CN114118681A - Expert selection method and device - Google Patents
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Abstract
The invention discloses an expert selection method and device, when at least one condition of an expert selection request, a purchase scheme of an expert to be selected, a set expert selection time and the like is detected, the method automatically selects the required expert according to a region selection range and/or a professional selection range and the identification and/or type of a project needing to be evaluated, and can quickly and accurately select the required expert, thereby being beneficial to improving the accuracy and efficiency of the project, such as: the evaluation accuracy and efficiency of the purchasing scheme are improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an expert selection method and device.
Background
At present, the selection method of experts still remains to be recommended by related personnel or to select the required experts by manually inquiring the information of the experts in a database.
However, practice finds that the required experts cannot be quickly selected no matter recommended by related personnel or manually queried in the database, and accurate experts cannot be selected due to the increase of the data amount in the database, subjectivity of personnel and the like. Therefore, it is important to provide a technical solution for quickly and accurately selecting the required experts.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an expert selection method and device, which can quickly and accurately select the required expert.
In order to solve the above technical problem, a first aspect of an embodiment of the present invention discloses an expert selection method, where the method includes:
if the current condition meets the determined expert selection condition, determining an expert selection range according to the current condition, wherein the expert selection range comprises a region selection range and/or a professional selection range;
selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation, wherein the information of the items comprises the sources and/or types of the items;
the expert selection condition comprises one or more of detection of an expert selection request, existence of a purchase scheme of an expert to be selected, and determination of the distance between the expert selection moments at the current moment, wherein the distance between the expert selection moments is less than or equal to the determined distance threshold value.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
when the target expert is selected, an invitation prompt is pushed to the target expert, and the invitation prompt is used for inviting the target expert to participate in project review;
when the selection of all the target experts is completed according to the expert selection range and the information of the project, determining to respond to the invitation prompt and the response is used for indicating the number of the persons receiving the invitation from all the target experts, and judging whether the number of the persons is less than or equal to the determined number of the persons threshold;
and when the number of the persons is judged to be less than or equal to the personnel number threshold value, modifying the expert selection range according to at least one of the determined name of the project, the evaluation time of the project, the holding place of the project, the expert selection deadline of the project, the response rates of all the target experts and the job-performing conditions of all the target experts responding to the invitation prompt, obtaining the modified expert selection range, and selecting the required experts from the expert set according to the modified expert selection range and the information of the project.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, before the selecting, according to the modified information on the expert selection range and the item, a required expert from the expert set, the method further includes:
judging whether a target purchasing scheme exists or not, and inquiring an expert selection strategy corresponding to the target purchasing scheme when the target purchasing scheme is judged to exist;
judging whether the expert selection strategy is matched with the modified expert selection range, and when the expert selection strategy is matched with the modified expert selection range, executing the operation of selecting the needed expert from the expert set according to the modified expert selection range and the item information;
when the judgment result shows that the expert selection strategies are not matched with the modified expert selection range, generating an expert selection suggestion, and sending a confirmation prompt to the determined tenderer, wherein the confirmation prompt is used for prompting the tenderer to confirm the expert selection suggestion;
and when feedback aiming at the confirmation prompt reported by the tenderer is detected and is used for indicating approval of the expert selection suggestion, selecting the required expert from the expert set according to the expert selection suggestion.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
judging whether the current state of the selected target expert meets the determined selection state or not, and deleting the selected target expert when the current state of the selected target expert does not meet the selection state;
wherein the selection status comprises one or more of that the selected target expert is not selected by other items, that the selected target expert is not simultaneously involved in the selection of other items, and that the evaluation time of the items does not conflict with the time that the selected target expert has responded to the involved items.
As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:
encrypting the information of all the target experts to obtain the encrypted information of all the target experts;
after the encrypted information of all the target experts is obtained, judging whether the interval duration between the evaluation starting moments determined by the real-time moment distance is smaller than or equal to the determined interval duration threshold value or not;
and when the judgment result shows that the time interval is less than or equal to the time interval threshold, executing decryption operation on the encrypted information of all the target experts to obtain the decrypted information of all the target experts.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the performing a decryption operation on the encrypted information of all the target experts to obtain the decrypted information of all the target experts includes:
detecting a first decryption instruction triggered by a first person according to the encrypted information of all the target experts, wherein the first decryption instruction comprises characters input by the first person;
judging whether the content included in the first decryption instruction is matched with preset decryption content or not, and detecting a second decryption instruction triggered by a second person aiming at the encrypted information of all the target experts when the content included in the first decryption instruction is matched with the preset decryption content, wherein the second decryption instruction comprises characters input by the second person and biological characteristic information of the second person;
and judging whether the content included in the second decryption instruction is matched with the preset decryption content, and decrypting the information of all the target experts when the content included in the second decryption instruction is matched with the preset decryption content to obtain the decrypted information of all the target experts.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, when the expert selection range includes the professional selection range, the professional selection range includes a main selection professional selection range and an alternative professional selection range;
the selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation, and the selecting method comprises the following steps:
selecting all first experts from the determined expert set according to the main selection expert selection range and the determined information of the items needing evaluation, and judging whether the number of the first experts is larger than or equal to a preset number;
and when the number of the candidate experts is less than the preset number, selecting all second experts from the expert set according to the candidate expert selection range and the project information, and determining all the first experts and all the second experts as target experts.
