CN109584030A - Mechanism recommended method, device and storage medium - Google Patents
Mechanism recommended method, device and storage medium Download PDFInfo
- Publication number
- CN109584030A CN109584030A CN201811286801.3A CN201811286801A CN109584030A CN 109584030 A CN109584030 A CN 109584030A CN 201811286801 A CN201811286801 A CN 201811286801A CN 109584030 A CN109584030 A CN 109584030A
- Authority
- CN
- China
- Prior art keywords
- worksheet processing
- index
- strategy
- user
- default
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000007246 mechanism Effects 0.000 title claims abstract description 492
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000012545 processing Methods 0.000 claims abstract description 174
- 238000011156 evaluation Methods 0.000 claims abstract description 87
- 238000012163 sequencing technique Methods 0.000 claims description 12
- 238000012216 screening Methods 0.000 claims description 10
- 239000000284 extract Substances 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000012797 qualification Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention relates to big data processing, disclose a kind of mechanism recommended method, this method comprises: receiving the evaluation requirement that user proposes, the worksheet processing strategy of user's selection is obtained, determines worksheet processing rule, one or more mechanisms to be selected are filtered out from reset mechanism library, worksheet processing is carried out to one or more of mechanisms to be selected, and receives its corresponding feedback result, according to default menu rule, one or more of mechanisms to be selected determine target mechanism, and the target mechanism is recommended user.The present invention is also disclosed that a kind of electronic device and computer storage medium.Using the present invention, it can be achieved that the management to appraisal agency recommends optimal appraisal agency to be assessed according to the evaluation requirement of user.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of mechanism recommended methods, electronic device and computer
Readable storage medium storing program for executing.
Background technique
Currently, requiring assessment machine when to bank's application mortgage loan, purchase insurance or generation dispute
Structure carries out valuation for assessment target, for example, Brand Evaluation, assets assessment, Real Estate Appraisal, patent assessment etc., so as to
Assessment target value is understood in more accurate, and individual, bank, company etc. is helped to carry out corresponding decision.
However, appraisal agency is various, due to lacking data supporting and information asymmetry, appraisal agency can not be intuitively understood
The scope of business, professional ability etc., and then be difficult to and determine which appraisal agency is selected to cooperate within first time, be easy to lead
Cause incorrect decision.
Summary of the invention
In view of the foregoing, the present invention provides a kind of mechanism recommended method, electronic device and computer readable storage medium,
Main purpose is to realize the management to appraisal agency, according to the evaluation requirement of user, optimal appraisal agency is recommended to carry out
Assessment.
To achieve the above object, the present invention provides a kind of mechanism recommended method, this method comprises:
S1, the evaluation requirement that user proposes is received, obtains the worksheet processing strategy that user selects in the evaluation requirement；
S2, according to the worksheet processing strategy corresponding worksheet processing rule, filtered out from reset mechanism library one or more to be selected
Mechanism carries out worksheet processing to one or more of mechanisms to be selected, and receives the feedback result of one or more of mechanisms to be selected；
S3, when there is only a mechanism to be selected, using the mechanism to be selected as target mechanism, when there are multiple mechanisms to be selected
When, according to default menu rule, calculate the comprehensive score of each mechanism to be selected, select the highest mechanism to be selected of comprehensive score as
Target mechanism；And
S4, the target mechanism is recommended into user.
In addition, the device includes: memory, processor the present invention also provides a kind of electronic device, deposited on the memory
Containing the mechanism recommended program that can be run on the processor can when the mechanism recommended program is executed by the processor
Realize the arbitrary steps in mechanism recommended method as described above.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
It include mechanism recommended program in storage medium, it can be achieved that mechanism as described above when the mechanism recommended program is executed by processor
Arbitrary steps in recommended method.
Mechanism recommended method, electronic device and computer readable storage medium proposed by the present invention, mention receiving user
After evaluation requirement out, according to the worksheet processing strategy that user selects, one or more mechanisms to be selected are filtered out from reset mechanism library
Worksheet processing is carried out, and receives its corresponding feedback result；When only one mechanism to be selected, using the mechanism to be selected as target machine
Structure calculates the comprehensive score of each mechanism to be selected when there is multiple mechanisms to be selected, and the highest mechanism to be selected of comprehensive score is selected to make
For target mechanism；The target mechanism is finally recommended into user and carries out formal evaluation.There is provided a variety of worksheet processing strategies for user from
Row selection, mechanism to be selected is filtered out from mechanism database first and enters the menu stage, then according to user selection menu strategy and
The feedback result of mechanism to be selected calculates the comprehensive score of each mechanism to be selected, selects the highest mechanism of comprehensive score as target machine
Structure recommends user, realizes the management to mechanism, improves the efficiency of mechanism recommendation.
Detailed description of the invention
Fig. 1 is the flow chart of mechanism recommended method preferred embodiment of the present invention；
Fig. 2 is the schematic diagram of electronic device preferred embodiment of the present invention；
Fig. 3 is the program module schematic diagram of Tu2Zhong mechanism recommended program.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of mechanism recommended method.It is mechanism recommended method preferred embodiment of the present invention shown in referring to Fig.1
Flow chart.This method can be executed by a device, which can be by software and or hardware realization.
In the present embodiment, mechanism recommended method includes step S1-S4:
S1, the evaluation requirement that user proposes is received, obtains the worksheet processing strategy that user selects in the evaluation requirement；
It include: the worksheet processing strategy and choosing for assessing target relevant information, user for evaluation requirement selection in evaluation requirement
Single strategy.
Above-mentioned assessment target relevant information includes: the information such as assessment target title, location information, type of service.Above-mentioned industry
Service type refers to the assessment affiliated type of target, for example, soil, house property etc..
Specifically, user is during selecting worksheet processing strategy, need to consider evaluation target evaluation requirement, and according to commenting
Estimate demand and selects the corresponding worksheet processing strategy of evaluation demand from preset worksheet processing strategy.
Above-mentioned preset worksheet processing strategy includes at least: efficiency comes first type worksheet processing strategy, poll type worksheet processing strategy, customized type
Worksheet processing strategy, in which:
Efficiency comes first type worksheet processing strategy: it is suitable for that the higher retail trade of efficiency requirements, such as bank are sold a line, put down
The specialized companies such as An Puhui；
Poll type worksheet processing strategy: it is suitable for most of business；
Customized type worksheet processing strategy: be suitable for single business scale it is larger, to assessment the higher service class of accuracy requirement
Type, such as bank is to specialized companies such as public line, trusts.
Different worksheet processing strategies corresponds to different worksheet processing rules.
S2, according to the worksheet processing strategy corresponding worksheet processing rule, filtered out from reset mechanism library one or more to be selected
Mechanism carries out worksheet processing to one or more of mechanisms to be selected, and receives the feedback result of one or more of mechanisms to be selected；
Said one or multiple mechanisms to be selected are the appraisal agency by preliminary screening laggard selected single phase.Described in thinking
During one or more mechanisms to be selected carry out worksheet processing, assessment target specifying information is sent to above-mentioned mechanism to be selected together,
It is assessed and is offered for mechanism to be selected.
