WO2020052152A1 - Procédé, appareil et dispositif de détermination de résidence d'utilisateur et support d'informations lisible par ordinateur - Google Patents
Procédé, appareil et dispositif de détermination de résidence d'utilisateur et support d'informations lisible par ordinateur Download PDFInfo
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- WO2020052152A1 WO2020052152A1 PCT/CN2018/122720 CN2018122720W WO2020052152A1 WO 2020052152 A1 WO2020052152 A1 WO 2020052152A1 CN 2018122720 W CN2018122720 W CN 2018122720W WO 2020052152 A1 WO2020052152 A1 WO 2020052152A1
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- preset
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- 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
- H04W4/029—Location-based management or tracking services
Definitions
- the present application mainly relates to the field of positioning technology, and in particular, to a method, a device, a device, and a computer-readable storage medium for determining a resident of a user.
- the information provided directly by the user may be inaccurate, or the user refuses to provide information, and the user's economic strength needs to be collected from the side.
- the resident information such as the place where the user lives and the place where he works can reflect the economic strength of the user. For example, the user lives in a villa area in a city and works in the CBD (Central Business District) can reflect that this user has a relatively strong economic strength.
- the resident location of the user is determined according to the core points.
- a first determining module configured to determine the starting point as a core point if there is a preset number of other position information points in the position information
- the second determining module is configured to determine the resident location of the user according to the core points after all the position information points in the position information of each of the preset periods are determined as core points.
- the present application also proposes a user resident judgment device, where the user resident judgment device includes: a memory, a processor, a communication bus, and a user resident judgment stored on the memory. program;
- the communication bus is used to implement connection and communication between the processor and the memory
- the processor is configured to execute the user resident determination program to implement the following steps:
- the resident location of the user is determined according to the core points.
- the present application also provides a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, and the one or more programs can be processed by one or more processors. Performed for:
- the resident location of the user is determined according to the core points.
- the method for determining the resident location of a user by acquiring all position information of a user in each preset period, and reading any position information point in the position information from each preset period as a starting point; and determining the starting point as In the preset range of the center, whether there are other position information points in the preset number of position information in the same period as the starting point; if there are other position information points in the preset number of position information, determine this starting point as Core point; after all position information points in the position information of each preset period are judged, the resident location of the user is determined according to the core point.
- the user's other location information is distributed around the place of residence and work; from the user's location information, it is determined that each of the other locations has more points of other location information.
- Core points each of which is the central position of the user's activity, and excludes other position information points of other non-central positions; and then combines multiple preset cycles to determine the user's resident location from the core point; Resident judgments are more accurate.
- FIG. 1 is a schematic flowchart of a first embodiment of a user resident determination method of the present application
- FIG. 2 is a schematic diagram of functional modules of a first embodiment of a user resident determination device of the present application
- FIG. 3 is a schematic diagram of a device structure of a hardware operating environment involved in a method according to an embodiment of the present application
- FIG. 4 is a schematic diagram of a user resident determination method according to an embodiment of the present application.
- This application provides a method for determining the resident location of a user.
- FIG. 1 is a schematic flowchart of a first embodiment of a resident determination method for a user of this application.
- the method for determining the resident location of a user includes:
- Step S10 acquiring position information of the user in each preset period, and reading any position information point in the position information as a starting point from each of the preset periods;
- the method for determining the resident location of a user of the present application is applied to a server, and is suitable for determining the resident location of a user through the server, where the resident location of the user includes the user's residence and the user's work place.
- Server and LBS (location-based service, location service) server communication connection, or the server itself has LBS function to obtain the user's location information. Because the user's daily activities are regular, such as working between the place of residence and the place of work on a weekday; the location information of the user is correspondingly regular, centering on the place of residence and work, such as restaurants and supermarkets near the place of residence , Parking lot, Chinese restaurants, cafes, parking lots, etc. near the work place.
- the location information obtained from the positioning may include the location information of the user during the trip, such as the location information of a supermarket on the way from the residence to the work place, or the location information of a gym on the way from the residence to the work place.
