WO2017157184A1 - 一种确定地理位置的属性信息的方法及装置 - Google Patents

一种确定地理位置的属性信息的方法及装置 Download PDF

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Publication number
WO2017157184A1
WO2017157184A1 PCT/CN2017/075518 CN2017075518W WO2017157184A1 WO 2017157184 A1 WO2017157184 A1 WO 2017157184A1 CN 2017075518 W CN2017075518 W CN 2017075518W WO 2017157184 A1 WO2017157184 A1 WO 2017157184A1
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information
geographic location
geographic
feature
location
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Ceased
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PCT/CN2017/075518
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English (en)
French (fr)
Inventor
张奇
沈栋
许亦男
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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Priority to KR1020187029722A priority Critical patent/KR102240545B1/ko
Priority to MYPI2018703291A priority patent/MY200455A/en
Priority to SG11201807968TA priority patent/SG11201807968TA/en
Priority to JP2018549249A priority patent/JP6937776B2/ja
Priority to PH1/2018/501987A priority patent/PH12018501987B1/en
Publication of WO2017157184A1 publication Critical patent/WO2017157184A1/zh
Priority to US16/131,540 priority patent/US11449530B2/en
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/951—Indexing; Web crawling techniques

Definitions

  • the present invention relates to the field of computer technologies, and in particular, to a method and apparatus for determining attribute information of a geographic location.
  • the map navigation software provides a traffic density map, and marks different colors in different areas such as dense population and sparseness, and the user can determine whether the crowd is dense according to the density map.
  • the density map can only display the number of people, but can not provide other attribute information of the geographical location, such as prosperity, diet intensity, entertainment intensity and the like. If the user wants to obtain other attribute information of the area, it also needs to query other information, and the operation steps are numerous for the user, and the convenience is lacking.
  • the embodiment of the present invention provides a method and a device for determining attribute information of a geographic location, which are used to solve the problem that the user has low operation convenience when acquiring attribute information of a geographical location in the prior art.
  • the attribute information of the geographical location is determined according to at least one of the geographic feature, the behavior feature, and the demographic feature.
  • a first obtaining module configured to acquire geographic features of the geographic location from the navigation server
  • a second acquiring module configured to acquire behavior characteristics and demographic characteristics of the geographic location according to pre-saved historical data
  • a determining module configured to determine attribute information of the geographic location according to at least one of the geographic feature, the behavior feature, and the demographic feature.
  • the present application provides a method for determining attribute information of a geographic location, obtaining a geographic feature of a geographic location from a navigation server, and determining behavioral characteristics and demographic characteristics of the geographic location according to the pre-stored historical data, according to the geographic feature, At least one of a behavioral feature and a demographic characteristic determines attribute information of the geographic location. It can be seen that, after the user inputs the geographic location, the attribute information of the geographical location can be directly obtained without querying the information of the geographical location again, thereby effectively improving the convenience of the user operation during the geographic location query.
  • FIG. 1 is a process of determining attribute information of determining a geographic location according to an embodiment of the present application
  • FIG. 2 is a schematic structural diagram of determining apparatus for determining attribute information of a geographic location according to an embodiment of the present application.
  • FIG. 1 is a process for determining attribute information of a geographic location according to an embodiment of the present application, where the process specifically includes the following steps:
  • S101 Obtain a geographic feature of a geographic location from a navigation server.
  • the user may first input the name of the geographical location to the server or the terminal, and the server or the terminal may acquire the geographical feature of the geographical location.
  • the geographic feature may include geographic features such as latitude and longitude, altitude, and the like of the geographic location.
  • the server can also acquire the geographical features of the geographic location from the navigation server that provides the navigation service.
  • S102 Determine behavior characteristics and demographic characteristics of the geographic location according to pre-saved historical data.
  • determining attribute information of a geographic location also needs to be based on behavioral characteristics and demographic characteristics of the population in the geographic location.
  • the behavioral characteristics refer to various behavioral habit characteristics of the people in the geographical location, such as the amount of consumption of the group in the geographical location, usually in a dining place or an entertainment place.
  • Demographic characteristics refer to the characteristics of the population in the geographical location, such as gender distribution and age distribution.
  • S103 Determine attribute information of the geographic location according to at least one of the geographic feature, the behavior feature, and the demographic feature.
  • the attribute information of the geographic location may be determined based on at least one of the three.
  • the specified algorithm model may be trained in advance for the above three features and the attribute information to be determined.
  • the three features may be directly input into the pre-trained algorithm model to obtain the output. Property information for the geographic location.
  • the geographic feature, the behavioral feature, and the demographic feature of the geographic location may be separately scored, and the score may be compared by the server or the terminal with the corresponding three features of the other geographic locations, and according to a certain The rules rank these geographic locations, and finally score according to the rankings.
