CN115795002B - Intelligent interaction method and system - Google Patents
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Abstract
The application 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 yes, 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. The application decides the proper reply content based on whether the first information sent by the recruiter meets the preset condition or not, and correspondingly determines the proper display mode to output to the recruiter, thereby improving the reply quality and reducing the processing load of the recruiter corresponding to the recruitment information.
Description
Technical Field
The application 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
With advances in information technology, more and more recruitment systems are beginning to use automated interactive systems (i.e., intelligent response robots) to interact with the recruiter. However, such intelligent reply robots generally only provide simple, fixed reply content, such as "you good, have seen your resume, and will contact you as soon as possible. Meanwhile, in the interactive interface, the interactive records of all the recruiters are displayed in the interactive list, and when the recruiters are many, the recruiters are very heavy in processing burden.
Disclosure of Invention
In order to at least solve the technical problems in the background art, the application provides an intelligent interaction method, an intelligent interaction system, electronic equipment and a computer storage medium.
The first aspect of the application provides an intelligent interaction method, which comprises the following steps:
judging whether first information of a first user meets a first preset condition or not;
if yes, 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.
Further, the determining whether the first information of the first user meets the 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 the first matching degree of the first information and the second information includes:
respectively analyzing the first information and the second information 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 according to the weight corresponding to each piece of second sub-information and the second matching degree to obtain the first matching degree.
Further, the number of the second sub-information in the second sub-information set is determined by:
retrieving third information of a third user associated with the second information, and determining a first feature of the third user according to the third information;
retrieving fourth information of a third user associated with the third information, and determining a second feature 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 scheme or the second interaction scheme includes:
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;
and interacting with the first user based on the first interaction scheme or the second interaction scheme.
Further, the providing the first interaction record to the second user in a manner that prioritizes 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 a second number of the second interaction records;
sorting 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 the sorting 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 second aspect of the application provides an intelligent interaction system, 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 memory 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 perform the method of any of the preceding claims by invoking the executable computer program code in the storage module.
A third aspect of the present application provides an electronic device comprising: a memory storing executable program code; a processor coupled to the memory; the processor invokes the executable program code stored in the memory to perform the method of any one of the preceding claims.
A fourth aspect of the application provides a computer storage medium having stored thereon a computer program which, when executed by a processor, performs a method as claimed in any one of the preceding claims.
According to the scheme, the method and the device for judging the response content of the recruiter based on whether the first information sent by the recruiter meets the preset condition or not makes a decision on the proper response content, and correspondingly determines a proper display mode to output to the recruiter, so that the response quality is improved, and the processing load of the recruiter corresponding to the recruitment information is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an intelligent interaction method disclosed in an embodiment of the application;
FIG. 2 is a schematic diagram of an intelligent interaction system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic 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 more apparent, the present application will be described in further detail below with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in 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, the "plurality" generally includes at least two.
It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe … … in embodiments of the present application, these … … should not be limited to these terms. These terms are only used to distinguish … …. For example, the first … … may also be referred to as the second … …, and similarly the second … … may also be referred to as the first … …, without departing from the scope of embodiments of the present application.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (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 product 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 product or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a commodity or system comprising such elements.
Preferred embodiments of the present application 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 application. As shown in fig. 1, an intelligent interaction method in an embodiment of the present application includes the following steps:
judging whether first information of a first user meets a first preset condition or not;
if yes, 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.
In the embodiment of the application, as described in the background art, the intelligent interactive robot in the prior art can only answer unified content to the recruiter according to a preset fixed scheme, and the interactive records are completely displayed to the recruiter according to a time sequence, so that the recruiter can not obtain valuable answer content, and the recruiter has a larger reference load on the recruiting information. Aiming at the technical problem, the application decides the proper reply content based on whether the first information sent by the recruiter meets the first preset condition or not, and correspondingly determines the proper display mode to output to the recruiter, thereby improving the reply quality and reducing the processing load of the recruiter corresponding to the recruitment information.
The scheme of the application can be integrated in recruitment software in the form of a functional module, can be embedded in recruitment software in the form of a plug-in unit, and can be independently arranged in the form of a functional component (such as APP) and communicated with the recruitment software in an interconnection manner. The independent functional components can be various processing modules, such as a single chip microcomputer, a DSP, a CPU and other processors with calculation processing functions, and 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 application can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content distribution networks (Content Delivery Network, CDNs), basic cloud computing services such as big data and artificial intelligent platforms and the like.
