CN109918583A - A kind of mission bit stream processing method and processing device - Google Patents
A kind of mission bit stream processing method and processing device Download PDFInfo
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- CN109918583A CN109918583A CN201910205292.5A CN201910205292A CN109918583A CN 109918583 A CN109918583 A CN 109918583A CN 201910205292 A CN201910205292 A CN 201910205292A CN 109918583 A CN109918583 A CN 109918583A
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Abstract
The embodiment of the present invention provides a kind of mission bit stream processing method and processing device, is related to field of computer technology, mainly to solve to be unable to satisfy recruitment person in the prior art for the demand in regional job hunter and real-time job hunter.Example of the present invention includes: to obtain the user information of target user, target user meets customer position information in the setting period and is within the scope of setting regions, and/or meets in the setting period and be less than or equal to threshold value from the commuting time that customer position information reaches setting position；The similarity score that each target user is matched with mission bit stream is calculated according to the mission bit stream of the user information of target user and a goal task；It sorts according to the size of similarity score and target user and exports list of targeted subscribers.
Description
Technical field
The present invention relates to field of computer technology, and in particular, to a kind of mission bit stream processing method and processing device.
Background technique
With the fast development of Internet technology, more and more internet products bring pole to the work and life of people
Big variation, such as recruitment field.The specific implementation process is as follows: enterprises recruitment personnel issue recruitment post letter in recruitment system
Breath, job hunter input the set post keyword of demand on the subscriber terminal.User actively delivers, and user passes through user terminal
After inputting post key word information at the function of search of position search interface, user terminal is by network communication technology at 3 seconds
Interior automatic transmission retrieval information command gives recruitment system server, and recruitment system server, which is automatically accepted in 3 seconds to post, to be examined
After rope information command, after obtaining user terminal transmission post key word information by web technology/algorithm, hilllock is carried out to database
Position Keywords matching, returns to user terminal for matching result, so that matching knot is presented in mobile terminal on position search interface
Fruit, user select the post for being suitble to oneself, and after user selects post, enterprises recruitment personnel determine that job hunter meets post and wants
It asks, determines job hunter's registration, complete recruitment.
However, above-mentioned recruitment system server be scanned for by the location information of user's registration it is matched, can not
Meets recruitment person in regional job hunter and the needs of real-time job hunter, so that the result that recruitment system server returns
Matching accuracy is low.
Summary of the invention
The embodiment of the present invention provides a kind of mission bit stream processing method and processing device, can not expire in the prior art to solve
Sufficient recruitment person is for the demand in regional job hunter and real-time job hunter.
In order to achieve the above objectives, the embodiment of the present invention adopts the following technical scheme that
The embodiment of the present invention in a first aspect, providing a kind of mission bit stream processing method, which comprises
The user information of target user is obtained, the user information includes customer position information, and the target user meets
The customer position information is within the scope of setting regions in the setting period and/or the target user met in the setting period
The commuting time for reaching setting position from the customer position information is less than or equal to the user of threshold value；
Each target user's matching is calculated according to the mission bit stream of the user information of the target user and a goal task
In the similarity score of the mission bit stream；And
It sorts according to the size of the similarity score and the target user and exports list of targeted subscribers.
Optionally, the step of user information for obtaining target user, comprising:
The first user information of the first user is obtained, first user information includes the first user of first user
Location information；And
When first customer position information uses the target within the scope of the setting regions in the setting period
Family includes first user.
Optionally, the step of user information for obtaining target user, comprising:
The first user information of the first user is obtained, the first user information includes the first user location of first user
Information；And
When the commuting time in the setting period from first customer position information arrival setting position is less than or equal to threshold
Value, making the target user includes first user.
Optionally, the step of user information for obtaining target user, comprising:
The first user information of the first user is obtained, the first user information includes the first user location of first user
Information；And
When first customer position information is being within the scope of the setting regions and is working as setting week in the setting period
It is less than or equal to threshold value from the commuting time that first customer position information reaches setting position in phase, makes the target user
Including first user.
Optionally, the user information further includes personal label, and the mission bit stream includes the geographical location where task
And task label；
The user information and mission bit stream according to the target user calculates each target user and mission bit stream
The step of similarity score, comprising:
The user characteristics vector as composed by the weighted value of the customer position information and the weighted value of personal label is obtained,
And obtain the task feature vector as composed by the weighted value in the geographical location where task and the weighted value of task label；With
And
Each target user, which is calculated, according to task feature vector described in the user characteristics vector sum is matched with the task
The similarity score of information.
It is further alternative, the method also includes:
Each weighted value in each weighted value and task feature vector in initialising subscriber feature vector；And
All weighted values after initialization are input to neural network, all weighted values are trained；
Or/and, the method also includes:
Obtain user information and mission bit stream；
The first keyword of the user information and the second keyword of the mission bit stream are extracted using segmentation methods, are built
It founds the first mapping relations of first keyword and user information and the second of second keyword and mission bit stream is reflected
Penetrate relationship；And
The customer position information and personal label are obtained from first mapping relations, and are mapped from described second
Geographical location and task label in relationship where acquisition task.
Optionally, the method also includes:
The empirical value score of each target user is calculated according to the user information of the target user；
The similarity of the mission bit stream is matched with according to the empirical value score of the target user and each target user
Score calculates the comprehensive score of the target user；And
According to the size of the comprehensive score of the target user sequence target user and export target user's column
Table；
Preferably, the method also includes:
After the trigger action for detecting the user information for checking target user, the associated buddy column of the target user are exported
Table.
Optionally, the method also includes:
After the trigger action that reception task is completed, display evaluation marking interface；And
Receive the evaluation information for evaluating the target user, and the evaluation information described in evaluation marking interface display；
Preferably, after the trigger action step that the reception task is completed, the method also includes:
According to the expense of mission bit stream objects of verification user；And
The expense of the target user is paid by bank's gateway to the account of target user.
