WO2018210351A1 - 一种用于推荐用户的方法与设备 - Google Patents

一种用于推荐用户的方法与设备 Download PDF

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Publication number
WO2018210351A1
WO2018210351A1 PCT/CN2018/088990 CN2018088990W WO2018210351A1 WO 2018210351 A1 WO2018210351 A1 WO 2018210351A1 CN 2018088990 W CN2018088990 W CN 2018088990W WO 2018210351 A1 WO2018210351 A1 WO 2018210351A1
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Prior art keywords
user
record information
area
wireless access
target
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PCT/CN2018/088990
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English (en)
French (fr)
Inventor
肖树山
王飞
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上海掌门科技有限公司
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Publication of WO2018210351A1 publication Critical patent/WO2018210351A1/zh
Priority to US16/687,723 priority Critical patent/US20200082285A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/906—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9536—Search customisation based on social or collaborative filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking

Definitions

  • the present application relates to the field of communications, and in particular, to a technique for recommending users.
  • a method for recommending a user includes: determining, according to connection record information of a target user to connect to a wireless access point, a matching user corresponding to the target user, where The target user has at least one identical active area with the matching user or at least one identical wireless access point is connected; the matching user is provided to the target user.
  • a device for recommending a user comprising: a processor; and a memory arranged to store computer executable instructions that, when executed, cause The processor performs the method as described above.
  • a user dividing method includes: determining, according to connection record information of a target user to connect to a wireless access point, area activity record information of the target user; Recording information, determining a matching user corresponding to the target user, the target user and the matching user composing one or more user sets, wherein the target user and the matching user have at least one same active area.
  • an apparatus for user partitioning comprising: a processor; and a memory arranged to store computer executable instructions that, when executed, cause The processor performs the method as described above.
  • a computer readable medium comprising instructions which, when executed, cause a system to perform the operations of the method as described above.
  • the present application determines the regional activity record information of the target user according to the connection record information of the target user to connect to the wireless access point, and determines the matching user corresponding to the target user based on the overlap of the active areas of different users. Then, the matching user is provided to the target user; the application performs user recommendation based on the connection record information of the user connecting the wireless access point, helps the user to expand the related social relationship chain, and improves the user experience. Further, the present application determines the matching user corresponding to the target user according to the regional activity record information of the target user, and combines multiple user matching rules; the application can classify the user according to multiple flexible user matching rules, thereby further Good user recommendations to optimize the user experience.
  • FIG. 1 shows a flow chart of a method for recommending a user according to an embodiment of the present application
  • FIG. 2 shows a flow chart of a user partitioning method according to another embodiment of the present application.
  • the terminal, the device of the service network, and the trusted party each include 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-transitory, removable and non-removable media; computer readable media can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • the storage medium of the computer can be used to store information that can be accessed by the computing device, examples of which 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), EEPROM, Flash Memory or other memory technology, CD-ROM, digital A versatile disc (DVD) or other optical storage, magnetic cassette, tape storage or other magnetic storage device or any other non-transportable medium.
  • 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 compact disc
  • DVD digital A versatile disc
  • the device 1 and the device 2 referred to in the present application include, but are not limited to, a user device, a network device, or a device formed by integrating a user device and a network device through a network.
  • the user equipment includes, but is not limited to, any mobile electronic product that can interact with the user, such as a smart phone, a tablet computer, etc., and the mobile electronic product can adopt any operating system, such as an android operating system and an iOS operating system. , Windows operating system, etc.
  • the network device includes an electronic device capable of automatically performing numerical calculation and information processing according to an instruction set or stored in advance, and the hardware includes but is not limited to a microprocessor, an application specific integrated circuit (ASIC), and programmable logic.
  • ASIC application specific integrated circuit
  • the network device includes, but is not limited to, a computer, a network host, a single network server, a plurality of network server sets, or a plurality of servers; wherein the cloud is composed of a large number of computers or network servers based on Cloud Computing.
  • cloud computing is a kind of distributed computing, a virtual supercomputer composed of a group of loosely coupled computers.
  • the network includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a VPN network, a wireless ad hoc network (Ad Hoc network), and the like.
  • the device 1 and the device 2 may also be operated on the user equipment, the network device, or the user equipment and the network device, the network device, the touch terminal, or the network device and the touch terminal integrated through the network. program of.
  • FIG. 1 shows a flow chart of a method for recommending a user, in accordance with an embodiment of the present application, wherein the method includes steps S11 and S12.
  • step S11 the device 1 determines the matching user corresponding to the target user according to the connection record information of the target user connecting the wireless access point, wherein the target user and the matching user have at least one same active area. Or at least one of the same wireless access points is connected; in step S12, the device 1 provides the matching user to the target user.
  • a cloud server of a specific application stores connection record information of a plurality of users connected to the wireless access point using the specific application (for example, connecting a wireless access point at a certain time) .
  • the device 1 may connect the connection record information of the wireless access point according to the multiple users (including the target user and the matching user), determine the active area of the user, and classify the plurality of users accordingly. , forming one or more user sets.
  • the device 1 may connect the connection record information of the wireless access point according to multiple users (including the target user and the matching user) to determine whether different users have connected to the same wireless access point, thereby Classify to form one or more user sets.
  • a user may belong to a set of users or belong to multiple sets of users at the same time.
  • connection record information of the user connecting to the wireless access point includes, but is not limited to, the start and end time information or the connection duration information of the user connected to the wireless access point; the connection record information may be directly read from the third party device, or may be 1 Obtaining in real time from a large number of wireless connection logs, for example, matching multiple pieces of wireless of the user equipment from a large number of wireless connection logs according to device identification information of the user equipment used by the user (for example, MAC address information of the user equipment) The connection log (for example, the start and end time of the user equipment connected to a wireless access point, etc.), and the statistics of the wireless connection logs are processed to obtain the connection record information of the wireless connection point of the user.
  • device 1 recommends other users within the user set to users within the user set. Preferably, the user can choose whether to allow the recommendation and whether to accept the recommendation.
  • the device 1 provides the set of users to users within the set of users that are allowed to be recommended.
  • the device 1 may determine the matching user corresponding to the target user directly according to the connection record information, and the number of the matching users may be one or more, and then the device 1 The matching user is recommended to the target user.
  • the device 1 determines the area activity record information of the target user according to the connection record information of the target user connection wireless access point; and determines the matching user corresponding to the target user according to the area activity record information, Wherein, the target user and the matching user have at least one same active area.
  • the wireless router corresponding to the wireless access point generally has a fixed geographical location, and the user equipment can connect to the corresponding wireless access point within a certain range near the wireless router. If the user equipment carried by the user is in a connected state with the wireless access point W at the time T, the area to which the wireless access point W belongs may be determined as the active area of the user at the time T. Therefore, the device 1 can determine the regional activity record information of the target user according to the connection record information of the target user connecting to the wireless access point.
