CN104636457B - A kind of method and device of location finding cognition - Google Patents

A kind of method and device of location finding cognition Download PDF

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CN104636457B
CN104636457B CN201510058598.4A CN201510058598A CN104636457B CN 104636457 B CN104636457 B CN 104636457B CN 201510058598 A CN201510058598 A CN 201510058598A CN 104636457 B CN104636457 B CN 104636457B
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traffic information
interest
target location
point
type
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CN104636457A (en
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王沁
宋文纲
宋明
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Shenzhen Huoli century Polytron Technologies Inc
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Next Station Information Technology (shanghai) Co Ltd
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Abstract

The present invention relates to data query technique field, more particularly to a kind of method and device of location finding cognition, to solve the problems, such as presently, there are travelling lodging point searching it is less efficient.This method includes:Determine the traffic information of at least one type in the target area of user's selection between pre-set multiple target locations and at least two point of interest input by user;And for a type of traffic information and a target location, according to the traffic information between the target location and each point of interest, determine that the target location to total traffic information between all points of interest, is then ranked up and/or screens to target location.This technical solution is due to the type by the traffic information according to setting and the target location of search is ranked up total traffic information and/screening, allow users to it is simple and clear find the optimal target location of target area traffic convenience, so as to improve the efficiency of travelling lodging point searching.

Description

A kind of method and device of location finding cognition
Technical field
The present invention relates to data query technique field, more particularly to a kind of method and device of location finding cognition.
Background technology
In travelling, an important link is exactly to select adequate accommodation place (such as hotel, inn, Min Su).At present, User is by the search services of the offers such as website, mobile phone A pp, to find the lodging place for the travelling for being suitble to oneself.
The realization method of website of the prior art or mobile phone A pp is usually:The basic screening condition provided according to user (such as destination city, price, star) scans for, and obtains the huge hotel's list of a data volume.Then, with reference to these The latitude and longitude coordinates in hotel allow user to check the specific location in these hotels one by one on map.However, the convenience of traffic is User is choosing a key factor in lodging place, and the lodging place obtained by the prior art, user can only be by online The common basic function of some of map (for example pull, scaling etc.) judges the traffic convenience of each lodging place (such as hotel) Whether oneself requirement is reached.
However, user is limited to the familiarity of travel destination city, though user to this city Solution, checks the position in a hotels up to a hundred easily to judge that the optimal lodging place of traffic convenience is undoubtedly one one by one on map The very low thing of part efficiency.
Also number of site searches for the place of lodging by the way that user oneself is allowed to delimit a piece of regional extent or transport node, However, the interested place of user (such as famous sites, market, airport etc.) is some specific places, moreover, these users Interested place is it is possible that can be distributed in around multiple regions or transport node.So selection single area or list One transport node scans for, although reducing the quantity of search result, can not ensure the lodging place in search result It is optimal lodging place for a user, therefore, user needs oneself search by multiple regions or transport node As a result optimal lodging place is judged.
In conclusion lodging point searching of travelling in the prior art is less efficient.
The content of the invention
The present invention provides a kind of method and device of location finding cognition, to solve in the prior art travel The less efficient problem of place point searching.
An embodiment of the present invention provides a kind of location finding cognition method, including:
Determine in the target area of user's selection pre-set multiple target locations and input by user at least two emerging The traffic information of at least one type between interest point;
For a type of traffic information and a target location, according between the target location and each point of interest Traffic information determines the target location to total traffic information between all points of interest, wherein total traffic information expression should Target location is to the traffic convenience between all points of interest;
According to the type of total traffic information and the traffic information of setting, the target location is ranked up and/ Or screening.
Since the type by the traffic information according to setting and total traffic information arrange the target location of search Sequence and/screening so that user can be simple and clear finds the optimal target location of target area traffic convenience, so as to improve The efficiency of travelling lodging point searching.
It is preferred that the type of the traffic information is included in mode of transportation, traffic route, running time and transport cost It is one or more of.
Due to being ranked up by the traffic information of one or more types to target location, so that user can be from more Aspect understands target location i.e. lodging place to the traffic convenience of point of interest.
