WO2016070673A1 - 用户属性分析方法及装置 - Google Patents
用户属性分析方法及装置 Download PDFInfo
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- WO2016070673A1 WO2016070673A1 PCT/CN2015/087837 CN2015087837W WO2016070673A1 WO 2016070673 A1 WO2016070673 A1 WO 2016070673A1 CN 2015087837 W CN2015087837 W CN 2015087837W WO 2016070673 A1 WO2016070673 A1 WO 2016070673A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
Definitions
- the present invention relates to the field of communications, and in particular, to a user attribute analysis method and apparatus.
- the existing user segmentation system usually forms a feature description of the user's online behavior by processing and analyzing the DPI online log, thereby subdividing the mobile terminal user.
- the existing method has the following three drawbacks:
- the first drawback is that the mobile terminal user must be required to use the mobile phone to browse the webpage. Users who do not use the mobile phone to browse the webpage or users who rarely use the mobile phone to browse the webpage cannot perform user segmentation. This is because most users often use each APP, and the APP log information operator is difficult to obtain, and there are also functional machine users can not use the mobile phone to access the Internet.
- the second drawback is that the segmentation of user behavior cannot be accurately achieved by virtue of the content of the webpage viewed by the mobile terminal user.
- the third drawback is that the number of web pages is huge, and the web pages that users browse can be described as diverse, plus the current fast food culture, and the media's follow-up hype, which can really extract information-based or available web pages. This leads to high complexity both in storage cost and in analysis.
- the embodiment of the invention provides a user attribute analysis method and device, so as to at least solve the problem that the existing DPI online log analysis method cannot accurately segment the mobile terminal user.
- a user attribute analysis method including: collecting resident information of a mobile terminal that has camped in a predetermined geographical area within a predetermined time interval; Whether the retained information reaches the predetermined resident information standard, and if the judgment result is yes, it is determined that the user who uses the mobile terminal conforms to the user attribute of the predetermined geographical area.
- Collecting the resident information of the mobile terminal that has camped in the predetermined geographical area including: acquiring the resident information by using the predetermined base station according to a mapping relationship between the predetermined geographical area and the predetermined base station establishment, in a predetermined time interval, Wherein the predetermined base station is a base station located around a predetermined geographical area and the transmission signal can cover the predetermined geographical area.
- the mapping relationship is established for the predetermined base station and the found geographical area after finding a geographical area that the predetermined base station can serve on the geographic information system (GIS) map according to the location information of the predetermined base station.
- GIS geographic information system
- the predetermined base station includes one of: a single base station located around a predetermined geographic area; and a logical base station consisting of a plurality of single base stations located around a predetermined geographic area.
- the predetermined geographic area includes one of the following: a residential area of the same type, a consumption area of the same type, and a work area of the same type.
- the resident information includes: a resident duration; determining whether the resident information reaches a predetermined resident information standard, including: determining whether the resident duration reaches a predetermined resident duration threshold.
- Determining that the user using the mobile terminal meets the user attribute of the predetermined geographical area including: determining that the user lives in the same type of living area if the predetermined geographical area is the same type of living area; the same type in the predetermined geographical area In the case of the consumption area, it is determined that the user prefers the same type of consumption area; in the case where the predetermined geographical area is the same type of work area, it is determined that the user's work content has a correlation with the same type of work area.
- a user attribute analysis apparatus including: an acquisition module, configured to collect resident information of a mobile terminal that has camped in a predetermined geographical area within a predetermined time interval; and a processing module And setting to determine whether the resident information reaches a predetermined resident information standard, and if the determination result is yes, determining that the user who uses the mobile terminal conforms to the user attribute of the predetermined geographical area.
- the collecting module includes: acquiring the resident information by using the predetermined base station according to a mapping relationship between the predetermined geographical area and a predetermined base station established in advance, wherein the predetermined base station is located in the predetermined geographical area A surrounding base station and a transmit signal capable of covering the predetermined geographic area, the predetermined base station comprising one of: a single base station located around the predetermined geographic area; and a logical base station consisting of a plurality of single base stations located around the predetermined geographic area.
- the predetermined geographic area includes one of the following: a residential area of the same type, a consumption area of the same type, and a work area of the same type.
- the user attribute analysis method and device can fully utilize the advantages of the operator, classify users who use the mobile terminal in different scenarios, and can determine the user's residential attributes, consumption attributes, and Work attributes to provide business-worthy information to a wide range of merchants.
- FIG. 1 is a flowchart of a user attribute analysis method according to an embodiment of the present invention.
- FIG. 2 is a structural block diagram of a user attribute analysis apparatus according to an embodiment of the present invention.
- FIG. 3 is a flow chart of a method for performing residential community subdivision for a mobile terminal user in accordance with a preferred embodiment of the present invention
- FIG. 4 is a flow chart of a method for performing residential community subdivision for a mobile terminal user in accordance with another preferred embodiment of the present invention.
- FIG. 5 is a schematic structural diagram of an apparatus for performing residential community subdivision for a mobile terminal user according to still another preferred embodiment of the present invention.
- the embodiment of the invention provides a user attribute analysis method.
- 1 is a flowchart of a user attribute analysis method according to an embodiment of the present invention. As shown in FIG. 1, the method includes the following steps (step S102-step S104):
- Step S102 Collect resident information of the mobile terminal that has camped in the predetermined geographical area within a predetermined time interval.
- Step S104 Determine whether the resident information meets a predetermined resident information standard, and if the determination result is yes, determine that the user who uses the mobile terminal meets the user attribute of the predetermined geographic area.
- the mobile terminal may be determined, according to the resident information that the mobile terminal resides in a specific area for a period of time, whether the user who uses the mobile terminal meets the user attribute in the specific area, for example, the user and the specific area may be determined. There is a lot of correlation.
- step S102 can be implemented in such a manner that:
- the resident information is acquired by the predetermined base station according to a mapping relationship between the predetermined geographical area established in advance and the predetermined base station establishment, wherein the predetermined base station is a base station located around the predetermined geographical area and the transmission signal can cover the predetermined geographical area.
- mapping relationship also referred to as a correspondence relationship
- the mapping relationship is a predetermined base station and the searched geographical area after finding a geographical area that the predetermined base station can serve on the geographic information system (GIS) map according to the location information of the predetermined base station. built.
