CN105491517B - A kind of route recommendation method and mobile terminal - Google Patents

Abstract

The present invention discloses a route recommendation method, comprising: obtaining the current geographic location of a mobile terminal and the geographic location of a destination; generating N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination, where N is greater than 1 Integer; determine the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used; select the route information matching the target route recommendation method from the N pieces of route information. The embodiment of the present invention also provides a mobile terminal. The intelligence and user experience of indoor navigation applications can be improved by adopting the embodiments of the present invention.

Description

A route recommendation method and mobile terminal

technical field

The invention relates to the field of electronic technology, in particular to a route recommendation method and a mobile terminal.

Background technique

With the popularity of smart phones and the development of mobile Internet, indoor navigation applications are becoming more and more popular.

In the current indoor map navigation function, after the user inputs a destination, the terminal will directly query the map, and then provide the user with a feasible route. Sometimes the route processed by the navigation is not necessarily what the user wants, for example, the route has many people, or takes a long time, or has a long distance, and so on. In this case, the simple indoor map navigation function cannot meet the needs of users.

Contents of the invention

An embodiment of the present invention provides a method for recommending a route in order to improve the intelligence and user experience of indoor navigation applications.

The first aspect of the embodiments of the present invention provides a route recommendation method, including:

Obtain the current geographic location of the mobile terminal and the geographic location of the destination;

Generate N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination, where N is an integer greater than 1;

determining the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used;

Selecting route information matching the target route recommendation mode from the N pieces of route information.

With reference to the first aspect of the embodiments of the present invention, in the first possible implementation of the first aspect, the determining the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used includes:

Obtain the number of times all route recommendation methods stored in the mobile terminal are used within a preset time threshold;

The route recommendation method whose number of times all the route recommendation methods are used within the preset time threshold range is the largest as the target route recommendation method.

With reference to the first aspect of the embodiments of the present invention, in the second possible implementation of the first aspect, the determining the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used includes:

Acquire the number of times all route recommendation methods stored in the mobile terminal are used within a preset time period, and the preset time period matches the current time of the mobile terminal;

The route recommendation method with the largest number of times of all the route recommendation methods used within the preset time period is taken as the target route recommendation method.

In combination with the first aspect of the embodiments of the present invention, the first or the second possible implementation of the first aspect, in the third possible implementation of the first aspect, the target route recommendation method is to reach the target The route recommendation method with the shortest distance traveled by the place, the route information that matches the target route recommendation method is selected from the N pieces of route information, including:

Acquiring the distance traveled by the N pieces of route information to the destination;

Taking the route information with the shortest distance to the destination among the N pieces of route information as the route information.

In combination with the first aspect of the embodiments of the present invention, the first or the second possible implementation of the first aspect, in the fourth possible implementation of the first aspect, the target route recommendation method is to reach the target The route recommendation method with the shortest land time, the route information matching the target route recommendation method is selected from the N pieces of route information, including:

Acquiring the time required for the N pieces of route information to reach the destination;

Taking the route information with the shortest time required to reach the destination among the N pieces of route information as the route information.

With reference to the fourth possible implementation of the first aspect of the embodiment of the present invention, in the fifth possible implementation of the first aspect, the acquisition of the time required for the N pieces of route information to reach the destination, include:

Obtain the distance traveled by the N pieces of route information to the destination and the average moving speed of the user; send a road condition information acquisition request to the server, the road condition information acquisition request carries N pieces of route information, and the road condition information acquisition request uses Instructing to acquire N pieces of road condition information; receiving N pieces of road condition information sent by the server in response to the road condition information acquisition request, wherein the N pieces of route information are in one-to-one correspondence with the N pieces of road condition information; according to The distance traveled by the N pieces of route information to the destination, the average moving speed of the user, and the N pieces of road condition information determine the time required for the N pieces of route information to reach the destination.

A second aspect of the embodiments of the present invention provides a mobile terminal, including:

An acquisition unit, configured to acquire the current geographic location of the mobile terminal and the geographic location of the destination;

A navigation unit, configured to generate N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination acquired by the acquiring unit, where N is an integer greater than 1;

A determining unit, configured to determine a target route recommendation method according to the number of times the route recommendation method is used stored in the mobile terminal;

A selecting unit, configured to select route information matching the target route recommendation mode from the N pieces of route information.

