WO2016197857A1 - 位置信息提供方法及装置 - Google Patents

位置信息提供方法及装置 Download PDF

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Publication number
WO2016197857A1
WO2016197857A1 PCT/CN2016/084594 CN2016084594W WO2016197857A1 WO 2016197857 A1 WO2016197857 A1 WO 2016197857A1 CN 2016084594 W CN2016084594 W CN 2016084594W WO 2016197857 A1 WO2016197857 A1 WO 2016197857A1
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WIPO (PCT)
Prior art keywords
user
area
determining
users
region
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PCT/CN2016/084594
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English (en)
French (fr)
Inventor
邵明旭
潘浩源
徐笛
钱劭立
邹润
孔健
王涛
王辉
Original Assignee
阿里巴巴集团控股有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by 阿里巴巴集团控股有限公司 filed Critical 阿里巴巴集团控股有限公司
Priority to ES16806755T priority Critical patent/ES2878059T3/es
Priority to EP16806755.1A priority patent/EP3309693B1/en
Priority to JP2017564584A priority patent/JP6756744B2/ja
Priority to PL16806755T priority patent/PL3309693T3/pl
Priority to SG11201710020TA priority patent/SG11201710020TA/en
Priority to KR1020187000412A priority patent/KR102175603B1/ko
Publication of WO2016197857A1 publication Critical patent/WO2016197857A1/zh
Priority to US15/838,100 priority patent/US20180101541A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2228—Indexing structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/06—Arrangements for sorting, selecting, merging, or comparing data on individual record carriers
    • G06F7/08—Sorting, i.e. grouping record carriers in numerical or other ordered sequence according to the classification of at least some of the information they carry
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information

Definitions

  • the present application relates to positioning technologies, and in particular, to a location information providing method and apparatus.
  • Spatial location refers to the process of selecting a location for one or more location objects within a certain geographic area to optimize an indicator or comprehensive indicator.
  • a questionnaire survey is usually used to understand the situation of a group of people in a certain area, and then the questionnaire is analyzed, and corresponding position information is provided to the user according to the analysis result to help The user makes a location decision.
  • a location information providing method and apparatus are provided for solving the problem that the location information provided to the user in the prior art is not accurate enough.
  • a location information providing method includes: a server receiving a keyword input by a first user; determining a target user feature according to a keyword; determining a first region, where the first region includes multiple a second area; determining, according to the location information of the user in the first area, the number of second users having the target user feature in each second area; determining the candidate area from the plurality of second areas according to the second number of users; providing the candidate area To the first user.
  • a location information providing apparatus which is applied to a server, including: a receiving module, configured to receive a keyword input by a first user; and a feature determining module, configured to determine a target according to a keyword a user identifier; a first area determining module, configured to determine a first area; a user quantity determining module, configured to determine, according to location information of the user in the first area, a number of second users having target user characteristics in each second area; The area determining module is configured to determine the candidate area from the plurality of second areas according to the second number of users; and the result feedback module is configured to provide the candidate area to the first user.
  • the location information providing method and apparatus in the embodiment of the present application determine the number of users having the target user characteristics in each second area according to the location of the user in the target area, and further according to the number of users having the target user characteristics.
  • the candidate area is determined in the second area, and the candidate area is finally provided to the user, so that the user can intuitively understand the distribution of the target users in each second area, and avoid the scope and quantity of the questionnaires in the prior art.
  • the problem of low accuracy caused by honesty improves the accuracy of the location information provided to the user.
  • FIG. 1 is a flowchart of a method for providing location information according to Embodiment 1 of the present application;
  • FIG. 2 is a schematic structural diagram of a location information providing apparatus according to Embodiment 2 of the present application.
  • FIG. 3 is a flowchart of a location information providing method according to Embodiment 3 of the present application.
  • site selection should not only consider geographical location, traffic, environment and other factors, but also consider human factors.
  • the data collection cost is higher: the offline research of the questionnaire costs more manpower and material resources;
  • the timeliness of the data is insufficient and the sample may be biased: the survey results and the final site selection time are longer, and the sample of the survey is subject to human factors and there may be deviations;
  • This application addresses the above deficiencies, using big data technology to reduce data collection costs, strengthen the timeliness of data, and integrate online and offline behaviors of users.
  • the location of the site provides new ideas and solutions that complement the traditional site selection approach. According to the common location of the mobile Internet user line, combined with the online behavior characteristics of the user, the application uses big data to help the enterprise user solve the location problem.
  • the present application provides a solution for providing location information to a user according to the location and user characteristics of the user in the target area, which can avoid the problem that the accuracy of the location information providing solution in the prior art is low, and improve the location provided to the user.
  • the accuracy of the information can avoid the problem that the accuracy of the location information providing solution in the prior art is low, and improve the location provided to the user. The accuracy of the information.
  • FIG. 1 is a flowchart of a method for providing location information according to Embodiment 1 of the present application.
  • the location information providing method according to Embodiment 1 of the present application includes the following steps:
  • the server receives a keyword input by the first user.
  • S106 Determine, according to the location information of the user in the first area, the number of second users in the second area that have the target user feature.
  • S108 Determine candidate regions from the plurality of second regions according to the second number of users.
  • the first user may be a user having a spatial location requirement
  • the second user may be a user having a target user feature in the second area
  • the server may receive the keyword input by the first user in multiple manners, such as the server receiving a location information request message from the client, where the request message carries a keyword input by the first user on the client; or, the server The keyword input by the first user through the input and output device of the server is directly received, which is not limited in this application.
  • a plurality of commonly used technical means in the field may be used to receive keywords input by the user.
  • the first user may input the keyword directly in the input box, or may perform the option provided to the user on the page. Selections and the like, those skilled in the art should understand that the above manner of receiving the keywords input by the first user is used for illustrative purposes and is not intended to limit the application.
  • determining the target user feature according to the keyword may adopt various manners, for example, if the keyword input by the user is consistent with the target user feature pre-stored in the server, the target user feature may be directly determined, if the key input by the user If the word is inconsistent with the target user feature pre-stored in the server, the corresponding target user feature may be determined according to the correspondence between the keyword and the target user feature, and the corresponding relationship may be pre-stored, or the server may self-learn from the network.
  • the present application does not limit this.
  • the target user characteristics include, for example, user occupation, age, consumption level, and consumption period.
  • the feature keywords of the target user of the first user those skilled in the art should understand that all the features related to the person are within the protection scope of the present application.
  • the manner of determining the first area may be determined according to the location information that the first user is currently located, or may be determined according to the target area input by the first user, and may also provide the target area option to the user, and then according to The user's choice determines how the first area is.