  • the above three characteristics of the geographic location can also be presented by the server or terminal, and the staff will score themselves according to the three characteristics.
  • the weights corresponding to the three features can be determined, and then weighted according to the scores and weights of each feature, and the weighted sum is the geography.
  • the attribute value of the location based on which the attribute information of the geographic location is determined.
  • the weight of each of the above features may be determined by at least the completeness, the trueness and the importance of the feature, and the weight of each feature is determined by the completeness weight, the trueness weight and the importance weight of the feature.
  • the attribute information of the geographical location can be directly obtained by querying the attribute information of the geographical location by other means, thereby effectively improving the convenience of the user operation during the geographical location query.
  • the following takes the attribute information of the geographical location as the commercial value as an example to illustrate the detailed determination process of the commercial value of the geographical location.
  • the server for determining and providing the business value of the geographic location may first obtain, from the navigation server, the number of times of historically querying the geographic location, the population quantity distribution information of the geographic location, and the basic geographic location of the geographic location. At least one of the information and the category information to which the geographical location belongs is a geographic feature.
  • the payment server acquires online information and offline information as behavioral characteristics.
  • the online information includes, but is not limited to, historical payment information generated in the geographical location.
  • the offline information includes, but is not limited to, offline transaction information historically occurring at the geographic location and evaluation information for the geographic location.
  • At least one of the consumption characteristic information and the age distribution information of the user on the geographical location is acquired as the demographic feature on the payment server.
  • the geographic feature may also include the geographic location.
  • User's gender distribution, occupational distribution and other information may be included, as long as the navigation server and the payment server can collect statistical information, for example, the geographic feature may also include the geographic location.
  • the behavior characteristics as shown in Table 1 can be obtained by statistical data in the payment server. Specifically, when the payment information of the geographical location occurs in the statistical history, the saved information in the payment server can be obtained. In the geographical location of the water, electricity, coal payment log, according to the amount of payment, usage, payment time, etc. recorded in each log, the average payment amount, average usage and usage of electricity and coal in the specified period are counted. And trough time.
  • the bank's transfer record can be obtained through the payment server, and the average transfer transaction amount in the geographical location within the specified period is determined according to the transfer record.
  • the evaluation information is statistically obtained, the scores of the users in the geographical location saved in the payment server for each indicator (for example, whether the parking is convenient or the like) may be obtained, and the average score of each indicator is counted.
  • At least one user whose location is the geographic location may be determined as the user in the geographical location according to the corresponding recipient address of the account of each user saved in the payment server.
  • the age distribution information of these users is counted, the age distribution of the users in the geographical location may be counted according to the age of the users recorded in the accounts of the users saved in the payment server. For example, four age groups may be preset: 0- 10 years old, 10-20 years old, 20-50 years old, 50-70 years old, etc., count the number of users in each age group, and calculate the percentage of total users in each age range.
  • the total amount of consumption, the total number of consumptions, and the total number of consumptions of each user in the period may be counted according to the transaction record of each user saved in the payment server in the specified period.
  • the number of times the product is consumed, according to the number of times each user consumes each type of product, the distribution of the user's consumption on various products is counted.
  • the users in the geographical location can be divided into the resident population characteristics and the non-resident population characteristics, and the two types of users are separately counted.
  • each transaction record of the user saved in the payment server can be obtained, and it is determined whether the included delivery address is the number of transactions or the percentage of the transaction record of the geographical location exceeds the pre-predetermined A threshold is set, and if so, the user is determined to be the resident population of the geographic location; otherwise, the user is determined to be the non-resident population of the geographic location.
  • the attribute information of the geographic location may be determined according to at least one of a geographic feature, a behavioral feature, and a demographic feature.
  • the specific process is as follows:
  • each piece of information included in each feature as shown in Table 1 is scored, and the range of the interval may be preset for each piece of information, and different range ranges correspond to different scores.
  • the residential area score in the geographical feature is lower than that in the commercial area, because the commercial area has more restaurants, entertainment places, shopping malls, etc., which is a gathering area for crowd consumption, and residents The district is only a crowded residential area. The ratio of consumption and consumption frequency is far lower than that of the commercial district. Therefore, when determining the category information of the geographical location, the score of the commercial district is higher than that of the residential district.
  • the age characteristics of the population are similar in the demographic characteristics. As shown in Table 3, the age distribution is 0-10 years old, and the economic independence is completely dependent on the parents. Therefore, the consumption power is very low, and the population aged 10-20 Mainly for middle school students, because parents give a small amount of pocket money, they have a little spending power. Most people in the 20-50 age group have jobs and have a fixed source of income, so they have higher spending power. The 50-70 year olds rely on Children's support and retirement life, this age group of people is also more frugal, so the ability to consume is general. Therefore, the consumption power of these four age groups is ranked from high to low: 20-50 years old, 50-70 years old, 10-20 years old, 0-10 years old. Therefore, the scores of consumption ability of these four age groups are also Decrease the trend.
