CN106487825B - Information association method and device - Google Patents
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- CN106487825B CN106487825B CN201510526422.7A CN201510526422A CN106487825B CN 106487825 B CN106487825 B CN 106487825B CN 201510526422 A CN201510526422 A CN 201510526422A CN 106487825 B CN106487825 B CN 106487825B
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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
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Abstract
The embodiment of the application discloses an information association method and device, wherein the method comprises the following steps: receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographical position where the second client stays; determining distance information between the geographic position corresponding to the first position information and the geographic position corresponding to the second position information; and if the distance information is smaller than the preset threshold value, associating the first user information with the second user information. As described above, since the location information or the trajectory information of the user acquired by the server is real information in the above process, the personal information of each user can be more accurately mined according to the information, and the accuracy of the transaction processing in the internet is further improved.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to an information association method and apparatus.
Background
With the coming of the internet era, the internet is widely applied to daily study, work and life of people. Various daily transactions can be processed and presented through the internet.
In certain internet applications, it is often desirable to perform various transactions in the internet by gathering personal information about various users in the internet. For example, the users are classified into different user groups according to the personal information of each user in the internet, or interest points of each user are mined according to the personal information of each user in the internet, at least two users with the same interest points are associated, and the like. It can be seen that the accuracy of personal information gathered in the internet directly affects the accuracy of various transactions in subsequent internets.
In the prior art, personal information in the internet is generally obtained in a way that a user fills in the personal information during registration or use.
In the process of implementing the present application, the inventor finds that the prior art has at least the following problems:
since personal information self-filled by a user during registration or use in the prior art may be false information, if various transactions in the internet are executed completely according to the personal information, the accuracy of transaction processing in the internet is affected.
Disclosure of Invention
The embodiment of the application aims to provide an information correlation method and an information correlation device, so as to solve the problem that in the prior art, personal information of each user acquired in the internet is inaccurate, so that the accuracy of transaction processing in the internet is influenced.
In order to solve the above technical problem, an information association method and apparatus provided in the embodiments of the present application are implemented as follows:
an information association method, comprising:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and second position information which is uploaded by a second client and corresponds to second user information logged in the second client;
determining first attribute information corresponding to the first position information and second attribute information corresponding to the second position information;
and if the first attribute information is matched with the second attribute information, associating the first user information with the second user information.
An information association method, comprising:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and second position information which is uploaded by a second client and corresponds to second user information logged in the second client;
determining first area information corresponding to the first position information and second area information corresponding to the second position information;
and if the first area information is matched with the second area information, associating the first user information with the second user information.
An information association method, comprising:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographical position where the second client stays;
determining distance information between the geographic position corresponding to the first position information and the geographic position corresponding to the second position information;
and if the distance information is smaller than a preset threshold value, associating the first user information with the second user information.
An information association method, comprising:
receiving first track information which is uploaded by a first client and corresponds to first user information logged in the first client and moves within a preset time length, and second track information which is uploaded by a second client and corresponds to second user information logged in the second client and moves within the preset time length;
determining the coincidence degree of the first track information and the second track information;
and if the determined contact ratio exceeds a preset contact ratio threshold value, associating the first user information with the second user information.
An information associating apparatus comprising:
the receiving unit is used for receiving first position information which is uploaded by a first client and corresponds to first user information logged on the first client and second position information which is uploaded by a second client and corresponds to second user information logged on the second client;
a first determination unit configured to determine first attribute information corresponding to the first position information and second attribute information corresponding to the second position information;
and the association unit is used for associating the first user information with the second user information when the first attribute information is matched with the second attribute information.
An information associating apparatus comprising:
the receiving unit is used for receiving first position information which is uploaded by a first client and corresponds to first user information logged on the first client and second position information which is uploaded by a second client and corresponds to second user information logged on the second client;
a first determination unit configured to determine first area information corresponding to the first position information and second area information corresponding to the second position information;
and the association unit is used for associating the first user information with the second user information when the first area information is matched with the second area information.
