CN108255997A - A kind of Forecasting Methodology and system of destination of calling a taxi - Google Patents
A kind of Forecasting Methodology and system of destination of calling a taxi Download PDFInfo
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Abstract
The present invention provides a kind of Forecasting Methodology and system of destination of calling a taxi, the method includes：The information of calling a taxi of user equipment to report is received, user information is included at least in the information of calling a taxi, current call a taxi and is currently called a taxi the departure time at departure place；According to the information of calling a taxi of user, the destination of calling a taxi of user is predicted, and user is recommended into the destination of calling a taxi of prediction, is selected for user.The present invention can be according to call a taxi departure time and the departure place of calling a taxi of user, the destination of calling a taxi of user is predicted, and purposefully recommended to user, the Experience Degree of user can be improved, while also solve the problems, such as that current user inputs the cumbersome of destination.
Description
Technical field
The present invention relates to technical field of information processing, a kind of Forecasting Methodology more particularly, to destination of calling a taxi and it is
System.
Background technology
Beat as a kind of important mode by bus, it is more and more common, in order to adapt to the demand called a taxi, occur in the market
A lot of taxi-hailing softwares supplies the user to carry out chauffeur on the internet.
At present, user needs the input address in address searching frame to scan for when taxi-hailing software is used to be called a taxi,
And the terminal for stroke of calling a taxi is set according to the mode that search listing selects.This kind is called a taxi the inadequate hommization of mode, is placed one's entire reliance upon
The input of user, it is too single, while come single user is completely isolated, it can not be associated with other users.
Invention content
The present invention provides a kind of one kind for overcoming the above problem or solving the above problems at least partly and calls a taxi destination
Forecasting Methodology and system.
According to an aspect of the invention, there is provided a kind of Forecasting Methodology for destination of calling a taxi, including：
The information of calling a taxi of user equipment to report is received, user information is included at least in the information of calling a taxi, is currently called a taxi out
It sends out ground and currently calls a taxi the departure time, wherein, the current departure place of calling a taxi obtains automatically for user equipment；
According to the user information, current call a taxi departure place and the current departure time and according in server of calling a taxi
In pre-stored user's history chauffeur information, predict at least one destination of calling a taxi of user；Alternatively, believed according to the user
Breath and the current departure place and according to pre-stored hot spot place of calling a taxi, predict at least one purpose of calling a taxi of user
Ground；
At least one destination of calling a taxi is issued to user equipment, so that user is selected.
On the basis of above-mentioned base case, the present invention can also improve as follows.
Further, it is described according to the user information, it is current call a taxi departure place and it is current call a taxi the departure time and
According to pre-stored user's history chauffeur information in the server, predict that at least one destination of calling a taxi of user is specifically wrapped
It includes：
User information in the information of calling a taxi, current call a taxi and are currently called a taxi the departure time at departure place, pre-
Inquiry departure place and described is currently called a taxi the departure time with current call a taxi in the history chauffeur information of the user first stored
Corresponding at least one destination of calling a taxi；
At least one destination of calling a taxi is ranked up according to the visiting frequency, by the first forward predetermined number that sorts
Call a taxi destination as prediction user destination of calling a taxi.
Further, it is described to set out in the history chauffeur information inquiry of the pre-stored user with current call a taxi
Ground and current departure time corresponding at least one destination of calling a taxi of calling a taxi specifically include：
Determine the period belonging to the current departure time, the period to divide per hour daily；
According to the period belonging to the current departure time, looked into the history chauffeur information of the pre-stored user
The destination of calling a taxi of the user period daily in nearest preset number of days is ask, obtains corresponding multiple purposes of calling a taxi
Ground；
Wherein, being counted in the history chauffeur information of user, which has the user to call a taxi in each daily period, sets out
Ground and destination of calling a taxi.
Further, it is described according to the user information and the current departure place and according to pre-stored of calling a taxi
Hot spot place predicts that at least one destination of calling a taxi of user specifically includes：
User information in information of calling a taxi according to reporting sets class label to the hobby of the user；
According to the class label of the user, search that belong to same category of other users with the user frequent in the database
Multiple hot spot places of visiting；
The multiple hot spot place is ranked up according to the visiting frequency, by the hot spot of the second forward predetermined number that sorts
At least one call a taxi destination of the place as the user of prediction.
