CN107705190A - A kind of vehicle leasing information recommendation method - Google Patents
A kind of vehicle leasing information recommendation method Download PDFInfo
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- CN107705190A CN107705190A CN201711008225.1A CN201711008225A CN107705190A CN 107705190 A CN107705190 A CN 107705190A CN 201711008225 A CN201711008225 A CN 201711008225A CN 107705190 A CN107705190 A CN 107705190A
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- G06Q30/0645—Rental transactions; Leasing transactions
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- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention provides a kind of vehicle leasing information recommendation method, comprise the following steps：A, recorded from user with car, user social contact record, user social contact network good friend with least two records in car record and the social record of user social contact network good friend obtain information of vehicles label；B, user's information of vehicles label interested is chosen from the information of vehicles label of acquisition；C, according to user's information of vehicles label interested, vehicle leasing information is recommended to user.The vehicle leasing information recommendation method of the present invention, information of vehicles label is obtained from user and its being recorded with car record and/or social activity for social networks good friend, excavate user's most probable information of vehicles label interested, it is that user recommends vehicle leasing information according to user's information of vehicles label interested, realize personalized service, so as to recommend more accurately vehicle leasing information for user, it is beneficial to provide the user more convenient, efficient electric automobile timesharing lease services.
Description
Technical field
The present invention relates to vehicle leasing technical field, more particularly to a kind of vehicle leasing information recommendation method.
Background technology
As economic fast development is shared by country, applying for the timesharing lease of electric automobile plays in the life of people
More and more important effect.The application that people go on a journey to " internet+timesharing lease " pattern so that user not only turns into information
Consumer, and as information the producer.User by as Car2Go, expect reach, electric automobile service Evcard
Platform buys electric automobile service, generates the information such as the transaction data of magnanimity and related comment.User uses new trip
After pattern, user can be to experience marking, comment, even service marking.Thus, substantial amounts of data are generated.
The vehicle leasing information recommendation method that traditional charter business provides on the market at present has the following disadvantages：1) it is each
Operation manufacturer carries out individual data items analysis just for unique user and provides the user service of cars on hire, can not realize socialization colony
Data analysis.2) conventional truck information of lease recommendation method is used as to collect just for the service condition of user takes its data top
Set, can not realize that accurate recommendation is serviced with car.3) conventional vehicle leasing information recommendation method helps user filtering information,
But the information service way of this " one-to-many " only meets the demand of main flow, it can not meet the demand of personalization.
Therefore, a kind of new vehicle leasing information recommendation method how is founded, precisely, efficiently can be pushed away for user
The vehicle leasing information that their most probables are liked is recommended, so as to realize " one-to-one " vehicle leasing information recommendation, meets user personality
The demand of change, turn into those skilled in the art's urgent problem to be solved.
The content of the invention
It is an object of the invention to provide a kind of vehicle leasing information recommendation method, can be precisely, efficiently user
Recommend the vehicle leasing information that their most probables are liked, so as to realize " one-to-one " vehicle leasing information recommendation, meet user
The demand of property, and to overcome the shortcomings of existing vehicle leasing information recommendation method.
To achieve the above object, the present invention adopts the following technical scheme that：
A kind of vehicle leasing information recommendation method, comprises the following steps：A, recorded from user with car, user social contact record,
User social contact network good friend's is obtained with least two records in car record and the social record of user social contact network good friend
Information of vehicles label；B, user's information of vehicles label interested is chosen from the information of vehicles label of acquisition；C, according to user
Information of vehicles label interested, recommend vehicle leasing information to user.
As a modification of the present invention, the step B is comprised the following steps that：Information of vehicles label progress to acquisition is excellent
First level sequence, chooses at least one information of vehicles label in the information of vehicles label after priority ranking is carried out in order, recognizes
It is user's information of vehicles label interested to be set to.
