WO2021007757A1 - 用户识别方法及相关产品 - Google Patents
用户识别方法及相关产品 Download PDFInfo
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- WO2021007757A1 WO2021007757A1 PCT/CN2019/096045 CN2019096045W WO2021007757A1 WO 2021007757 A1 WO2021007757 A1 WO 2021007757A1 CN 2019096045 W CN2019096045 W CN 2019096045W WO 2021007757 A1 WO2021007757 A1 WO 2021007757A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/40—Network security protocols
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
Definitions
- This application relates to the field of communication technology, and specifically to a user identification method and related products.
- the method of user identification in the prior art is generally by comparing information published by two different accounts of the user, for example, extracting the first keyword set in the information published by the user's first account, and extracting the user's second account. For the second keyword set in the published information, it is determined whether the two accounts belong to the same user according to the occurrence probability of the same keywords in the first keyword set and the second keyword set.
- the two accounts of the same user are accounts registered on two different network platforms
- the information published by the two accounts may be of different types, or the two accounts are accounts registered on the same network platform.
- One is an account used in life and study, and the other is an account used in work.
- the two accounts will not publish similar information. Therefore, the result of identifying whether the two accounts belong to the same user may be inaccurate.
- the embodiments of the present application provide a user identification method and related products, which can perform user identification based on the associated account and device identification and the unassociated account and device identification, so that the user identification result can be obtained more accurately.
- an embodiment of the present application provides a user identification method, the method including:
- each first relationship pair in the plurality of first relationship pairs is aligned with other first relationship pairs ,
- the device identifier in each first relationship pair in the plurality of first relationship pairs is the same as the device identifier in other first relationship pairs;
- each second relationship pair in the plurality of second relationship pairs Accounts in the relationship pair are different from accounts in other second relationship pairs, and the device identifiers in each second relationship pair in the plurality of second relationship pairs are different from the device identifiers in other second relationship pairs;
- At least one reference user is determined according to the plurality of first relationship pairs, the at least one reference user corresponds to at least one first relationship pair set, and the at least one first relationship pair set corresponds to the at least one reference user on a one-to-one basis,
- Each first relationship pair set in the at least one first relationship pair set includes a plurality of first relationship pairs corresponding to the reference user;
- At least one target user is determined according to the at least one first relationship pair set and the plurality of second relationship pairs.
- an embodiment of the present application provides a user identification device, and the user identification device includes:
- the obtaining unit is configured to obtain the relationship pair between the account and the device identifier corresponding to each use period in the multiple use periods, to obtain the multiple relationship pairs;
- the dividing unit is configured to divide the plurality of relationship pairs into a plurality of first relationship pairs and a plurality of second relationship pairs, wherein the account number in each first relationship pair of the plurality of first relationship pairs is related to other
- the account numbers in the first relationship pair are the same, or the device identifiers in each first relationship pair in the plurality of first relationship pairs are the same as the device identifiers in other first relationship pairs; the plurality of second relationship pairs
- the account number in each second relationship pair is different from the account numbers in other second relationship pairs, and the device identification in each second relationship pair in the multiple second relationship pairs is the same as the device identification in other second relationship pairs All different
- the determining unit determines at least one reference user according to the plurality of first relationship pairs, the at least one reference user corresponds to at least one first relationship pair set, and the at least one first relationship pair set corresponds to the at least one reference user
- each first relationship pair set in the at least one first relationship pair set includes multiple first relationship pairs corresponding to the reference user
- the determining unit is configured to determine at least one target user according to the at least one first relationship pair set and the multiple second relationship pairs.
- an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured by Executed by a processor, and the foregoing program includes instructions for executing the steps in the first aspect of the embodiments of the present application.
- an embodiment of the present application provides a computer-readable storage medium, wherein the foregoing computer-readable storage medium stores a computer program for electronic data exchange, wherein the foregoing computer program enables a computer to execute Some or all of the steps described in one aspect.
- embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute Example part or all of the steps described in the first aspect.
- the computer program product may be a software installation package.
- FIG. 1A is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
- FIG. 1B is a schematic flowchart of a user identification method provided by an embodiment of the present application.
- FIG. 1C is a schematic diagram of a demonstration of constructing an account-identification relationship graph provided by an embodiment of the present application.
- FIG. 1D is a schematic diagram of a demonstration of dividing the account-identification relationship graph into multiple account-identification relationship sub-graphs according to an embodiment of the present application
- FIG. 1E is a schematic diagram of a reference feature relationship diagram provided by an embodiment of the present application.
- FIG. 2 is a schematic flowchart of another user identification method disclosed in an embodiment of the present application.
- FIG. 3 is a schematic flowchart of another user identification method disclosed in an embodiment of the present application.
- Fig. 4 is a schematic structural diagram of another electronic device disclosed in an embodiment of the present application.
- 5A is a schematic structural diagram of a user identification device disclosed in an embodiment of the present application.
- Fig. 5B is a modified structure of the user identification device shown in Fig. 5A disclosed in an embodiment of the present application.
- the electronic devices involved in the embodiments of the present application may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of user equipment (user equipment).
- equipment UE
- mobile station mobile station
- terminal device terminal device
- server etc.
- the devices mentioned above are collectively referred to as electronic devices. The following describes the embodiments of the present application in detail.
- FIG. 1A is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application.
- the electronic device 100 may include a control circuit, and the control circuit may include a storage and processing circuit 110.
