CN116485524A - Information checking method, device, electronic equipment and storage medium - Google Patents

Abstract

The disclosure provides an information checking method, an information checking device, electronic equipment and a storage medium, which can be applied to the technical field of artificial intelligence. The method is used for a collation system including a collation server and an external pager, the method comprising: determining, with a collation server, collation information from the request in response to receiving the request for performing the collation task; determining a target collation pattern from a plurality of collation patterns based on the collation information by a collation server; under the condition that the target checking mode is determined to be used for representing the man-machine interaction mode, the checking server is utilized to send checking information to the pager; and carrying out voice interaction by using the pager according to the check information to obtain feedback information from the user.

Description

Information checking method, device, electronic equipment and storage medium

Technical Field

The disclosure relates to the technical field of artificial intelligence, in particular to the technical fields of outbound call, voice recognition, information verification and the like, and specifically relates to an information verification method, an information verification device, electronic equipment and a storage medium.

Background

Verifying the relevant information of the loan (amount, term, interest rate, payoff account, etc.) to the customer before the loan is released is a very important step in the loan handling process, and the timeliness and accuracy of the approval directly determine the payoff efficiency and release risk of the loan. In the prior art, the approval of the payment is usually verified by a worker off-line with a customer through telephone or by the customer manually replying to a verification message.

However, the information verification method in the prior art generally has the problems of much time consumption, labor waste, high cost and low verification accuracy in manual verification.

Disclosure of Invention

In view of the foregoing, the present disclosure provides an information collation method, apparatus, electronic device, storage medium, and program product.

According to a first aspect of the present disclosure, there is provided an information collation method applied to a collation system including a collation server and an pager, the method comprising: in response to receiving a request for performing a collation task, determining collation information from the request using the collation server; determining a target collation pattern from a plurality of collation patterns based on the collation information by using the collation server; under the condition that the target checking mode is used for representing the man-machine interaction mode, the checking server is utilized to send the checking information to the pager; and carrying out voice interaction by utilizing the pager according to the check information to obtain feedback information from a user.

According to an embodiment of the present disclosure, determining, with the collation server, a target collation pattern from a plurality of collation patterns based on the collation information, includes: determining resource attribute information from the collation information; and determining a target checking mode matched with the resource attribute information from the plurality of checking modes based on the resource attribute information and a first preset mapping relation table, wherein the first preset mapping relation table is used for representing the corresponding relation between the resource attribute information and the checking mode.

According to an embodiment of the present disclosure, determining, with the collation server, a target collation pattern from a plurality of collation patterns based on the collation information, includes: determining resource attribute information from the collation information; determining resource type information and a resource value from the resource attribute information; determining a resource threshold value matched with the resource type information; and determining the target collation pattern from the plurality of collation patterns based on the resource value and the resource threshold.

According to an embodiment of the present disclosure, performing voice interaction according to the verification information by using the pager to obtain feedback information from a user, including: determining a calling period by using the pager; establishing communication connection with the terminal equipment according to the calling time period by using the pager; and carrying out voice interaction with the user through the terminal equipment according to the check information by using the pager to obtain the feedback information.

According to an embodiment of the present disclosure, the voice interaction is performed with the user through the terminal device by using the pager according to the verification information, to obtain the feedback information, including: receiving initial feedback information by using the external pager; carrying out semantic recognition on the initial feedback information to obtain semantic recognition information; and determining target reference information matched with the semantic identification information from a plurality of pieces of reference information based on the semantic identification information and a second preset mapping relation, and taking the target reference information as the feedback information, wherein the second preset mapping relation is used for representing the corresponding relation between the semantic identification information and the reference information.

According to an embodiment of the present disclosure, the information collation method further includes: generating a response report by using the pager under the condition that the number of unresponsive times of the call reaches a preset number of times threshold; transmitting the response report to the collation server by the pager; and updating the target collation pattern to an artificial collation pattern using the collation server.

According to an embodiment of the present disclosure, the information collation method further includes: under the condition that the target checking mode is determined to be used for representing the information interaction mode, generating information to be confirmed by utilizing the checking server based on the checking information; the checking server is utilized to send the information to be confirmed to the terminal equipment of the user; and receiving feedback information from the terminal device using the collation server.

