CN108550069A - Travelling requirement report method for pushing, device, electronic equipment, storage medium - Google Patents
Travelling requirement report method for pushing, device, electronic equipment, storage medium Download PDFInfo
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- CN108550069A CN108550069A CN201810354463.6A CN201810354463A CN108550069A CN 108550069 A CN108550069 A CN 108550069A CN 201810354463 A CN201810354463 A CN 201810354463A CN 108550069 A CN108550069 A CN 108550069A
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- Prior art keywords
- travelling
- requirement report
- input element
- requirement
- pushing
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- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
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- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
Abstract
A kind of travelling requirement report method for pushing of present invention offer, device, electronic equipment, storage medium, the travelling requirement report method for pushing include：S101：Obtain multiple requirement items that user fills in the travelling requirement report；S102：The input element value S103 of N number of input element is calculated according at least to multiple requirement items：A housebroken linear regression model (LRM) is inputted according to N number of input element value, obtains the linear regression output valve of the travelling requirement report；S105：The recommender score of the travelling requirement report is determined according to the linear regression output valve；S106：The recommender score of the travelling requirement report is provided to travelling customization personnel.Method and device provided by the invention can push the high travelling requirement report of agglomerating rate to promote the agglomerating rate of all travelling requirement reports to travelling customization personnel.
Description
Technical field
The present invention relates to computer application technology more particularly to a kind of travelling requirement report method for pushing, device, electronics
Equipment, storage medium.
Background technology
At present in customization tour field, after client has descended requirement report, customization will not entered by any filtering
The competition for orders pond of teacher.The problem of being derived be, the invalid list, low value in requirement report customize Shi Wufa singly in competition for orders pond
Any one single quality is known in the case where not scrutinizing requirement report content, causes the work of the customization entire customization platforms of Shi Naizhi
Make under efficiency.
Invention content
The present invention in order to overcome the problems of the above-mentioned prior art, provide a kind of travelling requirement report method for pushing, device,
Electronic equipment, storage medium, to travelling, customization personnel push the high travelling requirement report of agglomerating rate to promote all travelling requirement reports
Agglomerating rate.
According to an aspect of the present invention, a kind of travelling requirement report method for pushing is provided, including：
S101：Obtain multiple requirement items that user fills in the travelling requirement report；
S102：The input element value of N number of input element is calculated according at least to multiple requirement items；
S103：A housebroken linear regression model (LRM) is inputted according to N number of input element value, obtains the travelling requirement report
Linear regression output valve；
S105：The recommender score of the travelling requirement report is determined according to the linear regression output valve；
S106：Recommender score for providing from the travelling requirement report to travelling customization personnel.
Optionally, the linear regression model (LRM) is：
F (x)=w0+w1x1+w2x2+...+wixi...+wNxN,
Wherein, F (x) is the linear regression output valve, x1To xNFor the input element value, w1To wNX respectively1To xN's
Weight parameter, w0For straggling parameter, i is the integer for being less than or equal to N more than or equal to 1.
Optionally, the linear regression model (LRM) is trained using gradient descent algorithm.
Optionally, the linear regression model (LRM) is trained as follows using gradient descent algorithm：
S111：Multiple historical travel requirement reports are obtained as training sample；
S112：By w0To wNIt is initialized as 0 and initializes the step-length α of gradient decline；
Determine that current location corresponds to w0To wNLoss function J (w0,w1,…,wi,…,wN) gradient, for wi,
Gradient
S113：Make the step-length α respectively with the w0To wNGradient be multiplied, obtain for wiDropping distance α
S114：Judge whether w0To wNDropping distance be both less than setpoint distance ε, S115 is thened follow the steps if not, if then
Execute step S116；
S115：W is updated as follows0To wN；
S116：By w1To wNIt is determined as housebroken weight parameter, by w0It is determined as housebroken offset parameter.
Optionally, the step S111 further includes：
The agglomerating information for obtaining each historical travel requirement report, 1 is set as if agglomerating by its mapping value, if not agglomerating will
Its mapping value is set as 0,
Loss function J (the w0,w1,…,wi,…,wN) be calculated as follows：
Wherein, M is the quantity of training sample, yiIt is the mapping value of i-th of training sample,Its
In, x0=1.