The second aspect of the embodiment of the invention discloses an expert selection device, which comprises:
the determining module is used for determining an expert selection range according to the current condition if the current condition meets the determined expert selection condition, wherein the expert selection range comprises a region selection range and/or a professional selection range;
the selection module is used for selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation, wherein the information of the items comprises the sources and/or types of the items;
the expert selection condition comprises one or more of detection of an expert selection request, existence of a purchase scheme of an expert to be selected, and determination of the distance between the expert selection moments at the current moment, wherein the distance between the expert selection moments is less than or equal to the determined distance threshold value.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the apparatus further includes:
the pushing module is used for pushing an invitation prompt to the target expert when the target expert is selected, wherein the invitation prompt is used for inviting the target expert to participate in project review;
the determining module is further used for determining to answer the invitation prompt from all the target experts when the selection of all the target experts is completed according to the expert selection range and the item information, wherein the answer is used for indicating the number of people receiving the invitation;
the first judgment module is used for judging whether the number of the personnel is less than or equal to the determined personnel number threshold value;
the modification module is used for modifying the expert selection range according to at least one of the determined name of the project, the evaluation time of the project, the holding place of the project, the expert selection deadline time of the project, the response rate of all the target experts and the job-following conditions of all the target experts responding to the invitation prompt when the first judgment module judges that the number of the personnel is smaller than or equal to the personnel number threshold value, so as to obtain the modified expert selection range;
and the selection module is also used for selecting the required experts from the expert set according to the modified expert selection range and the item information.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the first determining module is further configured to determine whether a target purchasing scheme exists before the selecting module selects a required expert from the expert set according to the modified expert selection range and the item information;
the device further comprises:
the query module is used for querying an expert selection strategy corresponding to the target purchasing scheme when the first judgment module judges that the target purchasing scheme exists;
the first judgment module is further configured to judge whether the expert selection policy is matched with the modified expert selection range, and when the expert selection policy is judged to be matched with the modified expert selection range, the first judgment module triggers the selection module to execute the operation of selecting the required expert from the expert set according to the modified expert selection range and the item information;
the generating module is used for generating an expert selection suggestion according to the expert selection strategy and the modified expert selection range when the first judging module judges that the expert selection strategy is not matched with the expert selection range;
the pushing module is further used for sending a confirmation prompt to the determined tenderer, and the confirmation prompt is used for prompting the tenderer to confirm the expert selection suggestion;
the selecting module is further configured to select a required expert from the expert set according to the expert selection suggestion when a feedback for the confirmation prompt reported by the tenderer is detected and the feedback is used for indicating approval of the expert selection suggestion.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the apparatus further includes:
the second judgment module is used for judging whether the current state of the selected target expert meets the determined selection state or not;
the deleting module is used for deleting the selected target expert when the second judging module judges that the selection state is not met;
wherein the selection status comprises one or more of that the selected target expert is not selected by other items, that the selected target expert is not simultaneously involved in the selection of other items, and that the evaluation time of the items does not conflict with the time that the selected target expert has responded to the involved items.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the apparatus further includes:
the password processing module is used for encrypting the information of all the target experts to obtain the encrypted information of all the target experts;
the third judgment module is used for judging whether the interval duration between the evaluation starting moments determined by the real-time moment distance is less than or equal to the determined interval duration threshold value or not after the encrypted information of all the target experts is obtained;
and the password processing module is further configured to, when the third judgment module judges that the time interval duration is less than or equal to the time interval duration threshold, perform decryption operation on the encrypted information of all the target experts to obtain the decrypted information of all the target experts.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the manner in which the cryptographic processing module performs a decryption operation on the encrypted information of all the target experts to obtain the decrypted information of all the target experts is specifically:
detecting a first decryption instruction triggered by a first person according to the encrypted information of all the target experts, wherein the first decryption instruction comprises characters input by the first person;
judging whether the content included in the first decryption instruction is matched with preset decryption content or not, and detecting a second decryption instruction triggered by a second person aiming at the encrypted information of all the target experts when the content included in the first decryption instruction is matched with the preset decryption content, wherein the second decryption instruction comprises characters input by the second person and biological characteristic information of the second person;
and judging whether the content included in the second decryption instruction is matched with the preset decryption content, and decrypting the information of all the target experts when the content included in the second decryption instruction is matched with the preset decryption content to obtain the decrypted information of all the target experts.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, when the expert selection range includes the professional selection range, the professional selection range includes a main selection professional selection range and an alternative professional selection range;
the selection module specifically selects a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation:
selecting all first experts from the determined expert set according to the main selection expert selection range and the determined information of the items needing evaluation, and judging whether the number of the first experts is larger than or equal to a preset number;
and when the number of the candidate experts is less than the preset number, selecting all second experts from the expert set according to the candidate expert selection range and the project information, and determining all the first experts and all the second experts as target experts.
A third aspect of the present invention discloses another expert selection apparatus, 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 expert selection method disclosed by the first aspect of the invention.