Further, the determining whether the first information of the first user meets the 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 application, the recruiter generally performs the recruitment for a position, so that the position of the recruitment, namely the second information, can be determined based on the first information submitted by the recruiter, and then 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 recruiter and the corresponding second information. By the arrangement, the first information which obviously does not meet the application condition can be filtered out.
The matching degree calculation according to the present application may be performed by a conventional matching degree calculation method for the feature vector, for example, euclidean distance, manhattan distance, cosine similarity, and the like, and the present application is not limited thereto.
Further, the calculating the first matching degree of the first information and the second information includes:
respectively analyzing the first information and the second information 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 according to the weight corresponding to each piece of second sub-information and the second matching degree to obtain the first matching degree.
In the embodiment of the application, the recruitment requirements issued by the recruiter may include a plurality of recruitment conditions, such as an academic, a work experience, an age, a sex, a skill, etc., with each condition corresponding to a respective weight coefficient. And respectively carrying out matching calculation on each second sub-information in the application conditions and the corresponding first sub-information submitted by the application person (extracted by a semantic analysis algorithm), so as to obtain a second matching degree of each condition, and simultaneously, carrying out fusion based on the weights of the conditions so as to obtain the first matching degree of the first information and the second information.
In performing the calculation of the first matching degree, it is necessary to determine not only the weight but also the second sub-information amount participating in the calculation of the matching degree. The weights can be manually set by the recruiter, i.e., manually set by an editing interface prior to release; the weights of the conditions can be automatically determined based on the big data analysis of the similar positions, and detailed description is omitted.
Further, the number of the second sub-information in the second sub-information set is determined by:
retrieving third information of a third user associated with the second information, and determining a first feature of the third user according to the third information;
retrieving fourth information of a third user associated with the third information, and determining a second feature 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 application, for the second sub-information quantity in the second sub-information set, the third information which is the other similar recruitment conditions issued by the recruiter associated with the current recruitment position and the fourth information which is the processing data (including the opening data, the browsing time length, the labeling data and the like of each piece of content of resume) of the first information submitted by the recruiter corresponding to the third information can be called, and the first characteristics of the recruiter when issuing a certain type of recruitment position and the second characteristics of the recruiter when examining the application information of the recruiter can be determined by analyzing the third information and the fourth information, namely, the issuing preference and the examination preference of the recruiter on the recruitment information are determined. Then, a third matching degree is determined based on the release preference and the examination preference, and then a more reasonable quantity of the second sub-information is determined. By the arrangement, unimportant information added by recruiters in recruitment conditions based on recruitment habits can be filtered appropriately, and the number of more appropriate second sub-information for calculating the first matching degree is screened, so that the calculation accuracy of the first matching degree can be improved.
Wherein the number of the second sub-information in the second sub-information set is positively correlated with the third matching degree. That is, the greater the matching of the publication preference and the review preference (i.e., the less non-critical content of the job is related to the recruitment information published by the recruiter), the greater the number of second sub-information in the second sub-information set used to calculate the first matching. Specifically, the weight can be determined downwards in sequence according to the weight until the determined number is met.
In addition, the third user includes at least the second user, i.e., not only the publisher of the current position (company/unit, specific recruiter, etc.), but also other publishers of the same/similar 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 application, the occupation ratio of the key conditions in the information issued by the recruiter can be determined by analyzing the issuing preference and the examining preference, and particularly, the calculation accuracy of the first matching degree can be influenced when the non-key conditions are more. In view of this, the present application determines the magnitude of the preset threshold based on the third degree of matching, specifically, the higher the third degree of matching, the less non-critical conditions in the recruitment information issued by the recruiter, the greater the preset threshold is set at this time; and the lower the third matching degree is, the more non-key conditions in recruitment information issued by the recruiter are indicated, and the smaller the preset threshold value is set at the moment, so that the first information of the recruiter with high actual matching degree is prevented from being mistakenly identified as low matching degree.
Further, interacting with the first user based on the first interaction scheme or the second interaction scheme includes:
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;
and interacting with the first user based on the first interaction scheme or the second interaction scheme.
In the embodiment of the application, when the matching degree of the first information submitted by the recruiter and the recruitment position is higher, a more suitable first interaction scheme can be determined based on at least one of the above factors, for example, the intelligent reply robot can reply "thank you for the recruitment, the HR can be contacted with you in 24 hours", "thank you for the recruitment, please explain the specific content experienced by the XX project of you" and the like; and when the job matching degree of the recruiter is not high, only unified content, such as 'you good, have seen your resume, thank you for the recruitment', can be replied. The second preset condition may be a reply template preset by the system or recruiter.