With reference to the second aspect of the present invention, in a first possible implementation manner of the second aspect, the determining unit is specifically configured to:

Obtain the number of times all route recommendation methods stored in the mobile terminal are used within a preset time threshold;

The route recommendation method whose number of times all the route recommendation methods are used within the preset time threshold range is the largest as the target route recommendation method.

With reference to the second aspect of the present invention, in a second possible implementation manner of the second aspect, the determining unit is specifically configured to:

Acquire the number of times all route recommendation methods stored in the mobile terminal are used within a preset time period, and the preset time period matches the current time of the mobile terminal;

The route recommendation method with the largest number of times of all the route recommendation methods used within the preset time period is taken as the target route recommendation method.

In combination with the second aspect of the present invention, the first or the second possible implementation manner of the second aspect, in the third possible implementation manner of the second aspect, the target route recommendation method is the The route recommendation method with the shortest distance experienced, the selection unit is specifically used for:

Acquiring the distance traveled by the N pieces of route information to the destination;

Taking the route information with the shortest distance to the destination among the N pieces of route information as the route information.

In combination with the second aspect of the present invention, the first or second possible implementation of the second aspect, in the fourth possible implementation of the second aspect, the target route recommendation method is the time taken to reach the destination The shortest route recommendation method, the selection unit is specifically used for:

Acquiring the time required for the N pieces of route information to reach the destination;

Taking the route information with the shortest time required to reach the destination among the N pieces of route information as the route information.

Implementing the embodiment of the present invention has the following beneficial effects:

In the embodiment of the present invention, the mobile terminal generates N pieces of route information according to the current geographic location of the mobile terminal and the destination geographic location; determines the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used; Select the route information that matches the target route recommendation method from the N pieces of route information. Compared with the existing technology, selecting the route information matching the target route recommendation method from the N route information to the destination can make the final determined route information solve the route information that the user wants as much as possible, thereby improving indoor navigation. App intelligence and user experience.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a flow chart of the first embodiment of the route recommendation method provided by the embodiment of the present invention;

FIG. 2 is a flow chart of the second embodiment of the route recommendation method provided by the embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a first embodiment of a mobile terminal provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a second embodiment of a mobile terminal provided by an embodiment of the present invention.

Detailed ways

An embodiment of the present invention provides a method for recommending a route in order to improve the intelligence and user experience of indoor navigation applications.

In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

Each will be described in detail below.

The terms "first", "second", "third" and "fourth" in the description and claims of the present invention and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

The mobile terminal to which the present invention relates can be, for example, any or all of the following, smart phones, wearable devices (personal hubs), personal or mobile multimedia players, personal digital assistants (PDAs), laptop computers, tablet computers , smartbooks, palmtop computers, and similar personal electronic devices, the above-mentioned mobile terminals may include network interfaces, processors, memory, audio processing circuits, microphones, cameras, flashlights, and include audio amplifiers that may be internal or external and include connection to the speaker unit of the audio amplifier.

An embodiment of the route recommendation method of the present invention. Among them, a route recommendation method: obtain the current geographic location of the mobile terminal and the geographic location of the destination; generate N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination, where N is an integer greater than 1; Determine the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used; select the route information matching the target route recommendation method from the N pieces of route information.

Please refer to FIG. 1 . FIG. 1 is a flowchart of a first embodiment of an indoor navigation method provided by an embodiment of the present invention. Wherein, as shown in FIG. 1, an indoor navigation method provided by an embodiment of the present invention may include steps S101-S104:

S101. The mobile terminal obtains the current geographic location of the mobile terminal and the geographic location of the destination.

In the embodiment of the present invention, the mobile terminal acquires the current geographic location of the mobile terminal through the global positioning system. The specific implementation method for the mobile terminal to acquire the geographic location of the destination is as follows: the mobile terminal acquires the destination name input by the user; the mobile terminal sends a geographic location acquisition request to the server, the geographic location acquisition request carries the destination name, and the geographic location request is used to indicate Acquiring the geographic location of the destination; the mobile terminal receives the geographic location of the destination sent by the server in response to the request for obtaining the geographic location. Wherein, the way for the user to input the destination name may be that the user enters the destination name through the indoor navigation search interface; or, the user may input the destination name by voice; or, the user may input the destination name by scanning a QR code, etc.

S102. The mobile terminal generates N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination, where N is an integer greater than 1.