An information associating apparatus comprising:
the receiving unit is used for receiving first position information which is uploaded by a first client and corresponds to first user information logged on the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged on the second client and a geographical position where the second client stays;
a first determining unit, configured to determine distance information between a geographic location corresponding to the first location information and a geographic location corresponding to the second location information;
and the association unit is used for associating the first user information with the second user information when the distance information is smaller than a preset threshold value.
An information associating apparatus comprising:
the receiving unit is used for receiving first track information which is uploaded by a first client and corresponds to first user information logged on the first client and moves within a preset time length, and second track information which is uploaded by a second client and corresponds to second user information logged on the second client and moves within the preset time length;
a first determining unit, configured to determine a coincidence degree of the first track information and the second track information;
and the association unit is used for associating the first user information with the second user information when the determined contact ratio exceeds a preset contact ratio threshold value.
As can be seen from the technical solutions provided in the embodiments of the present application, a server receives first location information or first track information corresponding to first user information uploaded by a first client and second location information or second track information corresponding to second user information uploaded by a second client, and then, according to the received location information or track information, the server mines personal information (e.g., passing geographic location information) of a user corresponding to user information logged in on the client, and according to the mined personal information, implements corresponding user information association operations. As described above, since the position information or track information of the user acquired by the server is real information in the above process, the personal information (such as passing geographical position information) of each user can be more accurately mined according to the information, and the accuracy of transaction processing in the Internet is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
FIG. 1 is an architecture diagram of an application system for information association in an embodiment of the present application;
FIG. 2 is a flow chart of a method for associating information according to a first embodiment of the present application;
FIG. 3 illustrates user location information as indicated in a map in a first embodiment of the present application;
FIG. 4 is a flow chart of an information association method according to a second embodiment of the present application;
FIG. 5 illustrates geographical area information indicated in a map in a second embodiment of the present application;
FIG. 6 is a flowchart of an information association method according to a third embodiment of the present application;
fig. 7 shows geographical attribute information indicated in a map in a third embodiment of the present application;
FIG. 8 is a flowchart of an information association method according to a fourth embodiment of the present application;
fig. 9 shows the motion trajectory information indicated in the map in the fourth embodiment of the present application;
FIG. 10 is a block diagram of an information association apparatus according to an embodiment of the present application;
fig. 11 is a block diagram of an information associating apparatus according to another embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is an architecture diagram of an application system for information association in an embodiment of the present application. Exemplarily, the architecture includes a server 10 and several clients 20 communicating with the server 10. These clients 20 may be personal computers, laptops, wireless phones, Personal Digital Assistants (PDAs), smart watches, or other computer devices and communication devices. The server 10 is configured to receive the location information or track information of each user uploaded by each client 20, mine the personal information of the user according to the uploaded information, and finally perform a transaction operation such as information association or information matching according to the mined personal information.
Both the server-side device and the client-side device are architecturally comprised of basic components, such as a bus, a processing device, a storage device, one or more input/output devices, and a communication interface. The bus may include one or more conductors that enable communication between components of the server and client devices. The processing device may include various types of processors or microprocessors for executing instructions, processing processes, or threads. The storage means may include a dynamic memory such as a Random Access Memory (RAM) for storing dynamic information, or a static memory such as a Read Only Memory (ROM) for storing static information, and a mass storage including a magnetic or optical recording medium and a corresponding drive. The input device may be a keyboard, mouse, stylus, touch screen, voice recognition device, biometric device, or the like. The output device may be a display, a printer, a speaker, or the like to output information. The communication interface is used to enable a server or client device to communicate with other systems or apparatuses. The communication interfaces may be connected to the network by a wired connection method, a wireless connection method, or an optical connection method, so that the client devices and the server communicate with each other. Each network 10 may include a Local Area Network (LAN), a Wide Area Network (WAN), an intranet, the internet, a mobile telephone network, a Virtual Private Network (VPN), a cellular or other mobile communications network, bluetooth, NFC, or any combination thereof. Operating system software for managing system resources, controlling the operation of other programs, and application software or program instructions for implementing specific functions are included on both the server and client devices.
