CN109413439B - Method for determining suspected user and related equipment - Google Patents

Method for determining suspected user and related equipment Download PDF

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CN109413439B
CN109413439B CN201811163287.4A CN201811163287A CN109413439B CN 109413439 B CN109413439 B CN 109413439B CN 201811163287 A CN201811163287 A CN 201811163287A CN 109413439 B CN109413439 B CN 109413439B
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CN109413439A (en
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王璐
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Wuhan Douyu Network Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
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    • H—ELECTRICITY
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    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
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Abstract

The embodiment of the invention provides a method for determining a suspected user and related equipment, which are used for identifying the suspected user with unobvious characteristics in a live broadcast platform. The method comprises the following steps: acquiring a live broadcast room concerned by a target user in a live broadcast platform; calculating the similarity between any two live broadcast rooms in the live broadcast rooms concerned by the target user; calculating the synchronicity index of the target user and the normality index of the target user based on the similarity of any two live broadcast rooms in the live broadcast rooms concerned by the target user; judging whether the synchronicity index of the target user and the normality index of the target user simultaneously meet preset conditions; and if so, determining that the target user is a suspected user, wherein the suspected user is a user who swipes the people in the live broadcast platform.

Description

Method for determining suspected user and related equipment
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to a method for determining a suspected user and a related device.
Background
With the progress of network communication technology and the increasing speed of broadband networks, the video live broadcast technology is developed and applied more and more.
On a live broadcast platform, false brushing attention behaviors often exist for achieving certain purposes, and the brushing attention behaviors can greatly affect the live broadcast ecology of the platform. There is therefore a need for effective methods to identify those users who have suspicion of brushing attention.
The method for identifying abnormal brushing attention behaviors usually adopts some strong rules, and the rules are identified through some obvious abnormalities. Some dangerous users can be identified by adopting a strong rule method, however, in order to avoid killing by mistake, the rule is set to be very strict, so that only cheating users with obvious characteristics can be found, and suspected users with other characteristics which are not obvious can be omitted.
Disclosure of Invention
The embodiment of the invention provides a method for determining a suspected user and related equipment, which are used for identifying the suspected user with unobvious characteristics in a live broadcast platform and purifying a live broadcast network environment.
A first aspect of an embodiment of the present invention provides a method for determining a suspected user, including:
acquiring a live broadcast room concerned by a target user in a live broadcast platform;
calculating the similarity between any two live broadcast rooms in the live broadcast rooms concerned by the target user;
calculating the synchronicity index of the target user and the normality index of the target user based on the similarity of any two live broadcast rooms in the live broadcast rooms concerned by the target user;
judging whether the synchronicity index of the target user and the normality index of the target user simultaneously meet preset conditions;
and if so, determining that the target user is a suspected user, wherein the suspected user is a user who swipes the people in the live broadcast platform.
Optionally, the calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user includes:
obtaining an attention index of a live broadcast room concerned by the target user;
calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user through the following formula based on the concerned indexes:
sim(u,v)＝1(u∈g,v∈g)；
sim(u,v)＝0(u∈g,v∈g0,g≠g0)；
wherein G is a grid area in the grid set G, G0The method comprises the steps that grid areas different from the grid areas G in the grid set G are obtained by dividing each feature in the attention features into preset numbers, u is any one live broadcast room in the live broadcast room concerned by the target user, and v is any one live broadcast room in the live broadcast room concerned by the target user.
Optionally, the calculating the synchronization index of the target user and the normality index of the target user based on the similarity between any two live broadcast rooms of the live broadcast rooms concerned by the target user includes:
calculating the synchronicity index of the target user by the following formula:
Figure BDA0001820472140000021
the synchronization (i) is a synchronization index of the target user i, n (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, and | n (i) | is the number of live broadcast rooms in the live broadcast room set concerned by the target user i.
Calculating a normality index of the target user by the following formula:
Figure BDA0001820472140000031
wherein norm (i) is a normality index of the target user i, N (i) is a live broadcast room set concerned by the target user i, j is any one of live broadcast rooms in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, | N (i) | is the number of live broadcast rooms in the live broadcast room set concerned by the target user i, N is all the live broadcast room sets in the live broadcast platform, k is any one of the live broadcast rooms in the live broadcast platform, and | N | is the number of live broadcast rooms in the live broadcast platform.