It is preferred that determine user selection target area in pre-set multiple target locations and it is input by user at least Traffic information between two points of interest, including:
Judge whether point of interest input by user is default point of interest;
If it is determined that point of interest input by user is default point of interest, then believed according to point of interest, target location and traffic Correspondence between breath determines the traffic information between point of interest input by user and each target location;
If it is determined that point of interest input by user is not default point of interest, then it is corresponding according to the type of the traffic information Traffic data determines the traffic information between point of interest input by user and pre-set multiple target locations.
Due to the traffic information by predefining out default point of interest and all target locations, carry to a certain extent The high efficiency calculated, and traffic is calculated in real time by obtaining the traffic data of corresponding types for non-default point of interest Information, so as to improve the accuracy of search results ranking and/or screening.
It is preferred that the correspondence between the point of interest, target location and traffic information is true according to following manner Fixed:
Determine the traffic between default each point of interest and pre-set each target location in the target area Information;
According to the definite traffic information, the correspondence between the point of interest, target location and traffic information is established Relation.
It is preferred that after determining total traffic information, before the target location is ranked up and/or is screened, also Including:
For a target location, according to each type of total traffic information and the correspondence of screening conditions, institute is determined State the corresponding screening conditions of the corresponding each type of total traffic information in target location;
Judge whether each type of total traffic information meets the corresponding screening conditions of each type of total traffic information;
If it is determined that there are one or more in the corresponding total traffic information in the target location to be unsatisfactory for the screening conditions Total traffic information of corresponding type, then delete the target location.
Due to after total traffic information is obtained, before sequence and/or screening, being deleted by pre-set screening conditions Except some undesirable target locations, be conducive to improve the speed of data processing.
An embodiment of the present invention provides a kind of location finding cognition device, including:
Input module, for determining pre-set multiple target locations and user's input in the target area of user's selection At least two points of interest between at least one type traffic information;
Determining module, for being directed to a type of traffic information and a target location, according to the target location and often Traffic information between a point of interest determines the target location to total traffic information between all points of interest, wherein described total The traffic information expression target location is to the traffic convenience between all points of interest;
Output module, for the type according to total traffic information and the traffic information of setting, to the target position It puts and is ranked up and/or screens.
It is preferred that the type of the traffic information is included in mode of transportation, traffic route, running time and transport cost It is one or more of.
It is preferred that the input module, is specifically used for:
Judge whether point of interest input by user is default point of interest;
If it is determined that point of interest input by user is default point of interest, then believed according to point of interest, target location and traffic Correspondence between breath determines the traffic letter of at least one type between point of interest input by user and each target location Breath;
If it is determined that point of interest input by user is not default point of interest, then it is corresponding according to the type of the traffic information Traffic data determines the traffic of at least one type between point of interest input by user and pre-set multiple target locations Information.
It is preferred that the input module, is additionally operable to determine the point of interest, target location and traffic according to following manner Correspondence between information:
It determines in the target area between default each point of interest and pre-set each target location at least A type of traffic information;
According to the definite traffic information, the correspondence between the point of interest, target location and traffic information is established Relation.
It is preferred that the determining module, is additionally operable to:
After determining total traffic information, before the target location is ranked up and/or is screened, for a mesh Cursor position according to each type of total traffic information and the correspondence of screening conditions, determines that the target location is corresponding every The corresponding screening conditions of total traffic information of type;
Judge whether each type of total traffic information meets the corresponding screening conditions of each type of total traffic information;
If it is determined that there are one or more in the corresponding total traffic information in the target location to be unsatisfactory for the screening conditions Total traffic information of corresponding type, then delete the target location.
Description of the drawings
Fig. 1 is the flow diagram of the method for one location finding of embodiment of the present invention cognition;
Fig. 2 is the application scenarios schematic diagram of two location finding cognitive approach of the embodiment of the present invention;
Fig. 3 is the flow diagram of the method for three location finding of embodiment of the present invention cognition;
Fig. 4 is the schematic device of four location finding of embodiment of the present invention cognition.
