CN108932645A - A kind of user selects vehicle system - Google Patents
A kind of user selects vehicle system Download PDFInfo
- Publication number
- CN108932645A CN108932645A CN201710383481.2A CN201710383481A CN108932645A CN 108932645 A CN108932645 A CN 108932645A CN 201710383481 A CN201710383481 A CN 201710383481A CN 108932645 A CN108932645 A CN 108932645A
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- Prior art keywords
- vehicle
- user
- client
- server
- feature vector
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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]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
- G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
Abstract
The present invention provides a kind of users to select vehicle system, which includes client and server, and client is used to receive the vehicle requirement request information of user's input, and the vehicle requirement request information is sent to server；Server is used to obtain the parameter information of vehicle, the feature vector of vehicle is generated according to the parameter information, and the feature vector of the vehicle demand information based on user and vehicle generates vehicle recommendation list, and the vehicle recommendation list is sent to client；Client is based on the vehicle recommendation list and shows vehicle model information to user.The present invention selects vehicle method based on interest-degree by constructing in the server, user need to only click several keywords in the client can be thus achieved Intelligent Selection vehicle, and vehicle recommendation list is generated using algorithm is closed on, so as to complete to select vehicle in real time, it avoids user to fall into a long wait online, improves user experience.
Description
Technical field
The present invention relates to data intelligence processing technical field, especially a kind of user selects vehicle system.
Background technique
By to the end of the year 2016, national vehicle guaranteeding organic quantity is up to 2.9 hundred million, wherein automobile 1.94 hundred million；Vehicle driver 3.6
Hundred million, wherein motorist is more than 3.1 hundred million.With the continuous promotion of living standards of the people, the demand of automobile is also more and more vigorous,
New car, used automobile market continue intimately, and the interconnection networking of vehicle purchase is imperative.How to recommend vehicle to user is existing skill
A problem in art
In the prior art there are also vehicle recommended method, the feature for being based primarily upon vehicle carries out all user demand
Matching primitives amount is big, and calculating effect is poor, and recommendation results are not accurate enough to affect user experience.
Therefore, it can not accurately recommend vehicle in real time to for user in the prior art, affect user experience etc..
Summary of the invention
The present invention is directed to above-mentioned defect in the prior art, proposes following technical solution.
A kind of user selects vehicle system, which includes client and server,
Client is used to receive the vehicle requirement request information of user's input, and the vehicle requirement request information is sent
To server；
Server is used to obtain the parameter information of vehicle, and the feature vector of vehicle, and base are generated according to the parameter information
Vehicle recommendation list is generated in the vehicle demand information of user and the feature vector of vehicle, and the vehicle recommendation list is sent
To client；
Client is based on the vehicle recommendation list and shows vehicle model information to user.
Further, the client includes keyboard, and the vehicle requirement request information is inputted by the keyboard
's.
Further, the client includes touch display screen, and the vehicle requirement request information is by the touching
Touch display screen input.
Further, user interface is shown in the touch display screen, the vehicle requirement request information is
It is inputted by the user interface.
Further, the client is mobile phone, tablet computer, laptop or personal digital assistant.
Further, the vehicle requirement request information includes price, power, luxurious, comfortable, safety, space, joy
It is happy, cross-country, honorable.
Further, the server generates vehicle recommendation list by following operation：
Server is based on the vehicle requirement request information and generates user's vehicle requirement vector User (u1、u2、u3、…、
un), for the feature not having in user demand solicited message, ui=0；
Server based on the parameter information generate vehicle feature vector Mode (f1、f2、f3、…、fn), whereinwiFor weight, AiDifferent scorings；
Server is primarily based on the vehicle that price screening meets Price Range, obtains the feature for meeting the vehicle of Price Range
Vector is based on user's vehicle requirement vector User (u using algorithm is closed on1、u2、u3、…、un) and meet the vehicle of Price Range
Feature vector generate vehicle recommendation list, wherein n, i, m be integer.