  • the device 1 determines the area activity record information of the target user according to the connection record information of the target user connecting the wireless access point, including: the connection record information of the device 1 connecting the wireless access point according to the target user, and the wireless access point.
  • the area to which it belongs, the area activity record information of the target user is determined.
  • an area to which the wireless access point belongs may be determined according to an IP address of the wireless access point; or a hotspot database of a specific application (for example, an application for connecting to a wireless access point) may be queried, and the The area to which the wireless access point belongs.
  • a hotspot database of a specific application for example, an application for connecting to a wireless access point
  • the device 1 determines the area activity record information of the target user according to the connection record information of the target user to connect to the wireless access point, and the area to which the wireless access point belongs, and the device 1 determines that the target user connects to the wireless access point. And connecting to the area to which each wireless access point belongs in the record information; determining the area activity record information of the target user according to the connection record information and the area to which each wireless access point belongs.
  • connection record information of the user A includes: connecting the wireless access point W1 at time T1, connecting the wireless access point W2 at time T2, connecting the wireless access point W3 at time T3, ... connecting the wireless access at time Tn Point Wn; device 1 determines the area to which the wireless access point W1, W2, W3, ... Wn belongs; further determines that user A is located in the area to which the wireless access point W1 belongs at time T1, and is located at the time of the wireless access point W2 at time T2. The area, ... is located at the time Tn in the area to which the wireless access point Wn belongs.
  • the area to which the wireless access point belongs includes at least one of the following: an area of administrative planning; and a plurality of areas into which the map is divided.
  • the area to which the wireless access point belongs may be distinguished according to the district (county), town (township), and street (village) of the administrative plan; or the map may be divided into a plurality of square areas, and based on the square area Differentiating the area to which the wireless access point belongs.
  • the device 1 determines the matching user corresponding to the target user according to the area activity record information, and the device 1 determines the matching user corresponding to the target user according to the area activity record information and the user matching rule.
  • the target user has at least one of the same active area as the matching user.
  • the user matching rule includes: the target user and the matching user have at least one same active area; for example, it is assumed that the generation rule of the user set A' includes: all users in the user set A' have gone through the area A. If the target user and the matching user have both visited the area A, the target user and the matching user meet the user matching rule.
  • the user matching rule may also include other content.
  • the user matching rule includes at least one of the following: the target user and the matching user both relate to a designated active area; the target user and the matching user have at least two identical active areas; The target user and the matching user have at least one identical active area sequence; the target user and the matching user all involve a specified active area in a target time period; the target user and the matching user are in a target time period There are at least two identical active areas; the target user and the matching user have at least one identical active area sequence within the target time period.
  • the specified active area is the area B
  • the users who have gone through the area B are classified into the same user set B'; if the target user and the matching user have gone to the area B, the target user and the The matching user meets the user matching rule.
  • the user who has gone to the area C and the area D is classified into the same user set C'D'; if the target user and the matching user both go to the area C and go to the area D, the target The user and the matching user meet the user matching rule.
  • Users who have had the active area sequence E ⁇ F ie, from area E to area F
  • the activity sequence includes E ⁇ F ⁇ E, E ⁇ F ⁇ B, C ⁇ E).
  • ⁇ F, E ⁇ D ⁇ F users can be classified into the user set E”F′); if the target user and the matching user have the active area sequence E ⁇ F, the target user matches the target
  • the user complies with the user matching rules. Assuming that the target time period is Tx (for example, it can be 8:00 to 18:00 every Monday and 10:00 to 20:00 every Saturday), the designated active area is the area G, and will go to the area G within the target time period Tx.
  • the user belongs to the same user set G'; if the target user and the matching user both go to the area G within the target time period Tx, the target user and the matching user meet the user matching rule.
  • the target time period is Ty
  • the user who has visited the area H and the area I within the target time period Ty is classified into a user set H'I'; if the target user and the matching user are both in the target time period Within the Ty, both the region H and the region I have passed, and the target user and the matching user meet the user matching rule.
  • the target time period is Tz
  • users who have had the active area sequence J ⁇ K (ie, from area J to area K) within the target time period Tz are classified into the same user set J”K' (eg, within the target time period Tz).
  • the activity sequence includes J ⁇ K ⁇ J, J ⁇ K ⁇ B, C ⁇ J ⁇ K, J ⁇ D ⁇ K, and the user can be classified into the user set J”K′); if the target user and the matching user are both If there is an active area sequence J ⁇ K within the target time period Tz, then the target user and the matching user meet the user matching rule.
  • Zhao goes to a movie theater from home every Saturday to watch a movie.
  • Qianmou who lives near Zhao’s home, goes to the movie theater from home every Saturday to watch a movie
  • Zhao and Qianmou User matching rules assume that Sun is going to a movie theater from home at 2 pm every Saturday.
  • Li who lives near Sun’s house, goes to the studio to watch movies at home around 2 pm every Saturday, then Sun someone meets the user matching rules with Lee; suppose that Zhou goes to a movie theater from home every Saturday to watch a movie, and then goes to the library after watching the movie.
  • the method further includes: the device 1 according to the connection record information of the third user connecting the wireless access point, and if the third user belongs to the matching user corresponding to the target user, providing the third user to the The target user.
  • the third user may be a new user of a specific application (for example, an application for connecting to the wireless access point), and determine whether the new user is related to the target according to the connection record information of the new user connecting the wireless access point.
  • the user matches, or the new user is placed in an existing set of users.
  • the third user may match one of the target users or may match a plurality of the target users.
  • the device 1 provides the third user to the target user according to the connection record information of the third user connecting the wireless access point, and if the third user belongs to the matching user corresponding to the target user, the method includes: The device 1 determines the area activity record information of the third user according to the connection record information of the third user connecting the wireless access point; and according to the area activity record information, if the third user belongs to the target user corresponding to the match The user provides the third user to the target user.
  • the target user has both visited the area C and the area D, the area C has a wireless access point Wc, and the area D has a wireless access point Wd; if the third user's connection record information includes The wireless access points Wc, Wd may determine that the third user has passed through the area C and the area D, and may determine that the third user belongs to the matching user corresponding to the target user.
  • connection record information includes wireless access points Wc, Wd, and the third user can be determined to go through the area C and the area D, thereby classifying the target user into the user set C'D'.
  • a device for recommending a user comprising: a processor; and a memory arranged to store computer executable instructions that, when executed, cause The processor performs the method as described above.
  • FIG. 2 illustrates a flow chart of a user partitioning method according to another embodiment of the present application, wherein the method includes steps S21 and S22.