- GIS geographic information system
- other map searching methods can also be used to find a geographical area around the predetermined base station.
- the predetermined base station may include one of: a single base station located around a predetermined geographical area; and a logical base station composed of a plurality of single base stations located around the predetermined geographical area.
- the number of base stations serving a predetermined geographical area can be flexibly adjusted, on the one hand, in order to make the base station related to the predetermined geographical area collect more resident information of the relevant mobile terminal, and on the other hand, It is necessary to prevent the base station from unnecessarily affecting other data communication services, voice services, and the like of the user due to the collection of the resident information of the user.
- the predetermined geographic area may include one of the following types: a residential area of the same type, a consumption area of the same type, and a work area of the same type.
- the predetermined base station can collect the resident information of the mobile terminal in multiple scenarios in a wider range, so that the analysis of the user group is more refined and more diverse.
- the resident information may include: a resident duration, and accordingly, the resident information standard may naturally be set as a duration threshold, and thus, when determining whether the resident information reaches the predetermined resident information
- the standard that is, the process of determining whether the resident duration reaches a predetermined dwell duration threshold.
- step S104 when it is determined that the user using the mobile terminal meets the user attribute of the predetermined geographic area, the following manner may be adopted:
- the predetermined geographical area is the same type of living area, it is determined that the user lives in the same type of living area; (2) in the case where the predetermined geographical area is the same type of consumption area, the user preference is determined. The same type of consumption area; (3) in the case where the predetermined geographical area is the same type of work area, it is determined that the user's work content has a correlation with the same type of work area.
- the embodiment of the present invention further provides a user attribute analysis apparatus, which is configured to execute the foregoing user attribute analysis method.
- FIG. 2 is a structural block diagram of a user attribute analysis apparatus according to an embodiment of the present invention.
- the apparatus may include: an acquisition module 10 and a processing module 20.
- the collecting module 10 is configured to collect the resident information of the mobile terminal that resides in the predetermined geographical area within a predetermined time interval;
- the processing module 20 is connected to the collecting module 10, and is configured to determine whether the resident information reaches the predetermined time.
- the resident information standard determines that the user who uses the mobile terminal conforms to the user attribute of the predetermined geographical area if the judgment result is yes.
- the predetermined base station may include one of: a single base station located around a predetermined geographical area; and a logical base station composed of a plurality of single base stations located around the predetermined geographical area.
- the number of base stations serving a predetermined geographical area can be flexibly adjusted, on the one hand, in order to make the base station related to the predetermined geographical area collect more resident information of the relevant mobile terminal, and on the other hand, It is necessary to prevent the base station from unnecessarily affecting other data communication services, voice services, and the like of the user due to the collection of the resident information of the user.
- the predetermined geographic area may include one of the following: a residential area of the same type, a consumption area of the same type, a work area of the same type.
- the predetermined base station can collect the resident information of the mobile terminal in multiple scenarios in a wider range, so that the analysis of the user group is more refined and more diverse.
- the preferred embodiment of the present invention can subdivide the user by accurately parking the information of the mobile terminal user in the predetermined predetermined area.
- the residential community can be used as the predetermined area to determine the living attribute of the user, thereby determining whether the user is Living in the above-mentioned residential community, further, user behavior analysis can be performed on various types of areas such as the user's working place and the consumption place to determine whether the user satisfies the user attributes in these areas.
- the user can perform analysis of income judgment, life circle judgment, and home user judgment, thereby providing more basis for business promotion, facilitating precision marketing by many merchants, thereby reducing marketing. cost.
- the process of subdividing the user is described by taking the residential community as an example.
- the implementation process of subdividing the user through the residential community may adopt the following methods:
- the GIS electronic map is matched, and the living community corresponding to the base station is located, and the base stations are mapped to the residential community of the user.
- the mobile station signaling acquisition system collects the base station location and the resident duration registered by all mobile terminals during the night time period (10 pm to 5 pm the next day).
- the mobile terminal user is subjected to community-based subdivision through calculation.
- the use of community-based segmentation results can be used for income judgment, life circle judgment, home user judgment and other analysis to provide more basis for business promotion.
- the user's preference may be subdivided based on the shopping place (ie, the above-mentioned consumption area), and the user may be subdivided based on the office location (ie, the above work area).
- FIG. 3 is a flowchart of a method for performing residential community subdivision for a mobile terminal user according to a preferred embodiment of the present invention. As shown in FIG. 3, the process includes the following steps:
- Step S301 Perform matching search on the GIS electronic map according to the latitude and longitude coordinates of the base station location, establish a corresponding relationship between the base station and each residential community, and adopt a single independent base station, or divide multiple base stations belonging to the same community into one logical base station.
- a logical base station is implemented corresponding to a residential community.
- Step S302 Collect and store the berth point information (ie, the resident information) of the terminal mobile user in the night of the specified time period (for example, 10 pm to 5 pm on the next day), and the collected berth information includes at least the The identity of the end user, the start time of the end user's stay at the berth, the end time at the berth, and the base station number corresponding to the berth.
- the specified time period may be three months, six months, one year, or even longer.
- step S303 the time period of the same user, the same day, and the night (10 pm to 5 am the next day) in the specified time period are summarized and summarized, and the resident time is summarized according to the records belonging to the same logical base station, and the calculation is performed.
- Step S304 The number of days in which the ratio of the duration of each user's residence in the residential community to the total duration of the day (10 pm to 5 am the next day) is greater than 50% of the number of days per day during the specified time period.
- Step S305 Determine whether the ratio of the number of days (the number of days calculated in step S304) of each user to the total number of days in the specified time period is greater than 50%.
- Step S306 if the result calculated in step S305 is greater than 50%, it may be determined that the user belongs to the community.
- Step S307 If the result calculated in step S305 is not more than 50%, it may be determined that the user does not belong to the community.
- Step S308 after all the user data in the database are processed according to steps S304 to S307, the subdivision of the mobile terminal user according to the residential community is completed.
