CN114117755A - Simulation drilling method and device, computing equipment and storage medium - Google Patents

Simulation drilling method and device, computing equipment and storage medium Download PDF

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CN114117755A
CN114117755A CN202111335262.XA CN202111335262A CN114117755A CN 114117755 A CN114117755 A CN 114117755A CN 202111335262 A CN202111335262 A CN 202111335262A CN 114117755 A CN114117755 A CN 114117755A
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information
simulation
participants
participant
client
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董鹏飞
刘洋
王洁
王永强
李超
乔雪萍
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Taikang Life Insurance Co ltd
Taikang Insurance Group Co Ltd
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Taikang Life Insurance Co ltd
Taikang Insurance Group Co Ltd
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Abstract

The embodiment of the application provides a simulation drilling method, a simulation drilling device, computing equipment and a storage medium, wherein the method comprises the following steps: after receiving the creation information input by the drill creator, determining the simulation role of each participant; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; the simulation roles comprise clients and service staff; the first information is information characterizing the client; pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.

Description

Simulation drilling method and device, computing equipment and storage medium
Technical Field
The embodiment of the application relates to the technical field of simulation drilling, in particular to a simulation drilling method, a simulation drilling device, computing equipment and a storage medium.
Background
With the development of industries such as insurance and the like, training of business personnel is more and more popular, and the skills of the business personnel can be improved by training the business personnel. Simulation drilling is an important training mode in some industries.
In the related art, a plurality of operators can perform simulation exercises face to face.
However, the above-mentioned method needs a lot of time for all the staff to go to the practice site to implement, i.e. face-to-face off-line simulation practice, and is greatly limited by time and space.
Disclosure of Invention
The embodiment of the application provides a simulation drilling method, a simulation drilling device, computing equipment and a storage medium, which are used for flexibly and pertinently performing simulation drilling.
In a first aspect, an embodiment of the present application provides a simulation drilling method, where the method includes:
after receiving the creation information input by the drill creator, determining the simulation role of each participant; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; the simulation roles comprise clients and service staff; the first information is information characterizing the client;
pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
According to the scheme, each participant performs simulation drilling on line, is less limited by time and space, can perform drilling flexibly, and has good interactivity and good drilling effect; in addition, the simulation exercise is limited in a specific service scene through the creation information input by the exercise creator, and then the creation information and the second information of the simulation role are pushed to the corresponding participants, so that the participants perform the simulation exercise around the specific service scene, the topics are not prone to diverging and deviating in the exercise process, the participants reduce possible problems in the real service scene through flexibly restoring the real service scene, and the skill improvement of the participants is more remarkable. In addition, by setting the roles of the operators in the simulation drill, the corresponding participants can mine the client requirements based on the uninputed preset label field level and communicate the interested topics with the client under the guidance of the first recommendation information; the role of the client is set in the simulation drill, the corresponding participants get rid of the limitation of the inherent thinking of the work through transposition thinking, the problems are observed and thought from the perspective of the client, and the essential requirements of the client are comprehensively and deeply understood.
In some optional embodiments, the first recommendation information is determined by:
inputting the first information into a client representation model, and determining a target client representation output by the client representation model;
and determining recommendation information corresponding to the target customer image as the first recommendation information based on a corresponding relation between a preset customer image and the recommendation information.
According to the scheme, the target customer portrait corresponding to the first information is conveniently and efficiently determined based on the customer portrait model; and then accurately determining first recommendation information which is interesting to the client based on the corresponding relation between the preset client portrait and the recommendation information.
In some optional embodiments, the simulated character further comprises a reviewer and a viewer; and if the creating information comprises the first information, the second information of the reviewers and the audiences also comprises the first recommendation information.
According to the scheme, the role of the reviewer is set in the simulation drilling, and the random information and the first recommendation information are pushed to the participant of the simulation reviewer, so that the participant objectively reviews the drilling of the participant of the simulation client and the participant of the simulation salesman; by setting the roles of the audiences in the simulation drill, the corresponding participants can observe the conversation between the participants of the simulation client and the participants of the simulation salesman at the view angles of the emperors, and the advantages, the disadvantages, the defects and the omissions are brought into play.