  • step S21 the device 2 determines the area activity record information of the user according to the connection record information of the user connected to the wireless access point; in step S22, the device 2 generates one by multiple users according to the area activity record information. Or a plurality of user sets, wherein users in the same user set have at least one same active area.
  • a cloud server of a specific application (for example, an application for connecting to a wireless access point) stores connection record information of a plurality of users connected to the wireless access point using the specific application (for example, connecting a wireless access point at a certain time) .
  • the wireless router corresponding to the wireless access point generally has a fixed geographical location, and the user equipment can connect to the corresponding wireless access point within a certain range near the wireless router. If the user equipment carried by the user is in a connected state with the wireless access point W at the time T, the area to which the wireless access point W belongs may be determined as the active area of the user at the time T. Therefore, the device 2 can determine the regional activity record information of the user according to the connection record information of the user connecting the wireless access point.
  • the device 2 classifies a plurality of users according to regional activity record information of a plurality of users, and generates one or more user sets.
  • a user may belong to a set of users or belong to multiple sets of users at the same time.
  • the method further comprises a step S23 (not shown), wherein the device 2 recommends the set of users to at least one user in the set of users.
  • the generated set of users includes users u1, u2, u3, and u4; device 2 recommends the user set to user u2 therein to help user u2 establish offline with other users (eg, u1, u3, or u4) in the user set.
  • Social interaction e.g, u1, u3, or u4
  • the device 2 determines the area activity record information of the user according to the connection record information of the user connected to the wireless access point, including: the connection record information of the device 2 according to the connection of the wireless access point by the user, and the area to which the wireless access point belongs. , determine the user's regional activity record information.
  • an area to which the wireless access point belongs may be determined according to an IP address of the wireless access point; or a hotspot database of a specific application (for example, an application for connecting to a wireless access point) may be queried, and the The area to which the wireless access point belongs.
  • a hotspot database of a specific application for example, an application for connecting to a wireless access point
  • the device 2 determines the area activity record information of the user according to the connection record information of the user connected to the wireless access point and the area to which the wireless access point belongs, and the device 2 determines that the connection record information of the user connected to the wireless access point is determined.
  • connection record information of the user A includes: connecting the wireless access point W1 at time T1, connecting the wireless access point W2 at time T2, connecting the wireless access point W3 at time T3, ... connecting the wireless access at time Tn Point Wn; device 2 determines the area to which the wireless access point W1, W2, W3, ... Wn belongs; and further determines that user A is located in the area to which the wireless access point W1 belongs at time T1, and is located at the time of the wireless access point W2 at time T2. The area, ... is located at the time Tn in the area to which the wireless access point Wn belongs.
  • the area to which the wireless access point belongs includes at least one of the following: an area of administrative planning; and a plurality of areas into which the map is divided.
  • the area to which the wireless access point belongs may be distinguished according to the district (county), town (township), and street (village) of the administrative plan; or the map may be divided into a plurality of square areas, and based on the square area Differentiating the area to which the wireless access point belongs.
  • the device 2 generates one or more user sets by multiple users according to the area activity record information, including: the device 2 generates one according to the area activity record information and combined with the user set generation rule by multiple users. Or a plurality of user sets, wherein users in the same user set have at least one same active area.
  • the user set generation rule includes: the users in the same user set have at least one same active area; for example, it is assumed that the generation rule of the user set A' includes: all users in the user set A' have gone to the area A .
  • the user set generation rule may also include other content.
  • the user set generation rule includes at least one of the following: a user in the same user set refers to a specified active area; a user in the same user set has at least two identical active areas; and the same user set The user has at least one sequence of the same active area; the users within the same user set relate to the specified active area within the target time period; the users within the same user set have at least two identical active areas within the target time period; the same The users within the user set have at least one identical sequence of active regions within the target time period.
  • the specified active area is area B, and the users who have been to area B are classified into the same user set B'; the users who have gone to area C and have been to area D are classified into the same user set C'D'.
  • Users who have had the active area sequence E ⁇ F ie, from area E to area F
  • the activity sequence includes E ⁇ F ⁇ E, E ⁇ F ⁇ B, C ⁇ Users of E ⁇ F, E ⁇ D ⁇ F can be classified into user set E”F'
  • the target time period is Tx (for example, it can be 8:00 ⁇ 18:00 every Monday, 10:00 ⁇ 20 every Saturday: 00)
  • the designated active area is the area G
  • the users who have gone through the area G within the target time period Tx are classified into the same user set G'
  • the target time period is Ty
  • the area will be gone within the target time period Ty H also went to the user of zone I to use a user set H'I'
  • the target time period is Tz, there will
  • Zhao goes to a movie theater from home every Saturday to watch a movie. If Qianmou, who lives near Zhao’s home, goes to the cinema to watch movies every Saturday, then Zhao and Qianmou will be included.
  • the same user set suppose that Sun is going to a movie theater from home at 2 pm every Saturday to watch a movie. If Li, who lives near Sun’s house, goes to the cinema to watch movies at home around 2 pm every Saturday, then Put Sun and Li into the same user set; suppose Zhou goes to a movie theater from home every Saturday to watch a movie. After watching the movie, go to the library. If you live in a neighborhood near Zhou, Wu every Saturday. I also went to the movie theater from home to watch movies.
  • Zheng is going to a movie studio from home at 2pm every Saturday. Movies, go to the library after watching a movie. If you live in a place near Zheng’s home, Wang will go to the studio to watch a movie from home at around 2 pm every Saturday. After watching the movie, go to the library, then Zheng and Wang belongs to the same user set.
  • the method further comprises: the device 2 classifying the target user into at least one of the user sets according to connection record information of the target user connecting the wireless access point.
  • the target user may be a new user of a specific application (for example, an application for connecting to a wireless access point), and the new user is classified into an existing user according to the connection record information of the new user connecting the wireless access point. set.
  • the target user may belong to one user set or belong to multiple user sets at the same time.
  • the device 2 classifies the target user into at least one of the user sets according to the connection record information of the target user connecting the wireless access point, including: the device 2 determines, according to the connection record information of the target user connecting the wireless access point, The area activity record information of the target user; according to the area activity record information, the target user is classified into at least one of the user sets.
  • the area C has the wireless access point Wc
  • the area D has the wireless access point Wd
  • the record information includes wireless access points Wc, Wd, and the target user can be determined to go through the area C and the area D, thereby classifying the target user into the user set C'D'.
  • an apparatus for user partitioning comprising: a processor; and a memory arranged to store computer executable instructions that, when executed, cause The processor performs the method as described above.
  • a computer readable medium comprising instructions which, when executed, cause a system to perform the operations of the method as described above.