Specific embodiment
The embodiment of the present invention determines pre-set multiple target locations and user's input in the target area of user's selection At least two points of interest between at least one type traffic information;And for a type of traffic information and a mesh Cursor position, according to the traffic information between the target location and each point of interest, determine the target location to all points of interest it Between total traffic information, wherein total traffic information expression target location is to the traffic convenience between all points of interest;Then, According to the type of total traffic information and the traffic information of setting, target location is ranked up and/or is screened.This technical side Case is due to the type by the traffic information according to setting and the target location of search is ranked up total traffic information and/sieve Choosing so that user can be simple and clear finds the optimal target location of target area traffic convenience, so as to improve travelling The efficiency of lodging point searching.
The embodiment of the present invention is described in further detail with reference to Figure of description.
As shown in Figure 1, the method for one location finding of embodiment of the present invention cognition, including:
Step 100, determine user selection target area in pre-set multiple target locations and it is input by user extremely The traffic information of at least one type between few two points of interest;
Step 101, for a type of traffic information and a target location, according to the target location and each interest Traffic information between point determines the target location to total traffic information between all points of interest, wherein total traffic letter Breath represents the target location to the traffic convenience between all points of interest;
Step 102, according to the type of total traffic information and the traffic information of setting, the target location is carried out Sequence and/or screening.
Wherein, target area can be a city such as Beijing etc., and target location can be accommodation venue Dian Ru hotels, visitor Stack, people place etc., point of interest can be sight spot, restaurant, market etc., and target area, target location, point of interest include place Name & Location information, the form of expression of location information can be diversified forms, such as latitude and longitude coordinates, street and number, postal Political affairs coding etc..
Traffic information includes but not limited to public transport train number, circuit, number of transfer and target location to flower between point of interest The time taken and expense, route or other modes of transportation from driving.
Assuming that the application scenarios of the program as shown in Fig. 2, point of interest input by user be A1, A2, A3, pre-set mesh Mark be set to B1, B2 ..., Bn, wherein point of interest A1, A2, A3, pre-set target location B1, B2 ..., where Bn Target area for C, illustrated separately below for the citing of different types of traffic information.
It is illustrated exemplified by when traffic information is mode of transportation, mode of transportation includes public transport mode and not common Mode of transportation, public transport mode include automobile, subway, ship etc., and not common mode of transportation includes walking, automobile, ship etc., if from Mode of transportation between target location B1 to point of interest A1 has 3 kinds, the mode of transportation from target location B1 to point of interest A2 Have 4 kinds, have a kind from the mode of transportation target location B1 to point of interest A3, then from target location B1 to point of interest A1, A2, Total traffic information, that is, total mode of transportation between A3 shares 8 kinds, according to identical method, respectively obtains target location B2 to interest Total mode of transportation and other target locations between point A1, A2, A3 arrive total traffic side between point of interest A1, A2, A3 respectively Formula, wherein target location are more to the mode of transportation between all points of interest, then the target location to the traffic of all points of interest It is more convenient, if target location B2 shares 4 kinds to total mode of transportation between point of interest A1, A2, A3, illustrate that target location B1 is arrived Point of interest A1, A2, A3 are more more convenient than the traffic of target location B2, and so on, according to target location to all points of interest Target location is ranked up by traffic convenience from big to small, facilitates the selection of user, improves the efficiency of location finding, if User tends to public transport mode, then pushes away target location in order to the convenient target location of public transport between point of interest It recommends to user, is scanned for without user for each point of interest, the progress of obtained target location is artificially relatively expired The target location of sufficient user demand.
By when traffic information be traffic route when exemplified by illustrate, traffic route include public bus network, train number, road title Deng.If it is 1000 meters from the most short traffic route target location B1 to point of interest A1, from target location B1 to point of interest A2 Between 500 meters of most short traffic route, from the most short traffic route target location B1 to point of interest A3 be 800 meters, then from Target location B1 to total traffic route between point of interest A1, A2, A3 be 2300 meters, respectively obtained according to identical method and its Total traffic route between point of interest A1, A2, A3 is arrived in his target location respectively, and wherein target location is between all points of interest Traffic route is shorter, then the traffic of the target location to all points of interest is more convenient, if target location B2 to point of interest A1, A2, Total traffic route between A3 is 2000 meters, then illustrates target location B2 to the traffic between point of interest A1, A2, A3 than target Position B1 is more convenient.And so on, according to the traffic convenience of target location to all points of interest from big to small by target position It puts and is ranked up, facilitate the selection of user, improve the efficiency of location finding, searched without user for each point of interest Obtained target location is carried out the artificial target location for comparing to obtain meeting user demand by rope.