Specifically, described in step S2 " according to the worksheet processing strategy corresponding worksheet processing rule, is sieved from reset mechanism library
Select one or more mechanisms to be selected " the following steps are included:
A1, when user's efficiency of selection type of priority worksheet processing strategy, to reset mechanism Ku Zhongge mechanism worksheet processing, will feed back at first
N number of mechanism as mechanism to be selected；
A2, when user select poll type worksheet processing strategy when, according to reset mechanism Ku Zhong mechanism list sequencing carry out
Worksheet processing determines the corresponding mechanism to be selected of the evaluation requirement；And
A3, when user select customized type worksheet processing strategy when, according to default screening rule, filtered out from reset mechanism library
M mechanism is as mechanism to be selected.
It include the appraisal agency of the corresponding all access states of above-mentioned evaluation requirement in above-mentioned reset mechanism library, that is, access
Mechanism database.For example, being proposed by taking bank A as an example when above-mentioned evaluation requirement for bank, and bank A has its corresponding access mechanism
Library, at this point, reset mechanism library is the corresponding access mechanism database of bank A, it is assumed that when bank A does not have corresponding access mechanism database, in advance
It can also be all mechanism set on the regular payroll in system if mechanism database can be the set of the access mechanism database of all banks.
When user's efficiency of selection type of priority worksheet processing strategy, if having received the feedback result to N number of mechanism, for anti-later
The mechanism of feedback generates prompt information, for example, " mechanism of feedback has exceeded preset threshold, and it is invalid this time to feed back " etc..
When user's poll type worksheet processing strategy, if reset mechanism Ku Zhongge mechanism be ordered as A, B ..., C, D, E, root
According to polling mechanism, when often receiving evaluation requirement, according to a sequencing successively mechanism worksheet processing into reset mechanism library,
That is if when receiving a historical evaluation demand before evaluation demand, by the historical evaluation demand worksheet processing
Mechanism C is given, then, evaluation demand answers worksheet processing to give mechanism D, and so on.
It should be noted that for poll type worksheet processing strategy, the list Zhong Ge mechanism, mechanism in the reset mechanism library
Sequencing can according to it is default when interior (for example, the first quarter/first half of the year) scoring sequence determine that (calculating of scoring walks
Suddenly it is described below), randomly ordered determination can also be passed through.It is right every preset time for the fairness for guaranteeing worksheet processing
The sequencing of reset mechanism Ku Zhong mechanism list is adjusted, for example, recalculating every in reset mechanism library every the first quarter
The scoring of one mechanism is adjusted, alternatively, to default machine according to mechanism list of the sequence of scoring to Notified body library
Mechanism in structure library upsets at random, redefines the sequencing of list Zhong Ge mechanism, mechanism.
When user selects customized type worksheet processing strategy, user need to determine worksheet processing quantity, that is, need to determine from reset mechanism library
In the quantity M of mechanism to be selected that filters out.
Wherein, N, M are positive integer, and the size that user can adjust N, M according to demand can be adjusted according to demand setting by user,
It can also be arranged by system default.
As an implementation, described in step a3 " according to default screening rule, filters out from reset mechanism library
M mechanism is as mechanism to be selected " the following steps are included:
B1, assessment target location information is obtained from the evaluation requirement, filter out service range from reset mechanism library
Mechanism comprising the assessment target location information, as the first mechanism to be selected；
B2, assessment target type of service is obtained from the evaluation requirement, filter out service class from the first mechanism to be selected
Type includes the mechanism of the assessment target type of service as the second mechanism to be selected；And
B3, the corresponding worksheet processing rate of each second mechanism to be selected is calculated, according to the group of each second mechanism to be selected
Single rate filters out M the second mechanisms to be selected as mechanism to be selected in a manner of randomly selecting.
Above-mentioned first, second just to distinguishing the mechanism to be selected that step b1, b2 filters out.
Specifically, type of service includes: Land Appraisal, assets assessment etc., if the assessment target in above-mentioned evaluation requirement
For Land Appraisal, then the mechanism to be selected with Land Appraisal qualification need to be filtered out from the first mechanism to be selected.
The purpose of above-mentioned steps is, filters out request Tong Cheng, the second mechanism to be selected with type of service with assessment first,
Then corresponding worksheet processing rate is calculated according to the history scoring of each second mechanism to be selected within a certain period of time, finally according to worksheet processing
Rate filters out M mechanism as mechanism to be selected from the second mechanism to be selected at random.Being directed to for worksheet processing is improved through the above steps
Property, help to improve further evaluation efficiency.
As an implementation, " calculating the corresponding worksheet processing rate of each second mechanism to be selected " packet in step b3
It includes:
C1, the historical data of each second mechanism to be selected within a preset time is obtained, extracts each described the respectively
The actual value of the corresponding each default two-level index of each default first class index of two mechanisms to be selected, calculates each default second level and refers to
The scoring of target index；
C2, it is scored according to the index of each default two-level index, calculates the index scoring of each default first class index；
C3, it is scored according to the index of each default first class index, calculates the scoring of each second mechanism to be selected；And
C4, rule is adjusted according to scoring and preset worksheet processing rate, determines the corresponding worksheet processing of each second mechanism to be selected
Rate.
Specifically, history of above-mentioned each second mechanism to be selected within preset time (for example, the first quarter/half a year)
Data include: the basic condition of each second mechanism to be selected (for example, branch's quantity, assessment coverage rate, the length of service, industry
Ranking, qualification grade etc.), cooperation (for example, cooperation duration, complain accounting etc.), feedback speed (inquiry feedback duration etc.),
Accuracy and authenticity (application reappraises ratio, valuation virtual height number, formal evaluation value irrelevance etc.).
In the scoring process for calculating each second mechanism to be selected, the default level-one that is extracted from above-mentioned historical data
Index includes: basic condition, cooperation, feedback speed, accuracy and the authenticity of appraisal agency, in a preferred embodiment
In, the corresponding default weight of above-mentioned each default first class index are as follows: 24.92%, 6.14%, 20.18%, 48.77%.
Each corresponding default two-level index of default first class index, by taking " accuracy and authenticity " this first class index as an example,
The corresponding two-level index of the first class index includes: that application reappraises ratio, worksheet processing price and Pre-Evaluation result difference rate, valuation
Virtual height number, inquiry irrelevance, formal evaluation value irrelevance, the corresponding default weight of above-mentioned each default two-level index are as follows:
5.78%, 10.31%, 6.97%, 10.48%, 15.22%.
It should be noted that above-mentioned first index and corresponding second index of each first index and each index is default
Weight can be customized by users setting, can also be arranged by system default.