  • the first user is determined to be in Beijing according to the IP address of the first user to access the Internet, and the first area is determined to be Beijing; or the mobile phone number of the first user may be determined according to the account that the first user logs in, and then The location of the number to access the mobile network determines that the first user is currently located in Hangzhou, and determines that the first area is Hangzhou; or, if the user inputs “Chengdu”, the first area is determined to be Chengdu. It should be understood by those skilled in the art that the above manner of determining the first region is for illustrative purposes and is not intended to limit the application.
  • the location of the user in the first area within a predetermined time period is generally selected to determine the second number of users, and the predetermined time period may be, for example, the most recent month, the last two months, the last three months, and the like. It can be set according to specific needs or the specific conditions of data collection.
  • the location of the user in the first area may be obtained through a network accessed by the user in the first area, or the user's location may be obtained through an application that the user logs in, such as an Alipay registered by the user.
  • the step of determining the second region is not limited in this application.
  • determining the candidate region from the plurality of second regions according to the second number of users may adopt various manners, for example, sorting the second regions according to the number of the second users, and using the region ranked first as the candidate region. Or, the second area in which the number of the second user is greater than a predetermined value is used as the candidate area or the like, which is not limited in this application.
  • providing the candidate area to the first user may adopt multiple manners.
  • the candidate area may be provided to the user in the form of text, such as: a first recommended area: A area; and a second recommended area: B
  • the area... can also provide the candidate area to the user in a more intuitive manner, such as being highlighted on the map. For example, the more the second user, the darker the color, the lower the transparency, and the less the second user. The lighter the area, the higher the transparency and so on.
  • the user input may be further removed before the candidate area is provided to the first user.
  • Pre-excluded location For example, if the user inputs a plurality of second regions that do not need attention, then before the candidate regions are provided to the first user, the second regions that the users do not need to pay attention are excluded from the candidate regions, so that the location information provided to the user is further Meet user requirements.
  • a user currently has a high-end café in the A area of Beijing, and wants to open another chain store. At this time, the user is in Hangzhou.
  • the user selects “ Beijing as the first area; after entering the target user characteristics "white collar” "high frequency middle amount", input the pre-excluded A position, and select A's coverage as 2 km centered on A; processed and sorted by data After that, four second regions B, C, D, and E other than A are determined as candidate regions to be highlighted on the map of Beijing and returned to the user as a site selection reference.
  • the candidate region is further determined according to the number of users having the target user feature.
  • the candidate area is provided to the user, so that the user can intuitively understand the distribution of the target users in each second area, and avoid the low accuracy caused by the scope, quantity and honesty of the questionnaire in the prior art.
  • the problem is to improve the accuracy of the location information provided to the user.
  • the method further includes: dividing the first area into the plurality of second areas according to a predetermined rule; acquiring the reservation The location of all third users in the first area within the time period; acquiring the user characteristics of all third users in the first area within the predetermined time period.
  • the first area is divided into a plurality of second areas according to a predetermined rule, and the first area may be divided according to a predetermined area size, such as 20 meters*20 meters, or may be collected first.
  • the user's location is converted into latitude and longitude, and then converted to the corresponding second region according to the application of the geographic location service provider, such as the interface provided by the high-tech map; it may also be divided according to the population density, for example, in a region with a large population density. (such as the city center, etc.), divided by smaller area sizes; in areas with small population density (such as suburbs, etc.), divided by smaller area sizes.
  • the location of the user may be obtained through a network accessed by the user, or the location of the user may be obtained through an application that the user logs in.
  • the first area is divided into a plurality of second areas according to a predetermined rule, the positions of all the third users in the first area in the predetermined time period are acquired, and the first area in the predetermined time period is acquired.
  • the second number of users having the target user characteristics in each of the second regions may be performed before the step.
  • the first area may be divided into a plurality of second areas in advance according to a predetermined rule, and all the third areas in the first area in the predetermined time period may be acquired.
  • User location and acquiring user characteristics of all third users in the first area within a predetermined time period, so as to quickly obtain the second after receiving the keyword input by the user including the first area and the target user feature
  • the number of users with the target user characteristics in the area and sorting according to the quantity, and finally quickly returning the location information to the user, thereby improving the user experience.
  • acquiring the location of the third user in the first area within the predetermined time period specifically includes: acquiring a plurality of second areas in which the third user in the first area is registered in the predetermined application within the predetermined time period, and each third user The number of times the application is logged in the second area; the second area where the third user logs in the application is the position of the third user.
  • Each user logs in to the area where the predetermined number of applications is the most, that is, the life circle of the user for the most recent period of time.
  • the target user input by the first user further includes the time characteristics of the target user during the day, night, and the like. Then, when the number of times the user logs in to the predetermined application in each area is obtained, the specific time period in which the user logs in to the predetermined application in each area is further clarified, so as to subsequently determine the number of times the user logs in to the application in each area during the day, and the user night.
  • the second area is used as the location of the user during the day, and the second area where the number of logins by each user is the most in the evening is taken as the position of the user at night.
  • the predetermined application may be any application with a location collection service function, such as Alipay, QQ, Weibo, WeChat, and the like. It should be understood by those skilled in the art that the foregoing description is only for the purpose of illustration and is not intended to limit the application.
  • the correspondence between the third user and the predetermined application needs to be determined, and the corresponding relationship may be determined by various means commonly used by those skilled in the art. For example, the correspondence between the ID of the application and the mobile phone number, the correspondence between the IP address of the user logging in to the application, and the IP address of the user device. It should be understood by those skilled in the art that the foregoing description is only for the purpose of illustration and is not intended to limit the application.
  • acquiring the user features of all the third users in the first area in the predetermined period includes: acquiring network information of the third user in the first area; and determining user characteristics of each third user according to the network information.
  • acquiring the user characteristics of the third user may be in multiple ways: for example, by the user.
  • the user information of the registered predetermined application is determined, for example, determining the age, gender, birthday, etc. of the user according to the user information in the instant messaging tool (for example, QQ); determining the identity of the user according to the common logistics address of the user is the university/office building It is a college student/white-collar worker; according to the frequency and amount of money purchased by the user, the user's consumption characteristics are high-frequency and high-value.
  • determining the number of second users having the target user feature in each second area specifically includes: determining a third user whose location is in each second area; screening a second user having the target user feature from the third user, and Count the number of second users.
  • determining the candidate region from the plurality of second regions according to the second number of users comprises: determining an index value of the target user feature in each second region according to the second number of users; sorting the plurality of second regions according to the index value
  • M is a predetermined value.
  • the second region whose number of users is less than a predetermined value, for example, 100, may be further excluded before sorting the second region from small to large according to the number of second users.
  • the number of users with specified user characteristics is converted into an index of [0-100], and the number of occurrences of each index approximately satisfies the normal distribution.