Fig. 2 is a flowchart of an information association method in the first embodiment of the present application. With reference to fig. 2 and fig. 3, in this embodiment, a server is used as an execution subject, and an information association method includes the following steps:
s101: the server receives first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographic position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographic position where the second client stays.
In this embodiment of the application, the first location information and the second location information may be location information corresponding to a geographic location where the first client and the second client stay for a certain time. The first user information and the second user information may be user accounts, client IDs, or the like, which are logged in by the user on the first client and the second client. Each client end communicating with the server end can obtain the position information of the client end at regular time and report the obtained position information to the server end, and the server end can learn the geographical position of each client end for a certain time according to the position information reported by each client end at regular time.
In this embodiment of the application, before the step S101, the method further includes the following steps:
and determining the stay time of the first client on the geographical position corresponding to the first position information and the stay time of the second client on the geographical position corresponding to the second position information.
The location information of the client acquired by the server can be represented in the form of the following table:
| client ID | Date information | Time information | GPS longitude information | GPS latitude information |
| 10001 | 20150728 | 15：00：00 | 118°21′ | 29°11′ |
| 10001 | 20150728 | 15：10：00 | 119°30′ | 29°20′ |
| 10001 | 20150728 | 15：20：00 | 120°30′ | 30°33′ |
| 10001 | 20150728 | 15：30：00 | 120°30′ | 30°33′ |
| 10001 | 20150728 | 15：40：00 | 120°30′ | 30°33′ |
The location information may include GPS longitude information and GPS latitude information, and the length of stay of a certain client in a certain geographical location may be obtained by acquiring the GPS longitude information and the GPS latitude information of each client at regular time. As shown in the above table, for client "10001", it can be known that the client is in the geographic location: the length of stay in the longitude "120 ° 30 '", and the latitude "30 ° 33'" is about 20 min. It should be noted that, in other embodiments of the present application, the client may obtain the location information of the geographic location where the client stays through a GPS positioning technology, and only upload the location information of the geographic location where the client stays to the server.
S102: and the server side determines the distance information between the geographic position corresponding to the first position information and the geographic position corresponding to the second position information.
By the acquired first position information and second position information, distance information between two geographical positions where the first client and the second client respectively stay can be calculated.
As described above, this step S102 may include the steps of:
and if the stay time of the first client on the geographical position corresponding to the first location information exceeds a first threshold and the stay time of the second client on the geographical position corresponding to the second location information exceeds a first threshold, determining the distance information between the geographical position corresponding to the first location information and the geographical position corresponding to the second location information.
In this embodiment, the server determines whether a certain geographic location is a location where a certain client actually stays by judging whether a staying time of the certain client at the certain geographic location exceeds a preset first threshold. For example, the first threshold is set to 30min, and if the stay time of the first client and the second client at the corresponding geographic positions exceeds 30min through judgment, it is determined that the geographic position corresponding to the location information is the stay position of the client. The size of the first threshold value can be adjusted according to requirements.
S103: and when the distance information is smaller than a preset threshold value, the server associates the first user information with the second user information.
The server side can judge whether the user information of the first client side and the second client side can be correlated according to the distance information between the geographical positions where the first client side and the second client side respectively stay. Specifically, the determination may be performed by using a preset threshold, and if the distance information is smaller than the preset threshold, it indicates that the geographic locations where the first client and the second client stay are relatively close to each other, and to a certain extent, it may also indicate that the user of the first client and the user of the second client have the same living environment, for example: living in the same community, working in the same unit, etc. Referring to fig. 3, the distance information for two stop positions is shown: 15.8km and 3.6km, and if the preset threshold is 5km, it can be determined that the distance information 15.8km exceeds the preset threshold of 5km, which indicates that the users of the two clients do not have the same living environment, and the other distance information 3.6km does not exceed the preset threshold of 5km, which indicates that the users of the two clients may have the same living environment. According to the embodiment of the application, the first user information and the second user information corresponding to the clients with the same living environment can be correlated, so that specific transaction processing application in the internet can be realized.