S103. The mobile terminal determines a target route recommendation method according to the number of times the route recommendation method is used stored in the mobile terminal.

In an embodiment of the invention, the mobile terminal determines the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used. The number of times used within the range; the route recommendation method with the largest number of times of all the route recommendation methods used within the preset time threshold range is used as the target route recommendation method.

In another embodiment of the invention, the mobile terminal determines the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used. The number of times used within a period, the preset time period matches the current time of the mobile terminal; the route recommendation method with the largest number of times of all the route recommendation methods used within the preset time period is used as the target Route recommendation method.

S104. The mobile terminal selects route information matching the target route recommendation mode from the N pieces of route information.

In an embodiment of the invention, the specific implementation method for the mobile terminal to select the route information that matches the target route recommendation method from the above N pieces of route information is: to obtain the time required for the N pieces of route information to reach the destination ; Taking the route information with the shortest time required to reach the destination among the N pieces of route information as the route information. Wherein, the specific implementation manner of acquiring the time required for the N pieces of route information to reach the destination is: acquiring the distance experienced by the N pieces of route information to reach the destination and the average moving speed of the user; sending to the server A road condition information acquisition request, the road condition information acquisition request carries N pieces of route information, and the road condition information acquisition request is used to indicate to acquire the road condition information of N pieces of route information; receiving the N pieces of road condition information sent by the server in response to the road condition information acquisition request pieces of road condition information, wherein the N pieces of route information are in one-to-one correspondence with the N pieces of road condition information; according to the distance traveled by the N pieces of route information to the destination, the average moving speed of the user, and the The N pieces of road condition information determine the time required for the N pieces of route information to reach the destination.

In another embodiment of the invention, the specific implementation manner in which the mobile terminal selects the route information that matches the above-mentioned target route recommendation method from the above N pieces of route information is as follows: acquire the elapsed time of the N pieces of route information to reach the destination Distance: use the route information with the shortest distance to the destination among the N pieces of route information as the route information.

It can be seen that, in the embodiment of the present invention, the mobile terminal generates N pieces of route information according to the current geographic location of the mobile terminal and the destination geographic location; and determines the target route recommendation according to the number of times the route recommendation method stored in the mobile terminal is used. Mode: select route information matching the target route recommendation mode from the N pieces of route information. Compared with the existing technology, selecting the route information matching the target route recommendation method from the N route information to the destination can make the final determined route information solve the route information that the user wants as much as possible, thereby improving indoor navigation. App intelligence and user experience.

Please refer to FIG. 2 . FIG. 2 is a flowchart of a second embodiment of an indoor navigation method provided by an embodiment of the present invention. Wherein, as shown in FIG. 2, an indoor navigation method provided by an embodiment of the present invention may include steps S201-S206:

S201. The mobile terminal obtains the current geographic location of the mobile terminal and the geographic location of the destination.

In the embodiment of the present invention, the mobile terminal acquires the current geographic location of the mobile terminal through the global positioning system. The specific implementation method for the mobile terminal to acquire the geographic location of the destination is as follows: the mobile terminal acquires the destination name input by the user; the mobile terminal sends a geographic location acquisition request to the server, the geographic location acquisition request carries the destination name, and the geographic location request is used to indicate Acquiring the geographic location of the destination; the mobile terminal receives the geographic location of the destination sent by the server in response to the request for acquiring the geographic location. Wherein, the way for the user to input the destination name may be that the user enters the destination name through the indoor navigation search interface; or, the user may input the destination name by voice; or, the user may input the destination name by scanning a QR code, etc.

S202. The mobile terminal generates N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination, where N is an integer greater than 1.

S203. The mobile terminal acquires the number of times all route recommendation methods stored in the mobile terminal are used within a preset time threshold.

Wherein, all the recommended routes stored in the mobile terminal include the recommended route with the shortest time to reach the destination, the recommended route with the shortest distance to the destination, and so on. The aforementioned preset time range may be, for example, 1 month, 2 months, 3 months, 6 months, 10 months or other values.

S204. The mobile terminal uses the route recommendation method with the largest number of times of all the route recommendation methods used within the preset time threshold range as the target route recommendation method.

For example, all route recommendation methods include route recommendation method 1 and route recommendation method 2, wherein route recommendation method 1 is used 10 times within the preset time threshold range, and route recommendation method 2 is used within the preset time threshold range The number of times is 15, then the route recommendation method 2 is the target route recommendation method.