By taking " formal evaluation value irrelevance " this two-level index as an example, the index scoring formula of the two-level index are as follows:
Wherein, f (x) is the index score of two-level index x, and m, n are predetermined constant.
By taking " accuracy and authenticity " this first class index as an example, the index scoring formula of the first class index are as follows:
G (y)=∑ ωx*f(x)
Wherein, g (y) is the index score of first class index y, and f (x) is the index of the corresponding two-level index x of first class index y
Score, ωxFor the corresponding default weight of two-level index x.
As an implementation, the calculation formula of the scoring of each second mechanism to be selected are as follows:
P=∑ g (y)
Wherein, P is the scoring of the second mechanism to be selected, and g (y) is the index of each default first class index of the second mechanism to be selected
Score.
These parameters scoring formula can be set as needed, however it is not limited to the content of the example above.
It is understood that the scoring height of each second mechanism to be selected has an impact to worksheet processing rate.It scores higher, illustrates machine
The comprehensive strength of structure is stronger, conversely, scoring is lower, the comprehensive strength of mechanism is weaker.Therefore, for higher/lower comment of scoring
Estimate mechanism, worksheet processing rate can increase/reduction on the basis of initial worksheet processing rate.
Industry experience rule are as follows: it is scored above 85 points of mechanism, worksheet processing rate increases by 20% on the basis of initial worksheet processing rate,
Scoring is lower than 60 points of mechanism, then worksheet processing rate reduces 30% on the basis of initial worksheet processing rate.
Wherein, the initial worksheet processing rate of each second mechanism to be selected is identical, and the impact factor for influencing initial worksheet processing rate includes: worksheet processing
Mechanism total quantity in quantity and reset mechanism library.
After determining the corresponding one or more of evaluation requirement mechanism to be selected through the above steps and carrying out worksheet processing, receive to
Select the feedback result of mechanism.Above-mentioned feedback result includes: estimated value and assessment expense.
Above-mentioned estimated value refers to that assessment target value, assessment expense refer to that assessment target is commented by appraisal agency
Estimate fee charged.
S3, when there is only a mechanism to be selected, using the mechanism to be selected as target mechanism, when there are multiple mechanisms to be selected
When, according to default menu rule, calculate the comprehensive score of each mechanism to be selected, select the highest mechanism to be selected of comprehensive score as
Target mechanism；And
S4, the target mechanism is recommended into user.
It should be noted that when only existing a mechanism to be selected, it is directly that this is to be selected without executing subsequent menu processing
Mechanism is as target mechanism.For example, worksheet processing only tasks a mechanism in poll worksheet processing strategy, directly formally commented by the mechanism
Estimate.
When there are multiple mechanisms to be selected, then need to carry out menu according to preset menu rule, specifically, in step S3
" according to default menu rule, calculate the comprehensive score of each mechanism to be selected, select the highest mechanism to be selected of comprehensive score as
Target mechanism " includes:
D1, the preference strategy for obtaining each menu index in the menu strategy；
Each menu index is divided at a distance from the preference strategy in d2, the feedback result according to the multiple mechanism to be selected
The index score of each menu index of the multiple mechanism to be selected is not calculated, and calculates the comprehensive score of the mechanism to be selected；And
D3, select the highest mechanism of comprehensive score as target mechanism from mechanism to be selected.
Specifically, user is during selecting menu strategy, need to consider evaluation target evaluation requirement, and according to commenting
Estimate demand and determines menu strategy.Above-mentioned menu strategy includes: the default weight of each menu index, preference strategy.
In the present embodiment, menu index includes: estimated value, assessment expense, and the preference strategy of each menu index includes:
Estimated value preference strategy, assessment expense preference strategy.
It should be noted that the value bore that different objects use when commencing business is different for estimated value
Sample, some net value, some market values, therefore, user also need to be selected according to demand based on " estimated value-market price
Value " or " estimated value-assessment net value " carry out menu.
The preference strategy of above-mentioned estimated value includes: preference evaluation value the lowest, preference closest to estimated value mean value
Person, preference evaluation are worth soprano.When the preference strategy of estimated value be preference closest to estimated value mean value person when, it is also necessary to
Calculate the mean value of the estimated value of each mechanism feedback to be selected.
Above-mentioned assessment expense preference strategy includes: one of preference evaluation network minimal.
Estimated value and the corresponding default weight of assessment expense need to be adjusted according to the actual situation, for example, working as survey fee
When with being lower than preset threshold (for example, 50,000 RMB), default weight ratio be may be configured as: 85%:15%, when assessment expense is more than
When preset threshold (for example, 50,000 RMB), weight shared by assessment expense should be not less than 50%.
As an implementation, the calculation formula of the index score of this menu index of above-mentioned estimated value are as follows:
Wherein, Y (i) is the score of estimated value, and i is the estimated value of each mechanism feedback to be selected, iminIt is each to be selected
Closest to the estimated value of preference strategy, i in the estimated value of mechanism feedbackmaxFor the estimated value of each mechanism feedback to be selected
In farthest away from preference strategy estimated value.
The calculation formula of the index score of this menu index of above-mentioned estimated value can be set as needed, however it is not limited on
State the content of citing.The calculation formula of the index score of above-mentioned this menu index of assessment expense can refer to above-mentioned estimated value
The calculation formula of score.
As an implementation, the calculation formula of the comprehensive score of above-mentioned mechanism to be selected are as follows:
Q=α * Y (i)+β * Y (j)
Wherein, Q is the comprehensive score of mechanism to be selected, and α is the default weight of estimated value, and Y (i) is obtaining for estimated value
Point, β be assessment expense default weight, Y (j) be assessment expense score, α and β's and be 1.
By inquiring the price to more mechanisms, according to inquiry as a result, after calculating the comprehensive score of each mechanism to be selected, according to
The sequence of comprehensive score is ranked up mechanism to be selected, and the forward mechanism to be selected of selected and sorted is as target mechanism, that is, comprehensive
The mechanism to be selected acceptance of the bid for closing highest scoring carries out formal evaluation to assessment target by target mechanism.
In other embodiments, this method further include:
The negative information for obtaining reset mechanism Ku Zhongge mechanism in real time or periodically is shown each in the predeterminable area of the display page
The negative information of mechanism.
Specifically, when getting the negative information of each mechanism, according to the acquisition time of the negative information of each mechanism, with rolling
Dynamic form successively shows each negative information.
