CN110457393B - Information sharing method and related product - Google Patents
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Abstract
The embodiment of the application discloses an information sharing method and a related product, which are applied to a server, wherein the method comprises the following steps: receiving sharing information of a target object; analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information; uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters; and sending the sharing information to the target candidates in the target candidate set. The embodiment of the application is beneficial to realizing targeted information sharing and improving the user experience.
Description
Technical Field
The application relates to the technical field of electronic equipment, in particular to an information sharing method and related products.
Background
With the rapid development and popularization of internet technology, the application of the internet in life is becoming wider and wider, and nowadays, more enterprises choose to manage personnel through a network.
When an enterprise is in different development stages, the enterprise is usually required to be adjusted by executing the optimization operation, but information sharing of optimization personnel cannot be realized in the process of executing the optimization operation at present, and the user experience is not high.
Disclosure of Invention
The embodiment of the application provides an information sharing method and related products, which are expected to realize information sharing while executing personnel optimizing operation and improve user experience.
In a first aspect, an embodiment of the present application provides an information sharing method, applied to a server, where the method includes:
receiving sharing information of a target object;
analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information;
uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters;
and sending the sharing information to the target candidates in the target candidate set.
Optionally, the determining the target candidate set according to the plurality of demand features and the feature parameters includes: calculating a plurality of feature matching degrees of the plurality of demand features and the feature parameters; acquiring at least one feature matching degree which is larger than a preset matching degree threshold value in the feature matching degrees; and acquiring at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate.
Optionally, after the generating the target candidate set according to the at least one target candidate, the method further includes: performing an identity verification operation on each of the at least one target candidate; acquiring target candidates passing the identity verification in the at least one target candidate to generate update parameters; and updating the target candidate set according to the updating parameters.
Optionally, the authentication operation includes an enterprise number authentication operation, a biometric authentication, a gesture authentication, and a verification code authentication.
Optionally, the characteristic parameters include a working period of the target object, a professional field of the target object, and a working score of the target object.
Optionally, after the sending the sharing information to the target candidates in the target candidate set, the method further includes: acquiring a current work record and a work evaluation of the target object; and sending the current work record and the work evaluation to target candidates in the target candidate set.
Optionally, the uploading the feature parameter to a preset database includes: receiving an uploading application, and acquiring the characteristic parameters from the uploading application; determining a target storage area in the preset database according to the uploading application; and uploading the characteristic parameters to the target storage area.
In a second aspect, an embodiment of the present application provides an information sharing apparatus, applied to a server, including:
a receiving unit for receiving sharing information of a target object;
the analysis unit is used for analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information;
the determining unit is used for uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters;
and the execution unit is used for sending the sharing information to the target candidates in the target candidate set.
Optionally, the determining unit is specifically configured to determine the target candidate set according to the plurality of demand features and the feature parameters: calculating a plurality of feature matching degrees of the plurality of demand features and the feature parameters; acquiring at least one feature matching degree which is larger than a preset matching degree threshold value in the feature matching degrees; and acquiring at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate.
Optionally, after the generating the target candidate set according to the at least one target candidate, the determining unit is further configured to: performing an identity verification operation on each of the at least one target candidate; acquiring target candidates passing the identity verification in the at least one target candidate to generate update parameters; and updating the target candidate set according to the updating parameters.
Optionally, the authentication operation includes an enterprise number authentication operation, a biometric authentication, a gesture authentication, and a verification code authentication.
Optionally, the characteristic parameters include a working period of the target object, a professional field of the target object, and a working score of the target object.
Optionally, after the sending the sharing information to the target candidate in the target candidate set, the executing unit is further configured to: acquiring a current work record and a work evaluation of the target object; and sending the current work record and the work evaluation to target candidates in the target candidate set.