- FIG. 4 is a flow chart of a method for performing residential community subdivision for a mobile terminal user in accordance with another preferred embodiment of the present invention. As shown in Figure 4, the process includes:
- Step S401 Perform matching on the GIS electronic map according to the latitude and longitude coordinates of the base station location, and establish a corresponding relationship between the base station and each residential community, and may adopt a single independent base station, or may divide multiple base stations belonging to the same community into one logical base station. Thereby implementing a logical base station corresponding to a residential community.
- Step S402 collecting and storing the parking point information (ie, the above-mentioned resident information) of the terminal mobile user in the night of the specified time period (10 pm to 5 am the next day), and the collected berth information includes at least: the terminal The identity of the user, the start time of the end user's stay at the berth, the end time at the berth, and the base station number corresponding to the berth.
- the above specified time period may be three months, six months, one year, or even longer.
- Step S403 statistically summarize the time of the same user, the same day, and the night (10 pm to 5 am the next day) in the specified time period, and summarize the resident time according to the records belonging to the same logical base station, and calculate The total length of time that the user resided in the residential community that night.
- Step S404 determining whether there is still unprocessed user record data in the database, if there is record data, reading the user data record in the database, go to step S405; if there is no record data, go to step S408.
- Step S405 The number of days in which the ratio of the duration of each user staying in the residential community to the total duration of the day (10 pm to 5 am the next day) is greater than 50% of the number of days per day during the specified time period.
- Step S406 Determine whether the ratio of the number of days (the number of days calculated in step S405) of each user to the total number of days in the specified time period is greater than 50%.
- Step S407 if the result calculated in step S406 is greater than 50%, it may be determined that the user belongs to the community and saves the user information; if the result calculated in step S406 is not more than 50%, then the process goes to step S404.
- Step S408 After all the user data in the database are processed according to steps S404 to S407, the process of subdividing the mobile terminal user according to the residential community is completed.
- FIG. 5 is a schematic structural diagram of an apparatus for performing residential community subdivision for a mobile terminal user according to still another preferred embodiment of the present invention.
- the apparatus includes: a base station and a living community establishing a mapping correspondence module 501, and collecting a parking point.
- the information module 502 stores a berth information module 503, a statistic summary module 504, and a classification module 505.
- the following five functional modules are further explained:
- the base station and the residential community establish a mapping correspondence module 501, which can perform matching on the GIS electronic map according to the latitude and longitude information of the base station location, locate the residential community corresponding to the base station, and establish a mapping relationship between each base station and the user's living community, because A residential community may correspond to multiple base stations, and multiple base stations corresponding to the same residential community may be grouped into one logical base station, thereby forming a logical base station corresponding to a residential community.
- a mapping correspondence module 501 can perform matching on the GIS electronic map according to the latitude and longitude information of the base station location, locate the residential community corresponding to the base station, and establish a mapping relationship between each base station and the user's living community, because A residential community may correspond to multiple base stations, and multiple base stations corresponding to the same residential community may be grouped into one logical base station, thereby forming a logical base station corresponding to a residential community.
- the collection of the berth information module 502 can collect the berth information of the storage terminal user during the specified time period from 10 pm to 5 pm on the next day (also referred to as location information or resident point information, that is, the above
- the parking information includes at least the identifier of the terminal user, the start time of the terminal user staying at the berth, the end time of staying at the berth, and the base station number corresponding to the berth.
- the above time period can be three months, six months, one year, or even Longer time period.
- the storage berth information module 503 can clean the collected berth information data and store it in a database according to a certain format.
- the statistical summary module 504 the specific operation is to record the parking point information data of the same user, the same day, from 10:00 pm to 5:00 the next day, and the resident time length is summarized according to the records with the same base station number. Further, the data records of the respective base stations belonging to the same logical base station are further aggregated, so that the length of time each mobile terminal user resides in the residential community can be calculated.
- the classification module 505 can calculate the duration of staying in the living community/the total length of the night in the specified time period, each user, from 10:00 pm to 5:00 am the next day (10 pm to the next day) At 5 o'clock in the morning) ⁇ 100% of the results is greater than 50% of the number of days, and the ratio of the total number of days in the specified time period is greater than 50%, if the final calculation result of the user is greater than 50%, it can be judged that the user lives In the community, otherwise, the user does not live in the community. Further, all the user data records in the summarized database are calculated according to the above algorithm, thereby realizing the process of subdividing the mobile terminal users according to the residential community.
- Step 1 According to the latitude and longitude coordinates of the base station location, perform matching search on the GIS electronic map, and establish a corresponding relationship between the base station and each residential community, and divide a plurality of base stations belonging to the same community into one logical base station, and realize one logical base station corresponding to one living base. community.
- Step 2 Collecting and storing the parking point information (ie, the above-mentioned resident information) of the terminal mobile user in the night of the specified time period (10 pm to 5 am the next day), and the collected berth information includes at least the terminal user.
- the above specified time period may be three months, six months, one year, or even longer.
- Step 3 Statistically summarize the time of the same user in the specified time period, the same day, and the evening (10 pm to 5 am the next day), and summarize the resident time according to the records belonging to the same logical base station. The total length of time that the user resided in the residential community that night.
- Step 4 reading the database records summarized in step 3, determining whether there are still unprocessed user record data in the database, if there is record data, reading the user data record in the database, and going to step 5; if there is no record Data, go to step 8.
- Step 5 The statistics summarizes the number of days in which the ratio of the duration of each user's residence in the residential community to the total duration of the day (10 pm to 5 am the next day) is greater than 50%.
- Step 6 Determine whether the ratio of the number of days (the number of days calculated in step 5) of each user to the total number of days in the specified time period is greater than 50%.
- Step 7 If the result calculated in step 6 is greater than 50%, it may be determined that the user belongs to the community, and Save the user information, go to step 8; if the result calculated in step 6 is not more than 50%, go to step 4.
- Step 8 After all the user data in the database are processed according to steps 4 to 7, the process of subdividing the mobile terminal user according to the residential community is completed.
- Step 1 According to the latitude and longitude coordinates of the base station location, perform matching search on the GIS electronic map, and establish a corresponding relationship between the base station and each shopping place, and may adopt a single independent base station, or divide multiple base stations belonging to the same shopping place into one. A logical base station, thereby implementing a logical base station corresponding to a shopping place.
- Step 2 collecting and storing the parking point information of the terminal mobile user of the specified time period (10 am to 10 pm), the collected parking point information includes at least the identifier of the terminal user, and the terminal user stays at the parking point.