- the judgment of the information on the user's resident location is interference information. Therefore, after obtaining the location information of the user, it is necessary to further determine valid location information from the location information, and the valid location information is the location information point to which the user went. Considering the location information of the user, it usually stays for a while, but for the location information of the journey, it will not stay; therefore, the effective location in the user's location information can be determined by the user's stay time in each location information Information, that is, location information points.
- a preset period is set in advance; position information of multiple preset periods is obtained to determine the resident of the user to avoid the influence of accidental factors.
- the preset period may be a day or a week, and preferably a day. All position information of the user in each preset period is acquired, and each preset period may be a working day of the week; that is, the position information corresponding to each day in the five-day preset period.
- the user's dwell time in each position information is used to determine the position information points of each preset period; and any point is selected as the resident location from the position information points in each preset period.
- the starting point of judgment For example, the location information A of the user on Monday is [a1, b1, c1, d1, e1], the location information B of Tuesday is [a1, b1, c1, d2, e1], and the location information C of Wednesday is [a1, b2, c1] , D1, e1]; and for c1 in A, c1 in B, and c1 in C, because the user stays too short and does not use it as valid location information, the valid location information on Monday, Tuesday, and Wednesday is valid.
- the position information points A1, B1, and C1 are [a1, b1, d1, e1], [a1, b1, d2, e1], and [a1, b2, d1, e1], respectively, and any of them are selected from A1, B1, and C1.
- the location information point is used as the starting point.
- a1, b1, and b2 are used as the starting point to determine the user resident locations in A1, B1, and C1.
- Step S20 Determine whether there is a preset number of other position information points in the position information within a preset range centered on the starting point to determine a core point;
- the number of locations where the user performs activities based on the resident location can be set through a plurality of determined user resident locations;
- the predetermined number of positions is used as a preset number to make a preliminary judgment of the resident location of the user.
- the location where a user performs activities centered on the resident location is p1, p2, p3, p4, and p5
- the location information points of the user's activities centered on the resident location are: 5 while other users ’activities are centered on their resident location as 7; etc .; although the number of locations active by each user is different, an average of the number of locations active by multiple users can be calculated.
- This average The value generally represents the number of locations where each user is active, and is universal; and this average value is used to preliminarily determine the preset number of user resident locations. In addition, it is considered that when the user performs activities with the resident point as the center, the range of the activity will not be too large. After setting the preset number, it is necessary to set the preset range; to prevent the range from being too large, so that there are all around the initial point With a preset number of other location information points, the resident location cannot be accurately determined; or the range is too small, so that no preset number of other location information points exist around the initial point, and the resident location cannot be determined.
- the preset range is the starting point as the center of the circle and the preset distance.
- a circular area with a length of radius Determine the longitude value range and dimensional value range in this circular area, and then determine whether the latitude and longitude information of other position information points in the location information other than the starting point is within this longitude value range and Dimension value range; if the latitude and longitude information of some other position information point is within the longitude value range and within the dimensional value range; it can be determined that this position information point is within a preset range, and then it is determined that The number of information points of all other position information points within the preset range with the starting point as the center and the same preset period as this starting point.
- Step S30 if there is a preset number of other position information points in the position information, determine the starting point as a core point;
- the step of determining the starting point as a core point includes:
- Step q1 adding a completion identifier to the starting point, and selecting a next position information point in the position information
- the starting point is determined as the core point
- a completion identifier is added to the starting point to indicate that the judgment of the starting point is completed; and the starting point of the completion judgment and other position information points are stored separately to Avoid confusion with other location information points.
- the next position information is selected from the position information to determine whether there is a preset number of other position information points within a preset range centered on the next position information point, that is, whether the next position information point is the core point.
- the selection method can be random selection or chronological selection based on the determined starting point; for random selection, one position information point is randomly selected from all the position information points as the next position information point; and For chronological selection, each position information point in the position information is generated with the user's activity time. Therefore, after selecting any position information point as the starting point at the beginning of judgment, the time of the starting point is used as the standard and the time In sequence, the position information points after or before this starting point are selected one by one as the next position information point for core point judgment.