A fourth aspect of the present invention discloses a computer-storable medium having stored thereon computer instructions for performing the expert selection method disclosed in the first aspect of the present invention when invoked.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the embodiment of the invention discloses an expert selection method and an expert selection device, wherein the method comprises the following steps: if the current condition meets the determined expert selection condition, determining an expert selection range according to the current condition, wherein the expert selection range comprises a region selection range and/or a professional selection range; selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation, wherein the information of the items comprises the sources and/or types of the items; the expert selection condition comprises one or more of detection of an expert selection request, existence of a purchase scheme of an expert to be selected, and determination of the distance between the expert selection moments at the current moment, wherein the distance between the expert selection moments is less than or equal to the determined distance threshold value. Therefore, by implementing the method and the device, when at least one condition of an expert selection request, the existence of a purchase scheme of an expert to be selected, the set expert selection time and the like is detected, the required expert is automatically selected according to the region selection range and/or the professional selection range and the identification and/or type of the project needing to be evaluated, and the required expert can be quickly and accurately selected, so that the accuracy and the efficiency of the project can be improved, for example: the evaluation accuracy and efficiency of the purchasing scheme are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, 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 an expert selection method disclosed in an embodiment of the present invention;
FIG. 2 is a schematic flow chart of another expert selection method disclosed in the embodiments of the present invention;
FIG. 3 is a schematic structural diagram of an expert selection device according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another embodiment of an expert selection device disclosed herein;
fig. 5 is a schematic flow chart of another expert selection device disclosed in the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and 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 terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses an expert selection method and device, which can automatically select required experts according to a region selection range and/or a professional selection range and the identification and/or type of a project needing to be evaluated when at least one condition of an expert selection request, a purchase scheme of an expert to be selected, set expert selection time and the like is detected, and can quickly and accurately select the required experts, so that the accuracy and the efficiency of the project can be improved, for example: the evaluation accuracy and efficiency of the purchasing scheme are improved. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an expert selection method according to an embodiment of the present invention. The expert selection method described in fig. 1 may be applied to an expert selection device, where the expert selection device includes any one of an expert selection server (a local server or a cloud server), an expert selection system, an expert selection device, and an expert selection platform. As shown in fig. 1, the expert selection method may include the steps of:
101. and if the current condition meets the determined expert selection condition, determining an expert selection range according to the current condition, wherein the expert selection range comprises a region selection range and/or a professional selection range.
In the embodiment of the invention, the expert selection condition comprises one or more of detection of an expert selection request, existence of a purchase scheme of an expert to be selected and determination of the interval duration between the expert selection moments at the current moment distance, wherein the interval duration is less than or equal to the determined interval duration threshold. Therefore, by setting various expert selection conditions, the efficiency and the accuracy of determining the relevant operation needing to execute the selected expert are improved. The determination factor of the interval duration threshold comprises one or more of project size, project importance, project urgency, project principal level and project principal title. Specifically, the larger the size of the project and/or the higher the importance of the project and/or the higher the urgency of the project and/or the higher the ranking of the project leader and/or the higher the title of the project leader, the larger the interval duration threshold. Therefore, the accuracy and reliability of determining the interval duration threshold can be improved by setting various determining factors of the interval duration threshold, so that the accuracy and reliability of determining that the current condition meets the expert selection condition are improved. Furthermore, the expert selection range may further include persons who cannot participate in the project review, where the persons include one or more of persons who have a harmful relationship with the project, persons in a department where a project principal is located, persons who supervise experts, and persons who influence the project review, such as persons of a project purchasing institution when the project is a purchasing project. Therefore, by setting various personnel who cannot participate in the project review, the occurrence of selecting personnel influencing the project notarization review can be reduced, and the accuracy and the reliability of the selection of the required experts are further improved.
In the embodiment of the invention, the expert selection range can further comprise one or more of a grade selection range, a working age selection range, a participating project review frequency range and a gender selection range. Therefore, the more contents included in the expert selection range, the more convenience is brought to the improvement of the accuracy, reliability and efficiency of the selection of the needed experts.
102. And selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation.
In an embodiment of the present invention, the information of the item includes a source and/or a type of the item. The source of the project comprises one or more of a purchasing project, a supplier qualification evaluation project, a supervision business project, a quality control equipment supervision project and the like.
In the embodiment of the invention, optionally, when the expert selection range comprises the professional selection range, the professional selection range comprises a main selection professional selection range and an alternative professional selection range. Optionally, selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation, including:
selecting all first experts from the determined expert set according to the selection range of the main selection experts and the determined information of the items needing evaluation, and judging whether the number of all the first experts is larger than or equal to the preset number;
and when the number of the second experts is judged to be less than the preset number, all the second experts are selected from the expert set according to the information of the candidate professional selection range and the items, and all the first experts and all the second experts are determined to be target experts.
In the embodiment of the invention, optionally, the main selection professional selection range is a range in which the matching degree with the type of the item is greater than or equal to the determined matching degree threshold, and the alternative selection professional selection range is a range in which the matching degree with the type of the item is smaller than the matching degree threshold.
In the embodiment of the invention, optionally, an expert selection template is generated according to the expert selection range and the determined information of the items needing evaluation, and a plurality of target experts are selected from the determined expert set according to the expert selection template. The information of the project comprises the type of the project, the holding place of the project, the importance of the project and the holding date of the project. Therefore, the more information corresponding to the project, the more the accuracy and the reliability of the template selection by the expert can be improved, and the accuracy and the reliability of the selection by the expert can be improved.