According to an embodiment of the present disclosure, the information collation method further includes: and under the condition that feedback information from the terminal equipment is not received within a preset time period, updating the target checking mode into a mode for representing human-computer interaction by utilizing the checking server.

According to an embodiment of the present disclosure, the information collation method further includes: acquiring the feedback information by using the check server; and determining a collation result based on the feedback information and the collation information using the collation server.

According to an embodiment of the present disclosure, the collation system further comprises a memory; the method further comprises the steps of: and transmitting the feedback information to the memory by using the pager so that the check server acquires the feedback information from the memory.

A second aspect of the present disclosure provides an information collation apparatus applied to a collation system including a collation server and an pager, the information collation apparatus comprising: a response module for determining collation information from a request for performing a collation task using the collation server in response to receiving the request; a determining module configured to determine a target collation pattern from a plurality of collation patterns based on the collation information using the collation server; the sending module is used for sending the checking information to the pager by using the checking server under the condition that the target checking mode is determined to be used for representing the man-machine interaction mode; and the interaction module is used for carrying out voice interaction by utilizing the pager according to the check information to obtain feedback information from a user.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method described above.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described method.

A fifth aspect of the present disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above method.

According to the information checking method, the device, the electronic equipment, the storage medium and the program product, the checking server is utilized to determine the checking information from the request in response to receiving the request for executing the checking task, the checking server is utilized to determine the target checking mode from the plurality of checking modes based on the checking information, the checking server is utilized to send the checking information to the external pager when the target checking mode is determined to be used for representing the man-machine interaction mode, and the external pager is utilized to conduct voice interaction according to the checking information to obtain the feedback information from the user. For example, for some consumer loan items with smaller amounts, information interaction may be used to verify to facilitate information verification. For loan items with larger amounts, such as housing, automobile consumption, and the like, the voice interaction mode can be adopted for checking so as to ensure the accuracy of information checking and the safety of paying. Therefore, based on different credit items, different information checking modes are adopted respectively, so that convenience in information checking can be ensured, and the safety of paying can be ensured. Furthermore, the checking information is sent to the pager, and the user feedback information is obtained through voice interaction, so that on one hand, the accuracy of information checking is improved, on the other hand, the workload of manual phone information checking of staff is reduced, and the working efficiency is improved.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an exemplary system architecture to which information collation methods and apparatuses may be applied according to embodiments of the present disclosure;

fig. 2 schematically shows a flowchart of a first embodiment of an information collation method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow chart of one embodiment of a method of determining a target collation in accordance with an embodiment of the disclosure;

FIG. 4 schematically illustrates a flowchart of another embodiment of determining a target verification pattern according to an embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow chart of voice interaction with an pager in accordance with an embodiment of the present disclosure;

FIG. 6 schematically illustrates a flow chart for obtaining feedback information through voice interaction, according to an embodiment of the disclosure;

fig. 7 schematically illustrates a flowchart of a second embodiment of an information collation method according to an embodiment of the present disclosure;

fig. 8 schematically illustrates a flowchart of a third embodiment of an information collation method according to an embodiment of the present disclosure;

fig. 9 schematically shows a flowchart of a fourth embodiment of an information collation method according to an embodiment of the present disclosure;

Fig. 10 schematically shows a flowchart of a fifth embodiment of an information collation method according to an embodiment of the present disclosure;

fig. 11 schematically shows a block diagram of the structure of an information collation apparatus according to an embodiment of the present disclosure; and

fig. 12 schematically illustrates a block diagram of an electronic device adapted to implement the information collation method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the disclosure, the related data (such as including but not limited to personal information of a user) are collected, stored, used, processed, transmitted, provided, disclosed, applied and the like, all conform to the regulations of related laws and regulations, necessary security measures are adopted, and the public welcome is not violated.

In the technical scheme of the disclosure, the authorization or consent of the user is obtained before the personal information of the user is obtained or acquired.