In some optional embodiments, the method further comprises:
and in response to review information triggered by the participant of the simulation reviewer, pushing the review information to at least one of the participant of the simulation salesman, the participant of the simulation client and the participant of the simulation audience.
According to the scheme, the review information is pushed to the participants of the simulation salesman, the participants of the simulation client and the participants of the simulation audience, so that the participants can absorb the defects in the exercise and have better performance in real business.
In some optional embodiments, the method further comprises:
responding to information which is triggered by a participant of a simulation client and contains a keyword, and determining second recommendation information corresponding to the keyword based on a knowledge graph;
and pushing the second recommendation information to the participants of the simulation salesman, the participants of the simulation reviewer and the participants of the simulation audience.
According to the scheme, the second recommendation information which is currently interested by the client is pushed to the participants of the simulation salesman, and the participants of the simulation salesman can control the requirements of the client in real time and develop communication of related topics; the second recommendation information is pushed to the participant of the simulation reviewer, so that the participant objectively evaluates the rationality of the second recommendation information; by pushing the second recommendation information to the participant simulating the audience, the participant can observe the rationality of the second recommendation information in the current scene from the view angle.
In some optional embodiments, the method further comprises:
and in response to the scoring result of the second recommendation information by the participants of the simulated reviewers and/or the participants of the simulated audiences, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
According to the scheme, the high-quality second recommendation information and the corresponding information containing the keywords are selected based on the grading result, and the knowledge graph is continuously optimized based on the second recommendation information and the corresponding information containing the keywords, so that the follow-up second recommendation information based on the knowledge graph is more accurate, and the customer experience is improved.
In some optional embodiments, in response to a result of scoring the second recommendation information by a participant of the simulated reviewer and/or a participant of the simulated audience, updating the knowledge-graph based on the second recommendation information and corresponding information containing the keyword, including:
responding to a grading result of a participant of a simulated reviewer and/or a participant of a simulated audience on the second recommendation information, and determining whether the grading result is higher than a preset value;
and if the grading result is higher than a preset value, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
In a second aspect, an embodiment of the present application further provides a simulation exercise device, including:
the role determination module is used for determining the simulation roles of all participants after receiving the creation information input by the drill creator; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; the simulation roles comprise clients and service staff; the first information is information characterizing the client;
the information pushing module is used for pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
In a third aspect, an embodiment of the present application provides a computing device, including at least one processor and at least one memory, where the memory stores a computer program, and when the program is executed by the processor, the processor is caused to execute the simulation drilling method according to any one of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program executable by a computing device, the program, when executed on the computing device, causing the computing device to perform the simulation drilling method according to any one of the first aspect.
In addition, for technical effects brought by any one implementation manner in the second to fourth aspects, reference may be made to technical effects brought by different implementation manners in the first aspect, and details are not described here.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a first simulation drilling method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a first user interface provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of a second user interface provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of a third user interface provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of a fourth user interface provided by an embodiment of the present application;
FIG. 6 is a schematic diagram of a fifth user interface provided in an embodiment of the present application;
fig. 7 is a schematic flowchart of a second simulation drilling method according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a simulation exercise device according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a computing device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the embodiment of the present application, the term "and/or" describes an association relationship of associated objects, and means that there may be three relationships, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly stated or limited, the term "connected" is to be understood broadly, and may for example be directly connected, indirectly connected through an intermediate medium, or be a communication between two devices. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Simulation drilling is an important training mode in some industries.
In some embodiments, multiple operators may perform face-to-face simulation exercises, i.e., offline real-person exercises. However, this method requires a lot of operators to go to the practice area, i.e. face-to-face off-line simulation practice, and is limited by time and space.
In other embodiments, each of the agents may perform an on-line simulated drill with the robot, i.e., an on-line human-machine drill. However, this approach is less interactive and less autonomous.
In still other embodiments, multiple operators may perform analog drills online, i.e., online human sparring. A plurality of salesmens perform simulation drilling on line, and the simulation drilling system is less limited by time and space, has better interactivity and has good drilling effect.
However, in some of the above simulation drills, the topics are easily diverged, and the actual business may be deviated during the drilling, so that the skill improvement of the operator is limited.
In view of this, an embodiment of the present application provides a simulation drilling method, an apparatus, a computing device, and a storage medium, where the method includes: after receiving the creation information input by the drill creator, determining the simulation role of each participant; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; and pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants.