  • the weights of the information respectively included in the geographic feature, the behavioral feature, and the demographic feature are determined. Specifically, for any information included in the geographic feature, the behavior feature, and the demographic feature, the authenticity and completeness of the information are determined, and the weight of the information is determined according to the authenticity and completeness of the information.
  • the step of determining the trueness can be performed only for geographic features, and can be considered true for behavioral features and demographic characteristics. Therefore, when determining the authenticity of a geographic feature, the geographic feature and the behavioral feature can be compared to determine the authenticity of each piece of information in the geographic feature.
  • the data acquired by the navigation server indicates that the geographic location A is a restaurant, but after analyzing the evaluation information or the consumption characteristic information of the geographic location A (eg, Extracting keywords in the evaluation information, or determining the consumer product category with the largest probability distribution in the "consumer product category distribution" in the consumption feature, and determining that the geographic location A is actually a movie theater, then determining the category information of the geographic location A in the geographic feature
  • the realism of the message is very low, so the true weight of the information is low, even 0.
  • the method for quantifying the realism may be: picking up keywords in the geographical feature A geographic feature and the geographic location A behavioral features, such as: geographic feature keywords have taste, serving speed, clean, etc., behavior characteristics
  • the key words are audio and video, seat, fare, etc.
  • the similarity calculation can be performed according to the natural language similarity judgment algorithm. The higher the similarity, the higher the trueness of the geographical feature, and the lower the similarity, the trueness of the geographical feature. The lower. In short, for any one of the features, the higher the truth of the information, the higher the true weight, and vice versa, the lower the true weight.
  • the completeness it can be determined by comparing the estimated amount of data with the amount of data actually acquired. For example, it is necessary to calculate the monthly average consumption amount of 1000 people on the geographic location A to determine the population consumption capacity on the geographic location A, that is, the estimated data volume is 1000, but only the monthly average consumption amount of 700 people can be obtained from the payment server. That is, the actual amount of data acquired is 700, and the completeness of the information can be obtained according to the range of the interval in which the determination information is complete or not as shown in Table 4.
  • the information of the average monthly consumption amount of the crowd is relatively complete, and the corresponding weight value is 0.7.
  • the importance of the information will also determine the weight of the information. For example, for a restaurant, a person has a large flow of traffic at noon and evening meals, and the monthly average transaction volume is large. Evaluation of the location that is convenient for parking will have greater commercial value, then the population distribution information of the population on the geographical location A at different times of the day, the information of the amount of offline transaction flow, and the evaluation information of the advantages and disadvantages of the population to the geographical location A Letter
  • the importance of interest is more important than the importance weight of geographic, behavioral, and other information contained in demographics.
  • the importance weight of the information can be set by the person according to the demand.
  • the obtained scores are weighted and calculated, and the attribute information of the geographical location is determined and provided.
  • Each information score is multiplied by the completeness weight, the trueness weight, and the importance weight, and then the sum of all information weighted scores is the commercial value of the geographic location.
  • the commercial value of the output geographic location A can be provided to the navigation server, so that the navigation server provides the user with the commercial value of the geographical location A on the electronic map, and the different colors are marked on the map according to the level of the commercial value. Determine the scope of the city's business district.
  • the commercial value of the output is provided to the credit service platform, so that the credit service platform judges whether the geographic location A has the ability to repay the loan according to the commercial value of the geographic location A, and conducts the loan business.
  • the above method for determining the attribute information of the geographical location may be implemented by the payment server, or the other server may retrieve the geographic feature from the navigation server, and retrieve the behavior feature and the demographic feature from the payment server, and then perform weighted calculation to finally determine the geographic location. Attribute information.
  • the method shown in FIG. 1 provided by the present application may also determine other attribute information of the geographic location, such as entertainment intensive. Degree or catering intensity, etc.
  • attribute information of the geographic location such as entertainment intensive. Degree or catering intensity, etc.
  • the intensity of food and beverage the specific information contained in geographic, behavioral, and demographic characteristics will vary.
  • the geographical features of the geographic location B may include: the degree of traffic congestion of the area at the meal time, the distance information of the area from the nearby business circle, the area information of the area, the The number of regional restaurants, the behavioral characteristics of location B include: the average monthly purchase of vegetables, meat, seafood, etc.
  • the demographic characteristics of geographic location B include: occupations, gender ratios, and age distributions of nearby populations.
  • the device further provides a corresponding device for determining the attribute information of the geographical location, as shown in FIG. 2 .