According to an embodiment of the present disclosure, there is provided an information collation method applied to a collation system including a collation server and an pager, the method including: determining, with a collation server, collation information from the request in response to receiving the request for performing the collation task; determining a target collation pattern from a plurality of collation patterns based on the collation information by a collation server; under the condition that the target checking mode is determined to be used for representing the man-machine interaction mode, the checking server is utilized to send checking information to the pager; and carrying out voice interaction by using the pager according to the check information to obtain feedback information from the user.

Fig. 1 schematically illustrates an exemplary system architecture to which information collation methods and apparatuses may be applied according to embodiments of the present disclosure.

It should be noted that fig. 1 is only an example of a system architecture to which embodiments of the present disclosure may be applied to assist those skilled in the art in understanding the technical content of the present disclosure, but does not mean that embodiments of the present disclosure may not be used in other devices, systems, environments, or scenarios.

As shown in fig. 1, a system architecture 100 according to this embodiment may include an pager 101, a network 102, and a collation server 103. The network 102 serves as a medium for providing a communication link between the pager 101 and the collation server 103. Network 102 may include various connection types such as wired, wireless communication links, or fiber optic cables, among others.

The pager 101 interacts with the collation server 103 through the network 102 to receive or transmit a message or the like. The pager 101 may be a variety of electronic devices having telephony capabilities including, but not limited to, smartphones, tablet computers, laptop portable computers, desktop computers, and the like.

The collation server 103 may be a server that provides various services, such as determining collation information from a request for performing a collation task, determining a target collation mode from a plurality of collation modes based on the collation information, and transmitting the collation information to an external pager (only an example).

Note that the information collation method provided by the embodiment of the present disclosure may be generally executed by the collation server 103. Accordingly, the information collation apparatus provided by the embodiments of the present disclosure can be generally provided in the collation server 103. The information collation method provided by the embodiments of the present disclosure may also be performed by a server or a server cluster that is different from the collation server 103 and is capable of communicating with the pager 101 and/or the collation server 103. Accordingly, the information collation apparatus provided by the embodiments of the present disclosure may also be provided in a server or a server cluster that is different from the collation server 103 and is capable of communicating with the pager 101 and/or the collation server 103.

It should be understood that the number of pagers, networks and audit servers in fig. 1 is merely illustrative. There may be any number of pagers, networks, and audit servers, as desired for implementation.

It should be noted that the sequence numbers of the respective operations in the following methods are merely representative of the operations for the purpose of description, and should not be construed as representing the order of execution of the respective operations. The method need not be performed in the exact order shown unless explicitly stated.

The information collation method of the disclosed embodiment will be described in detail below by fig. 2 to 10 based on the scene described in fig. 1.

Fig. 2 schematically shows a flowchart of a first embodiment of an information collation method according to an embodiment of the present disclosure.

As shown in fig. 2, the information collation method 200 of this embodiment includes operations S201 to S204.

In response to receiving a request for performing a collation task, collation information is determined from the request using a collation server in operation S201.

In operation S202, a target collation pattern is determined from a plurality of collation patterns based on collation information by a collation server.

In operation S203, in the case where it is determined that the target collation means is used to characterize the man-machine interaction means, collation information is transmitted to the pager by the collation server.

In operation S204, voice interaction is performed according to the collation information using the pager, and feedback information from the user is obtained.

According to embodiments of the present disclosure, the check task may refer to checking and confirming loan information with a user. The check information may refer to loan information requiring user confirmation, such as a loan amount, a loan duration, a loan interest rate, a loan account, and the like. The checking mode can be a man-machine interaction mode or an information interaction mode, wherein the man-machine interaction mode can be an outbound mode, and the information interaction mode can be a short message mode. Feedback information may refer to replies, e.g., yes, no, correct, incorrect, etc., given by the user based on the verification information. In the technical scheme of the disclosure, the related processes of data collection, storage, use, processing, transmission, provision, disclosure, application and the like all conform to the regulations of related laws and regulations, necessary security measures are taken, and the public order harmony is not violated.