Further, the providing the first interaction record to the second user in a manner that prioritizes 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 a second number of the second interaction records;
sorting 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 the sorting 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 application, the total number of the interaction records which can be displayed by the display interface when the display interface has the best display effect is determined (the total number should be recalculated when the display interface is switched, for example, when the full screen/non-full screen is switched), and then the respective numbers of the first interaction record and the second interaction record 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 subarea, so as to obtain the optimal display effect of the interaction records of different types in the two display subareas. At this time, when the recruiter opens the display interface of the recruitment software, the recruiter can intuitively see the first interaction records of a plurality of recruiters with higher matching degree at the obvious display position and see the second interaction records of a plurality of recruiters with common matching degree at the non-obvious display position, so that the recruiter can conveniently and efficiently view the relevant recruitment content, and quick screening is performed.
The display interface may be a chat list interface in a chat interaction interface with the recruiter, where the interface is configured to display chat content between the recruiter and the recruiter account, including unread chat content. The prominent display position may be an upper region of the display interface, while the non-prominent display position corresponds to a lower region of the display interface; and, the non-prominently displayed location can be simply a location area of one interaction record that is set as a collapsed area, i.e., the area is expanded after being clicked, so that the recruiter can see several second interaction records of the recruiter with a general degree of match, and the visual second interaction records are just the ordered results as described above.
In addition, the sum of the first number and the second number cannot exceed the display number, and thus a blank area exists. For example, the number of display is 10, the first interactive recording satisfying the condition has only 5, and the folded non-significant display position has only 1, so that there are 4 interactive recording positions left empty.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an intelligent interaction system according to an embodiment of the present application. As shown in fig. 2, an intelligent interaction system according to an embodiment of the present application 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);
-said 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);
-said processing module (102) for executing the method according to any of the preceding claims by invoking said executable computer program code in said storage module (103).
For specific functions of an intelligent interaction system in this embodiment, referring to the foregoing embodiments, since the system in this embodiment adopts all the technical solutions of the foregoing embodiments, at least the beneficial effects brought by the technical solutions of the foregoing embodiments are provided, and will not be described in detail herein.
Referring to fig. 3, fig. 3 is an electronic device according to an embodiment of the present application, including: a memory storing executable program code; a processor coupled to the memory; the processor invokes the executable program code stored in the memory to perform the method as described in the previous embodiment.
The embodiment of the application also discloses a computer storage medium, and a computer program is stored on the storage medium, and when the computer program is run by a processor, the computer program executes the method according to the previous embodiment.
An apparatus/system according to an embodiment of the present disclosure may include a processor, a memory for storing program data and executing the program data, a persistent memory such as a disk drive, a communication port for processing communication with an external apparatus, a user interface apparatus, and the like. 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 read-out media (e.g., CD-ROMs, digital Versatile Disks (DVDs), etc.), among others. The computer readable recording medium may be distributed among computer systems connected in a network, and the computer readable code may be stored and executed in a distributed manner. The medium may be computer-readable, stored in a memory, and executed by a processor.
Embodiments of the present disclosure may be directed to 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 memory, processing circuitry, logic circuitry, 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 present disclosure may include various algorithms implemented by a combination of data structures, processes, routines, or other programming components, and may be implemented by a programming or scripting language (such as C, C ++, java, assembler, or the like). The functional aspects may be implemented by algorithms executed by one or more processors. Further, embodiments of the present disclosure may implement related techniques for electronic environment setup, 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 refer to a series of software routines associated with a processor or the like.
Specific embodiments are described in this disclosure as examples, and the scope of the embodiments is not limited thereto.
Although 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. Accordingly, the above-described embodiments of the present disclosure should be construed as examples and are not limited in all respects. For example, each component described as a single unit may be performed in a distributed manner, and as such, components described as distributed may be performed in a combined manner.
All examples or example terms (e.g., etc.) are used in embodiments of the disclosure for the purpose of describing the embodiments of the disclosure and are not intended to limit the scope of the embodiments of the disclosure.
Moreover, unless explicitly stated otherwise, expressions such as "necessary", "important", etc. associated with certain components may not indicate that the components are absolutely required.
Those of ordinary skill in the art will understand that the embodiments of the present disclosure can be implemented in modified forms without departing from the spirit and scope of the disclosure.
As the present disclosure allows various changes to the embodiments of the disclosure, the present disclosure is not limited to the particular embodiments, and it will be understood that all changes, equivalents, and alternatives that do not depart from the spirit and technical scope of the present disclosure are included in the present disclosure. Accordingly, the embodiments of the present disclosure described herein should be understood as examples in all respects and should not be construed as limiting.
