurrence time, place, and the like, needs to be collected, and only if it is ensured that the license plate information and the vehicle owner information of an accident vehicle are correctly collected, the corresponding policy information can be queried, so as to facilitate subsequent tracking processing. Therefore, after the vehicle insurance report voice is connected, the voice robot customer service can firstly inquire the license plate number of the vehicle in distress, the voice information can be automatically converted into a text through the ASR technology after the user answers, and the robot extracts the license plate information in the text. The text information can be used as the license plate information to be processed.
Further, the ASR technology can have a certain error rate in the conversion process, and in the interaction, the answer mode of the client is various, which can lead to the error of the collected information, if the information is directly utilized, the information can not be correctly matched, thereby the automatic case report of the whole process can not be smoothly carried out, the success rate is not high, finally, the intervention of manual customer service is needed, the time length of the case report process of the client is increased, and the client experience is worsened.
Therefore, in this embodiment, preferably, the first voice information may be converted into text information, and the text in the preset context is replaced in the conversion process, so as to obtain the license plate information to be processed. The context is preset, namely when the query content is in the first question-answering wheel, the context of the question-answering wheel is a question for license plate information, so that under the closed domain, the text can be replaced by the text information obtained through conversion by using the alternative lexicon.
In the replacement, if the text type at the preset position obviously does not conform to the type corresponding to the position, the text at the position can be replaced, and the number can be replaced by a letter with similar pronunciation, for example, "zhe 1" is replaced by "zhe E".
In the replacement, text obtained by describing a certain position by using descriptive voice can be replaced. In implementation, the corresponding text can be determined according to different descriptive terms in the alternative word library. For example, "D hook" is replaced by "J" and so on.
By the method, the problem that the obtained license plate information is inaccurate due to the fact that the text conversion mode is directly performed by the ASR technology can be solved.
Furthermore, in order to further improve the accuracy of the license plate information, the voice information may be further acquired, the current applicant information of the insurance applicant is determined from the voice information, and based on the current applicant information, the accurate target license plate information may be further determined, and the following contents may be referred to in an implementation manner.
Step 103: and extracting the current applicant information from the reply voice information of the preset question-answering wheel.
In this embodiment, the accuracy of the target license plate information (actual license plate involved in insurance) is further improved, and the information of the actual applicant is determined. The content of the query may be sent at a preset query wheel to determine the current applicant's information.
As an optional implementation manner of this embodiment, the extracting the current applicant information from the reply voice information of the preset question-answering wheel includes: monitoring a first voice message replied by the user terminal after transmitting a first query content to the user terminal in a first query wheel; determining the license plate information to be processed of the current vehicle insurance report from the first voice information; determining license plate information similar to the license plate information to be processed, wherein a set formed by all similar license plate information is used as an initial license plate information set; determining the identity information of the applicant corresponding to each initial license plate in a database to obtain a set of identity information of the applicant, wherein the set of the initial license plate information is mapped with the set of the identity information of the applicant; sending a second inquiry content to the user side, and monitoring a second voice message replied by the user side; and extracting the identity information of the current applicant of the vehicle insurance application from the second voice information.
In this optional implementation manner, since the determined license plate to be processed may not be consistent with the actual license plate information, in order to improve the accuracy of the license plate to be processed, all initial license plates similar to the license plate information to be processed may be determined first, and an initial license plate set is obtained. Then, the insurance system library can inquire the insurance applicant identity information related to the initial license plate, so that the collection of the insurance applicant identity information can be obtained. After the set is obtained, inquiry content related to the identity information of the applicant can be continuously sent, the voice information of the user side is collected, and then the current applicant information can be extracted based on the voice information. The extracted current applicant information may be used to determine final target license plate information and final target applicant information.
As an alternative implementation of this embodiment, if the set of applicant identity information is empty, the first query content is retransmitted to the user side.