The mechanism recommended method that above-described embodiment proposes is selected after the evaluation requirement for receiving user's proposition according to user
The worksheet processing strategy selected filters out one or more mechanisms to be selected from reset mechanism library and carries out worksheet processing, and it is corresponding anti-to receive its
Present result；When only one mechanism to be selected, using the mechanism to be selected as target mechanism, when there are multiple mechanisms to be selected, calculate
The comprehensive score of each mechanism to be selected selects the highest mechanism to be selected of comprehensive score as target mechanism；Finally by the target
Mechanism recommends user and carries out formal evaluation.It provides a variety of worksheet processing strategies voluntarily to select for user, be screened from mechanism database first
Mechanism to be selected enters the menu stage out, then according to the menu strategy of user's selection and the feedback result of mechanism to be selected, calculates each
The comprehensive score of mechanism to be selected selects the highest mechanism of comprehensive score as target mechanism and recommends user, realizes to mechanism
Management, improve mechanism recommendation efficiency.
The present invention also provides a kind of electronic devices.Referring to shown in Fig. 2, for showing for 1 preferred embodiment of electronic device of the present invention
It is intended to.
In the present embodiment, electronic device 1 can be server, smart phone, tablet computer, portable computer, on table
The terminal device having data processing function such as type computer, the server can be rack-mount server, blade type service
Device, tower server or Cabinet-type server.
The electronic device 1 includes memory 11, processor 12 and network interface 13.
Wherein, memory 11 include at least a type of readable storage medium storing program for executing, the readable storage medium storing program for executing include flash memory,
Hard disk, multimedia card, card-type memory (for example, SD or DX memory etc.), magnetic storage, disk, CD etc..Memory 11
It can be the internal storage unit of the electronic device 1, such as the hard disk of the electronic device 1 in some embodiments.Memory
11 are also possible to be equipped on the External memory equipment of the electronic device 1, such as the electronic device 1 in further embodiments
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, memory 11 can also both including the electronic device 1 internal storage unit or
Including External memory equipment.
Memory 11 can be not only used for the application software and Various types of data that storage is installed on the electronic device 1, such as machine
Structure recommended program 10 etc. can be also used for temporarily storing the data that has exported or will export.
Processor 12 can be in some embodiments a central processing unit (Central Processing Unit,
CPU), controller, microcontroller, microprocessor or other data processing chips, the program for being stored in run memory 11
Code or processing data, such as mechanism recommended program 10 etc..
Network interface 13 optionally may include standard wireline interface and wireless interface (such as WI-FI interface), be commonly used in
Communication connection is established between the electronic device 1 and other electronic equipments.
Fig. 2 illustrates only the electronic device 1 with component 11-13, it will be appreciated by persons skilled in the art that Fig. 2 shows
Structure out does not constitute the restriction to electronic device 1, may include than illustrating less perhaps more components or combining certain
A little components or different component layouts.
Optionally, which can also include user interface, and user interface may include display
(Display), input unit such as keyboard (Keyboard), optional user interface can also include standard wireline interface,
Wireless interface.
Optionally, in some embodiments, display can be light-emitting diode display, liquid crystal display, touch control type LCD and show
Device and Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) touch device etc..Wherein, display
It is referred to as display screen or display unit, for showing the information handled in the electronic apparatus 1 and for showing visualization
User interface.
In 1 embodiment of electronic device shown in Fig. 2, as being stored in a kind of memory 11 of computer storage medium
The program code of mechanism recommended program 10 when the program code of 12 executing agency's recommended program 10 of processor, realizes following steps:
A1, the evaluation requirement that user proposes is received, obtains the worksheet processing strategy that user selects in the evaluation requirement；
It include: the worksheet processing strategy and choosing for assessing target relevant information, user for evaluation requirement selection in evaluation requirement
Single strategy.
Above-mentioned assessment target relevant information includes: the information such as assessment target title, location information, type of service.Above-mentioned industry
Service type refers to the assessment affiliated type of target, for example, soil, house property etc..
Specifically, user is during selecting worksheet processing strategy, need to consider evaluation target evaluation requirement, and according to commenting
Estimate demand and selects the corresponding worksheet processing strategy of evaluation demand from preset worksheet processing strategy.
Above-mentioned preset worksheet processing strategy includes at least: efficiency comes first type worksheet processing strategy, poll type worksheet processing strategy, customized type
Worksheet processing strategy, in which:
Efficiency comes first type worksheet processing strategy: it is suitable for that the higher retail trade of efficiency requirements, such as bank are sold a line, put down
The specialized companies such as An Puhui；
Poll type worksheet processing strategy: it is suitable for most of business；
Customized type worksheet processing strategy: be suitable for single business scale it is larger, to assessment the higher service class of accuracy requirement
Type, such as bank is to specialized companies such as public line, trusts.
Different worksheet processing strategies corresponds to different worksheet processing rules.
A2, according to the worksheet processing strategy corresponding worksheet processing rule, filtered out from reset mechanism library one or more to be selected
Mechanism carries out worksheet processing to one or more of mechanisms to be selected, and receives the feedback result of one or more of mechanisms to be selected；
Said one or multiple mechanisms to be selected are the appraisal agency by preliminary screening laggard selected single phase.Described in thinking
During one or more mechanisms to be selected carry out worksheet processing, assessment target specifying information is sent to above-mentioned mechanism to be selected together,
It is assessed and is offered for mechanism to be selected.
Specifically, described in step A2 " according to the worksheet processing strategy corresponding worksheet processing rule, is sieved from reset mechanism library
Select one or more mechanisms to be selected " the following steps are included:
A1, when user's efficiency of selection type of priority worksheet processing strategy, to reset mechanism Ku Zhongge mechanism worksheet processing, will feed back at first
N number of mechanism as mechanism to be selected；
A2, when user select poll type worksheet processing strategy when, according to reset mechanism Ku Zhong mechanism list sequencing carry out
Worksheet processing determines the corresponding mechanism to be selected of the evaluation requirement；And
A3, when user select customized type worksheet processing strategy when, according to default screening rule, filtered out from reset mechanism library
M mechanism is as mechanism to be selected.
It include the appraisal agency of the corresponding all access states of above-mentioned evaluation requirement in above-mentioned reset mechanism library, that is, access
Mechanism database.For example, being proposed by taking bank A as an example when above-mentioned evaluation requirement for bank, and bank A has its corresponding access mechanism
Library, at this point, reset mechanism library is the corresponding access mechanism database of bank A, it is assumed that when bank A does not have corresponding access mechanism database, in advance
It can also be all mechanism set on the regular payroll in system if mechanism database can be the set of the access mechanism database of all banks.
When user's efficiency of selection type of priority worksheet processing strategy, if having received the feedback result to N number of mechanism, for anti-later
The mechanism of feedback generates prompt information, for example, " mechanism of feedback has exceeded preset threshold, and it is invalid this time to feed back " etc..
When user's poll type worksheet processing strategy, if reset mechanism Ku Zhongge mechanism be ordered as A, B ..., C, D, E, root
According to polling mechanism, when often receiving evaluation requirement, according to a sequencing successively mechanism worksheet processing into reset mechanism library,
That is if when receiving a historical evaluation demand before evaluation demand, by the historical evaluation demand worksheet processing
Mechanism C is given, then, evaluation demand answers worksheet processing to give mechanism D, and so on.