Further, it is described according to the user information and the current departure place and according to pre-stored of calling a taxi
Hot spot place predicts that at least one destination of calling a taxi of user specifically includes：
Class label is set to the hobby of user, searches belong to same category of other with the user in the database
Multiple places that user frequently visits；
It filters out from the multiple hot spot place found and is preset with departure place of currently calling a taxi in the information of calling a taxi
All hot spot places in distance；To all hot spot places in the pre-determined distance that filters out according to the visiting frequency into
Row sequence, using the place of third predetermined number for sorting forward as the destination of calling a taxi of the user of prediction.
Further, it further includes：
All destinations of calling a taxi in information of being called a taxi according to the history of a user, to all mesh of calling a taxi of a user
Ground be ranked up according to the visiting frequency, according to sorting, forward destination of calling a taxi sets classification mark to the hobby of the user
Label.
Further, it is described at least one destination of calling a taxi to be recommended to specifically include to user equipment：
User equipment is handed down to, and in the client map of user equipment at least one destination of calling a taxi of prediction
Upper displaying at least one destination and according at least one destination of calling a taxi of calling a taxi, shows on client map
Show corresponding guiding chauffeur button.
Further, it further includes：
When the map moving operation for detecting user instructs, perform the guiding chauffeur removed on client map and press
The operation of button；And
When detecting clicking operation of the user to the guiding chauffeur button, chauffeur operation is performed.
According to another aspect of the present invention, a kind of forecasting system for destination of calling a taxi is provided, including：
Receiving module includes at least user for receiving the information of calling a taxi of user equipment to report, in the information of calling a taxi and believes
Breath, current call a taxi and currently are called a taxi the departure time at departure place, wherein, the current departure place of calling a taxi is that user equipment obtains automatically
It takes；
Prediction module, for according to the user information, it is current call a taxi departure place and it is current call a taxi the departure time and
According to pre-stored user's history chauffeur information in the server, at least one destination of calling a taxi of user is predicted；Alternatively, with
According to the user information and the current departure place and according to pre-stored hot spot place of calling a taxi, predict user's
At least one destination of calling a taxi；
Recommending module, for issuing at least one destination of calling a taxi to user equipment, so that user is selected.
According to a further aspect of the invention, a kind of non-transient computer readable storage medium storing program for executing is provided, it is described non-transient
Computer-readable recording medium storage computer instruction, the computer instruction make the computer perform the pre- of destination of calling a taxi
Survey method.
The Forecasting Methodology and system of a kind of destination of calling a taxi provided by the invention, being capable of calling a taxi the departure time according to user
With departure place of calling a taxi, the destination of calling a taxi of user is predicted, and purposefully recommended to user, user can be improved
Experience Degree, while also solve the problems, such as that current user inputs the cumbersome of destination.
Description of the drawings
Fig. 1 is the Forecasting Methodology flow chart of the destination of calling a taxi of one embodiment of the invention；
Fig. 2 is that the forecasting system of the destination of calling a taxi of one embodiment of the invention connects block diagram；
Fig. 3 is that the forecasting system of the destination of calling a taxi of another embodiment of the present invention connects block diagram；
Fig. 4 is that the inside of prediction module in Fig. 3 connects block diagram；
Fig. 5 is that the forecasting system of the destination of calling a taxi of another embodiment of the invention connects block diagram；
Fig. 6 is that the inside of prediction module in Fig. 5 connects block diagram；
Fig. 7 is that the electronic equipment of further embodiment of the present invention connects block diagram.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but be not limited to the scope of the present invention.
Referring to Fig. 1, the Forecasting Methodology of the destination of calling a taxi of one embodiment of the invention is provided, including：User is received to set
The standby information of calling a taxi reported includes at least user information in the information of calling a taxi, current calls a taxi departure place and current call a taxi is set out
Time；According to the user information, current call a taxi departure place and the current departure time and according to pre- in the server of calling a taxi
The user's history chauffeur information first stored predicts at least one destination of calling a taxi of user；Alternatively, according to the user information and
The current departure place and according to pre-stored hot spot place of calling a taxi, predicts at least one destination of calling a taxi of user；To
User equipment issues at least one destination of calling a taxi, so that user is selected.