Preferably, the list of targeted subscribers only includes the target user of part, remaining is not included the institute of part
Stating target user has the similarity score less than the target user for being included part.
The second aspect of the embodiment of the present invention, provides a kind of mission bit stream processing unit, and described device includes:
Module is obtained, for obtaining the user information of target user, the user information includes customer position information, described
Target user meet setting the period in the customer position information be within the scope of setting regions and/or the target user accord with
Close the user for being less than or equal to threshold value in the setting period from the commuting time that the customer position information reaches setting position；
Computing module, it is each for being calculated according to the user information of the target user and the mission bit stream of a goal task
Target user is matched with the similarity score of the mission bit stream；And
Output module for the size sequence target user according to the similarity score and exports target user's column
Table.
The third aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has the computer program for executing method described in first aspect.
The fourth aspect of the embodiment of the present invention provides a kind of mission bit stream processing method, which comprises
The mission bit stream of goal task is obtained, the mission bit stream includes task location information, and the goal task meets
The task location information is within the scope of setting regions, and/or from setting position to when the commuting of the task location information
Between be less than or equal to threshold value；
Each goal task is calculated according to the user information of the mission bit stream of the goal task and first object user
Similarity score assigned in the user information；And
According to the size of the similarity score sequence goal task and export goal task list.
Optionally, the step of mission bit stream for obtaining goal task, comprising:
The first task information of first task is obtained, the first task information includes the first task of the first task
Location information；And
When the first task location information is within the scope of setting regions, it includes described first for making the goal task
Business.
Optionally, the step of mission bit stream for obtaining goal task, comprising:
The first task information of first task is obtained, the first task information includes the first task of the first task
Location information；And
When being less than threshold value from the first task location information to the commuting time setting position, make the goal task
Including the first task.
Optionally, the step of mission bit stream for obtaining goal task, comprising:
The first task information of first task is obtained, the first task information includes the first task of the first task
Location information；And
When the first task location information is within the scope of setting regions and is worked as from the first task location information
It is less than threshold value to the commuting time between setting position, making the goal task includes the first task.
Optionally, the user information includes customer position information locating for user and personal label and the task
Information further includes task label；It is described that each goal task is calculated according to the mission bit stream and user information of the goal task
The step of similarity score assigned in the user information, comprising:
The task feature vector as composed by the weighted value of the task location information and the weighted value of task label is obtained,
And obtain the user characteristics vector as composed by the weighted value of the customer position information and the weighted value of personal label；And
Each goal task, which is calculated, according to the task feature vector and the user characteristics vector is matched with the user
The similarity score of information.
Optionally, the user information includes personal label and customer position information, the method also includes:
The similarity score between the first object user and the second target user is calculated according to user characteristics vector；
When the similarity score between the first object user and second target user be less than or equal to threshold value, sentence
Break the first object user and second target user similar users each other；And
After detecting that second target user checks the operation of setting out of goal task information, to second target user
The goal task list of the corresponding first object user is exported again.
Optionally, the method also includes:
The value score of each goal task is calculated according to the mission bit stream of the goal task；
The similar of the user information is matched with according to the value score of the goal task and each goal task
Degree score calculates the comprehensive score of the goal task；And
The goal task list is exported according to the size of the comprehensive score of the goal task.
Optionally, the method also includes:
After the trigger action that reception task is completed, display evaluation marking interface；And
Receive the evaluation information for evaluating the goal task, and the evaluation information described in evaluation marking interface display；
Preferably, after the trigger action that the reception task is completed, the method also includes:
According to the expense of mission bit stream objects of verification user；And
The expense of the target user is paid by bank's gateway to the account of target user.
Preferably, the goal task list only includes the goal task of part, remaining is not included the institute of part
Stating goal task has the similarity score less than the goal task for being included part.
5th aspect of the embodiment of the present invention, provides a kind of mission bit stream processing unit, described device includes:
Module is obtained, for obtaining the mission bit stream of goal task, the mission bit stream includes task location information, described
Goal task meet the task location information be within the scope of setting regions and/or the goal task meet from setting position
The commuting time for setting the task location information is less than or equal to threshold value；
Computing module, it is each for being calculated according to the mission bit stream of the goal task and the user information of a target user
Goal task is matched with the similarity score of the user information；And
Output module the goal task and exports goal task column for sorting according to the size of the similarity score
Table.
6th aspect of the embodiment of the present invention, provides a kind of computer readable storage medium, the computer-readable storage
Media storage has the computer program of method described in right of execution fourth aspect.
Compared with the prior art, mission bit stream processing method and processing device provided by the invention, firstly, being used by obtaining target
The user information at family, the target user meet customer position information in the setting period and are within the scope of setting regions, and/or be mesh
Mark user meets the user for being less than or equal to threshold value in the setting period from the commuting time that customer position information reaches setting position；
Then, each target user is calculated according to the mission bit stream of the user information of target user and a goal task and is matched with task letter
The similarity score of breath；Finally, sorting according to the size of similarity score target user and exports list of targeted subscribers.Due to this
Scheme realizes regional and real-time screening to target user using geographical location and time cycle, so that server
Or result the spent time that terminal returns is less, and matching accuracy is higher.
Detailed description of the invention
The disclosure can be by reference to being better understood below in association with description given by attached drawing.It is understood that
Be that attached drawing is not necessarily drawn to scale.In the accompanying drawings:
Fig. 1 is a kind of flow chart of mission bit stream processing method provided in an embodiment of the present invention；
Fig. 2 is a kind of schematic diagram of mission bit stream processing unit provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of another mission bit stream processing unit provided in an embodiment of the present invention；
Fig. 4 is the flow chart of another mission bit stream processing method provided in an embodiment of the present invention；
Fig. 5 is the schematic diagram of another mission bit stream processing unit provided in an embodiment of the present invention；
Fig. 6 is the schematic diagram of another mission bit stream processing unit provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
For the ease of clearly describing the technical solution of the embodiment of the present invention, in an embodiment of the present invention, use " the
One ", the printed words such as " second " distinguish function or the essentially identical identical entry of effect or similar item, and those skilled in the art can
To understand that the printed words such as " first ", " second " are not defined quantity and execution order.