According to the embodiment of the disclosure, the verification information is determined from the request by the verification server in response to the request for executing the verification task, the target verification mode is determined from the plurality of verification modes by the verification server based on the verification information, the verification information is sent to the external pager by the verification server under the condition that the target verification mode is determined to be used for representing the man-machine interaction mode, and the external pager is used for carrying out voice interaction according to the verification information to obtain feedback information from a user. For example, for some consumer loan items with smaller amounts, information interaction may be used to verify to facilitate information verification. For loan items with larger amounts, such as houses, automobile consumers and the like, the information can be checked in a man-machine interaction mode, so that the accuracy of information check and the safety of paying money are ensured. Therefore, based on the difference of the basic information of each loan, different information checking modes are adopted respectively, so that the convenience of information checking can be ensured, the issuing efficiency of the loan can be improved, the safety of the loan can be ensured, and the risk of the loan can be reduced. Furthermore, the checking information is sent to the pager, and the user feedback information is obtained through voice interaction, so that on one hand, the accuracy of information checking is improved, on the other hand, the workload of manual phone information checking of staff is reduced, the working efficiency is improved, and the information checking cost is reduced.

Fig. 3 schematically illustrates a flow chart of one embodiment of a method of determining a target collation in accordance with an embodiment of the disclosure.

According to an embodiment of the present disclosure, for operation S202 shown in fig. 3, a target collation pattern is determined from a plurality of collation patterns based on collation information using a collation server, including operations S301 to S302.

In operation S301, resource attribute information is determined from the collation information.

In operation S302, a target collation pattern matching the resource attribute information is determined from a plurality of collation patterns based on the resource attribute information and the first predetermined mapping relation table.

The first predetermined mapping relation table is used for representing the corresponding relation between the resource attribute information and the checking mode.

According to embodiments of the present disclosure, resource attribute information may refer to basic information of each loan. Such as the purpose of the loan, the amount of the loan, the duration of the loan, credit information of the borrower, the locale of the borrower, the repayment capabilities of the borrower, etc. The first predetermined mapping table may refer to different checking means based on different loan usages, different loan amounts, different loan durations, different borrower types, respectively. For example, a loan with a smaller amount such as a consumer can be selected for information verification by using an information interaction method, and a loan with a larger amount such as a house or an automobile can be selected for information verification by using a man-machine interaction method. For another example, the borrower credit information is better, the borrower with no bad credit record can choose the information interaction mode to check the information, the borrower credit information is poor, and the overdue unrendered record with too small amount appears, so that the information can choose the man-machine interaction mode to check the information. In the technical scheme of the disclosure, the related processes of data collection, storage, use, processing, transmission, provision, disclosure, application and the like all conform to the regulations of related laws and regulations, necessary security measures are taken, and the public order harmony is not violated.

According to the embodiment of the disclosure, the resource attribute information is determined from the checking information, and the target checking mode matched with the resource attribute information is determined from the plurality of checking modes based on the resource attribute information and the first preset mapping relation table, so that the checking modes corresponding to the checking information are determined based on different resource attribute information of different checking information, intelligent and personalized checking of the information is met, the paying-out safety and the information checking convenience are considered, and the working efficiency is improved. For example, the information can be checked by different checking modes according to the characteristics of different loan projects and the categories of different borrowers. For some loan items with smaller amounts and shorter loan time, the risk of the loan items is smaller, and the relative safety of the loan is higher, so that the loan items can be checked in an information interaction mode, and the information can be checked more conveniently while the security of the loan is ensured. And the information is checked by selecting a man-machine interaction mode for some loan items with larger amount and long loan time, so that the security of the loan is ensured, and the risk of the loan is reduced. By adopting different checking modes based on different resource attribute information, the paying-off safety and the convenience of information checking can be considered, so that the working efficiency is improved.

Fig. 4 schematically illustrates a flow chart of another embodiment of determining a target collation pattern in accordance with an embodiment of the disclosure.

According to an embodiment of the present disclosure, for operation S202 shown in fig. 4, a target collation pattern is determined from a plurality of collation patterns based on collation information by a collation server, and operations S401 to S404 may be further included.