In the embodiment of the application, in order to improve the accuracy of information association, the location information of the multiple geographical locations where the user of each client stays within a longer statistical period (e.g., 1 month) may be obtained, and the location information of the geographical locations where the user of each client often stays within the statistical period may be obtained by sorting the location information according to the number of stays or the total length of stays. For example, the location information of the geographical location where the client "10001" stayed in the past month includes: { summer garden new village, country trade building, European supermarket, round building, China bank, … … }, wherein the geographical positions of the client with the ranking of the total residence time are obtained by counting the total residence time of the client at each geographical position, and are respectively as follows: in summer garden new villages, China banks and European supermarkets, the three geographical positions may respectively correspond to a residence, a working unit and a consumption place of a certain user in a longer statistical period, so that more accurate living environment information of each user can be obtained by counting the information, and the accuracy of information association is improved.
Taking an exemplary application scenario as an example, it is assumed that the application scenario of the above method is a scenario for implementing the affinity pairing. The first client and the second client are clients of the parent paired application APP, and the server is a server of the parent paired application APP. The server side receives the position information uploaded by each client side at regular time, determines the geographical position where the user of each client side stays within a specific time, and records the position information corresponding to the stayed geographical position. Subsequently, by calculating distance information of two geographical positions where users of two different clients respectively stay, and judging whether the distance information exceeds a preset threshold, if not, it is indicated that the two users may have the same living environment, so that the two users having the same living environment can be matched with each other, success of matching with each other can be improved to some extent, and the problem that probability of meeting with each other is improved due to false information provided by individual matching objects in the prior art can be avoided. On the other hand, two parent objects which are originally inconsistent are subjected to parent pairing, and resources of the server side are wasted to a certain extent.
In practical application, after acquiring the position information of the user staying at a certain client, the server side respectively calculates the distance between the position information of the user staying at the client and the position information of the users staying at other clients, finally determines a user of the client closest to the user of the current client, and carries out relative pairing on the users corresponding to the two clients.
Fig. 4 is a flowchart of an information association method in a second embodiment of the present application. With reference to fig. 4 and 5, in this embodiment, a server is used as an execution subject, and an information association method includes the following steps:
s201: receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client.
The present step may refer to the details of step S101. It should be noted that, in a preferred embodiment, the first location information and the second location information may be location information corresponding to geographic locations where the first client and the second client have stayed. Of course, in other embodiments of the present application, the location information may also be location information of a geographical location through which a user of each client passes, and is not limited in the present application.
S202: first area information corresponding to the first position information and second area information corresponding to the second position information are determined.
In the embodiment of the application, the geographical position is divided into a plurality of areas in advance, and each area corresponds to one area information. Referring to fig. 5, the geographical location includes 4 regions, and the region information is A, B, C, D, respectively, and there may be an overlap between the divided regions in the geographical location. After the position information of the geographical position where a certain client stays is obtained, which area the position information belongs to can be determined according to the longitude information and the latitude information of the position information. In an extreme case, one location information may belong to the at least two areas simultaneously, such as: the position of the client in the figure belongs to the four areas simultaneously.
S203: and if the first area information is matched with the second area information, associating the first user information with the second user information.
As described above, if the area information corresponding to the geographic location where the first client has stayed is matched with the area information corresponding to the geographic location where the second client has stayed, it may also be indicated to some extent that the users of the two clients are two people with similar living environments, so that the first user information and the second user information corresponding to the two clients may be associated to implement a specific transaction processing operation in the internet. Compared with the mode of calculating the distance information between the geographical positions where different clients stay one by one, the mode of determining the distance of the geographical positions through the regional information can greatly reduce the calculation pressure of the server.