Further improve, the step B is comprised the following steps that：To the information of vehicles label obtained in being recorded from user with car
Priority ranking is carried out, obtains the first orderly information of vehicles tag set；To the information of vehicles obtained in being recorded from user social contact
Label carries out priority ranking, obtains the second orderly information of vehicles tag set；To being remembered with car from user social contact network good friend
The information of vehicles label obtained in record carries out priority ranking, obtains the 3rd orderly information of vehicles tag set；To from user society
Hand over the information of vehicles label obtained in the social record of network good friend to carry out priority ranking, obtain the 4th orderly information of vehicles mark
Label set；To the described first orderly information of vehicles tag set, the second orderly information of vehicles tag set, the 3rd orderly vehicle letter
Breath tag set, the 4th orderly information of vehicles tag set are normalized, and obtain at least one total orderly information of vehicles
Tag set；At least one information of vehicles label is chosen from total information of vehicles tag set in order in order to regard as being user's sense
The information of vehicles label of interest.
Further improve, the step B also comprises the following steps：User and social networks friend relation are analyzed,
Obtain the relation weight of user and social networks good friend；The car to being obtained from being recorded with car of user social contact network good friend
Information labels carry out priority ranking to be ranked up according to the relation weight；It is described to from user social contact network good friend's
The information of vehicles label obtained in social activity record carries out priority ranking to be ranked up according to the relation weight.
Further improve, the step C specifically comprises the following steps：By user's information of vehicles label interested and user
Establish the link；User is with selecting the linked information of vehicles label during car；To user recommend with it is selected described
The related vehicle leasing information of information of vehicles label.
Further improve, the vehicle tag information is included in type of vehicle, vehicle brand, manufacturer and operator
It is one or more.
Further improve, the social record includes experience scoring record and review record.
Due at least there is advantages below using above-mentioned technical proposal, the present invention：
The vehicle leasing information recommendation method of the present invention, remember from user and its being recorded with car for social networks good friend with social
Record obtains information of vehicles label, user's most probable information of vehicles label interested is excavated, according to user's vehicle interested
Information labels are that user recommends vehicle leasing information, realize the service of personalization, so as to recommend more accurately vehicle for user
Information of lease, it is beneficial to provide the user more convenient, efficient electric automobile timesharing lease services.
Brief description of the drawings
Above-mentioned is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention, below
With reference to accompanying drawing, the present invention is described in further detail with embodiment.
Fig. 1 is the flow chart of the vehicle leasing information recommendation method of the present invention.
Embodiment
It is shown in Figure 1, the invention provides a kind of vehicle leasing information recommendation method, comprise the following steps：From user
Recorded with car, the social activity with car record and user social contact network good friend of user social contact record, user social contact network good friend records
In at least two record in obtain information of vehicles label；User's vehicle interested is chosen from the information of vehicles label of acquisition
Information labels；According to user's information of vehicles label interested, recommend vehicle leasing information to user.
Using the above method, for simple record top contents of being hired a car according to user are shown in the prior art, energy
It is enough precisely, efficiently to recommend the vehicle leasing information that their most probables are liked for user, expand a key and hire a car scope, enhancing is recommended
Effect, improve the accuracy rate that a key is hired a car, user can obtain most probable vehicle leasing information interested, so as to realize into
The vehicle leasing information recommendation of row " one-to-one ", meets users ' individualized requirement.
The vehicle leasing information recommendation method of the present embodiment, the present invention will be described by taking electric automobile as an example, but this hair
It is bright to be not limited only to apply in electric automobile field, it can also be applied to other species such as fuel-engined vehicle, gas combustion automobile, bicycle
Vehicle, specifically comprise the following steps：
100th, user is analyzed with car record, obtains the electric automobile vehicle information labels during user is recorded with car,
The first information of vehicles tag set is obtained, information of vehicles label is included in type of vehicle, vehicle brand, manufacturer and operator
One or more.