  • the present application determines the regional activity record information of the target user according to the connection record information of the target user to connect to the wireless access point, and determines the matching user corresponding to the target user based on the overlap of the active areas of different users. Then, the matching user is provided to the target user; the application performs user recommendation based on the connection record information of the user connecting the wireless access point, helps the user to expand the related social relationship chain, and improves the user experience. Further, the present application determines the matching user corresponding to the target user according to the regional activity record information of the target user, and combines multiple user matching rules; the application can classify the user according to multiple flexible user matching rules, thereby further Good user recommendations to optimize the user experience.
  • the present application can be implemented in software and/or a combination of software and hardware, for example, using an application specific integrated circuit (ASIC), a general purpose computer, or any other similar hardware device.
  • the software program of the present application can be executed by a processor to implement the steps or functions described above.
  • the software programs (including related data structures) of the present application can be stored in a computer readable recording medium such as a RAM memory, a magnetic or optical drive or a floppy disk and the like.
  • some of the steps or functions of the present application may be implemented in hardware, for example, as a circuit that cooperates with a processor to perform various steps or functions.
  • a portion of the present application can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide a method and/or technical solution in accordance with the present application.
  • the form of computer program instructions in a computer readable medium includes, but is not limited to, source files, executable files, installation package files, etc., accordingly, the manner in which the computer program instructions are executed by the computer includes but not Limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installation. program.
  • the computer readable medium can be any available computer readable storage medium or communication medium that can be accessed by a computer.
  • Communication media includes media that can be transferred from one system to another by communication signals including, for example, computer readable instructions, data structures, program modules or other data.
  • Communication media can include conductive transmission media such as cables and wires (eg, fiber optics, coaxial, etc.) and wireless (unguided transmission) media capable of propagating energy waves, such as acoustic, electromagnetic, RF, microwave, and infrared.
  • Computer readable instructions, data structures, program modules or other data may be embodied, for example, as modulated data signals in a wireless medium, such as a carrier wave or a similar mechanism, such as embodied in a portion of a spread spectrum technique.
  • modulated data signal refers to a signal whose one or more features are altered or set in such a manner as to encode information in the signal. Modulation can be analog, digital or hybrid modulation techniques.
