CN110737743A - route recommendation system and method - Google Patents
route recommendation system and method Download PDFInfo
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- CN110737743A CN110737743A CN201910961234.5A CN201910961234A CN110737743A CN 110737743 A CN110737743 A CN 110737743A CN 201910961234 A CN201910961234 A CN 201910961234A CN 110737743 A CN110737743 A CN 110737743A
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- 230000008569 process Effects 0.000 description 6
- 230000002776 aggregation Effects 0.000 description 1
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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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
- G01C21/3461—Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
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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
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention discloses route recommendation systems and methods, wherein the route recommendation system comprises a server, a route database and at least user terminals, the route database is used for storing GPS position information, route track information and use frequency of each high-quality route, the user terminals are used for acquiring real-time GPS position information of the current position and sending route acquisition requests carrying the real-time GPS position information to the server, the server is used for searching a target high-quality route with the distance from the current position within a preset range from the route database according to the real-time GPS position information and sending the target high-quality route to the user terminals according to the sequence of the distance from near to far and/or the sequence of the use frequency from high to low, and the user terminals are used for displaying the received target high-quality route.
Description
Technical Field
The invention relates to the technical field of internet, in particular to route recommendation systems and methods.
Background
Running is taken as the simplest exercise mode and is loved by large fitness crowds, the selection of a running field is crucial for the running crowds, the environment is pleasant, and a park green road, a lake green road and the like with fresh air become the first choice.
However, many people live in cities, and do not know what suitable places around the places, when a runner selects a sports place, the runner often selects the sports place by observing places and road conditions in life, whether more runners run, and the like, and usually, the user only knows the environment close to the place where the runner lives, so that the selectable range is limited, and the situation of places far away and the change situation of the place caused by construction cannot be known.
Disclosure of Invention
The invention mainly solves the technical problem of providing route recommendation systems and methods, which can automatically recommend proper routes for users.
In order to solve the technical problems, technical schemes adopted by the invention are that route recommendation systems are provided, each route recommendation system comprises a server, a route database and at least user terminals, each route database is used for storing GPS position information, route track information and use frequency of each high-quality route, each user terminal is used for obtaining real-time GPS position information of a current position and sending a route obtaining request carrying the real-time GPS position information to the server, each server is used for searching a target high-quality route with the distance from the current position within a preset range from the route database according to the real-time GPS position information and sending the target high-quality route to the user terminals according to the sequence of the distance from near to far and/or the sequence of the use frequency from high to low, and each user terminal is used for displaying the received target high-quality route.
As preferred embodiments of the present invention, the premium routes stored in the route database are uploaded by other user terminals.
The server is further used for sending the target high-quality route to the user terminal according to the distance recommendation requirement from near to far and/or sending the target high-quality route to the user terminal according to the heat recommendation requirement from high to low according to the use frequency.
In order to solve the technical problems, another technical schemes adopted by the invention are to provide route recommendation methods, wherein the route recommendation methods comprise S1 that a user terminal acquires real-time GPS position information of a current position and sends a route acquisition request carrying the real-time GPS position information to a server, S2 that the server searches a target high-quality route with the distance from the current position within a preset range from a route database according to the real-time GPS position information and sends the target high-quality route to the user terminal according to the sequence of the distance from near to far and/or the sequence of the use frequency from high to low, wherein the route database stores the GPS position information, the route track information and the use frequency of each high-quality route, and S3 that the user terminal displays the received target high-quality route.
As preferred embodiments of the present invention, the premium routes stored in the route database are uploaded by other user terminals.
The step of sending the target high-quality route to the user terminal according to the sequence from near to far and/or the sequence from high to low of the frequency of use is specifically that the target high-quality route is sent to the user terminal according to the distance recommendation requirement and/or the target high-quality route is sent to the user terminal according to the sequence from near to far and/or the frequency of use is sent to the user terminal according to the frequency of use recommendation requirement.
The method has the advantages that the database storing the high-quality routes is established, the closest high-quality route and/or the high-quality route with the highest use frequency are/is automatically recommended to the user on the basis of the current position of the user, so that the proper route can be automatically recommended to the user, the requirement of the user for searching the high-quality route is met, the running experience of the user is improved, the running route closest to the highest use frequency can be known only by opening the terminal in the use process of the user, and the whole process is convenient, fast and efficient.
Drawings
FIG. 1 is a functional block diagram of a route recommendation system of an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a route recommendation method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only partial embodiments of the present invention, rather than all embodiments.
Referring to fig. 1, the route recommendation system of the embodiment of the present invention includes a server 10, a route database 20, and at least user terminals 30.
The route database 20 is used to store GPS location information, route trajectory information, and frequency of use for each premium route.
The source of the premium route in the route database 20 may be varied, and in this embodiment, the premium route stored in the route database 20 is uploaded by other user terminals 30. of course, the source of the premium route may be other, such as a route collected periodically by a person specializing in , or a route aggregated from historical running routes.
The user terminal 30 is configured to obtain real-time GPS location information of a current location, and send a route obtaining request carrying the real-time GPS location information to the server.
The user terminal 30 is a device held by the user, and the device can acquire the GPS location information of the location where the user is located in real time, so that the GPS location information of discrete waypoints of the route can be acquired during the running process of the user.
The server 10 is configured to search a target premium route with a distance from the current location within a predetermined range from the route database 20 according to the real-time GPS location information, and send the target premium route to the user terminal in a sequence from near to far and/or a sequence from high to low in frequency of use.