In operation S401, resource attribute information is determined from the collation information.

In operation S402, resource type information and a resource value are determined from the resource attribute information.

In operation S403, a resource threshold value that matches the resource type information is determined.

In operation S404, a target collation pattern is determined from a plurality of collation patterns based on the resource value and the resource threshold.

According to embodiments of the present disclosure, resource attribute information may refer to basic information of each loan. Such as the purpose of the loan, the amount of the loan, the duration of the loan, credit information of the borrower, the locale of the borrower, the repayment capabilities of the borrower, etc. The resource type information may refer to a category to which specific information based on each loan belongs. The resource value may refer to a value assigned to each loan according to specific information of the loan, for example, the value is assigned in a certain weight ratio according to the purpose of the loan, the amount of the loan, the duration of the loan, credit information of a borrower, the area where the borrower is located, and repayment capability of the borrower. The resource threshold may refer to a threshold determined based on the category to which each loan belongs. In the technical scheme of the disclosure, the related processes of data collection, storage, use, processing, transmission, provision, disclosure, application and the like all conform to the regulations of related laws and regulations, necessary security measures are taken, and the public order harmony is not violated.

According to an embodiment of the present disclosure, a collation pattern matching the collation information may be determined by determining resource attribute information from the collation information, determining resource type information and resource value from the resource attribute information, determining a resource threshold value matching the resource type information, and determining a target collation pattern from a plurality of collation patterns based on the resource value and the resource threshold value, such that each resource threshold value corresponds to one collation pattern based on a comparison between the resource value and the resource threshold value, and by matching the resource value and the resource threshold value. For example, the risk of each loan can be judged according to the information of the loan, so that different checking modes are correspondingly adopted, the paying-off safety and the convenience of information checking are considered, and the working efficiency is improved.

Fig. 5 schematically illustrates a flow chart of voice interaction with an external pager, according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, for operation S204 shown in fig. 5, voice interaction is performed according to the collation information using the pager to obtain feedback information from the user, including operations S501 to S503.

In operation S501, a call period is determined using an pager.

In operation S502, a communication connection is established with a terminal device according to a call period using an pager.

In operation S503, the user performs voice interaction with the external pager according to the verification information through the terminal device to obtain feedback information.

According to embodiments of the present disclosure, the call period may refer to a period of time during which the exophone initiates a call to the user, e.g., 9:00-12:00, 14:00-17:00, 20:00-21:00, etc.

According to the embodiment of the disclosure, the external pager is utilized to determine the calling time period, the communication connection is established with the terminal equipment according to the calling time period, the external pager is utilized to interact with the user through the terminal equipment according to the checking information, the feedback information is obtained, and the external pager can interact with the user according to the calling time period and the checking information, so that the user experience is improved. For example, the setting of the calling period can avoid the traveling, noon break and dining time of the user, so as to avoid the situation of disturbing the rest of the user and causing complaints of the user, and improve the satisfaction degree of the user.

Fig. 6 schematically illustrates a flowchart for obtaining feedback information through voice interaction according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, for operation S503 shown in fig. 6, a user is voice interacted with by a terminal device according to check information using an pager to obtain feedback information, including operations S5031 to S5033.

In operation S5031, initial feedback information is received using the pager.

In operation S5032, the initial feedback information is semantically recognized to obtain semantic recognition information.

In operation S5033, target reference information matching the semantic identification information is determined from the plurality of reference information based on the semantic identification information and the second predetermined mapping relationship, and the target reference information is used as feedback information.

The second predetermined mapping relation is used for representing the corresponding relation between the semantic identification information and the reference information.