- the storage and processing circuit 110 can be memory, such as hard disk drive memory, non-volatile memory (such as flash memory or other electronic programmable read-only memory used to form a solid-state drive, etc.), volatile memory (such as static or dynamic random access memory). Access to memory, etc.), etc., are not limited in the embodiment of the present application.
- the processing circuit in the storage and processing circuit 110 may be used to control the operation of the electronic device 100.
- the processing circuit can be implemented based on one or more microprocessors, microcontrollers, digital master-slave headset switching controllers, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, etc. .
- the storage and processing circuit 110 can be used to run software in the electronic device 100, such as Internet browsing applications, voice over internet protocol (VOIP) phone call applications, email applications, media playback applications, and operating system functions Wait. These softwares can be used to perform some control operations, for example, camera-based image capture, ambient light measurement based on ambient light sensors, proximity sensor measurement based on proximity sensors, and information based on status indicators such as LED status indicators Display functions, touch event detection based on touch sensors, functions associated with displaying information on multiple (eg layered) displays, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals , The control operations associated with the collection and processing of button press event data, and other functions in the electronic device 100, are not limited in the embodiment of the present application.
- the electronic device 100 may further include an input-output circuit 150.
- the input-output circuit 150 can be used to enable the electronic device 100 to implement data input and output, that is, allow the electronic device 100 to receive data from an external device and also allow the electronic device 100 to output data from the electronic device 100 to the external device.
- the input-output circuit 150 may further include a sensor 170.
- the sensor 170 may include an ambient light sensor, a proximity sensor based on light and capacitance, and a touch sensor (for example, a light-based touch sensor and/or a capacitive touch sensor, where the touch sensor may be a part of a touch screen, or may be used as a The touch sensor structure is used independently), acceleration sensor, gravity sensor, and other sensors.
- the input-output circuit 150 may also include one or more displays, such as the display 130.
- the display 130 may include one or a combination of a liquid crystal display, an organic light emitting diode display, an electronic ink display, a plasma display, and a display using other display technologies.
- the display 130 may include a touch sensor array (ie, the display 130 may be a touch display screen).
- the touch sensor can be a capacitive touch sensor formed by an array of transparent touch sensor electrodes (such as indium tin oxide (ITO) electrodes), or can be a touch sensor formed using other touch technologies, such as sonic touch, pressure-sensitive touch, and resistance Touch, optical touch, etc., are not limited in the embodiment of the present application.
- ITO indium tin oxide
- the audio component 140 may be used to provide audio input and output functions for the electronic device 100.
- the audio component 140 in the electronic device 100 may include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sounds.
- the communication circuit 120 may be used to provide the electronic device 100 with the ability to communicate with external devices.
- the communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals.
- the wireless communication circuit in the communication circuit 120 may include a radio frequency transceiver circuit, a power amplifier circuit, a low noise amplifier, a switch, a filter, and an antenna.
- the wireless communication circuit in the communication circuit 120 may include a circuit for supporting near field communication (NFC) by transmitting and receiving near-field coupled electromagnetic signals.
- the communication circuit 120 may include a near field communication antenna and a near field communication transceiver.
- the communication circuit 120 may also include a cellular phone transceiver and antenna, a wireless local area network transceiver circuit and antenna, and so on.
- the electronic device 100 may further include a battery, a power management circuit, and other input-output units 160.
- the input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes, and other status indicators.
- the user can input commands through the input-output circuit 150 to control the operation of the electronic device 100, and can use the output data of the input-output circuit 150 to realize receiving status information and other outputs from the electronic device 100.
- FIG. 1B is a schematic flowchart of a user identification method provided by an embodiment of the present application.
- the user identification method described in this embodiment includes:
- the aforementioned account refers to an account registered by a user on a network platform, for example, an account registered when a user uses an application on an electronic device.
- the above-mentioned device identifier refers to the electronic device that logs in to the account when using the account.
- the device identifier can be, for example, the International Mobile Equipment Identity IMEI.
- each of the aforementioned multiple relationship pairs is used to indicate the relationship of using the corresponding account on the electronic device to which the corresponding device identifier belongs during the corresponding use time period.
- the first period of use if the first account is logged in on the first device, the relationship pair between the first account and the first device ID can be obtained.
- the second period of use the first account is logged in on the second device. With one account, the relationship between the first account and the second device identification can be obtained.
- the third use period if the third account is logged in on the second device, the relationship between the third account and the second device identification can be obtained.
- the fourth usage period if you log in the second account on the first device, you can obtain the relationship pair between the second account and the first device ID, and so on, you can get the corresponding Multiple different relationship pairs.
- the multiple relationship pairs can be divided into multiple first relationship pairs and multiple second relationship pairs according to the relevance between the multiple relationship pairs, wherein each of the multiple first relationship pairs
- the account in the first relationship pair is the same as the account in the other first relationship pairs, or the device ID in each first relationship pair in the plurality of first relationship pairs is the same as the device ID in the other first relationship pairs
- the first account is logged in on the first device, and the relationship pair between the first account and the first device ID can be obtained.
- the first account is logged in on the second device.
- the relationship pair between the first account and the second device ID can be obtained, indicating that the accounts in the two relationship pairs are the same but the device IDs are different; for another example, during the second use period, the first device is logged in on the second device.
- One account the relationship between the first account and the second device identifier can be obtained, and the third account is logged on the second device during the third use period, and the relationship between the third account and the second device identifier can be obtained Yes, it indicates that the device IDs in the two relationship pairs are the same but the account numbers are different, so that the above three relationship pairs can be divided into the first relationship pair.