- the position information points subjected to the determination of the core point are stored separately from the position information points subjected to the determination of the core point, it is still possible to select the position information points subjected to the determination of the core point in the process of reading the next position information point. As the next position information point. In order to avoid repeated determination of the position information point that is subjected to the core point judgment operation as the next position information point, before performing the core point judgment on the selected next position information point, first determine whether the selected next position information point has been carried.
- the next position information point is set as a new starting point, and it is determined whether there exists within a preset range centered on the new starting point.
- a preset number of other location information points in the location information are used to determine whether this new starting point is the core point of the user's centered activity. Because the position information points with the core point judgment and the position information points without the core point judgment are stored separately, that is, the position information point data with the core point judgment is stored in a region, and the position information without the core point judgment is stored. Point data is stored in another area.
- the method for determining the resident location of a user by acquiring all position information of a user in each preset period, and reading any position information point in the position information from each preset period as a starting point; and determining the starting point as In the preset range of the center, whether there are other position information points in the preset number of position information in the same period as the starting point; if there are other position information points in the preset number of position information, determine this starting point as Core point; after all position information points in the position information of each preset period are judged, the resident location of the user is determined according to the core point.
- the step of determining the user resident location according to the core point includes:
- Step S31 dividing the preset period into a first preset time period and a second preset time period
- the residence and work place included in the user's resident location are time-bound, corresponding to different time periods in the preset period with days; for example, the residence place corresponds to the evening time period in the preset period.
- the work place corresponds to the day time period in the preset period; thus, in order to determine the residence and work place, the preset period is divided into a first preset time period and a second preset time period, where the first preset time period corresponds to The evening time period, such as 9 pm to 8 am; the second preset time period corresponds to the day time period, such as 9 am to 8 pm, etc.
- the two can also be interchanged, which is not limited; this embodiment It is described that the first preset time period corresponds to the night time period, and the second preset time period corresponds to the day time period. By dividing the preset period into time periods, it is convenient to determine the user's residence and work place according to the core points located in the first preset time period and the second preset time period.
- Step S32 Determine a first core point corresponding to the first preset time period in each of the preset periods according to a generation time of the core point in each of the preset periods, and determine a first core point corresponding to the second preset period. Set a second core point corresponding to the time period;
- each location information point in the location information is generated along with the user's activity time, and a time identifier representing the user's activity time is carried during the generation, the core point determined from the location information point and a certain period of a preset period Corresponding to a time, it also carries a time mark that characterizes this time. After the core point of each preset period is determined, the time mark carried in each core point is read, and the time generated by each core point in each preset period can be determined according to the time mark.
- each preset period is divided into a first preset time period and a second preset time period
- the core points generated at different times may belong to the first preset time period or the second preset time period; Compare the time generated by the core point with the first preset time period and the second preset time period to determine the core point where the generation time is in the first preset time period and the generation time in the second preset time period The core point.
- the core point of the generation time in each cycle in the first preset time period is taken as the first core point corresponding to the first preset time period, and the core point of the generation time in each cycle is in the second preset time period. As a second core point corresponding to the second preset time period.
- the position information of each preset period may include multiple core points, or may have only one core point, or may not include core points. Because the resident point involves two types of place of residence and work, the core point includes at least two.
- multiple core points When multiple core points are included, it can be divided into the first core point and the second core point according to the generation time of each core point; in exceptional cases, multiple core points may be generated at a preset time, such as when the user is more active during the day Less, so that when multiple core points are generated in the first preset time period, only the first core point can be determined from the multiple core points, but the second core point cannot be determined; Among all the position information points in the time period, the position information points having the most other position information points in the preset range are determined, and this position information point is used as the second core point in the second preset time period.
- Step S33 Determine the resident location of the user according to the number of other location information points of each of the first core point and each of the second core points in each of the preset cycles, where the resident location includes Place of residence and work.