- the specified time period described above may be three months, six months, one year, or even longer.
- Step 3 Statistically summarize the time of the same user in the specified time period, the same day, every day (10 am to 10 pm), summarize the resident time according to the records belonging to the same logical base station, and calculate the user. The total time of staying at the shopping venue during the day (10 am to 10 pm).
- Step 4 reading the database records summarized in step 3, determining whether there are still unprocessed user record data in the database, if there is record data, reading the user data record in the database, and going to step 5; if there is no record Data, go to step 8.
- Step 5 The statistics summarizes the number of days each user resides in the shopping place for more than 30 minutes per day during the specified time period.
- Step 6 Statistically summarize the ratio of the number of days per user (the number of days calculated in step 5) to the total number of days in the specified time period.
- Step 7 filtering out the data record whose ratio result calculated in step 6 is greater than 50%, and further, sorting the results calculated according to step 6 in reverse order, so that the shopping place in the record with the highest ranking can be calculated as the preference of the user. Shopping place.
- Step 8 After all the user data in the database are processed according to steps 4 to 7, the process of subdividing the shopping place preferred by the mobile terminal user is completed.
- Step 1 According to the latitude and longitude coordinates of the base station location, perform matching search on the GIS electronic map, and establish a corresponding relationship between the base station and each work place, and may adopt a single independent base station, or divide multiple base stations belonging to the same work place into one logic.
- the base station thereby implementing a logical base station corresponding to a work place.
- Step 2 Collecting and storing the berth information of the terminal mobile user in the daytime (9:00 am to 5:00 pm) of the specified time period, and the collected berth information includes at least the identifier of the terminal user, and the terminal user is at the berth point The start time of the stay, the end time at which the berth stays, and the base station number corresponding to the berth.
- the specified time period described above may be three months, six months, one year, or even longer.
- Step 3 Statistics and summary of the same user in the specified time period, the same day, during the day (9 am to 5 pm), the resident time is summarized according to the records belonging to the same logical base station, and the user is calculated. The total length of time at the duty station on that day (9 am to 5 pm).
- Step 4 reading the database records summarized in step 3, determining whether there are still unprocessed user record data in the database, if there is record data, reading the user data record in the database, and going to step 5; if there is no record Data, go to step 8.
- Step 5 The statistics summarizes the number of days each user stays at the work place and the total time of the day (9 am to 5 pm) in the specified time period is greater than 50%.
- Step 306 Determine whether the ratio of the number of days (the number of days calculated in step 5) of each user to the total number of days in the specified time period is greater than 50%.