- the account number in each second relationship pair in the plurality of second relationship pairs is different from the account number in the other second relationship pairs, and the device identification in each second relationship pair in the plurality of second relationship pairs is different from the other
- the device identifiers in the second relationship pair are all different. For example, in the time period t1-t2, when account a is logged in to device A, the relationship pair between account a and device identification A can be obtained, except for the relationship pair between account a and device identification A. In addition, no other relationship pair contains account a or device identification A, that is, account a and device identification A appear only once in all relationship pairs. This type of relationship pair can be divided into a second relationship pair, thus, multiple first relationship pairs Each second relationship pair in the two relationship pairs is not related to the other relationship pairs.
- each first relationship pair set in the at least one first relationship pair set includes a plurality of first relationship pairs corresponding to the reference user.
- the multiple first relationship pairs may correspond to the same user or may correspond to different users.
- the first user is on the first device. If you use the first account on the second use period, the first user logs in to the first account on the second device, and can use it according to the first account use information corresponding to the first use period and the second account corresponding to the second use period The information determines whether the first usage period and the second usage period are the same user. Therefore, at least one reference user may be determined for a plurality of first relationship pairs that are associated.
- determining at least one reference user according to the plurality of first relationship pairs may include the following steps 31 to 36:
- the account-identification relationship graph may be constructed according to the association relationship between the multiple first relationship pairs. Specifically, different relationship pairs with the same account may be connected, and different relationship pairs with the same device identification may be connected.
- constructing an account-identification relationship graph based on the multiple first relationship pairs may include the following steps:
- the account in the first relationship pair can be connected with the same account of other first relationship pairs with the same account, so that multiple first relationship pairs can be connected.
- a relationship pair is connected into an account-identification relationship graph, as shown in FIG. 1C, which is a demonstration diagram for constructing an account-identification relationship graph provided by this embodiment of the application.
- the above account-identification relationship graph is obtained by connecting multiple first relationship pairs based on the same account or device identifier. Therefore, a combination of relationship pairs with the same device identifier and different accounts can be selected, that is, each relationship The pair combination includes two relationship pairs with the same device identifier and different accounts.
- the first relationship pair corresponding to the first use period D1 and the first relationship pair corresponding to the fourth use period D4 have the same
- the device identifier i1 can select the relationship pair combination composed of two first relationship pairs corresponding to D1 and D4; the first relationship pair corresponding to the second use period D2 and the first relationship pair corresponding to the third use period D3 are identical
- the device identifier i2 of can select the relationship pair combination composed of two first relationship pairs corresponding to D2 and D3.
- A1. Determine whether two usage periods corresponding to the two accounts included in the relationship pair combination i have overlapping periods, where the relationship pair combination i is any relationship pair combination in the at least one relationship pair combination;
- A3. Determine the first similarity between the two accounts according to the two first feature sets
- the two first relationship pairs include the same device identifier and two different accounts, so that it can be determined whether there is a coincidence period for the use periods corresponding to the two accounts. If there is a coincidence period, and coincide The time period is greater than or equal to the preset duration, indicating that the two accounts may belong to the same user.
- the account usage information corresponding to each of the two accounts used on the electronic device corresponding to the same device identification can be obtained, and the two account usage information can be obtained.
- feature extraction is performed on the two account usage information to obtain two Each first feature set corresponds to an account.
- the first similarity between the two accounts can be determined according to the two first feature sets.
- the two first feature sets can be The feature performs feature matching to obtain the first matching value. If the first matching value exceeds the preset matching value, the first similarity corresponding to the first matching value can be determined according to the correspondence between the preset matching value and the similarity. The first similarity is greater than or equal to the first preset threshold, indicating that the two accounts may belong to the same user.
- the coincidence period between the two usage periods is less than the preset duration, it indicates that the two accounts may not belong to the same user, and it can be determined that the relationship pair combination i satisfies the first A target relationship pair combination with preset conditions.
- the coincidence period between the two use periods is less than the preset duration, including the case where the coincidence period between the two use periods is 0. In this case, there is no coincidence period between the two use periods.
- the account-identification relationship graph includes multiple user-corresponding relationship pairs. Therefore, it is necessary The account-identification relationship graph is divided to obtain multiple account-identification relationship sub-graphs.
- step 34 dividing the account-identification relationship graph into a plurality of account-identification relationship sub-graphs according to the at least one target relationship pair combination may include the following steps:
- At least one target relationship pair in the account-identification relationship graph that satisfies the first preset condition can be split into each target relationship combination pair in the combination, as shown in FIG. 1D, which is a combination provided in this embodiment of the application.
- the account-identification relationship graph is divided into multiple account-identification relationship sub-graphs.
- the relationship pair composed of two first relationship pairs corresponding to D1 and D4 is the combination that meets the first preset condition
- the target relationship pair is combined. Therefore, the connected relationship pair can be split to obtain the split map of the 2 account-identification relationship.
- each account-identification relationship sub-graph of the multiple account-identification relationship sub-graphs there is no target relationship pair combination that meets the first preset condition, indicating that each account-identification relationship sub-graph of the multiple account-identification relationship sub-graphs is possible
- the reference user corresponding to each account-identification relationship sub-graph in the multiple account-identification relationship sub-graphs can be determined, and multiple reference users are obtained, where each reference user corresponds to the account-identification relationship sub-graph.