Optionally, the preset conditions are:
Figure BDA0001820472140000032
Figure BDA0001820472140000033
the synchronization (i) is the synchronization index of the target user i, mean _ sync is the average value of the synchronization indexes of all users in the live broadcast platform, var _ sync is the variance of the synchronization indexes, norm (i) is the normality index of the target user i, mean _ norm is the average value of the normality indexes of all users in the live broadcast platform, var _ norm is the variance of the normality indexes, and lambda is a constant larger than 0.
Optionally, after determining that the target user is a suspected user, the method further includes:
traversing users in the live platform to determine all suspected users in the live platform;
determining the proportion of suspected users contained in each live broadcast room in the live broadcast platform based on all suspected users in the live broadcast platform;
and determining that the target live broadcast room is a suspected live broadcast room, wherein the target live broadcast room is a live broadcast room in which the ratio of suspected users in the live broadcast platform is greater than a preset threshold value.
A second aspect of the embodiments of the present invention provides a device for determining a suspected user, including:
the acquisition unit is used for acquiring a live broadcast room concerned by a target user in a live broadcast platform;
the first calculating unit is used for calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user;
the second calculation unit is used for calculating the synchronization index of the target user and the normality index of the target user based on the similarity of any two live broadcast rooms in the live broadcast rooms concerned by the target user;
the judging unit is used for judging whether the synchronization index of the target user and the normality index of the target user simultaneously meet preset conditions;
and the determining unit is used for determining that the target user is a suspected user when the synchronicity index of the target user and the normality index of the target user simultaneously meet the preset condition, wherein the suspected user is a user who swipes the people in the live broadcast platform.
Optionally, the first computing unit is specifically configured to:
obtaining an attention index of a live broadcast room concerned by the target user;
calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user through the following formula based on the concerned indexes:
sim(u,v)＝1(u∈g,v∈g)；
sim(u,v)＝0(u∈g,v∈g0,g≠g0)；
wherein G is a grid area in the grid set G, G0The method comprises the steps that grid areas different from the grid areas G in the grid set G are obtained by dividing each feature in the attention features into preset numbers, u is any one live broadcast room in the live broadcast room concerned by the target user, and v is any one live broadcast room in the live broadcast room concerned by the target user.
Optionally, the second computing unit is specifically configured to:
calculating the synchronicity index of the target user by the following formula:
Figure BDA0001820472140000051
the synchronization (i) is a synchronization index of the target user i, n (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, and | n (i) | is the number of live broadcast rooms in the live broadcast room set concerned by the target user i.
Calculating a normality index of the target user by the following formula:
Figure BDA0001820472140000052
wherein norm (i) is a normality index of the target user i, N (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, | N (i) | is the number of the live broadcast rooms in the live broadcast room set concerned by the target user i, N is all the live broadcast room sets in the live broadcast platform, k is any one live broadcast room in the live broadcast platform, and | N | is the number of the live broadcast rooms in the live broadcast platform.
Optionally, the preset conditions are:
Figure BDA0001820472140000061
Figure BDA0001820472140000062
the synchronization (i) is the synchronization index of the target user i, mean _ sync is the average value of the synchronization indexes of all users in the live broadcast platform, var _ sync is the variance of the synchronization indexes, norm (i) is the normality index of the target user i, mean _ norm is the average value of the normality indexes of all users in the live broadcast platform, var _ norm is the variance of the normality indexes, and lambda is a constant larger than 0.
Optionally, the determining unit is further configured to:
traversing users in the live platform to determine all suspected users in the live platform;
determining the proportion of suspected users contained in each live broadcast room in the live broadcast platform based on all suspected users in the live broadcast platform;
and determining that the target live broadcast room is a suspected live broadcast room, wherein the target live broadcast room is a live broadcast room in which the ratio of suspected users in the live broadcast platform is greater than a preset threshold value.
A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the processor is configured to implement the steps of the method for determining a suspected user as described in any one of the above when executing a computer management-like program stored in the memory.