The terms "and/or", only a kind of incidence relation for describing affiliated partner, indicates that there may be three kinds of passes
System, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.In addition, herein
Middle character "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or".
The terms "comprises/comprising" refers to the presence of feature, element or component when using herein, but is not precluded one
The presence or additional of a or more other feature, element or component.
The present embodiments relate to mission bit stream include but is not limited to: casual labour, short-term recruitment or part-time etc..Specifically
, the corresponding position of the mission bit stream includes but is not limited to: keeping a public place clean, driver or nurse.
A kind of executing subject of mission bit stream processing method provided in an embodiment of the present invention is mission bit stream output device, is shown
Example property, which can be the application program (referred to as: APP) of terminal device or installation on the terminal device
Or the server in background process.Wherein, above-mentioned terminal device can for smart phone, tablet computer, laptop,
UMPC (full name in English: Ultra-mobile Personal Computer, Chinese referred to as: Ultra-Mobile PC), on
Net sheet, PDA (full name in English: Personal Digital Assistant, Chinese abbreviation: personal digital assistant) etc., and it is unlimited
In this.
The embodiment of the present invention provides a kind of mission bit stream processing method, as shown in Figure 1, this method comprises:
101, the user information of target user is obtained.
Preferably, above-mentioned target user meets customer position information in the setting period and is within the scope of setting regions, and/
Or target user meets the commuting time in the setting period from customer position information arrival setting position less than or equal to threshold value
User.
Illustratively, above-mentioned user information includes but is not limited to the following contents: customer position information, and personal mark
Label, in which: personal label is used to describe the relevant information of user, such as: the age, gender, ID card No., registered address and
Working experience etc.；Personal label can be it is multiple or one, such as: label 1, label 2 ... ... label n.
Illustratively, above-mentioned customer position information, which can be, obtains itself current geographical location by user terminal,
The geographical location for either selecting oneself current by job hunter.
Illustratively, target can be obtained by way of receiving text information or voice messaging in the embodiment of the present invention
The user information of user.Preferably, it for being unfamiliar with internet and for little educational user, may typewrite relatively more tired
It is difficult, it may be considered that preferential that the mode for receiving voice messaging is selected to obtain user information.
Optionally, before above-mentioned step 101, this method further include:
101a, user is screened according to mission requirements.
Above-mentioned mission requirements are set according to enterprise or tester, and the mission requirements are not only
One, it can be changed with the difference of enterprise or user.Wherein, different mission requirements correspond to different target users.For example,
When mission requirements are to find nurse, then the user filtered out is nurse；When mission requirements are to find driver, the then user filtered out
For driver.
Illustratively, above-mentioned step 101 specifically includes the following contents:
101b1, the first user information for obtaining the first user.
Wherein, the first user information of the first above-mentioned user includes the first customer position information of the first user.
Illustratively, the user information of the first above-mentioned user can be by receiving terminal transmission, be also possible to lead to
Cross user (such as job hunter) input, in which: input without restriction, including voice or text to the mode of user's input
Deng.
101b2, when in the setting period the first customer position information within the scope of the setting regions, make the target user include
First user.
The registered address in the first customer position information and user information of the first user is passed through in the embodiment of the present invention
Geohash coded system is compared, and user of the comparison result in certain threshold range is determined as the first user, then all
Phase property updates the current geographic position of the first user, in a period of time all in the first user within the scope of setting regions,
Increase " good user " label for it, which is determined as target user.Due to user temporally and spatially
Primary screening is carried out, so that enterprise fully takes into account region in the subsequent suitable user of selection according to mission requirements
Property and real-time improve subsequent efficiency when matching user and task.
It is further alternative, it further include user's determination by comparison result in certain threshold range in the embodiment of the present invention
It for " accurate user ", and is stored as a user tag, in order to update user information.
Illustratively, above-mentioned step 101 can also include specifically the following contents:
101c1, the first user information for obtaining the first user, the first user information include the first use of first user
Family location information.
101c2, when setting the period in from first customer position information reach setting position commuting time be less than or
Equal to threshold value, making the target user includes first user.
Illustratively, above-mentioned step 101 can also include specifically the following contents:
101d1, the first user information for obtaining the first user, the first user information include the first user position of the first user
Confidence breath.
101d2, when in the setting period the first customer position information within the scope of the setting regions and when the setting period
The interior commuting time for reaching setting position from the first customer position information is less than or equal to threshold value, and making target user includes the first use
Family.
In order to further improve the matching efficiency of subsequent user and task, pass through 101d1- in the embodiment of the present invention
The step of 101d2, determines target user, and when meeting the condition in 101d1 and 101d2 simultaneously, identified target user more can
Meets enterprise the needs of region is with real-time job hunter, so that result the spent time that server or terminal return
It is less, and matching accuracy is higher.
102, each target user is calculated according to the mission bit stream of the user information of target user and a goal task to match
In the similarity score of user information.
Illustratively, above-mentioned mission bit stream includes but is not limited to the following contents: geographical location and task where task
Label, in which: task label is used to describe the relevant information of task, such as: task names, task duration, mission requirements and
Wages etc.；Task label can be it is multiple or one, such as: label 1, label 2 ... ... label n.
Preferably, before above-mentioned step 102, this method further include:
102a1, user information and mission bit stream are obtained.
The second keyword of 102a2, the first keyword that user information is extracted using segmentation methods and mission bit stream, are established
The first mapping relations and the second keyword of first keyword and user information and the second mapping relations of mission bit stream.
102a3, customer position information and personal label are obtained from the first mapping relations, and from the second mapping relations
Geographical location and task label where acquisition task.