By when traffic information be running time when exemplified by illustrate, running time be from target location to point of interest it Between spent time.It is more due to that may have from a target location to the route a point of interest and mode of transportation It is a, it, will be spent when only using running time as during the reference frame of target location to the traffic convenience between point of interest Minimum time as running time, if from the running time target location B1 to point of interest A1 for 1 it is small when, from target location It is small for 2 from the running time target location B1 to point of interest A3 when running time between B1 to point of interest A2 is 0.5 small When, then when target location B1 to overall travel time between point of interest A1, A2, A3 is 3.5 small, respectively obtained according to identical method And the overall travel time between point of interest A1, A2, A3, wherein target location to all points of interest are arrived in other target locations respectively Between running time it is shorter, then the traffic of the target location to all points of interest is more convenient, if target location B2 is to point of interest When overall travel time between A1, A2, A3 is 3 small, then illustrate that target location B2 will to the traffic between point of interest A1, A2, A3 It is more more convenient than target location B1.And so on, from big to small will according to the traffic convenience of target location to all points of interest Target location is ranked up, and facilitates the selection of user, improves the efficiency of location finding, and each point of interest is directed to without user It scans for, obtained target location is subjected to the artificial target location for comparing to obtain meeting user demand.
Similarly, when user compares care for transport cost, by count each target location and each point of interest it Between transport cost, each target location is then calculated to total transport cost between all points of interest, due to from a mesh Cursor position may have to the route between a point of interest and mode of transportation it is multiple, when only using transport cost as target location To the traffic convenience between point of interest reference frame when, using the least cost spent as transport cost, that is to say, that It is 10 yuan from the transport cost target location B1 to point of interest A1, the transportation expenses from target location B1 to point of interest A2 Be 5 yuan from the transport cost target location B1 to point of interest A3 with for 15 yuan, then target location B1 to point of interest A1, A2, Between A3 total transport cost be 30 yuan, respectively obtained according to identical method and other target locations arrive respectively point of interest A1, Total transport cost between A2, A3, according to target location to all points of interest transport cost from small to large by target location into Row sequence, facilitates the selection of user, improves the efficiency of location finding, in addition, user can also screen traffic as needed Expense is in the target location in a certain section.
When by determine several types traffic information be used as target location to the traffic convenience of point of interest reference according to According to when, it is more accurate to search for obtained target location.Such as:By determining target location to the traffic side between point of interest Formula, traffic route, traffic time and transportation expenses are used for determining target location to the convenience between point of interest.Work as target location More to the mode of transportation between point of interest, the time it takes is shorter, and expense is fewer, and the traffic of target location is more convenient. If user tends to not common mode of transportation, the target that traffic is more convenient in not common mode of transportation can also be only filtered out Position.
Specifically, when have 3 kinds from target location B1 to the mode of transportation point of interest A1, A2, A3, when total traffic road The most short total transport cost spent when being 3500 meters of line is 150 yuan, when total transport cost of cost is 60 yuan minimum, total traffic road Line is 6000 meters, has 3 kinds from target location B2 to the mode of transportation point of interest A1, A2, A3, is when total traffic route is most short The total transport cost spent at 3500 meters is 100 yuan, and when total transport cost of cost is 70 yuan minimum, total traffic route is 5000 In this case, if according to the condition of the selection of user or setting, the priority of traffic route is more than transport cost for rice Priority, then it is total traffic route between target location and point of interest is smaller as traffic advantageously target location, when It is when total traffic route is identical, total transport cost is smaller as traffic advantageously target location, then target in the example For position B2 compared with the B1 of target location, target location B2 is more convenient to the traffic between all points of interest.If according to user's Selection or the condition of setting, the priority of transport cost is more than the priority of traffic route, then by target location B1 to institute Minimum 60 yuan of total transport cost between interesting point, target location B2 are minimum to total transport cost between all points of interest For 70 yuan, then under this rule, target location B1 is compared with the B2 of target location, target location B1 to the friendship between all points of interest It is logical more convenient.