- the number of other location information points in the range is greater than the preset number, but the number of other location information points in the specific are inconsistent, some are larger than the preset number, and some are larger than the preset number.
- the first core point or the second core point with a larger number than the preset number it can be explained that the user performs frequent activities with the first core point or the second core point as the center, and the first core point or the second core point can be accurate Reflects the user's resident location.
- the number of other location information points of each first core point in each preset period is compared, and the first core point having the largest number of other location information points in each preset period is determined, and the first core point is determined. Determined as the target first core point in each preset period.
- preset periods w1, w2, and w3 please refer to FIG. 4, where the first core point of w1 includes [n1, n2, n3], and the number of other position information points that n1 has within the preset range is 5, n2 The number of other position information points in the preset range is 6, and the number of other position information points in n3 is 5.
- the target first core point of the preset period w1 can be determined to be n2.
- the target first core point of the preset period w2 and the target first core point of the preset period w3 can be determined accordingly.
- Step S332 comparing the number of the other position information points in each of the second core points in each of the preset periods to determine a target number of the other position information points with the largest number of other position information points in each of the preset periods.
- the target first core point of w2 is n2 and n3, and the target second core point is k1
- the target first core point of w3 is n1, and the target second core point is k2; because n2 is the target first core point in the preset periods w1 and w2, respectively, the proportion of the number is greater than n1 and n3, so that n2 corresponds to
- the location is determined as the user's place of residence, and the location corresponding to k1 is determined as the user's place of work; it is achieved that the user's place of residence and work place are determined by the target first core point and the target second core point in each preset period.
- the step of the core point determining the work place of the user includes:
- step p1 it is determined whether the target first core points in each of the preset cycles are consistent. If the target first core points in each of the preset cycles are consistent, it will be the same as the target first The location information point corresponding to the core point is determined as the residence of the user;
- the first core point with the largest number of targets is further determined.
- the essence of the first core point with the largest number of targets is the first core point with the largest proportion of various target first core points among all target first core points. ; This number has the largest proportion, which means that the more times a user goes to the location around the first core point of the target within a preset period, the user has the highest probability of activities with this target first core point as the center, so that the most consistent number of The target first core point determines the user's residence.
- step p3 it is determined whether the target second core points in each of the preset periods are consistent. If the target second core points in each of the preset periods are consistent, it will be the same as the target second core point.
- the location information point corresponding to the core point is determined as the working place of the user;
- Step p4 if the target second core points are not uniform in each of the preset periods, determine the target second core point with the most consistent number, and compare it with the target second core with the most consistent number The point corresponding to the location information point is determined as the working place of the user.
- the second core point with the largest number of targets is further determined.
- the essence of the second core point with the largest number of targets is the target second core point with the largest proportion of various target second core points among all target second core points. ; This number accounts for the largest proportion, which indicates that the more times a user goes to the target second core point in a preset period, the user has the highest probability of activities with this target second core point as the center, so that the most consistent number of The target second core point determines where the user works.
- consistency statistics are performed on the target second core points in all preset periods to determine the number of various target second core points.
- this target second core point is the most frequent time for the user to go to its surrounding locations, which can be determined as the user's work place. Since the target second core point is essentially the position information point in the user's position information, the position information point corresponding to the target second core point with the most consistent number can be determined as the user's work place to achieve the user's work place. determine.
- the obtaining module 10 is configured to obtain all position information of a user in each preset period, and read any position information point in the position information as a starting point from each of the preset periods;
- a first determining module 30, configured to determine the starting point as a core point if there is a preset number of other position information points in the position information;
- the resident determination device of this embodiment obtains all position information of the user in each preset period through the acquisition module 10, and reads any position information point in the position information from each preset period as a starting point;
- the module 20 determines whether there are other position information points in a preset number of position information in a preset range centered on the starting point and within the same period as the starting point; if there are other position information points in the preset number of position information, Then, the first determining module 30 determines this starting point as the core point; after all position information points in the position information of each preset period are judged, the second determining module 40 determines the user resident location according to the core point.