  • the number of users may also be converted into an index by other methods commonly used by those skilled in the art, and the application is not limited.
  • the user quantity in the block that satisfies the label condition is converted into an index of 0-100, and the sensitive one can be avoided without affecting the order of the number of second users in the area.
  • User quantity data; at the same time, all the number of users with specified user characteristics are converted into block index, which can reduce the amount of calculation, avoid the operation of user-level data, speed up the response speed of providing location information to users, and improve user experience. .
  • the number of target users input by the first user is multiple
  • determining the number of the second users having the target user features in each second area specifically includes: determining a plurality of seconds having the respective target user features in each second area.
  • X1, X2, X3... are the index values of each target user feature
  • a, b, c... are the weights of each target user feature; Sort multiple second regions.
  • the preset weight may be set by the first user, or may be a default weight, for example, each user feature adopts an average weight, or an empirical value weight is applied to each user feature; Within the scope of the application, this application does not limit this.
  • the location information providing method in the embodiment of the present application after receiving the keyword input by the user including the target user feature, the number of users having the target user feature in each second region can be determined according to the location of the user in the target region. And further determining the candidate area according to the number of users having the target user feature, and finally providing the candidate area to the user, thereby enabling the user to intuitively understand the distribution of the target users in each of the second areas, thereby avoiding relying on the questionnaire in the prior art.
  • the problem of low accuracy caused by the scope, quantity and honesty of the survey population improves the accuracy of the location information provided to the user.
  • a location information providing apparatus is also provided in the embodiment of the present application. Since the principle of solving the problem is similar to the location information providing method, the implementation of the apparatus can refer to the implementation of the method, and the repetition is no longer Narration.
  • FIG. 2 is a schematic structural diagram of a location information providing apparatus according to Embodiment 2 of the present application.
  • the location information providing apparatus 200 applied to the server according to the second embodiment of the present application includes the following modules: a receiving module 202, configured to receive a keyword input by a first user, and a feature determining module 203, configured to: Determining the target user feature according to the keyword; the first region determining module 204 is configured to determine the first region, the first region includes a plurality of second regions, and the user quantity determining module 206 is configured to use the user in the first region
  • the location information determines the number of second users having the target user characteristics in each of the second areas; the candidate area determining module 208 is configured to determine the candidate areas from the plurality of second areas according to the second number of users; the result feedback module 210 is configured to The candidate area is provided to the first user.
  • the receiving module 202 and the result feedback module 210 are usually located at the client, the first area determining module 204 may be located at the client, or may be located at the server, and the number of users determining module 206 and the candidate area determining module 208 are usually located at the service.
  • the above embodiments are only for the purpose of facilitating the implementation by those skilled in the art. The illustrations are not intended to limit the application.
  • the location information providing apparatus 200 further includes: a block dividing module, configured to divide the first area into a plurality of second areas according to a predetermined rule; and a location acquiring module, configured to acquire the first area within a predetermined time period a location of all third users; a user feature acquisition module, configured to acquire user features of all third users in the first region within a predetermined time period.
  • a block dividing module configured to divide the first area into a plurality of second areas according to a predetermined rule
  • a location acquiring module configured to acquire the first area within a predetermined time period a location of all third users
  • a user feature acquisition module configured to acquire user features of all third users in the first region within a predetermined time period.
  • the location acquisition module specifically includes: a quantity acquisition sub-module, configured to acquire a plurality of second areas in which the third user in the first area is registered in the predetermined application within the predetermined time period, and each of the third users is in the second The number of times the application is logged in the area; the location acquisition sub-module is used to use the second area where the third user logs in to the application as the location of the third user.
  • a quantity acquisition sub-module configured to acquire a plurality of second areas in which the third user in the first area is registered in the predetermined application within the predetermined time period, and each of the third users is in the second The number of times the application is logged in the area; the location acquisition sub-module is used to use the second area where the third user logs in to the application as the location of the third user.
  • the user feature acquisition module specifically includes: a network information acquisition sub-module, configured to acquire network information of a third user in the first area; and a user feature determination sub-module, configured to determine user characteristics of each third user according to the network information .
  • the user quantity determining module specifically includes: a user determining submodule, configured to determine a third user located in each second area; a user quantity determining submodule, configured to filter the target from the third user A second user of the user feature and counts the number of the second user.
  • the candidate region determining module specifically includes: a first index value determining submodule, configured to determine an index value of the target user feature in each second region according to the second number of users; and an index value sorting submodule configured to use the index value pair The plurality of second regions are sorted; the candidate region determining submodule is configured to use the second region of the first M bits as the candidate region, and the M is a predetermined value.
  • the target user feature is a plurality of
  • the user quantity determining module is configured to determine a plurality of second users having the respective target user features in each second area
  • X1, X2, X3... are index values of the characteristics of each target user
  • a, b , c... is the weight of each target user's characteristics
  • composite index A value sorting sub-module for sorting a plurality of second regions based on the composite index value.
  • the location information providing apparatus in the embodiment of the present application, after receiving the keyword input by the user including the target user feature, the number of users having the target user feature in each second region can be determined according to the location of the user in the target area. And further determining the candidate area according to the number of users having the target user feature, and finally providing the candidate area to the user, thereby enabling the user to intuitively understand the distribution of the target users in each of the second areas, thereby avoiding the dependence on the prior art.
  • the problem of low accuracy caused by the scope, quantity and honesty of the survey population improves the accuracy of the location information provided to the user.
  • FIG. 3 is a flowchart of a location information providing method according to Embodiment 3 of the present application.
  • the location information providing method according to Embodiment 3 of the present application includes the following steps:
  • the user selects a target population feature, that is, a user label, and the user label may include a day or night label according to the user's needs, or may not include day and night labels;
  • the location information providing method in the embodiment of the present application after receiving the keyword input by the user including the target user feature, the number of users having the target user feature in each second region can be determined according to the location of the user in the target region. And further sorting the second area according to the number of users having the target user characteristics, and finally providing the sorting result of the plurality of second areas to the user, thereby enabling the user to intuitively understand the distribution of the target users in each second area, The problem of low accuracy caused by the scope, quantity and honesty of the questionnaire population in the prior art is avoided, and the accuracy of the location information provided to the user is improved.
  • the specific implementation process of the location information providing method in the embodiment of the present application will be exemplified by using Alipay as a predetermined application.
  • the location information providing method according to Embodiment 4 of the present application includes:
  • S402. Collect, by the user's mobile device, the latitude and longitude of the user.
  • S410 respectively counting the number of times that each Alipay user appears on each area ID during the day, the number of times the night appears on each area ID, and the total number of times each Alipay user appears on each area ID;
  • the user selects a target population characteristic, that is, a user label
  • S420 sorting each area according to cnt from small to large, and assigning a sequence number from 1 to N. For example, if the number of users is greater than 100, the number is from 1 to 50.