- Step 7 If the result calculated in step 6 is greater than 50%, it may be determined that the user works at the office, belongs to the company employee, and saves the user information, and proceeds to step 8; if the result calculated in step 6 is not greater than 50%, go to step 4.
- Step 8 After all the user data in the database are processed according to steps 4 to 7, the process of subdividing the mobile terminal user's office location is completed, so that the professional situation can be judged.
- the embodiments or the preferred embodiments of the present invention can help the merchant to accurately locate the customer group, and face the ever-increasing media price for the merchant.
- the precise marketing continues to be the focus of the enterprise, so for the operator, make full use of itself.
- the advantage of providing information services to a wide range of merchants will provide greater business value.
- the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, by hardware, but in many cases, the former is A better implementation.
- the technical solution of the present invention which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk,
- the optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, or a network device, etc.) to perform the methods described in various embodiments of the present invention.
- Embodiments of the present invention also provide a storage medium.
- the foregoing storage medium may include, but not limited to, a USB flash drive, a Read-Only Memory (ROM), a Random Access Memory (RAM), a mobile hard disk, and a magnetic memory.
- ROM Read-Only Memory
- RAM Random Access Memory
- a mobile hard disk a magnetic memory.
- modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
- the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module.
- the invention is not limited to any specific combination of hardware and software.
- the user attribute analysis method and apparatus provided by the embodiments of the present invention have the following beneficial effects: the advantages of the operator can be fully utilized, and the users using the mobile terminal in different scenarios can be classified, and the user's residential attributes can be determined. , consumer attributes, and work attributes to provide business-worthy information to a wide range of merchants.
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Abstract
本发明公开了一种用户属性分析方法及装置。其中，该方法包括：在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息；判断驻留信息是否达到预定的驻留信息标准，在判断结果为是的情况下，确定使用移动终端的用户符合预定地理区域的用户属性。通过本发明，达到了对使用移动终端的用户进行细分的效果。
Description
本发明涉及通信领域，尤其是涉及一种用户属性分析方法及装置。
现有的用户细分系统通常是通过对DPI上网日志的加工处理和分析，形成用户上网行为的特征刻画，从而对移动终端用户进行细分。但是，现有的方法存在以下三个缺陷：
第一个缺陷是必须要求移动终端用户使用手机进行网页的浏览，对于不使用手机浏览网页的用户或很少使用手机浏览网页的用户无法进行用户细分，这是由于大部分用户都经常使用各种APP，而APP日志信息运营商很难获取到，另外也有功能机用户无法使用手机上网。
第二个缺陷是凭借移动终端用户浏览的网页内容，无法准确地实现对用户行为的细分。
第三个缺陷是网页的数量巨大，而且用户浏览的网页可谓是五花八门，再加上现在的快餐文化，还有就是媒体的跟风炒作，真正能提取出有信息含量的或可以利用的网页并不多，这样导致无论存储成本还是分析的复杂度都很高。
由此可见，现有的DPI上网日志分析方法还不能准确地对移动终端用户进行细分。
发明内容
本发明实施例提供了一种用户属性分析方法及装置，以至少解决现有的DPI上网日志分析方法无法准确地对移动终端用户进行细分的问题。
为了至少达到上述目的，根据本发明的一个实施例，提供了一种用户属性分析方法，包括：在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息；判断驻留信息是否达到预定的驻留信息标准，在判断结果为是的情况下，确定使用移动终端的用户符合预定地理区域的用户属性。
在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息，包括：根据预先建立的预定地理区域与预定基站建立之间的映射关系，通过预定基站获取驻留信息，其中，预定基站是位于预定地理区域周围的且发射信号能够覆盖所述预定地理区域的基站。