Optionally, the uploading the characteristic parameter to a preset database, and the determining unit is further configured to: receiving an uploading application, and acquiring the characteristic parameters from the uploading application; determining a target storage area in the preset database according to the uploading application; and uploading the characteristic parameters to the target storage area.
In a third aspect, an embodiment of the present application provides a server, including a processor, a memory, a communication device, and one or more programs, where the processor, the memory, and the communication device are connected to each other, and the communication device is configured to interact with external devices, and the one or more programs are stored in the memory and configured to be executed by the processor, where the programs include instructions for executing steps in any of the methods in the first aspect of the embodiments of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to perform some or all of the steps described in the method according to the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program, the computer program being operable to cause a computer to perform some or all of the steps described in the method according to the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the present application, the server receives the sharing information of the target object; analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information; uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters; and sending the sharing information to the target candidates in the target candidate set. Therefore, resource and information sharing can be realized while personnel are optimized, targeted information sharing can be realized, and user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an information sharing method according to an embodiment of the present application;
FIG. 2 is a flow chart of another information sharing method according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating another information sharing method according to an embodiment of the present application;
FIG. 4 is a flowchart of another information sharing method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application;
fig. 6 is a block diagram showing functional units of an information sharing apparatus according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. 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 terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The electronic devices may include various handheld devices, vehicle mounted devices, wearable devices (e.g., smart watches, smart bracelets, pedometers, etc.), computing devices or other processing devices connected to wireless modems, as well as various forms of User Equipment (UE), mobile Stations (MSs), terminal devices (terminal devices), etc. with wireless communication capabilities. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.
Embodiments of the present application are described in detail below.
Referring to fig. 1, fig. 1 is a flow chart of an information sharing method according to an embodiment of the present application, which is applied to a server, and the information sharing method includes:
step 101, receiving sharing information of a target object;
wherein, the sharing information may include: basic information of the target, a working period of the target object, a working performance of the target object, a professional ability evaluation of the target object, a sharing reason of the target object, and the like are not limited herein.
And 102, analyzing and processing the shared information to obtain the characteristic parameters corresponding to the shared information.
Optionally, the shared information is used as input of a preset feature extraction model to obtain feature parameters corresponding to the shared information
Step 103, uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters.
The database may be a preset database of the server, or may be a database corresponding to the distributed network, which is not limited herein.
Wherein, the database corresponding to the distributed network may include: the blockchain database is not limited herein, and if the characteristic parameter is uploaded to the database corresponding to the distributed network, the uploading operation includes: and receiving the characteristic parameters uploaded by the operation terminal, and receiving a confirmation uploading instruction of the operation terminal, wherein the confirmation uploading instruction is used for confirming uploading the characteristic parameters to the block chain and uploading the characteristic parameters to the network nodes in the block chain.
If the characteristic parameter is uploaded to a preset database of the server, the write operation includes: and receiving the characteristic parameters uploaded by the operation terminal and a submitting request, approving the submitting request, determining a database address stored by the characteristic parameters from the submitting request, and uploading the characteristic parameters to a database storage area corresponding to the database address.
Further, after uploading the characteristic parameter, if the characteristic parameter is uploaded to a database corresponding to the distributed network, the characteristic parameter is written into the database corresponding to the distributed network, and the target information index is broadcast to each network node in the distributed network; if the characteristic parameters are uploaded to a preset database, the characteristic parameters are written into the preset database of the server, and simultaneously, a prompt is sent to each terminal address in a terminal address set associated with the preset database of the server.
Step 104, the sharing information is sent to the target candidates in the target candidate set.
In one possible example, the determining the target candidate set according to the plurality of demand features and the feature parameters includes: calculating a plurality of feature matching degrees of the plurality of demand features and the feature parameters; acquiring at least one feature matching degree which is larger than a preset matching degree threshold value in the feature matching degrees; and acquiring at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate.