  • the computer readable storage medium may comprise, by way of example and not limitation, vols and non-volatile, implemented in any method or technology for storing information such as computer readable instructions, data structures, program modules or other data.
  • a computer readable storage medium includes, but is not limited to, volatile memory such as random access memory (RAM, DRAM, SRAM); and nonvolatile memory such as flash memory, various read only memories (ROM, PROM, EPROM) , EEPROM), magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage devices (hard disks, tapes, CDs, DVDs); or other currently known media or later developed for storage in computer systems Computer readable information/data used.
  • volatile memory such as random access memory (RAM, DRAM, SRAM)
  • nonvolatile memory such as flash memory, various read only memories (ROM, PROM, EPROM) , EEPROM), magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage devices (hard disk

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Abstract

本申请的目的是提供一种用于推荐用户的方法与设备。与现有技术相比，本申请根据目标用户连接无线接入点的连接记录信息，确定目标用户的区域活动记录信息，并基于不同用户的活动区域的重叠，确定所述目标用户对应的匹配用户，然后，将所述匹配用户提供至所述目标用户；本申请基于用户连接无线接入点的连接记录信息进行用户推荐，帮助用户进行相关的社交关系链拓展，提升了用户体验。进一步地，本申请根据目标用户的区域活动记录信息，并结合多种用户匹配规则，确定所述目标用户对应的匹配用户；本申请可以根据多种灵活的用户匹配规则对用户进行分类，从而更好地进行用户推荐，优化用户体验。

Description

一种用于推荐用户的方法与设备
本案要求在先申请CN 201710361341.5的优先权。
技术领域
本申请涉及通信领域，尤其涉及一种用于推荐用户的技术。
背景技术
人是群居的，社交是人类活动中永恒的主题，随着科学技术的发展，社交产品近年来也发展得很快。好友数，特别是能找到一群与自己相关的人聊天并建立稳定的关系链，是一切社交产品最首要的目标。要实现这一目标，那就要给每一位用户进行相关属性的标签化，这样用户就能在社交平台上找到自己最希望找到的朋友。
此外，随着人们越来越频繁地使用智能手机、平板电脑等移动设备上网，人们通常需要连接各种无线接入点(例如家里的、单位的、商场的、车站的、机场的无线接入点)。然而，基于用户连接无线接入点的连接记录进行相关的社交关系链拓展目前没有得到相关应用。
发明内容
本申请的一个目的是提供一种用于推荐用户的方法与设备。
根据本申请的一个方面，提供了一种用于推荐用户的方法，其中，该方法包括：根据目标用户连接无线接入点的连接记录信息，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域或至少连接过一个相同的无线接入点；将所述匹配用户提供至所述目标用户。
根据本申请的另一个方面，提供了一种用于推荐用户的设备，其中，该设备包括：处理器；以及被安排成存储计算机可执行指令的存储器，所述可执行指令在被执行时使所述处理器执行如上所述的方法。
根据本申请的又一个方面，提供了一种用户划分方法，其中，该方法 包括：根据目标用户连接无线接入点的连接记录信息，确定该目标用户的区域活动记录信息；根据所述区域活动记录信息，确定所述目标用户对应的匹配用户，由所述目标用户与所述匹配用户组成一个或多个用户集，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域。
根据本申请的再一个方面，提供了一种用于用户划分的设备，其中，该设备包括：处理器；以及被安排成存储计算机可执行指令的存储器，所述可执行指令在被执行时使所述处理器执行如上所述的方法。
根据本申请的又一个方面，提供了一种包括指令的计算机可读介质，所述指令在被执行时使得系统进行如上所述方法的操作。
与现有技术相比，本申请根据目标用户连接无线接入点的连接记录信息，确定目标用户的区域活动记录信息，并基于不同用户的活动区域的重叠，确定所述目标用户对应的匹配用户，然后，将所述匹配用户提供至所述目标用户；本申请基于用户连接无线接入点的连接记录信息进行用户推荐，帮助用户进行相关的社交关系链拓展，提升了用户体验。进一步地，本申请根据目标用户的区域活动记录信息，并结合多种用户匹配规则，确定所述目标用户对应的匹配用户；本申请可以根据多种灵活的用户匹配规则对用户进行分类，从而更好地进行用户推荐，优化用户体验。
附图说明
通过阅读参照以下附图所作的对非限制性实施例所作的详细描述，本申请的其它特征、目的和优点将会变得更明显：
图1示出根据本申请一个实施例的一种用于推荐用户的方法流程图；
图2示出根据本申请另一个实施例的一种用户划分方法流程图。
附图中相同或相似的附图标记代表相同或相似的部件。
具体实施方式
下面结合附图对本申请作进一步详细描述。
在本申请一个典型的配置中，终端、服务网络的设备和可信方均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；计算机可读介质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。计算机的存储介质可用于存储可以被计算设备访问的信息，其实例包括但不限于：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、磁带磁盘存储或其他磁性存储设备或任何其他非传输介质。
本申请所指设备1、设备2包括但不限于用户设备、网络设备、或用户设备与网络设备通过网络相集成所构成的设备。所述用户设备包括但不限于任何一种可与用户进行人机交互的移动电子产品，例如智能手机、平板电脑等，所述移动电子产品可以采用任意操作系统，如android操作系统、iOS操作系统、Windows操作系统等。其中，所述网络设备包括一种能够按照事先设定或存储的指令，自动进行数值计算和信息处理的电子设备，其硬件包括但不限于微处理器、专用集成电路(ASIC)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、数字信号处理器(DSP)、嵌入式设备等。所述网络设备包括但不限于计算机、网络主机、单个网络服务器、多个网络服务器集或多个服务器构成的云；在此，云由基于云计算(Cloud Computing)的大量计算机或网络服务器构成，其中，云计算是分布式计算的一种，由一群松散耦合的计算机集组成的一个虚拟超级计算机。所述网络包括但不限于互联网、广域网、城域网、局域网、VPN网络、无线自组织网络(Ad Hoc网络)等。优选地，所述设备1、设备2还可以是运行于所述用户设备、网络设备、或用户设备与网络设备、网络设备、触摸终端或网络设备与触摸终端通过网络相集成所构成的设备上的程序。
当然，本领域技术人员应能理解上述设备1、设备2仅为举例，其他 现有的或今后可能出现的设备如可适用于本申请，也应包含在本申请保护范围以内，并在此以引用方式包含于此。