  • FIG. 2 is a schematic structural diagram of an apparatus for determining attribute information of a geographic location according to an embodiment of the present disclosure, specifically including:
  • a first obtaining module 201 configured to acquire a geographic feature of a geographic location from a navigation server
  • the second obtaining module 202 is configured to acquire behavior characteristics and demographic characteristics of the geographic location according to historical data saved in advance;
  • the determining module 203 is configured to determine attribute information of the geographic location according to at least one of the geographic feature, the behavior feature, and the demographic feature.
  • the attribute information of the geographic location includes: a commercial value of the geographic location.
  • the geographic feature includes: at least one of historically querying the number of times of the geographic location, population distribution information of the geographic location, basic geographic information of the geographic location, and category information of the displayed geographic location. ;
  • the behavioral features include: online information and offline information; wherein the online information includes: historical payment information generated in the geographic location; the offline information includes: historically occurring in the geographic location Offline transaction information and evaluation information for the geographic location;
  • the demographic characteristics include: consumption characteristic information and age distribution information of the user on the geographic location.
  • the determining module 203 is specifically configured to score the information respectively included in the geographic feature, the behavior feature, and the demographic feature, and determine the weight of the information included in the geographic feature, the behavior feature, and the demographic feature, and the obtained information Each score is weighted to determine the commercial value of the geographic location.
  • the determining module 203 is further configured to determine, according to any information included in the geographic feature, the behavior feature, and the demographic feature, the authenticity and completeness of the information, and determine the information according to the authenticity and integrity of the information. the weight of.
  • the device also includes:
  • Providing a module 204 for providing the commercial value of the geographic location to the navigation server causing the navigation server to display the commercial value of the geographic location on an electronic map provided to the user, or to The commercial value is provided to a credit service platform that causes the credit service platform to conduct a loan business based on the commercial value of the geographic location, or to provide the commercial value of the geographic location to the user.
  • the device shown in FIG. 2 above may be located at a server or a terminal.
  • a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory, or other Memory technology, CD-ROM, digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape storage or other magnetic storage device or any other non-transportable medium, available for Stores information that can be accessed by the computing device.
  • PRAM phase change memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • RAM random access memory
  • ROM read only memory
  • EEPROM electrically erasable programmable read only memory
  • flash memory or other Memory technology
  • CD-ROM digital versatile
  • 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 take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

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Abstract

一种确定地理位置的属性信息的方法及装置，该方法包括：从导航服务器中获取地理位置的地理特征（S101），根据预先保存的历史数据，确定所述地理位置的行为特征和人口特征（S102），根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息（S103）。通过上述方法可见，用户输入地理位置后，无需再次查询该地理位置的信息，即可直接获取所述地理位置的属性信息，因此有效地提高了地理位置查询时用户操作的便利性。

Description

一种确定地理位置的属性信息的方法及装置
本申请要求2016年03月16日递交的申请号为201610149877.6、发明名称为“一种确定地理位置的属性信息的方法及装置”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
本发明涉及计算机技术领域，尤其涉及一种确定地理位置的属性信息的方法及装置。
背景技术
随着信息技术的发展，人们已经可以随时随地的通过手机、平板电脑等终端，方便的查询各种地理位置。
现有技术中，为了使人们出行更加便利，地图导航软件会提供交通密度图，在人口密集和稀疏等不同区域标记不同颜色，用户可根据该密度图判定人群是否密集。
但是，由上述过程可见，该密度图仅仅能够显示人群多少，但不能提供地理位置的其他属性信息，如，繁华程度、饮食密集度、娱乐密集度等。用户如果想获得该地区的其他属性信息，则还需要查询其他的信息，对用户来说操作步骤多，缺乏便利性。
如：外地游客来到北京，希望去北京比较繁华的商业区看看，通过地图导航软件查询北京地理信息，但无法获得北京商圈信息。该外地游客通过现有技术中的交通密集图发现了一个人群密集区昌平回龙观，但是他无法确定该地区是否是一个繁华商业区，只能通过其他方法查询回龙观是否是商业区。
显然，上述过程中用户操作的便利性较差。
发明内容
本申请实施例提供一种确定地理位置的属性信息的方法及装置，用以解决现有技术中用户获取地理位置的属性信息时，操作便利性较低的问题。
本申请实施例提供的一种确定地理位置的属性信息的方法，包括：
从导航服务器中获取地理位置的地理特征；
根据预先保存的历史数据，确定所述地理位置的行为特征和人口特征；
根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息。
本申请实施例提供的一种确定地理位置的属性信息的装置，包括：
第一获取模块，用于从导航服务器中获取地理位置的地理特征；
第二获取模块，用于根据预先保存的历史数据，获取所述地理位置的行为特征和人口特征；
确定模块，用于根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息。
本申请提供一种确定地理位置的属性信息的方法，从导航服务器中获取地理位置的地理特征，根据预先保存的历史数据，确定所述地理位置的行为特征和人口特征，根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息。通过上述方法可见，用户输入地理位置后，无需再次查询该地理位置的信息，即可直接获取所述地理位置的属性信息，因此有效地提高了地理位置查询时用户操作的便利性。
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为本申请实施例提供的确定地理位置的属性信息的确定过程；