Optionally, the input element includes user property and requirement report attribute.
Optionally, the user property includes：User gradation.
Optionally, the requirement report attribute includes one or more in following item：Whether it is company's order；Whether it is
People's order；Order number section；It sets out city level；Order source；Whether children are had；Duration of going on a journey is classified；Budget classification；It goes through
History order status；Intention destination number；And the agglomerating rate in intention destination.
Optionally, after the step S103, before the step S105, further include：
S104：The linear regression output valve is inputted into a Sigmoid functions, to obtain the linear regression output valve
Mapping value, the mapping value are more than 0 and are less than 1.
Optionally, the step S105 includes：
Be ranked up by multiple travelling requirement reports in a mapping value pair period, according to clooating sequence determine mapping value and
The mapping table of recommender score, wherein sequence is in m1Travelling requirement report score be m1/ M*100%, M are in the period
The sum of travelling requirement report；
The mapping value of current travel requirement report is matched with the mapping value in the mapping table；
The recommender score of current travel requirement report is determined according to matching result.
Optionally, further include after the step S106：
The clooating sequence of the travelling requirement report is updated, and the recommender score is updated by newer clooating sequence.
Optionally, the step S106 further includes：It is fixed that travelling requirement report by the recommender score more than P is pushed to travelling
Personnel processed, P are more than or equal to 80% and are less than or equal to 100%.
According to another aspect of the invention, a kind of travelling requirement report pusher is also provided, including：
Acquisition module.The multiple requirement items filled in the travelling requirement report for obtaining user；
Input element value computing module, the input member for calculating N number of input element according at least to multiple requirement items
Element value；
Linear regression output valve computing module, for inputting a housebroken linear regression mould according to N number of input element value
Type obtains the linear regression output valve of the travelling requirement report；
Recommender score determining module, the recommended hour for determining the travelling requirement report according to the linear regression output valve
Number；
Pushing module, the recommender score for providing the travelling requirement report to travelling customization personnel.
According to another aspect of the invention, a kind of electronic equipment is also provided, the electronic equipment includes：Processor；Storage
Medium, is stored thereon with computer program, and the computer program executes step as described above when being run by the processor.
According to another aspect of the invention, a kind of storage medium is also provided, computer journey is stored on the storage medium
Sequence, the computer program execute step as described above when being run by processor.
Compared with prior art, advantage of the invention is that：The algorithm of the recommender score of travelling requirement report is provided with to travelling
Customization personnel push the high travelling requirement report of agglomerating rate, and then promote the agglomerating rate of all travelling requirement reports.
Description of the drawings
Its example embodiment is described in detail by referring to accompanying drawing, above and other feature of the invention and advantage will become
It is more obvious.
Fig. 1 shows the flow chart of travelling requirement report method for pushing according to the ... of the embodiment of the present invention.
Fig. 2 shows the flow charts of the training process of linear regression model (LRM) according to the ... of the embodiment of the present invention.
Fig. 3 shows the schematic diagram of travelling requirement report pusher according to the ... of the embodiment of the present invention.
Fig. 4 schematically shows a kind of computer readable storage medium schematic diagram in disclosure exemplary embodiment.
Fig. 5 schematically shows a kind of electronic equipment schematic diagram in disclosure exemplary embodiment.
Specific implementation mode
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes
Formula is implemented, and is not understood as limited to example set forth herein；On the contrary, thesing embodiments are provided so that the disclosure will more
Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.Described feature, knot
Structure or characteristic can be in any suitable manner incorporated in one or more embodiments.
In addition, attached drawing is only the schematic illustrations of the disclosure, it is not necessarily drawn to scale.Identical attached drawing mark in figure
Note indicates same or similar part, thus will omit repetition thereof.Some block diagrams shown in attached drawing are work(
Energy entity, not necessarily must be corresponding with physically or logically independent entity.Software form may be used to realize these work(
Energy entity, or these functional entitys are realized in one or more hardware modules or integrated circuit, or at heterogeneous networks and/or place
These functional entitys are realized in reason device device and/or microcontroller device.
In order to solve the defects of prior art, a kind of travelling requirement report method for pushing of present invention offer, device, electronics
Equipment, storage medium, to travelling customization personnel push the high travelling requirement report of agglomerating rate with promoted it is all travel requirement reports at
Group's rate.