A fourth aspect of the present invention provides a computer-readable storage medium having a computer management-like program stored thereon, characterized in that: the computer management class program, when executed by a processor, implements the steps of the method of determining a suspected user as in any one of the above.
In summary, it can be seen that, in the embodiment of the present invention, whether a user is a suspected user is judged according to the synchronization index and the normality index of the user, and the user is determined to be the suspected user only when the synchronization index and the normality index simultaneously satisfy the preset condition, so that the suspected user with an unobvious feature in the live broadcast platform can be identified, and the live broadcast network environment is purified.
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Fig. 1 is a schematic flowchart of a method for determining a suspected user according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an embodiment of an apparatus for determining a suspected user according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a hardware structure of a device for determining a suspected user according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method for determining a suspected user and related equipment, which are used for identifying the suspected user with unobvious characteristics in a live broadcast platform and purifying a live broadcast network environment.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The method for identifying the suspected user is described below from the perspective of an apparatus for identifying the suspected user, which may be a server or a service unit in the server.
Referring to fig. 1, fig. 1 is a schematic diagram of an embodiment of a method for determining a suspected user according to an embodiment of the present invention, including:
101. and acquiring a live broadcast room concerned by a target user in the live broadcast platform.
In this embodiment, the apparatus for determining the suspected user may obtain a live broadcast room in the live broadcast platform, where the target user is a user to be determined whether the target user is the suspected user in the live broadcast platform, and the suspected user is a user who swipes the people in the live broadcast platform. Specifically, the device for determining the suspected user may establish a bipartite graph between the user in the live broadcast platform and the live broadcast room, where one part of the bipartite graph is a vertex formed by the user in the live broadcast room, and the other part of the bipartite graph is a vertex formed by the live broadcast room. If a user is casting behavior on a live room, an edge can be formed on the graph between the user and the live room. The bipartite graph is a directed graph, pointed to by user nodes to live room nodes. And all fixed points connected with the target user in the bipartite graph can be identified to obtain the live broadcast room concerned by the target user.
102. And calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user.
In this embodiment, after the device that determines the suspected user acquires the live broadcast room that the target user concerns, the similarity between any two live broadcast rooms in the live broadcast room that the target user concerns may be calculated, which is specifically as follows:
obtaining an attention index of a live broadcast room concerned by a target user, for example, the attention index can be calculated through attention running water, and the attention index can be indexes such as the current attention number of the live broadcast room, newly increased attention number in nearly 1 day and the like;
calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user through the following formula based on the concerned indexes:
sim(u,v)＝1(u∈g,v∈g)；
sim(u,v)＝0(u∈g,v∈g0,g≠g0)；
wherein G is a grid area in the grid set G, G0The method comprises the steps that grid areas different from the grid areas G in a grid set G are obtained by dividing each feature in attention features into preset numbers, u is any one live broadcast room in the live broadcast room concerned by a target user, and v is any one live broadcast room in the live broadcast room concerned by the target user. That is, for several attention indexes of the live broadcast room to which the target user pays attention, it is assumed that the number of the attention indexes is k. Regarding the attention indexes as a k-dimensional feature space, uniformly segmenting features of each dimension, if the number of segments to be segmented is n, dividing the whole k-dimensional feature space into grids, recording a set of the grids as G, enabling each live broadcast room to fall in a certain grid area G of the grids, wherein the grid area G is one grid in the grid set G, and after grid segmentation, calculating the similarity sim (u, v) between a live broadcast room u and a live broadcast room v concerned by a target user i according to the following formula:
sim(u,v)＝1(u∈g,v∈g)；
sim(u,v)＝0(u∈g,v∈g0,g≠g0)；
and when the live broadcast room u and the live broadcast room v belong to the same grid area, the similarity between the live broadcast room u and the live broadcast room v is 1, otherwise, the similarity is 0.
103. Calculating the synchronicity index of the target user and the normality index of the target user based on the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user:
in this embodiment, after determining that the device of the suspected user obtains the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user, the normality index of the target user may be calculated by the following formula:
Figure BDA0001820472140000091
sync (i) is a synchronization index of a target user i, n (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, and | n (i) | is the number of live broadcast rooms in the live broadcast room set concerned by the target user i.