图1示出根据本申请一个实施例的一种用于推荐用户的方法流程图，其中，该方法包括步骤S11和步骤S12。
具体地，步骤S11中，设备1根据目标用户连接无线接入点的连接记录信息，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域或至少连接过一个相同的无线接入点；步骤S12中，设备1将所述匹配用户提供至所述目标用户。
例如，特定应用(例如用于连接无线接入点的应用)的云端服务器存储了使用该特定应用的多个用户连接无线接入点的连接记录信息(例如在某时间连接某无线接入点)。在一个实施例中，设备1可以根据多个用户(包括所述目标用户和所述匹配用户)连接无线接入点的连接记录信息，确定用户的活动区域，并据此对多个用户进行分类，组成一个或多个用户集。或者，设备1可以根据多个用户(包括所述目标用户和所述匹配用户)连接无线接入点的连接记录信息，确定不同的用户是否连接过相同的无线接入点，从而对多个用户进行分类，组成一个或多个用户集。一个用户可能属于一个用户集，或者同时属于多个用户集。
在此，用户连接无线接入点的连接记录信息包括但不限于用户连接某无线接入点的起止时间信息或连接时长信息等；该连接记录信息可从第三方设备直接读取，也可由设备1从大量的无线连接日志中实时获取，例如，根据用户所使用的用户设备的设备标识信息(例如该用户设备的MAC地址信息)从大量的无线连接日志中匹配出该用户设备的多条无线连接日志(例如，该用户设备连接某无线接入点的起止时间等)，再对这些无线连接日志统计处理得到该用户连接无线接入点的连接记录信息。
生成用户集后，设备1向所述用户集内的用户推荐所述用户集内的其他用户。优选地，用户可以选择是否允许推荐，以及是否接受推荐。设备1将所述用户集提供至所述用户集内允许推荐的用户。
在另一个实施例中，设备1也可以不划分用户集，直接根据所述连接记录信息确定所述目标用户对应的匹配用户，所述匹配用户的数量可能为 一个或多个，然后，设备1将所述匹配用户推荐给所述目标用户。
优选地，步骤S11中，设备1根据目标用户连接无线接入点的连接记录信息，确定该目标用户的区域活动记录信息；根据所述区域活动记录信息，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域。
例如，所述无线接入点对应的无线路由器一般有固定的地理位置，用户设备在无线路由器附近一定范围内可以连接上对应的无线接入点。如果用户随身携带的用户设备在时间T与无线接入点W处于连接状态，则可将无线接入点W所属的区域确定为用户在时间T的活动区域。因此，设备1根据目标用户连接无线接入点的连接记录信息，可以确定该目标用户的区域活动记录信息。
优选地，设备1根据目标用户连接无线接入点的连接记录信息，确定该目标用户的区域活动记录信息，包括：设备1根据目标用户连接无线接入点的连接记录信息，以及无线接入点所属的区域，确定该目标用户的区域活动记录信息。
例如，可以根据所述无线接入点的IP地址，确定所述无线接入点所属的区域；或者，可以查询特定应用(例如用于连接无线接入点的应用)的热点数据库，确定所述无线接入点所属的区域。
优选地，设备1根据目标用户连接无线接入点的连接记录信息，以及无线接入点所属的区域，确定该目标用户的区域活动记录信息，包括：设备1确定目标用户连接无线接入点的连接记录信息中每个无线接入点所属的区域；根据所述连接记录信息，以及所述每个无线接入点所属的区域，确定该目标用户的区域活动记录信息。
例如，假设用户甲的连接记录信息包括：在时间T1连接无线接入点W1，在时间T2连接无线接入点W2，在时间T3连接无线接入点W3，……在时间Tn连接无线接入点Wn；设备1确定无线接入点W1、W2、W3、……Wn所属的区域；进而确定用户甲在时间T1位于无线接入点W1所属的区域，在时间T2位于无线接入点W2所属的区域，……在时间Tn位于无线接入点Wn所属的区域。
优选地，所述无线接入点所属的区域包括以下至少任一项：行政规划的区域；地图被切分成的若干个区域。
例如，可以按照行政规划的区(县)、镇(乡)、街道(村)区分所述无线接入点所属的区域；或者，也可以将地图切分成若干个方形区域，并基于该方形区域区分所述无线接入点所属的区域。
优选地，设备1根据所述区域活动记录信息，确定所述目标用户对应的匹配用户，包括：设备1根据所述区域活动记录信息，并结合用户匹配规则，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域。
例如，所述用户匹配规则包括：所述目标用户与所述匹配用户具有至少一个相同的活动区域；比如，假设用户集A’的生成规则包括：用户集A’内的所有用户都去过区域A；若所述目标用户与所述匹配用户都去过区域A，则所述目标用户与所述匹配用户符合所述用户匹配规则。除此之外，所述用户匹配规则还可以包括其他内容。
优选地，所述用户匹配规则包括以下至少任一项：所述目标用户与所述匹配用户均涉及指定的活动区域；所述目标用户与所述匹配用户具有至少两个相同的活动区域；所述目标用户与所述匹配用户具有至少一个相同的活动区域序列；所述目标用户与所述匹配用户在目标时段内均涉及指定的活动区域；所述目标用户与所述匹配用户在目标时段内具有至少两个相同的活动区域；所述目标用户与所述匹配用户在目标时段内具有至少一个相同的活动区域序列。
例如，假设指定的活动区域是区域B，将去过区域B的用户归入同一个用户集B’；若所述目标用户与所述匹配用户都去过区域B，则所述目标用户与所述匹配用户符合所述用户匹配规则。将既去过区域C也去过区域D的用户归入同一个用户集C’D’；若所述目标用户与所述匹配用户都既去过区域C也去过区域D，则所述目标用户与所述匹配用户符合所述用户匹配规则。将有过活动区域序列E→F(即从区域E去区域F)的用户归入同一个用户集E”F’(比如活动序列包括E→F→E、E→F→B、C→E→F、E→D→F的用户可以归入用户集E”F’)；若所述目标用户与所述匹配用户 都有过活动区域序列E→F，则所述目标用户与所述匹配用户符合所述用户匹配规则。假设目标时段为Tx(比如可以是每周一8：00～18：00、每周六10：00～20：00)，指定的活动区域是区域G，将在目标时段Tx之内去过区域G的用户归入同一个用户集G’；若所述目标用户与所述匹配用户都在目标时段Tx之内去过区域G，则所述目标用户与所述匹配用户符合所述用户匹配规则。假设目标时段为Ty，将在目标时段Ty之内既去过区域H也去过区域I的用户归入用一个用户集H’I’；若所述目标用户与所述匹配用户都在目标时段Ty之内既去过区域H也去过区域I，则所述目标用户与所述匹配用户符合所述用户匹配规则。假设目标时段为Tz，将在目标时段Tz之内有过活动区域序列J→K(即从区域J去区域K)的用户归入同一个用户集J”K’(比如在目标时段Tz之内活动序列包括J→K→J、J→K→B、C→J→K、J→D→K的用户可以归入用户集J”K’)；若所述目标用户与所述匹配用户都在目标时段Tz之内有过活动区域序列J→K，则所述目标用户与所述匹配用户符合所述用户匹配规则。
再例如，假设赵某每周六都从家里去某影城看电影，如果家住赵某家附近的钱某每周六也从家里去该影城看电影，则赵某与钱某符合所述用户匹配规则；假设孙某每周六下午两点从家里去某影城看电影，如果家住孙某家附近的李某每周六下午两点左右也从家里去该影城看电影，则孙某与李某符合所述用户匹配规则；假设周某每周六都从家里去某影城看电影，看完电影后再去图书馆，如果家住周某家附近的吴某每周六也从家里去该影城看电影，看完电影后再去图书馆，则周某与吴某符合所述用户匹配规则；假设郑某每周六下午两点都从家里去某影城看电影，看电影后再去图书馆，如果家住郑某家附近的王某每周六下午两点左右也从家里去该影城看电影，看完电影后再去图书馆，则郑某与王某符合所述用户匹配规则。
优选地，所述方法还包括：设备1根据第三用户连接无线接入点的连接记录信息，若所述第三用户属于所述目标用户对应的匹配用户，将所述第三用户提供至所述目标用户。
例如，所述第三用户可以是特定应用(例如用于连接无线接入点的应用)的新用户，根据该新用户连接无线接入点的连接记录信息，判断该新 用户是否与所述目标用户相匹配，或者，将该新用户归入已有的用户集。所述第三用户可能与一个所述目标用户相匹配，也可能与多个所述目标用户相匹配。