The flow chart of travelling requirement report method for pushing according to the ... of the embodiment of the present invention is shown referring first to Fig. 1, Fig. 1.Fig. 1
6 steps are shown altogether：
Step S101：Obtain multiple requirement items that user fills in the travelling requirement report.
Step S102：The input element value of N number of input element is calculated according at least to multiple requirement items.
Specifically, the input element may include user property and requirement report attribute.The user property for example may be used
To include user gradation.User gradation is, for example, grade of the user account in the website, may include regular member's (input element
Value is, for example, 0) gold medal member (input element value is, for example, 1), platinum member (input element value is, for example, 2), diamond member
(input element value is, for example, 3).
The requirement report attribute for example may include whether as company's order；Whether it is personal order；Order number section；
It sets out city level；Order source；Whether children are had；Duration of going on a journey is classified；Budget classification；History Order state；Intention purpose
Ground number；And it is one or more in the agglomerating rate in intention destination.Further, if order is company's order, input member
Element value can be 1, if order is personal order, input element value can be 0.If order number section is in 1-2 people, defeated
It can be 1 to enter element value；If order number section, in 3-5 people, input element value can be 5；If order number section exists
6-9 people, then its input element value can be 3；If order number section, in 10 people or more, input element value can be 4.
For city level of setting out, the input element value of a tier 2 cities can be 2, and the input element value in other cities can be 1, not
It fills in or the input element value in no-fix to city of setting out can be 0.For order source, if the order inputs certainly from APP
Element value can be 3；Can be 2 from input element value if the order is from PC；If the order is from webpage, from input element
Value can be 4.If the order there are children to go on a journey together, whether can there will be the input element value of children one to be set as 1, if
Whether the order does not have children to go on a journey together, then can will have the input element value of children one to be set as 0.For intention purpose
The agglomerating rate in ground, can be directly using its numerical value as its input element value.
For trip duration classification, if national distance trip number of days is less than or equal to 6 days, input element value can be 1；If
National distance is swum number of days and is more than 6 days, then its input element value can be 2；If domestic short distance trip number of days is less than or equal to 6 days,
Input element value can be 3；If domestic short distance trip number of days is more than 6 days, input element value can be 4；If overseas long-distance trip
Number of days is more than or equal to be less than or equal to 15 days for 6 days, then its input element value can be 5；If overseas long-distance trip number of days is less than 6 days or big
In 15 days, then its input element value can be 6；If overseas short distance trip number of days is less than or equal to 8 days, input element value can be
7；If overseas short distance trip number of days is more than 8 days, input element value can be 8；Other situations, input element value can be 9.
Budget classification, if national distance trip budget is more than 0 per capita is less than or equal to 2000 yuan, input element value can be
1；If national distance swims budget is more than 2000 less than or equal to 5000 yuan per capita, input element value can be 2；If national distance
It swims budget and is more than 5000 yuan per capita, then its input element value can be 4；If domestic short distance trip budget is less than or equal to more than 0 per capita
500 yuan, then its input element value can be 5；If domestic short distance trip budget is per capita more than 500 less than or equal to 1500 yuan, defeated
It can be 6 to enter element value；If national distance swims budget is more than 1500 yuan per capita, input element value can be 7；If overseas long
Way trip budget is more than 0 and is less than or equal to 14000 yuan per capita, then its input element value can be 7；If overseas long-distance trip budget is big per capita
It is less than or equal to 30000 yuan in 14000, then its input element value can be 8；If overseas long-distance trip budget is more than 30000 yuan per capita,
Then its input element value can be 9；If overseas short distance trip budget is more than 0 and is less than or equal to 4140 yuan per capita, input element value
Can be 10；If overseas short distance trip budget is more than 4140 and is less than or equal to 9000 yuan per capita, input element value can be 11；If
Overseas long-distance trip budget is more than 9000 yuan per capita, then its input element value can be 12；If budget type (state is not arranged in user
Interior long-distance trip, domestic short distance trip etc.), and be filled with budget, then its input element value can be 13；If user does not fill in budget,
Then its input element value can be 14.
For History Order state, if it can be 2 that the user, which has the agglomerating record of history, input element value,；If the use
Family has order to submit but without the agglomerating record of history, then its input element value can be 0；If user did not submitted order, defeated
It can be 1 to enter element value.