Different target areas is selected, pre-set target location and default point of interest can also occur to become accordingly Change.
Target location be from third party obtain it is pre-set, when the information in target location such as hotel changes, such as Some hotels close or newly opened a business some new hotels when, then the information of target location is periodically obtained from third party, is led to Current target position information is updated after the target location newly obtained, so that the number of current pre-set target location According to authentic and valid.
It is preferred that the type of traffic information includes one kind in mode of transportation, traffic route, running time and transport cost It is or several.
Wherein, mode of transportation is the available mode of transportation between target location to point of interest, including public transport mode With not common mode of transportation;Include but not limited to road name by bus in traffic route, ride public transportation means Bus Schedules (such as The train number of public transport or the circuit of subway etc.) etc. with the relevant information of traffic route;Running time refer to from target location to The time spent by using each available traffic time between point of interest, in a manner of public transport exemplified by, when driving Between the form of expression can be hour, the number of minutes, or station number, number etc. of transfer of approach.
In step 101, by taking running time as an example, for example, using public mode of transportation, from point of interest A1 to target location The most short running time of B1 is t1, and the most short running time from point of interest A2 to target location B1 is t2 ... ..., from point of interest An Most short running time to target location B1 is tn, then total traffic information of running time is the adduction of t1 to tn, can also be used The average value of adduction represents total traffic information of running time, can also be that other modes can represent target location B1 to owning The running time of point of interest.
Other types of total traffic information is similar with the method for determination of total traffic information of running time, no longer superfluous herein It states, the calculation to tally with the actual situation.
And that is its shorter traffic convenience of total traffic information of target location to the running time of all points of interest It is higher that higher or number of transfer lacks traffic convenience.
It is preferred that determine user selection target area in pre-set multiple target locations and it is input by user at least Traffic information between two points of interest, including:
Judge whether point of interest input by user is default point of interest;
If it is determined that point of interest input by user is default point of interest, then believed according to point of interest, target location and traffic Correspondence between breath determines the traffic information between point of interest input by user and each target location;
If it is determined that point of interest input by user is not default point of interest, then it is corresponding according to the type of the traffic information Traffic data determines the traffic information between point of interest input by user and pre-set multiple target locations.
Wherein, default point of interest may be displayed in the equipment of client, be made choice for user.It is default all emerging Traffic information between interest point and target location, by obtaining from third party and presetting the relevant friendship of point of interest and target location Logical data, precalculate to obtain and store in corresponding database, when point of interest input by user is default point of interest, root Corresponding traffic information is directly obtained from database according to the correspondence of point of interest, target location and traffic information.Such as It, thus can be to avoid the number computed repeatedly if point of interest is some popular sight spots.
It is preferred that the correspondence between the point of interest, target location and traffic information is true according to following manner Fixed:
Determine the traffic between default each point of interest and pre-set each target location in the target area Information;
According to the definite traffic information, the correspondence between the point of interest, target location and traffic information is established Relation.
However some points of interest are the interested place of individual user rather than have generality, there is no need to these are emerging Precalculating for traffic information between interest point and target location stores in the database, need to only be calculated in real time when needed .After if the interested place input quantity of individual user reaches certain quantity, which can be updated to pre- In the point of interest first set.
In step 102, the traffic information type of setting can be the traffic information class set according to their needs in user Type or the traffic information type given tacit consent in advance.
It is preferred that after determining total traffic information, before the target location is ranked up and/or is screened, also Including:
For a target location, according to each type of total traffic information and the correspondence of screening conditions, institute is determined State the corresponding screening conditions of the corresponding each type of total traffic information in target location;
Judge whether each type of total traffic information meets the corresponding screening conditions of each type of total traffic information;
If it is determined that there are one or more in the corresponding total traffic information in the target location to be unsatisfactory for the screening conditions Total traffic information of corresponding type, then delete the target location.