  • serial number value (each second area serial number / total number of second area -0.5) * 2;
  • index value round ((ASIN (serial value) / ⁇ + 0.5) * 1000);
  • the location information providing method in the embodiment of the present application after receiving the keyword input by the user including the target user feature, the number of users having the target user feature in each second region can be determined according to the location of the user in the target region. And further sorting the second area according to the number of users having the target user characteristics, and finally providing the sorting result of the plurality of second areas to the user, thereby enabling the user to intuitively understand the distribution of the target users in each second area, The problem of low accuracy caused by the scope, quantity and honesty of the questionnaire population in the prior art is avoided, and the accuracy of the location information provided to the user is improved.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware.
  • the application can be implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) in which computer usable program code is embodied.
  • the form of a computer program product includes but not limited to disk storage, CD-ROM, optical storage, etc.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

Abstract

提供了一种位置信息提供方法及装置，该方法包括：服务器接收第一用户输入的关键词（S102）；根据关键词确定目标用户特征（S103）；确定第一区域，第一区域中包括多个第二区域（S104）；根据第一区域内的用户的位置信息确定各第二区域内具有目标用户特征的第二用户数量（S106）；根据第二用户数量从多个第二区域中确定候选区域（S108）；将候选区域提供给第一用户（S110）。采用该方法，能够提高提供给用户的位置信息的准确度。

Description

位置信息提供方法及装置
本申请要求2015年6月12日递交的申请号为201510323607.8、发明名称为“位置信息提供方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及定位技术，特别涉及一种位置信息提供方法及装置。
背景技术
空间选址，是指在一定地理区域内为一个或多个选址对象选定位置，使某一指标或综合指标达到最优的过程。
现有技术中在进行空间选址时，通常是采用问卷调查的方式了解人群在某几个区域内的情况，然后再对问卷调查进行分析，根据分析结果向用户提供相应的位置信息，以帮助用户进行选址决策。
采用现有的位置信息提供方法，受限于问卷调查人群的范围、数量及诚实度，不够准确。
发明内容
本申请实施例中提供了一种位置信息提供方法及装置，用于解决现有技术中的向用户提供的位置信息不够准确的问题。
根据本申请实施例的一个方面，提供了一种位置信息提供方法，包括：服务器接收第一用户输入的关键词；根据关键词确定目标用户特征；确定第一区域，第一区域中包括多个第二区域；根据第一区域内的用户的位置信息确定各第二区域内具有目标用户特征的第二用户数量；根据第二用户数量从多个第二区域中确定候选区域；将候选区域提供给第一用户。
根据本申请实施例的另一个方面，提供了一种位置信息提供装置，应用于服务器，包括：接收模块，用于接收第一用户输入的关键词；特征确定模块，用于根据关键词确定目标用户特征；第一区域确定模块，用于确定第一区域；用户数量确定模块，用于根据第一区域内的用户的位置信息确定各第二区域内具有目标用户特征的第二用户数量；候选区域确定模块，用于根据第二用户数量从多个第二区域中确定候选区域；结果反馈模块，用于将候选区域提供给第一用户。
采用本申请实施例中的位置信息提供方法及装置，由于根据目标区域内的用户的位置来确定各第二区域中具有目标用户特征的用户数量，并进一步根据具有目标用户特征的用户数量来从第二区域中确定候选区域，最终将候选区域提供给用户，从而能够让用户直观的了解各第二区域中的目标用户分布情况，避免了现有技术中依赖于问卷调查人群的范围、数量及诚实度导致的准确度低的问题，提高提供给用户的位置信息的准确度。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1为本申请实施例一所示位置信息提供方法流程图；
图2为本申请实施例二所示位置信息提供装置结构示意图；
图3是根据本申请实施例三的位置信息提供方法的流程图。
具体实施方式
为了使本申请实施例中的技术方案及优点更加清楚明白，以下结合附图对本申请的示例性实施例进行进一步详细的说明，显然，所描述的实施例仅是本申请的一部分实施例，而不是所有实施例的穷举。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
发明人在发明过程中发现，选址不仅要考虑地理上的位置、交通、环境等因素，更要考虑人的因素。
传统的企业选址由于数据采集瓶颈存在以下不足：
1、数据采集成本较高：问卷的线下调研花费较多的人力物力；
2、数据时效性不足及样本可能有偏：调研结果与最终选址时间较长，调研样本受人为因素影响也存在偏差的可能；