Calculating a normality index of the target user by the following formula:
Figure BDA0001820472140000101
wherein norm (i) is a normality index of a target user i, N (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, | N (i) | is the number of the live broadcast rooms in the live broadcast room set concerned by the target user i, N is the total live broadcast room set in the live broadcast platform, k is any one live broadcast room in the live broadcast platform, and | N | is the number of the live broadcast rooms in the live broadcast platform.
104. And judging whether the synchronicity index of the target user and the normality index of the target user simultaneously meet preset conditions, if so, executing the step 105.
In this embodiment, after the device of the suspected user obtains the synchronization index and the normality index of the target user, it may be determined whether the synchronization index and the normality index of the target user simultaneously satisfy the preset condition, and if yes, step 105 is executed. The preset conditions are as follows:
Figure BDA0001820472140000102
Figure BDA0001820472140000103
the synchronization (i) is a synchronization index of a target user i, mean _ sync is an average value of the synchronization indexes of all users in the live broadcast platform, var _ sync is a variance of the synchronization indexes, norm (i) is a normality index of the target user i, mean _ norm is an average value of the normality indexes of all users in the live broadcast platform, var _ norm is a variance of the normality indexes, and λ is a constant greater than 0, for example, λ is 3.
It is understood that the above-mentioned calculating the average value of the synchronicity indexes of all users can be performed by calculating the synchronicity indexes of all users in the live broadcast platform through step 103, and then calculating the average value, and the same is true for the normality indexes.
105. And determining that the target user is a suspected user.
In this embodiment, when the synchronization index of the target user and the normality index of the target user satisfy the preset condition at the same time, the apparatus for determining the suspected user may determine that the target user is the suspected user, that is, the user who swipes the people in the live broadcast platform.
It should be noted that the apparatus for determining the suspected user may also traverse each user in the live platform through the above steps to determine all the suspected users in the live platform; since all people-refreshing suspected users in the live broadcast platform are known, the proportion of the suspected users contained in each live broadcast room in the live broadcast platform can be determined based on all the suspected users in the live broadcast platform through the bipartite graph constructed in the step 101; and then, determining that the target live broadcast room is a suspected live broadcast room, wherein the target live broadcast room is a live broadcast room with the ratio of suspected users in the live broadcast platform being larger than a preset threshold value. That is to say, as long as the ratio of the concerned users as suspected users in a certain live broadcast room reaches a preset threshold, it can be determined that the live broadcast room is a suspected live broadcast room, that is, a live broadcast room with people's popularity is involved, and the preset threshold may be, for example, 60%.
In summary, it can be seen that, in the embodiment of the present invention, whether a user is a suspected user is judged according to the synchronization index and the normality index of the user, and the user is determined to be the suspected user only when the synchronization index and the normality index simultaneously satisfy the preset condition, so that the suspected user with an unobvious feature in the live broadcast platform can be identified, and the live broadcast network environment is purified.
The method for determining the suspected user in the embodiment of the present invention is described above, and the apparatus for determining the suspected user in the embodiment of the present invention is described below.
Referring to fig. 2, an embodiment of the apparatus for determining a suspected user according to the embodiment of the present invention includes:
an obtaining unit 201, configured to obtain a live broadcast room in a live broadcast platform, where a target user concerns;
a first calculating unit 202, configured to calculate a similarity between any two live broadcast rooms of the live broadcast rooms concerned by the target user;
a second calculating unit 203, configured to calculate, based on a similarity between any two live broadcast rooms of the live broadcast rooms concerned by the target user, a synchronization index of the target user and a normality index of the target user;
a determining unit 204, configured to determine whether the synchronization index of the target user and the normality index of the target user simultaneously satisfy a preset condition;
a determining unit 205, configured to determine that the target user is a suspected user when the synchronization index of the target user and the normality index of the target user simultaneously satisfy the preset condition, where the suspected user is a user whose popularity is refreshed in the live broadcast platform.