Optionally, before determining the target candidate set according to the plurality of demand features and the feature parameters, the method further includes: receiving a plurality of reference requests, performing a reference verification operation on each of the plurality of reference requests, the reference verification operation comprising: acquiring an operation terminal address corresponding to a reference request, acquiring a preset terminal address set, judging whether the terminal address set contains the operation terminal address, if the terminal address set contains the operation terminal address, determining that the operation terminal address is in an effective state, and acquiring a demand characteristic contained in the reference request; if the terminal address set does not contain the operation terminal address, determining that the operation terminal address is in an invalid state, and rejecting the reference request of the operation terminal address.
Optionally, calculating the plurality of feature matching degrees between the plurality of demand features and the feature parameter specifically includes: acquiring an ith demand feature, and determining n demand sub-features contained in the ith demand feature, wherein i is an integer greater than 0, and n is an integer greater than 1; according to n matching weights corresponding to the n demand sub-features, determining n feature sub-parameters corresponding to the n demand sub-features in the feature parameters according to the n demand sub-features, calculating n feature sub-matching degrees of the n demand sub-features and the n feature sub-parameters, and weighting the n feature sub-matching degrees according to the n matching weights to obtain feature matching degrees of the demand features and the feature parameters, wherein i=i+1 is enabled until all feature matching degrees corresponding to the plurality of demand features are calculated.
Wherein the n matching weights are not identical.
In a possible example, after the generating the target candidate set according to the at least one target candidate, the method further includes: performing an identity verification operation on each of the at least one target candidate; acquiring target candidates passing the identity verification in the at least one target candidate to generate update parameters; and updating the target candidate set according to the updating parameters.
Wherein the performing an authentication operation on each of the at least one target candidate comprises: acquiring at least one pending server corresponding to the at least one target candidate, sending an authentication request to the at least one pending server, and receiving at least one authentication data returned by the at least one pending server; and matching the at least one identity verification data with at least one template data corresponding to the at least one target candidate to obtain at least one identity matching value.
Further, obtaining the target candidate with the identity verification passing in the at least one target candidate to generate an update parameter comprises: and determining at least one identity matching value which is larger than a preset identity matching value threshold in the at least one identity matching value, determining that a target candidate corresponding to the at least one identity matching value is a target candidate passing the identity verification, and determining the updating parameter according to the at least one identity matching value.
Wherein the at least one template data is template data pre-stored by the at least one target candidate.
In one possible example, the authentication operations include an enterprise number authentication operation, biometric authentication, gesture authentication, and verification code authentication.
Wherein the biometric verification includes, but is not limited to: face recognition verification, fingerprint recognition verification, voiceprint recognition verification, vein recognition verification, and the like.
If the authentication request is a face recognition authentication request, the at least one authentication data are face data, and the preset template is at least one preset face template data; if the authentication request is a fingerprint authentication request, the at least one authentication data is fingerprint data, and the preset template is at least one preset fingerprint template data; if the authentication request is a voiceprint recognition authentication request, the at least one authentication data are voiceprint data, and the preset template is at least one preset voiceprint template data; if the authentication request is a vein recognition authentication request, the at least one authentication data is vein data, and the preset template is at least one preset vein template data.
In one possible example, the characteristic parameters include a working age of the target object, a professional field of the target object, and a working score of the target object.
The working period may be a specific value or a range of values, which is not limited herein.
Wherein, the characteristic parameters of the target object may further include: performance data of the target object, etc., are not limited herein.
Wherein the calculation of the job score may include: acquiring historical work content and historical violation records in a historical work record of the target object, wherein the historical work content comprises: m processing results corresponding to the M work items, wherein M is an integer greater than 0; determining M item scores corresponding to the M work items and M completion degrees corresponding to the M processing results; determining a first work score according to the M item scores and the M completion degrees; and determining a second work score according to the history violation record, and calculating the first work score and the second work score to determine the work score.
Wherein, the completion degree may include: common, general, perfect, etc., are not limited herein.