映射关系是根据预定基站的位置信息，在地理信息系统(GIS)地图上查找到预定基站能够服务的地理区域后，为预定基站和查找到的地理区域建立的。
预定基站包括以下之一：位于预定地理区域周围的单个基站；由多个位于预定地理区域周围的单个基站组成的逻辑基站。
预定地理区域包括以下之一：同种类型的居住区域、同种类型的消费区域、同种类型的工作区域。
驻留信息包括：驻留时长；判断驻留信息是否达到预定的驻留信息标准，包括：判断驻留时长是否达到预定的驻留时长阈值。
确定使用移动终端的用户符合预定地理区域的用户属性，包括：在预定地理区域为同种类型的居住区域的情况下，确定用户居住在同种类型的居住区域；在预定地理区域为同种类型的消费区域的情况下，确定用户偏好同种类型的消费区域；在预定地理区域为同种类型的工作区域的情况下，确定用户的工作内容与同种类型的工作区域具有相关性。
根据本发明的另一个实施例，提供了一种用户属性分析装置，包括：采集模块，设置为在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息；处理模块，设置为判断驻留信息是否达到预定的驻留信息标准，在判断结果为是的情况下，确定使用移动终端的用户符合预定地理区域的用户属性。
所述采集模块包括：根据预先建立的所述预定地理区域与预定基站建立之间的映射关系，通过所述预定基站获取所述驻留信息，其中，所述预定基站是位于所述预定地理区域周围的且发射信号能够覆盖所述预定地理区域的基站，预定基站包括以下之一：位于预定地理区域周围的单个基站；由多个位于预定地理区域周围的单个基站组成的逻辑基站。
预定地理区域包括以下之一：同种类型的居住区域、同种类型的消费区域、同种类型的工作区域。
与相关技术相比，本发明实施例所述的用户属性分析方法及装置，可以充分利用运营商的优势，对不同场景下使用移动终端的用户进行分类，能够判断用户的居住属性、消费属性以及工作属性，从而为众多商家提供有商业价值的信息。
图1是根据本发明实施例的用户属性分析方法的流程图；
图2是根据本发明实施例的用户属性分析装置的结构框图；
图3是根据本发明一个优选实施例的对移动终端用户进行居住社区细分的方法流程图；
图4是根据本发明另一个优选实施例的对移动终端用户进行居住社区细分的方法流程图；以及
图5是根据本发明又一个优选实施例的对移动终端用户进行居住社区细分的装置结构示意图。
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明的一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域的普通技术人员在没有做出创造性劳动的前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明实施例提供了一种用户属性分析方法。图1是根据本发明实施例的用户属性分析方法的流程图，如图1所示，该方法包括以下步骤(步骤S102-步骤S104)：
步骤S102、在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息。
步骤S104、判断驻留信息是否达到预定的驻留信息标准，在判断结果为是的情况下，确定使用移动终端的用户符合预定地理区域的用户属性。
通过上述步骤，可以根据移动终端在一段时间内驻留在某一特定区域内的驻留信息判断使用该移动终端的用户是否符合该特定区域内的用户属性，例如，可以确定用户与该特定区域中具有很大的关联。
在本发明的一个优选实施方式中，上述步骤S102可以通过这样的方式来实现：
根据预先建立的预定地理区域与预定基站建立之间的映射关系，通过预定基站获取驻留信息，其中，预定基站是位于预定地理区域周围的且发射信号能够覆盖所述预定地理区域的基站。
也就是说，可以预先选定一些基站和地理区域，并为它们之间建立某种关联关系，例如，本发明实施例中建立的是映射关系(也可以称之为对应关系)。
在本发明的一个优选实施例方式中，映射关系是根据预定基站的位置信息，在地理信息系统(GIS)地图上查找到预定基站能够服务的地理区域后，为预定基站和查找到的地理区域建立的。当然，在实际应用中，还可以使用其它地图查找方式，为预定基站找到位于其周围的地理区域。
在本发明实施例中，预定基站可以包括以下之一：位于预定地理区域周围的单个基站；由多个位于预定地理区域周围的单个基站组成的逻辑基站。
通过这样的方式，可以对服务于预定地理区域的基站的个数进行灵活调整，一方面为了使与预定地理区域相关的基站尽量采集更多与相关移动终端的驻留信息，另一方面，还要避免基站由于采集用户的驻留信息而对用户的其它数据通信业务、语音业务等造成不必要的影响。
在本发明实施例中，预定地理区域可以包括以下之一：同种类型的居住区域、同种类型的消费区域、同种类型的工作区域。
通过对预定地理区域的种类进行划分，可以使预定基站能够更广范围的采集多种场景下的移动终端的驻留信息，使得对用户群的分析更加细化，更加多样化。
在本发明的一个优选实施方式中，驻留信息可以包括：驻留时长，相应地，驻留信息标准自然就可以设定为时长阈值，因此，当判断驻留信息是否达到预定的驻留信息标准，也就是判断驻留时长是否达到预定的驻留时长阈值的过程。
分别对照上述预定地理区域可以选取的区域类型，在步骤S104中，当确定使用移动终端的用户符合预定地理区域的用户属性时，可以采用以下的方式实现：
(1)在预定地理区域为同种类型的居住区域的情况下，确定用户居住在同种类型的居住区域；(2)在预定地理区域为同种类型的消费区域的情况下，确定用户偏好同种类型的消费区域；(3)在预定地理区域为同种类型的工作区域的情况下，确定用户的工作内容与同种类型的工作区域具有相关性。
对应于上述用户属性分析方法，本发明实施例还提供了一种用户属性分析装置，设置为执行上述用户属性分析方法。
图2是根据本发明实施例的用户属性分析装置的结构框图，如图2所示，该装置可以包括：采集模块10和处理模块20。其中，采集模块10，设置为在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息；处理模块20，连接至采集模块10，设置为判断驻留信息是否达到预定的驻留信息标准，在判断结果为是的情况下，确定使用移动终端的用户符合预定地理区域的用户属性。
在本发明实施例中，预定基站可以包括以下之一：位于预定地理区域周围的单个基站；由多个位于预定地理区域周围的单个基站组成的逻辑基站。通过这样的方式，可以对服务于预定地理区域的基站的个数进行灵活调整，一方面为了使与预定地理区域相关的基站尽量采集更多与相关移动终端的驻留信息，另一方面，还要避免基站由于采集用户的驻留信息而对用户的其它数据通信业务、语音业务等造成不必要的影响。
进一步地，预定地理区域可以包括以下之一：同种类型的居住区域、同种类型的消费区域、同种类型的工作区域。通过对预定地理区域的种类进行划分，可以使预定基站能够更广范围的采集多种场景下的移动终端的驻留信息，使得对用户群的分析更加细化，更加多样化。
为方便理解上述实施例的实现过程，下面结合图3至图5以及优选实施例对上述实施例提供的用户属性分析方法及装置进行更加详细的描述。
在进行详细描述之前，先对本发明优选实施例解决其技术问题的思路进行以下简单介绍：
本发明优选实施例可以通过准确地对移动终端用户在预定去预定区域的驻留信息来对用户进行细分，例如，可以将居住社区作为预定区域对用户的居住属性进行判断，从而确定用户是否居住在上述居住社区，更进一步地，还可以对用户的上班场所、消费场所等多种类型的区域进行用户行为分析，以确定用户是否满足这些区域中的用户属性。具体地讲，通过本发明优选实施例，能够做到对用户进行收入判断、生活圈判断、家庭用户判定等分析，进而可以为业务推广提供更多依据，方便众多商家进行精准营销，从而降低营销成本。
为了解决本申请的技术问题并达到上述技术效果的目的，这里以居住社区为例对用户进行细分的过程进行描述，通过居住社区对用户进行细分的实现过程可以采用以下的方式：