- the user's other location information is distributed around the place of residence and work; from the user's location information, it is determined that each of the other locations has more points of other location information.
- Core points each of which is the central position of the user's activity, and excludes other position information points of other non-central positions; and then combines multiple preset cycles to determine the user's resident location from the core point; Resident judgments are more accurate.
- the above-mentioned storage media may be a read-only memory, a magnetic disk, or an optical disk.
- FIG. 3 is a schematic diagram of a device structure of a hardware operating environment involved in the method according to the embodiment of the present application.
- the resident judgment device may be a PC (personal computer, personal computer). ), Or a terminal device such as a smart phone, tablet, e-book reader, or portable computer.
- the user resident judgment device may include a processor 1001, such as a CPU (Central Processing Unit (central processing unit), memory 1005, and communication bus 1002.
- the communication bus 1002 is used to implement connection and communication between the processor 1001 and the memory 1005.
- the memory 1005 may be a high-speed RAM (random access memory (random access memory) or non-volatile memory memory), such as disk storage.
- the memory 1005 may optionally be a storage device independent of the foregoing processor 1001.
- the structure of the user resident judgment device shown in FIG. 3 does not constitute a limitation on the user resident judgment device, and may include more or fewer components than shown, or a combination of some Components, or different component arrangements.
- the memory 1005 as a computer-readable storage medium may include an operating system, a network communication module, and a user resident determination program.
- the operating system is a program that manages and controls the hardware and software resources of the user's resident judgment device, and supports the operation of the user's resident judgment program and other software and / or programs.
- the network communication module is used to implement communication between components in the memory 1005, and to communicate with other hardware and software in the user's resident judgment device.
- the processor 1001 is configured to execute a user resident determination program stored in the memory 1005 to implement the steps in each embodiment of the user resident determination method described above.
- the present application provides a computer-readable storage medium.
- the computer-readable storage medium stores one or more programs, and the one or more programs can also be executed by one or more processors for implementing the foregoing.
- the steps in the various embodiments of the user resident determination method are not limited to one or more programs, and the one or more programs, and the one or more programs can also be executed by one or more processors for implementing the foregoing. The steps in the various embodiments of the user resident determination method.
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Abstract
L'invention concerne un procédé, un appareil et un dispositif de détermination de résidence d'utilisateur et un support d'informations lisible par ordinateur. Ledit procédé consiste : à acquérir toutes les informations de position d'un utilisateur dans des périodes prédéfinies et à lire tout point d'informations de position à partir des informations de position dans chaque période prédéfinie en tant que point de départ (S10) ; dans une plage prédéfinie, le point de départ se trouvant en tant que centre, à déterminer s'il existe un nombre prédéfini d'autres points d'informations de position dans les informations de position dans la même période, de façon à effectuer une détermination de point central (S20) ; si le nombre prédéfini d'autres points d'informations de position dans les informations de position existe, à déterminer le point de départ en tant que point central (S30) ; et après que la détermination de point central est effectuée sur tous les points d'information de position dans les informations de position des périodes prédéfinies, à déterminer une résidence de l'utilisateur selon des points centraux (S40). Sur la base d'une analyse de mégadonnées, la présente invention permet de déterminer des points centraux comprenant de nombreux autres points d'informations de position à partir d'informations de position et d'exclure les autres points d'informations de position, et en combinaison d'une pluralité de périodes prédéfinies, de déterminer une résidence d'un utilisateur à partir des points centraux, de façon à déterminer de manière précise une résidence de l'utilisateur.