101st, user social contact network good friend is analyzed with car record, obtains the electricity during social networks good friend is recorded with car
Electrical automobile information of vehicles label, obtain the 3rd information of vehicles tag set.
102nd, user social contact record is analyzed, obtains the electric automobile vehicle information labels in user social contact record,
The second information of vehicles tag set is obtained, user social contact record includes experience scoring record and review record.
103rd, the social record of user social contact network good friend is analyzed, obtains the electricity in the social record of social networks good friend
Electrical automobile information of vehicles label, obtain the 4th information of vehicles tag set.
104th, user social contact network friend relation is analyzed, obtains user and social networks friend relation weight.
105th, priority ranking is carried out to the information of vehicles label of acquisition, in order the vehicle after priority ranking is carried out
At least one information of vehicles label is chosen in information labels, it is user's information of vehicles label interested to regard as；And according to
Family information of vehicles label interested, recommend vehicle leasing information to user.
Wherein, priority ranking is carried out to the information of vehicles label of acquisition, in order the car after priority ranking is carried out
At least one information of vehicles label is chosen in information labels, it is user's information of vehicles label interested to regard as, specific bag
Include following steps：
1051st, respectively to the electric automobile vehicle in the first information of vehicles tag set and the second information of vehicles tag set
Information labels carry out priority ranking, respectively obtain the first orderly information of vehicles tag set and the second orderly information of vehicles label
Set；
1052nd, according to the relation weight of user and social networks good friend, respectively to the 3rd information of vehicles tag set and
Electric automobile vehicle information labels in four information of vehicles tag sets carry out priority ranking, respectively obtain the 3rd orderly vehicle
Information labels set and the 4th orderly information of vehicles tag set；
1053rd, to the first orderly information of vehicles tag set, the second orderly information of vehicles tag set, the 3rd orderly vehicle
Information labels set and the 4th orderly information of vehicles tag set are normalized, and obtain at least one total vehicle letter in order
Cease tag set.
1054th, sort by priority from total information of vehicles tag set in order and choose at least one information of vehicles label identification
To be user's information of vehicles label interested.
The above-mentioned information of vehicles label interested according to user, recommend vehicle leasing information to user, specifically include
Following steps：
1055th, user's information of vehicles label interested and user are established the link；
1056th, user is with selecting linked information of vehicles label during car；
1057th, the vehicle leasing information related to selected information of vehicles label is recommended to user, so as to be carried to user
For accurate effective electric automobile vehicle information of lease.
The vehicle leasing information recommendation method of the present invention, remember from user and its being recorded with car for social networks good friend with social
Record obtains information of vehicles label, user's most probable information of vehicles label interested is excavated, according to user's vehicle interested
Information labels are that user recommends vehicle leasing information, realize the service of personalization, so as to recommend more accurately vehicle for user
Information of lease, it is beneficial to provide the user more convenient, efficient electric automobile timesharing lease services.
The above described is only a preferred embodiment of the present invention, any formal limitation not is made to the present invention, this
Art personnel make a little simple modification, equivalent variations or modification using the technology contents of the disclosure above, all fall within this hair
In bright protection domain.
Claims (7)
1. a kind of vehicle leasing information recommendation method, it is characterised in that comprise the following steps：
A, recorded from user with car, user social contact record, user social contact network good friend with car record and user social contact network it is good
Information of vehicles label is obtained at least two records in the social record of friend；
B, user's information of vehicles label interested is chosen from the information of vehicles label of acquisition；
C, according to user's information of vehicles label interested, vehicle leasing information is recommended to user.
2. vehicle leasing information recommendation method according to claim 1, it is characterised in that the step B specific steps are such as
Under：
Priority ranking is carried out to the information of vehicles label of acquisition, in order the information of vehicles label after priority ranking is carried out
Middle to choose at least one information of vehicles label, it is user's information of vehicles label interested to regard as.