- the map includes a plurality of first relationship pairs. Therefore, each reference user corresponds to a first relationship pair set including a plurality of first relationship pairs.
- the relationship graph corresponds to the same reference user, and the same reference user corresponds to a first relationship pair set composed of multiple first relationship pairs.
- the at least one reference user determined in step 103 cannot be used as the final user identification.
- at least one first relationship pair set corresponding to at least one reference user can be regarded as a set of unrelated relationship pairs. Therefore, at least one first relationship pair set that is not related to each other and a plurality of unrelated relationship pair sets
- the second relationship pair determines at least one target user, and uses the at least one target user as a user identification result, so that a more accurate user identification result can be obtained.
- determining at least one target user according to the at least one first relationship pair set and the multiple second relationship pairs may include the following steps:
- the feature set corresponding to each first relationship pair set in the acquired at least one first relationship pair set is taken as the second feature set, and each of the multiple acquired second relationship pairs
- the feature set corresponding to the second relationship pair serves as the second feature set, so that multiple second feature sets can be obtained.
- the foregoing preset algorithm may include at least one of the following: a neighbor (k-Nearest Neighbor, KNN) algorithm, a mean (k-means clustering, K-means) algorithm, and a density-based clustering algorithm (Density-Based Spatial Clustering of Applications with Noise, DBscan) and so on.
- KNN k-Nearest Neighbor
- K-means clustering K-means
- DBscan Density-Based Spatial Clustering of Applications with Noise
- the at least one category has a one-to-one correspondence, and each similarity set in the at least one similarity set includes a plurality of second similarities;
- multiple second feature sets included in the category can be judged, and the second similarity between every two second feature sets can be determined to obtain a similarity set containing multiple similarities, and thus, At least one similarity set corresponding to at least one class.
- the multiple second feature sets included in the category may be grouped according to multiple second similarities in the similarity set corresponding to the category.
- the multiple second feature sets of the corresponding category are grouped according to multiple second similarities in the corresponding similarity set of each category in the at least one category to obtain multiple groups. It includes the following steps:
- FIG. 1E is a demonstration diagram of a reference feature relationship map provided in an embodiment of the application. Including 4 second feature sets, J1-J5 represent 5 different second feature sets, T1, T2, T3,...
- J1 and J2 represent the features included in the second feature set, where the second feature set J1 and the second feature
- the similarity between sets J2 is greater than the second preset threshold
- the similarity between the second feature set J2 and the second feature set J3 is greater than the second preset threshold
- the similarity between the second feature set J4 and the second feature set J5 It is greater than the second preset threshold. Therefore, J1 and J2 can be connected, J2 and J3 can be connected, and J4 and J5 can be connected, and two reference feature relationship maps can be obtained.
- the multiple second feature sets corresponding to each reference feature relationship map in the at least one feature reference relationship map can be divided into a group to obtain at least one group, that is, each reference feature relationship map corresponds to a group, and the group includes the reference Multiple second feature sets corresponding to the feature relationship map.
- the target user corresponding to each group in at least one group can be determined to obtain at least one target user, wherein each group includes multiple second features
- the set belongs to a feature set of a target user, where multiple second feature sets in each group are obtained by feature extraction based on multiple account usage information of multiple accounts used by the same target user. Therefore, multiple relationship pairs can be determined The multiple accounts corresponding to the multiple second feature sets in each group belong to the same user.
- a user portrait corresponding to the first target user may be constructed according to multiple first target feature sets corresponding to the first target user, wherein the first target user Each first target feature set in the corresponding multiple first target feature sets is extracted from the account usage information in a relationship pair.
- the target feature set constructs the user portrait of the first target user.
- the same features in multiple first target feature sets can be connected to obtain the target feature relationship map, and then the user portrait of the first target user is constructed according to the target feature relationship map .
- the first target user and the second target user are two different users.
- it may be based on multiple second target feature sets and multiple first target features.
- the set and the preset judgment rule determine the user relationship between the first target user and the second target user, for example, multiple second target feature sets, multiple first target feature sets, and the geographic location features are the same and/or When the IP address is the same, it can be determined that the first target user and the second target user are relatives.
- the characteristics of the first target user such as the first age, gender, and occupation, and the second target user.
- the user's second age, second gender, second occupation and other characteristics determine whether the first target user and the second target user are husband and wife, or parent-child relationship.
- the user identification method described in the embodiment of the present application obtains multiple relationship pairs by obtaining the relationship pair between the account and the device identification corresponding to each use period in the multiple use periods. Divided into a plurality of first relationship pairs and a plurality of second relationship pairs, determine at least one reference user based on the plurality of first relationship pairs, determine at least one target user based on the at least one first relationship pair set and the plurality of second relationship pairs, In this way, user identification can be performed based on the associated account and device identification and the unassociated account and device identification, so that the user identification result can be obtained more accurately.
- FIG. 2 is a schematic flowchart of another user identification method provided by an embodiment of the present application.
- the user identification method described in this embodiment is applied to an electronic device.