Optionally, the first computing unit 202 is specifically configured to:
obtaining an attention index of a live broadcast room concerned by the target user;
calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user through the following formula based on the concerned indexes:
sim(u,v)＝1(u∈g,v∈g)；
sim(u,v)＝0(u∈g,v∈g0,g≠g0)；
wherein G is a grid area in the grid set G, G0The method comprises the steps that grid areas different from the grid areas G in the grid set G are obtained by dividing each feature in the attention features into preset numbers, u is any one live broadcast room in the live broadcast room concerned by the target user, and v is any one live broadcast room in the live broadcast room concerned by the target user.
Optionally, the second calculating unit 203 is specifically configured to:
calculating the synchronicity index of the target user by the following formula:
Figure BDA0001820472140000121
the synchronization (i) is a synchronization index of the target user i, n (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, and | n (i) | is the number of live broadcast rooms in the live broadcast room set concerned by the target user i.
Calculating a normality index of the target user by the following formula:
Figure BDA0001820472140000131
wherein norm (i) is a normality index of the target user i, N (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, | N (i) | is the number of the live broadcast rooms in the live broadcast room set concerned by the target user i, N is all the live broadcast room sets in the live broadcast platform, k is any one live broadcast room in the live broadcast platform, and | N | is the number of the live broadcast rooms in the live broadcast platform.
Optionally, the preset conditions are:
Figure BDA0001820472140000141
Figure BDA0001820472140000142
the synchronization (i) is the synchronization index of the target user i, mean _ sync is the average value of the synchronization indexes of all users in the live broadcast platform, var _ sync is the variance of the synchronization indexes, norm (i) is the normality index of the target user i, mean _ norm is the average value of the normality indexes of all users in the live broadcast platform, var _ norm is the variance of the normality indexes, and lambda is a constant larger than 0.
Optionally, the determining unit 205 is further configured to:
traversing users in the live platform to determine all suspected users in the live platform;
determining the proportion of suspected users contained in each live broadcast room in the live broadcast platform based on all suspected users in the live broadcast platform;
and determining that the target live broadcast room is a suspected live broadcast room, wherein the target live broadcast room is a live broadcast room in which the ratio of suspected users in the live broadcast platform is greater than a preset threshold value.
Fig. 2 describes the apparatus for determining a suspected user in the embodiment of the present invention from the perspective of a modular functional entity, and the apparatus for determining a suspected user in the embodiment of the present invention from the perspective of hardware processing is described in detail below, referring to fig. 3, an embodiment of an apparatus 300 for determining a suspected user in the embodiment of the present invention includes:
an input device 301, an output device 302, a processor 303 and a memory 304 (wherein the number of the processor 303 may be one or more, and one processor 303 is taken as an example in fig. 3). In some embodiments of the present invention, the input device 301, the output device 502, the processor 303, and the memory 304 may be connected by a bus or other means, wherein the connection by the bus is exemplified in fig. 3.
Wherein, by calling the operation instruction stored in the memory 304, the processor 303 is configured to perform the following steps:
acquiring a live broadcast room concerned by a target user in a live broadcast platform;
calculating the similarity between any two live broadcast rooms in the live broadcast rooms concerned by the target user;
calculating the synchronicity index of the target user and the normality index of the target user based on the similarity of any two live broadcast rooms in the live broadcast rooms concerned by the target user;
judging whether the synchronicity index of the target user and the normality index of the target user simultaneously meet preset conditions;
and if so, determining that the target user is a suspected user, wherein the suspected user is a user who swipes the people in the live broadcast platform.
The processor 303 is also configured to perform any of the methods in the corresponding embodiments of fig. 1 by calling the operation instructions stored in the memory 304.
Referring to fig. 4, fig. 4 is a schematic view of an embodiment of an electronic device according to an embodiment of the invention.
As shown in fig. 4, an embodiment of the present invention provides an electronic device, which includes a memory 410, a processor 420, and a computer program 411 stored in the memory 420 and running on the processor 420, and when the processor 420 executes the computer program 411, the following steps are implemented:
acquiring a live broadcast room concerned by a target user in a live broadcast platform;
calculating the similarity between any two live broadcast rooms in the live broadcast rooms concerned by the target user;
calculating the synchronicity index of the target user and the normality index of the target user based on the similarity of any two live broadcast rooms in the live broadcast rooms concerned by the target user;
judging whether the synchronicity index of the target user and the normality index of the target user simultaneously meet preset conditions;
and if so, determining that the target user is a suspected user, wherein the suspected user is a user who swipes the people in the live broadcast platform.