According to embodiments of the present disclosure, initial feedback information may refer to answers made by a user during voice interactions with the user, e.g., yes, no, yes, not, correct, incorrect, paired, unpaired, should be, uncertain, etc. The semantic recognition information may refer to information after the initial feedback information is judged and categorized, such as yes, no, uncertainty. The initial feedback information is yes, correct and pair corresponding to the semantic identification information is no, not yes, error and pair not corresponding to the semantic identification information, and the initial feedback information is supposed to be and is uncertain corresponding to the semantic identification information. The reference information may refer to preset information, for example, affirmative, negative, uncertain. The second predetermined mapping relationship may refer to a correspondence relationship between different semantic identification information and different reference information. For example, the semantic recognition information corresponds to a positive in the reference information, and the semantic recognition information corresponds to a negative in the reference information, and the uncertainty in the semantic recognition information corresponds to an uncertainty in the reference information.

According to the embodiment of the disclosure, the initial feedback information is received by the pager, semantic recognition is carried out on the initial feedback information to obtain semantic recognition information, target reference information matched with the semantic recognition information is determined from a plurality of pieces of reference information based on the semantic recognition information and a second preset mapping relation, the target reference information is used as feedback information, so that after the initial feedback information is subjected to semantic recognition to obtain the semantic recognition information, the target reference information matched with the semantic recognition information is determined through the second preset mapping relation, the target reference information is used as feedback information, answers made by different users are accurately recognized, and the problem of inconvenient recognition caused by synonyms and near-meaning words in a language is solved.

Fig. 7 schematically shows a flowchart of a second embodiment of an information collation method according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, as shown in fig. 7, the information collation method 200 of the embodiment further includes operations S205 to S207.

In operation S205, in case it is determined that the number of call unresponsiveness reaches the predetermined number of call threshold, a response report is generated using the pager.

In operation S206, the response report is transmitted to the collation server using the pager.

In operation S207, the target collation method is updated to the manual collation method by the collation server.

According to embodiments of the present disclosure, the number of call unresponsiveness may refer to the number of times a call is answered by an unmanned. The predetermined number of calls threshold may refer to the number of maximum calls, for example, the number of calls threshold may be set to 3, 5, or the like. The answer report may be an unmanned answer, or the like.

According to the embodiment of the disclosure, when the number of times of call unresponsiveness reaches the preset number of times of call threshold, that is, after the number of times of call unresponsiveness reaches the maximum number of times of call, the external pager generates a response report of no person answer, and updates the target checking mode to the manual checking mode through the checking server. Therefore, on one hand, the user can be prevented from being continuously called, harassment is brought to the user, and on the other hand, the user can be timely informed that the human-computer interaction mode cannot be contacted with the user, and the manual checking mode is timely changed, so that the situation that the information checking is not completed for a long time is avoided.

Fig. 8 schematically shows a flowchart of a third embodiment of an information collation method according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, as shown in fig. 8, the information collation method 200 of the embodiment further includes operations S208 to S211.

In operation S208, in the case where it is determined that the target collation pattern is used to characterize the information interaction pattern, information to be confirmed is generated based on the collation information using the collation server.

In operation S209, the information to be confirmed is transmitted to the terminal device of the user using the collation server.

In operation S210, feedback information from the terminal device is received using the collation server.

In operation S211, in case that feedback information from the terminal device is not received for a predetermined period of time, the target collation means is updated to a means for characterizing man-machine interaction using the collation server.

According to the embodiment of the disclosure, the information interaction mode may refer to an information checking mode adopting a short message mode. The information to be confirmed may refer to information to be confirmed by the user. The feedback information may be information that the user replies to.

According to the embodiment of the disclosure, when the target checking mode is determined to be used for representing the information interaction mode, the checking server is utilized to generate the information to be confirmed based on the checking information, the checking server is utilized to send the information to be confirmed to the terminal equipment of the user, and the checking server is utilized to receive feedback information from the terminal equipment, so that information checking with the user is achieved through the information interaction mode, and convenience of information checking is improved. Further, under the condition that feedback information from the terminal equipment is not received within a preset time period, the target checking mode is updated to be used for representing man-machine interaction by using the checking server, so that the information interaction mode can be timely known that the user cannot be contacted, the man-machine interaction mode can be timely changed, and the working efficiency is improved.

Fig. 9 schematically shows a flowchart of a fourth embodiment of an information collation method according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, as shown in fig. 9, the information collation method 200 of the embodiment further includes operations S212 to S213.