优选地，设备1根据第三用户连接无线接入点的连接记录信息，若所述第三用户属于所述目标用户对应的匹配用户，将所述第三用户提供至所述目标用户，包括：设备1根据第三用户连接无线接入点的连接记录信息，确定所述第三用户的区域活动记录信息；根据所述区域活动记录信息，若所述第三用户属于所述目标用户对应的匹配用户，将所述第三用户提供至所述目标用户。
例如，假设所述目标用户既去过区域C也去过区域D，区域C内有无线接入点Wc，区域D内有无线接入点Wd；若所述第三用户的连接记录信息中包括无线接入点Wc、Wd，可确定所述第三用户去过区域C和区域D，进而可确定所述第三用户属于所述目标用户对应的匹配用户。
再例如，假设用户集C’D’内的用户既去过区域C也去过区域D，区域C内有无线接入点Wc，区域D内有无线接入点Wd；若所述第三用户的连接记录信息中包括无线接入点Wc、Wd，可确定所述第三用户去过区域C和区域D，进而将所述目标用户归入用户集C’D’。
根据本申请的另一个方面，提供了一种用于推荐用户的设备，其中，该设备包括：处理器；以及被安排成存储计算机可执行指令的存储器，所述可执行指令在被执行时使所述处理器执行如上所述的方法。
图2示出根据本申请另一个实施例的一种用户划分方法流程图，其中，该方法包括步骤S21和步骤S22。
具体地，步骤S21中，设备2根据用户连接无线接入点的连接记录信息，确定该用户的区域活动记录信息；步骤S22中，设备2根据所述区域活动记录信息，由多个用户生成一个或多个用户集，其中，同一个用户集内的用户具有至少一个相同的活动区域。
例如，特定应用(例如用于连接无线接入点的应用)的云端服务器存储了使用该特定应用的多个用户连接无线接入点的连接记录信息(例如在某时间连接某无线接入点)。
所述无线接入点对应的无线路由器一般有固定的地理位置，用户设备在无线路由器附近一定范围内可以连接上对应的无线接入点。如果用户随身携带的用户设备在时间T与无线接入点W处于连接状态，则可将无线接入点W所属的区域确定为用户在时间T的活动区域。因此，设备2根据用户连接无线接入点的连接记录信息，可以确定该用户的区域活动记录信息。
设备2根据多个用户的区域活动记录信息，对多个用户进行分类，生成一个或多个用户集。一个用户可能属于一个用户集，或者同时属于多个用户集。
在一些实施例中，该方法还包括步骤S23(未示出)，其中，设备2将所述用户集推荐给该用户集中的至少一个用户。例如，所生成的用户集包括用户u1、u2、u3及u4；设备2将该用户集推荐给其中的用户u2，以帮助用户u2与用户集中其他用户(例如u1、u3或u4)建立线下社交互动。
优选地，设备2根据用户连接无线接入点的连接记录信息，确定该用户的区域活动记录信息，包括：设备2根据用户连接无线接入点的连接记录信息，以及无线接入点所属的区域，确定该用户的区域活动记录信息。
例如，可以根据所述无线接入点的IP地址，确定所述无线接入点所属的区域；或者，可以查询特定应用(例如用于连接无线接入点的应用)的热点数据库，确定所述无线接入点所属的区域。
优选地，设备2根据用户连接无线接入点的连接记录信息，以及无线接入点所属的区域，确定该用户的区域活动记录信息，包括：设备2确定用户连接无线接入点的连接记录信息中每个无线接入点所属的区域；根据所述连接记录信息，以及所述每个无线接入点所属的区域，确定该用户的区域活动记录信息。
例如，假设用户甲的连接记录信息包括：在时间T1连接无线接入点W1，在时间T2连接无线接入点W2，在时间T3连接无线接入点W3，……在时间Tn连接无线接入点Wn；设备2确定无线接入点W1、W2、W3、……Wn所属的区域；进而确定用户甲在时间T1位于无线接入点W1所属的区域，在时间T2位于无线接入点W2所属的区域，……在时间Tn位于无线 接入点Wn所属的区域。
优选地，所述无线接入点所属的区域包括以下至少任一项：行政规划的区域；地图被切分成的若干个区域。
例如，可以按照行政规划的区(县)、镇(乡)、街道(村)区分所述无线接入点所属的区域；或者，也可以将地图切分成若干个方形区域，并基于该方形区域区分所述无线接入点所属的区域。
优选地，设备2根据所述区域活动记录信息，由多个用户生成一个或多个用户集，包括：设备2根据所述区域活动记录信息，并结合用户集生成规则，由多个用户生成一个或多个用户集，其中，同一个用户集内的用户具有至少一个相同的活动区域。
例如，所述用户集生成规则包括：同一个用户集内的用户具有至少一个相同的活动区域；比如，假设用户集A’的生成规则包括：用户集A’内的所有用户都去过区域A。除此之外，所述用户集生成规则还可以包括其他内容。
优选地，所述用户集生成规则包括以下至少任一项：同一个用户集内的用户涉及指定的活动区域；同一个用户集内的用户具有至少两个相同的活动区域；同一个用户集内的用户具有至少一个相同的活动区域序列；同一个用户集内的用户在目标时段内涉及指定的活动区域；同一个用户集内的用户在目标时段内具有至少两个相同的活动区域；同一个用户集内的用户在目标时段内具有至少一个相同的活动区域序列。
例如，假设指定的活动区域是区域B，将去过区域B的用户归入同一个用户集B’；将既去过区域C也去过区域D的用户归入同一个用户集C’D’；将有过活动区域序列E→F(即从区域E去区域F)的用户归入同一个用户集E”F’(比如活动序列包括E→F→E、E→F→B、C→E→F、E→D→F的用户可以归入用户集E”F’)；假设目标时段为Tx(比如可以是每周一8：00～18：00、每周六10：00～20：00)，指定的活动区域是区域G，将在目标时段Tx之内去过区域G的用户归入同一个用户集G’；假设目标时段为Ty，将在目标时段Ty之内既去过区域H也去过区域I的用户归入用一个用户集H’I’；假设目标时段为Tz，将在目标时段Tz之内有过活动区域序 列J→K(即从区域J去区域K)的用户归入同一个用户集J”K’(比如在目标时段Tz之内活动序列包括J→K→J、J→K→B、C→J→K、J→D→K的用户可以归入用户集J”K’)。
再例如，假设赵某每周六都从家里去某影城看电影，如果家住赵某家附近的钱某每周六也从家里去该影城看电影，则将赵某与钱某归入同一个用户集；假设孙某每周六下午两点从家里去某影城看电影，如果家住孙某家附近的李某每周六下午两点左右也从家里去该影城看电影，则将孙某与李某归入同一个用户集；假设周某每周六都从家里去某影城看电影，看完电影后再去图书馆，如果家住周某家附近的吴某每周六也从家里去该影城看电影，看完电影后再去图书馆，则将周某与吴某归入同一个用户集；假设郑某每周六下午两点都从家里去某影城看电影，看电影后再去图书馆，如果家住郑某家附近的王某每周六下午两点左右也从家里去该影城看电影，看完电影后再去图书馆，则将郑某与王某归入同一个用户集。
优选地，所述方法还包括：设备2根据目标用户连接无线接入点的连接记录信息，将所述目标用户归入至少一个所述用户集。
例如，所述目标用户可以是特定应用(例如用于连接无线接入点的应用)的新用户，根据该新用户连接无线接入点的连接记录信息，将该新用户归入已有的用户集。所述目标用户可能属于一个用户集，或者同时属于多个用户集。
优选地，设备2根据目标用户连接无线接入点的连接记录信息，将所述目标用户归入至少一个所述用户集，包括：设备2根据目标用户连接无线接入点的连接记录信息，确定所述目标用户的区域活动记录信息；根据所述区域活动记录信息，将所述目标用户归入至少一个所述用户集。
例如，假设用户集C’D’内的用户既去过区域C也去过区域D，区域C内有无线接入点Wc，区域D内有无线接入点Wd；若所述目标用户的连接记录信息中包括无线接入点Wc、Wd，可确定所述目标用户去过区域C和区域D，进而将所述目标用户归入用户集C’D’。
根据本申请的再一个方面，提供了一种用于用户划分的设备，其中，该设备包括：处理器；以及被安排成存储计算机可执行指令的存储器，所 述可执行指令在被执行时使所述处理器执行如上所述的方法。
根据本申请的又一个方面，提供了一种包括指令的计算机可读介质，所述指令在被执行时使得系统进行如上所述方法的操作。