图2为本申请实施例提供的确定地理位置的属性信息的确定装置结构示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚，下面将结合本申请具体实施例及相应的附图对本申请技术方案进行清楚、完整地描述。显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
图1为本申请实施例提供的一种确定地理位置的属性信息的过程，该过程具体包括以下步骤：
S101：从导航服务器中获取地理位置的地理特征。
用户想获取某个地理位置的属性信息时，可先向服务器或终端输入该地理位置的名称，服务器或者终端则可获取该地理位置的地理特征。其中，所述的地理特征可以包括该地理位置的经纬度、海拔等地理特征。进一步的，由于目前导航服务已普遍应用，因此，服务器也可从提供导航服务的导航服务器中获取该地理位置的地理特征。
S102：根据预先保存的历史数据，确定所述地理位置的行为特征和人口特征。
在本申请实施例中，除了上述的地理特征外，确定地理位置的属性信息还需要依据该地理位置上的人群的行为特征和人口特征。其中，行为特征是指该地理位置上的人群的各种行为习惯特征，如，该地理位置上的群通常在餐饮场所或娱乐场所中的消费额度等。人口特征是指该地理位置上的人群本身的特征，如，性别分布、年龄分布等。
S103：根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息。
确定了上述的地理特征、行为特征、人口特征后，则可以这三者中的至少一种为依据，确定该地理位置的属性信息。如，可预先针对上述三种特征以及要确定的属性信息训练指定的算法模型，则确定了上述三种特征后，可直接将这三种特征输入到预先训练的算法模型中，得到输出的该地理位置的属性信息。
当然，也可针对每个所需的特征进行评分，最后进行加权计算，得到该地理位置的属性信息。具体的，首先，可针对该地理位置的地理特征、行为特征和人口特征分别进行评分，该评分可以由服务器或终端将上述三个特征与其他地理位置的相应三个特征进行对比，并按照一定的规则对这些地理位置进行排名，最后根据排名进行评分，也可以由服务器或终端呈现该地理位置的上述三个特征，并由工作人员根据这三个特征自行评分。
对该地理位置的地理特征、行为特征和人口特征分别进行评分后，可确定这三个特征分别对应的权重，再根据每个特征的评分和权重进行加权计算，加权后的总和即为该地理位置的属性值，可根据该属性值确定该地理位置的属性信息。其中，上述每个特征的权重可至少由该特征的完整度、真实度和重要度决定，也相当于，每个特征的权重由该特征的完整度权重、真实度权重和重要度权重决定。
通过上述方法可见，用户输入地理位置后，无需再次通过其他方式查询该地理位置的属性信息，即可直接获取所述地理位置的属性信息，因此有效地提高了地理位置查询时用户操作的便利性。
下面以地理位置的属性信息为商业价值为例，说明地理位置的商业价值的详细确定过程。
首先，用于确定并提供地理位置的商业价值的服务器可先从导航服务器中获取历史上查询所述地理位置的次数信息、位于所述地理位置的人群数量分布信息、所述地理位置的基本地理信息、所述地理位置所属的类别信息中的至少一种作为地理特征。
然后，在支付服务器获取线上信息和线下信息作为行为特征。其中，线上信息包括但不限于：历史上在所述地理位置发生的缴费信息。线下信息包括但不限于：历史上在所述地理位置发生的线下交易信息和对所述地理位置的评价信息。
同样在该支付服务器上获取在所述地理位置上的用户的消费特征信息和年龄分布信息中的至少一种作为人口特征。
上述的地理特征、行为特征和人口特征中包含的信息具体可以如下表1所示。
Figure PCTCN2017075518-appb-000001
Figure PCTCN2017075518-appb-000002
表1
当然，除上述表1所示的各特征中包含的信息以外，还可包含其他信息，只要是导航服务器和支付服务器能够统计到的信息即可，如，人口特征中还可包含该地理位置上的用户的性别分布、职业分布等信息。
需要说明的是，如表1所示的行为特征可通过支付服务器中的历史数据来统计获得，具体来说，在统计历史上该地理位置发生的缴费信息时，可获取支付服务器中保存的发生在该地理位置上的水、电、煤缴费日志，再根据各日志中记录的缴费金额、用量、缴费时间等，统计得到指定周期内、电、煤的平均缴费金额、平均用量以及用量的高峰和低谷时间。在统计线下交易信息时，可通过支付服务器获取银行的转账记录，根据转账记录确定指定周期内该地理位置上的平均转账交易金额。在统计评价信息时，可获取支付服务器中保存的该地理位置上的用户对各指标(如，停车是否便利等)的评分，并统计各指标的平均评分。
在统计人口特征时，首先可根据支付服务器中保存的各用户的账号对应的收件地址，将至少一个收货地址为该地理位置的各用户确定为该地理位置上的用户。在统计这些用户的年龄分布信息时，可根据支付服务器中保存的这些用户的账号中记录的用户年龄，统计该地理位置上的用户的年龄分布，如，可预设四个年龄段：0-10岁、10-20岁、20-50岁、50-70岁等，统计每个年龄段的用户数量，计算每个年龄区间占总用户的百分比。在统计该地理位置上用户的消费特征信息时，可根据支付服务器中保存的每个用户在指定周期的交易记录，统计每个用户在该周期内的消费总金额、消费总次数以及对每一类产品消费的次数，根据每个用户对每一类产品消费的次数，统计该用户在各类产品上消费的分布。
另外，在统计人口特征时，还可将该地理位置上的用户分为常住人口特征和非常住人口特征，并对这两类用户分别进行统计。划分常住人口和非常住人口时，针对每个用户，可获取支付服务器中保存的该用户的各交易记录，判断包含的收货地址为该地理位置的交易记录的数量或所占百分比是否超过预设阈值，若是，则确定该用户为该地理位置的常住人口，否则，确定该用户为该地理位置的非常住人口。
通过上述方法统计得到地理特征、行为特征和人口特征后，则可根据地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息。具体过程如下：
第一步，对如表1所示的各特征中包含的每项信息进行评分，可针对于各项信息预先设定区间范围，不同的区间范围对应不同评分。例如，如表2所示，在确定商业价值时，地理特征中的居民区评分低于商业区，因为商业区具有较多的餐厅、娱乐场所、商场等，是人群消费的聚集区，而居民区仅仅是人群居住聚集区，无论从消费金额、消费频率来比都远远低于商业区，所以在判定地理位置的类别信息时，对商业区的评分高于居民区评分。