Wherein, the M work matters are corresponding to the M matters scores one by one, and the M processing results are corresponding to the M completion degrees one by one.
Wherein the event scoring may include: the difficulty level corresponding to the work item, the workload quantization value corresponding to the work item, and the like are not limited herein.
Wherein determining the first job score according to the M event scores and the M completion degrees may include: determining M item weights corresponding to the M item weights according to a preset mapping relation between the completion degrees and the item weights, and carrying out weighted calculation on the M item scores according to the M item weights to obtain the first work score.
Wherein determining the second job score from the history violation record may include: obtaining K violations corresponding to K violations included in the history violation record, wherein K is an integer greater than 0; determining K violation scores corresponding to the K violation matters according to a preset mapping relation between the violation matters and the violation scores; determining K weights corresponding to the K violation degrees according to a preset mapping relation between the violation degrees and the weights; and determining the second work score according to the K violation scores and the K weights.
Wherein the violation may include: late arrival, early withdrawal, absence of work, etc., are not limited herein.
Wherein the mapping relationship between the violation event and the violation score may include:
| illegal matters | Score of violation |
| Late arrival | -5 |
| Early withdrawal | -5 |
| Work eliminating device | -20 |
And are not limited thereto.
Optionally, before determining the work score of the target object according to the historical work record, the method further includes: acquiring personal data of the target object, and determining the current health state of the target object from the personal data; judging whether a preset special state set contains the current health state or not, and stopping executing the work scoring operation for determining the target object according to the historical work record if the special state set contains the current health state.
Wherein the special state set may include: pregnancy, birth, severe illness, etc., are not limited herein.
In a possible example, after the sending the sharing information to the target candidate in the target candidate set, the method further includes: acquiring a current work record and a work evaluation of the target object; and sending the current work record and the work evaluation to target candidates in the target candidate set.
The current work record may include a work record of the target object within a preset time range.
The job evaluation may be a job evaluation uploaded by the enterprise corresponding to the target object, or may be a job evaluation generated according to a job record of the target object, which is not limited herein.
In a possible example, the uploading the feature parameter to a preset database includes: receiving an uploading application, and acquiring the characteristic parameters from the uploading application; determining a target storage area in the preset database according to the uploading application; and uploading the characteristic parameters to the target storage area.
The determining the target storage area of the preset database according to the uploading application includes: and acquiring storage address information in the uploading application, and determining an area corresponding to the storage address information as the target storage area in the database.
It can be seen that, in the embodiment of the present application, the server receives the sharing information of the target object; analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information; uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters; and sending the sharing information to the target candidates in the target candidate set. Therefore, resource and information sharing can be realized while personnel are optimized, targeted information sharing can be realized, and user experience is improved.
Referring to fig. 2, fig. 2 is a flow chart of another information sharing method provided in an embodiment of the present application, which is applied to a server, and the information sharing method includes:
step 201, receiving sharing information of a target object;
step 202, analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information;
step 203, uploading the characteristic parameters to a preset database, and receiving a plurality of requirement parameters;
step 204, calculating a plurality of feature matching degrees of the plurality of demand features and the feature parameters;
step 205, obtaining at least one feature matching degree greater than a preset matching degree threshold value in the feature matching degrees;
step 206, obtaining at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate;
step 207, sending the sharing information to the target candidates in the target candidate set.
The specific description of the steps 201 to 207 may refer to the corresponding steps of the information sharing method described in fig. 1, and will not be repeated herein.
It can be seen that, in the embodiment of the present application, the server receives the sharing information of the target object; analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information; uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and calculating a plurality of characteristic matching degrees of the plurality of requirement characteristics and the characteristic parameters; acquiring at least one feature matching degree which is larger than a preset matching degree threshold value in the feature matching degrees; acquiring at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate; and sending the sharing information to the target candidates in the target candidate set. Therefore, by implementing the embodiment of the application, the target candidate can be determined by matching the demand characteristics with the characteristic parameters, thereby realizing targeted sharing of information and being beneficial to improving the user experience.