In practical application, after the server side obtains the location information of the geographical location where each client side has stayed, the following information can be determined: the area to which the location information belongs, and the distance between the geographic location corresponding to the location information and the center of the area to which the location information belongs. For example, the geographic location is: the longitude "120 ° 30 '", and the latitude "30 ° 33'" belong to the area a and the area B, and are 2.2km from the center of the area a and 2.8km from the center of the area B. Thus, if it is found that the client "10001" belongs to the area a, other clients that belong to the area a in the same way as the client "10001" within the specific time period further include: the client "10008" and the client "10118" may determine to associate the user information corresponding to the two clients closest to each other by comparing the distances between the two clients and the center of the area a. For example: client "10001" is 2.2km from the center of area a, client "10008" is 2.6km from the center of area a, and client "10118" is 2.9km from the center of area a, it is clear that client "10008" is more suitable to be associated with client "10001". Of course, in other embodiments of the present application, the user information of two or more other clients may be associated with the user information of the current client, and the present application is not limited thereto.
Similarly, if the application scenario of the parent pairing is taken as an example, in the above process, according to the location information of the stayed geographic location of each client, and by determining the specific area information to which each location information belongs, the user information of two clients corresponding to two location information belonging to the same area is finally subjected to parent pairing. Because the two relatives with the same living environment are subjected to the relatives pairing, the accuracy of the relatives pairing can be improved, and the resource loss of the server side is reduced to a certain extent.
Fig. 6 is a flowchart of an information association method in a third embodiment of the present application. With reference to fig. 6 and 7, in this embodiment, a server is used as an execution subject, and an information association method includes the following steps:
s301: receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client.
The step can refer to the details of step S101 and step S201.
S302: first attribute information corresponding to the first position information and second attribute information corresponding to the second position information are determined.
S303: and if the first attribute information is matched with the second attribute information, associating the first user information with the second user information.
The present embodiment is different from the first and second embodiments described above in that: the method includes classifying various kinds of location information on the geographical location in advance according to attributes, and specifically, the various kinds of location information may be classified into the following categories according to geographical attributes: movie, sports, dining, reading, singing, shopping, etc. Based on the classification, after acquiring first location information where the first client has stayed and second location information where the second client has stayed, attribute information corresponding to the first location information and the second location information can be respectively determined, and finally, user information of the clients corresponding to the two location information with consistent attribute information is associated. Referring to fig. 7, four geographical locations are shown, respectively: the system comprises a badminton stadium, a fitness center, a lake west movie theatre and a lake east movie theatre, wherein the attribute information of the badminton stadium is 'sports', the attribute information of the fitness center is 'sports', the attribute information of the lake west movie theatre is 'movie & TV', and the attribute information of the lake east movie theatre is 'movie & TV'. Therefore, the user information of the client corresponding to the badminton stadium and the user information of the client corresponding to the fitness center can be correlated, and the user information of the client corresponding to the lake-west movie theatre and the user information of the client corresponding to the lake-east movie theatre can be correlated. In the practical application process, it often happens that although the geographic locations where the users of the two clients stay daily are far from each other (the living environments are not consistent), the geographic locations where the users of the two clients stay daily have the same attribute (for example, both are sports), which indicates that the users of the two clients have the same interest point to some extent. The information of the users with the same interest points is correlated, and the accuracy of specific transaction processing in the Internet can be improved to a certain extent.
Similarly, the above embodiments may also be applied to the application scenarios of the relative pairing.
Fig. 8 is a flowchart of an information association method in a fourth embodiment of the present application. With reference to fig. 8 and 9, in this embodiment, a server is used as an execution subject, and an information association method includes the following steps:
s401: receiving first track information which is uploaded by a first client and corresponds to first user information logged in the first client and moves within a preset time length, and second track information which is uploaded by a second client and corresponds to second user information logged in the second client and moves within the preset time length.
In this step, specific contents of step S101, step S201, and step S301 may be referred to.
It is worth mentioning that the server side can determine the track information of the movement of each client side within a preset time (such as 1 day) according to the position information of the client side at each time point reported by each client side at regular time. The location information may correspond to a geographical location where the client has stayed, or a geographical location where the client has traveled.
