CN115795002A - Intelligent interaction method and system - Google Patents
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Abstract
The invention provides an intelligent interaction method and system; wherein the method comprises the following steps: judging whether first information of a first user meets a first preset condition or not; if so, interacting with the first user based on a first interaction scheme to obtain a first interaction record; if not, interacting with the first user based on a second interaction scheme to obtain a second interaction record; and providing the first interaction record to a second user in a mode of giving priority to the display of the second interaction record. According to the method, the appropriate reply content is decided based on whether the first information sent by the recruiter meets the preset condition, and the appropriate display mode is correspondingly determined to be output to the recruiter, so that the reply quality is improved, and the processing load of the corresponding engagement information of the recruiter is reduced.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent interaction method, an intelligent interaction system, electronic equipment and a computer storage medium.
Background
As information technology advances, more and more recruitment systems begin to use automated interaction systems (i.e., intelligent reply robots) to interact with applicants. However, such intelligent answering robots generally provide only simple and fixed answering content, such as "you are good, have seen your resume, and will contact you as soon as possible". Meanwhile, in the interactive interface, the interactive records of all the applicants are displayed in the interactive list, and when a plurality of applicants exist, a heavy processing burden is brought to the recruiters.
Disclosure of Invention
In order to solve at least the technical problems in the background art, the invention provides an intelligent interaction method, an intelligent interaction system, an electronic device and a computer storage medium.
The invention provides an intelligent interaction method in a first aspect, which comprises the following steps:
judging whether first information of a first user meets a first preset condition or not;
if so, interacting with the first user based on a first interaction scheme to obtain a first interaction record;
if not, interacting with the first user based on a second interaction scheme to obtain a second interaction record;
and providing the first interaction record to a second user in a mode of prioritizing display of the second interaction record.
Further, the determining whether the first information of the first user meets a first preset condition includes:
determining second information according to the first information, and calculating a first matching degree of the first information and the second information;
and if the first matching degree is greater than or equal to a preset threshold value, judging that the first information meets the first preset condition.
Further, the calculating a first matching degree of the first information and the second information includes:
analyzing the first information and the second information respectively to obtain a first sub information set and a second sub information set;
determining corresponding first sub information in the first sub information set by taking each second sub information in the second sub information set as a reference, and calculating a second matching degree;
and calculating to obtain the first matching degree according to the weight corresponding to each piece of the second sub information and the second matching degree.
Further, the number of the second sub information in the second sub information set is determined as follows:
third information of a third user related to the second information is called, and first characteristics of the third user are determined according to the third information;
calling fourth information of a third user related to the third information, and determining a second characteristic of the third user according to the fourth information;
and calculating a third matching degree of the first feature and the second feature, and determining the quantity of the second sub information in the second sub information set according to the third matching degree.
Further, the method further comprises:
determining the preset threshold according to the third matching degree; wherein the preset threshold is positively correlated with the third matching degree.
Further, interacting with the first user based on the first interaction scenario or the second interaction scenario, comprising:
determining a first interaction scheme based on the first information and/or the second information and/or the first matching degree;
determining the second interaction scheme according to a second preset condition;
interacting with the first user based on the first interaction scenario or the second interaction scenario.
Further, said providing said first interaction record to a second user in a manner that prioritizes display of said second interaction record comprises:
determining the display quantity according to the attribute data of the display interface;
determining a first number of the first interaction records, and determining a second number of the second interaction records;
sequencing the first interaction record and the second interaction record according to the second characteristic, and displaying the first interaction record and the second interaction record according to a sequencing result;
wherein the first interaction record is in a prominent display position; the sum of the first number and the second number is less than or equal to the display number.
The invention provides an intelligent interaction system in a second aspect, which comprises a receiving module, a processing module and a storage module; the processing module is connected with the receiving module and the storage module;
the storage module is used for storing executable computer program codes;
the receiving module is used for receiving first information of a first user and transmitting the first information to the processing module;
the processing module is configured to execute the method according to any one of the preceding claims by calling the executable computer program code in the storage module.