3、传统方案缺少对线上用户行为的考量：传统的空间选址考虑的人往往是静态的人，而现实世界的人是流动的人。人的生活圈随着24小时的变化而变化；随着互联网不断影响人们的生活，线上的行为数据也将影响着人们线下的行为，传统的空间选址无法考虑到用户的在互联网的线上行为。
上述缺陷导致最终的选址结果缺乏时效性，存在片面性。本申请针对以上不足，运用大数据技术降低数据采集成本、加强数据的时效性、整合用户线上线下行为，为商户 的选址提供新的思路与方案，可以对传统选址方式进行补充。本申请根据移动互联网用户线下的常用位置，结合用户的线上行为特征，运用大数据帮助企业用户解决选址问题。
本申请中提供了一种根据目标区域内的用户的位置和用户特征来向用户提供位置信息的方案，能够避免现有技术中的位置信息提供方案准确度低的问题，提高提供给用户的位置信息的准确度。
图1为本申请实施例一所示位置信息提供方法流程图。
如图1所示，根据本申请实施例一所示的位置信息提供方法包括以下步骤：
S102，服务器接收第一用户输入的关键词；
S103，根据关键词确定目标用户特征；
S104，确定第一区域，第一区域中包括多个第二区域；
S106，根据第一区域内的用户的位置信息确定各第二区域内具有所述目标用户特征的第二用户数量；
S108，根据第二用户数量从多个第二区域中确定候选区域；
S110，将候选区域提供给第一用户。
在本申请实施例中，第一用户可以是有空间选址需求的用户，第二用户可以是第二区域内具有目标用户特征的用户。
在具体实施时，服务器接收第一用户输入的关键词可以采用多种方式，如服务器接收来自客户端的位置信息请求消息，该请求消息中携带第一用户在客户端输入的关键词；或者，服务器直接接收第一用户通过服务器的输入输出设备输入的关键词，本申请对此不作限制。
在具体实施时，可以采用多种本领域的常用技术手段来接收用户输入的关键词，例如，第一用户可以直接在输入框中输入关键词，也可以通过在页面上向用户提供的选项进行选择等，本领域技术人员应当理解，上述接收第一用户输入的关键词的方式均用于示意的目的，并不用于限制本申请。
在具体实施时，根据关键词确定目标用户特征可以采用多种方式，如，如果用户输入的关键词与服务器中预先存储的目标用户特征一致，则可以直接确定目标用户特征，如果用户输入的关键词与服务器中预先存储的目标用户特征不一致，则可以根据关键词与目标用户特征的对应关系确定相应的目标用户特征，该对应关系可以是预先存储的，也可以是服务器从网络中自学习的得到的，本申请对此均不作限制。
在本申请实施例中，目标用户特征包括例如用户职业、年龄、消费水平、消费时段 等第一用户的目标用户的特征关键词，本领域技术人员应当理解，所有与人相关的特征均在本申请的保护范围之内。
在具体实施时，确定第一区域的方式可以是根据第一用户当前所处的位置信息确定，也可以根据第一用户输入的目标区域来确定，还可以采用向用户提供目标区域选项，再根据用户的选择确定第一区域的方式。例如，可以根据第一用户上网的IP地址确定第一用户处于北京市，则确定该第一区域是北京市；或者可以根据该第一用户登录的账户确定该第一用户的手机号，然后通过该号码接入移动网络的位置确定该第一用户当前位于杭州市，则确定该第一区域是杭州市；或者，用户输入“成都市”，则确定第一区域是成都市等。本领域技术人员应当理解，上述确定第一区域的方式均用于示意的目的，并不用于限制本申请。
为了使用于分析的数据更准确，通常会选取离目前最近的一段时间的数据作为分析基础。因此，在具体实施时，通常选取预定时段内的第一区域内的用户的位置来确定第二用户数量，该预定时段可以是例如，最近一个月、最近两个月、最近三个月等，可以根据具体需要或者是数据采集的具体情况来设定。
在具体实施时，可以通过第一区域内的用户接入的网络来获取第一区域内的用户的位置，也可以通过用户登录的应用来获取用户的位置，如用户登录的支付宝等。
在具体实施时，可以在接收第一用户输入的关键词之前，也可以是在确定第一区域后、确定第一区域内的各第二区域内具有目标用户特征的第二用户数量之前来实施确定第二区域的步骤，本申请对此不做限制。
在具体实施时，根据第二用户数量从多个第二区域中确定候选区域可以采用多种方式，例如，根据第二用户的数量对第二区域进行排序，将排序靠前的区域作为候选区域；或者，将第二用户的数量大于某一预定数值的第二区域作为候选区域等，本申请对此不作限制。
在具体实施时，将候选区域提供给第一用户可以采用多种提供方式，例如，可以将候选区域以文字的形式提供给用户，如：第一推荐区域：A区域；第二推荐区域：B区域……；也可以将候选区域以更直观的方式，如突出显示在地图上提供给用户，例如，第二用户数量越多的区域颜色越深，透明度越低，第二用户数量越少的区域颜色越淡，透明度越高等。本领域技术人员应当理解，所有能够将候选区域提供给用户的方式均在本申请的保护范围之内。
在具体实施时，还可以在将候选区域提供给第一用户之前，剔除用户进一步输入的 预排除的位置。例如，用户输入不需要关注的多个第二区域，那么在将候选区域提供给第一用户之前，在候选区域中排除这些用户不需要关注的第二区域，从而使得提供给用户的位置信息更加满足用户要求。
例如，某用户目前已经在北京的A地已有一家高档咖啡馆，想再开一家连锁店，此时该用户身处杭州，采用本申请实施例中提供的位置信息提供方法后，该用户选择“北京”作为第一区域；输入目标用户特征“白领”“高频中额”后，再输入预排除的A位置，并选择A的覆盖范围为以A为中心的2公里；经数据处理和排序后，确定了除A之外的B、C、D、E四个第二区域作为候选区域突出显示在北京的地图上返回给用户作为选址参考。
用本申请实施例中的位置信息提供方法，由于根据目标区域内的用户的位置来确定各第二区域中具有目标用户特征的用户数量，并进一步根据具有目标用户特征的用户数量来确定候选区域，最终将候选区域提供给用户，从而能够让用户直观的了解各第二区域中的目标用户分布情况，避免了现有技术中依赖于问卷调查人群的范围、数量及诚实度导致的准确度低的问题，提高提供给用户的位置信息的准确度。
优选地，在根据第一区域内的用户的位置信息确定各第二区域内具有目标用户特征的第二用户数量之前还包括：按照预定规则将第一区域划分为多个第二区域；获取预定时段内第一区域内的所有第三用户的位置；获取预定时段内第一区域内的所有第三用户的用户特征。
在具体实施时，按照预定规则将所述第一区域划分为多个第二区域，可以是按照预定的区域尺寸，如20米*20米来对第一区域进行划分，也可以先将采集到的用户位置转换成经纬度，再根据地理位置服务商的应用，如高德地图提供的接口，转换成相应第二区域的方式；还可以采用按照人口密度划分，例如，在人口密度较大的区域(如市中心等)，以较小的区域尺寸进行划分；在人口密度较小的区域(如郊区等)，以较小的区域尺寸进行划分等方式。本领域技术人员应当理解，上述仅是为示例的目的而示出，并不用于限制本申请。
在具体实施时，可以通过用户接入的网络来获取用户的位置，也可以通过用户登录的应用来获取用户的位置。
在具体实施时，本申请实施例中按照预定规则将第一区域划分为多个第二区域、获取预定时段内第一区域内的所有第三用户的位置、以及获取预定时段内第一区域内的所有第三用户的用户特征这三个步骤之间没有固定的步骤顺序，只要在确定第一区域内的 各第二区域内具有目标用户特征的第二用户数量步骤之前执行即可。