According to the scheme, each participant performs simulation drilling on line, is less limited by time and space, can perform drilling flexibly, and has good interactivity and good drilling effect; in addition, the simulation exercise is limited in a specific service scene through the creation information input by the exercise creator, and then the creation information and the second information of the simulation role are pushed to the corresponding participants, so that the participants perform the simulation exercise around the specific service scene, the topics are not prone to diverging and deviating in the exercise process, the participants reduce possible problems in the real service scene through flexibly restoring the real service scene, and the skill improvement of the participants is more remarkable.
The following describes the technical solutions of the present application and how to solve the above technical problems in detail with reference to the accompanying drawings and specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
The embodiment of the present application provides a first simulation drilling method, as shown in fig. 1, including the following steps:
step S101: after receiving the creation information input by the drill creator, the simulation role of each participant is determined.
The creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; the simulation roles comprise clients and service staff; the first information is information characterizing the client.
The above-mentioned drill subject is the whole topic of drilling through, taking the insurance industry as an example, the drill subject can be insurance triple-phony, new product, etc.
In this embodiment, a plurality of preset tag fields are preset, and relevant features of a client are described by inputting information of the preset tag fields. The first information may be information of a client that is docked in an actual service, and in a previous docking, the drill creator may have a rough but incomplete knowledge of the client based on communication with the client, and based on this, may determine the first information corresponding to a part or all of the preset tag fields.
In implementation, a drill creator can preferentially select a role to be simulated and create a role for other participants to select to simulate; by sending drill invitations to other participants, the other participants then select the character to be simulated. For example: participant a selects simulation role 1, and also creates simulation role 2 and simulation role 3; the participant A invites the participant B and the participant C to join the simulation exercise; participant B accepts the invitation first, selects simulation role 2 from simulation role 2 and simulation role 3, and participant C accepts the invitation and then can only select simulation role 3.
The above example is only an example of the selection process of the simulation characters, and the present embodiment does not specifically limit the number of simulation characters, the types of simulation characters, and the number of participants.
Fig. 2 illustrates a user interface of a drill creator. Referring to fig. 2, the drill creator selects one selectable option in the "topic type" as the drill topic of the simulation drill by clicking the "topic type" button; selecting any role from candidate simulation roles corresponding to the 'own role' as a role to be simulated; one or more roles are selected from candidate simulation roles corresponding to the 'other-person roles' as the rest roles which can be simulated by other participants.
The drill creator enters the user interface shown in fig. 3 by clicking the "customer tab" button, and selects the fields requiring the input of the first information from all the preset tab fields, and enters or selects the corresponding first information in these fields. Referring to fig. 3, first information corresponding to "existing security" is "500 w of quota", "first information corresponding to age" is "40 years", "first information corresponding to gender" is "male", "first information corresponding to work" is "boss", "first information corresponding to customer income" is "500 w", "first information corresponding to hobby" is "travel", and "first information corresponding to family structure" is "a couple of children".
In some optional embodiments, for the preset tag fields where no information is input by the drill creator, random information corresponding to the preset tag fields needs to be randomly generated. Referring to fig. 3, the random information corresponding to "character" is "kairan", and the random information corresponding to "risk preference" is "high risk". Therefore, the known label content of the real client is kept, and the unknown label content is enriched, so that a specific character image is simulated.
In addition, the drill creator can also enter the name of the simulation drill in the input box corresponding to the subject name; the option corresponding to "disclosure or" not disclosure "is selected.
It is to be understood that the above-mentioned user interface of the drill creator is only an exemplary illustration, and other similar interfaces can be adopted as the user interface of the drill creator.
In addition, for the customer who is not understood at all, the drill creator may not input any first information corresponding to the preset tag field, and at this time, random information needs to be generated for all the preset tag fields, and in this scenario, a specific character image can also be simulated.
Step S102: and pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants.
In this embodiment, in order to restrict the topic directions of all participants, creation information needs to be pushed to each participant, so that the participants perform simulated drilling around a specific business scene.
In addition, the simulated roles of different participants are different, and the participants need to be guided correspondingly to the roles in the simulated competition, so that the second information of the simulated roles can be pushed to the corresponding participants.
