CN106919996A - A kind of destination Forecasting Methodology and device - Google Patents
A kind of destination Forecasting Methodology and device Download PDFInfo
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- CN106919996A CN106919996A CN201511000093.9A CN201511000093A CN106919996A CN 106919996 A CN106919996 A CN 106919996A CN 201511000093 A CN201511000093 A CN 201511000093A CN 106919996 A CN106919996 A CN 106919996A
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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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
Abstract
The invention provides a kind of destination Forecasting Methodology, the method includes：When having input instruction in monitoring destination input frame, obtain UE in current departure place information and to should departure place information current departure time point；By the current departure place information and to should the current departure time point of departure place information send to server so that server be based on the UE preset time periods historical data and the current departure place information, to should the current departure time point of departure place information obtain multiple destination informations to be selected；The destination information that the reception server determines, the destination information is shown in the lower section of the destination input frame with tabular form.The present invention provides a kind of destination Forecasting Methodology and device, and current departure place and point of current departure time, the accuracy predicted with improve trip purpose of user are considered when the prediction on user's trip purpose ground is carried out, and improves Consumer's Experience.
Description
Technical field
The present invention relates to computer processing technology field, more particularly to a kind of destination Forecasting Methodology
And device.
Background technology
Mobile Internet changes trip mode and the experience of people, and the use of taxi take system is more next
More universal, user can easily pass through to pacify on user equipment (User Equipment, abbreviation UE)
The taxi take system issue of dress is called a taxi demand, and user when using taxi take system chauffeur, it is necessary to manually
The address information of destination is input into, this causes the inconvenient and time on certain procedures to user
Waste.
Existing destination Forecasting Methodology does simple statistics to user's history destination, and user is gone through
The access times in certain hour of history destination are ranked up by order from big to small, selection
The most historical destination of access times is used as the trip purpose ground predicted；Or by user's history
By from being closely ranked up to remote order, selection makes the use time of destination last time recently
Historical destination is used as the trip purpose ground predicted.
However, existing destination Forecasting Methodology does not account for user's travel time point and user goes out
Influence of the hair ground to destination prediction, causes the result of prediction inaccurate.Existing user's trip
It is on the contrary a kind of interference that the Forecasting Methodology of destination is compared and is manually entered the mode of destination, is reduced
Consumer's Experience, the accuracy of the prediction that has much room for improvement.
The content of the invention
For the defect that the forecasting inaccuracy of existing destination is true, the present invention proposes following technical side
Case：
A kind of destination Forecasting Methodology, including：
When having input instruction in monitoring destination input frame, the current departure place in UE is obtained
Information and to should departure place information current departure time point；
By the current departure place information and to should departure place information current departure time point hair
Deliver to server so that server be based on the UE preset time periods historical data and it is described work as
Preceding departure place information, to should the current departure time point of departure place information obtain multiple to be selected
Destination information；
The destination information that the reception server determines, and show the destination information.
Alternatively, the destination information is that the server is based on the UE preset time periods
Historical data and the current departure place information, to should departure place information the current departure time
Point obtains the score of historical destination corresponding with each history departure place, according to each historical destination
Score determine destination information；
The historical data includes history departure place, historical destination and history departure time point.
Alternatively, the displaying destination information also includes：
If user triggers a destination in the multiple destination to be selected, in destination
Show the destination of the triggering in input frame.
A kind of destination Forecasting Methodology, including：
Server receive UE send current departure place information and to should departure place information work as
Preceding departure time point information, the current departure place information and to should departure place information it is current
Departure time point information is obtained for the UE when having input instruction in monitoring destination input frame
Take；
Server is based on the historical data and the current departure place letter of the UE preset time periods
Breath, to should the current departure time point of departure place information obtain multiple destination informations to be selected；
Server sends to UE the destination information, so that the UE shows the purpose
Ground information.
Alternatively, the historical data based on the UE preset time periods and described currently set out
Ground information, to should the current departure time point of departure place information obtain multiple destinations to be selected
Information includes：
Historical data and the current departure place information based on the UE preset time periods, correspondence
The current departure time point of the departure place information obtains historical purpose corresponding with each history departure place
The score on ground, the score according to each historical destination determines that multiple corresponding with current departure place is treated
The destination information of choosing.