The present embodiment can be predicted the destination of calling a taxi of user according to the information of calling a taxi of reporting of user.Specifically,
When user needs to call a taxi, departure place of calling a taxi is selected in the place that can be once stored from user equipment, wherein, it calls a taxi out
Hair ground can include latitude and longitude information and the address name description in user location etc., can describe to select according to address name
It calls a taxi departure place.For example, user often calls a taxi from family or company, then record is had in user equipment, i.e., in a user device can
Store the address of family or the address of company.At this point, user directly can select currently to beat from these common addresses of calling a taxi
Vehicle starting point.If there is no record once in user equipment, the user equipment carried can be used to carry out current location
Positioning obtains the current departure place of calling a taxi of user, inputs the ground for departure place of calling a taxi into user equipment so there is no need to user
User information and current departure place of calling a taxi are reported to server by location information, user equipment, wherein, user information is usually
User logs in the account of taxi-hailing software server.After server receives the information of calling a taxi of user equipment to report, according to once depositing
Hot spot place near the user information of storage, user's history chauffeur information and current departure place of calling a taxi, predicts that the user may
Destination of calling a taxi, predict come the possible destination of calling a taxi of the user usually have it is multiple.Multiple calling a taxi of coming will be predicted
User equipment is recommended in destination, so that user is selected on a user device.
It is described according to the user information, currently beat in one embodiment of the present of invention on the basis of above-described embodiment
Vehicle departure place and the current departure time and according to pre-stored user's history chauffeur information in the server of calling a taxi, in advance
At least one destination of calling a taxi for surveying user specifically includes：User information, current call a taxi in the information of calling a taxi are set out
It ground and currently calls a taxi the departure time, inquires in the history chauffeur information of the pre-stored user and currently call a taxi out with described
Hair ground at least one destination of calling a taxi corresponding with the departure time of currently calling a taxi；By it is described it is at least one call a taxi destination by
It shines the visit frequency to be ranked up, using call a taxi mesh of the destination as the user of prediction of calling a taxi for the first forward predetermined number that sorts
Ground.
Specifically, according to the information of calling a taxi of user equipment to report, the method predicted the destination of calling a taxi of user has
It is a variety of, it proposes and a kind of is called a taxi the method that information predicted according to user's history in the present embodiment.Foregoing illustrates user's
Information of calling a taxi includes user information, departure place of currently calling a taxi, and further includes and currently calls a taxi the departure time.The method predicted
According to the user information in information of calling a taxi, the corresponding history of the user information to be searched in the database of server and is called a taxi letter
Breath, wherein, history information of calling a taxi includes calling a taxi departure place, call a taxi departure time and destination of calling a taxi.If it searches in the database
History less than the user is called a taxi information, then other Forecasting Methodology can be taken to predict the destination of calling a taxi of the user,
Extended meeting is talked about afterwards, herein without explanation.
The information if history for finding the user in the database is called a taxi, the history of user call a taxi in information inquiry with
Current departure place of calling a taxi at least one destination of calling a taxi corresponding with the current departure time of calling a taxi of user.Then these are called a taxi
Destination can also be ranked up, by calling a taxi for the first forward predetermined number that sorts according to the visiting frequency according to visiting number
Call a taxi destination of the destination as the user of prediction, and recommend user.
It is described in the pre-stored user in an alternative embodiment of the invention on the basis of the various embodiments described above
History chauffeur information inquiry in it is described it is current call a taxi departure place and the current departure time of calling a taxi it is corresponding at least one
Destination of calling a taxi specifically includes：Determine the period belonging to the current departure time, the period is with daily per hour
It divides；According to the period belonging to the current departure time, inquired in the history chauffeur information of the pre-stored user
The destination of calling a taxi of the user period daily in nearest preset number of days, obtains corresponding multiple purposes of calling a taxi
Ground；Wherein, in the history chauffeur information of user statistics have the user call a taxi in each daily period departure place and
It calls a taxi destination.