According to the scheme, each participant performs simulation drilling on line, is less limited by time and space, can perform drilling flexibly, and has good interactivity and good drilling effect; in addition, the simulation exercise is limited in a specific service scene through the creation information input by the exercise creator, and then the creation information and the second information of the simulation role are pushed to the corresponding participants, so that the participants perform the simulation exercise around the specific service scene, the topics are not prone to diverging and deviating in the exercise process, the participants reduce possible problems in the real service scene through flexibly restoring the real service scene, and the skill improvement of the participants is more remarkable.
As described above, the simulated characters include clients and business personnel; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
Referring to fig. 4, in the user interface of the participant of the simulation client, not only the first information corresponding to the preset tag field input by the drill creator is displayed, but also the random information corresponding to the preset tag field not input by the drill creator is displayed, so that the participant simulates a certain client image, and restores the essential requirements of the client in transposition thinking, thereby inducing a situation. In the drilling process, the participants of the simulation clients communicate with the participants of the simulation salesman around the characteristics of the first information and the random information.
Referring to fig. 5, in the user interface of the participant of the simulation service provider, first information corresponding to a preset tag field input by the drill creator is displayed, and first recommendation information of interest of the client determined based on the first information is also displayed to guide the participant and the client to communicate with the interested topic of the client, so that the situations of difficult opening, few topics and the like are reduced. In addition, preset tag fields which are not input by the drill creator can be displayed, the participant is guided to explore random information of the preset tag fields, and customer requirements are deeply mined.
Illustratively, the first recommendation information includes a class-level common risk (e.g., a high-quality endowment problem), a topic recommendation (e.g., health management), a concept recommendation (e.g., health wealth and driving), a product recommendation (e.g., happiness and agreement), and the like.
According to the scheme, by setting the roles of the operators in the simulation drilling, the corresponding participants can mine the client requirements based on the uninputed preset label field levels and communicate interested topics with the client under the guidance of the first recommendation information; the role of the client is set in the simulation drill, the corresponding participants get rid of the limitation of the inherent thinking of the work through transposition thinking, the problems are observed and thought from the perspective of the client, and the essential requirements of the client are comprehensively and deeply understood.
In some optional embodiments, the first recommendation information is determined by:
inputting the first information into a client representation model, and determining a target client representation output by the client representation model;
and determining recommendation information corresponding to the target customer image as the first recommendation information based on a corresponding relation between a preset customer image and the recommendation information.
The client portrait is information representing a client type, and the embodiment does not limit a training method of the client portrait model, and the following exemplary methods: and training the initial model by taking the sample first information as the input of the initial model and the similarity between the output result and the corresponding customer portrait as an optimization condition to obtain the customer portrait model.
According to the scheme, the target customer portrait corresponding to the first information is conveniently and efficiently determined based on the customer portrait model; and then accurately determining first recommendation information which is interesting to the client based on the corresponding relation between the preset client portrait and the recommendation information.
In some optional embodiments, the simulated character further comprises a reviewer and a viewer; and if the creating information comprises the first information, the second information of the reviewers and the audiences also comprises the first recommendation information.
Referring to fig. 6, the user interface of the participant of the simulation reviewer shows first information corresponding to the preset tag field input by the drill creator, random information corresponding to the preset tag field not input by the drill creator, and the first recommendation information.
The user interface of the participant simulating the audience is also shown in fig. 6 and will not be described in detail herein.
According to the scheme, the role of the reviewer is set in the simulation drilling, and the random information and the first recommendation information are pushed to the participant of the simulation reviewer, so that the participant objectively reviews the drilling of the participant of the simulation client and the participant of the simulation salesman; by setting the roles of the audiences in the simulation drill, the corresponding participants can observe the conversation between the participants of the simulation client and the participants of the simulation salesman at the view angles of the emperors, and the advantages, the disadvantages, the defects and the omissions are brought into play.
As described above, the participants can review the drill, and in some alternative embodiments, the method further comprises:
and in response to review information triggered by the participant of the simulation reviewer, pushing the review information to at least one of the participant of the simulation salesman, the participant of the simulation client and the participant of the simulation audience.