In this optional implementation manner, if the set of the identity information of the applicant is empty, the voice robot customer service (the execution main body of the method of this embodiment) needs to interact with the reporter voice again to determine whether the license plate information is correct, and the voice robot reports the collected license plate information to the reporter to determine, and then collects the license plate information again according to the answer.
As an optional implementation manner of this embodiment, license plate information similar to the license plate information to be processed is determined, where a set formed by all similar license plate information as an initial license plate information set includes: converting the first voice information into text information, and replacing the text in a preset context in the conversion process to obtain license plate information to be processed; and determining a set of initial license plate information corresponding to the license plate information to be processed based on preset text elements in the license plate information to be processed.
In this optional implementation manner, the implementation manner for determining the license plate information to be processed is not described again, and when determining the set of the initial license plate information, the text at each position in the license plate information to be processed may be determined first, and the corresponding numbers or letters with the same pronunciation may be determined, and then the text at the position may be replaced with the text element with the same pronunciation, so as to be used as the initial license plate information. For example, "E" and "1", "J" and "G", "G" and "7", "U" and "6", "R" and "2", "S" and "X", "J" and "7", etc., belong to texts with similar mutual pronunciation. For another example, if the collected license plate is "zhe A2U 97A", a similar license plate combination can be generalized as follows: zhe A2U9JA, Zhe A2U9GA, Zhe A2U97A, Zhe A269JA, Zhe A269GA, and Zhe A2697A.
Step 104: and respectively determining target license plate information in the vehicle insurance report and target insurance applicant information in the vehicle insurance report in a preset matching mode based on the license plate information to be processed and the current insurance applicant information.
In this embodiment, when determining the target license plate information, the target license plate information may be determined based on both the license plate information to be processed and the information of the current applicant. The method comprises the steps of determining a set of initial license plate information based on the license plate information to be processed, further determining a set of applicant identity information based on the set of the initial license plate information, and finally determining target license plate information by combining the current applicant information.
In determining the target applicant information, the determination may be based on a set of current applicant information, applicant identity information.
As an optional implementation manner of this embodiment, the extracting the current applicant identity information of this car insurance application from the second voice message includes: and carrying out named entity recognition on the second voice information to obtain named entity information.
In this optional implementation manner, the second speech information is subjected to name recognition and mechanism recognition by using a named entity recognition technology.
As an optional implementation manner of this embodiment, in the set of applicant identity information, target applicant identity information that matches the named entity information is matched for the named entity information; and determining the license plate information mapped by the target applicant information as target license plate information.
In this optional implementation, when determining the target applicant identity information based on the set of current applicant information and applicant identity information, the information with the highest matching similarity for the named entity information may be selected from the set of applicant identity information. And then the license plate information mapped by the visible target applicant is determined as the target license plate information.
As an alternative implementation manner of this embodiment, if the matching fails, the second query content is retransmitted to the user side.
In this alternative implementation, if the similarity maximum does not reach the threshold, if the target applicant identity information is not matched, the voice query message continues to be sent to the candidate so that the candidate provides the owner information again.
As an optional implementation manner of this embodiment, in the set of applicant identity information, matching the target applicant identity information that matches the named entity information includes: if the identity information of the applicant is the organization name, matching the name of the target organization corresponding to the named entity information for the named entity information based on a first matching algorithm; and if the identity information of the applicant is the name of the person, matching the name of the target organization corresponding to the named entity information for the named entity information based on a second matching algorithm.
In this optional implementation, for the case that the applicant is an individual, the text matching may be performed directly using a chinese text similarity algorithm, or the text with the highest similarity may be obtained after the similarities are sorted, and if the similarities reach the set threshold, the identity information matching is successful.
For the case that the applicant identity information is the name of an organization, the applicant identity information generally comprises four elements of administrative division, word size, industry and organization form. The name of the organization is the full name of the organization name, and the voice response of the person who reports is the word number or the abbreviation of the organization name, such as the full name of the eight-dimensional technology company, and the answer of the person who reports can directly extract the eight-dimensional technology or the eight-dimensional technology. Therefore, the matching of the mechanism names cannot be performed directly. The keywords in the organization name can be obtained by using an organization name word number extraction algorithm and an automatic generation algorithm for short, and the keywords are matched according to a name matching algorithm after being successfully extracted.