Illustratively, keyword and user information are established respectively after extraction of the present invention using segmentation methods realization keyword
It is as follows with the particular content of mission bit stream: the text of user information and mission bit stream is pre-processed, extra space is removed,
Text is divided into several clauses and phrase according to punctuation mark, text is segmented, calculates word using TF/IDF algorithm
Frequency values, using frequency values greater than threshold value T keyword as candidate keywords；Similarity analysis is carried out to candidate keywords,
It selects K-means means clustering algorithm to carry out clustering to candidate word, filters out candidate keywords；By candidate keywords with
Data in keyword database are matched, and determine final target keyword, in user information and mission bit stream keyword
After the completion of extraction, the keyword of the user information and mission bit stream is stored to keyword database, and establish user information with
The mapping relations and mission bit stream of keyword and the mapping relations of keyword.
Illustratively, above-mentioned step 102 specifically includes the following contents:
102a, obtain the user characteristics composed by the weighted value of the weighted value of customer position information and personal label to
Amount, and obtain the task feature composed by the weighted value in the geographical location where task and the weighted value of task label to
Amount.
102b, the phase that each target user is matched with mission bit stream is calculated according to user characteristics vector sum task feature vector
Like degree score.
Optionally, above-mentioned similarity score can be calculated using cosine similarity.
Illustratively, the content based on above-mentioned step 102a and 102b, is given below the specific implementation of above-mentioned example
Process: user characteristics vector is VectorIncidence relation between q, i.e. similarity
Are as follows:
Optionally, this method further include: user characteristics vector and task feature vector are normalized, returned
One changes vector；Then, it is calculated using parallel computation mode between the user characteristics vector sum task feature vector after normalization
Cosine similarity obtains N number of cosine similarity value；The maximum cosine similarity of numerical value is retrieved in N number of cosine similarity value
Value.
Further alternative, this method further includes the following contents before above-mentioned step 102a:
Each weighted value in each weighted value and task feature vector in 102c, initialising subscriber feature vector.
102d, all weighted values after initialization are input to neural network, all weighted values is trained.
Illustratively, 102c and 102d through the above steps, can obtain user characteristics vector sum task feature vector
In each weighted value, detailed process is as follows: to the weighted value in geographical location current locating for target user and personal label
Weighted value and task where geographical location weighted value and task label weighted value, using BP neural network algorithm into
Row training；By geographical location locating for each target user and geographical location and task label where personal label and task
Input layer input value as BP neural network；For real-time and regional demand, original state can be to geography
The rich higher weighted value of location information；Neural network is trained by sample, output layer and weight is adjusted, passes through instruction
Practice the optimal solution that data set training network meets threshold requirement until exporting.
103, it sorts according to the size of similarity score and target user and exports list of targeted subscribers.
Wherein, list of targeted subscribers only includes the target user of part, remaining is not included the target of part
User, which has, to be less than by the similarity score of the target user including part.
Illustratively, above-mentioned list of targeted subscribers can be arranged according to the size ascending or descending order of similarity score, root
Different put in order is selected according to the actual demand of user.103 list of targeted subscribers can be obtained through the above steps, for
Enterprise quickly searches out suitable staff.Due to target user be set the period in user current geographic position be in set
Determine in regional scope, and/or to be less than in the setting period from the commuting time that the current geographic position of user reaches setting position
Or the user equal to threshold value, regional and real-time is fully taken into account when screening user, improves output list of targeted subscribers
Efficiency, and the target user can satisfy the demand of enterprise.
Further alternative, this method further includes the following contents:
104, the empirical value score of each target user is calculated according to the user information of target user.
105, the similarity score of mission bit stream is matched with according to the empirical value score of target user and each target user
Calculate the comprehensive score of target user.
106, it is sorted according to the size of the comprehensive score of target user and target user and exports list of targeted subscribers.
Illustratively, the empirical value score of above-mentioned target user is used to indicate the working experience situation of the target user.
Optionally, the empirical value score of target user can be the length of service in user information.Alternatively, being by length of service and other
The vector field homoemorphism of the composition of user information, here to other users information without limiting.
Illustratively, above-mentioned step 105 specifically includes:
105a, the similarity score that the empirical value score of target user and target user are matched with mission bit stream is input to
In calculation formula, the comprehensive score of target user is obtained.
Illustratively, above-mentioned calculation formula are as follows: Scount=α * S1+β*S2, in which: ScountFor the comprehensive of target user
Point, S1For the empirical value score of target user, S2For the similarity of target user and mission bit stream；α is the empirical value of target user
The corresponding weight of score, β are target user's weight corresponding with the similarity of mission bit stream, alpha+beta=1.
Optionally, above-mentioned method further include:
107, after the operation of setting out for detecting the user information for checking target user, the associated buddy column of target user are exported
Table.
Available through the embodiment of the present invention and the more relevant other users of target user information, in order to be able to
Save the management of management cost or unified realization personnel.
Optionally, above-mentioned method further includes the following contents:
108, after receiving the trigger action that task is completed, display evaluation marking interface.
109, the evaluation information of evaluation goal user is received, and in evaluation marking interface display evaluation information.
By above-mentioned content, it can be realized enterprise after the completion of task and give a mark to the evaluation of target user, and can be with
It saves and generates new work experience, so that target user is obtaining next task or enterprise in the next user of searching
When can with reference to evaluation marking, with obtain keep enterprise more satisfied user.
Optionally, above-mentioned method further includes the following contents:
110, according to the expense of mission bit stream objects of verification user.
111, the expense of target user is paid by bank's gateway to the account of target user.
By foregoing, the embodiment of the present invention can be realized after the completion of task and be paid on line, can be in this way enterprise
Industry and user provide safely and conveniently payment environment, offer convenience for user.
Below by the associated description in the embodiment based on the corresponding mission bit stream processing method of Fig. 1 to the embodiment of the present invention
A kind of mission bit stream processing unit provided is introduced.It is technical term relevant to above-described embodiment in following embodiment, general
The explanation of thought etc. is referred to the above embodiments, and which is not described herein again.