Wherein the server 10 compares the real-time GPS position information with the GPS position information of each of the premium routes, thereby selecting a target premium route having a distance from the current position within a predetermined range. If the number of the target high-quality routes is multiple, the server 10 sends the target high-quality routes to the user terminal according to the sequence of the distances from near to far and/or the sequence of the use frequencies from high to low. The server 10 may recommend routes in the order of distance from the near to the far, in the order of frequency of use from high to low, or simultaneously.
In order to improve recommendation efficiency, in this embodiment, the route obtaining request further carries a distance recommendation requirement and/or a heat recommendation requirement. The server 10 is further configured to send the target premium route to the user terminal according to the distance recommendation requirement in a sequence from near to far and/or send the target premium route to the user terminal according to the heat recommendation requirement in a sequence from high to low in frequency of use.
The distance recommendation requirement and the popularity recommendation requirement are selected by the user, and the user can select of the distance recommendation requirement and the popularity recommendation requirement, or can select both the distance recommendation requirement and the popularity recommendation requirement.
The user terminal 30 is used to display the received target premium route. Wherein the user terminal 30 may display the route trace information of the target premium route on the map.
Referring to fig. 2, a route recommendation method according to an embodiment of the present invention includes the steps of:
s1: the user terminal acquires the real-time GPS position information of the current position and sends a route acquisition request carrying the real-time GPS position information to the server.
The source of the high-quality route in the route database can be diversified, and in the embodiment, the high-quality route stored in the route database is uploaded by other user terminals, of course, the source of the high-quality route can be other, such as a route collected by a person specially assigned regularly or a route obtained by aggregation according to historical running routes.
S2: the server searches a target high-quality route with the distance from the current position within a preset range from a route database according to the real-time GPS position information, and sends the target high-quality route to the user terminal according to the sequence of the distance from near to far and/or the sequence of the use frequency from high to low, wherein the route database stores the GPS position information, the route track information and the use frequency of each high-quality route.
The server compares the real-time GPS position information with the GPS position information of each high-quality route, and accordingly selects a target high-quality route with the distance from the current position within a preset range. If the number of the target high-quality routes is multiple, the server sends the target high-quality routes to the user terminal according to the sequence of the distances from near to far and/or the sequence of the use frequencies from high to low. The server can recommend routes according to the sequence from near to far, can also recommend according to the sequence from high to low using frequency, and can also recommend at the same time.
In order to improve recommendation efficiency, in this embodiment, the route obtaining request further carries a distance recommendation requirement and/or a heat recommendation requirement. The step of sending the target high-quality route to the user terminal according to the sequence of the distance from near to far and/or the sequence of the use frequency from high to low is concretely as follows: and sending the target high-quality route to the user terminal according to the distance recommendation requirement from near to far and/or sending the target high-quality route to the user terminal according to the heat recommendation requirement from high to low according to the use frequency.
S3: and the user terminal displays the received target high-quality route. Wherein the user terminal 30 may display the route trace information of the target premium route on the map.
Through the mode, the route recommendation system and the route recommendation method automatically recommend the nearest high-quality route and/or the high-quality route with the highest use frequency to the user by establishing the database for storing the high-quality routes on the basis of the current position of the user, so that the proper route can be automatically recommended to the user, the requirement of the user for searching the high-quality route is met, the running experience of the user is improved, the running route with the nearest distance and the hottest can be known only by opening the terminal in the use process of the user, and the whole process is convenient and efficient.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
- A route recommendation system, comprising a server, a route database and at least user terminals;the route database is used for storing the GPS position information, the route track information and the use frequency of each high-quality route;the user terminal is used for acquiring real-time GPS position information of a current position and sending a route acquisition request carrying the real-time GPS position information to the server;the server is used for searching a target high-quality route with the distance from the current position within a preset range from the route database according to the real-time GPS position information, and sending the target high-quality route to the user terminal according to the sequence of the distances from near to far and/or the sequence of the use frequencies from high to low;the user terminal is used for displaying the received target high-quality route.
- 2. The route recommendation system according to claim 1, wherein the premium routes stored in the route database are uploaded by other user terminals.
- 3. The route recommendation system according to claim 2, wherein the route acquisition request further carries a distance recommendation requirement and/or a heat recommendation requirement;the server is further used for sending the target high-quality route to the user terminal according to the distance recommendation requirement from near to far and/or sending the target high-quality route to the user terminal according to the heat recommendation requirement from high to low in use frequency.
- 4, A method for recommending a route, comprising:s1: a user terminal acquires real-time GPS position information of a current position and sends a route acquisition request carrying the real-time GPS position information to a server;s2: the server searches a target high-quality route with the distance from the current position within a preset range from a route database according to the real-time GPS position information, and sends the target high-quality route to the user terminal according to the sequence of the distance from near to far and/or the sequence of the use frequency from high to low, wherein the route database stores the GPS position information, the route track information and the use frequency of each high-quality route;s3: and the user terminal displays the received target high-quality route.
- 5. The route recommendation method according to claim 4, wherein the premium routes stored in the route database are uploaded by other user terminals.
- 6. The route recommendation method according to claim 5, wherein the route acquisition request further carries a distance recommendation requirement and/or a heat recommendation requirement;the step of sending the target high-quality route to the user terminal according to the sequence of the distance from near to far and/or the sequence of the use frequency from high to low is specifically as follows:and sending the target high-quality route to the user terminal according to the distance recommendation requirement from near to far and/or sending the target high-quality route to the user terminal according to the heat recommendation requirement from high to low in use frequency.
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| CN201910961234.5A CN110737743A (en) | 2019-10-11 | 2019-10-11 | route recommendation system and method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910961234.5A CN110737743A (en) | 2019-10-11 | 2019-10-11 | route recommendation system and method |
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