It can be seen that, when the method described in fig. 1 is implemented, at least one of a request for selecting an expert, a purchase scheme of an expert to be selected, a set expert selection time, and the like is detected, the required expert is automatically selected according to a region selection range and/or a professional selection range, and an identifier and/or a type of a project to be evaluated, and the required expert can be quickly and accurately selected, so that the accuracy and efficiency of the project can be improved, for example: the evaluation accuracy and efficiency of the purchasing scheme are improved. In addition, the required experts can be selected from the main selection professional selection range and the alternative professional selection range in sequence, so that the selection efficiency of the experts can be further improved while the high-accuracy experts are ensured to be selected.
In an optional embodiment, the method may further comprise the steps of:
when a target expert is selected, an invitation prompt is pushed to the target expert, and the invitation prompt is used for inviting the target expert to participate in project review;
when the selection of all target experts is finished according to the information of the expert selection range and the items, determining an invitation response prompt from all the target experts, wherein the response prompt is used for indicating the number of people receiving the invitation, and judging whether the number of people is less than or equal to the determined number of people threshold;
and when the judgment result is less than or equal to the personnel number threshold value, modifying the expert selection range according to at least one of the determined name of the project, the evaluation time of the project, the holding place of the project, the expert selection deadline of the project, the response rates of all target experts and the job-performing conditions of all target experts responding to the invitation prompt to obtain the modified expert selection range, and selecting the required expert from the expert set according to the modified expert selection range and the information of the project.
In this alternative embodiment, modifications may be understood as one or more of modifications, expansions, and deletions.
Therefore, in the optional embodiment, after the required experts are selected, the invitation prompt is pushed to the required experts, and when the number of the experts answering the invitation prompt is small, the experts are selected further based on various information of the project, the response probability of the invitation prompt and the expert selection range modified by the selected expert's job-providing condition, so that the accuracy and reliability of the expert selected to the required number can be further improved; and the expert selection range is modified through various information, so that the modification accuracy and reliability of the expert selection range can be improved.
In another alternative embodiment, before the required expert is selected from the expert set according to the modified information of the expert selection range and the item, the method may further include the following steps:
judging whether a target purchasing scheme exists or not, and inquiring an expert selection strategy corresponding to the target purchasing scheme when the target purchasing scheme is judged to exist;
judging whether the expert selection strategy is matched with the modified expert selection range, and when the expert selection strategy is matched with the modified expert selection range, executing the operation of selecting the needed expert from the expert set according to the modified expert selection range and the item information;
when the judgment result shows that the two are not matched, generating an expert selection suggestion according to the expert selection strategy and the modified expert selection range, and sending a confirmation prompt to the determined tenderer, wherein the confirmation prompt is used for prompting the tenderer to confirm the expert selection suggestion;
and when feedback aiming at the confirmation prompt reported by the tenderer is detected and is used for indicating that the expert selection suggestion is approved, selecting the required expert from the expert set according to the expert selection suggestion.
Therefore, in the optional embodiment, when the modified expert selection range is judged to be matched with the expert selection strategy of the purchasing scheme, the required expert operation is selected according to the modified expert selection range and the item information continuously, so that the accuracy and the reliability of the operation can be improved; and when the modified expert selection range is judged not to be matched with the expert selection strategy of the purchasing scheme, selecting the required experts further according to expert selection suggestions reported by the tendering personnel and generated according to the expert selection strategy and the modified expert selection range, and further improving the accuracy of selecting the matched and enough experts.
In yet another alternative embodiment, the method may further comprise the steps of:
judging whether the current state of the selected target expert meets the determined selection state or not, and deleting the selected target expert when the current state of the selected target expert does not meet the selection state;
wherein the selection state comprises one or more of that the selected target expert is not selected by other items, that the selected target expert is not simultaneously involved in the selection of other items, and that the bid evaluation time of the items is not in conflict with the time when the selected target expert has responded to the involved items.
It should be noted that the target expert in step 102 is an expert who satisfies the selected state.
Therefore, in the optional embodiment, after the required expert is preliminarily selected, the expert is further deleted when the situation that the expert is not selected by other items, is participating in the selection of other items at the same time, and conflicts exist between the bid evaluation time of the item and the time of the expert responding to the participating items are judged, so that the selection accuracy and reliability of the expert can be improved, and the situation that the items cannot be normally carried out due to the fact that the expert may not participate in the evaluation on time can be reduced.
In yet another alternative embodiment, the method may further comprise the steps of:
after step 102 is completed, determining information of each target expert and information of a project, wherein the information of each target expert includes, but is not limited to, a category (deep, medium and common), a place, a research field and a historical frequency of invited of the target expert, and the information of the project includes, but is not limited to, a place of holding the project, a weather forecast of the day of holding the project, a scale of the project and a field of the project;
estimating the number of experts participating in the project according to the information of each target expert and the information of the project among all the target experts, and judging whether the number of the experts is larger than or equal to a first preset expert number threshold value;
and when the judgment result is yes, deleting corresponding target experts from all target experts in sequence from low to high according to the experts of which the types are common types, the matching degree of the research field and the field to which the project belongs is less than or equal to a preset matching degree threshold value and the historical invitation frequency until the number of the remaining target experts is less than or equal to a second preset expert number threshold value, and taking all the remaining target experts as the required target experts.