为了提升向用户提供位置信息的响应速度，可以在接收到用户输入的关键词之前，预先按照预定规则将第一区域划分为多个第二区域、获取预定时段内第一区域内的所有第三用户的位置、以及获取预定时段内第一区域内的所有第三用户的用户特征，以便于在后续接收到用户输入的包括第一区域和目标用户特征的关键词后，即可快速获取第二区域内具有目标用户特征的用户数量；并根据数量进行排序，最终快速向用户反馈位置信息，从而提升用户体验。
优选地，获取预定时段内第一区域内的第三用户的位置具体包括：获取预定时段内第一区域内的第三用户登录预定应用时所处的多个第二区域，以及各第三用户在各第二区域内登录应用的次数；将第三用户登录应用次数最多的第二区域作为该第三用户的位置。
各用户登录预定应用次数最多的区域，即该用户最近一段时间的生活圈，在具体实施时，如果第一用户输入的目标用户特征中还包含了对目标用户白天、晚上等更进一步的时段特征，那么在获取到用户在各区域内登录预定应用的次数时，还将进一步明确该用户在各区域登录预定应用的具体时段，以便后续确定用户在各区域内白天登录该应用的次数、用户晚上在各区域内登录该应用的次数以及用户登录在各区域内登录该应用的次数；最终将各用户登录次数最多的第二区域作为与该用户的位置；或者，将各用户白天登录次数最多的第二区域作为该用户白天的位置，将各用户晚上登录次数最多的第二区域作为该用户晚上的位置。
在具体实施时，该预定应用可以是任意的具有位置采集服务功能的应用，例如，支付宝、QQ、微博、微信等。本领域技术人员应当理解，上述仅是为示例的目的而示出，并不用于限制本申请。
在具体实施时，为确定第三用户在预定时段内登录预定应用的次数，需要确定第三用户与预定应用之间的对应关系，该对应关系可以通过各种本领域技术人员的常用手段确定，例如，用户登录该应用的ID与手机号的对应关系、用户登录该应用的IP地址与用户设备的IP地址的对应关系等。本领域技术人员应当理解，上述仅是为示例的目的而示出，并不用于限制本申请。
优选地，获取预定时段内第一区域内的所有第三用户的用户特征具体包括：获取第一区域内的第三用户的网络信息；根据网络信息确定各第三用户的用户特征。
在具体实施时，获取第三用户的用户特征可以通过以下多种方式：例如，通过用户 登录的预定应用的用户信息来确定，比如，根据即时通讯工具(例如QQ)中的用户信息确定用户的年龄、性别、生日等；根据用户常用的物流地址是大学/写字楼，从而判断用户的身份是大学生/白领；根据用户通过购物的频率和金额判断用户的消费特征是高频高额等。本领域技术人员应当理解，上述仅是为示例的目的而示出，并不用于限制本申请。
优选地，确定各第二区域内具有目标用户特征的第二用户数量具体包括：确定位置在各第二区域内的第三用户；从第三用户中筛选具有目标用户特征的第二用户，并统计第二用户的数量。
优选地，根据第二用户数量从多个第二区域中确定候选区域具体包括：根据第二用户数量确定各第二区域内目标用户特征的指数值；根据指数值对多个第二区域进行排序；将排序结果在前M位的第二区域作为候选区域，M为预定数值。
优选地，根据第二用户数量确定各第二区域内目标用户特征的指数值具体包括：按照第二用户数量从小到大对第二区域排序，并依次分配从1至N的序号，其中，N为大于1的正整数；通过下述公式确定各第二区域对应的序号值：序号值＝(各第二区域序号/第二区域总个数-0.5)*2；通过下述公式确定各第二区域对应的指数值：指数值＝round((ASIN(序号值)/π+0.5)*1000)。
为了避免统计失真，在按照第二用户数量从小到大对第二区域排序之前，还可以进一步剔除用户数量小于预定数值，例如100，的第二区域。
经过上述算法，具有指定用户特征的用户数量转化为[0-100]的指数，各指数所出现的次数近似的满足正态分布。
在具体实施时，也可以采用其他本领域技术人员的常用方法将用户数量转换为指数，本申请并不限制。
采用本申请实施例中的位置信息提供方法，将区块内满足标签条件的用户量转化成0-100的指数，可以在不影响区域中的第二用户数量排列顺序的前提下，规避敏感的用户量数据；同时，所有的具有指定用户特征的用户数量都转化成区块指数，能够降低运算量，避免对用户级别的数据进行运算，加快向用户提供位置信息的响应速度，提升了用户体验。
优选地，第一用户输入的目标用户特征为多个，确定各第二区域内具有目标用户特征的第二用户数量具体包括：确定各第二区域内具有该各个目标用户特征的多个第二用户数量；根据第二用户数量对多个第二区域进行排序具体包括：根据多个第二用户数量 分别确定各第二区域内各个目标用户特征的指数值；根据各目标用户特征的指数值及预先为各目标用户特征设置的权重，确定各第二区域的综合指数值：综合指数值＝a*X1+b*X2+c*X3…….；其中，X1，X2，X3……为各目标用户特征的指数值；a、b、c……为各目标用户特征的权重；根据综合指数值对多个第二区域进行排序。
在现实选址中，需要对各个方面做综合的考量，区域人群密度、区域年龄、区域性别、区域某产品渗透率等。
在具体实施时，该预先设置的权重可以是由第一用户设置的，也可以采用默认的权重，如，各用户特征采用平均权重，或者对各用户特征采用经验值权重；上述实施方式均在本申请的保护范围之内，本申请对此不做限制。
采用本申请实施例中的位置信息提供方法，在接收到用户输入的包括目标用户特征的关键词后，能够根据目标区域内的用户的位置来确定各第二区域中具有目标用户特征的用户数量，并进一步根据具有目标用户特征的用户数量确定候选区域，最终将候选区域提供给用户，从而能够让用户直观的了解各第二区域中的目标用户分布情况，避免了现有技术中依赖于问卷调查人群的范围、数量及诚实度导致的准确度低的问题，提高提供给用户的位置信息的准确度。
基于同一发明构思，本申请实施例中还提供了一种位置信息提供装置，由于该装置解决问题的原理与位置信息提供方法相似，因此该装置的实施可以参见方法的实施，重复之处不再赘述。
图2为本申请实施例二所示位置信息提供装置结构示意图。
如图2所示，根据本申请实施例二所示的应用于服务器的位置信息提供装置200包括以下模块：接收模块202，用于接收第一用户输入的关键词；特征确定模块203，用于根据关键词确定目标用户特征；第一区域确定模块204，用于确定第一区域，该第一区域中包括多个第二区域；用户数量确定模块206，用于根据第一区域内的用户的位置信息确定各第二区域内具有目标用户特征的第二用户数量；候选区域确定模块208，用于根据第二用户数量从多个第二区域中确定候选区域；结果反馈模块210，用于将候选区域提供给第一用户。
在具体实施时，该接收模块202和结果反馈模块210通常位于客户端，第一区域确定模块204可位于客户端，也可位于服务端，用户数量确定模块206和候选区域确定模块208通常位于服务端，但应当理解，上述实施方式只为便于本领域技术人员实施的目 的示出，并不用于限制本申请。