For intention destination number, if intention destination number is 1, input element value can be 1；If intention
Destination number is 2, then its input element value can be 2；If intention destination number is more than or equal to 3 and to be less than or equal to
5, then its input element value can be 3；If intention destination number is more than or equal to 6 and to be less than or equal to 9, input
Element value can be 4；If intention destination number is more than 9, input element value can be 5.
Above is only schematically to describe the embodiment of the present invention, and the present invention is not so limited, each input element
Input element value can also be calculated, be updated by other means, and it will not go into details again.
Step S103：A housebroken linear regression model (LRM) is inputted according to N number of input element value, obtains the travelling demand
Single linear regression output valve.
Specifically, linear regression model (LRM) is：
F (x)=w0+w1x1+w2x2+...+wixi...+wNxN,
Wherein, F (x) is the linear regression output valve, x1To xNFor the input element value, w1To wNX respectively1To xN's
Weight parameter, w0For straggling parameter, i is the integer for being less than or equal to N more than or equal to 1.
Optionally, housebroken linear regression model (LRM) (and reciprocal fraction) is stored in redis (Redis is one and increases income
Write using ANSI C languages, support network, can based on memory also can persistence log type, Key-Value databases, and carry
For the API of multilingual) in.
Step S104：The linear regression output valve is inputted into a Sigmoid functions, is exported with obtaining the linear regression
The mapping value of value, the mapping value are more than 0 and are less than 1.
Sigmoid functions areStep S104 can be omitted, i.e. step S105 can be directly by linearly returning
Output valve is returned to determine the recommender score of the travelling requirement report.
Step S105：The recommender score of the travelling requirement report is determined according to the mapping value.
Specifically, in some embodiments, the mapping value can be multiplied by 100% to obtain the recommender score.
For example, when mapping value y is 0.5, recommender score 50%；When mapping value y is 0.8, recommender score 80%.
Multiple travelling requirement reports can be ranked up by the mapping value in yet other embodiments, it is suitable according to sorting
Sequence determines the recommender score.For example, being ranked up from high to low to travelling requirement report by recommender score, total M travelling demand
Single (such as travelling requirement report quantity in current time 14 days), sorts in m1Travelling requirement report score be m1/M*
100%.Recommender score can be with rounding.In this embodiment, when obtain current travel requirement report mapping value when, can by its with
The mapping value of ordering M historical travel requirement report is compared, and finds identical or immediate historical travel requirement report,
Using its recommender score as the recommender score of current travel requirement report.
Step S106：The recommender score of the travelling requirement report is provided to travelling customization personnel.
In some embodiments, travelling requirement report that can be by the recommender score more than P is pushed to travelling customization personnel, P
It is less than or equal to 100% more than or equal to 80%.
Specifically, in the embodiment for determining recommender score using clooating sequence, it after step s 106 can be with root
According to the clooating sequence of the mapping value update travelling requirement report of current travel requirement report, and pushed away by described in the update of newer clooating sequence
Recommend score.
Referring to Fig. 2, Fig. 2 shows the flows of the training process of linear regression model (LRM) according to the ... of the embodiment of the present invention
Figure.The linear regression model (LRM) in the present invention is trained using gradient descent algorithm.
In some embodiments, the linear regression model (LRM) is trained as follows using gradient descent algorithm, such as Fig. 2 institutes
Show：
Step S111：Multiple historical travel requirement reports are obtained as training sample.
Specifically, the step S111 also obtains the agglomerating information of each historical travel requirement report, reflected if agglomerating
It penetrates value and is set as 1, its mapping value is set as 0 if not agglomerating.
Step S112：By w0To wNIt is initialized as 0 and initializes the step-length α of gradient decline.
Step S113：Determine that current location corresponds to w0To wNLoss function J (w0,w1,…,wi,…,wN) gradient,
For wi, gradient
Specifically, the loss function J (w0,w1,…,wi,…,wN) be calculated as follows：
Wherein, M is the quantity of training sample, yiIt is the mapping value of i-th of training sample,Its
In, x0=1.