In operation S212, feedback information is acquired using the collation server.

In operation S213, a collation result is determined based on the feedback information and collation information using the collation server.

According to embodiments of the present disclosure, the verification result may be verification correct, verification error, unrecognizable.

According to the embodiment of the disclosure, the verification result is obtained by acquiring the feedback information by the verification server and determining the verification result based on the feedback information and the verification information by the verification server, so as to realize the comparison based on the feedback information and the verification information. For example, when the feedback information and the collation information are identical, the collation result is correct, when the feedback information and the collation information are not identical, the collation result is incorrect, and when the feedback information is uncertain, the collation result is unrecognizable.

Fig. 10 schematically shows a flowchart of a fifth embodiment of an information collation method according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, as shown in fig. 10, the collation system further includes a memory;

the information collation method 200 of this embodiment further includes operation S214.

In operation S214, the feedback information is transmitted to the memory using the pager so that the collation server acquires the feedback information from the memory.

According to the embodiment of the disclosure, the feedback information is transmitted to the memory by utilizing the pager so as to check that the server obtains the feedback information from the memory, thereby improving the convenience and accuracy of information transmission.

Based on the information checking method, the disclosure also provides an information checking device. The device will be described in detail below with reference to fig. 11.

Fig. 11 schematically shows a block diagram of the structure of an information collation apparatus according to an embodiment of the present disclosure.

As shown in fig. 11, the information collation apparatus 600 of this embodiment includes a response module 601, a determination module 602, a transmission module 603, and an interaction module 604.

The response module 601 is configured to determine collation information from a request using a collation server in response to receiving a request for performing a collation task. In an embodiment, the response module 601 may be configured to perform the operation S201 described above, which is not described herein.

A determining module 602 for determining, by the collation server, a target collation pattern from a plurality of collation patterns based on the collation information. In an embodiment, the determining module 602 may be configured to perform the operation S202 described above, which is not described herein.

The sending module 603 is configured to send, when the target verification mode is determined to be used for characterizing the man-machine interaction mode, verification information to the pager by using the verification server. In an embodiment, the sending module 603 may be configured to perform the operation S203 described above, which is not described herein.

And the interaction module 604 is used for carrying out voice interaction according to the check information by using the pager to obtain feedback information from the user. In an embodiment, the interaction module 604 may be configured to perform the operation S204 described above, which is not described herein.

Any of the response module 601, the determination module 602, the transmission module 603, and the interaction module 604 may be combined in one module to be implemented, or any of them may be split into a plurality of modules according to an embodiment of the present disclosure. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. At least one of the response module 601, the determination module 602, the transmission module 603, and the interaction module 604 may be implemented at least in part as hardware circuitry, e.g., a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or as hardware or firmware in any other reasonable manner of integrating or packaging circuitry, or as any one of or a suitable combination of three of software, hardware, and firmware, in accordance with embodiments of the present disclosure. Alternatively, at least one of the response module 601, the determination module 602, the transmission module 603 and the interaction module 604 may be at least partially implemented as computer program modules which, when executed, perform the respective functions.

Fig. 12 schematically illustrates a block diagram of an electronic device adapted to implement the information collation method according to an embodiment of the present disclosure.

As shown in fig. 12, an electronic device 700 according to an embodiment of the present disclosure includes a processor 701 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. The processor 701 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 701 may also include on-board memory for caching purposes. The processor 701 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flows according to embodiments of the disclosure.

In the RAM 703, various programs and data necessary for the operation of the electronic apparatus 700 are stored. The processor 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. The processor 701 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 702 and/or the RAM 703. Note that the program may be stored in one or more memories other than the ROM 702 and the RAM 703. The processor 701 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, the electronic device 700 may further include an input/output (I/O) interface 705, the input/output (I/O) interface 705 also being connected to the bus 704. The electronic device 700 may also include one or more of the following components connected to an input/output (I/O) interface 705: an input section 706 including a keyboard, a mouse, and the like; an output portion 707 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to an input/output (I/O) interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 702 and/or RAM 703 and/or one or more memories other than ROM 702 and RAM 703 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. The program code means for causing a computer system to carry out the information collation method provided by the embodiments of the present disclosure when the computer program product is run in the computer system.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 701. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed over a network medium in the form of signals, downloaded and installed via the communication section 709, and/or installed from the removable medium 711. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 701. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims (14)