S402: and determining the coincidence degree of the first track information and the second track information.
Referring to fig. 9, assuming that first track information of a motion of a first client in a preset time period is a solid track in the figure, and second track information of a motion of a second client in the preset time period is a dashed track in the figure, it may be determined that two overlapping areas exist in the two track information, so that an overlap ratio of the first track information and the second track information may be determined according to the overlapping areas. Specifically, the manner of determining the degree of overlap may include, but is not limited to: the coincidence degree is determined by calculating the ratio of the distance of the coincident region to the total length of the track, or by judging whether the distance of the coincident region is greater than a certain region.
S403: and if the determined contact ratio exceeds a preset contact ratio threshold value, associating the first user information with the second user information.
Referring to the above, whether the two clients have the same living environment or similar interest points can be determined by determining whether the determined contact ratio exceeds a preset contact ratio threshold, and if so, the user information of the two clients are associated.
Similarly, the above embodiments may also be applied to the application scenarios of the relative pairing.
Next, a technical solution of the information association apparatus in the embodiment of the present application will be described with reference to fig. 10 and 11.
Referring to fig. 10, in an embodiment of the present application, an information associating apparatus includes:
a receiving unit 101, configured to receive first location information corresponding to first user information logged in on a first client uploaded by the first client and second location information corresponding to second user information logged in on a second client uploaded by the second client;
a first determining unit 102 configured to determine first attribute information corresponding to the first position information and second attribute information corresponding to the second position information;
an associating unit 103, configured to associate the first user information with the second user information when the first attribute information matches the second attribute information.
In this embodiment of the present application, the receiving unit 101 is configured to:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographical position where the second client stays.
Referring to fig. 11, in the embodiment of the present application, the apparatus includes: a receiving unit 201, a second determining unit 202, a first determining unit 203, an associating unit 204, wherein,
a second determining unit 202, configured to determine a duration of the first client staying at the geographic location corresponding to the first location information and a duration of the second client staying at the geographic location corresponding to the second location information;
then, the first determining unit 203 is configured to:
if the stay time of the first client at the geographic position corresponding to the first position information exceeds a first threshold value, determining first attribute information corresponding to the first position information; and if the stay time of the second client on the geographic position corresponding to the second position information exceeds a first threshold, determining second attribute information corresponding to the second position information.
In this embodiment of the application, the apparatus is applied to a scene of a relative pairing, and the associating unit 204 is configured to:
and if the first attribute information is consistent with the second attribute information, carrying out affinity pairing on the first user information and the second user information.
In an embodiment of the present application, an information association apparatus includes:
a receiving unit 101, configured to receive first location information corresponding to first user information logged in on a first client uploaded by the first client and second location information corresponding to second user information logged in on a second client uploaded by the second client;
a first determining unit 102 configured to determine first area information corresponding to the first position information and second area information corresponding to the second position information;
an associating unit 103, configured to associate the first user information with the second user information when the first area information matches the second area information.
In this embodiment of the present application, the receiving unit 101 is configured to:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographical position where the second client stays.
In an embodiment of the present application, the apparatus further includes:
a second determining unit, configured to determine a duration of stay of the first client at the geographic location corresponding to the first location information and a duration of stay of the second client at the geographic location corresponding to the second location information;
then, the first determining unit 101 is configured to:
if the stay time of the first client at the geographic position corresponding to the first position information exceeds a first threshold value, determining first area information corresponding to the first position information; and if the stay time of the second client on the geographic position corresponding to the second position information exceeds a first threshold, determining second area information corresponding to the second position information.
In this embodiment of the application, the apparatus is applied to a scene of a relative pairing, and the associating unit 103 is configured to:
and if the first area information is consistent with the second area information, carrying out affinity pairing on the first user information and the second user information.