Referring to fig. 3, fig. 3 is a flow chart of another information sharing method provided in an embodiment of the application, which is applied to a server, and the information sharing method includes:
step 301, receiving sharing information of a target object;
step 302, analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information;
step 303, uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters;
step 304, performing an identity verification operation on each of the at least one target candidate;
step 305, obtaining a target candidate passing the identity verification in the at least one target candidate to generate an update parameter;
step 306, updating the target candidate set according to the updating parameters;
step 307, sending the sharing information to the target candidates in the target candidate set.
The specific description of the steps 305 to 307 may refer to the corresponding steps of the information sharing method described in fig. 1, and will not be repeated herein.
It can be seen that, in the embodiment of the present application, the server receives the sharing information of the target object; analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information; uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters; performing an identity verification operation on each of the at least one target candidate; acquiring target candidates passing the identity verification in the at least one target candidate to generate update parameters; updating the target candidate set according to the updating parameters; and sending the sharing information to the target candidates in the target candidate set. Therefore, by implementing the embodiment of the application, the target candidate can be determined by carrying out identity verification on the candidate, so that the safety of information sharing is improved, the targeted sharing of information is realized, and the user experience is improved.
Referring to fig. 4, fig. 4 is a flow chart of another information sharing method provided in an embodiment of the present application, which is applied to a server, and the information sharing method includes:
step 401, receiving sharing information of a target object;
step 402, analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information;
step 403, uploading the characteristic parameters to a preset database, and receiving a plurality of requirement parameters;
step 404, calculating a plurality of feature matching degrees of the plurality of demand features and the feature parameters;
step 405, obtaining at least one feature matching degree of the feature matching degrees, which is greater than a preset matching degree threshold value;
step 406, obtaining at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate;
step 407, sending the sharing information to the target candidates in the target candidate set;
step 408, obtaining a current work record and a work evaluation of the target object, and sending the current work record and the work evaluation to the target candidates in the target candidate set.
The specific description of the steps 401 to 408 may refer to the corresponding steps of the information sharing method described in fig. 1, and are not repeated herein.
It can be seen that, in the embodiment of the present application, the server receives the sharing information of the target object; analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information; uploading the characteristic parameters to a preset database, and receiving a plurality of requirement parameters; calculating a plurality of feature matching degrees of the plurality of demand features and the feature parameters; acquiring at least one feature matching degree which is larger than a preset matching degree threshold value in the feature matching degrees; acquiring at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate; transmitting the sharing information to the target candidates in the target candidate set; and acquiring the current work record and the work evaluation of the target object, and transmitting the current work record and the work evaluation to the target candidates in the target candidate set. Therefore, by implementing the embodiment of the application, the undetermined candidate can be determined through matching the demand characteristics and the characteristic parameters, so that the resource and information sharing is realized while the personnel are optimized, the targeted information sharing is realized, and the user experience is improved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a server 500 according to an embodiment of the present application, as shown in the drawing, the server 500 includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, wherein the one or more programs 521 are stored in the memory 520 and configured to be executed by the application processor 510, and the one or more programs 521 include instructions for performing the following steps:
receiving sharing information of a target object;
analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information;
uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters;
and sending the sharing information to the target candidates in the target candidate set.
It can be seen that, in the embodiment of the present application, the server receives the sharing information of the target object; analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information; uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters; and sending the sharing information to the target candidates in the target candidate set. Therefore, resource and information sharing can be realized while personnel are optimized, targeted information sharing can be realized, and user experience is improved.
In one possible example, the determining the target candidate set according to the plurality of demand features and the feature parameters includes: calculating a plurality of feature matching degrees of the plurality of demand features and the feature parameters; acquiring at least one feature matching degree which is larger than a preset matching degree threshold value in the feature matching degrees; and acquiring at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate.