It should be noted that for poll type worksheet processing strategy, the list Zhong Ge mechanism, mechanism in the reset mechanism library
Sequencing can according to it is default when interior (for example, the first quarter/first half of the year) scoring sequence determine that (calculating of scoring walks
Suddenly it is described below), randomly ordered determination can also be passed through.It is right every preset time for the fairness for guaranteeing worksheet processing
The sequencing of reset mechanism Ku Zhong mechanism list is adjusted, for example, recalculating every in reset mechanism library every the first quarter
The scoring of one mechanism is adjusted, alternatively, to default machine according to mechanism list of the sequence of scoring to Notified body library
Mechanism in structure library upsets at random, redefines the sequencing of list Zhong Ge mechanism, mechanism.
When user selects customized type worksheet processing strategy, user need to determine worksheet processing quantity, that is, need to determine from reset mechanism library
In the quantity M of mechanism to be selected that filters out.
Wherein, N, M are positive integer, and the size that user can adjust N, M according to demand can be adjusted according to demand setting by user,
It can also be arranged by system default.
As an implementation, described in step a3 " according to default screening rule, filters out from reset mechanism library
M mechanism is as mechanism to be selected " the following steps are included:
B1, assessment target location information is obtained from the evaluation requirement, filter out service range from reset mechanism library
Mechanism comprising the assessment target location information, as the first mechanism to be selected；
B2, assessment target type of service is obtained from the evaluation requirement, filter out service class from the first mechanism to be selected
Type includes the mechanism of the assessment target type of service as the second mechanism to be selected；And
B3, the corresponding worksheet processing rate of each second mechanism to be selected is calculated, according to the group of each second mechanism to be selected
Single rate filters out M the second mechanisms to be selected as mechanism to be selected in a manner of randomly selecting.
Above-mentioned first, second just to distinguishing the mechanism to be selected that step b1, b2 filters out.
Specifically, type of service includes: Land Appraisal, assets assessment etc., if the assessment target in above-mentioned evaluation requirement
For Land Appraisal, then the mechanism to be selected with Land Appraisal qualification need to be filtered out from the first mechanism to be selected.
The purpose of above-mentioned steps is, filters out request Tong Cheng, the second mechanism to be selected with type of service with assessment first,
Then corresponding worksheet processing rate is calculated according to the history scoring of each second mechanism to be selected within a certain period of time, finally according to worksheet processing
Rate filters out M mechanism as mechanism to be selected from the second mechanism to be selected at random.Being directed to for worksheet processing is improved through the above steps
Property, help to improve further evaluation efficiency.
As an implementation, " the calculating the corresponding worksheet processing rate of each second mechanism to be selected " in step b3 passes through
Following steps determine:
C1, the historical data of each second mechanism to be selected within a preset time is obtained, extracts each described the respectively
The actual value of the corresponding each default two-level index of each default first class index of two mechanisms to be selected, calculates each default second level and refers to
The scoring of target index；
C2, it is scored according to the index of each default two-level index, calculates the index scoring of each default first class index；
C3, it is scored according to the index of each default first class index, calculates the scoring of each second mechanism to be selected；And
C4, rule is adjusted according to scoring and preset worksheet processing rate, determines the corresponding worksheet processing of each second mechanism to be selected
Rate.
Specifically, history of above-mentioned each second mechanism to be selected within preset time (for example, the first quarter/half a year)
Data include: the basic condition of each second mechanism to be selected (for example, branch's quantity, assessment coverage rate, the length of service, industry
Ranking, qualification grade etc.), cooperation (for example, cooperation duration, complain accounting etc.), feedback speed (inquiry feedback duration etc.),
Accuracy and authenticity (application reappraises ratio, valuation virtual height number, formal evaluation value irrelevance etc.).
In the scoring process for calculating each second mechanism to be selected, the default level-one that is extracted from above-mentioned historical data
Index includes: basic condition, cooperation, feedback speed, accuracy and the authenticity of appraisal agency, in a preferred embodiment
In, the corresponding default weight of above-mentioned each default first class index are as follows: 24.92%, 6.14%, 20.18%, 48.77%.
Each corresponding default two-level index of default first class index, by taking " accuracy and authenticity " this first class index as an example,
The corresponding two-level index of the first class index includes: that application reappraises ratio, worksheet processing price and Pre-Evaluation result difference rate, valuation
Virtual height number, inquiry irrelevance, formal evaluation value irrelevance, the corresponding default weight of above-mentioned each default two-level index are as follows:
5.78%, 10.31%, 6.97%, 10.48%, 15.22%.
It should be noted that above-mentioned first index and corresponding second index of each first index and each index is default
Weight can be customized by users setting, can also be arranged by system default.
By taking " formal evaluation value irrelevance " this two-level index as an example, the index scoring formula of the two-level index are as follows:
Wherein, f (x) is the index score of two-level index x, and m, n are predetermined constant.
By taking " accuracy and authenticity " this first class index as an example, the index scoring formula of the first class index are as follows:
G (y)=∑ ωx*f(x)
Wherein, g (y) is the index score of first class index y, and f (x) is the index of the corresponding two-level index x of first class index y
Score, ωxFor the corresponding default weight of two-level index x.
As an implementation, the calculation formula of the scoring of each second mechanism to be selected are as follows:
P=∑ g (y)
Wherein, P is the scoring of the second mechanism to be selected, and g (y) is the index of each default first class index of the second mechanism to be selected
Score.
These parameters scoring formula can be set as needed, however it is not limited to the content of the example above.
It is understood that the scoring height of each second mechanism to be selected has an impact to worksheet processing rate.It scores higher, illustrates machine
The comprehensive strength of structure is stronger, conversely, scoring is lower, the comprehensive strength of mechanism is weaker.Therefore, for higher/lower comment of scoring
Estimate mechanism, worksheet processing rate can increase/reduction on the basis of initial worksheet processing rate.
Industry experience rule are as follows: it is scored above 85 points of mechanism, worksheet processing rate increases by 20% on the basis of initial worksheet processing rate,
Scoring is lower than 60 points of mechanism, then worksheet processing rate reduces 30% on the basis of initial worksheet processing rate.
Wherein, the initial worksheet processing rate of each second mechanism to be selected is identical, and the impact factor for influencing initial worksheet processing rate includes: worksheet processing
Mechanism total quantity in quantity and reset mechanism library.
After determining the corresponding one or more of evaluation requirement mechanism to be selected through the above steps and carrying out worksheet processing, receive to
Select the feedback result of mechanism.Above-mentioned feedback result includes: estimated value and assessment expense.
Above-mentioned estimated value refers to that assessment target value, assessment expense refer to that assessment target is commented by appraisal agency
Estimate fee charged.
A3, when there is only a mechanism to be selected, using the mechanism to be selected as target mechanism, when there are multiple mechanisms to be selected
When, according to default menu rule, calculate the comprehensive score of each mechanism to be selected, select the highest mechanism to be selected of comprehensive score as
Target mechanism；And
A4, the target mechanism is recommended into user.