The embodiment of the present invention provides a kind of mission bit stream processing unit, as shown in Fig. 2, the mission bit stream processing unit 2 is wrapped
Include: first obtains module 201, computing module 202 and output module 203, in which:
First obtains module 201, for obtaining the user information of target user.Wherein, above-mentioned target user, which meets, sets
Customer position information is within the scope of setting regions in fixed cycle and/or target user meets in the setting period from user location
The commuting time that information reaches setting position is less than or equal to the user of threshold value.
Computing module 202, it is each for being calculated according to the user information of target user and the mission bit stream of a goal task
Target user is matched with the similarity score with mission bit stream.
Output module 203 for the size sequence target user according to similarity score and exports list of targeted subscribers.
Illustratively, the first above-mentioned acquisition module 201 is specifically used for:
The first user information of the first user is obtained, the first user information includes the first user location letter of the first user
Breath.
When the first customer position information within the scope of setting regions, makes target user include the first use in the setting period
Family.
Illustratively, the first above-mentioned acquisition module 201 is specifically also used to:
The first user information of the first user is obtained, the first user information includes the first user location of first user
Information.
When the commuting time in the setting period from first customer position information arrival setting position is less than or equal to threshold
Value, making the target user includes first user.
Illustratively, the first above-mentioned acquisition module 201 is specifically also used to:
The first user information of the first user is obtained, the first user information includes the first user location of first user
Information.
When in the setting period the first customer position information within the scope of the setting regions and when in the setting period from the
The commuting time that one customer position information reaches setting position is less than or equal to threshold value, and making target user includes the first user.
Illustratively, above-mentioned user information includes but is not limited to the following contents: customer position information, and personal mark
Label, in which: personal label is used to describe the relevant information of user, such as: the age, gender, ID card No., registered address and
Working experience etc.；Personal label can be it is multiple or one, such as: label 1, label 2 ... ... label n.
Illustratively, above-mentioned mission bit stream includes but is not limited to the following contents: geographical location and task where task
Label, in which: task label is used to describe the relevant information of task, such as: task names, task duration, mission requirements and
Wages etc.；Task label can be it is multiple or one, such as: label 1, label 2 ... ... label n.
Preferably, computing module 202 is specifically used for:
The user characteristics vector as composed by the weighted value of customer position information weighted value and personal label is obtained, and is obtained
Take the task feature vector as composed by the weighted value in the geographical location where task and the weighted value of task label.
The similarity score of each target user and mission bit stream is calculated according to user characteristics vector sum task feature vector.
It is further alternative, as shown in figure 3, above-mentioned mission bit stream processing unit 2 further include: initialization module 204 with
And training module 205, in which:
Initialization module 204, in each weighted value and task feature vector in initialising subscriber feature vector
Each weighted value.
Training module 205 carries out all weighted values for all weighted values after initialization to be input to neural network
Training.
It is further alternative, as shown in figure 3, above-mentioned mission bit stream processing module 2 further include: establish module 206 and
Second obtains module 207, in which:
First obtains module 201, is also used to obtain user information and mission bit stream.
Module 206 is established, for extracting the first keyword and task letter of the user information using segmentation methods
Breath the second keyword, establish first keyword and user information the first mapping relations and second keyword with
Second mapping relations of mission bit stream.
Second obtains module 207, for obtaining current geographic position and individual locating for user from the first mapping relations
Label, and from where acquisition task in the second mapping relations geographical location and task label.
It is further alternative:
Computing module 202 is also used to calculate the empirical value score of each target user according to the user information of target user.
Computing module 202 is also used to be matched with task letter according to the empirical value score and each target user of target user
The similarity score of breath calculates the comprehensive score for the user that sets the goal.
Output module 203 is also used to sort target user according to the size of the comprehensive score of target user and exports target
User list.
Further alternative, output module 203 is also used to detect the trigger action for checking the user information of target user
Afterwards, the associated buddy list of target user is exported.
It is further alternative, as shown in figure 3, above-mentioned mission bit stream processing unit 2 further include: display module 208,
In:
Display module 208, after receiving the trigger action that task is completed, display evaluation marking interface.
Display module 208 is also used to receive the evaluation information of evaluation goal user, and in evaluation marking interface display evaluation
Information.
It is further alternative, as shown in figure 3, above-mentioned mission bit stream processing unit 2 further include: expense validating module 209
And payment module 210, in which:
Expense validating module 210, for the expense according to mission bit stream objects of verification user.
Payment module 211, for being paid the expense of target user by bank's gateway to the account of target user.
The embodiment of the present invention provides a kind of computer readable storage medium, and computer-readable recording medium storage has in execution
The computer program as the method for figure 1 of text description.
Illustratively, any usable medium that computer readable storage medium can be that computer can access either is wrapped
The data storage devices such as server, the data center integrated containing one or more usable mediums.The usable medium can be magnetism
Medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
Compared with the prior art, mission bit stream processing method and processing device provided by the invention, firstly, being used by obtaining target
The user information at family, the target user be the current geographic position of user in the period is set to be within the scope of setting regions, and/or
For the user for being less than or equal to threshold value in the setting period from the commuting time that the current geographic position of user reaches setting position；So
Afterwards, the similarity score of each target user and mission bit stream is calculated according to the user information of target user and mission bit stream；Most
Afterwards, list of targeted subscribers is exported according to the size of similarity score.Since this programme uses geographical location and time cycle to mesh
Mark user realizes regional and real-time screening so that result spent time for returning of server or terminal compared with
It is few, and matching accuracy is higher.
The embodiment of the present invention provides a kind of processing method of mission bit stream, as shown in figure 4, this method comprises:
301, the mission bit stream of goal task is obtained.
Wherein, above-mentioned goal task meets task location information and is within the scope of setting regions, and/or from setting position
Commuting time to the task location information is less than or equal to threshold value.