Further, the use closes on algorithm based on user's vehicle requirement vector User (u1、u2、u3、…、un) and
The feature vector for meeting the vehicle of Price Range generates vehicle recommendation list and is specially：According to non-in user's vehicle requirement vector
0 value, it is assumed that the feature vector for meeting the vehicle of user demand is M, and the feature vector of the vehicle is that M corresponds to user's vehicle demand
The vector f of vector non-zero valueiBe set as full marks 100, in the feature vector for the vehicle for meeting Price Range using close on algorithm search
With the feature vector of the feature vector M of vehicle K vehicle being close, formula is usedUser is to K vehicle
Interest-degree, and the sequence of the size based on interest-degree, using preceding L vehicle as vehicle recommendation list, wherein K, L are integer.
Technical effect of the invention is：It constructs in the server and vehicle method is selected based on interest-degree, user only need to be in visitor
Several keywords are clicked in the end of family can be thus achieved Intelligent Selection vehicle, and generate vehicle recommendation list using algorithm is closed on, so as to
Vehicle is selected with real-time completion, user is avoided and falls into a long wait online, improve user experience.
Detailed description of the invention
Fig. 1 is the structure chart that a kind of user of the invention selects vehicle system.
Fig. 2 is a kind of interface schematic diagram of client of the invention.
Fig. 3 is a kind of structural schematic diagram of client end interface of the invention.
Specific embodiment
1-3 is specifically described with reference to the accompanying drawing.
Fig. 1 shows a kind of user of the invention and selects vehicle system, which includes client 1 and server 2,
Client 1 is used to receive the vehicle requirement request information of user's input, and the vehicle requirement request information is sent out
It send to server；
Server 2 is used to obtain the parameter information of vehicle, and the feature vector of vehicle, and base are generated according to the parameter information
Vehicle recommendation list is generated in the vehicle demand information of user and the feature vector of vehicle, the server 2 pushes away the vehicle
It recommends list and is sent to client 1；
Client 1 is based on the vehicle recommendation list and shows vehicle model information to user.
Fig. 2 shows a kind of interface schematic diagram of client, the vehicle requirement request information of the input is to pass through client
Input is selected on the keyboard input at end 1 or the user interface of the touch screen in client 1, i.e., user can pass through client
The information of vehicle is selected in 1 keyboard input, and when inputting using keyboard, the emphasis of user is determined according to the order of input options, is such as used
The sequence of family input is " luxurious ", " amusement ", then it is assumed that user's focus is " luxurious " first, followed by " is entertained ".User
It can be selected on user interface (GUI), as shown in Fig. 2, a kind of xx selects vehicle system, list several on the APP
Option, such as price, power, luxurious, comfortable, safety, space, amusement, cross-country, honorable, user can carry out clicking selection input,
It can determine user's focus by the precedence of user clicks on tabs, for example user is very high to power demand, it can first point
" power " option is hit, power is made number one, this is only the embodiment of one of them.Another embodiment is,
The input sequence of default is shown in user interface, user resequences to option by way of long-pressing, and sequence exists
First option is the focal point of user, for example user is very high to power demand, and " power " option can make number one, long-pressing
It is compressing time more than certain threshold value, such as 0.8 second.
Vehicle requirement request information includes price, power, luxurious, comfortable, safety, space, amusement, cross-country, honorable, certainly
It is also possible that more parameters, is here only to list several important parameters.
In server 2, analyzed by existing automobile market and data collection, fusion 1980 so far different brands in China
Vehicle technical information is listed, analysis all ages and classes layer purchase vehicle decision category information is collected, and the pass for influencing purchase vehicle decision is effectively extracted
Key main points generate the feature vector of vehicle based on big data theory.