首先，根据基站位置的经纬度信息，在GIS电子地图上进行匹配，定位与该基站对应的居住社区，把各基站与用户的居住社区建立映射对应关系。然后，从移动运营商信令采集系统采集夜晚时段(晚10时～第二天凌晨5时这段时间)所有移动终端注册的基站位置及驻留时长。接下来，经过计算把移动终端用户进行基于社区的细分。最后，利用基于社区的细分结果可以进行收入判断、生活圈判断、家庭用户判定等分析，为业务推广提供更多依据。进一步地，还可以进行基于购物场所(即上述消费区域)对用户的偏好进行细分，还可以基于办公地点(即上述工作区域)对用户进行细分。
优选实施例
图3是根据本发明一个优选实施例的对移动终端用户进行居住社区细分的方法流程图，如图3所示，该流程包括以下步骤：
步骤S301、根据基站位置的经纬度坐标在GIS电子地图上进行匹配查找，把基站与各居住社区建立对应关系，可以采取单个独立的基站，也可以把属于同一社区的多个基站划分为一个逻辑基站，从而实现一个逻辑基站对应一个居住社区。
步骤S302、采集并存储指定时间段的每天晚间(例如，晚10时～第二天凌晨5时)的终端移动用户的泊点信息(即上述驻留信息)，采集的泊点信息至少包括该终端用户的标识、该终端用户在该泊点停留的开始时间、在该泊点停留的结束时间以及该泊点对应的基站编号。另外，在上述指定时间段可以是三个月、六个月、一年，甚至更长的时间段。
步骤S303、统计汇总指定时间段内同一用户的，同一天的，晚间(晚10时～第二天凌晨5时)这段时间的，按照属于同一逻辑基站的记录对驻留时长进行汇总，计算出该用户该天晚间在该居住社区驻留的总时长。
步骤S304、统计汇总指定时间段内每天每个用户驻留在该居住社区的时长与该天晚间总时长(晚10时～第二天凌晨5时)的比率大于50％的天数。
步骤S305、判断每个用户上述的天数(步骤S304计算得到的天数)与指定的时间段内的总的天数的比率是否大于50％。
步骤S306、如果步骤S305计算得到的结果大于50％，则可以判定该用户属于居住在该社区。
步骤S307、如果步骤S305计算得到的结果不大于50％，则可以判定该用户不属于居住在该社区。
步骤S308、把数据库中所有的用户数据都按照步骤S304～步骤S307处理完成后，即完成了对移动终端用户按照居住社区进行的细分。
图4是根据本发明另一个优选实施例的对移动终端用户进行居住社区细分的方法流程图，
如图4所示，该流程包括：
步骤S401、根据基站位置的经纬度坐标在GIS电子地图上进行匹配，把基站与各居住社区建立对应关系，可以采取单个独立的基站，也可以把属于同一社区的多个基站划分为一个逻辑基站，从而实现一个逻辑基站对应一个居住社区。
步骤S402、采集并存储指定时间段的每天晚间(晚10时～第二天凌晨5时)的终端移动用户的泊点信息(即上述驻留信息)，采集的泊点信息至少包括：该终端用户的标识、该终端用户在该泊点停留的开始时间、在该泊点停留的结束时间和该泊点对应的基站编号。另外，上述指定时间段可以是三个月、六个月、一年，甚至更长的时间段。
步骤S403、统计汇总指定时间段内同一用户的，同一天的，晚间(晚10时～第二天凌晨5时)这段时间的，按照属于同一逻辑基站的记录把驻留时长进行汇总，计算出该用户该天晚间在该居住社区驻留的总时长。
步骤S404、判断数据库中是否还有未处理的用户记录数据，如果有记录数据，就读取数据库中的用户数据记录，转到步骤S405；如果没有记录数据，转到步骤S408。
步骤S405、统计汇总指定时间段内每天每个用户驻留在该居住社区的时长与该天晚间总时长(晚10时～第二天凌晨5时)的比率大于50％的天数。
步骤S406、判断每个用户上述的天数(步骤S405计算得到的天数)与指定的时间段内的总的天数的比率是否大于50％。
步骤S407、如果步骤S406计算得到的结果大于50％，则可以判定该用户属于居住在该社区，并保存该用户信息；如果步骤S406计算得到的结果不大于50％，则转到步骤S404。
步骤S408、把数据库中所有的用户数据都按照步骤S404～步骤S407处理完成后，即完成了对移动终端用户按照居住社区进行细分的过程。
图5是根据本发明又一个优选实施例的对移动终端用户进行居住社区细分的装置结构示意图，如图5所示，该装置包括：基站与居住社区建立映射对应关系模块501，采集泊点信息模块502，存储泊点信息模块503，统计汇总模块504，分类模块505。下面就上述5个功能模块进行更进一步的说明：
基站与居住社区建立映射对应关系模块501，可以根据基站位置的经纬度信息，在GIS电子地图上进行匹配，定位与该基站对应的居住社区，把各基站与用户的居住社区建立映射对应关系，由于一个居住社区可能会对应多个基站，可以把对应同一个居住社区的多个基站组成一个逻辑基站，进而就形成了一个居住社区对应一个逻辑基站。
采集泊点信息模块502，可以采集存储终端用户在指定时间段内每天晚10时～第二天凌晨5时这段时间的泊点信息(也可称为位置信息或驻留点信息，即上述驻留信息)，采集的泊点信息至少包括该终端用户的标识、该终端用户在该泊点停留的开始时间、在该泊点停留的结束时间和该泊点对应的基站编号。另外，上述时间段可以是三个月、六个月、一年，甚至
更长的时间段。
存储泊点信息模块503，可以把采集的泊点信息数据经过清洗、过滤后按照一定的格式存储在数据库中。
统计汇总模块504，具体操作就是把同一用户的，同一天的，晚10时～第二天凌晨5时这段时间的泊点信息数据记录，按照基站编号相同的记录把驻留时长进行汇总，进一步地，再把属于同一个逻辑基站的各个基站的数据记录把驻留时长再进行汇总，这样可以计算出每个移动终端用户在该居住社区驻留的时长。
分类模块505，可以计算出指定的时间段内，每个用户，每天晚10时～第二天凌晨5时，驻留该居住社区的时长/该天晚间总时长(晚10时～第二天凌晨5时)×100％的结果大于50％的天数，与上述指定的时间段内的总的天数的比率是否大于50％，如果该用户的最终计算结果大于50％，就可以判断该用户居住在该社区，否则，该用户不居住在该社区。进一步地，把汇总后的数据库中所有的用户数据记录，都按照上述算法计算后，这样实现了对移动终端用户按照居住社区进行细分的过程。
下面结合实施例1对按照居住社区对用户进行细分的过程进行描述。
实施例1
步骤1、根据基站位置的经纬度坐标在GIS电子地图上进行匹配查找，把基站与各居住社区建立对应关系，可以把属于同一社区的多个基站划分为一个逻辑基站，实现一个逻辑基站对应一个居住社区。
步骤2、采集并存储指定时间段的每天晚间(晚10时～第二天凌晨5时)的终端移动用户的泊点信息(即上述驻留信息)，采集的泊点信息至少包括该终端用户的标识、该终端用户在该泊点停留的开始时间、在该泊点停留的结束时间和该泊点对应的基站编号。另外，上述指定时间段可以是三个月、六个月、一年，甚至更长的时间段。
步骤3、统计汇总指定时间段内同一用户的，同一天的，晚间(晚10时～第二天凌晨5时)这段时间的，按照属于同一逻辑基站的记录把驻留时长进行汇总，计算出该用户该天晚间在该居住社区驻留的总时长。
步骤4、读取步骤3汇总后的数据库记录，判断数据库中是否还有未处理的用户记录数据，如果有记录数据，就读取数据库中的用户数据记录，并转到步骤5；如果没有记录数据，转到步骤8。
步骤5、统计汇总指定时间段内每天每个用户驻留在该居住社区的时长与该天晚间总时长(晚10时～第二天凌晨5时)的比率大于50％的天数。
步骤6、判断每个用户上述的天数(步骤5计算得到的天数)与指定的时间段内的总的天数的比率是否大于50％。
步骤7、如果步骤6计算得到的结果大于50％，则可以判定该用户属于居住在该社区，并
保存该用户信息，转到步骤8；如果步骤6计算得到的结果不大于50％，则转到步骤4。
步骤8、把数据库中所有的用户数据都按照步骤4～步骤7处理完成后，即完成了对移动终端用户按照居住社区进行细分的过程。
下面结合实施例2对移动终端用户的购物场所偏好进行细分的过程进行描述。
实施例2
步骤1、根据基站位置的经纬度坐标在GIS电子地图上进行匹配查找，把基站与各购物场所建立对应关系，可以采取单个独立的基站，也可以把属于同一个购物场所的多个基站划分为一个逻辑基站，从而实现一个逻辑基站对应一个购物场所。