Furthermore, terms such as "unit," "module," and the like, refer to a unit that can be implemented as hardware or software or a combination of hardware and software that processes at least one function or operation. The "units" and "modules" may be stored in a storage medium to be addressed, and may be implemented as programs that may be executable 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 mean that examples that may be included in the element a include a1, a2, or a3. The expression should not be interpreted as limiting the meaning of the examples included in element a must be defined as a1, a2 and a3. Therefore, as an example included in the element a, it should not be interpreted as excluding elements other than a1, a2, and a3. In addition, the expression means that the element a may include a1, a2, or a3. The expression does not indicate that the elements comprised by element a must be selected from a specific set of elements. That is, the expression should not be interpreted restrictively as indicating that a1, a2 or a3, which must be selected from the set comprising a1, a2 and a3, is included in the element a.
Further, 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". Thus, it should be noted that the expression "at least one of a1, a2, and/or 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 a 3".
Claims (9)
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 yes, 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;
providing the first interaction record to a second user in a manner that prioritizes the display of the second interaction record, comprising:
determining the display quantity according to the attribute data of the display interface;
determining a first number of the first interaction records and a second number of the second interaction records;
sorting the first interaction records and the second interaction records according to a second characteristic, and displaying the first interaction records and the second interaction records according to a sorting result, wherein the second characteristic is a characteristic when a user with the same identity attribute as the second user examines information provided by a user with the same identity attribute as the first user;
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.
2. An intelligent interaction method according to claim 1, characterized in that: the judging whether the first information of the first user meets the first preset condition comprises the following steps:
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. An intelligent interaction method according to claim 2, characterized in that: the calculating a first matching degree of the first information and the second information includes:
respectively analyzing the first information and the second information 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 according to the weight corresponding to each piece of second sub-information and the second matching degree to obtain the first matching degree.
4. An intelligent interaction method according to claim 3, wherein: the number of the second sub-information in the second sub-information set is determined as follows:
retrieving third information of a third user associated with the second information, and determining a first feature of the third user according to the third information;
retrieving fourth information of a third user associated with the third information, and determining a second feature 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 according to claim 4, wherein: the method further comprises the steps of:
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 of claims 2-5, characterized in that: interacting with the first user based on the first interaction scheme or the second interaction scheme, 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;
and interacting with the first user based on the first interaction scheme or the second interaction scheme.
7. 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 memory 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 performing the method of any of claims 1-6 by invoking the executable computer program code in the storage module.
8. An electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the method is characterized in that: the processor invokes the executable program code stored in the memory to perform the method of any one of claims 1-6.
9. 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 of claims 1-6.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111625632A (en) * | 2020-04-17 | 2020-09-04 | 北京捷通华声科技股份有限公司 | Question-answer pair recommendation method, device, equipment and storage medium |
| CN113115114A (en) * | 2021-03-02 | 2021-07-13 | 北京达佳互联信息技术有限公司 | Interaction method, device, equipment and storage medium |
| CN113570348A (en) * | 2021-09-26 | 2021-10-29 | 山东光辉人力资源科技有限公司 | Resume screening method |
| CN114238607A (en) * | 2021-12-17 | 2022-03-25 | 北京斗米优聘科技发展有限公司 | Deep interactive AI intelligent job-searching consultant method, system and storage medium |
| CN114896536A (en) * | 2022-05-31 | 2022-08-12 | 北京字跳网络技术有限公司 | Message processing method, device, equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3182684A4 (en) * | 2014-07-18 | 2018-05-23 | Shanghai Chule (Cootek) Information Technology Co., Ltd. | Intelligent service interaction platform apparatus, system and realizing method thereof |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111625632A (en) * | 2020-04-17 | 2020-09-04 | 北京捷通华声科技股份有限公司 | Question-answer pair recommendation method, device, equipment and storage medium |
| CN113115114A (en) * | 2021-03-02 | 2021-07-13 | 北京达佳互联信息技术有限公司 | Interaction method, device, equipment and storage medium |
| CN113570348A (en) * | 2021-09-26 | 2021-10-29 | 山东光辉人力资源科技有限公司 | Resume screening method |
| CN114238607A (en) * | 2021-12-17 | 2022-03-25 | 北京斗米优聘科技发展有限公司 | Deep interactive AI intelligent job-searching consultant method, system and storage medium |
| CN114896536A (en) * | 2022-05-31 | 2022-08-12 | 北京字跳网络技术有限公司 | Message processing method, device, equipment and storage medium |
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