During information of being called a taxi according to the history of user predicts the destination of calling a taxi of user, the number of server
It is call a taxi information of each user within each period according to what is counted in library, wherein, the period is with daily per hour
It is divided.Currently calling a taxi the departure time in the information of calling a taxi of reporting of user, determines that this is currently called a taxi the departure time
The affiliated period.According to the period determined, pre-stored user's history is called a taxi and is inquired in information in the database
The destination of calling a taxi of the user this period daily in nearest preset number of days, this can just obtain user above-mentioned
This period all destinations of calling a taxi.
Wherein, call a taxi in this destination prediction mode under, can also include a kind of fairly simple prediction mode,
For example, user set common address, such as the address of family and the address of company on a user device.If Mon-Fri
In 8 points or so of morning some day, substantially belong to the work hours, the located sites of user equipment are the addresses being in, then prediction
Destination can be CompanyAddress；If or so Mon-Fri 6 pm some day, when substantially belonging to next
Between, the located sites of user equipment are in CompanyAddress, then the destination of prediction is exactly family.
It is described according to the user information and institute in one embodiment of the present of invention on the basis of the various embodiments described above
The current departure place and according to pre-stored hot spot place of calling a taxi is stated, predicts that at least one destination of calling a taxi of user is specific
Including：User information in information of calling a taxi according to reporting sets class label to the hobby of the user；According to this
The class label of user is searched belong to multiple hot spots that same category of other users frequently visit with the user in the database
Place；The multiple hot spot place is ranked up according to the visiting frequency, by the hot spot for the second forward predetermined number that sorts
At least one call a taxi destination of the point as the user of prediction.
Foregoing illustrates there are many Forecasting Methodologies to the destination of calling a taxi of user, above describe the history according to user
Information call a taxi to be predicted, can also be predicted by other methods, present embodiments provides a kind of different from aforementioned
Forecasting Methodology Forecasting Methodology, in addition, when the history using user calls a taxi information come when predicting, if in the database of server
In do not find user history call a taxi information when, can also be called a taxi using Forecasting Methodology provided in this embodiment to user
It is predicted destination.
Specifically Forecasting Methodology is：When server receive reporting of user call a taxi information when, according in information of calling a taxi
User information sets class label to the hobby of the user, for example, the user enjoys shopping, likes watching music performance
Can etc..Then it according to the class label of the user, searches in the database and the user belongs to same category of other users and exists
Multiple places that this city is frequently visited, wherein, the place that other users of same hobby classification often visit, it is likely that
And the place to be visited of the user.This place may have very much, in the present embodiment by these places according to the visiting frequency
It is ranked up, using the place for the second forward predetermined number that sorts as the destination of calling a taxi of the user of prediction, and recommends use
Family.
It is described according to the user information and institute in one embodiment of the present of invention on the basis of the various embodiments described above
The current departure place and according to pre-stored hot spot place of calling a taxi is stated, predicts that at least one destination of calling a taxi of user is specific
Including：Class label is set to the hobby of user, searches belong to same category of other use with the user in the database
Multiple places that family is frequently visited；It is filtered out from the multiple hot spot place found with currently being beaten in the information of calling a taxi
All hot spot places in the pre-determined distance of vehicle departure place；All hot spots in the pre-determined distance that filters out are pressed
It shines the visit frequency to be ranked up, using the place of third predetermined number for sorting forward as the destination of calling a taxi of the user of prediction.
It is found from database by above-described embodiment and belongs to what same category of other users frequently visited with user
Multiple places, for a user, it will usually go to the place nearer apart from current departure place, therefore, the present embodiment is also to searching
Obtained multiple places are screened, departure place pre-determined distance of currently calling a taxi in the information that filters out and call a taxi from all places
Interior at least one place, at least one hot spot place near departure place of currently calling a taxi as user, pre-determined distance therein
Can be centered on the current departure place of user, place in the range of pre-set radius is known as place nearby, hot spot that will be neighbouring
Place screens, and recommends user.For example, consumer taste is done shopping, then this city is first searched in the database and has deep love for shopping
Then the shopping site that the user of this group often goes filters out in this shopping site and currently sends out distance apart from user
From the hot spot shopping site within 5km, user is recommended into the shopping hot spot place near these.