A third aspect of the present invention provides an electronic device comprising: a memory storing executable program code; a processor coupled with the memory; the processor calls the executable program code stored in the memory to perform the method of any of the preceding claims.
A fourth aspect of the invention provides a computer storage medium having stored thereon a computer program which, when executed by a processor, performs a method as set forth in any one of the preceding claims.
According to the scheme, the appropriate reply content is determined based on whether the first information sent by the applicant meets the preset condition, and the appropriate display mode is correspondingly determined to be output to the recruiter, so that the reply quality is improved, and the processing load of the recruitment information corresponding to the recruiter is reduced.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic flowchart of an intelligent interaction method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an intelligent interactive system disclosed in the embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the 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 invention.
The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a plurality" typically includes at least two.
It should be understood that the term "and/or" as used herein is merely a relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B, may represent: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship.
It should be understood that, although the terms first, second, third, etc. may be used to describe \8230;, these \8230;, should not be limited to these terms in the embodiments of the present application. These terms are used only to distinguish between \8230; \8230. For example, a first 8230; also referred to as a second 8230; without departing from the scope of embodiments of the present application, similarly, the second one (8230) \\8230; also known as the first one (8230); 8230).
The words "if", as used herein, may be interpreted as "at \8230; \8230when" or "when 8230; \823030, when" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrases "comprising one of \8230;" does not exclude the presence of additional like elements in an article or system comprising the element.
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent interaction method according to an embodiment of the present invention. As shown in fig. 1, an intelligent interaction method according to an embodiment of the present invention includes the following steps:
judging whether first information of a first user meets a first preset condition or not;
if so, interacting with the first user based on a first interaction scheme to obtain a first interaction record;
if not, interacting with the first user based on a second interaction scheme to obtain a second interaction record;
and providing the first interaction record to a second user in a mode of prioritizing display of the second interaction record.
In the embodiment of the invention, as described in the background art, the intelligent interactive robot in the prior art can only reply to the applicant with uniform content according to the preset fixed scheme, and the interactive records can be all displayed to the recruiter according to the time sequence, which can cause that the applicant is difficult to obtain valuable reply content, and the consulting load of the recruiter on the information of the recruiting is also large. Aiming at the technical problem, the invention determines the appropriate reply content based on whether the first information sent by the applicant meets the first preset condition, and correspondingly determines the appropriate display mode to output to the recruiter, thereby not only improving the reply quality, but also reducing the processing load of the recruitment information corresponding to the recruiter.
The scheme of the invention can be integrated in the recruitment software in the form of a functional module, can be embedded in the recruitment software in the form of a plug-in, and can be independently arranged in the form of a functional component (such as APP) and communicated with the recruitment software in an interconnected manner. The independent functional components can be various processing modules, such as a single chip microcomputer, a DSP, a CPU and other processors with computing processing functions, and also can be various terminal devices with such processors, such as mobile phones, tablet computers, wearable devices, virtual/augmented reality devices and the like; the server related to the invention can be an independent physical server, can also be a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, network service, cloud communication, middleware service, domain name service, security service, content Delivery Network (CDN), big data, an artificial intelligence platform and the like.
Further, the determining whether the first information of the first user meets a first preset condition includes:
determining second information according to the first information, and calculating a first matching degree of the first information and the second information;
and if the first matching degree is greater than or equal to a preset threshold value, judging that the first information meets the first preset condition.
In the embodiment of the invention, the applicant generally applies for a certain position, so that the position of the applicant, namely the second information, can be determined based on the first information submitted by the applicant, and whether the first preset condition is met or not can be determined by calculating the first matching degree of the first information submitted by the applicant and the corresponding second information. By the arrangement, the first information obviously not meeting the application condition can be filtered.