In an embodiment of the present application, an information association apparatus includes:
a receiving unit 101, configured to receive first location information, which is uploaded by a first client and corresponds to first user information logged in the first client and a geographic location where the first client stays, and second location information, which is uploaded by a second client and corresponds to second user information logged in the second client and a geographic location where the second client stays;
a first determining unit 102, configured to determine distance information between a geographic location corresponding to the first location information and a geographic location corresponding to the second location information;
the associating unit 103 is configured to associate the first user information with the second user information when the distance information is smaller than a preset threshold.
In an embodiment of the present application, the apparatus further includes:
a second determining unit, configured to determine a duration of stay of the first client at the geographic location corresponding to the first location information and a duration of stay of the second client at the geographic location corresponding to the second location information;
then, the first determining unit 102 is configured to:
and if the stay time of the first client on the geographical position corresponding to the first location information exceeds a first threshold and the stay time of the second client on the geographical position corresponding to the second location information exceeds a first threshold, determining the distance information between the geographical position corresponding to the first location information and the geographical position corresponding to the second location information.
In this embodiment of the application, the apparatus is applied to a scene of a relative pairing, and the associating unit 103 is configured to:
and if the distance information is smaller than a preset threshold value, carrying out affinity pairing on the first user information and the second user information.
In an embodiment of the present application, an information association apparatus includes:
the receiving unit 101 is configured to receive first track information, which is uploaded by a first client and corresponds to first user information logged in the first client, and which is of a motion of the first client within a preset time duration, and second track information, which is uploaded by a second client and corresponds to second user information logged in the second client, and which is of a motion of the second client within a preset time duration;
a first determining unit 102, configured to determine a coincidence degree of the first track information and the second track information;
an associating unit 103, configured to associate the first user information with the second user information when the determined contact ratio exceeds a preset contact ratio threshold.
In this embodiment of the application, the apparatus is applied to a scene of a relative pairing, and the associating unit 103 is configured to:
and if the determined contact ratio exceeds a preset contact ratio threshold value, carrying out relative pairing on the first user information and the second user information.
In summary, based on the method and the apparatus, the server receives the first location information or the first track information corresponding to the first user information uploaded by the first client and the second location information or the second track information corresponding to the second user information uploaded by the second client, and then, the server mines the personal information (e.g., the passing geographic location information) of the user corresponding to the user information logged in the client according to the received location information or track information, and implements the corresponding user information association operation according to the mined personal information. As described above, since the position information or track information of the user acquired by the server is real information in the above process, the personal information (such as passing geographical position information) of each user can be more accurately mined according to the information, and the accuracy of transaction processing in the Internet is further improved.
It should be noted that the application scenarios of the embodiments of the present application are not limited to the above-mentioned affinity pairing scenario. For example: the server side associates or classifies the user information of the users with the same living environment or the same interest point, and the subsequent server can push corresponding promotion information to the associated client side or the client side corresponding to the user information classified into the same category. The server side excavates more accurate personal information (living environment, interest points and the like) of the user through the position information or track information pushed by the client side, and popularizes corresponding internet information according to the personal information, so that the precision of the popularization of the internet information is improved.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (12)
1. An information association method, comprising:
receiving a plurality of first position information uploaded by a first client and corresponding to first user information logged in the first client and a plurality of second position information uploaded by a second client and corresponding to second user information logged in the second client;
sequencing the plurality of first position information and the plurality of second position information according to the stopping times or the total stopping time of a preset period, and selecting the first position information and the second position information which are sequenced at the front preset number;
determining first attribute information corresponding to the selected first position information and second attribute information corresponding to the selected second position information, wherein the first attribute information or the second attribute information comprises: attribute information obtained by attribute classification of the geographic position;
and if the first attribute information is matched with the second attribute information, associating the first user information with the second user information.
2. The method of claim 1, wherein receiving a plurality of first location information uploaded by a first client corresponding to first user information logged on the first client and a plurality of second location information uploaded by a second client corresponding to second user information logged on the second client comprises:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographical position where the second client stays.
3. The method according to claim 1, wherein the associating the first user information with the second user information if the first attribute information matches the second attribute information, comprises:
and if the first attribute information is consistent with the second attribute information, carrying out affinity pairing on the first user information and the second user information.