3. vehicle leasing information recommendation method according to claim 2, it is characterised in that the step B specific steps are such as
Under：
Priority ranking is carried out to the information of vehicles label obtained in being recorded from user with car, obtains the first orderly information of vehicles mark
Label set；
Priority ranking is carried out to the information of vehicles label obtained in being recorded from user social contact, obtains the second orderly information of vehicles mark
Label set；
Priority ranking is carried out to the information of vehicles label obtained from being recorded with car of user social contact network good friend, obtains the 3rd
Orderly information of vehicles tag set；
Priority ranking is carried out to the information of vehicles label obtained from the social record of user social contact network good friend, obtains the 4th
Orderly information of vehicles tag set；
To the described first orderly information of vehicles tag set, the second orderly information of vehicles tag set, the 3rd orderly information of vehicles
Tag set, the 4th orderly information of vehicles tag set are normalized, and obtain at least one total information of vehicles mark in order
Label set；
At least one information of vehicles label is chosen from total information of vehicles tag set in order in order to regard as being that user is interested
Information of vehicles label.
4. vehicle leasing information recommendation method according to claim 3, it is characterised in that the step B also includes as follows
Step：
User and social networks friend relation are analyzed, obtain the relation weight of user and social networks good friend；
It is described that to carry out priority ranking to the information of vehicles label that is obtained from being recorded with car of user social contact network good friend be root
It is ranked up according to the relation weight；
The information of vehicles label progress priority ranking to being obtained from the social record of user social contact network good friend is root
It is ranked up according to the relation weight.
5. according to the vehicle leasing information recommendation method described in claim any one of 1-4, it is characterised in that the step C tools
Body comprises the following steps：
User's information of vehicles label interested and user are established the link；
User is with selecting the linked information of vehicles label during car；
Recommend the vehicle leasing information related to the selected information of vehicles label to user.
6. vehicle leasing information recommendation method according to claim 5, it is characterised in that the vehicle tag information includes
One or more in type of vehicle, vehicle brand, manufacturer and operator.
7. vehicle leasing information recommendation method according to claim 5, it is characterised in that the social record includes experience
Scoring record and review record.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711008225.1A CN107705190A (en) | 2017-10-25 | 2017-10-25 | A kind of vehicle leasing information recommendation method |
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| CN201711008225.1A CN107705190A (en) | 2017-10-25 | 2017-10-25 | A kind of vehicle leasing information recommendation method |
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Cited By (6)
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| CN109615475A (en) * | 2018-12-12 | 2019-04-12 | 睿驰达新能源汽车科技（北京）有限公司 | A kind of providing method, device, equipment and the medium of vehicle leasing business service |
| CN110245288A (en) * | 2019-05-17 | 2019-09-17 | 深圳市元征科技股份有限公司 | A kind of vehicle match method and device based on multidimensional evaluation system |
| CN111091437A (en) * | 2018-10-23 | 2020-05-01 | 现代自动车株式会社 | Vehicle sharing service apparatus and method of operating the same |
| CN111612578A (en) * | 2020-05-15 | 2020-09-01 | 众能联合数字技术有限公司 | Engineering data recommendation method for engineering machinery rental scene by means of multi-attribute analysis |
| CN112444259A (en) * | 2019-08-28 | 2021-03-05 | 本田技研工业株式会社 | Action plan generating device, action plan generating method, and storage medium |
| CN112508649A (en) * | 2020-12-11 | 2021-03-16 | 北京首汽智行科技有限公司 | Recommendation method for vehicle rental commercial tenants |
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| CN112508649A (en) * | 2020-12-11 | 2021-03-16 | 北京首汽智行科技有限公司 | Recommendation method for vehicle rental commercial tenants |
| CN112508649B (en) * | 2020-12-11 | 2024-03-15 | 北京首汽智行科技有限公司 | Recommendation method for vehicle leasing merchant |
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Application publication date: 20180216 |