- the method may include the following step:
- the user identification method described in the embodiment of the present application obtains multiple relationship pairs by obtaining the relationship pair between the account and the device identification corresponding to each use period in the multiple use periods. Divided into a plurality of first relationship pairs and a plurality of second relationship pairs, construct an account-identification relationship map according to the plurality of first relationship pairs, and select a combination of relationship pairs with the same device identifier and different accounts from the account-identification relationship map, Obtain at least one relationship pair combination, and if there is at least one target relationship pair combination satisfying the first preset condition in the at least one relationship pair combination, divide the account-identification relationship graph into multiple account-identification relationships according to the at least one target relationship pair combination To determine the reference user corresponding to each account-identification relationship sub-graph of the multiple account-identification relationship sub-graphs, and obtain multiple reference users, if at least one relationship pair combination does not have a target relationship that meets the first preset condition For the combination, determine the same reference user corresponding to the account-identification relationship map, and determine at least one relationship pair
- FIG. 3 is a schematic flowchart of an embodiment of another user identification method provided by an embodiment of this application.
- the user identification method described in this embodiment may include the following steps:
- the at least one category has a one-to-one correspondence, and each similarity set in the at least one similarity set includes a plurality of second similarities.
- the user identification method described in the embodiment of the application obtains multiple relationship pairs by obtaining the relationship pair between the account and the device identifier corresponding to each use period in the multiple use periods, and divides the multiple relationship pairs into multiple
- the first relationship pair and the plurality of second relationship pairs are used to construct an account-identification relationship map based on the plurality of first relationship pairs, and from the account-identification relationship map, select relationship pairs with the same device identifier and different accounts to obtain at least one relationship
- For combinations if there is at least one target relationship pair combination that meets the first preset condition in at least one relationship pair combination, divide the account-identification relationship graph into multiple account-identification relationship sub-graphs according to the at least one target relationship pair combination, and determine A reference user corresponding to each account-identification relationship sub-graph in the multiple account-identification relationship sub-graphs is obtained, and multiple reference users are obtained.
- the account-identification relationship map corresponds to the same reference user, obtain the second feature set corresponding to each first relationship pair set, and obtain the second feature set corresponding to each second relationship pair, to obtain multiple second feature sets, according to The preset algorithm clusters multiple second feature sets to obtain at least one category, determines the second similarity between every two second feature sets in the multiple second feature sets contained in each category, and obtains at least one similarity Degree set, group multiple second feature sets of the corresponding category according to multiple second similarities in the corresponding similarity set of each category to obtain at least one group, determine the target user corresponding to each group, and obtain at least one target
- users can first determine at least one reference user by constructing a relationship graph, and then determine at least one target user according to the similarity between feature sets, so that the user identification result can be obtained more accurately.
- FIG. 4 is an electronic device 400 provided by an embodiment of the present application, including: a processor 410, a memory 420, a communication interface 430, and one or more programs 421, the one or more A program 421 is stored in the memory 420 and is configured to be executed by the processor 410, and the program includes instructions for executing the following steps:
- each first relationship pair in the plurality of first relationship pairs is aligned with other first relationship pairs ,
- the device identifier in each first relationship pair in the plurality of first relationship pairs is the same as the device identifier in other first relationship pairs;
- each second relationship pair in the plurality of second relationship pairs Accounts in the relationship pair are different from accounts in other second relationship pairs, and the device identifiers in each second relationship pair in the plurality of second relationship pairs are different from the device identifiers in other second relationship pairs;
- At least one reference user is determined according to the plurality of first relationship pairs, the at least one reference user corresponds to at least one first relationship pair set, and the at least one first relationship pair set corresponds to the at least one reference user on a one-to-one basis,
- Each first relationship pair set in the at least one first relationship pair set includes a plurality of first relationship pairs corresponding to the reference user;
- At least one target user is determined according to the at least one first relationship pair set and the plurality of second relationship pairs.
- the program 421 includes instructions for executing the following steps:
- each relationship pair combination in the at least one relationship pair combination includes those with the same device identifier and different account numbers Two relationship pairs;
- the same reference user corresponding to the account-identification relationship graph is determined.
- the program 421 includes instructions for executing the following steps:
- the program 421 further includes instructions for executing the following steps:
- relationship pair combination i Determining whether there are overlapping periods of time between two usage periods corresponding to two accounts included in the relationship pair combination i, where the relationship pair combination i is any relationship pair combination in the at least one relationship pair combination;
- the relationship pair combination i is a target that meets the first preset condition Relationship pair combination.
- the program 421 includes a method for performing the following steps: instruction:
- the program 421 includes instructions for executing the following steps:
- the second similarity between every two second feature sets contained in each of the at least one class is determined to obtain at least one similarity set, and the at least one similarity set is similar to the At least one category has a one-to-one correspondence, and each similarity set in the at least one similarity set includes multiple second similarities;
- the target user corresponding to each group in the at least one group is determined to obtain at least one target user.
- the multiple second feature sets of the corresponding category are grouped according to multiple second similarities in the corresponding similarity set of each category in the at least one category to obtain multiple grouping aspects
- the program 421 includes instructions for executing the following steps:
- the multiple second feature sets corresponding to each reference feature relationship graph in the at least one feature reference relationship graph are divided into one group to obtain at least one group.
- the program 421 further includes instructions for executing the following steps:
- the program 421 further includes instructions for executing the following steps:
- the user relationship between the first target user and the second target user is determined according to the multiple second target feature sets, the multiple first target feature sets, and a preset judgment rule.
- FIG. 5A is a schematic structural diagram of a user identification device provided by this embodiment.