4. An information association method, comprising:
receiving a plurality of first position information uploaded by a first client and corresponding to first user information logged in the first client and a plurality of second position information uploaded by a second client and corresponding to second user information logged in the second client;
sequencing the plurality of first position information and the plurality of second position information according to the stopping times or the total stopping time of a preset period, and selecting the first position information and the second position information which are sequenced at the front preset number;
determining first area information corresponding to the selected first position information and second area information corresponding to the selected second position information, wherein the first area information or the second area information comprises: regional information obtained by regional division of the geographic position;
and if the first area information is matched with the second area information, associating the first user information with a preset number of second user information which are sorted in the order of the distance from small to large.
5. The method of claim 4, wherein receiving a plurality of first location information uploaded by a first client corresponding to first user information logged on the first client and a plurality of second location information uploaded by a second client corresponding to second user information logged on the second client comprises:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographical position where the second client stays.
6. The method according to claim 4, wherein the associating the first user information with the second user information if the first region information matches the second region information comprises:
and if the first area information is consistent with the second area information, carrying out affinity pairing on the first user information and the second user information.
7. An information associating apparatus, comprising:
the receiving unit is used for receiving a plurality of first position information uploaded by a first client and corresponding to first user information logged on the first client and a plurality of second position information uploaded by a second client and corresponding to second user information logged on the second client;
the sorting unit is used for sorting the first position information and the second position information according to the stopping times or the total stopping time of a preset period and selecting the first position information and the second position information which are sorted in the front preset number;
a first determining unit, configured to determine first attribute information corresponding to the selected first location information and second attribute information corresponding to the selected second location information, where the first attribute information or the second attribute information includes: attribute information obtained by attribute classification of the geographic position;
and the association unit is used for associating the first user information with the second user information when the first attribute information is matched with the second attribute information.
8. The apparatus of claim 7, wherein the receiving unit is configured to:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographical position where the second client stays.
9. The apparatus according to claim 7, wherein the apparatus is applied in a scene of a relative pair, and the associating unit is configured to:
and if the first attribute information is consistent with the second attribute information, carrying out affinity pairing on the first user information and the second user information.
10. An information associating apparatus, comprising:
the receiving unit is used for receiving a plurality of first position information uploaded by a first client and corresponding to first user information logged on the first client and a plurality of second position information uploaded by a second client and corresponding to second user information logged on the second client;
the sorting unit is used for sorting the first position information and the second position information according to the stopping times or the total stopping time of a preset period and selecting the first position information and the second position information which are sorted in the front preset number;
a first determining unit, configured to determine first area information corresponding to the selected first location information and second area information corresponding to the selected second location information, where the first area information or the second area information includes: regional information obtained by regional division of the geographic position;
and the association unit is used for associating the first user information with a preset number of second user information which are sequenced from small to large according to the distance when the first area information is matched with the second area information.
11. The apparatus of claim 10, wherein the receiving unit is configured to:
receiving first position information which is uploaded by a first client and corresponds to first user information logged in the first client and a geographical position where the first client stays, and second position information which is uploaded by a second client and corresponds to second user information logged in the second client and a geographical position where the second client stays.
12. The apparatus according to claim 10, wherein the apparatus is applied in a scene of a relative pair, and the associating unit is configured to:
and if the first area information is consistent with the second area information, carrying out affinity pairing on the first user information and the second user information.
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| CN111148215B (en) * | 2019-03-27 | 2021-06-25 | 广东小天才科技有限公司 | Positioning method and system of mobile equipment and related equipment |
| CN110191154B (en) * | 2019-04-29 | 2022-03-01 | 创新先进技术有限公司 | User tag determination method and device |
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| CN102202259A (en) * | 2011-05-30 | 2011-09-28 | 南京航空航天大学 | System and method for realizing GPS locus friend-making through nerve network path coupling |
| CN103096242A (en) * | 2011-11-03 | 2013-05-08 | 腾讯科技（深圳）有限公司 | User recommendation method and system based on location based services |
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