On the basis of the various embodiments described above, in one embodiment of the present of invention, further include：According to the history of a user
All destinations of calling a taxi in information of calling a taxi are ranked up all destinations of calling a taxi of a user according to the visiting frequency,
According to sorting, forward destination of calling a taxi sets class label to the hobby of the user.
It is specifically to be called a taxi letter according to the history of each user to the foundation of the hobby of user setting class label
All destinations of calling a taxi in breath, to recently a period of time in each user it is all call a taxi destination according to visiting the frequency into
Row sequence, according to sorting, forward destination of calling a taxi sets class label to the hobby of user.For example, a user is most
It often goes to the Shopping Mall in nearly a period of time, then to the class label of user setting hobby shopping.
It should be noted that in the hobby for determining user, server can also provide multiple types to user equipment
Distinguishing label is selected for user, in such cases, is just analyzed without server according to user behavior.
On the basis of the various embodiments described above, in one embodiment of the present of invention, it is described to user equipment recommend described in extremely
A few destination of calling a taxi specifically includes：User equipment is handed down at least one destination of calling a taxi of prediction, and with
At least one destination and according at least one purpose of calling a taxi of calling a taxi is shown on the client map of family equipment
Ground shows corresponding guiding chauffeur button on client map.
Shown on the client map of user equipment it is at least one call a taxi destination when, usually in the form of combobox into
Row displaying, so that user is selected.
On the basis of the various embodiments described above, in an alternative embodiment of the invention, further include：When the ground for detecting user
When figure moving operation instructs, the operation for removing the guiding chauffeur button on client map is performed；And when detecting use
Family to it is described guiding chauffeur button clicking operation when, perform chauffeur operation.
User equipment is handed down to, and in the visitor of user equipment at least one destination of calling a taxi of prediction by aforementioned server
On the map of family end displaying recommend call a taxi destination and shown on map it is corresponding guiding chauffeur button.User can select
One of those destination of calling a taxi is selected, any one destination of calling a taxi therein can not also be selected.When user's selection is therein
During one destination, the guiding chauffeur button on map can be clicked, to perform chauffeur operation；If user does not select it
Any one of destination of calling a taxi, then directly client map can be slipped over by moving map, when server detect
To map moving operation instruction when, then remove the guiding chauffeur button on client map.
Referring to Fig. 2, provide the forecasting system of the destination of calling a taxi of one embodiment of the invention, including receiving module 21,
Prediction module 22 and recommending module 23.
Wherein, receiving module 21 for receiving the information of calling a taxi of user equipment to report, include at least in the information of calling a taxi
User information, current call a taxi and currently are called a taxi the departure time at departure place, wherein, it is described it is current call a taxi departure place for user equipment oneself
It is dynamic to obtain.
Prediction module 22, for departure place and currently being called a taxi the departure time according to the user information, current call a taxi, with
And according to pre-stored user's history chauffeur information in the server, predict at least one destination of calling a taxi of user；Alternatively,
For according to the user information and the current departure place and according to pre-stored hot spot place of calling a taxi, predicting user
At least one destination of calling a taxi.
Recommending module 23, for issuing at least one destination of calling a taxi to user equipment, so that user is selected.
Referring to Fig. 3, the forecasting system of the destination of calling a taxi of another embodiment of the present invention is provided, including receiving module
21st, prediction module 22, recommending module 23, display module 24 and execution module 25.
For receiving the information of calling a taxi of user equipment to report, user is included at least in the information of calling a taxi for receiving module 21
Information, current call a taxi and currently are called a taxi the departure time at departure place, wherein, the current departure place of calling a taxi is that user equipment obtains automatically
It takes.
Prediction module 22, for departure place and currently being called a taxi the departure time according to the user information, current call a taxi, with
And according to pre-stored user's history chauffeur information in the server, predict at least one destination of calling a taxi of user；Alternatively,
For according to the user information and the current departure place and according to pre-stored hot spot place of calling a taxi, predicting user
At least one destination of calling a taxi.