It should be noted that, the matching degree calculation according to the present invention may adopt a conventional matching degree calculation method for the feature vector, such as euclidean distance, manhattan distance, cosine similarity, and the like, and the present invention is not limited thereto.
Further, the calculating a first matching degree of the first information and the second information includes:
analyzing the first information and the second information respectively to obtain a first sub information set and a second sub information set;
determining corresponding first sub information in the first sub information set by taking each second sub information in the second sub information set as a reference, and calculating a second matching degree;
and calculating to obtain the first matching degree according to the weight corresponding to each piece of the second sub information and the second matching degree.
In the embodiment of the invention, the recruitment requirement issued by the recruiter comprises a plurality of conditions of application, such as academic calendar, work experience, age, sex, skill and the like, and each condition corresponds to a respective weight coefficient. And respectively carrying out matching calculation on each second sub-information in the application condition and the corresponding first sub-information (obtained by extraction through a semantic analysis algorithm) submitted by the applicant, further obtaining a second matching degree of each condition, and simultaneously fusing based on the weight of each condition to obtain a first matching degree of the first information and the second information.
When the first matching degree is calculated, not only the weight needs to be determined, but also the quantity of the second sub information participating in the matching degree calculation needs to be determined. Wherein the weight can be manually set by the recruiter, namely manually set by an editing interface before release; the weights of the conditions may also be determined automatically based on big data analysis of similar positions, which is not described in detail.
Further, the number of the second sub information in the second sub information set is determined as follows:
third information of a third user related to the second information is called, and first characteristics of the third user are determined according to the third information;
calling fourth information of a third user related to the third information, and determining a second characteristic of the third user according to the fourth information;
and calculating a third matching degree of the first feature and the second feature, and determining the quantity of the second sub information in the second sub information set according to the third matching degree.
In the embodiment of the invention, for the second quantity of the sub-information in the second sub-information set, third information, namely other similar recruitment conditions published by a recruiter associated with the current recruitment position, and fourth information, namely processing data (including opening data, browsing duration, labeling data and the like of various contents of the resume) of first information submitted by the recruiter in response to the third information by the recruiter can be called, and analysis of the third information and the fourth information can determine a first characteristic of the recruiter when publishing a certain position and a second characteristic of the recruiter when reviewing the application information of the recruiter, namely, the publishing preference and the reviewing preference of the recruiter for the recruiting information can be determined. And then, determining a third matching degree based on the publishing preference and the examining preference, and then determining the quantity of more reasonable second sub information. By the arrangement, unimportant information added by the recruiter in the recruitment condition based on the recruitment habit can be properly filtered, and the quantity of the second sub-information which is more suitable for calculating the first matching degree is screened, so that the calculation accuracy of the first matching degree can be improved.
Wherein the amount of the second sub information in the second sub information set is positively correlated with the third matching degree. That is, the greater the number of second sub-information in the second sub-information set used to calculate the first degree of match, the higher the match between the posting preferences and the review preferences (i.e., the less the recruiting information posted by the recruiter relates to non-critical content for the job). Specifically, the weights may be sequentially determined downwards until the determined number is satisfied.
In addition, the third user includes at least the second user, i.e., not only the publisher of the current position (company/organization, specific recruiter, etc.), but also other publishers of the same/same position.
Further, the method further comprises:
determining the preset threshold according to the third matching degree; wherein the preset threshold is positively correlated with the third matching degree.
In the embodiment of the invention, the proportion of the key conditions in the information issued by the recruiter can be determined by analyzing the issuing preference and the reviewing preference, and especially the calculation accuracy of the first matching degree is influenced when the number of the non-key conditions is large. In view of this, the size of the preset threshold is determined based on the third matching degree, specifically, the higher the third matching degree is, the fewer non-key conditions in the recruitment information indicating that the recruiter issues are, and the larger the preset threshold is set at this time; and the lower the third matching degree is, the more non-key conditions in the recruitment information issued by the recruiter are explained, and the smaller the preset threshold is set at the moment, so as to avoid that the first information of the applicant with high actual matching degree is mistakenly identified as low matching degree.