Alternatively, it is described corresponding with current departure place according to the determination of the score of each historical destination
Multiple destination informations to be selected include：
The score of each historical destination is ranked up by order from big to small；
Selection score is more than multiple historical destinations of certain threshold value as multiple destinations to be selected
Information.
A kind of destination prediction meanss, including：
Current trip information acquiring unit, for thering is input to refer in destination input frame is monitored
When making, obtain the current departure place information in UE and to should departure place information current set out when
Between point；
Current trip information transmitting element, for by the current departure place information and to that should go out
The current departure time point of hair ground information is sent to server, so that server is based on the UE
The historical data of preset time period and the current departure place information, to should departure place information
Current departure time point obtains multiple destination informations to be selected；
Destination information receiving unit, for the destination information that the reception server determines, and opens up
Show the destination information.
Alternatively, the destination information is that the server is based on the UE preset time periods
Historical data and the current departure place information, to should departure place information the current departure time
Point obtains the score of historical destination corresponding with each history departure place, according to each historical destination
Score determine destination information；
The historical data includes history departure place, historical destination and history departure time point.
Alternatively, the device also includes destination information display unit, for triggering institute as user
When stating a destination in multiple destinations to be selected, triggering is shown in the input frame of destination
Destination.
A kind of server, including：
Current trip information receiving unit, for receiving the current departure place information of UE transmissions and right
Should departure place information current departure time point information, the current departure place information and correspondence
The current departure time point information of the departure place information is that the UE is monitoring destination input
Have what is obtained during input instruction in frame；
Destination information acquiring unit, for the historical data based on the UE preset time periods and
The current departure place information, to should the current departure time point of departure place information obtain multiple
Destination information to be selected；
Destination information transmitting element, for the destination information to be sent to UE, so that institute
State UE and show the destination information.
Alternatively, the destination information acquiring unit includes historical destination score acquisition module
With destination information determining module；
The historical destination score acquisition module is used for going through based on the UE preset time periods
History data and the current departure place information, to should departure place information current departure time point
Obtain the score of historical destination corresponding with each history departure place；
The destination information determining module, for according to the score of each historical destination determine with
The corresponding multiple in current departure place destination information to be selected.
Alternatively, the destination information determining module, for by the score of each historical destination
It is ranked up by order from big to small；
Selection score is more than multiple historical destinations of certain threshold value as multiple destinations to be selected
Information.
As shown from the above technical solution, the present invention provides a kind of destination Forecasting Methodology and device,
When the current departure place of user is considered when the prediction on user's trip purpose ground is carried out and currently being set out
Between point, the accuracy predicted with improve trip purpose improves Consumer's Experience.
Brief description of the drawings
In order to illustrate more clearly of the embodiment of the present disclosure or technical scheme of the prior art, below
The accompanying drawing to be used needed for embodiment or description of the prior art will be briefly described, show and
Easy insight, drawings in the following description are only some embodiments of the present disclosure, for this area
For those of ordinary skill, on the premise of not paying creative work, can also be according to these
Figure obtains other accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of destination Forecasting Methodology that the embodiment of the disclosure one is provided；
Fig. 2 is that a kind of flow of destination Forecasting Methodology that another embodiment of the disclosure is provided is illustrated
Figure；
Fig. 3 is a kind of structural representation of destination prediction meanss that the embodiment of the disclosure one is provided；
Fig. 4 is a kind of structural representation of server that the embodiment of the disclosure one is provided；
Fig. 5 be the embodiment of the disclosure one provide a kind of destination prediction meanss in show destination
Schematic diagram；
Fig. 6 is a kind of schematic diagram of destination Forecasting Methodology that the embodiment of the disclosure one is provided.
Specific embodiment
As shown in figure 1, a kind of stream of the destination Forecasting Methodology provided for the embodiment of the disclosure one
Journey schematic diagram, the method comprises the following steps：
S11：It is current in acquisition UE when having input instruction in monitoring destination input frame
Departure place information and to should departure place information current departure time point；
S12：By the current departure place information and to should departure place information the current departure time
Point is sent to server, so that server is based on historical data and the institute of the UE preset time periods
State current departure place information, to should departure place information current departure time point obtain multiple treat
The destination information of choosing；
S13：The destination information that the reception server determines, and show the destination information.
The destination Forecasting Methodology of the present embodiment, examines when the prediction on user's trip purpose ground is carried out
Consider the current departure place of user and current departure time, that predicts with improve trip purpose is accurate
Property, improve Consumer's Experience.