As an alternative implementation manner of this embodiment, if the matching fails, the second query content is retransmitted to the user side.
In this optional implementation, if the matching of the identity information fails, the voice robot customer service needs to interact with the counter according to the matching condition, and then confirms the identity information again.
One case is where the type identified by the named entity is not consistent with the type registered, for example, the category of the owner information answered by the person in registration is personal, but the category of the registered owner information is organization. Under the condition, the voice robot customer service can inquire the reporter to confirm whether the type of the vehicle owner information is correct or not, and then acquire the identity information again according to the answer of the user. The second case is that the category is correct, but the exact match fails, at which point the voice robot customer service will let the reporter re-provide the owner information to re-collect the confirmation.
As an alternative implementation manner of this embodiment, if the car insurance is valid, the inquiry content is continuously sent to the user end to collect the voice information related to the accident fed back by the user end.
In this optional implementation, if the application information is valid, the acquisition of the subsequent accident-related information may be performed.
Step 105: and verifying the validity of the car insurance based on the target license plate information and the target applicant information.
In this optional implementation manner, the information such as the corresponding insurance policy number may be queried according to the determined target license plate information and the target applicant information, and the validity thereof is determined, for example, whether the validity of the insurance policy is valid is determined.
As an alternative implementation manner of this embodiment, if the car insurance is valid, the inquiry content is continuously sent to the user end to collect the voice information related to the accident fed back by the user end.
In this optional implementation, if the application information is valid, the acquisition of the subsequent accident-related information may be performed.
In the embodiment, based on an intelligent voice interaction technology, the robot interacts with a reporting person, corresponding reporting information is extracted based on multi-turn conversation, intention recognition and named entity recognition technologies, and then verification matching is performed based on related technologies such as substitutional words and similarity matching on the basis of the extracted information, so that the correctness of the acquired license plate information is ensured, the success rate of the whole reporting automation process is improved, the workload of manual customer service can be greatly reduced, and the labor cost is reduced. The problems of low accuracy and poor fault tolerance of the report information acquisition are solved, and the success rate of the whole report automation process is improved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present disclosure, there is also provided a device for implementing the above method for reporting a car insurance based on an intelligent voice robot, the device including: the interaction unit is configured to establish a multi-turn question-answer interaction mode with the user side when voice information for the car insurance report sent by the user side is received; a first processing unit configured to extract license plate information to be processed from reply voice information of a first question-answering wheel; a second processing unit configured to extract current applicant information from reply voice information of a preset question and answer wheel; the third processing unit is configured to respectively determine target license plate information in the vehicle insurance report and target insurance applicant information in the vehicle insurance report in a preset matching mode on the basis of the license plate information to be processed and the current insurance applicant information; and the fourth processing unit is configured to verify the validity of the car insurance based on the target license plate information and the target applicant information.
The embodiment of the present disclosure provides an electronic device, as shown in fig. 2, the electronic device includes one or more processors 21 and a memory 22, where one processor 21 is taken as an example in fig. 2.
The controller may further include: an input device 23 and an output device 24.
The processor 21, the memory 22, the input device 23 and the output device 24 may be connected by a bus or other means, which is exemplified in fig. 2.
The processor 21 may be a Central Processing Unit (CPU). The processor 21 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 22, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the control methods in the embodiments of the present disclosure. The processor 21 executes various functional applications of the server and data processing by running the non-transitory software programs, instructions and modules stored in the memory 22, so as to implement the intelligent voice robot-based vehicle insurance reporting method of the above method embodiment.
The memory 22 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a processing device operated by the server, and the like. Further, the memory 22 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 22 may optionally include memory located remotely from the processor 21, which may be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 23 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the processing device of the server. The output device 24 may include a display device such as a display screen.