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CN201811071426.0A CN109672715A (zh) | 2018-09-13 | 2018-09-13 | 用户常驻地判断方法、装置、设备及计算机可读存储介质 |
CN201811071426.0 | 2018-09-13 |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103052022A (zh) * | 2011-10-17 | 2013-04-17 | 中国移动通信集团公司 | 基于移动行为的用户稳定点发现方法和系统 |
CN104602183A (zh) * | 2014-04-22 | 2015-05-06 | 腾讯科技(深圳)有限公司 | 群组定位方法和系统 |
CN105302916A (zh) * | 2015-11-16 | 2016-02-03 | 北京百度网讯科技有限公司 | 信息推荐的方法及装置 |
CN106101224A (zh) * | 2016-06-12 | 2016-11-09 | 腾讯科技(深圳)有限公司 | 识别用户所在地理位置的类别的方法及装置 |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
ES2400778B1 (es) * | 2010-11-30 | 2014-02-12 | Telefónica, S.A. | Método para la localización residencial de usuarios de teléfono móvil |
CN104252527B (zh) * | 2014-09-02 | 2018-04-20 | 百度在线网络技术(北京)有限公司 | 一种确定移动用户的常驻点信息的方法和装置 |
CN106792514B (zh) * | 2016-11-30 | 2020-10-30 | 南京华苏科技有限公司 | 基于信令数据的用户职住地分析方法 |
CN106934696A (zh) * | 2017-03-15 | 2017-07-07 | 深圳大学 | 一种基于用户地理位置信息的产品推荐方法及系统 |
CN107515890A (zh) * | 2017-07-04 | 2017-12-26 | 深圳市金立通信设备有限公司 | 一种识别常驻点的方法及终端 |
CN107547633B (zh) * | 2017-07-27 | 2021-09-03 | 腾讯科技(深圳)有限公司 | 一种用户常驻点的处理方法、装置和存储介质 |
CN107484134B (zh) * | 2017-10-17 | 2020-05-15 | 南京市城市与交通规划设计研究院股份有限公司 | 常驻位置分析方法及装置 |
CN108011928A (zh) * | 2017-11-10 | 2018-05-08 | 深圳市金立通信设备有限公司 | 一种信息推送方法、终端设备及计算机可读介质 |
CN108122012B (zh) * | 2017-12-28 | 2020-11-24 | 百度在线网络技术(北京)有限公司 | 常驻点中心点的确定方法、装置、设备及存储介质 |
-
2018
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- 2018-12-21 WO PCT/CN2018/122720 patent/WO2020052152A1/fr active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103052022A (zh) * | 2011-10-17 | 2013-04-17 | 中国移动通信集团公司 | 基于移动行为的用户稳定点发现方法和系统 |
CN104602183A (zh) * | 2014-04-22 | 2015-05-06 | 腾讯科技(深圳)有限公司 | 群组定位方法和系统 |
CN105302916A (zh) * | 2015-11-16 | 2016-02-03 | 北京百度网讯科技有限公司 | 信息推荐的方法及装置 |
CN106101224A (zh) * | 2016-06-12 | 2016-11-09 | 腾讯科技(深圳)有限公司 | 识别用户所在地理位置的类别的方法及装置 |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111797181A (zh) * | 2020-05-26 | 2020-10-20 | 北京城市象限科技有限公司 | 用户职住地的定位方法、装置、控制设备及存储介质 |
CN111797181B (zh) * | 2020-05-26 | 2023-09-05 | 北京城市象限科技有限公司 | 用户职住地的定位方法、装置、控制设备及存储介质 |
CN112613530A (zh) * | 2020-11-23 | 2021-04-06 | 北京思特奇信息技术股份有限公司 | 基于自适应密度聚类算法的小区住户识别方法和系统 |
CN114363825A (zh) * | 2021-05-26 | 2022-04-15 | 科大国创云网科技有限公司 | 一种基于mr常驻地的建筑物属性识别方法及系统 |
CN114363825B (zh) * | 2021-05-26 | 2023-08-29 | 科大国创云网科技有限公司 | 一种基于mr常驻地的建筑物属性识别方法及系统 |
CN115103315A (zh) * | 2022-06-21 | 2022-09-23 | 智慧足迹数据科技有限公司 | 用户常驻地识别方法、装置、电子设备及可读存储介质 |
CN117252633A (zh) * | 2023-11-20 | 2023-12-19 | 深圳联友科技有限公司 | 一种基于车联网数据的工作地识别的营销方法及系统 |
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