S205. If the target route recommendation mode is the route recommendation mode with the shortest distance traveled to the destination, the mobile terminal acquires the distance traveled by the N pieces of route information to the destination.

S206. The mobile terminal takes the route information with the shortest distance to the destination among the N pieces of route information as the route information.

Optionally, step S203 and step S204 may be performed by the step: the mobile terminal acquires the number of times that all route recommendation methods stored in the mobile terminal are used within a preset time period, and the preset time period is different from the current time of the mobile terminal Matching: the mobile terminal replaces the route recommendation method with the largest number of times of all the route recommendation methods used within a preset time period as the target route recommendation method. Specifically, matching the preset time with the current time of the mobile terminal includes: partially matching the preset time with the current time of the mobile terminal. For example, the above-mentioned preset time period is 17:00-18:00, and the current time of the mobile terminal is 17:30 on October 26, 2015. :00-18:00, the above-mentioned preset time period matches the current time of the above-mentioned mobile terminal.

Optionally, if the above-mentioned target route recommendation method is the route recommendation method with the shortest time to reach the destination, steps S205 and S206 may be performed by the steps: the mobile terminal obtains the time required for the N pieces of route information to reach the destination; The mobile terminal replaces the route information with the shortest time required to reach the destination among the N pieces of route information as the route information.

Specifically, the specific implementation manner of the time required for the mobile terminal to obtain the N pieces of route information to reach the destination is: the distance traveled by the mobile terminal to obtain the N pieces of route information to reach the destination and the user's Average moving speed; the mobile terminal sends a road condition information acquisition request to the server, the road condition information acquisition request carries N pieces of route information, and the road condition information acquisition request is used to indicate the road condition information for obtaining N pieces of route information; the mobile terminal receiving N pieces of road condition information sent by the server in response to the road condition information acquisition request, wherein the N pieces of route information are in one-to-one correspondence with the N pieces of road condition information; the mobile terminal arrives according to the N pieces of route information The distance traveled by the destination, the average moving speed of the user and the N pieces of road condition information determine the time required for the N pieces of route information to reach the destination.

For example, the current geographic location of the mobile terminal is the garage, the destination is Exit A, and the N pieces of route information include the first route information and the second route information, the traffic condition information corresponding to the first route information is the first picture, and the first picture is The picture of the route of the mobile terminal from the current position to the destination in the first route information, the road condition information corresponding to the second route information is the second picture, and the second picture is the picture of the route of the mobile terminal from the current position to the destination in the second route information . The mobile terminal parses the first picture and the second picture to obtain how many vehicles there are on the way from the current position to the destination position of the mobile terminal of the first route and the second route, and the preset average time required for each vehicle to go out of Exit A. If the distance corresponding to the first route is 50 meters, the number of vehicles corresponding to the first route is 20, the distance corresponding to the second route is 100 meters, the number of vehicles corresponding to the first route is 5, and the average moving speed of the user is 5 meters/ s, the preset average time required for each vehicle to go out of Exit A is 1min. The mobile terminal determines the distance required for the N pieces of route information to reach the destination according to the distance traveled by the N pieces of route information, the average moving speed of the user, and the N pieces of road condition information. The specific time is: the time required for the first route is: 50m/5m/s+20*1min=20min and 10s, the time required for the first route is: 100m/5m/s+5*1min=5min and 20s.

It can be seen that, in the embodiment of the present invention, the mobile terminal generates N pieces of route information according to the current geographic location of the mobile terminal and the destination geographic location; and determines the target route recommendation according to the number of times the route recommendation method stored in the mobile terminal is used. Mode: select route information matching the target route recommendation mode from the N pieces of route information. Compared with the existing technology, selecting the route information matching the target route recommendation method from the N route information to the destination can make the final determined route information solve the route information that the user wants as much as possible, thereby improving indoor navigation. App intelligence and user experience.

Please refer to FIG. 3. FIG. 3 is a schematic structural diagram of a first embodiment of a mobile terminal provided by an embodiment of the present invention. The mobile terminal includes:

The acquiring unit 301 is configured to acquire the current geographic location and the destination geographic location of the mobile terminal.

The navigation unit 302 is configured to generate N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination acquired by the acquiring unit, where N is an integer greater than 1.