Wherein, each type of total traffic information is to be set in advance in corresponding database with the correspondence of screening conditions In.
Specifically, due to the target location substantial amounts in target area, for example, Beijing all hotels have it is thousands of Family, the traffic convenience between some hotels and all points of interest input by user is very poor, such as total running time or distance More than the scope that user can bear, then these target locations are directly deleted, it is preferable that comprehensive traffic convenience is presented to user Target location reduces the calculation amount of equipment, so as to improve the speed of data calculating.
If as shown in Fig. 2, point of interest input by user be A1, A2, A3, target location B1, B2 ..., Bn.If target Position B3 only has one kind to the mode of transportation between point of interest A1, A2, A3, when running time is 24 small, if screening conditions are row Sail the time it is small less than 5 when, then delete target position B3.Further, it is also possible to different screenings is set according to different target areas Condition.
As shown in figure 3, the method for three location finding of embodiment of the present invention cognition, including:
Step 300, according to the corresponding traffic data of type of traffic information, determine each default point of interest with setting in advance Traffic information between the target location put, and establish the correspondence between point of interest, target location and traffic information.
Step 301, judge whether point of interest input by user is default point of interest, if so, step 302 is performed, it is no Then perform step 303.
Step 302, according to the correspondence between point of interest, target location and traffic information, determine input by user After traffic information between point of interest and each target location, step 204 is performed.
Step 303, according to the corresponding traffic data of type of the traffic information, point of interest input by user and pre- is determined Traffic information between the multiple target locations first set.
Step 304, according to the traffic information between the target location and each point of interest, determine the target location to all Total traffic information between point of interest.
Step 305, according to each type of total traffic information and the correspondence of screening conditions, the target location is determined The corresponding screening conditions of corresponding each type of total traffic information.
Step 306, judge whether each type of total traffic information meets the corresponding sieve of each type of total traffic information Condition is selected, step 308 is performed if meeting, otherwise performs step 307.
Step 307, the target location is deleted, this flow terminates.
Step 308, the target location is retained, and according to the type of total traffic information and the traffic information of setting, to protecting The target location stayed is ranked up and/or screens.
Based on same inventive concept, a kind of device of location finding cognition is additionally provided in the embodiment of the present invention, due to this The corresponding method of device of inventive embodiments location finding cognition shown in Fig. 4 is the method for location finding shown in FIG. 1 cognition, Therefore the implementation of equipment of the embodiment of the present invention may refer to the implementation of method, and overlaps will not be repeated.
As shown in figure 4, the device of four location finding of embodiment of the present invention cognition, including:
Input module 400, for determining pre-set multiple target locations and user in the target area of user's selection The traffic information of at least one type between at least two points of interest of input;
Determining module 401, for being directed to a type of traffic information and a target location, according to the target location and Traffic information between each point of interest, determines the target location to total traffic information between all points of interest, wherein total hand over Communication breath represents the target location to the traffic convenience between all points of interest;
Output module 402 for the type according to total traffic information and the traffic information of setting, carries out target location Sequence and/or screening.
It is preferred that the type of traffic information includes one kind in mode of transportation, traffic route, running time and transport cost It is or several.
It is preferred that input module 400, is specifically used for:
Judge whether point of interest input by user is default point of interest;
If it is determined that point of interest input by user is default point of interest, then believed according to point of interest, target location and traffic Correspondence between breath determines the traffic letter of at least one type between point of interest input by user and each target location Breath;
If it is determined that point of interest input by user is not default point of interest, then according to the corresponding traffic of type of traffic information Data determine the traffic letter of at least one type between point of interest input by user and pre-set multiple target locations Breath.
It is preferred that input module 400, is additionally operable to determine point of interest, target location and traffic information according to following manner Between correspondence:
Determine at least one between default each point of interest and pre-set each target location in target area The traffic information of type;
According to definite traffic information, the correspondence between point of interest, target location and traffic information is established.