与现有技术相比，本申请根据目标用户连接无线接入点的连接记录信息，确定目标用户的区域活动记录信息，并基于不同用户的活动区域的重叠，确定所述目标用户对应的匹配用户，然后，将所述匹配用户提供至所述目标用户；本申请基于用户连接无线接入点的连接记录信息进行用户推荐，帮助用户进行相关的社交关系链拓展，提升了用户体验。进一步地，本申请根据目标用户的区域活动记录信息，并结合多种用户匹配规则，确定所述目标用户对应的匹配用户；本申请可以根据多种灵活的用户匹配规则对用户进行分类，从而更好地进行用户推荐，优化用户体验。
需要注意的是，本申请可在软件和/或软件与硬件的组合体中被实施，例如，可采用专用集成电路(ASIC)、通用目的计算机或任何其他类似硬件设备来实现。在一个实施例中，本申请的软件程序可以通过处理器执行以实现上文所述步骤或功能。同样地，本申请的软件程序(包括相关的数据结构)可以被存储到计算机可读记录介质中，例如，RAM存储器，磁或光驱动器或软磁盘及类似设备。另外，本申请的一些步骤或功能可采用硬件来实现，例如，作为与处理器配合从而执行各个步骤或功能的电路。
另外，本申请的一部分可被应用为计算机程序产品，例如计算机程序指令，当其被计算机执行时，通过该计算机的操作，可以调用或提供根据本申请的方法和/或技术方案。本领域技术人员应能理解，计算机程序指令在计算机可读介质中的存在形式包括但不限于源文件、可执行文件、安装包文件等，相应地，计算机程序指令被计算机执行的方式包括但不限于：该计算机直接执行该指令，或者该计算机编译该指令后再执行对应的编译后程序，或者该计算机读取并执行该指令，或者该计算机读取并安装该指令后再执行对应的安装后程序。在此，计算机可读介质可以是可供计算机访问的任意可用的计算机可读存储介质或通信介质。
通信介质包括藉此包含例如计算机可读指令、数据结构、程序模块或其他数据的通信信号被从一个系统传送到另一系统的介质。通信介质可包 括有导的传输介质(诸如电缆和线(例如，光纤、同轴等))和能传播能量波的无线(未有导的传输)介质，诸如声音、电磁、RF、微波和红外。计算机可读指令、数据结构、程序模块或其他数据可被体现为例如无线介质(诸如载波或诸如被体现为扩展频谱技术的一部分的类似机制)中的已调制数据信号。术语“已调制数据信号”指的是其一个或多个特征以在信号中编码信息的方式被更改或设定的信号。调制可以是模拟的、数字的或混合调制技术。
作为示例而非限制，计算机可读存储介质可包括以用于存储诸如计算机可读指令、数据结构、程序模块或其它数据的信息的任何方法或技术实现的易失性和非易失性、可移动和不可移动的介质。例如，计算机可读存储介质包括，但不限于，易失性存储器，诸如随机存储器(RAM，DRAM，SRAM)；以及非易失性存储器，诸如闪存、各种只读存储器(ROM，PROM，EPROM，EEPROM)、磁性和铁磁/铁电存储器(MRAM，FeRAM)；以及磁性和光学存储设备(硬盘、磁带、CD、DVD)；或其它现在已知的介质或今后开发的能够存储供计算机系统使用的计算机可读信息/数据。
对于本领域技术人员而言，显然本申请不限于上述示范性实施例的细节，而且在不背离本申请的精神或基本特征的情况下，能够以其他的具体形式实现本申请。因此，无论从哪一点来看，均应将实施例看作是示范性的，而且是非限制性的，本申请的范围由所附权利要求而不是上述说明限定，因此旨在将落在权利要求的等同要件的含义和范围内的所有变化涵括在本申请内。不应将权利要求中的任何附图标记视为限制所涉及的权利要求。此外，显然“包括”一词不排除其他单元或步骤，单数不排除复数。第一，第二等词语用来表示名称，而并不表示任何特定的顺序。

Claims (14)

  1. 一种用于推荐用户的方法，其中，该方法包括：
    根据目标用户连接无线接入点的连接记录信息，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域或至少连接过一个相同的无线接入点；
    将所述匹配用户提供至所述目标用户。
  2. 根据权利要求1所述的方法，其中，所述根据目标用户连接无线接入点的连接记录信息，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域或至少连接过一个相同的无线接入点包括：
    根据目标用户连接无线接入点的连接记录信息，确定该目标用户的区域活动记录信息；
    根据所述区域活动记录信息，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域。
  3. 根据权利要求2所述的方法，其中，所述根据所述区域活动记录信息，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域包括：
    根据所述区域活动记录信息，并结合用户匹配规则，确定所述目标用户对应的匹配用户，其中，所述目标用户与所述匹配用户具有至少一个相同的活动区域。
  4. 根据权利要求3所述的方法，其中，所述用户匹配规则包括以下至少任一项：
    所述目标用户与所述匹配用户均涉及指定的活动区域；
    所述目标用户与所述匹配用户具有至少两个相同的活动区域；
    所述目标用户与所述匹配用户具有至少一个相同的活动区域序列；
    所述目标用户与所述匹配用户在目标时段内均涉及指定的活动区域；
    所述目标用户与所述匹配用户在目标时段内具有至少两个相同的活动区域；
    所述目标用户与所述匹配用户在目标时段内具有至少一个相同的活动区域序列。
  5. 根据权利要求2至4中任一项所述的方法，其中，所述根据目标用户连接无线接入点的连接记录信息，确定该目标用户的区域活动记录信息包括：
    根据目标用户连接无线接入点的连接记录信息，以及无线接入点所属的区域，确定该目标用户的区域活动记录信息。
  6. 根据权利要求5所述的方法，其中，所述根据目标用户连接无线接入点的连接记录信息，以及无线接入点所属的区域，确定该目标用户的区域活动记录信息包括：
    确定目标用户连接无线接入点的连接记录信息中每个无线接入点所属的区域；
    根据所述连接记录信息，以及所述每个无线接入点所属的区域，确定该目标用户的区域活动记录信息。
  7. 根据权利要求5所述的方法，其中，所述无线接入点所属的区域包括以下至少任一项：
    行政规划的区域；
    地图被切分成的若干个区域。
  8. 根据权利要求1至7中任一项所述的方法，其中，所述方法还包括：
    根据第三用户连接无线接入点的连接记录信息，若所述第三用户属于所述目标用户对应的匹配用户，将所述第三用户提供至所述目标用户。
  9. 根据权利要求8所述的方法，其中，根据第三用户连接无线接入点的连接记录信息，若所述第三用户属于所述目标用户对应的匹配用户，将所述第三用户提供至所述目标用户，包括：
    根据第三用户连接无线接入点的连接记录信息，确定所述第三用户的区域活动记录信息；
    根据所述区域活动记录信息，若所述第三用户属于所述目标用户对应的匹配用户，将所述第三用户提供至所述目标用户。
  10. 一种用户划分方法，其中，该方法包括：
    根据用户连接无线接入点的连接记录信息，确定该用户的区域活动记录信息；
    根据所述区域活动记录信息，由多个用户生成一个或多个用户集，其中，同一个用户集内的用户具有至少一个相同的活动区域。
  11. 根据权利要求10所述的方法，其中，所述方法还包括：
    将所述用户集推荐给所述用户集中的至少一个用户。
  12. 一种包括指令的计算机可读介质，所述指令在被执行时使得系统进行如权利要求1至11中任一项所述方法的操作。
  13. 一种用于推荐用户的设备，其中，该设备包括：
    处理器；以及
    被安排成存储计算机可执行指令的存储器，所述可执行指令在被执行时使所述处理器执行如权利要求1至9中任一项所述的方法。
  14. 一种用于用户划分的设备，其中，该设备包括：
    处理器；以及
    被安排成存储计算机可执行指令的存储器，所述可执行指令在被执行时使所述处理器执行如权利要求10或11所述的方法。
PCT/CN2018/088990 2017-05-19 2018-05-30 一种用于推荐用户的方法与设备 WO2018210351A1 (zh)

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