The determining unit 303 is configured to determine a target route recommendation method according to the number of times the route recommendation method is used stored in the mobile terminal.

The selecting unit 304 is configured to select route information matching the target route recommendation mode from the N pieces of route information.

Optionally, the determining unit 303 is specifically configured to: obtain the number of times all the route recommendation methods stored in the mobile terminal are used within a preset time threshold range; The route recommendation method that has been used the largest number of times within the threshold range is used as the target route recommendation method.

Optionally, the determining unit 303 is specifically configured to: obtain the number of times that all the route recommendation methods stored in the mobile terminal are used within a preset time period, and the preset time period is different from the current time period of the mobile terminal. Time matching: using the route recommendation method with the largest number of times of all the route recommendation methods used within the preset time period as the target route recommendation method.

Optionally, the target route recommendation method is a route recommendation method with the shortest distance traveled to reach the destination, and the selecting unit 304 is specifically configured to: acquire the N pieces of route information to reach the destination Distance: use the route information with the shortest distance to the destination among the N pieces of route information as the route information.

Optionally, the target route recommendation method is the route recommendation method with the shortest time to reach the destination, and the selection unit 304 is specifically configured to: acquire the time required for the N pieces of route information to reach the destination; The route information with the shortest time required to reach the destination among the N pieces of route information is used as the route information.

It can be understood that the functions of each functional module of the mobile terminal in this embodiment can be specifically implemented according to the method in the above method embodiment, and the specific implementation process can refer to the relevant description of the above method embodiment, and will not be repeated here. Part or all of the functional modules in the mobile terminal can be implemented by hardware circuits, and some or all of the functional modules in the mobile terminal can also be implemented by a processor (such as a digital signal processor) by executing code or instructions.

It can be seen that, in the embodiment of the present invention, the mobile terminal generates N pieces of route information according to the current geographic location of the mobile terminal and the destination geographic location; and determines the target route recommendation according to the number of times the route recommendation method stored in the mobile terminal is used. Mode: select route information matching the target route recommendation mode from the N pieces of route information. Compared with the existing technology, selecting the route information matching the target route recommendation method from the N route information to the destination can make the final determined route information solve the route information that the user wants as much as possible, thereby improving indoor navigation. App intelligence and user experience.

Please refer to FIG. 4 , which is a schematic structural diagram of a second embodiment of a mobile terminal provided by an embodiment of the present invention, which may include: a processor 401 and a memory 402 ; wherein, the processor 401 and the memory 402 are coupled and connected through a bus 403 . Wherein, the processor 401 can execute the following steps by calling codes or instructions in the memory 401:

Obtain the current geographic location of the mobile terminal and the geographic location of the destination;

Generate N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination, where N is an integer greater than 1;

determining the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used;

Selecting route information matching the target route recommendation mode from the N pieces of route information.

Optionally, in some optional embodiments, the processor 401 is specifically configured to:

Obtaining the number of times all the route recommendation methods stored in the mobile terminal are used within a preset time threshold;

The route recommendation method whose number of times all the route recommendation methods are used within the preset time threshold range is the largest as the target route recommendation method.

Optionally, in some optional embodiments, the processor 401 is specifically configured to:

Obtaining the number of times all the route recommendation methods stored in the mobile terminal are used within a preset time period, the preset time period matching the current time of the mobile terminal;

The route recommendation method with the largest number of times of all the route recommendation methods used within the preset time period is taken as the target route recommendation method.

Optionally, in some optional embodiments, the target route recommendation mode is the route recommendation mode with the shortest distance to the destination, and the processor 401 is specifically configured to:

Acquiring the distance traveled by the N pieces of route information to the destination;

Taking the route information with the shortest distance to the destination among the N pieces of route information as the route information.

Optionally, in some optional embodiments, the target route recommendation mode is the route recommendation mode with the shortest time to reach the destination, and the processor 401 is specifically configured to:

Acquiring the time required for the N pieces of route information to reach the destination;

Taking the route information with the shortest time required to reach the destination among the N pieces of route information as the route information.

It can be understood that the functions of each functional module of the mobile terminal in this embodiment can be specifically implemented according to the method in the above method embodiment, and the specific implementation process can refer to the relevant description of the above method embodiment, and will not be repeated here. Part or all of the functional modules in the mobile terminal can be implemented by hardware circuits, and some or all of the functional modules in the mobile terminal can also be implemented by a processor (such as a digital signal processor) by executing code or instructions.