In a possible example, after the generating the target candidate set according to the at least one target candidate, the method further includes: performing an identity verification operation on each of the at least one target candidate; acquiring target candidates passing the identity verification in the at least one target candidate to generate update parameters; and updating the target candidate set according to the updating parameters.
In one possible example, the authentication operations include an enterprise number authentication operation, biometric authentication, gesture authentication, and verification code authentication.
In one possible example, the characteristic parameters include a working age of the target object, a professional field of the target object, and a working score of the target object.
In a possible example, after the sending the sharing information to the target candidate in the target candidate set, the method further includes: acquiring a current work record and a work evaluation of the target object; and sending the current work record and the work evaluation to target candidates in the target candidate set.
In a possible example, the uploading the feature parameter to a preset database includes: receiving an uploading application, and acquiring the characteristic parameters from the uploading application; determining a target storage area in the preset database according to the uploading application; and uploading the characteristic parameters to the target storage area.
The foregoing description of the embodiments of the present application has been presented primarily in terms of a method-side implementation. It will be appreciated that the electronic device, in order to achieve the above-described functions, includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application can divide the functional units of the server according to the method example, for example, each functional unit can be divided corresponding to each function, and two or more functions can be integrated in one control unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice.
Fig. 6 is a block diagram showing functional units of an information sharing apparatus 600 according to an embodiment of the present application. The information sharing apparatus 600 is applied to a server, the information sharing apparatus 600 includes an acquisition unit 601, a judgment unit 602, an uploading unit 603, and an execution unit 604, wherein:
a receiving unit 601, configured to receive sharing information of a target object;
an analysis unit 602, configured to perform analysis processing on the shared information to obtain a feature parameter corresponding to the shared information;
a determining unit 603, configured to upload the feature parameters to a preset database, receive a plurality of requirement parameters, and determine a target candidate set according to the plurality of requirement features and the feature parameters;
And the execution unit 604 is configured to send the sharing information to the target candidates in the target candidate set.
It can be seen that, in the embodiment of the present application, the server receives the sharing information of the target object; analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information; uploading the characteristic parameters to a preset database, receiving a plurality of requirement parameters, and determining a target candidate set according to the plurality of requirement characteristics and the characteristic parameters; and sending the sharing information to the target candidates in the target candidate set. Therefore, resource and information sharing can be realized while personnel are optimized, targeted information sharing can be realized, and user experience is improved.
In a possible example, the determining unit 603 is specifically configured to determine the target candidate set according to the plurality of demand features and the feature parameters: calculating a plurality of feature matching degrees of the plurality of demand features and the feature parameters; acquiring at least one feature matching degree which is larger than a preset matching degree threshold value in the feature matching degrees; and acquiring at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate.
In a possible example, after the generating the target candidate set according to the at least one target candidate, the determining unit 603 is further configured to: performing an identity verification operation on each of the at least one target candidate; acquiring target candidates passing the identity verification in the at least one target candidate to generate update parameters; and updating the target candidate set according to the updating parameters.
In one possible example, the authentication operations include an enterprise number authentication operation, biometric authentication, gesture authentication, and verification code authentication.
In one possible example, the characteristic parameters include a working age of the target object, a professional field of the target object, and a working score of the target object.
In a possible example, after the sending the sharing information to the target candidate in the target candidate set, the executing unit 604 is further configured to: acquiring a current work record and a work evaluation of the target object; and sending the current work record and the work evaluation to target candidates in the target candidate set.