Step S114：Make the step-length α respectively with the w0To wNGradient be multiplied, obtain for wiDropping distance α
Step S115：Judge whether w0To wNDropping distance be both less than setpoint distance ε, then follow the steps S116 if not, if
It is to then follow the steps S117.ε is rational.
Step S116：W is updated as follows0To wN, and press newer w0To wNExecute step S113；
Step S117：By w1To wNIt is determined as housebroken weight parameter, by w0It is determined as housebroken offset parameter.
Fig. 2 is only an embodiment of the invention, and the present invention is not so limited.For example, it is also possible to utilize matrix
Mode be trained using gradient descent algorithm, it will not be described here.
Fig. 3 shows the schematic diagram of travelling requirement report pusher according to the ... of the embodiment of the present invention.Requirement report of travelling pushes
Device 200 includes acquisition module 210, input element value computing module 220, linear regression output valve computing module 230, mapping value
Computing module 240, recommender score determining module 250 and pushing module 260.
Acquisition module 210 is used to obtain multiple requirement items that user fills in the travelling requirement report.Input element value
Computing module 220 is used to calculate the input element value of N number of input element according at least to multiple requirement items.Linear regression exports
It is worth computing module 230 to be used to input a housebroken linear regression model (LRM) according to N number of input element value, obtains the travelling demand
Single linear regression output valve.Mapping value computing module 240 is used to the linear regression output valve inputting a Sigmoid letters
Number, to obtain the mapping value of the linear regression output valve, the mapping value is more than 0 and is less than 1.Recommender score determining module
250 recommender score for determining the travelling requirement report according to the mapping value.Pushing module 260 is used for for fixed to travelling
Personnel processed provide the recommender score of the travelling requirement report.
Fig. 3 is only the module map for showing schematically voice interaction device provided by the invention, without prejudice to the present invention
Under the premise of design, the fractionation of module, increases all within protection scope of the present invention merging.
In an exemplary embodiment of the disclosure, a kind of computer readable storage medium is additionally provided, meter is stored thereon with
The circulation of electronic prescription described in any one above-mentioned embodiment may be implemented in calculation machine program, the program when being executed by such as processor
The step of processing method.In some possible embodiments, various aspects of the invention are also implemented as a kind of program production
The form of product comprising program code, when described program product is run on the terminal device, said program code is for making institute
State terminal device execute described in this specification above-mentioned electronic prescription circulation processing method part according to the various examples of the present invention
The step of property embodiment.
Refering to what is shown in Fig. 4, describing the program product for realizing the above method according to the embodiment of the present invention
800, portable compact disc read only memory (CD-ROM) may be used and include program code, and can in terminal device,
Such as it is run on PC.However, the program product of the present invention is without being limited thereto, in this document, readable storage medium storing program for executing can be with
To be any include or the tangible medium of storage program, the program can be commanded execution system, device either device use or
It is in connection.
The arbitrary combination of one or more readable mediums may be used in described program product.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or the arbitrary above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include：It is electrical connection, portable disc, hard disk, random access memory (RAM) with one or more conducting wires, read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The computer readable storage medium may include the data letter propagated in a base band or as a carrier wave part
Number, wherein carrying readable program code.Diversified forms, including but not limited to electromagnetism may be used in the data-signal of this propagation
Signal, optical signal or above-mentioned any appropriate combination.Readable storage medium storing program for executing can also be any other than readable storage medium storing program for executing
Readable medium, which can send, propagate either transmission for being used by instruction execution system, device or device or
Person's program in connection.The program code for including on readable storage medium storing program for executing can transmit with any suitable medium, packet
Include but be not limited to wireless, wired, optical cable, RF etc. or above-mentioned any appropriate combination.
It can be write with any combination of one or more programming languages for executing the program that operates of the present invention
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in tenant
It is executed on computing device, partly executes in tenant's equipment, executed as an independent software package, partly calculated in tenant
Upper side point is executed or is executed in remote computing device or server completely on a remote computing.It is being related to far
In the situation of journey computing device, remote computing device can pass through the network of any kind, including LAN (LAN) or wide area network
(WAN), it is connected to tenant's computing device, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In an exemplary embodiment of the disclosure, a kind of electronic equipment is also provided, which may include processor,
And the memory of the executable instruction for storing the processor.Wherein, the processor is configured to via described in execution
Executable instruction is come the step of executing the circulation processing method of electronic prescription described in any one above-mentioned embodiment.