Further, interacting with the first user based on the first interaction scenario or the second interaction scenario, comprising:
determining a first interaction scheme based on the first information and/or the second information and/or the first matching degree;
determining the second interaction scheme according to a second preset condition;
interacting with the first user based on the first interaction scenario or the second interaction scenario.
In the embodiment of the invention, when the degree of matching between the first information submitted by the applicant and the recruitment position is high, a more suitable first interaction scheme can be determined based on at least one of the factors, for example, the intelligent replying robot can reply to 'thank you for application, HR can contact you within 24 hours', 'thank you for application, please explain the specific contents of the XX item experience in detail', and the like; and when the job position matching degree of the applicant is not high, only unified contents can be replied, such as 'good you, seen your resume and thank you for application'. Wherein the second preset condition can be a reply template preset by the system or the recruiter.
Further, the providing the first interaction record to the second user in a manner of prioritizing the display of the second interaction record includes:
determining the display quantity according to the attribute data of the display interface;
determining a first number of the first interaction records and determining a second number of the second interaction records;
sequencing the first interaction record and the second interaction record according to the second characteristic, and displaying the first interaction record and the second interaction record according to a sequencing result;
wherein the first interaction record is in a prominent display position; the sum of the first number and the second number is less than or equal to the display number.
In the embodiment of the invention, the total number of the interaction records which can be displayed when the display interface has the best display effect is determined (the total number is recalculated when the display interface is switched, for example, when the display interface is switched from a full screen to a non-full screen), and then the respective numbers of the first interaction records and the second interaction records which can be simultaneously displayed on the display interface are correspondingly screened out; and then sequencing the first interaction record and the second interaction record of each display sub-area, thereby obtaining the optimal display effect of different types of interaction records in the two display sub-areas. At the moment, when a display interface of the recruitment software is opened, the recruiter can visually see first interaction records of a plurality of applicants with high matching degree at a remarkable display position and second interaction records of a plurality of applicants with general matching degree at a non-remarkable display position, so that the recruiter can conveniently and efficiently check related application contents, and therefore, the rapid screening is carried out.
The display interface can be a chat list interface in the chat interaction interface with the applicant, and the interface is used for displaying chat contents of the applicant and the recruiter account, including unread chat contents. The prominent display location may be an upper region of the display interface, while the non-prominent display location corresponds to a lower region of the display interface; and, the non-prominent display location may be only a location area of one interaction record, which is set as a folding area, i.e., which is unfolded after being clicked, so that the recruiter can see several second interaction records of the applicants with a general degree of matching, and the visual second interaction record is just the aforementioned ranked result.
In addition, the sum of the first number and the second number cannot exceed the display number, and thus a blank area may exist. For example, the number of displays is 10, the first interaction record satisfying the condition has only 5, and the folded non-prominent display position has only 1, so that there are 4 interaction record positions left blank.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an intelligent interactive system according to an embodiment of the present invention. As shown in fig. 2, an intelligent interaction system according to an embodiment of the present invention includes a receiving module (101), a processing module (102), and a storage module (103); the processing module (102) is connected with the receiving module (101) and the storage module (103);
the storage module (103) for storing executable computer program code;
the receiving module (101) is used for receiving first information of a first user and transmitting the first information to the processing module (102);
the processing module (102) is configured to execute the method according to any of the preceding claims by calling the executable computer program code in the storage module (103).
The specific functions of the intelligent interactive system in this embodiment refer to the above embodiment, and since the system in this embodiment adopts all technical solutions of the above embodiment, at least all beneficial effects brought by the technical solutions of the above embodiment are achieved, which is not described in detail herein.
Referring to fig. 3, fig. 3 is an electronic device according to an embodiment of the present invention, including: a memory storing executable program code; a processor coupled with the memory; the processor calls the executable program code stored in the memory to execute the method according to the previous embodiment.