It should be noted that when only existing a mechanism to be selected, it is directly that this is to be selected without executing subsequent menu processing
Mechanism is as target mechanism.For example, worksheet processing only tasks a mechanism in poll worksheet processing strategy, directly formally commented by the mechanism
Estimate.
When there are multiple mechanisms to be selected, then need to carry out menu according to preset menu rule, specifically, in step A3
" according to default menu rule, calculate the comprehensive score of each mechanism to be selected, select the highest mechanism to be selected of comprehensive score as
Target mechanism " includes:
D1, the preference strategy for obtaining each menu index in the menu strategy；
Each menu index is divided at a distance from the preference strategy in d2, the feedback result according to the multiple mechanism to be selected
The index score of each menu index of the multiple mechanism to be selected is not calculated, and calculates the comprehensive score of the mechanism to be selected；And
D3, select the highest mechanism of comprehensive score as target mechanism from mechanism to be selected.
Specifically, user is during selecting menu strategy, need to consider evaluation target evaluation requirement, and according to commenting
Estimate demand and determines menu strategy.Above-mentioned menu strategy includes: the default weight of each menu index, preference strategy.
In the present embodiment, menu index includes: estimated value, assessment expense, and the preference strategy of each menu index includes:
Estimated value preference strategy, assessment expense preference strategy.
It should be noted that the value bore that different objects use when commencing business is different for estimated value
Sample, some net value, some market values, therefore, user also need to be selected according to demand based on " estimated value-market price
Value " or " estimated value-assessment net value " carry out menu.
The preference strategy of above-mentioned estimated value includes: preference evaluation value the lowest, preference closest to estimated value mean value
Person, preference evaluation are worth soprano.When the preference strategy of estimated value be preference closest to estimated value mean value person when, it is also necessary to
Calculate the mean value of the estimated value of each mechanism feedback to be selected.
Above-mentioned assessment expense preference strategy includes: one of preference evaluation network minimal.
Estimated value and the corresponding default weight of assessment expense need to be adjusted according to the actual situation, for example, working as survey fee
When with being lower than preset threshold (for example, 50,000 RMB), default weight ratio be may be configured as: 85%:15%, when assessment expense is more than
When preset threshold (for example, 50,000 RMB), weight shared by assessment expense should be not less than 50%.
As an implementation, the calculation formula of the index score of this menu index of above-mentioned estimated value are as follows:
Wherein, Y (i) is the score of estimated value, and i is the estimated value of each mechanism feedback to be selected, iminIt is each to be selected
Closest to the estimated value of preference strategy, i in the estimated value of mechanism feedbackmaxFor the estimated value of each mechanism feedback to be selected
In farthest away from preference strategy estimated value.
The calculation formula of the index score of this menu index of above-mentioned estimated value can be set as needed, however it is not limited on
State the content of citing.The calculation formula of the index score of above-mentioned this menu index of assessment expense can refer to above-mentioned estimated value
The calculation formula of score.
As an implementation, the calculation formula of the comprehensive score of above-mentioned mechanism to be selected are as follows:
Q=α * Y (i)+β * Y (j)
Wherein, Q is the comprehensive score of mechanism to be selected, and α is the default weight of estimated value, and Y (i) is obtaining for estimated value
Point, β be assessment expense default weight, Y (j) be assessment expense score, α and β's and be 1.
By inquiring the price to more mechanisms, according to inquiry as a result, after calculating the comprehensive score of each mechanism to be selected, according to
The sequence of comprehensive score is ranked up mechanism to be selected, and the forward mechanism to be selected of selected and sorted is as target mechanism, that is, comprehensive
The mechanism to be selected acceptance of the bid for closing highest scoring carries out formal evaluation to assessment target by target mechanism.
In other embodiments, when the program code of 12 executing agency's recommended program 10 of processor, following steps are also realized:
The negative information for obtaining reset mechanism Ku Zhongge mechanism in real time or periodically is shown each in the predeterminable area of the display page
The negative information of mechanism.
Specifically, when getting the negative information of each mechanism, according to the acquisition time of the negative information of each mechanism, with rolling
Dynamic form successively shows each negative information.
The electronic device 1 that above-described embodiment proposes, after the evaluation requirement for receiving user's proposition, according to user's selection
Worksheet processing strategy filters out one or more mechanisms to be selected from reset mechanism library and carries out worksheet processing, and receives its corresponding feedback knot
Fruit；When only one mechanism to be selected, using the mechanism to be selected as target mechanism, when there are multiple mechanisms to be selected, calculate each
The comprehensive score of mechanism to be selected selects the highest mechanism to be selected of comprehensive score as target mechanism；Finally by the target mechanism
It recommends user and carries out formal evaluation.A variety of worksheet processing strategies are provided voluntarily to select for user, filtered out from mechanism database first to
It selects mechanism to enter the menu stage, then according to the menu strategy of user's selection and the feedback result of mechanism to be selected, calculates each to be selected
The comprehensive score of mechanism selects the highest mechanism of comprehensive score as target mechanism and recommends user, realizes the pipe to mechanism
Reason improves the efficiency of mechanism recommendation.
Optionally, in other examples, mechanism recommended program 10 can also be divided into one or more module,
One or more module is stored in memory 11, and by one or more processors (the present embodiment is processor 12)
Performed, to complete the present invention, the so-called module of the present invention is to refer to complete the series of computation machine program of specific function to refer to
Enable section.It is the module diagram of Tu2Zhong mechanism recommended program 10 for example, referring to shown in Fig. 3, in the embodiment, mechanism is recommended
Program 10 can be divided into receiving module 110, worksheet processing module 120, menu module 130 and recommending module 140, the module
The functions or operations step that 110-140 is realized is similar as above, and and will not be described here in detail, illustratively, such as wherein:
Receiving module 110 obtains the worksheet processing that user selects in the evaluation requirement for receiving the evaluation requirement of user's proposition
Strategy；
Worksheet processing module 120, for filtering out one from reset mechanism library according to the corresponding worksheet processing rule of the worksheet processing strategy
A or multiple mechanisms to be selected carry out worksheet processing to one or more of mechanisms to be selected, and receive one or more of machines to be selected
The feedback result of structure；
Menu module 130, for when there is only a mechanism to be selected, using the mechanism to be selected as target mechanism, when depositing
In multiple mechanisms to be selected, according to default menu rule, the comprehensive score of each mechanism to be selected is calculated, comprehensive score highest is selected
Mechanism to be selected as target mechanism；And
Recommending module 140, for the target mechanism to be recommended user.