Illustratively, above-mentioned mission bit stream includes but is not limited to the following contents: geographical location and task where task
Label, in which: task label is used to describe the relevant information of task, such as: task names, task duration, mission requirements and
Wages etc.；Task label can be it is multiple or one, such as: label 1, label 2 ... ... label n.
Illustratively, above-mentioned step 301 includes the following contents:
301a1, the mission bit stream for obtaining first task.
Wherein, the mission bit stream of first task includes the first task location information of first task.
301a2, when first task location information is within the scope of setting regions, making goal task includes first task.
Illustratively, the mission bit stream of above-mentioned first task can be by receiving terminal transmission, be also possible to lead to
Cross user (such as recruiter) input, in which: input without restriction, including voice or text to the mode of user's input
Deng.
By above-mentioned content, the embodiment of the present invention first by filtering out goal task according to geographical location so that after
Match time can be saved when being matched the mission bit stream and user information of goal task by continuing, so that matching efficiency is improved,
It is furthermore possible to meet enterprise in the demand geographically for finding operating personnel.
Illustratively, above-mentioned step 301 further includes the following contents:
301b1, the first task information for obtaining first task, the first task information include the of the first task
One task location information.
301b2, the commuting time between from first task location information to setting position are less than threshold value, make goal task packet
Include first task.Illustratively, above-mentioned step 301 further includes the following contents:
301c1, the first task information for obtaining first task, first task information includes the first task position of first task
Confidence breath.
301c2, when first task location information be within the scope of setting regions and when from first task location information to
Commuting time between setting position is less than threshold value, and making goal task includes the first task.
In order to further improve the matching efficiency of subsequent user and task, pass through 301c1- in the embodiment of the present invention
The step of 301c2, determines goal task, and when meeting the condition in 301c1-301c2 simultaneously, identified goal task more can
Meet job hunter in region the needs of, so that result the time it takes that server or terminal return is less, and
Matching accuracy is higher.
302, each goal task is calculated according to the user information of the mission bit stream of goal task and first object user
Similarity score assigned in user information.
Illustratively, above-mentioned user information includes but is not limited to the following contents: customer position information, and personal mark
Label, in which: personal label is used to describe the relevant information of user, such as: the age, gender, ID card No., registered address and
Working experience etc.；Personal label can be it is multiple or one, such as: label 1, label 2 ... ... label n.
Illustratively, above-mentioned step 302 specifically includes the following contents:
302a, obtain the task feature composed by the weighted value of task location information and the weighted value of task label to
Amount, and obtain the user characteristics vector as composed by the weighted value of customer position information and the weighted value of personal label.
302b, the phase that each goal task is matched with user information is calculated according to task feature vector and user characteristics vector
Like degree score.
Optionally, above-mentioned similarity score can be calculated using cosine similarity.
Illustratively, the content based on above-mentioned step 302a and 302b, is given below the specific implementation of above-mentioned example
Process: user characteristics vector is VectorIncidence relation between q, i.e. similarity
Are as follows:
Optionally, this method further include: user characteristics vector and task feature vector are normalized, returned
One changes vector；Then, it is calculated using parallel computation mode between the user characteristics vector sum task feature vector after normalization
Cosine similarity obtains N number of cosine similarity value；The maximum cosine similarity of numerical value is retrieved in N number of cosine similarity value
Value.
Further alternative, this method further includes the following contents before above-mentioned step 302a:
Each weighted value in each weighted value and task feature vector in 302c, initialising subscriber feature vector.
302d, all weighted values after initialization are input to neural network, all weighted values is trained.
Illustratively, 302c and 302d through the above steps, can obtain user characteristics vector sum task feature vector
In each weighted value, detailed process is as follows: to the weighted value in geographical location current locating for target user and personal label
Weighted value and task where geographical location weighted value and task label weighted value, using BP neural network algorithm into
Row training；By geographical location locating for each target user and geographical location and task label where personal label and task
Input layer input value as BP neural network；For real-time and regional demand, original state can be to geography
The rich higher weighted value of location information；Neural network is trained by sample, output layer and weight is adjusted, passes through instruction
Practice the optimal solution that data set training network meets threshold requirement until exporting.
303, it is sorted according to the size of similarity score and goal task and exports goal task list.
Wherein, goal task list only includes the goal task of part, remaining goal task for being not included part has
Less than the similarity score for the goal task for being included part.
Illustratively, above-mentioned list of targeted subscribers can be arranged according to the size ascending or descending order of similarity score, root
Different put in order is selected according to the actual demand of user.
303 goal task list can be obtained through the above steps, so that job hunter quickly searches out suitable task.
Since the geographic location of goal task is within the scope of setting regions, and/or the place from setting position to goal task
Commuting time between geographical location is less than or equal to threshold value, therefore identified goal task is more able to satisfy job hunter in region
On demand so that result the time it takes that server or terminal return is less, and matching accuracy is higher.
It is further alternative, this method further include:
304, the value score of each goal task is calculated according to the mission bit stream of goal task.
305, the similarity score meter of user information is matched with according to the value score of goal task and each goal task
Calculate the comprehensive score of goal task.
306, goal task list is exported according to the size of the comprehensive score of goal task.
Illustratively, the value score of above-mentioned goal task is used to indicate the value situation of the goal task, such as: it should
Experience situation brought by goal task or income situation.Optionally, the value score of goal task can be in mission bit stream
Wages situation, such as wages, within the scope of first interval, the value of goal task is scored at 10, and wages situation is in the secondth area
Between in range, the value of goal task is scored at 8 points and wages situation within the scope of 3rd interval, goal task
Value is scored at 6 points etc..Alternatively, by the vector field homoemorphism of wages situation and other mission bit streams formed, here to other
Information of being engaged in is without limiting.
Illustratively, above-mentioned step 305 specifically includes:
305a, the similarity score that the value score of goal task and target user are matched with mission bit stream is input to meter
It calculates in formula, obtains the comprehensive score of goal task.