It is preferred that determining module 401, is additionally operable to:
After determining total traffic information, before target location is ranked up and/or is screened, for a target location, According to each type of total traffic information and the correspondence of screening conditions, the corresponding each type of total friendship in target location is determined Communication ceases corresponding screening conditions;
Judge whether each type of total traffic information meets the corresponding screening conditions of each type of total traffic information;
If it is determined that there are one or more in the corresponding total traffic information in target location to be unsatisfactory for the corresponding class of screening conditions Total traffic information of type, then delete target position.
It can be seen from the above:The embodiment of the present invention determines pre-set multiple in the target area of user's selection The traffic information of at least one type between target location and at least two point of interest input by user;And for a type Traffic information and a target location, according to the traffic information between the target location and each point of interest, determine the target Position is to total traffic information between all points of interest, wherein total traffic information expression target location is between all points of interest Traffic convenience;Then, according to the type of total traffic information and the traffic information of setting, target location is ranked up And/or screening.This technical solution is since the type by the traffic information according to setting and total traffic information are to search Target location is ranked up and/screening so that user can be simple and clear finds the optimal mesh of target area traffic convenience Cursor position so as to improve the efficiency of travelling lodging point searching, solves travelling lodging place in the prior art and searches The less efficient problem of rope.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program Product.Therefore, the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the present invention Apply the form of example.Moreover, the computer for wherein including computer usable program code in one or more can be used in the present invention The computer program production that usable storage medium is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) The form of product.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted Series of operation steps is performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic creation Property concept, then can make these embodiments other change and modification.So appended claims be intended to be construed to include it is excellent It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art God and scope.In this way, if these modifications and changes of the present invention belongs to the scope of the claims in the present invention and its equivalent technologies Within, then the present invention is also intended to comprising including these modification and variations.

Claims (10)

  1. A kind of 1. method of location finding cognition, which is characterized in that this method includes:
    Determine pre-set multiple target locations and at least two point of interest input by user in the target area of user's selection Between at least one type traffic information;
    For a type of traffic information and a target location, according to the traffic between the target location and each point of interest Information determines the target location to total traffic information between all points of interest, wherein described total traffic information expression target Position is to the traffic convenience between all points of interest;
    According to the type of total traffic information and the traffic information of setting, the target location is ranked up and/or sieved Choosing.
  2. 2. the method as described in claim 1, which is characterized in that the type of the traffic information includes mode of transportation, traffic road One or more of line, running time and transport cost.
  3. 3. the method as described in claim 1, which is characterized in that determine pre-set multiple in the target area of user's selection The traffic information of at least one type between target location and at least two point of interest input by user, including:
    Judge whether point of interest input by user is default point of interest;
    If it is determined that point of interest input by user be default point of interest, then according to point of interest, target location and traffic information it Between correspondence, determine the traffic information of at least one type between point of interest input by user and each target location;
    If it is determined that point of interest input by user is not default point of interest, then according to the corresponding traffic of type of the traffic information Data determine the traffic letter of at least one type between point of interest input by user and pre-set multiple target locations Breath.
  4. 4. method as claimed in claim 3, which is characterized in that between the point of interest, target location and traffic information Correspondence is determined according to following manner:
    Determine at least one between default each point of interest and pre-set each target location in the target area The traffic information of type;
    According to the definite traffic information, the correspondence between the point of interest, target location and traffic information is established.
  5. 5. the method as described in claim 1, which is characterized in that after determining total traffic information, to the target location Before being ranked up and/or screening, further include:
    For a target location, according to each type of total traffic information and the correspondence of screening conditions, the mesh is determined The corresponding screening conditions of the corresponding each type of total traffic information of cursor position;
    Judge whether each type of total traffic information meets the corresponding screening conditions of each type of total traffic information;
    It is corresponded to if it is determined that be unsatisfactory for the screening conditions there are one or more in the corresponding total traffic information in the target location Type total traffic information, then delete the target location.