One or more modules are stored in the memory 22, which when executed by the one or more processors 21 perform the method as shown in fig. 1.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, and the program can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-only memory (ROM), a Random Access Memory (RAM), a flash memory (FlashMemory), a hard disk (hard disk drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A car insurance reporting method based on an intelligent voice robot is characterized by comprising the following steps:
when receiving voice information which is sent by a user side and used for a car insurance report, establishing a multi-turn question-answer interaction mode with the user side;
extracting license plate information to be processed from the reply voice information of the first question-answering wheel;
extracting current applicant information from reply voice information of a preset question-answering wheel;
respectively determining target license plate information in the vehicle insurance report and target insurance applicant information in the vehicle insurance report in a preset matching mode based on the license plate information to be processed and the current insurance applicant information;
and verifying the validity of the car insurance based on the target license plate information and the target applicant information.
2. The intelligent voice robot-based car insurance reporting method according to claim 1, wherein extracting the current applicant information from the reply voice information of the preset question and answer wheel comprises:
monitoring a first voice message replied by the user terminal after transmitting a first query content to the user terminal in a first query wheel;
determining the license plate information to be processed of the current vehicle insurance report from the first voice information;
determining license plate information similar to the license plate information to be processed, wherein a set formed by all similar license plate information is used as an initial license plate information set;
determining the identity information of the applicant corresponding to each initial license plate in a database to obtain a set of identity information of the applicant, wherein the set of the initial license plate information is mapped with the set of the identity information of the applicant;
sending a second inquiry content to the user side, and monitoring a second voice message replied by the user side;
and extracting the identity information of the current applicant of the vehicle insurance application from the second voice information.
3. The intelligent voice robot-based vehicle insurance reporting method of claim 2, wherein license plate information similar to the license plate information to be processed is determined, wherein the set of all similar license plate information as the initial set of license plate information comprises:
converting the first voice information into text information, and replacing the text in a preset context in the conversion process to obtain license plate information to be processed;
and determining a set of initial license plate information corresponding to the license plate information to be processed based on preset text elements in the license plate information to be processed.
4. The intelligent voice robot-based vehicle insurance reporting method according to claim 2, wherein extracting the current applicant identity information of the current vehicle insurance report from the second voice information comprises:
and carrying out named entity recognition on the second voice information to obtain named entity information.
5. The intelligent voice robot-based vehicle insurance reporting method of claim 4, wherein the step of respectively determining the target license plate information in the vehicle insurance report and the target applicant information in the vehicle insurance report in a preset matching manner based on the license plate information to be processed and the current applicant information comprises the steps of:
matching the named entity information with the identity information of the target applicant in accordance with the named entity information in the set of the identity information of the applicant;
and determining the license plate information mapped by the target applicant information as target license plate information.
6. The intelligent voice robot-based vehicle insurance reporting method of claim 1, further comprising:
and if the car insurance is valid, continuously sending inquiry content to the user side so as to collect voice information which is fed back by the user side and is related to the accident.
7. The intelligent voice robot-based vehicle insurance reporting method according to claim 2, further comprising:
and if the set of the applicant identity information is empty, the first inquiry content is sent to the user side again.
8. The intelligent voice robot-based vehicle insurance reporting method of claim 5, further comprising:
and if the matching fails, the second query content is sent to the user terminal again.