In this optional embodiment, a difference between the first preset expert number threshold and the second preset expert number threshold is greater than or equal to a third preset expert number threshold.
Therefore, when the number of the experts is large, the optional embodiment further deletes the common experts, the experts which are not highly matched with the field of the project and possibly do not participate in the project, so that the situation that the experts which are not capable of participating in the project on time and are not highly matched with the project are selected can be reduced, the selection accuracy and reliability of the experts are further improved, and the accuracy and reliability of executing subsequent operations are improved.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating another expert selection method according to an embodiment of the present invention. The expert selection method described in fig. 2 may be applied to an expert selection device, where the expert selection device includes any one of an expert selection server (a local server or a cloud server), an expert selection system, an expert selection device, and an expert selection platform. As shown in fig. 2, the expert selection method may include the steps of:
201. and if the current condition meets the determined expert selection condition, determining an expert selection range according to the current condition, wherein the expert selection range comprises a region selection range and/or a professional selection range.
202. And selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation.
In the embodiment of the present invention, please refer to the related detailed description of step 101 and step 102 in the first embodiment for other descriptions of step 201 and step 202, which is not repeated herein.
203. And encrypting the information of all target experts to obtain the encrypted information of all target experts.
204. After the encrypted information of all target experts is obtained, judging whether the interval duration between the evaluation starting moments determined by the real-time moment distance is smaller than or equal to the determined interval duration threshold value or not; when the time length is judged to be less than or equal to the interval time length threshold, step 205 may be triggered to be executed; when the time interval is greater than the time interval threshold, the process may continue to step 204.
205. And executing decryption operation on the encrypted information of all the target experts to obtain the decrypted information of all the target experts.
In this alternative embodiment, the decrypted information of all target experts includes one or more of identification information of the project (e.g., project name, project code, etc.), comment code of the target expert, name of the target expert, mobile phone number of the target expert, department responsible for holding the project, professional category of the target expert, participation status of the target expert, political aspect of the target expert, and rank (e.g., senior, medium, or normal) of the target expert. Wherein the participation state of the target expert comprises participation or non-participation or pending.
It can be seen that, by implementing the expert selection method described in fig. 2, when at least one of an expert selection request, a purchase scheme of an expert to be selected, a set expert selection time, and the like is detected, a required expert can be automatically selected according to a region selection range and/or a professional selection range, and an identifier and/or a type of a project to be evaluated, and the required expert can be quickly and accurately selected, so that the accuracy and efficiency of the project can be improved, for example: the evaluation accuracy and efficiency of the purchasing scheme are improved. In addition, the selected expert information can be encrypted, the safety of the expert information can be improved, the occurrence situation that the expert information is tampered can be reduced, the expert information is decrypted when the real-time moment is close to the bid evaluation starting moment, the accurate expert can be guaranteed to evaluate the bid of the project, and the accuracy, the reliability and the efficiency of bid evaluation of the project can be improved.
In an optional embodiment, the performing a decryption operation on the encrypted information of all target experts to obtain decrypted information of all target experts includes:
detecting a first decryption instruction triggered by a first person according to the encrypted information of all target experts, wherein the first decryption instruction comprises characters input by the first person;
judging whether the content included in the first decryption instruction is matched with preset decryption content or not, and detecting a second decryption instruction triggered by a second person aiming at the encrypted information of all target experts when the content included in the first decryption instruction is matched with the preset decryption content, wherein the second decryption instruction comprises characters input by the second person and biological feature information of the second person;
and judging whether the content included in the second decryption instruction is matched with the preset decryption content, and decrypting the information of all the target experts when the content included in the second decryption instruction is matched with the preset decryption content to obtain the decrypted information of all the target experts.
Therefore, in the optional embodiment, the decryption instructions triggered by different personnel are sequentially checked, and when the decryption instructions triggered by all the personnel pass, the expert information is decrypted, so that the occurrence of decryption of the expert information by unauthorized personnel can be reduced, the accuracy and reliability of executing the operation of decrypting the expert information are improved, and the accuracy and reliability of evaluating the bid of the subsequent project are improved.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of an expert selection device according to an embodiment of the present invention. The expert selection device described in fig. 3 includes any one of an expert selection server (a local server or a cloud server), an expert selection system, an expert selection device, and an expert selection platform. As shown in fig. 3, the expert selecting means may include:
the determining module 301 is configured to determine an expert selection range according to the current condition if the current condition meets the determined expert selection condition, where the expert selection range includes a region selection range and/or a professional selection range.
And the selecting module 302 is configured to select a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation.
The expert selection condition comprises one or more of detection of an expert selection request, existence of a purchase scheme of an expert to be selected, and determination of the distance between the expert selection moments at the current moment, wherein the distance between the expert selection moments is less than or equal to the determined distance threshold value.