The embodiment of the invention also discloses a computer storage medium, wherein a computer program is stored on the storage medium, and when the computer program is executed by a processor, the method of the embodiment is executed.
An apparatus/system according to an embodiment of the present disclosure may include a processor, a memory for storing and executing program data, a persistent memory such as a disk drive, a communication port for handling communication with an external apparatus, and a user interface device, etc. The method is implemented as a software module or may be stored on a computer-readable recording medium as computer-readable code or program commands executable by a processor. Examples of the computer readable recording medium may include magnetic storage media (e.g., read Only Memory (ROM), random Access Memory (RAM), floppy disks, hard disks, etc.), optical reading media (e.g., CD-ROMs, digital Versatile Disks (DVDs), etc.), and the like. The computer readable recording medium can be distributed over network coupled computer systems and the computer readable code can be stored and executed in a distributed fashion. The medium may be computer readable, stored in a memory, and executed by a processor.
Embodiments of the present disclosure may be indicated as functional block components and various processing operations. Functional blocks may be implemented as various numbers of hardware and/or software components that perform the specified functions. For example, embodiments of the present disclosure may implement direct circuit components, such as memories, processing circuits, logic circuits, look-up tables, and the like, that may perform various functions under the control of one or more microprocessors or other control devices. The components of the present disclosure may be implemented by software programming or software components. Similarly, embodiments of the disclosure may include various algorithms implemented by combinations of data structures, procedures, routines, or other programming components, and may be implemented by programming or scripting languages (such as C, C + +, java, assembler, or the like). The functional aspects may be implemented by algorithms executed by one or more processors. Furthermore, embodiments of the present disclosure may implement related techniques for electronic environment settings, signal processing, and/or data processing. Terms such as "mechanism," "element," "unit," and the like may be used broadly and are not limited to mechanical and physical components. These terms may represent a series of software routines associated with a processor or the like.
Specific embodiments have been described in this disclosure by way of example, and the scope of the embodiments is not limited in this respect.
While embodiments of the present disclosure have been described, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present disclosure as defined by the following claims. Therefore, the above-described embodiments of the present disclosure should be construed as examples, and not limiting the embodiments in all aspects. For example, each component described as a single unit may be executed in a distributed fashion, and likewise, components described as distributed may be executed in a combined fashion.
The use of all examples or example terms (e.g., etc.) in the embodiments of the present disclosure is for the purpose of describing the embodiments of the present disclosure and is not intended to limit the scope of the embodiments of the present disclosure.
Moreover, unless explicitly stated otherwise, expressions such as "necessary," "important," and the like, associated with certain components may not indicate an absolute need for the component.
Those of ordinary skill in the art will understand that the embodiments of the present disclosure may be implemented in modified forms without departing from the spirit and scope of the present disclosure.
Since the present disclosure allows various changes to be made to the embodiments of the present disclosure, the present disclosure is not limited to the specific embodiments, and it will be understood that all changes, equivalents, and substitutions without departing from the spirit and technical scope of the present disclosure are included in the present disclosure. The embodiments of the present disclosure described herein are therefore to be considered in all respects as illustrative and not restrictive.
Also, terms such as "unit", "module", and the like mean a unit that processes at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software. The "unit" and the "module" may be stored in a storage medium to be addressed, and may be implemented as a program that may be capable of being executed by a processor. For example, "unit" and "module" may refer to components such as software components, object-oriented software components, class components and task components, and may include processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, or variables.
In the present disclosure, the expression "a may include one of a1, a2, and a3" may broadly indicate that examples that may be included in the element a include a1, a2, or a3. This expression should not be interpreted as being limited to the meaning of examples included in the element a that must be limited to a1, a2 and a3. Therefore, as an example included in the element a, it should not be construed as excluding elements other than a1, a2, and a3. In addition, the expression indicates that the element a may include a1, a2, or a3. The expression does not imply that the elements comprised by element a must be selected from a specific set of elements. That is, the expression should not be restrictively understood to mean that a1, a2, or a3, which must be selected from the group consisting of a1, a2, and a3, is included in the element a.