步骤2、采集并存储指定时间段的每天(上午10时～晚上10时)的终端移动用户的泊点信息，采集的泊点信息至少包括该终端用户的标识、该终端用户在该泊点停留的开始时间、在该泊点停留的结束时间和该泊点对应的基站编号。另外，上述的指定时间段，可以是三个月、六个月、一年，甚至更长的时间段。
步骤3、统计汇总指定时间段内同一用户的，同一天的，每天(上午10时～晚上10时)这段时间的，按照属于同一逻辑基站的记录把驻留时长进行汇总，计算出该用户该天(上午10时～晚上10时)这段时间内在该购物场所驻留的总时。
步骤4、读取步骤3汇总后的数据库记录，判断数据库中是否还有未处理的用户记录数据，如果有记录数据，就读取数据库中的用户数据记录，并转到步骤5；如果没有记录数据，转到步骤8。
步骤5、统计汇总指定时间段内每天每个用户驻留在该购物场所的时长大于30分钟的天数。
步骤6、统计汇总每个用户上述的天数(步骤5计算得到的天数)与指定的时间段内的总的天数的比率。
步骤7、过滤掉步骤6计算的比率结果大于50％的数据记录，进一步地，按照步骤6计算的结果按照倒序进行排序，这样可以计算出排序靠前的记录中的购物场所为该用户偏好的购物场所。
步骤8、把数据库中所有的用户数据都按照步骤4～步骤7处理完成后，即完成了对移动终端用户偏好的购物场所进行细分的过程。
下面结合实施例3对移动终端用户按照办公地点细分的过程进行描述。
实施例3
步骤1、根据基站位置的经纬度坐标在GIS电子地图上进行匹配查找，把基站与各工作地点建立对应关系，可以采取单个独立的基站，也可以把属于同一工作地点的多个基站划分为一个逻辑基站，从而实现一个逻辑基站对应一个工作地点。
步骤2、采集并存储指定时间段的每天白天(上午9时～下午5时)的终端移动用户的泊点信息，采集的泊点信息至少包括该终端用户的标识、该终端用户在该泊点停留的开始时间、在该泊点停留的结束时间和该泊点对应的基站编号。另外，上述的指定时间段，可以是三个月、六个月、一年，甚至更长的时间段。
步骤3、统计汇总指定时间段内同一用户的，同一天的，白天(上午9时～下午5时)这段时间的，按照属于同一逻辑基站的记录把驻留时长进行汇总，计算出该用户该天(上午9时～下午5时)在该工作地点驻留的总时长。
步骤4、读取步骤3汇总后的数据库记录，判断数据库中是否还有未处理的用户记录数据，如果有记录数据，就读取数据库中的用户数据记录，并转到步骤5；如果没有记录数据，转到步骤8。
步骤5、统计汇总指定时间段内每天每个用户驻留在该工作地点的时长与该天总时长(上午9时～下午5时)的比率大于50％的天数。
步骤306、判断每个用户上述的天数(步骤5计算得到的天数)与指定的时间段内的总的天数的比率是否大于50％。
步骤7、如果步骤6计算得到的结果大于50％，则可以判定该用户在该办公地点工作，属于该公司职员，并保存该用户信息，转到步骤8；如果步骤6计算得到的结果不大于50％，则转到步骤4。
步骤8、把数据库中所有的用户数据都按照步骤4～步骤7处理完成后，即完成了对移动终端用户办公地点进行细分的过程，从而可以判断其职业情况。
通过上述优选实施例的实现过程可以看出，其具有如下四个优点：
(1)无论终端用户使用的是功能机还是智能机，也无需用户配合做某些特殊操作(如使用手机上网)都可以完成数据的采集，这样数据采集的更加全面完整；
(2)终端用户的分类是根据终端用户的行为来进行细分的，根据做过的事情来分类肯定要比根据看过的东西(DPI分类浏览网页的分类方法)来分类要准确；
(3)就是可以把终端用户根据居住地等比较隐私的信息进行分类，这种分类对于通过DPI分析方法是很难做到的分类，然而通过DPI网页日志是无法获取居住地这些信息的；
(4)相比现有利用分析网页的技术方案实施成本低，效率高，这是因为网页不仅数量巨大而且复杂(非结构化数据)，而且远远大于需要分析的泊点的数据量，这造成无论存储成本还是分析成本都会成倍上升。
本发明的实施例或优选实施例，能够帮助商家精准定位其客户群体，对商家来说面对不断高涨的媒体价格，精准营销继续是企业关注的重点，所以对于运营商来说，充分利用自身优势可以为众多商家提供信息服务将可以获取更大的商业价值。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到根据上述实施例的方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，或者网络设备等)执行本发明各个实施例所述的方法。
本发明的实施例还提供了一种存储介质。可选地，在本实施例中，上述存储介质可以包括但不限于：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。
以上所述是本发明的优选实施方式，应当指出，对于本领域的普通技术人员来说，在不脱离本发明所述原理的前提下，还可以作出若干改进和润饰，这些改进和润饰也应视为包含在本发明的保护范围之内。
如上所述，本发明实施例提供的一种用户属性分析方法及装置，具有以下有益效果：可以充分利用运营商的优势，对不同场景下使用移动终端的用户进行分类，能够判断用户的居住属性、消费属性以及工作属性，从而为众多商家提供有商业价值的信息。
Claims (10)
- 一种用户属性分析方法，包括：在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息；判断所述驻留信息是否达到预定的驻留信息标准，在判断结果为是的情况下，确定使用所述移动终端的用户符合所述预定地理区域的用户属性。
- 根据权利要求1所述的方法，其中，在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息，包括：根据预先建立的所述预定地理区域与预定基站建立之间的映射关系，通过所述预定基站获取所述驻留信息，其中，所述预定基站是位于所述预定地理区域周围的且发射信号能够覆盖所述预定地理区域的基站。
- 根据权利要求2所述的方法，其中，所述映射关系是根据所述预定基站的位置信息，在地理信息系统GIS地图上查找到所述预定基站能够服务的地理区域后，为所述预定基站和所述查找到的地理区域建立的。
- 根据权利要求2所述的方法，其中，所述预定基站包括以下之一：位于所述预定地理区域周围的单个基站；由多个位于所述预定地理区域周围的单个基站组成的逻辑基站。
- 根据权利要求1至4中任一项所述的方法，其中，所述预定地理区域包括以下之一：同种类型的居住区域、同种类型的消费区域、同种类型的工作区域。
- 根据权利要求5所述的方法，其中，所述驻留信息包括：驻留时长；判断所述驻留信息是否达到预定的驻留信息标准，包括：判断所述驻留时长是否达到预定的驻留时长阈值。
- 根据权利要求6所述的方法，其中，确定使用所述移动终端的用户符合所述预定地理区域的用户属性，包括：在所述预定地理区域为所述同种类型的居住区域的情况下，确定所述用户居住在所述同种类型的居住区域；在所述预定地理区域为所述同种类型的消费区域的情况下，确定所述用户偏好所述同种类型的消费区域；在所述预定地理区域为所述同种类型的工作区域的情况下，确定所述用户的工作内容与所述同种类型的工作区域具有相关性。
- 一种用户属性分析装置，包括：采集模块，设置为在预定时间间隔内，采集在预定地理区域内驻留过的移动终端的驻留信息；处理模块，设置为判断所述驻留信息是否达到预定的驻留信息标准，在判断结果为是的情况下，确定使用所述移动终端的用户符合所述预定地理区域的用户属性。
- 根据权利要求8所述的装置，其中，所述采集模块包括：根据预先建立的所述预定地理区域与预定基站建立之间的映射关系，通过所述预定基站获取所述驻留信息，其中，所述预定基站是位于所述预定地理区域周围的且发射信号能够覆盖所述预定地理区域的基站，所述预定基站包括以下之一：位于所述预定地理区域周围的单个基站；由多个位于所述预定地理区域周围的单个基站组成的逻辑基站。
- 根据权利要求8或9所述的装置，其中，所述预定地理区域包括以下之一：同种类型的居住区域、同种类型的消费区域、同种类型的工作区域。
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