- the user identification device is applied to an electronic device as shown in FIG. 1A, and the user identification device includes an acquisition unit 501, an operation unit 502, and a determination unit 503, wherein,
- the obtaining unit 501 is configured to obtain a relationship pair between an account and a device identifier corresponding to each use period in a plurality of use periods, to obtain a plurality of relationship pairs;
- the dividing unit 502 is configured to divide the plurality of relationship pairs into a plurality of first relationship pairs and a plurality of second relationship pairs, wherein each of the plurality of first relationship pairs
- the account number is the same as the account number in the other first relationship pairs, or the device identification in each first relationship pair in the plurality of first relationship pairs is the same as the device identification in the other first relationship pairs;
- the account in each second relationship pair in the two relationship pairs is different from the accounts in other second relationship pairs, and the device identification in each second relationship pair in the multiple second relationship pairs is aligned with other second relationship pairs
- the device identifiers are different;
- the user determines at least one reference user according to the plurality of first relationship pairs, the at least one reference user corresponds to at least one first relationship pair set, and the at least one first relationship pair set corresponds to the at least one One reference user has a one-to-one correspondence, and each first relationship pair set in the at least one first relationship pair set includes multiple first relationship pairs corresponding to the reference user;
- the determining unit 503 is configured to determine at least one target user according to the at least one first relationship pair set and the multiple second relationship pairs.
- the determining unit 503 is specifically configured to:
- each relationship pair combination in the at least one relationship pair combination includes those with the same device identifier and different account numbers Two relationship pairs;
- the same reference user corresponding to the account-identification relationship graph is determined.
- the determining unit 503 is specifically configured to:
- the determining unit 503 is further configured to:
- relationship pair combination i Determining whether there are overlapping periods of time between two usage periods corresponding to two accounts included in the relationship pair combination i, where the relationship pair combination i is any relationship pair combination in the at least one relationship pair combination;
- the relationship pair combination i is a target that meets the first preset condition Relationship pair combination.
- the determining unit 503 is specifically configured to:
- the determining unit 503 is specifically configured to:
- the second similarity between every two second feature sets contained in each of the at least one class is determined to obtain at least one similarity set, and the at least one similarity set is similar to the At least one category has a one-to-one correspondence, and each similarity set in the at least one similarity set includes multiple second similarities;
- the target user corresponding to each group in the at least one group is determined to obtain at least one target user.
- the The determining unit 503 is specifically used for:
- the multiple second feature sets corresponding to each reference feature relationship graph in the at least one feature reference relationship graph are divided into one group to obtain at least one group.
- FIG. 5B is a modified structure of the user identification device shown in FIG. 5A. Compared with FIG. 5A, it may further include: a connection unit 504 and a construction unit 505, wherein,
- the acquiring unit 501 is further configured to acquire multiple first target feature sets corresponding to the first target user, where the multiple first target feature sets are part of the multiple second feature sets, and the first A target user is any target user among the at least one target user;
- the user connects the same features in the multiple first target feature sets to obtain a target feature relationship map
- the construction unit 505 is configured to construct a user portrait of the first target user according to the target feature relationship graph.
- the acquiring unit 501 is further configured to acquire multiple second target feature sets corresponding to the second target user, where the multiple second target feature sets are part of the multiple second feature sets ,
- the second target user is any target user other than the first target user among the at least one target user;
- the determining unit 503 is further configured to determine the relationship between the first target user and the second target user according to the plurality of second target feature sets, the plurality of first target feature sets, and a preset judgment rule. User relationship.
- the user identification device described in the embodiment of the present application obtains multiple relationship pairs by obtaining the relationship pair between the account and the device identifier corresponding to each use period in the multiple use periods. Divided into a plurality of first relationship pairs and a plurality of second relationship pairs, determine at least one reference user based on the plurality of first relationship pairs, determine at least one target user based on the at least one first relationship pair set and the plurality of second relationship pairs, In this way, user identification can be performed based on the associated account and device identification and the unassociated account and device identification, so that the user identification result can be obtained more accurately.
- each program module of the user identification device of this embodiment can be implemented according to the method in the above method embodiment, and the specific implementation process can be referred to the relevant description of the above method embodiment, which will not be repeated here.
- An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to execute any part of the user identification method described in the above method embodiment Or all steps.
- the embodiments of the present application also provide a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the method described in the foregoing method embodiment Part or all of the steps of any user identification method.
- the disclosed device may be implemented in other ways.
- the device embodiments described above are only illustrative.
- the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not implemented.
- the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical or other forms.
- the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
- each unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
- the above-mentioned integrated unit can be realized in the form of hardware or software program module.
- the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer readable memory.
- the technical solution of the present application essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, A number of instructions are included to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application.
- the aforementioned memory includes: U disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), mobile hard disk, magnetic disk, or optical disk and other media that can store program codes.
- the program can be stored in a computer-readable memory, and the memory can include: flash disk , ROM, RAM, magnetic disk or CD, etc.