Recommending module 23, for issuing at least one destination of calling a taxi to user equipment, so that user is selected.
Referring to Fig. 4, the prediction module 22 includes query unit 221 and sequencing unit 222, wherein, query unit 221,
It departure place and currently calls a taxi the departure time for the user information in information of calling a taxi according to, current call a taxi, is deposited in advance
In the history chauffeur information of the user of storage inquiry with it is described it is current call a taxi departure place and the departure time of currently calling a taxi it is corresponding
At least one destination of calling a taxi.
For at least one destination of calling a taxi to be ranked up according to the visiting frequency, sequence is leaned on for sequencing unit 222
Call a taxi destination of the destination as the user of prediction of calling a taxi of the first preceding predetermined number.
Display module 24, at least one destination of calling a taxi predicted to be handed down to user equipment, and in user
At least one destination and according at least one destination of calling a taxi of calling a taxi is shown on the client map of equipment,
Corresponding guiding chauffeur button is shown on client map.
Execution module 25, for when the map moving operation for detecting user instructs, performing and removing on client map
The guiding chauffeur button operation；And it is additionally operable to work as and detects clicking operation of the user to the guiding chauffeur button
When, perform chauffeur operation.
Referring to Fig. 5, the forecasting system of the destination of calling a taxi of another embodiment of the invention is provided, including receiving module
21st, prediction module 22, recommending module 23, display module 24, execution module 25 and setup module 26.
Wherein, receiving module 21 for receiving the information of calling a taxi of user equipment to report, include at least in the information of calling a taxi
User information, current call a taxi and currently are called a taxi the departure time at departure place, wherein, it is described it is current call a taxi departure place for user equipment oneself
It is dynamic to obtain.
Prediction module 22, for departure place and currently being called a taxi the departure time according to the user information, current call a taxi, with
And according to pre-stored user's history chauffeur information in the server, predict at least one destination of calling a taxi of user；Alternatively,
For according to the user information and the current departure place and according to pre-stored hot spot place of calling a taxi, predicting user
At least one destination of calling a taxi.
Recommending module 23, for issuing at least one destination of calling a taxi to user equipment, so that user is selected.
Referring to Fig. 6, prediction module 22 includes query unit 221, screening unit 222 and sequencing unit 233.
Query unit 221, specifically for determining the period belonging to the current departure time, the period is with every
It is divided per hour；According to the period belonging to the current departure time, believe in the history chauffeur of the pre-stored user
The destination of calling a taxi of the user period daily in nearest preset number of days is inquired in breath, obtains corresponding multiple beat
Vehicle destination；Wherein, statistics has the user to call a taxi out in each daily period in the history chauffeur information of user
Hair ground and destination of calling a taxi.
Setup module 26, for the user information in information of calling a taxi according to reporting, to the hobby of the user
Class label is set, correspondingly, query unit 221, for the class label according to the user, is searched and the use in the database
Family belongs to multiple hot spot places that same category of other users frequently visit.
Sequencing unit 223 for being ranked up to the multiple hot spot place according to the visiting frequency, will sort forward the
At least one call a taxi destination of the hot spot place of two predetermined numbers as the user of prediction.
Wherein, screening unit 222 can also be included between query unit 221 and sequencing unit 223, for from from lookup
To the multiple hot spot place in filter out with currently call a taxi in the information of calling a taxi it is all in the pre-determined distance of departure place
Hot spot place；Correspondingly, sequencing unit 223, for all hot spot places in the pre-determined distance filtered out according to
The visiting frequency is ranked up, using the place of third predetermined number for sorting forward as the destination of calling a taxi of the user of prediction.
Wherein, setup module 26, specifically for all destinations of calling a taxi in information of being called a taxi according to the history of a user,
All destinations of calling a taxi of one user are ranked up according to the visiting frequency, according to forward destination of calling a taxi of sorting to this
The hobby setting class label of user.