The server 2 generates vehicle recommendation list by following operation：
Server base 2 generates user's vehicle requirement vector User (u in the vehicle requirement request information1、u2、u3、…、
un), for the feature not having in user demand solicited message, ui=0, for example user only has input price feature, such as user
Price feature is only had input, then other features are set as 0.A kind of embodiment is：Initialising subscriber vehicle requirement vector User
(u1、u2、u3、…、un) in u1、u2、u3、…、unIt is 0, u1、u2、u3、…、unRespectively indicate price, power, luxurious, easypro
Suitable, safety, space, amusement, cross-country, honorable etc., if with selecting three (prices, power, luxurious), user's vehicle demand to
Amount can be set to User (1,1,0.8 ..., 0), user's vehicle requirement vector can be with if selection binomial (price, luxurious)
Be set as User (1,0,1 ..., 0), etc., different prices can correspond to different parameters, for example, 1 corresponding 1,000,000 or more
Vehicle, the vehicle of 0.9 corresponding 60-100 ten thousand.
Server 2 based on the parameter information generate vehicle feature vector Mode (f1、f2、f3、…、fn), whereinwiFor weight, AiDifferent scorings；Scoring is theoretical according to big data, such as oil consumption, user's assessment value
And its weight, the measured value and its weight COMPREHENSIVE CALCULATING of national detection department finally obtain a score, are expressed as fi,
Its full marks is 100 points, the f in vector1、f2、f3、…、fnRespectively indicate price, power, luxurious, comfortable, safety, space, joy
Happy, cross-country, honorable etc. score.
Server 2 is primarily based on the vehicle that price screening meets Price Range, obtains the spy for meeting the vehicle of Price Range
Vector is levied, is based on user's vehicle requirement vector User (u using algorithm is closed on1、u2、u3、…、un) and meet the vehicle of Price Range
The feature vector of type generates vehicle recommendation list, and wherein n, i, m are integer.2 vehicle recommendation list of server is sent to client
1, and shown in client 1, it between client 1 and server 2 is attached by cable network or wireless network
Communication.
2 use of server closes on algorithm and is based on user's vehicle requirement vector User (u1、u2、u3、…、un) and meet price
The feature vector of the vehicle of range generates vehicle recommendation list：According to the non-zero value in user's vehicle requirement vector, it is assumed that
The feature vector for meeting the vehicle of user demand is M, and it is non-zero that the feature vector of the vehicle is that M corresponds to user's vehicle requirement vector
The vector f of valueiBe set as full marks 100, in the feature vector for the vehicle for meeting Price Range using close on algorithm search and vehicle
The feature vector of K vehicle that is close of feature vector M, use formulaInterest of the user to K vehicle
Degree, and the sequence of the size based on interest-degree, using preceding L vehicle as vehicle recommendation list, wherein K, L are integer.
Fig. 3 has shown client 1 of the invention, is connect with server 2 by network, connection type can with wifi,
3G, 4G or other cordless communication networks, the client 1 include processor 11, memory 12 and display screen 13, certain client
End 1 can also include other component, such as wifi module, bluetooth module, microphone, data transmission module other mobile terminals
It needs using module, here, being not shown.Processor 11 is connected with memory 12 and display screen 13 by bus respectively, is deposited
Can store program performed by client 1 and data etc. in reservoir 12, processor 11 can execute the program in memory 12,
Corresponding operation, such as data reception operation are executed, display screen 13 can be touch display screen.Client 1 in the present invention can be with
For mobile phone, tablet computer, laptop, personal digital assistant etc., but it is not limited to these equipment.
It should be noted last that：Above embodiments only illustrate and not to limitation technical solution of the present invention, although reference
Above-described embodiment describes the invention in detail, those skilled in the art should understand that：It still can be to this hair
It is bright to be modified or replaced equivalently, it without departing from the spirit or scope of the invention, or any substitutions, should all
It is included within the scope of the claims of the present invention.