Abstract
Description
Claims (20)
- 一种用户识别方法,其特征在于,所述方法包括:获取多个使用时段中每一使用时段对应的账号和设备标识之间的关系对,得到多个关系对;将所述多个关系对划分为多个第一关系对和多个第二关系对,其中,所述多个第一关系对中每一第一关系对中的账号与其他第一关系对中的账号相同,或者,所述多个第一关系对中每一第一关系对中的设备标识与其他第一关系对中的设备标识相同;所述多个第二关系对中每一第二关系对中的账号与其他第二关系对中的账号均不同,且多个第二关系对中每一第二关系对中的设备标识与其他第二关系对中的设备标识均不同;根据所述多个第一关系对确定至少一个参考用户,所述至少一个参考用户对应至少一个第一关系对集合,所述至少一个第一关系对集合与所述至少一个参考用户一一对应,所述至少一个第一关系对集合中每一第一关系对集合包含对应参考用户的多个第一关系对;根据所述至少一个第一关系对集合和所述多个第二关系对确定至少一个目标用户。
- 根据权利要求1所述的方法,其特征在于,所述根据所述多个第一关系对确定至少一个参考用户,包括:根据所述多个第一关系对构建账号-标识关系图谱;从所述账号-标识关系图谱中选取设备标识相同,且账号不同的关系对组合,得到至少一个关系对组合,所述至少一个关系对组合中每一关系对组合包含设备标识相同且账号不同的两个关系对;若所述至少一个关系对组合中存在满足第一预设条件的至少一个目标关系对组合;根据所述至少一个目标关系对组合将所述账号-标识关系图谱划分为多个账号-标识关系分图谱;确定所述多个账号-标识关系分图谱中每一账号-标识关系分图谱对应的参考用户,得到多个参考用户;若所述至少一个关系对组合中不存在满足所述第一预设条件的目标关系对组合,确定所述账号-标识关系图谱对应的同一参考用户。
- 根据权利要求2所述的方法,其特征在于,所述根据所述多个第一关系对构建账号-标识关系图谱,包括:将所述多个第一关系对中每两个存在相同设备标识和不同账号的关系对进行连接,以及将所述多个第一关系对中每两个存在相同账号和不同设备标识的关系对进行连接,得到所述账号-标识关系图谱。
- 根据权利要求2或3所述的方法,其特征在于,所述方法还包括:确定关系对组合i包含的两个账号对应的两个使用时段是否存在重合时段,所述关系对组合i为所述至少一个关系对组合中任一关系对组合;获取所述关系对组合i包含的所述两个账号在所述设备标识对应的电子设备上的两个第一特征集;根据所述两个第一特征集确定所述两个账号之间的第一相似度;若所述第一相似度小于第一预设阈值,且,所述两个使用时段之间的重合时段小于预设时长,确定所述关系对组合i为满足所述第一预设条件的目标关系对组合。
- 根据权利要求2-4任一项所述的方法,其特征在于,所述根据所述至少一个目标关系对组合将所述账号-标识关系图谱划分为多个账号-标识关系分图谱,包括:将所述账号-标识关系图谱中满足所述第一预设条件的至少一个目标关系对组合中每一目标关系组合对进行拆分,得到多个账号-标识关系分图谱。
- 根据权利要求1-5任一项所述的方法,其特征在于,所述根据所述至少一个第一关系对集合和所述多个第二关系对确定至少一个目标用户,包括:获取所述至少一个第一关系对集合中每一第一关系对集合对应的第二特征集,以及获取所述多个第二关系对中每一第二关系对对应的第二特征集,得到多个第二特征集;根据预设算法将所述多个第二特征集进行聚类,得到至少一个类;确定所述至少一个类中每一类包含的多个第二特征集中每两个第二特征集之间的第二相似度,得到至少一个相似度集,所述至少一个相似度集与所述至少一个类一一对应,所述至少一个相似度集中每一相似度集包含多个第二相似度;根据所述至少一个类中每一类对应的相似度集中的多个第二相似度将对应类的多个第二特征集进行分组,得到至少一个分组;确定所述至少一个分组中每一分组对应的目标用户,得到至少一个目标用户。
- 根据权利要求6所述的方法,其特征在于,所述根据所述至少一个类中每一类对应的相似度集中的多个第二相似度将对应类的多个第二特征集进行分组,得到多个分组,包括:确定所述至少一个类中每一类对应的相似度集中的多个第二相似度中满足大于第二预设阈值的多个目标第二相似度,将所述至少一个类中每一类对应的相似度集中的多个目标第二相似度中每一目标第二相似度对应的两个第二特征集进行连接,得到至少一个参考特征关系图谱;将所述至少一个特征参考关系图谱中每一参考特征关系图谱对应的多个第二特征集划分为一组,得到至少一个分组。
- 根据权利要求6或7所述的方法,其特征在于,所述方法还包括:获取第一目标用户对应的多个第一目标特征集,所述多个第一目标特征集为所述多个第二特征集中的部分特征集,所述第一目标用户为所述至少一个目标用户中的任一目标用户;将所述多个第一目标特征集中的相同特征进行连接,得到目标特征关系图谱;根据所述目标特征关系图谱构建所述第一目标用户的用户画像。
- 根据权利要求8所述的方法,其特征在于,获取第二目标用户对应的多个第二目标特征集,所述多个第二目标特征集为所述多个第二特征集中的部分特征集,所述第二目标用户为所述至少一个目标用户中除所述第一目标用户以外的任一目标用户;根据所述多个第二目标特征集、所述多个第一目标特征集和预设判断规则确定所述第一目标用户和所述第二目标用户之间的用户关系。