In a specific implementation, when the processor 420 executes the computer program 411, any of the embodiments corresponding to fig. 1 may be implemented.
Since the electronic device described in this embodiment is a device used for implementing a device for determining a suspected user in the embodiment of the present invention, based on the method described in the embodiment of the present invention, a person skilled in the art can understand a specific implementation manner of the electronic device of this embodiment and various variations thereof, so that how to implement the method in the embodiment of the present invention by the electronic device is not described in detail herein, and as long as the person skilled in the art implements the device used for implementing the method in the embodiment of the present invention, the device used for implementing the method in the embodiment of the present invention belongs to the scope of the present invention.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating an embodiment of a computer-readable storage medium according to the present invention.
As shown in fig. 5, the present embodiment provides a computer-readable storage medium 500 having a computer program 511 stored thereon, the computer program 511 implementing the following steps when executed by a processor:
acquiring a live broadcast room concerned by a target user in a live broadcast platform;
calculating the similarity between any two live broadcast rooms in the live broadcast rooms concerned by the target user;
calculating the synchronicity index of the target user and the normality index of the target user based on the similarity of any two live broadcast rooms in the live broadcast rooms concerned by the target user;
judging whether the synchronicity index of the target user and the normality index of the target user simultaneously meet preset conditions;
and if so, determining that the target user is a suspected user, wherein the suspected user is a user who swipes the people in the live broadcast platform.
In a specific implementation, the computer program 511 may implement any of the embodiments corresponding to fig. 1 when executed by a processor.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
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 computer, 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.
Embodiments of the present invention further provide a computer program product, where the computer program product includes computer software instructions, and when the computer software instructions are executed on a processing device, the processing device executes a flow in the method for designing a wind farm digital platform in the embodiment corresponding to fig. 1.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (8)

1. A method of determining a suspected user, comprising:
acquiring a live broadcast room concerned by a target user in a live broadcast platform;
calculating the similarity between any two live broadcast rooms in the live broadcast rooms concerned by the target user;
calculating the synchronicity index of the target user and the normality index of the target user based on the similarity of any two live broadcast rooms in the live broadcast rooms concerned by the target user;
judging whether the synchronicity index of the target user and the normality index of the target user simultaneously meet preset conditions;
if so, determining that the target user is a suspected user, wherein the suspected user is a user with people in the live broadcast platform;
the method for acquiring the live broadcast room concerned by the target user in the live broadcast platform comprises the following steps:
establishing a bipartite graph between a user and a live broadcast room in a live broadcast platform;
obtaining a live broadcast room concerned by the target user by identifying all vertexes connected with the target user in the bipartite graph;
wherein the calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user comprises:
obtaining an attention index of a live broadcast room concerned by the target user;
calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user through the following formula based on the concerned indexes:
sim(u,v)＝1(u∈g,v∈g)；
sim(u,v)＝0(u∈g,v∈g0,g≠g0)；
wherein G is a grid area in the grid set G, G0The method comprises the steps that grid areas different from the grid areas G in the grid set G are obtained by dividing each feature in attention features into preset numbers, u is any one live broadcast room in the live broadcast room concerned by a target user, and v is any one live broadcast room in the live broadcast room concerned by the target user.
2. The method of claim 1, wherein the calculating the synchronization index of the target user and the normality index of the target user based on the similarity between any two live rooms in the live rooms concerned by the target user comprises:
calculating the synchronicity index of the target user by the following formula:
Figure FDA0002832183680000021
the synchronization (i) is a synchronization index of the target user i, n (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, and | n (i) | is the number of live broadcast rooms in the live broadcast room set concerned by the target user i;
calculating a normality index of the target user by the following formula:
Figure FDA0002832183680000022
wherein norm (i) is a normality index of the target user i, N (i) is a live broadcast room set concerned by the target user i, j is any one of live broadcast rooms in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, | N (i) | is the number of live broadcast rooms in the live broadcast room set concerned by the target user i, N is all the live broadcast room sets in the live broadcast platform, k is any one of the live broadcast rooms in the live broadcast platform, and | N | is the number of live broadcast rooms in the live broadcast platform.