Person of ordinary skill in the field it is understood that various aspects of the invention can be implemented as system, method or
Program product.Therefore, various aspects of the invention can be embodied in the following forms, i.e.,：It is complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as circuit, " module " or " system ".
The electronic equipment 600 of this embodiment according to the present invention is described referring to Fig. 5.The electronics that Fig. 5 is shown
Equipment 600 is only an example, should not bring any restrictions to the function and use scope of the embodiment of the present invention.
As shown in figure 5, electronic equipment 600 is showed in the form of universal computing device.The component of electronic equipment 600 can wrap
It includes but is not limited to：At least one processing unit 610, at least one storage unit 620, (including the storage of connection different system component
Unit 620 and processing unit 610) bus 630, display unit 640 etc..
Wherein, the storage unit has program stored therein code, and said program code can be held by the processing unit 610
Row so that the processing unit 610 execute described in this specification above-mentioned electronic prescription circulation processing method part according to this
The step of inventing various illustrative embodiments.For example, the processing unit 610 can execute as shown in Figure 1, Figure 2, shown in Fig. 3
The step of.
The storage unit 620 may include the readable medium of volatile memory cell form, such as random access memory
Unit (RAM) 6201 and/or cache memory unit 6202 can further include read-only memory unit (ROM) 6203.
The storage unit 620 can also include program/practicality work with one group of (at least one) program module 6205
Tool 6204, such program module 6205 include but not limited to：Operating system, one or more application program, other programs
Module and program data may include the realization of network environment in each or certain combination in these examples.
Bus 630 can be to indicate one or more in a few class bus structures, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use the arbitrary bus structures in a variety of bus structures
Local bus.
Electronic equipment 600 can also be with one or more external equipments 700 (such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also enable the equipment that tenant interact with the electronic equipment 600 to communicate with one or more, and/or with make
Any equipment that the electronic equipment 600 can be communicated with one or more of the other computing device (such as router, modulation /demodulation
Device etc.) communication.This communication can be carried out by input/output (I/O) interface 650.Also, electronic equipment 600 can be with
By network adapter 660 and one or more network (such as LAN (LAN), wide area network (WAN) and/or public network,
Such as internet) communication.Network adapter 660 can be communicated by bus 630 with other modules of electronic equipment 600.It should
Understand, although not shown in the drawings, other hardware and/or software module can be used in conjunction with electronic equipment 600, including but it is unlimited
In：Microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and number
According to backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be expressed in the form of software products, the software product can be stored in one it is non-volatile
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server or network equipment etc.) executes the above-mentioned electronics according to disclosure embodiment
Prescription circulation processing method.
Compared with prior art, advantage of the invention is that：The algorithm of the recommender score of travelling requirement report is provided with to travelling
Customization personnel push the high travelling requirement report of agglomerating rate, and then promote the agglomerating rate of all travelling requirement reports.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Person's adaptive change follows the general principles of this disclosure and includes the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by appended
Claim is pointed out.
Claims (15)
1. a kind of travelling requirement report method for pushing, which is characterized in that including：
S101：Obtain multiple requirement items that user fills in the travelling requirement report；
S102：The input element value of N number of input element is calculated according at least to multiple requirement items；
S103：A housebroken linear regression model (LRM) is inputted according to N number of input element value, obtains the linear of the travelling requirement report
Return output valve；
S105：The recommender score of the travelling requirement report is determined according to the linear regression output valve；
S106：The recommender score of the travelling requirement report is provided to travelling customization personnel.
2. travelling requirement report method for pushing as described in claim 1, which is characterized in that the linear regression model (LRM) is：
F (x)=w0+w1x1+w2x2+...+wixi...+wNxN,
Wherein, F (x) is the linear regression output valve, x1To xNFor the input element value, w1To wNX respectively1To xNWeight
Parameter, w0For straggling parameter, i is the integer for being less than or equal to N more than or equal to 1.
3. travelling requirement report method for pushing as claimed in claim 2, which is characterized in that the linear regression model (LRM) uses gradient
Descent algorithm is trained.