Furthermore, in the present disclosure, at least one of the expressions "a1, a2 and/or a3" means one of "a1", "a2", "a3", "a1 and a2", "a1 and a3", "a2 and a3", and "a1, a2 and a 3". Therefore, it should be noted that the expression "at least one of a1," at least one of a2, and "at least one of a3" should not be interpreted as "at least one of a1," at least one of a2, "and" at least one of a3, "unless explicitly described as" at least one of a1, at least one of a2, and at least one of a3.
Claims (10)
1. An intelligent interaction method is characterized by comprising the following steps:
judging whether first information of a first user meets a first preset condition or not;
if so, interacting with the first user based on a first interaction scheme to obtain a first interaction record;
if not, interacting with the first user based on a second interaction scheme to obtain a second interaction record;
and providing the first interaction record to a second user in a mode of prioritizing display of the second interaction record.
2. The intelligent interaction method according to claim 1, wherein: the judging whether the first information of the first user meets a first preset condition includes:
determining second information according to the first information, and calculating a first matching degree of the first information and the second information;
and if the first matching degree is greater than or equal to a preset threshold value, judging that the first information meets the first preset condition.
3. The intelligent interaction method of claim 2, wherein: the calculating the first matching degree of the first information and the second information comprises:
analyzing the first information and the second information respectively to obtain a first sub-information set and a second sub-information set;
determining corresponding first sub information in the first sub information set by taking each second sub information in the second sub information set as a reference, and calculating a second matching degree;
and calculating to obtain the first matching degree according to the weight corresponding to each piece of the second sub information and the second matching degree.
4. The intelligent interaction method of claim 3, wherein: the number of the second sub information in the second sub information set is determined by adopting the following method:
calling third information of a third user related to the second information, and determining a first characteristic of the third user according to the third information;
calling fourth information of a third user related to the third information, and determining a second characteristic of the third user according to the fourth information;
and calculating a third matching degree of the first feature and the second feature, and determining the quantity of the second sub information in the second sub information set according to the third matching degree.
5. The intelligent interaction method of claim 4, wherein: the method further comprises the following steps:
determining the preset threshold according to the third matching degree; wherein the preset threshold is positively correlated with the third matching degree.
6. An intelligent interaction method according to any one of claims 2 to 5, wherein: interacting with the first user based on the first interaction scenario or the second interaction scenario, including:
determining a first interaction scheme based on the first information and/or the second information and/or the first matching degree;
determining the second interaction scheme according to a second preset condition;
interacting with the first user based on the first interaction scenario or the second interaction scenario.
7. The intelligent interaction method of claim 6, wherein: the providing the first interaction record to the second user in a manner of prioritizing the display of the second interaction record comprises:
determining the display quantity according to the attribute data of the display interface;
determining a first number of the first interaction records, and determining a second number of the second interaction records;
sequencing the first interaction record and the second interaction record according to the second characteristic, and displaying the first interaction record and the second interaction record according to a sequencing result;
wherein the first interaction record is in a prominent display position; the sum of the first number and the second number is less than or equal to the display number.
8. An intelligent interaction system comprises a receiving module, a processing module and a storage module; the processing module is connected with the receiving module and the storage module;
the storage module is used for storing executable computer program codes;
the receiving module is used for receiving first information of a first user and transmitting the first information to the processing module;
the method is characterized in that: the processing module for executing the method according to any one of claims 1-7 by calling the executable computer program code in the storage module.
9. An electronic device, comprising: a memory storing executable program code; a processor coupled with the memory; the method is characterized in that: the processor calls the executable program code stored in the memory to perform the method of any of claims 1-7.
10. A computer storage medium having a computer program stored thereon, characterized in that: the computer program, when executed by a processor, performs the method of any one of claims 1-7.
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