According to the scheme, the review information is pushed to the participants of the simulation salesman, the participants of the simulation client and the participants of the simulation audience, so that the participants can absorb the defects in the exercise and have better performance in real business.
In some optional embodiments, the participants of the simulation client can also score the performance of the participants of the simulation salesman according to the exercise effect, the self experience and the feeling; the participants of the simulated audience may also stand at the god perspective to score the performance of the participants of the simulated business.
In implementation, the number of each simulated role may be set according to an actual application scenario, which is not specifically limited in this embodiment, for example: set up 1 customer, 1 clerk, 1 reviewer and a plurality of audiences.
The embodiment of the present application provides a second simulation drilling method, as shown in fig. 7, including the following steps:
step S701: after receiving the creation information input by the drill creator, determining the simulation role of each participant; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator.
Step S702: and pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants.
The steps S701 to S702 can refer to the above embodiments, and are not described herein again.
Step S703: and in response to the information which is triggered by the participants of the simulation client and contains the keywords, determining second recommendation information corresponding to the keywords based on the knowledge graph.
In implementation, when the participant simulating the client triggers information containing a keyword, the keyword represents the interest characteristics of the client, and the second recommendation information corresponding to the keyword determined based on the knowledge graph is the content which is currently interested by the client.
Illustratively, the knowledge graph is a word cloud graph constructed by analyzing a sample conversation through a markov chain technique, and the specific construction process is not limited in this embodiment.
Step S704: and pushing the second recommendation information to the participants of the simulation salesman, the participants of the simulation reviewer and the participants of the simulation audience.
In implementation, not only is the recommendation performed before the conversation, but also the contents currently interested by the client are recommended to the participants of the simulation salesman in the real-time conversation, and the second recommendation information is pushed to the participants of the simulation reviewer and the participants of the simulation audience.
According to the scheme, the second recommendation information which is currently interested by the client is pushed to the participants of the simulation salesman, and the participants of the simulation salesman can control the requirements of the client in real time and develop communication of related topics; the second recommendation information is pushed to the participant of the simulation reviewer, so that the participant objectively evaluates the rationality of the second recommendation information; by pushing the second recommendation information to the participant simulating the audience, the participant can observe the rationality of the second recommendation information in the current scene from the view angle.
As described above, the participants of the simulated reviewers and the participants of the simulated viewers can objectively evaluate the reasonability of the second recommendation information, and based on this, in some alternative embodiments, the method further includes:
and in response to the scoring result of the second recommendation information by the participants of the simulated reviewers and/or the participants of the simulated audiences, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
The participant of the simulated reviewer and/or the participant of the simulated audience can be scored based on the reasonableness of the second recommendation information, and the scoring result represents whether the second recommendation information and the corresponding information containing the keywords are high-quality linguistic data, so that the knowledge graph can be updated based on the high-quality second recommendation information and the corresponding information containing the keywords by referring to the scoring result.
Illustratively, if the scoring result of the second recommendation information is higher than a preset score, updating the knowledge graph based on the second recommendation information and corresponding information containing the keywords; otherwise, the knowledge-graph is not updated.
According to the scheme, the high-quality second recommendation information and the corresponding information containing the keywords are selected based on the grading result, and the knowledge graph is continuously optimized based on the second recommendation information and the corresponding information containing the keywords, so that the follow-up second recommendation information based on the knowledge graph is more accurate, and the customer experience is improved.
In the simulation exercise, a multi-person video call can be provided. The specific implementation manner of the video call is not limited in this embodiment, for example, a UCwebview (a control) kernel can be adopted in the video call, so that the page loading speed and the interaction experience of H5 are improved; the development and release cost is reduced by mixing Native with H5(HTML 5.0); the transmission stability is ensured through a real-time streaming media transmission platform; a video quality self-adaptive algorithm can be adopted, and the video definition, the fluency and the size can be changed in real time along with the target code rate; in addition, through low-delay interactive live broadcast and multi-person audio and video conversation, video interaction can be conveniently and quickly carried out among all participants.
In implementation, each participant can perform multiple times of simulation exercises by changing the simulation roles, so that the participant can stand at different angles to perform all-around exercises.