In a possible example, the uploading the characteristic parameter to a preset database, the determining unit 603 is further configured to: receiving an uploading application, and acquiring the characteristic parameters from the uploading application; determining a target storage area in the preset database according to the uploading application; and uploading the characteristic parameters to the target storage area. The embodiment of the application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any one of the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising an electronic device.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the application, wherein the principles and embodiments of the application are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. An information sharing method, applied to a server, comprising:
receiving sharing information of a target object;
analyzing the shared information to obtain characteristic parameters corresponding to the shared information, wherein the characteristic parameters comprise: taking the shared information as input of a preset feature extraction model to obtain feature parameters corresponding to the shared information;
Uploading the characteristic parameters to a preset database, wherein the database is a block chain database;
receiving a plurality of reference requests, performing a reference verification operation on each of the plurality of reference requests, comprising: acquiring an operation terminal address corresponding to the consulting request, acquiring a preset terminal address set, and judging whether the terminal address set contains the operation terminal address or not;
if the terminal address set contains the operation terminal address, determining that the operation terminal address is in an effective state, acquiring a plurality of requirement parameters contained in the reference request, and determining a target candidate set according to the plurality of requirement parameters and the characteristic parameters; transmitting the sharing information to the target candidates in the target candidate set;
and if the terminal address set does not contain the operation terminal address, determining that the operation terminal address is in an invalid state, and refusing the reference request of the operation terminal address.
2. The method of claim 1, wherein the determining the target candidate set based on the plurality of demand parameters and the characteristic parameters comprises:
calculating a plurality of feature matching degrees of the plurality of requirement parameters and the feature parameters;
Acquiring at least one feature matching degree which is larger than a preset matching degree threshold value in the feature matching degrees;
and acquiring at least one target candidate corresponding to the at least one feature matching degree, and generating the target candidate set according to the at least one target candidate.
3. The method of claim 2, wherein after the generating the set of target candidates from the at least one target candidate, further comprising:
performing an identity verification operation on each of the at least one target candidate;
acquiring target candidates passing the identity verification in the at least one target candidate to generate update parameters;
and updating the target candidate set according to the updating parameters.
4. A method according to claim 3, wherein the authentication operations include an enterprise number authentication operation, biometric authentication, gesture authentication, and verification code authentication.
5. The method according to claim 1 or 2, wherein the characteristic parameters include a working age of the target object, a professional field of the target object, and a working score of the target object.
6. The method of claim 1, wherein after the sending the sharing information to the target candidates in the target candidate set, further comprising:
Acquiring a current work record and a work evaluation of the target object;
and sending the current work record and the work evaluation to target candidates in the target candidate set.
7. The method of claim 1, wherein uploading the characteristic parameters to a preset database comprises:
receiving an uploading application, and acquiring the characteristic parameters from the uploading application;
determining a target storage area in the preset database according to the uploading application;
and uploading the characteristic parameters to the target storage area.
8. A talent sharing device, characterized by being applied to a server, the device comprising:
a receiving unit for receiving sharing information of a target object;
the analysis unit is used for analyzing and processing the shared information to obtain characteristic parameters corresponding to the shared information, and comprises the following steps: taking the shared information as input of a preset feature extraction model to obtain feature parameters corresponding to the shared information;
the determining unit is used for uploading the characteristic parameters to a preset database, wherein the database is a block chain database;
the determining unit is further configured to receive a plurality of reference requests, perform a reference verification operation on each of the plurality of reference requests, and include: acquiring an operation terminal address corresponding to the consulting request, acquiring a preset terminal address set, and judging whether the terminal address set contains the operation terminal address or not;
The determining unit is further configured to determine that the operation terminal address is in an effective state if the terminal address set includes the operation terminal address, obtain a plurality of requirement parameters included in the reference request, and determine a target candidate set according to the plurality of requirement parameters and the feature parameters;
an execution unit, configured to send the sharing information to a target candidate in the target candidate set;
and the determining unit is further configured to determine that the operation terminal address is in an invalid state if the terminal address set does not include the operation terminal address, and reject the reference request of the operation terminal address.
9. A server comprising a processor, a memory, a communication device, and one or more programs, the processor, memory and communication device being interconnected, wherein the communication device is adapted for information interaction with an external device, the one or more programs being stored in the memory and configured to be executed by the processor, the program comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.
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