1. An information collation method applied to a collation system including a collation server and an external pager, the method comprising:

In response to receiving a request for performing a collation task, determining collation information from the request using the collation server;

determining a target collation pattern from a plurality of collation patterns based on the collation information by using the collation server;

under the condition that the target checking mode is used for representing the man-machine interaction mode, the checking server is utilized to send the checking information to the pager; and

and carrying out voice interaction by using the pager according to the check information to obtain feedback information from the user.

2. The method of claim 1, wherein determining, with the collation server, a target collation style from a plurality of collation styles based on the collation information, comprises:

determining resource attribute information from the collation information; and

and determining a target checking mode matched with the resource attribute information from the plurality of checking modes based on the resource attribute information and a first preset mapping relation table, wherein the first preset mapping relation table is used for representing the corresponding relation between the resource attribute information and the checking mode.

3. The method of claim 1, wherein determining, with the collation server, a target collation style from a plurality of collation styles based on the collation information, comprises:

Determining resource attribute information from the collation information;

determining resource type information and a resource value from the resource attribute information;

determining a resource threshold value matched with the resource type information; and

the target collation pattern is determined from the plurality of collation patterns based on the resource value and the resource threshold.

4. A method according to any one of claims 1 to 3, wherein the voice interaction with the pager based on the verification information to obtain feedback information from the user comprises:

determining a calling period by using the pager;

establishing communication connection with the terminal equipment according to the calling time period by using the pager; and

and carrying out voice interaction with the user through the terminal equipment by utilizing the pager according to the check information to obtain the feedback information.

5. The method of claim 4, wherein the voice interaction with the user through the terminal device according to the collation information by using the pager, to obtain the feedback information, comprises:

receiving initial feedback information by using the external pager;

carrying out semantic recognition on the initial feedback information to obtain semantic recognition information; and

And determining target reference information matched with the semantic identification information from a plurality of pieces of reference information based on the semantic identification information and a second preset mapping relation, and taking the target reference information as the feedback information, wherein the second preset mapping relation is used for representing the corresponding relation between the semantic identification information and the reference information.

6. The method of claim 1, further comprising:

generating a response report by using the pager under the condition that the number of unresponsive times of the call reaches a preset number of times threshold;

transmitting the response report to the collation server by the pager; and

and updating the target checking mode into an artificial checking mode by using the checking server.

7. The method of claim 1, further comprising:

under the condition that the target checking mode is determined to be used for representing the information interaction mode, generating information to be confirmed by utilizing the checking server based on the checking information;

the checking server is utilized to send the information to be confirmed to the terminal equipment of the user; and

and receiving feedback information from the terminal equipment by utilizing the check server.

8. The method of claim 7, further comprising:

and under the condition that feedback information from the terminal equipment is not received within a preset time period, updating the target checking mode into a mode for representing human-computer interaction by utilizing the checking server.

9. The method of claim 1, further comprising:

acquiring the feedback information by using the check server; and

and determining a collation result based on the feedback information and the collation information by using the collation server.

10. The method of claim 9, wherein the collation system further comprises a memory;

the method further comprises the steps of:

and transmitting the feedback information to the memory by using the pager so that the check server acquires the feedback information from the memory.

11. An information collation apparatus applied to a collation system including a collation server and an external pager, the information collation apparatus comprising:

a response module for determining collation information from a request for performing a collation task using the collation server in response to receiving the request;

a determining module configured to determine a target collation pattern from a plurality of collation patterns based on the collation information using the collation server;

The sending module is used for sending the checking information to the pager by using the checking server under the condition that the target checking mode is determined to be used for representing the man-machine interaction mode; and

and the interaction module is used for carrying out voice interaction by utilizing the pager according to the check information to obtain feedback information from a user.

12. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-10.

13. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1 to 10.

14. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 10.