Based on the same inventive concept, the present embodiment provides a simulation drilling device, and referring to fig. 8, the simulation drilling device 800 includes:
the role determination module 801 determines the simulation roles of each participant after receiving the creation information input by the drill creator; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; the simulation roles comprise clients and service staff; the first information is information characterizing the client;
an information pushing module 802, configured to push the creation information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
In some alternative embodiments, the simulated characters include clients and business persons; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
In some optional embodiments, the first recommendation information is determined by:
inputting the first information into a client representation model, and determining a target client representation output by the client representation model;
and determining recommendation information corresponding to the target customer image as the first recommendation information based on a corresponding relation between a preset customer image and the recommendation information.
In some optional embodiments, the simulated character further comprises a reviewer and a viewer; and if the creating information comprises the first information, the second information of the reviewers and the audiences also comprises the first recommendation information.
In some optional embodiments, the information pushing module 802 is further configured to:
and in response to review information triggered by the participant of the simulation reviewer, pushing the review information to at least one of the participant of the simulation salesman, the participant of the simulation client and the participant of the simulation audience.
In some optional embodiments, the information pushing module 802 is further configured to:
responding to information which is triggered by a participant of a simulation client and contains a keyword, and determining second recommendation information corresponding to the keyword based on a knowledge graph;
and pushing the second recommendation information to the participants of the simulation salesman, the participants of the simulation reviewer and the participants of the simulation audience.
In some optional embodiments, the information pushing module 802 is further configured to:
and in response to the scoring result of the second recommendation information by the participants of the simulated reviewers and/or the participants of the simulated audiences, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
In some optional embodiments, the information pushing module 802 is specifically configured to:
responding to a grading result of a participant of a simulated reviewer and/or a participant of a simulated audience on the second recommendation information, and determining whether the grading result is higher than a preset value;
and if the grading result is higher than a preset value, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
Since the apparatus is the apparatus in the method in the embodiment of the present application, and the principle of the apparatus for solving the problem is similar to that of the method, the implementation of the apparatus may refer to the implementation of the method, and repeated details are not repeated.
Based on the same technical concept, the embodiment of the present application further provides a computing device 900, as shown in fig. 9, including at least one processor 901 and a memory 902 connected to the at least one processor, where a specific connection medium between the processor 901 and the memory 902 is not limited in this embodiment of the present application, and the processor 901 and the memory 902 are connected through a bus 903 in fig. 9 as an example. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
The processor 901 is a control center of the computing device, and may connect various parts of the computing device by using various interfaces and lines, and implement data processing by executing or executing instructions stored in the memory 902 and calling data stored in the memory 902. Optionally, the processor 901 may include one or more processing units, and the processor 901 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, an application program, and the like, and the modem processor mainly processes an issued instruction. It will be appreciated that the modem processor described above may not be integrated into the processor 901. In some embodiments, the processor 901 and the memory 902 may be implemented on the same chip, or in some embodiments, they may be implemented separately on separate chips.
The processor 901 may be a general-purpose processor, such as a Central Processing Unit (CPU), a digital signal processor, an Application Specific Integrated Circuit (ASIC), a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof, and may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present Application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in connection with the embodiment of the simulation drilling method may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.
Memory 902, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The Memory 902 may include at least one type of storage medium, and may include, for example, a flash Memory, a hard disk, a multimedia card, a card-type Memory, a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Programmable Read Only Memory (PROM), a Read Only Memory (ROM), a charge Erasable Programmable Read Only Memory (EEPROM), a magnetic Memory, a magnetic disk, an optical disk, and so on. The memory 902 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 902 of the embodiments of the present application may also be circuitry or any other device capable of performing a storage function for storing program instructions and/or data.
In the embodiment of the present application, the memory 902 stores a computer program, which, when executed by the processor 901, causes the processor 901 to perform:
after receiving the creation information input by the drill creator, determining the simulation role of each participant; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; the simulation roles comprise clients and service staff; the first information is information characterizing the client;
pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
In some alternative embodiments, the simulated characters include clients and business persons; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
In some optional embodiments, the first recommendation information is determined by:
inputting the first information into a client representation model, and determining a target client representation output by the client representation model;
and determining recommendation information corresponding to the target customer image as the first recommendation information based on a corresponding relation between a preset customer image and the recommendation information.
In some optional embodiments, the simulated character further comprises a reviewer and a viewer; and if the creating information comprises the first information, the second information of the reviewers and the audiences also comprises the first recommendation information.