In the embodiment of the invention, optionally, when the expert selection range comprises the professional selection range, the professional selection range comprises a main selection professional selection range and an alternative professional selection range; optionally, the selecting module 302 specifically selects a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items to be evaluated, by:
selecting all first experts from the determined expert set according to the selection range of the main selection experts and the determined information of the items needing evaluation, and judging whether the number of all the first experts is larger than or equal to the preset number;
and when the number of the second experts is judged to be less than the preset number, all the second experts are selected from the expert set according to the information of the candidate professional selection range and the items, and all the first experts and all the second experts are determined to be target experts.
It can be seen that, by implementing the expert selection device described in fig. 3, when at least one of an expert selection request, a purchase scheme of an expert to be selected, a set expert selection time, and the like is detected, a required expert can be automatically selected according to a region selection range and/or a professional selection range, and an identifier and/or a type of a project to be evaluated, and the required expert can be quickly and accurately selected, so that the accuracy and efficiency of the project can be improved, for example: the evaluation accuracy and efficiency of the purchasing scheme are improved. In addition, the required experts can be selected from the main selection professional selection range and the alternative professional selection range in sequence, so that the selection efficiency of the experts can be further improved while the high-accuracy experts are ensured to be selected.
In an alternative embodiment, as shown in fig. 4, the apparatus may further include:
and the pushing module 303 is configured to push an invitation prompt to the target expert whenever the target expert is selected, where the invitation prompt is used to invite the target expert to participate in the project review.
The determining module 301 is further configured to determine an invitation response prompt from all target experts when the selection of all target experts is completed according to the information of the expert selection range and the item, and the response is used for indicating the number of people receiving the invitation.
A first determining module 304, configured to determine whether the number of people is less than or equal to the determined number of people threshold.
A modifying module 305, configured to modify, when the first determining module 304 determines that the number of people is less than or equal to the threshold, the expert selection range according to at least one of the determined name of the project, the bid evaluation time of the project, the holding location of the project, the expert selection deadline of the project, the response rates of all the target experts, and the job performance of all the target experts prompted by the response invitation, to obtain a modified expert selection range.
The selecting module 302 is further configured to select a required expert from the expert set according to the modified expert selection range and item information.
It can be seen that, the expert selection device described in fig. 4 can push invitation prompts to the required experts after the required experts are selected, and further select experts based on various information of items, response probability of the invitation prompts and expert selection range modified by the selected expert's job-following condition when the number of experts responding to the invitation prompts is small, so that accuracy and reliability of selecting the required number of experts can be further improved; and the expert selection range is modified through various information, so that the modification accuracy and reliability of the expert selection range can be improved.
In another alternative embodiment, the first determining module 304 is further configured to determine whether the target purchasing scenario exists before the selecting module 302 selects the required expert from the expert collection according to the modified information of the expert selection range and item.
As shown in fig. 4, the apparatus may further include:
the query module 306 is configured to query an expert selection policy corresponding to the target purchasing scheme when the first determining module 304 determines that the target purchasing scheme exists.
The first determining module 304 is further configured to determine whether the expert selection policy matches the modified expert selection range, and when the expert selection policy matches the modified expert selection range, the selecting module 302 is triggered to perform the above-mentioned operation of selecting a required expert from the expert set according to the modified expert selection range and the item information;
the generating module 307 is configured to generate an expert selection suggestion according to the expert selection policy and the modified expert selection range when the first determining module 304 determines that the expert selection policy and the modified expert selection range are not matched.
The pushing module 303 is further configured to send a confirmation prompt to the determined tenderer, where the confirmation prompt is used to prompt the tenderer to confirm the expert selection suggestion.
The selecting module 302 is further configured to select a required expert from the expert set according to the expert selection suggestion when the feedback for the confirmation prompt reported by the tenderer is detected and the feedback is used for indicating approval of the expert selection suggestion.
It can be seen that, by implementing the expert selection device described in fig. 4, when it is determined that the modified expert selection range matches the expert selection policy of the purchase scheme, the expert selection device can continue to perform subsequent operations of selecting required experts according to the modified expert selection range and item information, and can improve the accuracy and reliability of performing the operations; and when the modified expert selection range is judged not to be matched with the expert selection strategy of the purchasing scheme, selecting the required experts further according to expert selection suggestions reported by the tendering personnel and generated according to the expert selection strategy and the modified expert selection range, and further improving the accuracy of selecting the matched and enough experts.
In yet another alternative embodiment, as shown in fig. 4, the apparatus may further include:
and the second judging module 308 is configured to judge whether the current state of the selected target expert meets the determined selection state.
And the deleting module 309, configured to delete the selected target expert when the second determining module 308 determines that the selection state is not satisfied.
Wherein the selection state comprises one or more of that the selected target expert is not selected by other items, that the selected target expert is not simultaneously involved in the selection of other items, and that the bid evaluation time of the items is not in conflict with the time when the selected target expert has responded to the involved items.
In this optional embodiment, optionally, after the above operations are performed by the selecting module 302, the second judging module 308 may be triggered to perform the above operations of judging whether the current state of the selected target expert meets the determined selected state.
It can be seen that, by implementing the expert selection device described in fig. 4, after the required expert is preliminarily selected, the expert can be further deleted when it is determined that the expert is not selected by other items, is participating in the selection of other items at the same time, and the evaluation time of the item conflicts with the time of the expert responding to the participating item, so that the accuracy and reliability of the selection of the expert can be improved, and the occurrence of the situation that the item cannot be normally performed due to the fact that the expert may not participate in the evaluation on time can be reduced.