Display module 24, at least one destination of calling a taxi predicted to be handed down to user equipment, and in user
At least one destination and according at least one destination of calling a taxi of calling a taxi is shown on the client map of equipment,
Corresponding guiding chauffeur button is shown on client map.
Execution module 25, for when the map moving operation for detecting user instructs, performing and removing on client map
The guiding chauffeur button operation；And it is additionally operable to work as and detects clicking operation of the user to the guiding chauffeur button
When, perform chauffeur operation.
It is a kind of electronic equipment of the present invention referring to Fig. 7, including：Processor (processor) 701, memory (memory)
702 and bus 703；Wherein, the processor 701 and memory 702 complete mutual communication by the bus 703.
The processor 701 is used to call the program instruction in the memory 702, to perform above-mentioned each method embodiment
The method provided, such as including：The information of calling a taxi of user equipment to report is received, including at least user in the information of calling a taxi believes
Breath, current call a taxi and are currently called a taxi the departure time at departure place；It departure place and is currently beaten according to the user information, current call a taxi
Vehicle departure time and according to pre-stored user's history chauffeur information in the server, predict that at least one of user beats
Vehicle destination；Alternatively, according to the user information and the current departure place and according to pre-stored hot spot of calling a taxi
Point predicts at least one destination of calling a taxi of user；At least one destination of calling a taxi is issued to user equipment, for user
It is selected.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
Technical solution is stated substantially in other words to embody the part that the prior art contributes in the form of software product, it should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers
It enables and (can be personal computer, server or the network equipment etc.) so that computer equipment is used to perform each implementation
Certain Part Methods of example or embodiment.
The Forecasting Methodology and system of a kind of destination of calling a taxi provided by the invention the departure time and are beaten according to calling a taxi for user
Vehicle departure place predicts, and purposefully recommended to user the destination of calling a taxi of user by a variety of Forecasting Methodologies,
The Experience Degree of user can be improved, while also solves the cumbersome influence that current user inputs destination.
Finally, the present processes are only preferable embodiment, are not intended to limit the scope of the present invention.It is all
Within the spirit and principles in the present invention, any modification, equivalent replacement, improvement and so on should be included in the protection of the present invention
Within the scope of.
Claims (10)
1. a kind of Forecasting Methodology for destination of calling a taxi, which is characterized in that including：
The information of calling a taxi of user equipment to report is received, user information, departure place of currently calling a taxi are included at least in the information of calling a taxi
With currently call a taxi the departure time, wherein, the current departure place of calling a taxi obtains automatically for user equipment；
According to the user information, current call a taxi departure place and the current departure time and according to pre- in the server of calling a taxi
The user's history chauffeur information first stored predicts at least one destination of calling a taxi of user；Alternatively, according to the user information and
The current departure place and according to pre-stored hot spot place of calling a taxi, predicts at least one destination of calling a taxi of user；
At least one destination of calling a taxi is issued to user equipment, so that user is selected.
2. the Forecasting Methodology of as described in claim 1 destination of calling a taxi, which is characterized in that it is described according to the user information,
It is current to call a taxi departure place and current call a taxi and is believed at the departure time according to pre-stored user's history chauffeur in the server
Breath, predicts that at least one destination of calling a taxi of user specifically includes：
User information in the information of calling a taxi, current call a taxi and are currently called a taxi the departure time at departure place, are deposited in advance
In the history chauffeur information of the user of storage inquiry with it is described it is current call a taxi departure place and the departure time of currently calling a taxi it is corresponding
At least one destination of calling a taxi；
At least one destination of calling a taxi is ranked up according to the visiting frequency, by beating for the first forward predetermined number that sorts
Call a taxi destination of the vehicle destination as the user of prediction.
3. the Forecasting Methodology of destination as claimed in claim 2 of calling a taxi, which is characterized in that described in the pre-stored user
History chauffeur information inquiry in it is described it is current call a taxi departure place and the current departure time of calling a taxi it is corresponding at least one
Destination of calling a taxi specifically includes：
Determine the period belonging to the current departure time, the period to divide per hour daily；
According to the period belonging to the current departure time, inquiry should in the history chauffeur information of the pre-stored user
The destination of calling a taxi of user's period daily in nearest preset number of days, obtains corresponding multiple destinations of calling a taxi；
Wherein, in the history chauffeur information of user statistics have the user call a taxi in each daily period departure place and
It calls a taxi destination.