9. The intelligent voice robot-based car insurance reporting method of claim 5, wherein matching the named entity information with the consistent target applicant identity information in the set of applicant identity information comprises:
if the identity information of the applicant is the organization name, matching the name of the target organization corresponding to the named entity information for the named entity information based on a first matching algorithm;
and if the identity information of the applicant is the name of the person, matching the name of the target organization corresponding to the named entity information for the named entity information based on a second matching algorithm.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the intelligent voice robot-based vehicle insurance reporting method according to any one of claims 1 to 9.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120010906A1 (en) * | 2010-02-09 | 2012-01-12 | At&T Mobility Ii Llc | System And Method For The Collection And Monitoring Of Vehicle Data |
| CN103839295A (en) * | 2012-11-26 | 2014-06-04 | 上海匹克信息科技咨询有限公司 | Electronic toll collection system |
| CN104715417A (en) * | 2013-12-12 | 2015-06-17 | 耿明生 | System and method for remotely processing vehicle insurance business |
| CN105721724A (en) * | 2016-01-27 | 2016-06-29 | 平安科技（深圳）有限公司 | Intelligent voice dispatching method and device for vehicle insurance (Interactive Voice Response) |
| CN107995376A (en) * | 2017-11-07 | 2018-05-04 | 平安科技（深圳）有限公司 | A kind of user reports a case to the security authorities processing method and terminal device |
| US9996878B1 (en) * | 2014-03-11 | 2018-06-12 | Liberty Mutual Insurance Company | In-vehicle infotainment insurance applications |
| CN109218500A (en) * | 2018-09-28 | 2019-01-15 | 平安科技（深圳）有限公司 | Vehicle insurance voice is reported a case to the security authorities processing method, system, computer equipment and storage medium |
| CN111402071A (en) * | 2020-04-10 | 2020-07-10 | 深圳新致软件有限公司 | Insurance industry intelligence customer service robot system and equipment |
| CN112001767A (en) * | 2020-07-03 | 2020-11-27 | 杭州摸象大数据科技有限公司 | Automatic car insurance quotation method and device, computer equipment and storage medium |
| CN112288584A (en) * | 2020-10-29 | 2021-01-29 | 泰康保险集团股份有限公司 | Insurance application processing method and device, computer readable medium and electronic equipment |
| CN113094559A (en) * | 2021-04-25 | 2021-07-09 | 百度在线网络技术（北京）有限公司 | Information matching method and device, electronic equipment and storage medium |
-
2022
- 2022-01-14 CN CN202210039598.XA patent/CN114090758B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120010906A1 (en) * | 2010-02-09 | 2012-01-12 | At&T Mobility Ii Llc | System And Method For The Collection And Monitoring Of Vehicle Data |
| CN103839295A (en) * | 2012-11-26 | 2014-06-04 | 上海匹克信息科技咨询有限公司 | Electronic toll collection system |
| CN104715417A (en) * | 2013-12-12 | 2015-06-17 | 耿明生 | System and method for remotely processing vehicle insurance business |
| US9996878B1 (en) * | 2014-03-11 | 2018-06-12 | Liberty Mutual Insurance Company | In-vehicle infotainment insurance applications |
| CN105721724A (en) * | 2016-01-27 | 2016-06-29 | 平安科技（深圳）有限公司 | Intelligent voice dispatching method and device for vehicle insurance (Interactive Voice Response) |
| CN107995376A (en) * | 2017-11-07 | 2018-05-04 | 平安科技（深圳）有限公司 | A kind of user reports a case to the security authorities processing method and terminal device |
| CN109218500A (en) * | 2018-09-28 | 2019-01-15 | 平安科技（深圳）有限公司 | Vehicle insurance voice is reported a case to the security authorities processing method, system, computer equipment and storage medium |
| CN111402071A (en) * | 2020-04-10 | 2020-07-10 | 深圳新致软件有限公司 | Insurance industry intelligence customer service robot system and equipment |
| CN112001767A (en) * | 2020-07-03 | 2020-11-27 | 杭州摸象大数据科技有限公司 | Automatic car insurance quotation method and device, computer equipment and storage medium |
| CN112288584A (en) * | 2020-10-29 | 2021-01-29 | 泰康保险集团股份有限公司 | Insurance application processing method and device, computer readable medium and electronic equipment |
| CN113094559A (en) * | 2021-04-25 | 2021-07-09 | 百度在线网络技术（北京）有限公司 | Information matching method and device, electronic equipment and storage medium |
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