It can be seen that, in the embodiment of the present invention, the mobile terminal generates N pieces of route information according to the current geographic location of the mobile terminal and the destination geographic location; and determines the target route recommendation according to the number of times the route recommendation method stored in the mobile terminal is used. Mode: select route information matching the target route recommendation mode from the N pieces of route information. Compared with the existing technology, selecting the route information matching the target route recommendation method from the N route information to the destination can make the final determined route information solve the route information that the user wants as much as possible, thereby improving indoor navigation. App intelligence and user experience.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. Because of the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or can be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes. .

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still understand the foregoing The technical solutions recorded in each embodiment are modified, or some of the technical features are replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (8)

1. A route recommendation method, characterized in that, comprising: Obtain the current geographic location of the mobile terminal and the geographic location of the destination; Generate N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination, where N is an integer greater than 1; Determine the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used, and the target route recommendation method includes the route recommendation method with the shortest time to reach the destination and the shortest distance to the destination. The route recommendation method; the determination of the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used includes: obtaining all the route recommendation methods stored in the mobile terminal being used within a preset time period The number of times, the preset time period matches the current time of the mobile terminal; the route recommendation method with the largest number of times of all the route recommendation methods used within the preset time period is used as the target route recommendation method; Selecting route information matching the target route recommendation mode from the N pieces of route information. 2. The method according to claim 1, wherein the determining the target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used further comprises: Obtain the number of times all route recommendation methods stored in the mobile terminal are used within a preset time threshold; The route recommendation method whose number of times all the route recommendation methods are used within the preset time threshold range is the largest as the target route recommendation method. 3. The method according to any one of claims 1-2, wherein when the target route recommendation method is the route recommendation method with the shortest distance to the destination, the N Select the route information that matches the target route recommendation method from the route information, including: Acquiring the distance traveled by the N pieces of route information to the destination; Taking the route information with the shortest distance to the destination among the N pieces of route information as the route information. 4. The method according to any one of claims 1 to 2, wherein when the target route recommendation mode is the route recommendation mode with the shortest time to reach the destination, the information from the N pieces of route information Select route information that matches the target route recommendation method, including: Acquiring the time required for the N pieces of route information to reach the destination; Taking the route information with the shortest time required to reach the destination among the N pieces of route information as the route information. 5. A mobile terminal, characterized in that, comprising: An acquisition unit, configured to acquire the current geographic location of the mobile terminal and the geographic location of the destination; A navigation unit, configured to generate N pieces of route information according to the current geographic location of the mobile terminal and the geographic location of the destination acquired by the acquiring unit, where N is an integer greater than 1; A determining unit, configured to determine a target route recommendation method according to the number of times the route recommendation method stored in the mobile terminal is used; wherein, the target route recommendation method includes the route recommendation method with the shortest time to reach the destination and the route recommendation method to reach the destination. The route recommendation method with the shortest distance traveled by the destination; the determining unit is specifically configured to: obtain the number of times all route recommendation methods stored in the mobile terminal are used within a preset time period, and the preset time period is related to Matching the current time of the mobile terminal; using the route recommendation method with the largest number of times of all the route recommendation methods used within the preset time period as the target route recommendation method; A selecting unit, configured to select route information matching the target route recommendation mode from the N pieces of route information. 6. The mobile terminal according to claim 5, wherein the determining unit is further specifically configured to: Obtain the number of times all route recommendation methods stored in the mobile terminal are used within a preset time threshold; The route recommendation method whose number of times all the route recommendation methods are used within the preset time threshold range is the largest as the target route recommendation method. 7. The mobile terminal according to any one of claims 5-6, wherein when the target route recommendation method is the route recommendation method with the shortest distance traveled to the destination, the selection unit specifically Used for: Acquiring the distance traveled by the N pieces of route information to the destination; Taking the route information with the shortest distance to the destination among the N pieces of route information as the route information. 8. The mobile terminal according to any one of claims 5-6, wherein when the target route recommendation method is the route recommendation method with the shortest time to reach the destination, the selecting unit is specifically configured to: Acquiring the time required for the N pieces of route information to reach the destination; Taking the route information with the shortest time required to reach the destination among the N pieces of route information as the route information.