Illustratively, above-mentioned calculation formula are as follows: S 'count=α ' * S '1+β’*S’2, in which: S 'countFor goal task
Comprehensive score, S '1For the value score of goal task, S '2For the similarity of target user and mission bit stream；α ' is goal task
The corresponding weight of value score, β ' be target user's weight corresponding with the similarity of mission bit stream, α '+β '=1.
Optionally, above-mentioned method further include:
307, the similarity score between first object user and the second target user is calculated according to user characteristics vector.
308, when the similarity score between first object user and the second target user is less than or equal to threshold value, judge the
One target user and the second target user similar users each other.
309, defeated again to the second target user after detecting that the second target user checks the operation of setting out of goal task information
Out to the goal task list with first object user.
Illustratively, above-mentioned step 307 can determine the first user and by the calculation formula of cosine similarity
The similarity score of two users can also classify to user by using SVM classifier, calculate the first user and second and use
Similarity score between family.
What the similar first object user of available through the embodiment of the present invention and the second target user browsed appoints
On the one hand business information, can obtain other mission bit streams in this way and select for user, another aspect will be seen that and itself
Belong to user's information of interest of same type using as reference.
Optionally, above-mentioned method further includes the following contents:
310, after the operation of setting out that reception task is completed, display evaluation marking interface.
311, the evaluation information of evaluation goal task is received, and states evaluation information in evaluation marking interface display.
By above-mentioned content, it can be realized user after the completion of task and give a mark to the evaluation of goal task, and can be with
It saving and generates new mission bit stream, so that other users can refer to evaluation marking when selecting similar task, so that
Obtain the concrete condition that user more fully understands task to be selected.
Optionally, above-mentioned method further include:
312, according to the expense of mission bit stream objects of verification user.
313, the expense of target user is paid by bank's gateway to the account of target user.
By foregoing, the embodiment of the present invention can be realized after the completion of task and be paid on line, can be in this way enterprise
Industry and user provide safely and conveniently payment environment, offer convenience for user.
Below by the associated description in the embodiment based on the corresponding mission bit stream processing method of Fig. 3 to the embodiment of the present invention
A kind of mission bit stream processing unit provided is introduced.It is technical term relevant to above-described embodiment in following embodiment, general
The explanation of thought etc. is referred to the above embodiments, and which is not described herein again.
The embodiment of the present invention provides a kind of mission bit stream processing unit, as shown in figure 5, the mission bit stream processing unit 4 is wrapped
It includes: obtaining module 401, computing module 402 and output module 403, in which:
Module 401 is obtained, for obtaining the mission bit stream of goal task.
Wherein, above-mentioned goal task meets task location information and is within the scope of setting regions, and/or from setting position
Commuting time to task location information is less than or equal to threshold value.
Computing module 402, it is every for being calculated according to the mission bit stream of goal task and the user information of first object user
A goal task is matched with the similarity score of user information.
Output module 403 goal task and exports goal task list for sorting according to the size of similarity score.
Illustratively, above-mentioned user information includes but is not limited to the following contents: customer position information, and personal mark
Label, in which: personal label is used to describe the relevant information of user, such as: the age, gender, ID card No., registered address and
Working experience etc.；Personal label can be it is multiple or one, such as: label 1, label 2 ... ... label n.
Illustratively, above-mentioned mission bit stream includes but is not limited to the following contents: geographical location and task where task
Label, in which: task label is used to describe the relevant information of task, such as: task names, task duration, mission requirements and
Wages etc.；Task label can be it is multiple or one, such as: label 1, label 2 ... ... label n.
Illustratively, above-mentioned acquisition module 401, is specifically used for:
The mission bit stream of first task is obtained, the mission bit stream of first task includes the first task position letter of first task
Breath.
When first task location information is within the scope of setting regions, making goal task includes first task.
Illustratively, above-mentioned acquisition module 401, is specifically also used to:
The mission bit stream of first task is obtained, the mission bit stream of first task includes the first task position letter of first task
Breath.
Commuting time between from first task location information to setting position is less than threshold value, and making goal task includes first
Task.
Illustratively, above-mentioned acquisition module 401, is specifically also used to:
The first task information of first task is obtained, first task information includes the first task position letter of first task
Breath.
When first task location information is within the scope of setting regions and when from first task location information to setting position
Commuting time between setting is less than threshold value, and making goal task includes the first task.
Preferably, computing module 402 is specifically used for:
The task feature vector as composed by the weighted value of task location information and the weighted value of task label is obtained, and
Obtain the user characteristics vector as composed by the weighted value of customer position information and the weighted value of personal label.
The similarity score of each goal task and user information is calculated according to task feature vector and user characteristics vector.
Optionally, above-mentioned similarity score can be calculated using cosine similarity.It is further alternative, such as Fig. 6 institute
Show, above-mentioned mission bit stream processing unit 4 further include: initialization module 404 and training module 405, in which:
Initialization module 404, in each weighted value and task feature vector in initialising subscriber feature vector
Each weighted value.
Training module 405 carries out all weighted values for all weighted values after initialization to be input to neural network
Training.
It is further alternative, as shown in fig. 6, above-mentioned mission bit stream processing unit 4 further include: judgment module 406,
In:
Computing module 402 is also used to calculate the similarity between the first user and second user according to user characteristics vector
Score.
Judgment module 406, when the similarity score between first object user and the second target user is less than or equal to threshold
Value, judges first object user and the second target user similar users each other.
Output module 403, after being also used to detect that the second target user checks the operation of setting out of goal task information, to
Two target users are exported again to the goal task list with first object user.
It is further alternative:
Computing module 402 is also used to calculate the value score of each goal task according to the mission bit stream of goal task.
Computing module 402 is also used to be matched with user information according to the value score and each goal task of goal task
Similarity score calculate goal task comprehensive score.
Output module 403 is also used to export goal task list according to the size of the comprehensive score of goal task.
It is further alternative, as shown in fig. 6, above-mentioned mission bit stream processing unit 4 further include: display module 407,
In:
Display module 407, after receiving the trigger action that task is completed, display evaluation marking interface.