In yet another alternative embodiment, as shown in fig. 4, the apparatus may further include:
and the cryptographic processing module 310 is configured to encrypt the information of all target experts to obtain the encrypted information of all target experts.
And the third judging module 311 is configured to, after obtaining the encrypted information of all the target experts, judge whether the interval duration between the bid evaluation starting times determined by the real-time distance is less than or equal to the determined interval duration threshold.
The cryptographic processing module 310 is further configured to, when the third determining module 311 determines that the time interval is less than or equal to the time interval threshold, perform a decryption operation on the encrypted information of all target experts, to obtain decrypted information of all target experts.
In this optional embodiment, optionally, after the above operations are performed by the selecting module 302, the cryptographic processing module 310 may be triggered to perform the above operations of encrypting the information of all target experts to obtain the encrypted information of all target experts.
Therefore, the expert selection device described in fig. 4 can encrypt the information of the selected expert, improve the safety of the expert information, reduce the occurrence of tampering of the expert information, decrypt the expert information when the real-time is close to the bid evaluation starting time, ensure that the expert can accurately evaluate the bid of the project, and be beneficial to improving the accuracy, reliability and efficiency of the bid evaluation of the project.
In another optional embodiment, the cryptographic processing module 310 performs a decryption operation on the encrypted information of all target experts, and a manner of obtaining the decrypted information of all target experts is specifically as follows:
detecting a first decryption instruction triggered by a first person according to the encrypted information of all target experts, wherein the first decryption instruction comprises characters input by the first person;
judging whether the content included in the first decryption instruction is matched with preset decryption content or not, and detecting a second decryption instruction triggered by a second person aiming at the encrypted information of all target experts when the content included in the first decryption instruction is matched with the preset decryption content, wherein the second decryption instruction comprises characters input by the second person and biological feature information of the second person;
and judging whether the content included in the second decryption instruction is matched with the preset decryption content, and decrypting the information of all the target experts when the content included in the second decryption instruction is matched with the preset decryption content to obtain the decrypted information of all the target experts.
Therefore, the expert selection device described in fig. 4 can also be implemented to sequentially verify the decryption instructions triggered by different personnel, decrypt the expert information when the decryption instructions triggered by all the personnel pass through, and reduce the occurrence of decryption of the expert information by unauthorized personnel, so that the accuracy and reliability of executing the operation of decrypting the expert information are improved, and the accuracy and reliability of the evaluation of the subsequent items are improved.
Example four
Referring to fig. 5, fig. 5 is a diagram illustrating another expert selection apparatus according to an embodiment of the present invention. As shown in fig. 5, the expert selection apparatus may include any one of an expert selection server (a local server or a cloud server), an expert selection system, an expert selection device, and an expert selection platform, and the expert selection apparatus includes:
a memory 501 in which executable program code is stored;
a processor 502 coupled to a memory 501;
the processor 502 calls the executable program code stored in the memory 501 for performing the operation of the expert selection method described in the first embodiment or the second embodiment.
EXAMPLE five
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the operation of the expert selection method described in the first embodiment or the second embodiment.
EXAMPLE six
An embodiment of the invention discloses a computer program product comprising a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the operations of the expert selection method described in the first or second embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, where the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM), or other disk memories, CD-ROMs, or other magnetic disks, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
Finally, it should be noted that: the expert selecting method and device disclosed in the embodiments of the present invention are only disclosed as preferred embodiments of the present invention, which are only used for illustrating the technical solutions of the present invention, but not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An expert selection method, comprising:
if the current condition meets the determined expert selection condition, determining an expert selection range according to the current condition, wherein the expert selection range comprises a region selection range and/or a professional selection range;
selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation, wherein the information of the items comprises the sources and/or types of the items;
the expert selection condition comprises one or more of detection of an expert selection request, existence of a purchase scheme of an expert to be selected, and determination of the distance between the expert selection moments at the current moment, wherein the distance between the expert selection moments is less than or equal to the determined distance threshold value.
2. The expert selection method of claim 1 further comprising:
when the target expert is selected, an invitation prompt is pushed to the target expert, and the invitation prompt is used for inviting the target expert to participate in project review;
when the selection of all the target experts is completed according to the expert selection range and the information of the project, determining to respond to the invitation prompt and the response is used for indicating the number of the persons receiving the invitation from all the target experts, and judging whether the number of the persons is less than or equal to the determined number of the persons threshold;
and when the number of the persons is judged to be less than or equal to the personnel number threshold value, modifying the expert selection range according to at least one of the determined name of the project, the evaluation time of the project, the holding place of the project, the expert selection deadline of the project, the response rates of all the target experts and the job-performing conditions of all the target experts responding to the invitation prompt, obtaining the modified expert selection range, and selecting the required experts from the expert set according to the modified expert selection range and the information of the project.