地理位置类别 类别评分
商业区 99
旅游区 90
办公区 80
居民区 60
表2
再如，人口特征中对人群年龄评分也同样类似，如表3所示，年龄分布0-10岁无劳动能力，经济不独立完全依靠家长抚养，故消费能力很低，10-20岁的人群主要是中学生，因为家长给少量的零用钱故有一点消费能力，20-50岁的人群大部分都有工作，有固定的收入来源，故有较高的消费能力，50-70岁的人群靠子女赡养和退休金生活，这个年龄段人群生活也比较节俭，故消费能力一般。因此这四个年龄区间的人群消费能力从高到低排序为：20-50岁、50-70岁、10-20岁、0-10岁，因此这四个年龄区间人群消费能力的评分也呈递减趋势。
年龄区间 消费能力评分
20-50岁 95
50-70岁 70
10-20岁 50
0-10岁 15
表3
第二步，确定所述地理特征、行为特征和人口特征中分别包含的信息的权重。具体来说，针对所述地理特征、行为特征和人口特征中包含的任一信息，确定该信息的真实度和完整度，根据该信息的真实度和完整度，确定该信息的权重。
其中，在确定真实度时，由于导航服务器中的数据由于大多是通过路采等方式收集 的，其准确性相较于实时更新变化的支付服务器较低，因此，确定真实度的步骤可只针对地理特征执行，而对于行为特征和人口特征可认为是真实的。因此，在确定地理特征的真实性时，可对比地理特征和行为特征来确定地理特征中各信息的真实度。如，在确定地理特征中“地理位置类别信息”的真实度时，在导航服务器获取的数据显示地理位置A是饭店，但是通过对地理位置A的评价信息或消费特征信息进行分析后(如，提取评价信息中的关键词，或确定消费特征中“消费产品类别分布”中最大概率分布的消费产品类别)，确定地理位置A其实是电影院，则可确定地理特征中“地理位置A的类别信息”的真实度就是很低的，因此该信息的真实度权重低，甚至为0。具体量化真实度的方法可以是：调取地理位置A地理特征中的关键词与地理位置A行为特征中的关键词，如：地理特征的关键词有口味、上菜速度、干净等，行为特征关键词有影音、座位、票价等，可根据自然语言相似度判断算法来进行相似度计算，相似度越高，则地理特征的真实度越高，相似度越低，则地理特征的真实度越低。总之，对于任意一个特征中的任意一个信息来说，该信息的真实度越高，其真实度权重越高，反之，其真实度权重越低。
在确定完整度时，可通过对比预估的数据量和实际获取到的数据量来确定。比如：需要统计地理位置A上1000个人的月平均消费金额来确定地理位置A上的人群消费能力，即，预估的数据量为1000，但是从支付服务器只能获取700个人的月平均消费金额，即，实际获取到的数据量为700，则根据预先划分的如表4所示的判定信息完整与否的区间范围，即可得到信息的完整度。
样本数量/个 完整度判断 权重值
900-1000 完整 1
600-900 较完整 0.7
300-600 较不完整 0.6
0-300 不完整 0.3
表4
根据表4判断得知，人群月平均消费金额这个信息是较完整的，其对应的权重值是0.7。
除了信息的真实度和完整度外，信息的重要度也会决定信息的权重，比如：如对于饭店来说一个在中午和晚上饭点时间人流量较大，月平均交易流水额较大，人群评价便于停车的地理位置会有较大的商业价值，那么地理位置A上的人群在一天不同时间节点的数量分布信息、线下交易流水额信息、人群对地理位置A的优缺点评价信息这三个信 息的重要度权重要高于地理特征、行为特征和人口特征中包含的其它信息的重要度权重。信息的重要度权重可由人为根据需求设定。
第三步，将得到的各评分进行加权计算，确定该地理位置的属性信息并提供。每个信息评分乘以完整度权重、真实度权重和重要度权重，然后所有信息加权评分总和即是该地理位置的商业价值。
之后，可将输出的地理位置A的商业价值提供给导航服务器，使导航服务器提供给用户的电子地图上显示地理位置A的商业价值，依据商业价值的高低程度标记不同颜色在地图上显示方便用户判断城市的商圈范围。或者，将输出的商业价值提供给信贷服务平台，使信贷服务平台根据地理位置A的商业价值判断地理位置A是否具备还贷能力，在进行贷款业务。或者，将输出的商业价值提供给用户，如：中小型经营者，可帮助他们进行线下商铺选址。
以上确定地理位置的属性信息的方法均可由支付服务器实现，也可以由其他服务器从导航服务器调取地理特征，并从支付服务器调取行为特征和人口特征，再进行加权计算，最终确定地理位置的属性信息。
以上是以确定地理位置的商业价值为例进行说明的，除了可确定地理位置的商业价值以外，本申请提供的如图1所示的方法还可确定地理位置的其他属性信息，如，娱乐密集度或餐饮密集度等。当确定餐饮密集度时，地理特征、行为特征和人口特征中所包含的具体信息会有所不同。比如，在确定地理位置B区域的餐饮密集度时，地理位置B的地理特征可包括：饭点时间该区域的交通堵塞程度、该区域与附近商圈的距离信息、该区域的面积信息、该区域饭店的数量，地理位置B的行为特征包括：该区域每家饭店平均月蔬菜、肉类、海鲜等采购数量、该区域平均每家饭店每日用餐人数、该区域平均每家饭店的月水、电、煤气用量，该区域平均每家饭店月上税金额，该区域平均每家饭店的每天营业时间小时数。地理位置B的人口特征包括：附近人群职业、性别比例、年龄分布等。
以上为本申请实施例提供的确定地理位置的属性信息的方法，基于同样的思路，本申请还提供了相应的确定地理位置的属性信息的装置如图2所示。
图2为本申请实施例提供的确定地理位置的属性信息的装置结构示意图，具体包括：
第一获取模块201，用于从导航服务器中获取地理位置的地理特征；
第二获取模块202，用于根据预先保存的历史数据，获取所述地理位置的行为特征和人口特征；
确定模块203，用于根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息。
所述地理位置的属性信息包括：所述地理位置的商业价值。
所述地理特征包括：历史上查询所述地理位置的次数信息、位于所述地理位置的人群数量分布信息、所述地理位置的基本地理信息、所示地理位置所属的类别信息中的至少一种；
所述行为特征包括：线上信息和线下信息；其中，所述线上信息包括：历史上在所述地理位置发生的缴费信息；所述线下信息包括：历史上在所述地理位置发生的线下交易信息和对所述地理位置的评价信息；