4. travelling requirement report method for pushing as claimed in claim 3, which is characterized in that the linear regression model (LRM) uses gradient
Descent algorithm is trained as follows：
S111：Multiple historical travel requirement reports are obtained as training sample；
S112：By w0To wNIt is initialized as 0 and initializes the step-length α of gradient decline；
S113：Determine that current location corresponds to w0To wNLoss function J (w0,w1,…,wi,…,wN) gradient, for wi,
Gradient
S114：Make the step-length α respectively with the w0To wNGradient be multiplied, obtain for wiDropping distance
S115：Judge w0To wNDropping distance whether be both less than setpoint distance ε, then follow the steps S116 if not, if so then execute
Step S117, ε are rational；
S116：W is updated as follows0To wN, and press newer w0To wNExecute step S113；
S117：By w1To wNIt is determined as housebroken weight parameter, by w0It is determined as housebroken offset parameter.
5. travelling requirement report method for pushing as claimed in claim 4, which is characterized in that the step S111 further includes：
The agglomerating information for obtaining each historical travel requirement report, 1 is set as if agglomerating by its mapping value, if not agglomerating reflected
It penetrates value and is set as 0,
Loss function J (the w0,w1,…,wi,…,wN) be calculated as follows：
Wherein, M is the quantity of training sample, yiIt is the mapping value of i-th of training sample,Wherein, x0=
1。
6. travelling requirement report method for pushing as described in claim 1, which is characterized in that the input element includes user property
And requirement report attribute.
7. travelling requirement report method for pushing as claimed in claim 6, which is characterized in that the user property includes：User etc.
Grade.
8. travelling requirement report method for pushing as claimed in claim 6, which is characterized in that the requirement report attribute includes following item
In it is one or more：Whether it is company's order；Whether it is personal order；Order number section；It sets out city level；Order comes
Source；Whether children are had；Duration of going on a journey is classified；Budget classification；History Order state；Intention destination number；And intention purpose
The agglomerating rate in ground.
9. travelling requirement report method for pushing as described in claim 1, which is characterized in that after the step S103, the step
Before rapid S105, further include：
S104：The linear regression output valve is inputted into a Sigmoid functions, to obtain the mapping of the linear regression output valve
Value, the mapping value are more than 0 and are less than 1.
10. travelling requirement report method for pushing as described in claim 1, which is characterized in that the step S105 includes：
It is ranked up by multiple travelling requirement reports in a mapping value pair period, mapping value and recommendation is determined according to clooating sequence
The mapping table of score, wherein sequence is in m1Travelling requirement report recommender score be m1/ M*100%, M are in the period
The sum of travelling requirement report；
The mapping value of current travel requirement report is matched with the mapping value in the mapping table；
The recommender score of current travel requirement report is determined according to matching result.
11. travelling requirement report method for pushing as claimed in claim 10, which is characterized in that also wrapped after the step S106
It includes：
The clooating sequence of the travelling requirement report is updated, and the recommender score is updated by newer clooating sequence.
12. travelling requirement report method for pushing as described in claim 1, which is characterized in that the step S106 includes：
Travelling requirement report by the recommender score more than P is pushed to travelling customization personnel, and P is less than or equal to more than or equal to 80%
100%.
13. a kind of travelling requirement report pusher, which is characterized in that including：
Acquisition module, the multiple requirement items filled in the travelling requirement report for obtaining user；
Input element value computing module, the input element value for calculating N number of input element according at least to multiple requirement items；
Linear regression output valve computing module is obtained for inputting a housebroken linear regression model (LRM) according to N number of input element value
Take the linear regression output valve of the travelling requirement report；
Recommender score determining module, the recommender score for determining the travelling requirement report according to the linear regression output valve；
Pushing module, the recommender score for providing the travelling requirement report to travelling customization personnel.
14. a kind of electronic equipment, which is characterized in that the electronic equipment includes：
Processor；
Storage medium is stored thereon with computer program, and such as right is executed when the computer program is run by the processor
It is required that 1 to 12 any one of them step.
15. a kind of storage medium, which is characterized in that be stored with computer program, the computer program on the storage medium
Such as claim 1 to 12 any one of them step is executed when being run by processor.
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| CN116700736A (en) * | 2022-10-11 | 2023-09-05 | 荣耀终端有限公司 | Determination method and device for application recommendation algorithm |
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