4. the Forecasting Methodology of as described in claim 1 destination of calling a taxi, which is characterized in that it is described according to the user information and
The current departure place and according to pre-stored hot spot place of calling a taxi, predicts at least one destination tool of calling a taxi of user
Body includes：
User information in information of calling a taxi according to user equipment to report sets classification mark to the hobby of the user
Label；
According to the class label of the user, lookup in the database belongs to same category of other users with the user and frequently visits
Multiple hot spot places；
The multiple hot spot place is ranked up according to the visiting frequency, by the hot spot place of the second forward predetermined number of sorting
At least one destination of calling a taxi of user as prediction.
5. the Forecasting Methodology of as described in claim 1 destination of calling a taxi, which is characterized in that it is described according to the user information and
The current departure place and according to pre-stored hot spot place of calling a taxi, predicts at least one destination tool of calling a taxi of user
Body includes：
Class label is set to the hobby of user, searches belong to same category of other users with the user in the database
The multiple places frequently visited；
It is filtered out from the multiple hot spot place found and departure place pre-determined distance of currently calling a taxi in the information of calling a taxi
Interior all hot spot places；
All hot spot places in the pre-determined distance that filters out are ranked up according to the visiting frequency, it is forward by sorting
Call a taxi destination of the place of third predetermined number as the user of prediction.
6. the Forecasting Methodology for destination of calling a taxi as described in claim 4 or 5, which is characterized in that further include：
All destinations of calling a taxi in information of being called a taxi according to the history of a user, to all destinations of calling a taxi of a user
It is ranked up according to the visiting frequency, according to sorting, forward destination of calling a taxi sets class label to the hobby of the user.
7. the Forecasting Methodology of destination as described in claim 1 of calling a taxi, which is characterized in that described to described in user equipment recommendation
At least one destination of calling a taxi specifically includes：
User equipment is handed down to, and opened up on the client map of user equipment at least one destination of calling a taxi of prediction
Show at least one destination and according at least one destination of calling a taxi of calling a taxi, the display pair on client map
The guiding chauffeur button answered.
8. the Forecasting Methodology of destination as claimed in claim 7 of calling a taxi, which is characterized in that further include：
When the map moving operation for detecting user instructs, perform and remove the guiding chauffeur button on client map
Operation；And
When detecting clicking operation of the user to the guiding chauffeur button, chauffeur operation is performed.
9. a kind of forecasting system for destination of calling a taxi, which is characterized in that including：
Receiving module, included at least for receiving the information of calling a taxi of user equipment to report, in the information of calling a taxi user information, when
Before call a taxi and departure place and currently call a taxi the departure time, wherein, the current departure place of calling a taxi is that user equipment obtains automatically；
Prediction module, for according to the user information, it is current call a taxi departure place and it is current call a taxi the departure time and according to
Pre-stored user's history chauffeur information in the server predicts at least one destination of calling a taxi of user；Alternatively, for root
According to the user information and the current departure place and according to pre-stored hot spot place of calling a taxi, predict user at least
One destination of calling a taxi；
Recommending module, for issuing at least one destination of calling a taxi to user equipment, so that user is selected.
10. a kind of non-transient computer readable storage medium storing program for executing, which is characterized in that the non-transient computer readable storage medium storing program for executing is deposited
Computer instruction is stored up, the computer instruction makes the computer perform the method as described in claim 1-8 is any.
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| CN109558545A (en) * | 2019-01-07 | 2019-04-02 | 北京三快在线科技有限公司 | Information recommendation method, device, electronic equipment and readable storage medium storing program for executing |
| CN109949068A (en) * | 2019-01-09 | 2019-06-28 | 深圳北斗应用技术研究院有限公司 | A real-time carpooling method and device based on prediction results |
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| CN112632392A (en) * | 2020-12-30 | 2021-04-09 | 北京嘀嘀无限科技发展有限公司 | Method, apparatus, device, medium and program product for determining candidate get-off location |
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