  6. 6. a kind of device of location finding cognition, which is characterized in that the device includes:
    Input module, for determine user selection target area in pre-set multiple target locations and it is input by user extremely The traffic information of at least one type between few two points of interest;
    Determining module, for being directed to a type of traffic information and a target location, according to the target location and each emerging Traffic information between interest point, determines the target location to total traffic information between all points of interest, wherein total traffic Information represents the target location to the traffic convenience between all points of interest;
    Output module, for the type according to total traffic information and the traffic information of setting, to the target location into Row sequence and/or screening.
  7. 7. device as claimed in claim 6, which is characterized in that the type of the traffic information includes mode of transportation, traffic road One or more of line, running time and transport cost.
  8. 8. device as claimed in claim 6, which is characterized in that the input module is specifically used for:
    Judge whether point of interest input by user is default point of interest;
    If it is determined that point of interest input by user be default point of interest, then according to point of interest, target location and traffic information it Between correspondence, determine the traffic information of at least one type between point of interest input by user and each target location;
    If it is determined that point of interest input by user is not default point of interest, then according to the corresponding traffic of type of the traffic information Data determine the traffic letter of at least one type between point of interest input by user and pre-set multiple target locations Breath.
  9. 9. device as claimed in claim 8, which is characterized in that the input module is additionally operable to determine institute according to following manner State the correspondence between point of interest, target location and traffic information:
    Determine at least one between default each point of interest and pre-set each target location in the target area The traffic information of type;
    According to the definite traffic information, the correspondence between the point of interest, target location and traffic information is established.
  10. 10. device as claimed in claim 9, which is characterized in that the determining module is additionally operable to:
    After determining total traffic information, before the target location is ranked up and/or is screened, for a target position It puts, according to each type of total traffic information and the correspondence of screening conditions, determines that the target location is corresponding per species The corresponding screening conditions of total traffic information of type;
    Judge whether each type of total traffic information meets the corresponding screening conditions of each type of total traffic information;
    It is corresponded to if it is determined that be unsatisfactory for the screening conditions there are one or more in the corresponding total traffic information in the target location Type total traffic information, then delete the target location.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106649332B (en) * 2015-10-29 2021-02-19 创新先进技术有限公司 Method and device for searching interest points on map
CN106776676A (en) * 2016-11-01 2017-05-31 北京百度网讯科技有限公司 The method and apparatus that the automatic day recommended in tour schedule stays
CN108121725B (en) * 2016-11-29 2021-10-19 阿里巴巴集团控股有限公司 Searching method and device
CN111191151B (en) * 2019-12-20 2023-08-25 上海淇玥信息技术有限公司 Method and device for pushing information based on POI (point of interest) tag and electronic equipment
CN113672812A (en) * 2021-08-25 2021-11-19 北京三快在线科技有限公司 Site recommendation method and device
CN114817743A (en) * 2022-05-17 2022-07-29 北京百度网讯科技有限公司 Interest point searching method and device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101963960A (en) * 2009-07-22 2011-02-02 刘旸 Travel route and scheduling generation method and server
CN102645220A (en) * 2012-05-21 2012-08-22 诚迈科技(南京)有限公司 Intelligent trip mode real-time planning recommendation method
CN103678489A (en) * 2013-11-12 2014-03-26 中国联合网络通信有限公司广东省分公司 Smart city travel information recommending method and device
CN103995840A (en) * 2014-04-30 2014-08-20 洛阳众意信息技术服务有限公司 Intelligent domestic traveling route generating method oriented to customization

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130311322A1 (en) * 2012-05-17 2013-11-21 Reservend, Inc. Computer-implemented methods and systems for providing customized product or service recommendations to travelers

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101963960A (en) * 2009-07-22 2011-02-02 刘旸 Travel route and scheduling generation method and server
CN102645220A (en) * 2012-05-21 2012-08-22 诚迈科技(南京)有限公司 Intelligent trip mode real-time planning recommendation method
CN103678489A (en) * 2013-11-12 2014-03-26 中国联合网络通信有限公司广东省分公司 Smart city travel information recommending method and device
CN103995840A (en) * 2014-04-30 2014-08-20 洛阳众意信息技术服务有限公司 Intelligent domestic traveling route generating method oriented to customization

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