As an example it is assumed that being currently at 9 points in evening, the destination of trip more should refer to be gone through
9 points or so of destination of evening in history, rather than the trip purpose ground in morning in history.User
Left for from A, it should more with reference in history from the history on A ground, rather than it
The history of setting out in its place.The Forecasting Methodology on existing user's trip purpose ground is to user's history mesh
Ground do simple statistics, without consider user current departure place and the current departure time to going out
The influence of row destination, causes to predict the outcome inaccurate.
The destination Forecasting Methodology of the present embodiment, there is provided a kind of more accurate trip purpose ground
Forecasting Methodology, provides the user the recommendation list on trip purpose ground.
The user equipment (User Equipment, abbreviation UE) referred in the embodiment of the present disclosure is
Refer to calling service side, such as passenger in vehicles dial-a-cab, the mobile terminal for being used or
The equipment such as personal computer (Personal Computer, abbreviation PC).Such as smart mobile phone,
Personal digital assistant (PDA), panel computer, notebook computer, vehicle-mounted computer, handheld game
Machine, intelligent glasses, intelligent watch, wearable device, virtual display device or display enhancing set
Standby (such as Google Glass, Oculus Rift, Hololens, Gear VR).
Wherein, the destination information is that the server is based on going through for the UE preset time periods
History data and the current departure place information, to should departure place information current departure time point
The score of historical destination corresponding with each history departure place is obtained, according to each historical destination
The destination information that score determines；
The historical data includes history departure place, historical destination and history departure time point.
It should be noted that the current departure place of UE i.e. can be by the global positioning system of the UE
Location information or base station information determine, it is also possible to can be used via other in appropriate circumstances
Determine to represent the information of the departure place, such as bus stop, subway station and other specific build
Build thing.
Alternatively, the displaying destination information also includes：
If user triggers a destination in the multiple destination to be selected, in destination
Show the destination of the triggering in input frame.
The present embodiment sends multiple prediction destinations to be selected to UE, can effectively predict user's
Destination, user is selected from multiple prediction destinations to be selected, is effectively saved the time
And for user brings convenient using the app that calls a taxi, improve Consumer's Experience.
As shown in Fig. 2 a kind of destination Forecasting Methodology provided for another embodiment of the disclosure
Schematic flow sheet, the method includes：
S21：Server receives the current departure place information that UE sends and to should departure place information
Current departure time point information, the current departure place information and to should departure place information
Current departure time point information has input instruction for the UE in destination input frame is monitored
When obtain；
S22：Server is based on the historical data of the UE preset time periods and described currently sets out
Ground information, to should the current departure time point of departure place information obtain multiple destinations to be selected
Information；
S23：Server sends to UE the destination information, so that UE displayings institute
State destination information.
In a kind of optional implementation method, the history number based on the UE preset time periods
According to and the current departure place information, to should departure place information current departure time point obtain
Multiple destination informations to be selected include：
Historical data and the current departure place information based on the UE preset time periods, correspondence
The current departure time point of the departure place information obtains historical purpose corresponding with each history departure place
The score on ground, the score according to each historical destination determines that multiple corresponding with current departure place is treated
The destination information of choosing.
In actual applications, the score of historical destination corresponding with each history departure place is profit
Obtained with big data computing, formula is as follows：
Wherein, time is current departure time point, and source is current departure place, poiiGo through for one
History data, including history departure place, historical destination and history departure time point；D represents current
Departure time point and historical data poiiBetween the interval of granularity in day, with current departure time point every other day
The fewer historical data reference significance of number is bigger；S represents current departure time point and historical data
poiiAt the interval of second granularity, for 1 day within the weighting of short-term destination, distance currently sets out
Time point is nearer, and score is higher；H represents current departure time point and historical data poiiIn hour
The interval of granularity, the historical data reference significance fewer with current departure time point interval hour is more
Greatly；If current departure place and historical data poiiHistory departure place it is identical, then f (x, y)=1；If
Current departure place and historical data poiiHistory departure place it is different, then f (x, y) is to be less than more than 0
1 decimal, preferably 0.2.
Further, it is described corresponding with current departure place according to the determination of the score of each historical destination
Destination information multiple to be selected include：
The score of each historical destination is ranked up by order from big to small；
Selection score is more than multiple historical destinations of certain threshold value as multiple destinations to be selected
Information.
For example, certain user has multiple trip information, and the embodiment obtains each of the user
The score of individual historical destination, and by the score of each historical destination by order from big to small
Sequence.
It should be noted that it is determined that given threshold during multiple prediction destination to be selected
Purpose be in order to ensure user's trip purpose ground Forecasting Methodology accuracy, only accurately
Property it is higher when just can send the destination to UE.
As shown in figure 3, a kind of knot of the destination prediction meanss provided for the embodiment of the disclosure one
Structure schematic diagram, the device includes：
Current trip information acquiring unit 31, for having input in destination input frame is monitored
During instruction, obtain the current departure place information in UE and to should the current of departure place information set out
Time point；
Current trip information transmitting element 32, for by the current departure place information and to should
The current departure time point of departure place information is sent to server, so that server is based on the UE
The historical data of preset time period and the current departure place information, to should departure place information
Current departure time point obtains multiple destination informations to be selected；
Destination information receiving unit 33, for the destination information that the reception server determines, and
Show the destination information.
Wherein, the destination information is that the server is based on going through for the UE preset time periods
History data and the current departure place information, to should departure place information current departure time point
The score of historical destination corresponding with each history departure place is obtained, according to each historical destination
The destination information that score determines；
The historical data includes history departure place, historical destination and history departure time point.
The device also includes destination information display unit, for being treated when user's triggering is the multiple
During a destination in the destination of choosing, the purpose of the triggering is shown in the input frame of destination
Ground (as shown in Figure 5).
As shown in figure 4, a kind of structural representation of the server provided for the embodiment of the disclosure one,
The server includes：
Current trip information receiving unit 41, the current departure place information for receiving UE transmissions
And to should departure place information current departure time point information, the current departure place information and
To should the current departure time point information of departure place information monitoring destination for the UE
Have what is obtained during input instruction in input frame；
Destination information acquiring unit 42, for the history number based on the UE preset time periods
According to and the current departure place information, to should departure place information current departure time point obtain
Multiple destination informations to be selected；
Destination information transmitting element 43, for the destination information to be sent to UE, so that
The UE shows the destination information.
Further, the destination information acquiring unit includes that historical destination score obtains mould
Block and destination information determining module；
The historical destination score acquisition module is used for going through based on the UE preset time periods
History data and the current departure place information, to should departure place information current departure time point
Obtain the score of historical destination corresponding with each history departure place；
The destination information determining module, for according to the score of each historical destination determine with
The corresponding multiple in current departure place destination information to be selected.
Further, the destination information determining module, for obtaining each historical destination
Divide and be ranked up by order from big to small；
Selection score is more than multiple historical destinations of certain threshold value as multiple destinations to be selected
Information.
For device embodiment, because it is substantially similar to embodiment of the method, so description
It is fairly simple, the relevent part can refer to the partial explaination of embodiments of method.
Fig. 6 is a kind of schematic diagram of destination Forecasting Methodology that the embodiment of the disclosure one is provided.
As shown in fig. 6, in actual applications, passenger is input into or have selected destination each time,
Data all can be collected into (Redis in storage system by recommendation server：Purpose in 24 hours
Ground)；
Passenger clicks destination input frame, and APP calls recommendation server to ask recommendation results；
Recommendation server can be from short-term data source (depositing the Redis of data in 24 hours) and storage
In the Hive of longer historical data read user history trip data (departure place, destination,
Departure time etc.).
Recommendation server is based on rider history trip data, it is contemplated that current departure place and when setting out
Between, destination recommendation list is generated, recommend most 12 different destinations to user, it is convenient to use
Family selects.
If it should be noted that passenger does not have historical data, showing city where passenger
Popular communication identifier list.
The disclosure provides a kind of destination Forecasting Methodology and device, is carrying out user's trip purpose ground
Prediction when consider user current departure place and the current departure time, improve trip purpose ground
The accuracy of prediction, improves Consumer's Experience.
It should be noted that in all parts of the device of the disclosure, to be realized according to it
Function and logical partitioning has been carried out to part therein, but, the present disclosure is not limited thereto, can
To be repartitioned to all parts or be combined as needed, for example, can be by some portions
Part is combined as single part, or some parts can be further broken into more subassemblies.
The all parts embodiment of the disclosure can realize with hardware, or with one or many
The software module run on individual processor is realized, or is realized with combinations thereof.This area
It will be appreciated by the skilled person that microprocessor or digital signal processor can be used in practice
(DSP) come realize some or all parts in the device according to the embodiment of the present disclosure some
Or repertoire.The disclosure be also implemented as perform method as described herein one
Partly or completely equipment or program of device are (for example, computer program and computer program
Product).Such program for realizing the disclosure can be stored on a computer-readable medium, or
There can be the form of one or more signal.Such signal can be from internet website
Download is obtained, or is provided on carrier signal, or is provided in any other form.
It should be noted that above-described embodiment is illustrated rather than to the disclosure being carried out to the disclosure
Limit, and those skilled in the art without departing from the scope of the appended claims may be used
Design alternative embodiment.Word " including " do not exclude the presence of unit not listed in the claims
Part or step.The disclosure can by means of the hardware for including some different elements and by means of
Properly programmed computer is realized.If in the unit claim for listing equipment for drying, this
Several in a little devices can be embodied by same hardware branch.
Embodiment of above is only suitable to illustrate the disclosure that and limitation not of this disclosure is relevant
The those of ordinary skill of technical field, in the case where spirit and scope of the present disclosure are not departed from,
Can also make a variety of changes and modification, therefore all equivalent technical schemes fall within the disclosure
Category, the scope of patent protection of the disclosure should be defined by the claims.
Claims (12)
1. a kind of destination Forecasting Methodology, it is characterised in that including：
When having input instruction in monitoring destination input frame, the current departure place in UE is obtained
Information and to should departure place information current departure time point；
By the current departure place information and to should departure place information current departure time point hair
Deliver to server so that server be based on the UE preset time periods historical data and it is described work as
Preceding departure place information, to should the current departure time point of departure place information obtain multiple to be selected
Destination information；
The destination information that the reception server determines, and show the destination information.
2. destination Forecasting Methodology according to claim 1, it is characterised in that the mesh
Ground information be the server be based on the UE preset time periods historical data and it is described work as
Preceding departure place information, to should departure place information current departure time point obtain go out with each history
The score of corresponding historical destination is sent out, the purpose that the score according to each historical destination determines
Ground information；
The historical data includes history departure place, historical destination and history departure time point.
3. destination Forecasting Methodology according to claim 1, it is characterised in that the exhibition
Show that the destination information also includes：
If user triggers a destination in the multiple destination to be selected, in destination
Show the destination of the triggering in input frame.
4. a kind of destination Forecasting Methodology, it is characterised in that including：
Server receive UE send current departure place information and to should departure place information work as
Preceding departure time point information, the current departure place information and to should departure place information it is current
Departure time point information is obtained for the UE when having input instruction in monitoring destination input frame
Take；
Server is based on the historical data and the current departure place letter of the UE preset time periods
Breath, to should the current departure time point of departure place information obtain multiple destination informations to be selected；
Server sends to UE the destination information, so that the UE shows the purpose
Ground information.
5. destination Forecasting Methodology according to claim 4, it is characterised in that the base
Historical data and the current departure place information in the UE preset time periods, to should
The current departure time point of ground information obtains multiple destination informations to be selected to be included：
Historical data and the current departure place information based on the UE preset time periods, correspondence
The current departure time point of the departure place information obtains historical purpose corresponding with each history departure place
The score on ground, the score according to each historical destination determines that multiple corresponding with current departure place is treated
The destination information of choosing.
6. destination Forecasting Methodology according to claim 5, it is characterised in that described
Determine that multiple corresponding with current departure place destination to be selected is believed according to the score of each historical destination
Breath includes：
The score of each historical destination is ranked up by order from big to small；
Selection score is more than multiple historical destinations of certain threshold value as multiple destinations to be selected
Information.
7. a kind of destination prediction meanss, it is characterised in that including：
Current trip information acquiring unit, for thering is input to refer in destination input frame is monitored
When making, obtain the current departure place information in UE and to should departure place information current set out when
Between point；
Current trip information transmitting element, for by the current departure place information and to that should go out
The current departure time point of hair ground information is sent to server, so that server is based on the UE
The historical data of preset time period and the current departure place information, to should departure place information
Current departure time point obtains multiple destination informations to be selected；
Destination information receiving unit, for the destination information that the reception server determines, and opens up
Show the destination information.
8. destination prediction meanss according to claim 7, it is characterised in that the mesh
Ground information be the server be based on the UE preset time periods historical data and it is described work as
Preceding departure place information, to should departure place information current departure time point obtain go out with each history
The score of corresponding historical destination is sent out, the purpose that the score according to each historical destination determines
Ground information；
The historical data includes history departure place, historical destination and history departure time point.
9. destination prediction meanss according to claim 7, it is characterised in that also include
Destination information display unit, for as in the multiple destination to be selected of user's triggering
During individual destination, the destination of triggering is shown in the input frame of destination.
10. a kind of server, it is characterised in that including：
Current trip information receiving unit, for receiving the current departure place information of UE transmissions and right
Should departure place information current departure time point information, the current departure place information and correspondence
The current departure time point information of the departure place information is that the UE is monitoring destination input
Have what is obtained during input instruction in frame；
Destination information acquiring unit, for the historical data based on the UE preset time periods and
The current departure place information, to should the current departure time point of departure place information obtain multiple
Destination information to be selected；
Destination information transmitting element, for the destination information to be sent to UE, so that institute
State UE and show the destination information.
11. servers according to claim 10, it is characterised in that the destination letter
Breath acquiring unit includes historical destination score acquisition module and destination information determining module；
The historical destination score acquisition module is used for going through based on the UE preset time periods
History data and the current departure place information, to should departure place information current departure time point
Obtain the score of historical destination corresponding with each history departure place；
The destination information determining module, for according to the score of each historical destination determine with
The corresponding multiple in current departure place destination information to be selected.
12. servers according to claim 11, it is characterised in that the destination letter
Breath determining module, for the score of each historical destination to be ranked up by order from big to small；
Selection score is more than multiple historical destinations of certain threshold value as multiple destinations to be selected
Information.
Priority Applications (20)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511000093.9A CN106919996A (en) | 2015-12-25 | 2015-12-25 | A kind of destination Forecasting Methodology and device |
| MYPI2017001096A MY193639A (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| AU2016212530A AU2016212530A1 (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| US15/546,657 US10458806B2 (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| BR112017016064-1A BR112017016064B1 (en) | 2015-02-10 | 2016-01-27 | METHODS AND SYSTEMS FOR PROVIDING INFORMATION FOR AN ON-DEMAND SERVICE |
| EP16742766.5A EP3252704B1 (en) | 2015-01-27 | 2016-01-27 | Information providing method and system for on-demand service |
| KR1020177023933A KR20180006875A (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for on-demand services |
| JP2017539550A JP6637054B2 (en) | 2015-01-27 | 2016-01-27 | Method and system for providing on-demand service information |
| SG11201706149XA SG11201706149XA (en) | 2015-01-27 | 2016-01-27 | Methods And Systems For Providing Information For An On-Demand Service |
| PCT/CN2016/072357 WO2016119704A1 (en) | 2015-01-27 | 2016-01-27 | Information providing method and system for on-demand service |
| NZ751377A NZ751377B2 (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| GB1712010.6A GB2550309A (en) | 2015-01-27 | 2016-01-27 | Information providing method and system for on-demand service |
| CA2975002A CA2975002C (en) | 2015-01-27 | 2016-01-27 | Methods and systems for providing information for an on-demand service |
| PH12017501345A PH12017501345A1 (en) | 2015-01-27 | 2017-07-27 | Methods and systems for providing information for an on-demand service |
| HK18104998.4A HK1245955A1 (en) | 2015-01-27 | 2018-04-18 | Information providing method and system for on-demand service |
| US16/569,632 US11156470B2 (en) | 2015-01-27 | 2019-09-12 | Methods and systems for providing information for an on-demand service |
| AU2019236639A AU2019236639A1 (en) | 2015-01-27 | 2019-09-24 | Methods and systems for providing information for an on-demand service |
| AU2019101806A AU2019101806A4 (en) | 2015-01-27 | 2019-09-24 | Methods and systems for providing information for an on-demand service |
| JP2019228967A JP6918087B2 (en) | 2015-01-27 | 2019-12-19 | Methods and systems for providing information on on-demand services |
| US17/448,717 US11892312B2 (en) | 2015-01-27 | 2021-09-24 | Methods and systems for providing information for an on-demand service |
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