3. Method according to any one of claims 1 to 2, characterized in that said preset conditions are:
Figure FDA0002832183680000031
Figure FDA0002832183680000032
the synchronization (i) is the synchronization index of the target user i, mean _ sync is the average value of the synchronization indexes of all users in the live broadcast platform, var _ sync is the variance of the synchronization indexes, norm (i) is the normality index of the target user i, mean _ norm is the average value of the normality indexes of all users in the live broadcast platform, var _ norm is the variance of the normality indexes, and lambda is a constant larger than 0.
4. The method of any of claims 1-2, wherein after the determining that the target user is a suspected user, the method further comprises:
traversing users in the live platform to determine all suspected users in the live platform;
determining the proportion of suspected users contained in each live broadcast room in the live broadcast platform based on all suspected users in the live broadcast platform;
and determining that the target live broadcast room is a suspected live broadcast room, wherein the target live broadcast room is a live broadcast room in which the ratio of suspected users in the live broadcast platform is greater than a preset threshold value.
5. An apparatus for determining a suspected user, comprising:
the acquisition unit is used for acquiring a live broadcast room concerned by a target user in a live broadcast platform;
the first calculating unit is used for calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user;
the second calculation unit is used for calculating the synchronization index of the target user and the normality index of the target user based on the similarity of any two live broadcast rooms in the live broadcast rooms concerned by the target user;
the judging unit is used for judging whether the synchronization index of the target user and the normality index of the target user simultaneously meet preset conditions;
the determining unit is used for determining that the target user is a suspected user when the synchronicity index of the target user and the normality index of the target user simultaneously meet the preset condition, wherein the suspected user is a user who swipes the people in the live broadcast platform;
wherein the first computing unit is specifically configured to:
obtaining an attention index of a live broadcast room concerned by the target user;
calculating the similarity between any two live broadcast rooms in the live broadcast room concerned by the target user through the following formula based on the concerned indexes:
sim(u,v)＝1(u∈g,v∈g)；
sim(u,v)＝0(u∈g,v∈g0,g≠g0)；
wherein G is a grid area in the grid set G, G0The grid set G is a grid area different from the grid area G in the grid set G, the grid set G is obtained by dividing each feature in the attention features into a preset number, u is any one live broadcast room in the live broadcast room concerned by the target user, and v is any one live broadcast room in the live broadcast room concerned by the target user;
the method for acquiring the live broadcast room concerned by the target user in the live broadcast platform comprises the following steps:
establishing a bipartite graph between a user and a live broadcast room in a live broadcast platform;
and obtaining the live broadcast room concerned by the target user by identifying all vertexes connected with the target user in the bipartite graph.
6. The apparatus according to claim 5, wherein the second computing unit is specifically configured to:
calculating the synchronicity index of the target user by the following formula:
Figure FDA0002832183680000051
the synchronization (i) is a synchronization index of the target user i, n (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, and | n (i) | is the number of live broadcast rooms in the live broadcast room set concerned by the target user i;
calculating a normality index of the target user by the following formula:
Figure FDA0002832183680000052
wherein norm (i) is a normality index of the target user i, N (i) is a live broadcast room set concerned by the target user i, j is any one live broadcast room in the live broadcast room set concerned by the target user i, k is any one live broadcast room in the live broadcast room set concerned by the target user i, sim (j, k) is the similarity between the live broadcast room j and the live broadcast room k, | N (i) | is the number of the live broadcast rooms in the live broadcast room set concerned by the target user i, N is all the live broadcast room sets in the live broadcast platform, k is any one live broadcast room in the live broadcast platform, and | N | is the number of the live broadcast rooms in the live broadcast platform.
7. An electronic device comprising a memory, a processor, wherein the processor is configured to implement the steps of the method of determining a suspected user according to any one of claims 1 to 4 when executing a computer management class program stored in the memory.
8. A computer-readable storage medium having stored thereon a computer management-like program, characterized in that: the computer management class program, when executed by a processor, implements the steps of the method of determining a suspected user as claimed in any one of claims 1 to 4.
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