优选地，该位置信息提供装置200还包括：区块划分模块，用于按照预定规则将第一区域划分为多个第二区域；位置获取模块，用于获取预定时段内所述第一区域内的所有第三用户的位置；用户特征获取模块，用于获取预定时段内第一区域内的所有第三用户的用户特征。
优选地，位置获取模块具体包括：次数获取子模块，用于获取预定时段内第一区域内的第三用户登录预定应用时所处的多个第二区域，以及各第三用户在各第二区域内登录应用的次数；位置获取子模块，用于将第三用户登录应用次数最多的第二区域作为该第三用户的位置。
优选地，用户特征获取模块具体包括：网络信息获取子模块，用于获取第一区域内的第三用户的网络信息；用户特征确定子模块，用于根据网络信息确定各第三用户的用户特征。
优选地，用户数量确定模块具体包括：用户确定子模块，用于确定位置在各第二区域内的第三用户；用户数量确定子模块，用于从所述第三用户中筛选具有所述目标用户特征的第二用户，并统计所述第二用户的数量。
优选地，候选区域确定模块具体包括：第一指数值确定子模块，用于根据第二用户数量确定各第二区域内目标用户特征的指数值；指数值排序子模块，用于根据指数值对多个第二区域进行排序；候选区域确定子模块，用于将排序结果在前M位的第二区域作为候选区域，所述M为预定数值。
优选地，第一指数值确定子模块具体包括：排序单元，用于按照第二用户数量从小到大对第二区域排序，并依次分配从1至N的序号，其中，N为大于1的正整数；序号值确定单元，用于通过下述公式确定各第二区域对应的序号值：序号值＝(各第二区域序号/第二区域总个数-0.5)*2；指数值确定单元，用于通过下述公式确定各第二区域对应的指数值：指数值＝round((ASIN(序号值)/π+0.5)*1000)。
优选地，目标用户特征为多个，用户数量确定模块用于确定各第二区域内具有该各个目标用户特征的多个第二用户数量；排序模块具体包括：第二指数确定子模块，用于根据多个第二用户数量分别确定各第二区域内各个目标用户特征的指数值；综合指数值确定子模块，用于根据各目标用户特征的指数值及预先为各目标用户特征设置的权重，确定各第二区域的综合指数值：综合指数值＝a*X1+b*X2+c*X3…….；其中，X1，X2，X3……为各目标用户特征的指数值；a、b、c……为各目标用户特征的权重；综合指数 值排序子模块，用于根据综合指数值对多个第二区域进行排序。
为了描述的方便，以上所述装置的各部分以功能分为各种部件或单元分别描述。当然，在实施本申请时可以把各部件或单元的功能在同一个或多个软件或硬件中实现。
采用本申请实施例中的位置信息提供装置，在接收到用户输入的包括目标用户特征的关键词后，能够根据目标区域内的用户的位置来确定各第二区域中具有目标用户特征的用户数量，并进一步根据具有目标用户特征的用户数量来确定候选区域，最终将候选区域提供给用户，从而能够让用户直观的了解各第二区域中的目标用户分布情况，避免了现有技术中依赖于问卷调查人群的范围、数量及诚实度导致的准确度低的问题，提高提供给用户的位置信息的准确度。
图3是根据本申请实施例三的位置信息提供方法的流程图。
如图3所示，根据本申请实施例三的位置信息提供方法包括以下步骤：
S302，统计人群最近30天最常出现的位置；
S304，根据该位置和对应区块确定人群中各用户线下常用位置；
S306，选址用户输入目标人群特征，即用户标签，该用户标签根据用户的需求，可以包括白天或夜晚标签，也可不包括白天和夜晚标签；
S308，统计各区块各类标签的用户量；
S310，将区块数据转化为区块指数；
S312，设定各指数的权重；
S314，获得各区块的综合指数；
S316，选择综合指数最大的几个区块作为备选位置提供给选址用户。
采用本申请实施例中的位置信息提供方法，在接收到用户输入的包括目标用户特征的关键词后，能够根据目标区域内的用户的位置来确定各第二区域中具有目标用户特征的用户数量，并进一步根据具有目标用户特征的用户数量来对第二区域排序，最终将多个第二区域的排序结果提供给用户，从而能够让用户直观的了解各第二区域中的目标用户分布情况，避免了现有技术中依赖于问卷调查人群的范围、数量及诚实度导致的准确度低的问题，提高提供给用户的位置信息的准确度。
下面将以支付宝作为预定应用来举例说明本申请实施例中的位置信息提供方法的具体实施过程。根据本申请实施例四的位置信息提供方法包括：
S402，通过用户的移动设备搜集用户的经纬度；
S404，获取用户移动设备与支付宝用户ID的对应关系；
S406，将经纬度数据根据高德地图提供的接口，转换成区块ID，并获取支付宝用户ID与区块ID的对应关系；
S408，统计各支付宝用户最近30天各时段在各区域ID上出现的次数；
S410，分别统计各支付宝用户白天在各区域ID上出现的次数、夜晚在各区域ID上出现的次数、以及各支付宝用户在各区域ID上出现的总次数；
S412，取各支付宝用户出现次数最多的区域，即分别为该支付宝用户的白天区域ID、夜晚区域ID和常用区域ID。
S414，选址用户输入目标人群特征，即用户标签；
S416，统计各区域中满足该用户标签条件的用户量cnt；
S418，判断各区域中满足该用户标签条件的用户量是否均大于100，如果否，则剔除该用户量小于100的区域；如果是，则继续执行S420；
S420，将各区域按cnt从小到大排序，并分配从1至N的序号，例如，用户量大于100的区域为50个，则分配从1至50的序号；
S422，计算各区域的序号值，该序号值＝(各第二区域序号/第二区域总个数-0.5)*2；
S424，计算各区域的指数值，该指数值＝round((ASIN(序号值)/π+0.5)*1000)；
S426，根据该指数值，在地图上显示指数的区域渲染图。
采用本申请实施例中的位置信息提供方法，在接收到用户输入的包括目标用户特征的关键词后，能够根据目标区域内的用户的位置来确定各第二区域中具有目标用户特征的用户数量，并进一步根据具有目标用户特征的用户数量来对第二区域排序，最终将多个第二区域的排序结果提供给用户，从而能够让用户直观的了解各第二区域中的目标用户分布情况，避免了现有技术中依赖于问卷调查人群的范围、数量及诚实度导致的准确度低的问题，提高提供给用户的位置信息的准确度。
本领域内的技术人员应明白，本申请的实施例可提供为方法、系统、或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的 计算机程序产品的形式。
本申请是参照根据本申请实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
尽管已描述了本申请的优选实施例，但本领域内的技术人员一旦得知了基本创造性概念，则可对这些实施例作出另外的变更和修改。所以，所附权利要求意欲解释为包括优选实施例以及落入本申请范围的所有变更和修改。
显然，本领域的技术人员可以对本申请进行各种改动和变型而不脱离本申请的精神和范围。这样，倘若本申请的这些修改和变型属于本申请权利要求及其等同技术的范围之内，则本申请也意图包含这些改动和变型在内。

Claims (16)

  1. 一种位置信息提供方法，其特征在于，包括：
    服务器接收第一用户输入的关键词；