In addition, the embodiment of the present invention also proposes a kind of computer readable storage medium, the computer readable storage medium
In include mechanism recommended program 10, following operation is realized when the mechanism recommended program 10 is executed by processor:
A1, the evaluation requirement that user proposes is received, obtains the worksheet processing strategy that user selects in the evaluation requirement；
A2, according to the worksheet processing strategy corresponding worksheet processing rule, filtered out from reset mechanism library one or more to be selected
Mechanism carries out worksheet processing to one or more of mechanisms to be selected, and receives the feedback result of one or more of mechanisms to be selected；
A3, when there is only a mechanism to be selected, using the mechanism to be selected as target mechanism, when there are multiple mechanisms to be selected
When, according to default menu rule, calculate the comprehensive score of each mechanism to be selected, select the highest mechanism to be selected of comprehensive score as
Target mechanism；And
A4, the target mechanism is recommended into user.
The specific implementation of the specific embodiment and said mechanism recommended method of the computer readable storage medium of the present invention
Mode is roughly the same, and details are not described herein.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, device, article or the method that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, device, article or method institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, device of element, article or method.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of mechanism recommended method is applied to electronic device, which is characterized in that the described method includes:
S1, the evaluation requirement that user proposes is received, obtains the worksheet processing strategy that user selects in the evaluation requirement；
S2, according to the worksheet processing strategy corresponding worksheet processing rule, one or more mechanisms to be selected are filtered out from reset mechanism library,
Worksheet processing is carried out to one or more of mechanisms to be selected, and receives the feedback result of one or more of mechanisms to be selected；And
S3, when there is only a mechanism to be selected, using the mechanism to be selected as target mechanism, when there are multiple mechanisms to be selected,
According to default menu rule, the comprehensive score of each mechanism to be selected is calculated, selects the highest mechanism to be selected of comprehensive score as mesh
Mark mechanism；And
S4, the target mechanism is recommended into user.
2. mechanism recommended method according to claim 1, which is characterized in that described " according to the worksheet processing in step S2
The corresponding worksheet processing rule of strategy, filters out one or more mechanisms to be selected from reset mechanism library " the following steps are included:
A1, when user's efficiency of selection type of priority worksheet processing strategy, to reset mechanism Ku Zhongge mechanism worksheet processing, the N that will be fed back at first
A mechanism is as mechanism to be selected, wherein N is positive integer；
A2, when user select poll type worksheet processing strategy when, according to reset mechanism Ku Zhong mechanism list sequencing carry out worksheet processing,
Determine the corresponding mechanism to be selected of the evaluation requirement；And
A3, when user selects customized type worksheet processing strategy, according to default screening rule, M are filtered out from reset mechanism library
Mechanism is as mechanism to be selected, wherein M is positive integer.
3. mechanism recommended method according to claim 1, which is characterized in that described " according to default screening in step a3
Rule filters out M mechanism as mechanism to be selected from reset mechanism library " the following steps are included:
B1, assessment target location information is obtained from the evaluation requirement, filtering out service range from reset mechanism library includes
The mechanism of the assessment target location information, as the first mechanism to be selected；
B2, assessment target type of service is obtained from the evaluation requirement, filter out type of service packet from the first mechanism to be selected
Mechanism containing the assessment target type of service is as the second mechanism to be selected；And
B3, the worksheet processing rate for calculating each second mechanism to be selected, according to the worksheet processing rate of each second mechanism to be selected, with
The mode that machine extracts filters out M the second mechanisms to be selected as mechanism to be selected.
4. mechanism recommended method according to claim 3, which is characterized in that described in step b3 " calculates each described
The corresponding worksheet processing rate of second mechanism to be selected " includes:
C1, obtain the historical data of each second mechanism to be selected within a preset time, extract respectively each described second to
The actual value for selecting the corresponding each default two-level index of each default first class index of mechanism, calculates each default two-level index
Index scoring；
C2, it is scored according to the index of each default two-level index, calculates the index scoring of each default first class index；
C3, it is scored according to the index of each default first class index, calculates the scoring of each second mechanism to be selected；And
C4, rule is adjusted according to scoring and preset worksheet processing rate, determines the corresponding worksheet processing rate of each second mechanism to be selected.
5. mechanism recommended method according to claim 3, which is characterized in that further include user's selection in the evaluation requirement
Menu strategy, " according to default menu rule, calculating the comprehensive score of each mechanism to be selected, selecting comprehensive in the step S3
The mechanism to be selected of highest scoring is closed as target mechanism " include:
D1, the preference strategy for obtaining each menu index in the menu strategy；
Each menu index is counted respectively at a distance from the preference strategy in d2, the feedback result according to the multiple mechanism to be selected
The index score of each menu index of the multiple mechanism to be selected is calculated, and calculates the comprehensive score of the mechanism to be selected；And
D3, select the highest mechanism of comprehensive score as target mechanism from mechanism to be selected.
6. mechanism recommended method as claimed in any of claims 1 to 5, which is characterized in that this method further include:
The negative information for obtaining reset mechanism Ku Zhongge mechanism in real time or periodically shows each mechanism in the predeterminable area of the display page
Negative information.
7. a kind of electronic device, which is characterized in that the device includes: memory, processor, and being stored on the memory can be
The mechanism recommended program run on the processor, it can be achieved that as follows when the mechanism recommended program is executed by the processor
Step:
A1, the evaluation requirement that user proposes is received, obtains the worksheet processing strategy that user selects in the evaluation requirement；
A2, according to the worksheet processing strategy corresponding worksheet processing rule, one or more mechanisms to be selected are filtered out from reset mechanism library,
Worksheet processing is carried out to one or more of mechanisms to be selected, and receives the feedback result of one or more of mechanisms to be selected；
A3, when there is only a mechanism to be selected, using the mechanism to be selected as target mechanism, when there are multiple mechanisms to be selected,
According to default menu rule, the comprehensive score of each mechanism to be selected is calculated, selects the highest mechanism to be selected of comprehensive score as mesh
Mark mechanism；And
A4, the target mechanism is recommended into user.
8. electronic device according to claim 7, which is characterized in that described " according to the worksheet processing strategy in step A2
Corresponding worksheet processing rule, filters out one or more mechanisms to be selected from reset mechanism library " the following steps are included:
A1, when user's efficiency of selection type of priority worksheet processing strategy, to reset mechanism Ku Zhongge mechanism worksheet processing, the N that will be fed back at first
A mechanism is as mechanism to be selected；
A2, when user select poll type worksheet processing strategy when, according to reset mechanism Ku Zhong mechanism list sequencing carry out worksheet processing,
Determine the corresponding mechanism to be selected of the evaluation requirement；And
A3, when user selects customized type worksheet processing strategy, according to default screening rule, M are filtered out from reset mechanism library
Mechanism is as mechanism to be selected.