3. The expert selection method of claim 2 wherein before the selecting the desired expert from the set of experts based on the modified expert selection scope and the item information, the method further comprises:
judging whether a target purchasing scheme exists or not, and inquiring an expert selection strategy corresponding to the target purchasing scheme when the target purchasing scheme is judged to exist;
judging whether the expert selection strategy is matched with the modified expert selection range, and when the expert selection strategy is matched with the modified expert selection range, executing the operation of selecting the needed expert from the expert set according to the modified expert selection range and the item information;
when the judgment result shows that the expert selection strategies are not matched with the modified expert selection range, generating an expert selection suggestion, and sending a confirmation prompt to the determined tenderer, wherein the confirmation prompt is used for prompting the tenderer to confirm the expert selection suggestion;
and when feedback aiming at the confirmation prompt reported by the tenderer is detected and is used for indicating approval of the expert selection suggestion, selecting the required expert from the expert set according to the expert selection suggestion.
4. The expert selection method of any one of claims 1 to 3 wherein the method further comprises:
judging whether the current state of the selected target expert meets the determined selection state or not, and deleting the selected target expert when the current state of the selected target expert does not meet the selection state;
wherein the selection status comprises one or more of that the selected target expert is not selected by other items, that the selected target expert is not simultaneously involved in the selection of other items, and that the evaluation time of the items does not conflict with the time that the selected target expert has responded to the involved items.
5. The expert selection method of any one of claims 1 to 3 wherein the method further comprises:
encrypting the information of all the target experts to obtain the encrypted information of all the target experts;
after the encrypted information of all the target experts is obtained, judging whether the interval duration between the evaluation starting moments determined by the real-time moment distance is smaller than or equal to the determined interval duration threshold value or not;
and when the judgment result shows that the time interval is less than or equal to the time interval threshold, executing decryption operation on the encrypted information of all the target experts to obtain the decrypted information of all the target experts.
6. The expert selection method of claim 5 wherein the performing a decryption operation on the encrypted information of all the target experts to obtain decrypted information of all the target experts comprises:
detecting a first decryption instruction triggered by a first person according to the encrypted information of all the target experts, wherein the first decryption instruction comprises characters input by the first person;
judging whether the content included in the first decryption instruction is matched with preset decryption content or not, and detecting a second decryption instruction triggered by a second person aiming at the encrypted information of all the target experts when the content included in the first decryption instruction is matched with the preset decryption content, wherein the second decryption instruction comprises characters input by the second person and biological characteristic information of the second person;
and judging whether the content included in the second decryption instruction is matched with the preset decryption content, and decrypting the information of all the target experts when the content included in the second decryption instruction is matched with the preset decryption content to obtain the decrypted information of all the target experts.
7. The expert selection method of claim 1, 2, 3 or 5 wherein when the expert selection range includes the professional selection range, the professional selection range includes a main selection professional selection range and an alternative professional selection range;
the selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation, and the selecting method comprises the following steps:
selecting all first experts from the determined expert set according to the main selection expert selection range and the determined information of the items needing evaluation, and judging whether the number of the first experts is larger than or equal to a preset number;
and when the number of the candidate experts is less than the preset number, selecting all second experts from the expert set according to the candidate expert selection range and the project information, and determining all the first experts and all the second experts as target experts.
8. An expert selection device, the device comprising:
the determining module is used for determining an expert selection range according to the current condition if the current condition meets the determined expert selection condition, wherein the expert selection range comprises a region selection range and/or a professional selection range;
the selection module is used for selecting a plurality of target experts from the determined expert set according to the expert selection range and the determined information of the items needing evaluation, wherein the information of the items comprises the sources and/or types of the items;
the expert selection condition comprises one or more of detection of an expert selection request, existence of a purchase scheme of an expert to be selected, and determination of the distance between the expert selection moments at the current moment, wherein the distance between the expert selection moments is less than or equal to the determined distance threshold value.
9. An expert selection device, the 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 execute the expert selection method of any one of claims 1-7.
10. A computer storage medium storing computer instructions which, when invoked, perform the expert selection method of any one of claims 1 to 7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114500756A (en) * | 2022-04-18 | 2022-05-13 | 湖南畅迅信息技术有限公司 | Call center data processing method and system |
| CN115062694A (en) * | 2022-06-07 | 2022-09-16 | 南方电网深圳数字电网研究院有限公司 | Quantitative analysis system and method for professional matching degree of bid evaluation expert |
| CN116342074A (en) * | 2023-05-29 | 2023-06-27 | 鼎信数智技术集团股份有限公司 | Engineering project consultation expert base talent matching service system |
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2021
- 2021-10-15 CN CN202111201108.3A patent/CN114118681A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114500756A (en) * | 2022-04-18 | 2022-05-13 | 湖南畅迅信息技术有限公司 | Call center data processing method and system |
| CN114500756B (en) * | 2022-04-18 | 2022-06-17 | 湖南畅迅信息技术有限公司 | Call center data processing method and system |
| CN115062694A (en) * | 2022-06-07 | 2022-09-16 | 南方电网深圳数字电网研究院有限公司 | Quantitative analysis system and method for professional matching degree of bid evaluation expert |
| CN116342074A (en) * | 2023-05-29 | 2023-06-27 | 鼎信数智技术集团股份有限公司 | Engineering project consultation expert base talent matching service system |
| CN116342074B (en) * | 2023-05-29 | 2023-08-15 | 鼎信数智技术集团股份有限公司 | Engineering project consultation expert base talent matching service system |
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