    根据所述关键词确定目标用户特征；
    确定第一区域，所述第一区域中包括多个第二区域；
    根据所述第一区域内的用户的位置信息确定各第二区域内具有所述目标用户特征的第二用户数量；
    根据所述第二用户数量从所述多个第二区域中确定候选区域；
    将所述候选区域提供给所述第一用户。
  2. 根据权利要求1所述的方法，其特征在于，在根据所述第一区域内的用户的位置信息确定各第二区域内具有所述目标用户特征的第二用户数量之前还包括：
    按照预定规则将所述第一区域划分为多个第二区域；
    获取预定时段内所述第一区域内的所有第三用户的位置；
    获取预定时段内所述第一区域内的所有第三用户的用户特征。
  3. 根据权利要求2所述的方法，其特征在于，获取预定时段内所述第一区域内的第三用户的位置具体包括：
    获取预定时段内所述第一区域内的所述第三用户登录预定应用时所处的多个第二区域，以及各第三用户在各第二区域内登录所述应用的次数；
    将第三用户登录所述应用次数最多的第二区域作为该第三用户的位置。
  4. 根据权利要求2所述的方法，其特征在于，获取预定时段内所述第一区域内的所有第三用户的用户特征具体包括：
    获取所述第一区域内的所述第三用户的网络信息；
    根据所述网络信息确定各第三用户的用户特征。
  5. 根据权利要求4所述的方法，其特征在于，确定各第二区域内具有所述目标用户特征的第二用户数量具体包括：
    确定位置在各第二区域内的第三用户；
    从所述第三用户中筛选具有所述目标用户特征的第二用户，并统计所述第二用户的数量。
  6. 根据权利要求1所述的方法，其特征在于，根据所述第二用户数量从所述多个第二区域中确定候选区域具体包括：
    根据所述第二用户数量确定各第二区域内所述目标用户特征的指数值；
    根据所述指数值对所述多个第二区域进行排序；
    将排序结果在前M位的第二区域作为候选区域，所述M为预定数值。
  7. 根据权利要求6所述的方法，其特征在于，根据所述第二用户数量确定各第二区域内所述目标用户特征的指数值具体包括：
    按照第二用户数量从小到大对所述第二区域排序，并依次分配从1至N的序号，其中，所述N为大于1的正整数；
    通过下述公式确定各第二区域对应的序号值：序号值＝(各第二区域序号/第二区域总个数-0.5)*2；
    通过下述公式确定各第二区域对应的指数值：指数值＝round((ASIN(序号值)/π+0.5)*1000)。
  8. 根据权利要求1所述的方法，其特征在于，所述目标用户特征为多个，
    确定各第二区域内具有所述目标用户特征的第二用户数量具体包括：确定各第二区域内具有该各个目标用户特征的多个第二用户数量；
    根据所述第二用户数量对所述多个第二区域进行排序具体包括：根据所述多个第二用户数量分别确定各第二区域内各个目标用户特征的指数值；
    根据各目标用户特征的指数值及预先为各目标用户特征设置的权重，确定各第二区域的综合指数值：综合指数值＝a*X1+b*X2+c*X3…….；其中，X1，X2，X3……为各目标用户特征的指数值；a、b、c……为各目标用户特征的权重；
    根据所述综合指数值对所述多个第二区域进行排序。
  9. 一种位置信息提供装置，应用于服务器，其特征在于，包括：
    接收模块，用于接收第一用户输入的关键词；
    特征确定模块，用于根据所述关键词确定目标用户特征；
    第一区域确定模块，用于确定第一区域，所述第一区域中包括多个第二区域；
    用户数量确定模块，用于根据所述第一区域内的用户的位置信息确定各第二区域内具有所述目标用户特征的第二用户数量；
    候选区域确定模块，用于根据所述第二用户数量从所述多个第二区域中确定候选区域；
    结果反馈模块，用于将所述候选区域提供给所述第一用户。
  10. 根据权利要求9所述的装置，其特征在于，还包括：
    区块划分模块，用于按照预定规则将所述第一区域划分为多个第二区域；
    位置获取模块，用于获取预定时段内所述第一区域内的所有第三用户的位置；
    用户特征获取模块，用于获取预定时段内所述第一区域内的所有第三用户的用户特征。
  11. 根据权利要求10所述的装置，其特征在于，所述位置获取模块具体包括：
    次数获取子模块，用于获取预定时段内所述第一区域内的所述第三用户登录预定应用时所处的多个第二区域，以及各第三用户在各第二区域内登录所述应用的次数；
    位置获取子模块，用于将第三用户登录所述应用次数最多的第二区域作为该第三用户的位置。
  12. 根据权利要求10所述的装置，其特征在于，所述用户特征获取模块具体包括：
    网络信息获取子模块，用于获取所述第一区域内的所述第三用户的网络信息；
    用户特征确定子模块，用于根据所述网络信息确定各第三用户的用户特征。
  13. 根据权利要求12所述的装置，其特征在于，所述用户数量确定模块具体包括：
    用户确定子模块，用于确定位置在各第二区域内的第三用户；
    用户数量确定子模块，用于从所述第三用户中筛选具有所述目标用户特征的第二用户，并统计所述第二用户的数量。
  14. 根据权利要求9所述的装置，其特征在于，所述候选区域确定模块具体包括：
    第一指数值确定子模块，用于根据所述第二用户数量确定各第二区域内所述目标用户特征的指数值；
    指数值排序子模块，用于根据所述指数值对所述多个第二区域进行排序；
    候选区域确定子模块，用于将排序结果在前M位的第二区域作为候选区域，所述M为预定数值。
  15. 根据权利要求14所述的装置，其特征在于，所述第一指数值确定子模块具体包括：
    排序单元，用于按照第二用户数量从小到大对所述第二区域排序，并依次分配从1至N的序号，其中，所述N为大于1的正整数；
    序号值确定单元，用于通过下述公式确定各第二区域对应的序号值：序号值＝(各第二区域序号/第二区域总个数-0.5)*2；
    指数值确定单元，用于通过下述公式确定各第二区域对应的指数值：指数值＝round((ASIN(序号值)/π+0.5)*1000)。
  16. 根据权利要求9所述的装置，其特征在于，所述目标用户特征为多个，所述用户数量确定模块用于确定各第二区域内具有该各个目标用户特征的多个第二用户数量；
    所述排序模块具体包括：
    第二指数确定子模块，用于根据所述多个第二用户数量分别确定各第二区域内各个目标用户特征的指数值；
    综合指数值确定子模块，用于根据各目标用户特征的指数值及预先为各目标用户特征设置的权重，确定各第二区域的综合指数值：综合指数值＝a*X1+b*X2+c*X3…….；其中，X1，X2，X3……为各目标用户特征的指数值；a、b、c……为各目标用户特征的权重；
    综合指数值排序子模块，用于根据所述综合指数值对所述多个第二区域进行排序。
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