所述人口特征包括：在所述地理位置上的用户的消费特征信息和年龄分布信息。
所述确定模块203具体用于，针对所述地理特征、行为特征和人口特征中分别包含的信息进行评分，确定所述地理特征、行为特征和人口特征中分别包含的信息的权重，将得到的各评分进行加权计算，确定所述地理位置的商业价值。
所述确定模块203还用于，针对所述地理特征、行为特征和人口特征中包含的任一信息，确定该信息的真实度和完整度，根据该信息的真实度和完整度，确定该信息的权重。
所述装置还包括：
提供模块204，用于将所述地理位置的商业价值提供给所述导航服务器，使所述导航服务器在提供给用户的电子地图上显示所述地理位置的商业价值，或者将所述地理位置的商业价值提供给信贷服务平台，使所述信贷服务平台根据所述地理位置的商业价值进行贷款业务，或者将所述地理位置的商业价值提供给用户。
具体的，上述如图2所示的装置可以位于服务器或者终端。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器 (SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。
本领域技术人员应明白，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。
以上所述仅为本申请的实施例而已，并不用于限制本申请。对于本领域技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原理之内所作的任何修改、等同替换、改进等，均应包含在本申请的权利要求范围之内。

Claims (12)

  1. 一种确定地理位置的属性信息的方法，其特征在于，包括：
    从导航服务器中获取地理位置的地理特征；
    根据预先保存的历史数据，确定所述地理位置的行为特征和人口特征；
    根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息。
  2. 如权利要求1所述的方法，其特征在于，所述地理位置的属性信息包括：所述地理位置的商业价值。
  3. 如权利要求2所述的方法，其特征在于，所述地理特征包括：历史上查询所述地理位置的次数信息、位于所述地理位置的人群数量分布信息、所述地理位置的基本地理信息、所述地理位置所属的类别信息中的至少一种；
    所述行为特征包括：线上信息和线下信息；其中，所述线上信息包括：历史上在所述地理位置发生的缴费信息；所述线下信息包括：历史上在所述地理位置发生的线下交易信息和对所述地理位置的评价信息；
    所述人口特征包括：在所述地理位置上的用户的消费特征信息和年龄分布信息。
  4. 如权利要求2所述的方法，其特征在于，根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性，具体包括：
    针对所述地理特征、行为特征和人口特征中分别包含的信息进行评分；
    确定所述地理特征、行为特征和人口特征中分别包含的信息的权重；
    将得到的各评分进行加权计算，确定所述地理位置的商业价值。
  5. 如权利要求4所述的方法，其特征在于，确定所述地理特征、行为特征和人口特征中分别包含的信息的权重，具体包括：
    针对所述地理特征、行为特征和人口特征中包含的任一信息，确定该信息的真实度和完整度；
    根据该信息的真实度和完整度，确定该信息的权重。
  6. 如权利要求2所述的方法，其特征在于，所述方法还包括：
    将所述地理位置的商业价值提供给所述导航服务器，使所述导航服务器在提供给用户的电子地图上显示所述地理位置的商业价值；或者
    将所述地理位置的商业价值提供给信贷服务平台，使所述信贷服务平台根据所述地理位置的商业价值进行贷款业务；或者
    将所述地理位置的商业价值提供给用户。
  7. 一种确定地理位置的属性信息的装置，其特征在于，包括：
    第一获取模块，用于从导航服务器中获取地理位置的地理特征；
    第二获取模块，用于根据预先保存的历史数据，获取所述地理位置的行为特征和人口特征；
    确定模块，用于根据所述地理特征、行为特征和人口特征中的至少一种，确定所述地理位置的属性信息。
  8. 如权利要求7所述的装置，其特征在于，所述地理位置的属性信息包括：所述地理位置的商业价值。
  9. 如权利要求8所述的装置，其特征在于，所述地理特征包括：历史上查询所述地理位置的次数信息、位于所述地理位置的人群数量分布信息、所述地理未知的基本地理信息、所示地理位置所属的类别信息中的至少一种；
    所述行为特征包括：线上信息和线下信息；其中，所述线上信息包括：历史上在所述地理位置发生的缴费信息；所述线下信息包括：历史上在所述地理位置发生的线下交易信息和对所述地理位置的评价信息；
    所述人口特征包括：在所述地理位置上的用户的消费特征信息和年龄分布信息。
  10. 如权利要求8所述的装置，其特征在于，所述确定模块，具体用于针对所述地理特征、行为特征和人口特征中分别包含的信息进行评分，确定所述地理特征、行为特征和人口特征中分别包含的信息的权重，将得到的各评分进行加权计算，确定所述地理位置的商业价值。
  11. 如权利要求10所述的装置，其特征在于，所述确定模块具体用于，针对所述地理特征、行为特征和人口特征中包含的任一信息，确定该信息的真实度和完整度，根据该信息的真实度和完整度，确定该信息的权重。
  12. 如权利要求7所述的装置，其特征在于，所述装置还包括：
    提供模块，用于将所述地理位置的商业价值提供给所述导航服务器，使所述导航服务器在提供给用户的电子地图上显示所述地理位置的商业价值，或者，将所述地理位置的商业价值提供给信贷服务平台，使所述信贷服务平台根据所述地理位置的商业价值进行贷款业务，或者，将所述地理位置的商业价值提供给用户。
PCT/CN2017/075518 2016-03-16 2017-03-03 一种确定地理位置的属性信息的方法及装置 Ceased WO2017157184A1 (zh)

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