- 一种用户识别装置,其特征在于,所述用户识别装置包括:获取单元,用于获取多个使用时段中每一使用时段对应的账号和设备标识之间的关系对,得到多个关系对;划分单元,用于将所述多个关系对划分为多个第一关系对和多个第二关系对,其中,所述多个第一关系对中每一第一关系对中的账号与其他第一关系对中的账号相同,或者,所述多个第一关系对中每一第一关系对中的设备标识与其他第一关系对中的设备标识相同;所述多个第二关系对中每一第二关系对中的账号与其他第二关系对中的账号均不同,且多个第二关系对中每一第二关系对中的设备标识与其他第二关系对中的设备标识均不同;确定单元,用户根据所述多个第一关系对确定至少一个参考用户,所述至少一个参考用户对应至少一个第一关系对集合,所述至少一个第一关系对集合与所述至少一个参考用户一一对应,所述至少一个第一关系对集合中每一第一关系对集合包含对应参考用户的多 个第一关系对;所述确定单元,用于根据所述至少一个第一关系对集合和所述多个第二关系对确定至少一个目标用户。
- 根据权利要求10所述的装置,其特征在于,在所述根据所述多个第一关系对确定至少一个参考用户方面,所述确定单元具体用于:根据所述多个第一关系对构建账号-标识关系图谱;从所述账号-标识关系图谱中选取设备标识相同,且账号不同的关系对组合,得到至少一个关系对组合,所述至少一个关系对组合中每一关系对组合包含设备标识相同且账号不同的两个关系对;若所述至少一个关系对组合中存在满足第一预设条件的至少一个目标关系对组合;根据所述至少一个目标关系对组合将所述账号-标识关系图谱划分为多个账号-标识关系分图谱;确定所述多个账号-标识关系分图谱中每一账号-标识关系分图谱对应的参考用户,得到多个参考用户;若所述至少一个关系对组合中不存在满足所述第一预设条件的目标关系对组合,确定所述账号-标识关系图谱对应的同一参考用户。
- 根据权利要求11所述的装置,其特征在于,在所述根据所述多个第一关系对构建账号-标识关系图谱方面,所述确定单元具体用于:将所述多个第一关系对中每两个存在相同设备标识和不同账号的关系对进行连接,以及将所述多个第一关系对中每两个存在相同账号和不同设备标识的关系对进行连接,得到所述账号-标识关系图谱。
- 根据权利要求11或12所述的装置,其特征在于,所述确定单元还用于:确定关系对组合i包含的两个账号对应的两个使用时段是否存在重合时段,所述关系对组合i为所述至少一个关系对组合中任一关系对组合;获取所述关系对组合i包含的所述两个账号在所述设备标识对应的电子设备上的两个第一特征集;根据所述两个第一特征集确定所述两个账号之间的第一相似度;若所述第一相似度小于第一预设阈值,且,所述两个使用时段之间的重合时段小于预设时长,确定所述关系对组合i为满足所述第一预设条件的目标关系对组合。
- 根据权利要求11-13任一项所述的装置,其特征在于,在所述根据所述至少一个目标关系对组合将所述账号-标识关系图谱划分为多个账号-标识关系分图谱方面,所述确定单元具体用于:将所述账号-标识关系图谱中满足所述第一预设条件的至少一个目标关系对组合中每一目标关系组合对进行拆分,得到多个账号-标识关系分图谱。
- 根据权利要求10-14任一项所述的装置,其特征在于,在所述根据所述至少一个第一关系对集合和所述多个第二关系对确定至少一个目标用户方面,所述确定单元具体用于:获取所述至少一个第一关系对集合中每一第一关系对集合对应的第二特征集,以及获取所述多个第二关系对中每一第二关系对对应的第二特征集,得到多个第二特征集;根据预设算法将所述多个第二特征集进行聚类,得到至少一个类;确定所述至少一个类中每一类包含的多个第二特征集中每两个第二特征集之间的第二相似度,得到至少一个相似度集,所述至少一个相似度集与所述至少一个类一一对应,所述至少一个相似度集中每一相似度集包含多个第二相似度;根据所述至少一个类中每一类对应的相似度集中的多个第二相似度将对应类的多个第二特征集进行分组,得到至少一个分组;确定所述至少一个分组中每一分组对应的目标用户,得到至少一个目标用户。
- 根据权利要求15所述的装置,其特征在于,在所述根据所述至少一个类中每一类对应的相似度集中的多个第二相似度将对应类的多个第二特征集进行分组,得到多个分组方面,所述确定单元具体用于:确定所述至少一个类中每一类对应的相似度集中的多个第二相似度中满足大于第二预设阈值的多个目标第二相似度,将所述至少一个类中每一类对应的相似度集中的多个目标第二相似度中每一目标第二相似度对应的两个第二特征集进行连接,得到至少一个参考特征关系图谱;将所述至少一个特征参考关系图谱中每一参考特征关系图谱对应的多个第二特征集划分为一组,得到至少一个分组。
- 根据权利要求16所述的装置,其特征在于,所述装置还包括连接单元和构建单元,其中,所述获取单元,还用于获取第一目标用户对应的多个第一目标特征集,所述多个第一目标特征集为所述多个第二特征集中的部分特征集,所述第一目标用户为所述至少一个目标用户中的任一目标用户;所述连接单元,用户将所述多个第一目标特征集中的相同特征进行连接,得到目标特征关系图谱;所述构建单元,用于根据所述目标特征关系图谱构建所述第一目标用户的用户画像。
- 一种电子设备,其特征在于,包括处理器、存储器、通信接口,以及一个或多个程序,所述一个或多个程序被存储在所述存储器中,并且被配置由所述处理器执行,所述程序包括用于执行如权利要求1-9任一项所述的方法中的步骤的指令。
- 一种计算机可读存储介质,其特征在于,存储用于电子数据交换的计算机程序,其中,所述计算机程序使得计算机执行如权利要求1-9任一项所述的方法。
- 一种计算机程序产品,其特征在于,所述计算机程序产品包括存储了计算机程序的计算机可读存储介质,所述计算机程序使得计算机执行如权利要求1-9任一项所述的方法。
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