9. electronic device according to claim 8, which is characterized in that in step a3 it is described " according to default screening rule,
M mechanism is filtered out from reset mechanism library as mechanism to be selected " the following steps are included:
B1, assessment target location information is obtained from the evaluation requirement, filtering out service range from reset mechanism library includes
The mechanism of the assessment target location information, as the first mechanism to be selected；
B2, assessment target type of service is obtained from the evaluation requirement, filter out type of service packet from the first mechanism to be selected
Mechanism containing the assessment target type of service is as the second mechanism to be selected；And
B3, the worksheet processing rate for calculating each second mechanism to be selected, according to the worksheet processing rate of each second mechanism to be selected, with
The mode that machine extracts filters out M the second mechanisms to be selected as mechanism to be selected.
10. a kind of computer readable storage medium, which is characterized in that include that mechanism is recommended in the computer readable storage medium
Program, it can be achieved that mechanism as described in any one of claim 1 to 6 when the mechanism recommended program is executed by processor
The step of recommended method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811286801.3A CN109584030A (en) | 2018-10-31 | 2018-10-31 | Mechanism recommended method, device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811286801.3A CN109584030A (en) | 2018-10-31 | 2018-10-31 | Mechanism recommended method, device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109584030A true CN109584030A (en) | 2019-04-05 |
Family
ID=65920994
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811286801.3A Pending CN109584030A (en) | 2018-10-31 | 2018-10-31 | Mechanism recommended method, device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109584030A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119979A (en) * | 2019-04-12 | 2019-08-13 | 深圳壹账通智能科技有限公司 | House property assessment system recommended method, device and server based on data analysis |
| CN110147984A (en) * | 2019-04-28 | 2019-08-20 | 中国银行股份有限公司 | A kind of business transmission target processing method and processing device |
| CN110197434A (en) * | 2019-05-21 | 2019-09-03 | 深圳前海微众银行股份有限公司 | Intelligent Matching processing method, device, equipment and readable storage medium storing program for executing |
| CN110400176A (en) * | 2019-07-26 | 2019-11-01 | 中国工商银行股份有限公司 | Security estimation method and device |
| CN110443452A (en) * | 2019-07-03 | 2019-11-12 | 平安城市建设科技(深圳)有限公司 | Information-pushing method, user equipment, storage medium and device |
| CN112184302A (en) * | 2020-09-25 | 2021-01-05 | 中国建设银行股份有限公司 | Product recommendation method and device, rule engine and storage medium |
| CN117474426A (en) * | 2023-12-27 | 2024-01-30 | 四川丝路易购科技有限公司 | Block chain-based trade supply chain recommendation method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169029A (en) * | 2017-04-13 | 2017-09-15 | 深圳大学 | One kind recommends method and device |
| CN107977905A (en) * | 2017-12-21 | 2018-05-01 | 泰康保险集团股份有限公司 | Matching process, device, medium and the electronic equipment of demand for services |
| CN108415921A (en) * | 2017-09-25 | 2018-08-17 | 平安科技（深圳）有限公司 | Supplier recommends method, apparatus and computer readable storage medium |
-
2018
- 2018-10-31 CN CN201811286801.3A patent/CN109584030A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169029A (en) * | 2017-04-13 | 2017-09-15 | 深圳大学 | One kind recommends method and device |
| CN108415921A (en) * | 2017-09-25 | 2018-08-17 | 平安科技（深圳）有限公司 | Supplier recommends method, apparatus and computer readable storage medium |
| CN107977905A (en) * | 2017-12-21 | 2018-05-01 | 泰康保险集团股份有限公司 | Matching process, device, medium and the electronic equipment of demand for services |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119979A (en) * | 2019-04-12 | 2019-08-13 | 深圳壹账通智能科技有限公司 | House property assessment system recommended method, device and server based on data analysis |
| CN110147984A (en) * | 2019-04-28 | 2019-08-20 | 中国银行股份有限公司 | A kind of business transmission target processing method and processing device |
| CN110147984B (en) * | 2019-04-28 | 2022-04-29 | 中国银行股份有限公司 | Service sending target processing method and device |
| CN110197434A (en) * | 2019-05-21 | 2019-09-03 | 深圳前海微众银行股份有限公司 | Intelligent Matching processing method, device, equipment and readable storage medium storing program for executing |
| CN110443452A (en) * | 2019-07-03 | 2019-11-12 | 平安城市建设科技(深圳)有限公司 | Information-pushing method, user equipment, storage medium and device |
| CN110400176A (en) * | 2019-07-26 | 2019-11-01 | 中国工商银行股份有限公司 | Security estimation method and device |
| CN112184302A (en) * | 2020-09-25 | 2021-01-05 | 中国建设银行股份有限公司 | Product recommendation method and device, rule engine and storage medium |
| CN117474426A (en) * | 2023-12-27 | 2024-01-30 | 四川丝路易购科技有限公司 | Block chain-based trade supply chain recommendation method and device |
| CN117474426B (en) * | 2023-12-27 | 2024-04-26 | 四川丝路易购科技有限公司 | Block chain-based trade supply chain recommendation method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109584030A (en) | Mechanism recommended method, device and storage medium | |
| CN109345398A (en) | Point single method, apparatus and storage medium based on client characteristics | |
| CN109582857A (en) | Based on big data information-pushing method, device, computer equipment and storage medium | |
| CN109145215A (en) | Internet public opinion analysis method, apparatus and storage medium | |
| US20110093457A1 (en) | Method for calculating resource points of resource information and distributing points | |
| CN109359798A (en) | Method for allocating tasks, device and storage medium | |
| CN109242275A (en) | Method for allocating tasks, device and storage medium | |
| CN109151023A (en) | Method for allocating tasks, device and storage medium | |
| CN107436866A (en) | The recommendation method and device of finance product | |
| EP3070667A1 (en) | Revenue management system and revenue management method | |
| CN110222975A (en) | A kind of loss customer analysis method, apparatus, electronic equipment and storage medium | |
| CN106156092B (en) | Data processing method and device | |
| CN102841946A (en) | Commodity data retrieval sequencing and commodity recommendation method and system | |
| CN109903152A (en) | Default loss analysis method, device and computer readable storage medium | |
| CN110233873A (en) | Virtual voucher value distribution method, contract running gear and storage medium based on block chain | |
| CN106897889A (en) | A kind of method and apparatus for managing bid, a kind of computer-readable recording medium and storage control | |
| CN108664515A (en) | A kind of searching method and device, electronic equipment | |
| CN109544266A (en) | Product data method for pushing, device and computer readable storage medium | |
| CN106919588A (en) | A kind of application program search system and method | |
| CN110019774A (en) | Label distribution method, device, storage medium and electronic device | |
| CN108596765A (en) | A kind of Electronic Finance resource recommendation method and device | |
| CN105631732A (en) | Method and device for determining user authority | |
| Mead | Requirements prioritization introduction | |
| CN111061948A (en) | User label recommendation method and device, computer equipment and storage medium | |
| CN110197434A (en) | Intelligent Matching processing method, device, equipment and readable storage medium storing program for executing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |