CN106289289B - A kind of navigation destination recommended method and device - Google Patents
A kind of navigation destination recommended method and device Download PDFInfo
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- CN106289289B CN106289289B CN201610576455.7A CN201610576455A CN106289289B CN 106289289 B CN106289289 B CN 106289289B CN 201610576455 A CN201610576455 A CN 201610576455A CN 106289289 B CN106289289 B CN 106289289B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3476—Special cost functions, i.e. other than distance or default speed limit of road segments using point of interest [POI] information, e.g. a route passing visible POIs
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3484—Personalized, e.g. from learned user behaviour or user-defined profiles
Abstract
The present invention provides navigation destination recommended method and device, and method includes: to receive the interest point information of request end transmission and parsed, and obtains communication identifier list according to the point of interest；The proportionality coefficient of the evaluation score of each destination and the evaluation score value in the communication identifier list is obtained, the first weight of each destination is calculated；Receive the location information of request end；The distance proportion coefficient of each destination in the communication identifier list is calculated according to the positional information, is obtained distance weighting constant, is calculated the second weight of each destination；According to the first weight and the second weight of each destination, the comprehensive weight of each destination is calculated；Each destination in the communication identifier list is ranked up according to the comprehensive weight；Communication identifier list after sending the sequence is to request end.The present invention, which is realized, is ranked up each destination according to the preference of user's selection, facilitates user's selection, provides user experience.
Description
Technical field
The present invention relates to vehicle mounted guidance technical field more particularly to a kind of navigation destination recommended method and devices.
Background technique
Automobile has become the widely available vehicles, and the time that people spend on automobile is also more and more, and automobile is several
Have become mobile family.Inter-vehicle information system (hereinafter referred to as vehicle device) has become the standard configuration of most of automobile at present, is
The trip of people provides a great convenience.Many vehicle devices are all configured with navigation feature at present, people can be guided to achieve the goal
Ground, moreover it is possible to point of interest be inquired by navigation map, for example, searching the dining room on periphery, still, inquired at present by navigation feature emerging
When interest point, typically the specific businessman for meeting inquired point of interest is arranged according to the distance of distance, and
The service quality of these specific businessmans is not accounted for, therefore when car owner has no way of making a choice, user experience is bad.
Summary of the invention
The present invention provides a kind of navigation destination recommended method and device, it is intended to solve defect in the prior art, realize
Each destination is ranked up according to the preference that user selects, user's selection is facilitated, provides user experience.
In order to achieve the above objectives, the technical solution used in the present invention are as follows:
One aspect of the present invention provides a kind of navigation destination recommended method, comprising:
It receives the interest point information that request end is sent and is parsed, communication identifier list is obtained according to the point of interest；
The proportionality coefficient of the evaluation score of each destination and the evaluation score value in the communication identifier list is obtained, is calculated each
First weight of destination；
Receive the location information of request end；
The distance proportion coefficient of each destination in the communication identifier list is calculated according to the positional information, obtains distance power
Weight constant, calculates the second weight of each destination；
According to the first weight and the second weight of each destination, the comprehensive weight of each destination is calculated；
Each destination in the communication identifier list is ranked up according to the comprehensive weight；
Communication identifier list after sending the sequence is to request end.
Specifically, described to obtain the evaluation score of each destination and the ratio of the evaluation score value in the communication identifier list
Coefficient, the step of calculating the first weight of each destination include:
In server-side, destination history evaluation score data library is set；
The destination history evaluation score value S of server-side reception request endA, it is stored in the evaluation history database；
On the basis of current date, the history evaluation score value S in preset duration N days is obtainedi；
Calculate the history evaluation score value S in preset duration N daysiCorresponding proportionality coefficient αi；
According to the evaluation score value SiAnd corresponding proportionality coefficient αiCalculate the first weight W1i；
Specifically, the proportionality coefficientFirst weight
Specifically, the distance proportion system for calculating each destination in the communication identifier list according to the positional information
Number obtains distance weighting constant, and the step of calculating the second weight of each destination includes:
Obtain the maximum distance Lmax and minimum range of each destination and request end position in the communication identifier list
Lmin；
According to destination and request end position distance LiCalculate distance proportion factor betai；
Distance weighting constant γ is determined according to the full marks value of the evaluation score value；
According to the distance weighting constant γ and calculate distance proportion factor betaiCalculate the second weight W2i；
Specifically, the distance proportion factor betai=e{1-[(Lmax-Lmin)/(Lmax-Li)]}, e is natural constant in formula；Second power
Weight W2i=γ * βi。
Specifically, the comprehensive weight is equal to the first weight multiplied by the first weight proportion coefficient and the second weight multiplied by second
The sum of weight proportion coefficient.
Further, after communication identifier list to the request end sent after the sequence the step of further include:
According to the destination information that request end selects, guidance path is calculated, and sends the guidance path to the request
End, the request end is navigated according to the guidance path.
Another aspect of the present invention provides a kind of navigation destination recommendation apparatus, including inter-vehicle information system and online navigation system
System, the inter-vehicle information system include that point of interest input module, point of interest request module, position sending module, destination are shown
Module, the first communication module；The online navigation system includes point of interest parsing module, point of interest search module, location resolution
Module, recommendation computing module, destination sending module, history evaluation score data library, the second communication module；
The point of interest input module, for receiving the interest point information of user's input；
The point of interest request module, for sending interest point information；
The position sending module, for sending the current location information of request end；
The destination display module, the communication identifier list sent for showing server-side；
First communication module carries out communication connection for request end and server-side；
The point of interest parsing module, the interest point information sent for analysis request end；
The point of interest search module, for searching for destination according to interest point information；
The location resolution module, the current location information sent for analysis request end；
The recommendation computing module, for calculating the recommendation of each destination, including the first weight module, the second weight
Module, comprehensive weight module；First weight module, for calculating the recommendation of each destination according to history evaluation score value；
Second weight module calculates the recommendation of each destination according to distance；The comprehensive weight module is according to first weight
The proportionality coefficient of the second weight and the two that the first weight and the second weight module that module is calculated are calculated, meter
The combined recommendation degree of each destination is calculated, and each destination is ranked up according to recommendation；
The destination sending module, for the destination information after sequence to be sent to request end；
History evaluation score data library, for storing the history evaluation score value of each destination；
Second communication module, for server-side and request end communication connection.
Further, the inter-vehicle information system further includes destination selecting module, navigation module.
Further, the inter-vehicle information system further includes path parsing module, and the online navigation system further includes leading
Bit path computing module, guidance path sending module.
The beneficial effects of the present invention are: the present invention is by obtaining the history evaluation score value of each destination to obtain each mesh
Ground the first weight, by request end to obtaining the second weight of each destination at a distance from each destination, and then obtain
The comprehensive weight of each destination is realized and is ranked up according to the preference of user's selection to each destination, facilitates user's selection,
Provide user experience.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of navigation destination recommendation apparatus of the invention；
Fig. 2 is another structural schematic diagram of navigation destination recommendation apparatus of the invention；
Fig. 3 is the another structural schematic diagram of navigation destination recommendation apparatus of the invention.
Specific embodiment
Specifically illustrate embodiments of the present invention with reference to the accompanying drawing, attached drawing is only for reference and illustrates use, does not constitute pair
The limitation of the invention patent protection scope.
On the one hand the embodiment of the present invention provides a kind of navigation destination recommended method, comprising:
S10. it receives the interest point information that request end is sent and is parsed, destination column are obtained according to the point of interest
Table；
For example, the interest point information that request end is sent is " hotel ", server-side is right after receiving the interest point information
It is parsed.Then, server-side is with " hotel " for keyword, and (such as Beijing Xicheng District) is searched in preset region
Rope lists the destination project for meeting search condition in the region.
S20. the proportionality coefficient of the evaluation score of each destination and the evaluation score value in the communication identifier list, meter are obtained
Calculate the first weight of each destination；
Specifically, the step of first weight for calculating each destination includes:
S201. destination history evaluation score data library is set in server-side；
S202. server-side receives the destination history evaluation score value S of request endA, it is stored in the evaluation history database
In；
When historical user destination consume after, destination is evaluated in request end, evaluation can using 5 points system or
Person's ten point system etc. after server-side receives the evaluation score value of destination, is stored in the evaluation history database.
S203. on the basis of current date, the history evaluation score value S in preset duration N days is obtainedi；
For example, the evaluation score value S in 30 days can be obtained on the basis of current date0=4.9, S1=4.8, S2=
5.0……S29=3.8, S0Indicate the evaluation score value on the same day (i.e. the 1st day), S1Indicate the evaluation on the same day 1 day backward (i.e. the 2nd day)
Score value, and so on, S29Indicate the score on the same day 29 days backward (i.e. the 30th day).
S204. the history evaluation score value S in preset duration N days is calculatediCorresponding proportionality coefficient αi；
Due to apart from the same day closer evaluation score more can embodiment of evaluation quality, closer to truth, therefore it compares
Example coefficient should be higher；And the evaluation score remoter apart from the same day, the reference role risen are lower, therefore its proportionality coefficient
It also should be lower.N can be configured according to actual needs, generally take N=10~60, it is preferable that N=30.
S205. according to the evaluation score value SiAnd corresponding proportionality coefficient αiCalculate the first weight W1i；
S30. the location information of request end is received；
In the specific implementation, request end can also send location information while sending interest point information together,
Can after sending interest point information upload location information again.
S40. calculate the distance proportion coefficient of each destination in the communication identifier list according to the positional information, obtain away from
From weight constant, the second weight of each destination is calculated；
Specifically, the step of second weight for calculating each destination includes:
S401. the maximum distance Lmax of each destination and request end position in the communication identifier list is obtained, and minimum
Distance Lmin；
S402. according to destination and request end position distance LiCalculate distance proportion factor betai；
βi=e{1-[(Lmax-Lmin)/(Lmax-Li)]}
In formula, e is natural constant.
S403. distance weighting constant γ is determined according to the full marks value of the evaluation score value；
In the specific implementation, the distance weighting constant γ is equal to the full marks value of the evaluation score value, such as evaluation score value
Full marks value be 5 points, then γ=5；If the full marks value of the evaluation score value is 10 points, γ=10.
S404. according to the distance weighting constant γ and calculating distance proportion factor betaiCalculate the second weight W2i。
W2i=γ * βi
S50. according to the first weight and the second weight of each destination, the comprehensive weight of each destination is calculated；
W=k1*W1i+k2*W2i
In formula, k1, k2 are respectively the proportionality coefficient of the first weight and the second weight, can be set according to actual needs
It sets.For example, taking k1=1, k2=0 when only considering evaluation score value；When only considering distance factor, k1=0, k2=1；When evaluation point
When value and distance are both needed to consider, then it can be configured according to the weight proportion of evaluation score value and distance, it is preferable that k1=k2=
0.5。
S60. each destination in the communication identifier list is ranked up according to the comprehensive weight；
S70. communication identifier list after sending the sequence is to request end.
In one embodiment of the invention, after the step S70 further include:
S80. the destination information selected according to request end calculates guidance path, and sends the guidance path to described
Request end, the request end are navigated according to the guidance path.
As shown in Figure 1, another aspect of the present invention provides a kind of navigation destination recommendation apparatus, including inter-vehicle information system and
Online navigation system, the inter-vehicle information system include point of interest input module, point of interest request module, position sending module,
Destination display module, the first communication module；The online navigation system includes point of interest parsing module, point of interest search mould
Block, location resolution module, recommendation computing module, destination sending module, history evaluation score data library, the second communication mould
Block；
The point of interest input module, for receiving the interest point information of user's input；
The point of interest request module, for sending interest point information；
The position sending module, for sending the current location information of request end；
The destination display module, the communication identifier list sent for showing server-side；
First communication module carries out communication connection for request end and server-side；
The point of interest parsing module, the interest point information sent for analysis request end；
The point of interest search module, for searching for destination according to interest point information；
The location resolution module, the current location information sent for analysis request end；
The recommendation computing module, for calculating the recommendation of each destination, including the first weight module, the second weight
Module, comprehensive weight module；First weight module, for calculating the recommendation of each destination according to history evaluation score value；
Second weight module calculates the recommendation of each destination according to distance；The comprehensive weight module is according to first weight
The proportionality coefficient of the second weight and the two that the first weight and the second weight module that module is calculated are calculated, meter
The combined recommendation degree of each destination is calculated, and each destination is ranked up according to recommendation；
The destination sending module, for the destination information after sequence to be sent to request end；
History evaluation score data library, for storing the history evaluation score value of each destination；
Second communication module, for server-side and request end communication connection.
The course of work of navigation destination recommendation apparatus of the invention are as follows:
The second communication that inter-vehicle information system (request end) passes through the first communication module and online navigation system (server-side)
Module establishes connection, and point of interest input module receives the interest point information of user's input, such as " hotel ", and region is " West Beijing
The interest point information is sent to online navigation system by city ", point of interest request module, and position sending module is by on-vehicle information
The current location of system is sent to online navigation system；
Online navigation system receives the interest point information that inter-vehicle information system is sent, and is solved by point of interest parsing module
Then analysis obtains communication identifier list according to the point of interest by point of interest search module, the first weight module is from history evaluation
The evaluation score value S in preset duration N days of each destination in the communication identifier list is read in score data libraryi, then described
History evaluation score value SiCorresponding proportionality coefficient αi, specific formula for calculation are as follows:
Further according to the evaluation score value SiAnd corresponding proportionality coefficient αiCalculate the first weight W1i, specific formula for calculation are as follows:
The current location information for the request end that second weight calculation module is obtained according to location resolution module obtains the mesh
Ground list in each destination and request end position maximum distance Lmax and minimum range Lmin, according to destination with ask
The distance Li of end position is asked to calculate distance proportion factor betai, specific formula for calculation are as follows:
βi=e{1-[(Lmax-Lmin)/(Lmax-Li)]}
Distance weighting constant γ is determined further according to the full marks value of the evaluation score value, then according to the distance weighting constant
γ and calculating distance proportion factor betaiCalculate the second weight W2i, specific formula for calculation are as follows:
W2i=γ * βi
Comprehensive weight module calculates the comprehensive of each destination according to the first weight and the second weight of each destination
Close weight, specific formula for calculation are as follows:
W=k1*W1i+k2*W2i
In formula, k1, k2 are respectively the proportionality coefficient of the first weight and the second weight, can be set according to actual needs
It sets；
Comprehensive weight module is ranked up each destination in the communication identifier list according to the comprehensive weight, destination
Sending module sends the communication identifier list after the sequence to request end；
Inter-vehicle information system receives the communication identifier list after the sequence that line navigation system is sent, and shows mould by destination
Block is parsed and is shown.
As shown in Fig. 2, in one embodiment of the invention, the inter-vehicle information system further includes destination selection mould
Block, navigation module.
User selects a certain destination in the communication identifier list by destination selecting module, and is sent to navigation mould
Block navigates, and further improves user experience.
As shown in figure 3, in one embodiment of the invention, the inter-vehicle information system further includes path parsing module,
The online navigation system further includes guidance path computing module, guidance path sending module.
The destination information that online navigation system is selected according to request end, is led by guidance path computing module in line computation
Bit path, and send the guidance path to the request end, the request end passage path parsing module to guidance path into
Row parsing, then sends the navigation module for the guidance path and navigates.By the way that path calculation module setting is existed
Server-side can further decrease the system structure of request end, reduce cost.
Above disclosed is only presently preferred embodiments of the present invention, cannot limit rights protection model of the invention with this
It encloses, therefore according to equivalent variations made by scope of the present invention patent, is still within the scope of the present invention.
Claims (9)
1. a kind of navigation destination recommended method characterized by comprising
It receives the interest point information that request end is sent and is parsed, communication identifier list is obtained according to the point of interest；
The proportionality coefficient of the evaluation score value of each destination and the evaluation score value in the communication identifier list is obtained, each purpose is calculated
First weight on ground；
Receive the location information of request end；
The distance proportion coefficient of each destination in the communication identifier list is calculated according to the positional information, and it is normal to obtain distance weighting
Number, calculates the second weight of each destination；
According to the first weight and the second weight of each destination, the comprehensive weight of each destination is calculated；
Each destination in the communication identifier list is ranked up according to the comprehensive weight；
Communication identifier list after sending the sequence is to request end；
It is described to obtain the proportionality coefficient of the evaluation score value of each destination and the evaluation score value in the communication identifier list, it calculates each
The step of first weight of destination includes:
In server-side, destination history evaluation score data library is set；
The destination history evaluation score value S of server-side reception request endA, it is stored in history evaluation score data library；
On the basis of current date, the history evaluation score value S in preset duration N days is obtainedi；
Calculate the history evaluation score value S in preset duration N daysiCorresponding proportionality coefficient αi；
According to the evaluation score value SiAnd corresponding proportionality coefficient αiCalculate the first weight W1i。
2. navigation destination recommended method according to claim 1, which is characterized in that the proportionality coefficientFirst weight
3. navigation destination recommended method according to claim 1, which is characterized in that described to count according to the positional information
The distance proportion coefficient of each destination in the communication identifier list is calculated, distance weighting constant is obtained, calculates the second of each destination
The step of weight includes:
Obtain the maximum distance Lmax and minimum range Lmin of each destination and request end position in the communication identifier list；
According to destination and request end position distance LiCalculate distance proportion factor betai；
Distance weighting constant γ is determined according to the full marks value of the evaluation score value；
According to the distance weighting constant γ and calculate distance proportion factor betaiCalculate the second weight W2i；
4. navigation destination recommended method according to claim 3, which is characterized in that the distance proportion coefficientE is natural constant in formula；Second weight W2i=γ * βi。
5. navigation destination recommended method according to claim 1, which is characterized in that the comprehensive weight is equal to the first power
Weight is multiplied by the first weight proportion coefficient and the second weight multiplied by the sum of second weight proportion coefficient.
6. described in any item navigation destination recommended methods according to claim 1~5, which is characterized in that in the transmission institute
After the step of stating communication identifier list to the request end after sorting further include:
According to the destination information that request end selects, guidance path is calculated, and sends the guidance path to the request end, institute
Request end is stated to be navigated according to the guidance path.
7. a kind of navigation destination recommendation apparatus characterized by comprising request end and server-side, the request end include emerging
Interest point input module, point of interest request module, position sending module, destination display module, the first communication module；The service
End includes point of interest parsing module, point of interest search module, location resolution module, recommendation computing module, destination transmission mould
Block, history evaluation score data library, the second communication module；
The point of interest input module, for receiving the interest point information of user's input；
The point of interest request module, for sending interest point information；
The position sending module, for sending the current location information of request end；
The destination display module, the communication identifier list sent for showing server-side；
First communication module carries out communication connection for request end and server-side；
The point of interest parsing module, the interest point information sent for analysis request end；
The point of interest search module, for searching for destination according to interest point information；
The location resolution module, the current location information sent for analysis request end；
The recommendation computing module, for calculating the recommendation of each destination, including the first weight module, the second weight mould
Block, comprehensive weight module；First weight module obtains the history evaluation in preset duration N days on the basis of current date
Score value Si, calculate the history evaluation score value S in preset duration N daysiCorresponding proportionality coefficient αi, according to the evaluation score value SiAnd
Corresponding proportionality coefficient αiCalculate the first weight W1i；Second weight module calculates the recommendation of each destination according to distance；
The first weight and the second weight module that the comprehensive weight module is calculated according to first weight module are calculated
The second weight and the two proportionality coefficient, calculate the combined recommendation degree of each destination, and according to recommendation to each destination
It is ranked up；
The destination sending module, for the destination information after sequence to be sent to request end；
History evaluation score data library, for storing the history evaluation score value of each destination；
Second communication module, for server-side and request end communication connection.
8. navigation destination recommendation apparatus according to claim 7, which is characterized in that the request end further includes destination
Selecting module, navigation module.
9. navigation destination recommendation apparatus according to claim 8, which is characterized in that the request end further includes path solution
Module is analysed, the server-side further includes guidance path computing module, guidance path sending module.
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