In some optional embodiments, the processor 901 further performs:
and in response to review information triggered by the participant of the simulation reviewer, pushing the review information to at least one of the participant of the simulation salesman, the participant of the simulation client and the participant of the simulation audience.
In some optional embodiments, the processor 901 further performs:
responding to information which is triggered by a participant of a simulation client and contains a keyword, and determining second recommendation information corresponding to the keyword based on a knowledge graph;
and pushing the second recommendation information to the participants of the simulation salesman, the participants of the simulation reviewer and the participants of the simulation audience.
In some optional embodiments, the processor 901 further performs:
and in response to the scoring result of the second recommendation information by the participants of the simulated reviewers and/or the participants of the simulated audiences, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
In some optional embodiments, the processor 901 specifically executes:
responding to a grading result of a participant of a simulated reviewer and/or a participant of a simulated audience on the second recommendation information, and determining whether the grading result is higher than a preset value;
and if the grading result is higher than a preset value, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
Since the computing device is the computing device in the method in the embodiment of the present application, and the principle of the computing device to solve the problem is similar to that of the method, reference may be made to implementation of the method for implementation of the computing device, and repeated details are not described here.
Based on the same technical concept, embodiments of the present application also provide a computer-readable storage medium storing a computer program executable by a computing device, wherein the program, when executed on the computing device, causes the computing device to perform the steps of the simulation drilling method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (10)

1. A method of simulation drilling, the method comprising:
after receiving the creation information input by the drill creator, determining the simulation role of each participant; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; the simulation roles comprise clients and service staff; the first information is information characterizing the client;
pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
2. The method of claim 1, wherein the first recommendation information is determined by:
inputting the first information into a client representation model, and determining a target client representation output by the client representation model;
and determining recommendation information corresponding to the target customer image as the first recommendation information based on a corresponding relation between a preset customer image and the recommendation information.
3. The method of claim 1, wherein the simulated characters further comprise reviewers and viewers; and if the creating information comprises the first information, the second information of the reviewers and the audiences also comprises the first recommendation information.
4. The method of claim 3, wherein the method further comprises:
and in response to review information triggered by the participant of the simulation reviewer, pushing the review information to at least one of the participant of the simulation salesman, the participant of the simulation client and the participant of the simulation audience.
5. The method of claim 3, wherein the method further comprises:
responding to information which is triggered by a participant of a simulation client and contains a keyword, and determining second recommendation information corresponding to the keyword based on a knowledge graph;
and pushing the second recommendation information to the participants of the simulation salesman, the participants of the simulation reviewer and the participants of the simulation audience.
6. The method of claim 5, wherein the method further comprises:
and in response to the scoring result of the second recommendation information by the participants of the simulated reviewers and/or the participants of the simulated audiences, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
7. The method of claim 6, wherein updating the knowledge-graph based on the second recommendation information and corresponding information including keywords in response to a result of scoring the second recommendation information by a participant simulating a reviewer and/or a participant simulating a viewer comprises:
responding to a grading result of a participant of a simulated reviewer and/or a participant of a simulated audience on the second recommendation information, and determining whether the grading result is higher than a preset value;
and if the grading result is higher than a preset value, updating the knowledge graph based on the second recommendation information and the corresponding information containing the keywords.
8. A simulation exercise device, comprising:
the role determination module is used for determining the simulation roles of all participants after receiving the creation information input by the drill creator; the creating information comprises a drill subject and/or first information corresponding to a preset label field input by a drill creator; the simulation roles comprise clients and service staff; the first information is information characterizing the client;
the information pushing module is used for pushing the creating information and second information of part or all of the simulation roles to corresponding participants based on the simulation roles of the participants; the second information of the client comprises random information corresponding to a preset label field which is not input by the drill creator; if the creation information comprises the first information, the second information of the waiter comprises first recommendation information determined based on the first information.
9. A computing device comprising at least one processor and at least one memory, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program executable by a computing device, the program, when run on the computing device, causing the computing device to perform the method of any of claims 1 to 7.
CN202111335262.XA 2021-11-11 2021-11-11 Simulation drilling method and device, computing equipment and storage medium Pending CN114117755A (en)

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