Claims (8)
1. a kind of user selects vehicle system, which includes client and server, which is characterized in that
Client is used to receive the vehicle requirement request information of user's input, and the vehicle requirement request information is sent to clothes
Business device；
Server is used to obtain the parameter information of vehicle, the feature vector of vehicle is generated according to the parameter information, and based on use
The vehicle demand information at family and the feature vector of vehicle generate vehicle recommendation list, and the vehicle recommendation list is sent to visitor
Family end；
Client is based on the vehicle recommendation list and shows vehicle model information to user.
2. system according to claim 1, which is characterized in that the client includes keyboard, the vehicle requirement request information
It is to be inputted by the keyboard.
3. system according to claim 1, which is characterized in that the client includes touch display screen, and the vehicle demand is asked
Seeking information is inputted by the touch display screen.
4. system according to claim 3, which is characterized in that user interface is shown in the touch display screen, it is described
Vehicle requirement request information is inputted by the user interface.
5. system according to claim 1, which is characterized in that the client is mobile phone, tablet computer, laptop or a
Personal digital assistant.
6. one of -5 system according to claim 1, which is characterized in that the vehicle requirement request information include price, power,
It is luxurious, comfortable, safety, space, amusement, cross-country, honorable.
7. system according to claim 6, which is characterized in that the server generates vehicle recommendation list by following operation
's：
Server is based on the vehicle requirement request information and generates user's vehicle requirement vector User (u1、u2、u3、…、un), for
The feature not having in user demand solicited message, ui=0；
Server based on the parameter information generate vehicle feature vector Mode (f1、f2、f3、…、fn), whereinwiFor weight, AiDifferent scorings；
Server is primarily based on price screening and meets the vehicle of Price Range, obtain the feature of the vehicle for meeting Price Range to
Amount is based on user's vehicle requirement vector User (u using algorithm is closed on1、u2、u3、…、un) and meet the vehicle of Price Range
Feature vector generates vehicle recommendation list, and wherein n, i, m are integer.
8. system according to claim 7, which is characterized in that the use closes on algorithm and is based on user's vehicle requirement vector User
(u1、u2、u3、…、un) and meet Price Range vehicle feature vector generate vehicle recommendation list be specially：According to user
Non-zero value in vehicle requirement vector, it is assumed that the feature vector for meeting the vehicle of user demand is M, the feature vector of the vehicle
The vector f of user's vehicle requirement vector non-zero value is corresponded to for MiBe set as full marks 100, the vehicle for meeting Price Range feature to
Using algorithm lookup and the feature vector of the feature vector M of vehicle K vehicle being close is closed in amount, formula is usedUser is to the interest-degree of K vehicle, and the size sequence based on interest-degree, using preceding L vehicle as vehicle
Recommendation list, wherein K, L are integer.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710383481.2A CN108932645A (en) | 2017-05-26 | 2017-05-26 | A kind of user selects vehicle system |
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|---|---|---|---|
| CN201710383481.2A CN108932645A (en) | 2017-05-26 | 2017-05-26 | A kind of user selects vehicle system |
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| CN108932645A true CN108932645A (en) | 2018-12-04 |
Family
ID=64451158
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710383481.2A Pending CN108932645A (en) | 2017-05-26 | 2017-05-26 | A kind of user selects vehicle system |
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| CN110309186A (en) * | 2019-06-05 | 2019-10-08 | 上海车轮互联网服务有限公司 | Vehicle data processing method and processing device based on multidimensional characteristic |
| CN110807049A (en) * | 2019-10-23 | 2020-02-18 | 上海能塔智能科技有限公司 | Test driving vehicle type recommendation method and device and computer readable storage medium |
| CN110990692A (en) * | 2019-11-13 | 2020-04-10 | 上海易点时空网络有限公司 | Data processing method and device based on portrait analysis |
| CN111724216A (en) * | 2019-03-18 | 2020-09-29 | 天津五八到家科技有限公司 | Vehicle selection method, terminal device and storage medium |
| CN113392466A (en) * | 2021-06-11 | 2021-09-14 | 南斗六星系统集成有限公司 | Automobile display linkage system and method |
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Application publication date: 20181204 |