Display module 407 is also used to receive the evaluation information of evaluation goal task, and in evaluation marking interface display evaluation
Information.
It is further alternative, as shown in fig. 6, above-mentioned mission bit stream processing unit 4 further include: expense validating module 408
And payment module 409, in which:
Expense validating module 408, for the expense according to mission bit stream objects of verification user.
Payment module 409, for being paid the expense of target user by bank's gateway to the account of target user.
The embodiment of the present invention provides a kind of computer readable storage medium, and computer-readable recording medium storage has in execution
The computer program of the method as described in Figure 3 of text description.
Illustratively, any usable medium that computer readable storage medium can be that computer can access either is wrapped
The data storage devices such as server, the data center integrated containing one or more usable mediums.The usable medium can be magnetism
Medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
Compared with the prior art, mission bit stream processing method and processing device provided by the invention, firstly, obtaining goal task
The geographic location of mission bit stream, the goal task is within the scope of setting regions, and/or from setting position to goal task
Geographic location between commuting time be less than or equal to threshold value；Then, according to the mission bit stream and use of the goal task
Family information calculates the similarity score of each goal task and user information；Finally, exporting mesh according to the size of similarity score
Mark task list.Since this programme realizes regional screening to goal task using geographical location, so that server
Or result the spent time that terminal returns is less, and matching accuracy is higher.
Through the above description of the embodiments, it is apparent to those skilled in the art that, for description
It is convenienct and succinct, only with the division of above-mentioned each functional module for example, in practical application, can according to need and by above-mentioned function
It can distribute and be completed by different functional modules, i.e., the internal structure of device is divided into different functional modules, more than completing
The all or part of function of description.The specific work process of the system, apparatus, and unit of foregoing description can refer to aforementioned side
Corresponding process in method embodiment, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the module or unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
More than, only a specific embodiment of the invention, but scope of protection of the present invention is not limited thereto, and it is any to be familiar with
Those skilled in the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all cover
Within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (10)
1. a kind of mission bit stream processing method, which is characterized in that the described method includes:
The user information of target user is obtained, the user information includes customer position information, and the target user meets setting
The customer position information is within the scope of setting regions in period and/or the target user meets in the setting period from institute
It states customer position information and reaches the commuting time of setting position less than or equal to threshold value；
Each target user, which is calculated, according to the mission bit stream of the user information of the target user and a goal task is matched with institute
State the similarity score of mission bit stream；And
It sorts according to the size of the similarity score and the target user and exports list of targeted subscribers.
2. the method according to claim 1, wherein the step of user information for obtaining target user, packet
It includes:
The first user information of the first user is obtained, first user information includes the first user location of first user
Information；And
When first customer position information wraps the target user within the scope of the setting regions in the setting period
Include first user.
3. the method according to claim 1, wherein the step of user information for obtaining target user, packet
It includes:
The first user information of the first user is obtained, the first user information includes the first user location letter of first user
Breath；And
When being less than or equal to threshold value from the commuting time that first customer position information reaches setting position in the setting period, make
The target user includes first user.
4. the method according to claim 1, wherein the step of user information for obtaining target user, packet
It includes:
The first user information of the first user is obtained, the first user information includes the first user location letter of first user
Breath；And
When first customer position information is being within the scope of the setting regions and when in the setting period in the setting period
The commuting time for reaching setting position from first customer position information is less than or equal to threshold value, makes the target user include
First user.
5. a kind of mission bit stream processing unit, which is characterized in that described device includes:
Module is obtained, for obtaining the user information of target user, the user information includes customer position information, the target
User meets that the customer position information is within the scope of setting regions in the setting period and/or the target user meets and sets
It is less than or equal to threshold value from the commuting time that the customer position information reaches setting position in fixed cycle；
Computing module, for calculating each target according to the user information of the target user and the mission bit stream of a goal task
User is matched with the similarity score of the mission bit stream；And
Output module for the size sequence target user according to the similarity score and exports list of targeted subscribers.
6. a kind of mission bit stream processing method, which is characterized in that the described method includes:
The mission bit stream of goal task is obtained, the mission bit stream includes task location information, and the goal task meets described
Task location information is within the scope of setting regions, and/or small to the commuting time of the task location information from setting position
In or equal to threshold value；
Each goal task is calculated according to the user information of the mission bit stream of the goal task and first object user to be matched with
The similarity score of the user information；And
According to the size of the similarity score sequence goal task and export goal task list.
7. according to the method described in claim 6, it is characterized in that, it is described obtain goal task mission bit stream the step of, packet
It includes:
The first task information of first task is obtained, the first task information includes the first task position of the first task
Information；And
When the first task location information is within the scope of setting regions, making the goal task includes the first task；
Alternatively, the step of mission bit stream for obtaining goal task, comprising:
The first task information of first task is obtained, the first task information includes the first task position of the first task
Information；And
When being less than threshold value from the first task location information to the commuting time setting position, the goal task is set to include
The first task.
8. according to the method described in claim 6, it is characterized in that, it is described obtain goal task mission bit stream the step of, packet
It includes:
The first task information of first task is obtained, the first task information includes the first task position of the first task
Information；And
When the first task location information is within the scope of setting regions and when from the first task location information to setting
Commuting time between positioning is set is less than threshold value, and making the goal task includes the first task.
9. a kind of mission bit stream processing unit, which is characterized in that described device includes:
Module is obtained, for obtaining the mission bit stream of goal task, the mission bit stream includes task location information, the target
Task meet the task location information be within the scope of setting regions and/or the goal task meet from setting position to
The commuting time of the task location information is less than or equal to threshold value；
Computing module, for calculating each target according to the mission bit stream of the goal task and the user information of a target user
Task is matched with the similarity score of the user information；And
Output module the goal task and exports goal task list for sorting according to the size of the similarity score.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has perform claim
It is required that the computer program of method described in any one of 1-4 or claim 6-8.
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