CN109413439A - A kind of method and relevant device of determining suspicion user - Google Patents
A kind of method and relevant device of determining suspicion user Download PDFInfo
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- CN109413439A CN109413439A CN201811163287.4A CN201811163287A CN109413439A CN 109413439 A CN109413439 A CN 109413439A CN 201811163287 A CN201811163287 A CN 201811163287A CN 109413439 A CN109413439 A CN 109413439A
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/24—Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
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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]
- 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
- H04N21/25866—Management of end-user data
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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]
- 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
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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Abstract
The embodiment of the invention provides the methods and relevant device of a kind of determining suspicion user, and the unconspicuous suspicion user of feature in platform is broadcast live for identification.This method comprises: obtaining the direct broadcasting room of target user's concern in live streaming platform;Calculate the similarity in the direct broadcasting room of target user's concern between any two direct broadcasting room;The synchronism index of target user and the normality index of the target user described in the similarity calculation of any two direct broadcasting room in direct broadcasting room based on target user concern;Judge the target user synchronism index and the target user normality index whether and meanwhile meet preset condition;If so, determining that the target user is suspicion user, the suspicion user is the user of brush popularity in the live streaming platform.
Description
Technical field
The present invention relates to the methods and correlation of technical field of information processing more particularly to a kind of determining suspicion user to set
It is standby.
Background technique
With the progress of network communication technology and the speed-raising of broadband network, net cast technology has obtained more and more hairs
Exhibition and application.
On live streaming platform, false brush concern behavior, such brush concern row are frequently present of in order to reach certain purposes
For strong influence can be caused to the live streaming ecology of platform.It would therefore be desirable to have some effective methods can identify that those have brush
The user of concern suspicion.
The method that the generally recognized abnormal brush hangs concern behavior be using some strong rules, these rules be by it is some more
What apparent exception was identified.Some risk subscribers can be identified using the method for strong rule, however in order to avoid manslaughtering
Can be by the very strict of rule setting, therefore those cheating users with obvious characteristic are only able to find, therefore other can be omitted
The unconspicuous suspicion user of feature.
Summary of the invention
The embodiment of the invention provides the methods and relevant device of a kind of determining suspicion user, are broadcast live in platform for identification
The unconspicuous suspicion user of feature purifies Living Network environment.
The first aspect of the embodiment of the present invention provides the method for determining suspicion user a kind of, comprising:
Obtain the direct broadcasting room of target user's concern in live streaming platform;
Calculate the similarity in the direct broadcasting room of target user's concern between any two direct broadcasting room;
Target described in the similarity calculation of any two direct broadcasting room in direct broadcasting room based on target user concern is used
The synchronism index at family and the normality index of the target user;
Judge the target user synchronism index and the target user normality index whether and meanwhile meet
Preset condition;
If so, determining that the target user is suspicion user, the suspicion user is brush popularity in the live streaming platform
User.
Optionally, the similarity packet in the direct broadcasting room for calculating target user's concern between any two direct broadcasting room
It includes:
Obtain the concern index of the direct broadcasting room of target user's concern;
It is straight that any two in the direct broadcasting room that the target user pays close attention to are calculated by following formula based on the concern index
Similarity between broadcasting:
Sim (u, v)=1 (u ∈ g, v ∈ g);
(u ∈ g, the v ∈ g of sim (u, v)=00,g≠g0);
Wherein, g is a net region in grid set G, g0For in the grid set G with the net region g
Different net regions, the grid set G are to be cut into predetermined number to each feature in the concern feature to obtain, u
For any one direct broadcasting room in the direct broadcasting room of target user concern, v is in the direct broadcasting room of target user concern
Any one direct broadcasting room.
Optionally, the similarity calculation of any two direct broadcasting room in the direct broadcasting room based on target user concern
The synchronism index of the target user and the normality index of the target user include:
The synchronism index of the target user is calculated by following formula:
Wherein, sync (i) is the synchronism index of the target user i, and N (i) is the live streaming of target user i concern
Between gather, j be the target user i concern direct broadcasting room set in any one direct broadcasting room, k be the target user i close
Any one direct broadcasting room in the direct broadcasting room set of note, sim (j, k) are the similarity of the direct broadcasting room j and the direct broadcasting room k, |
N (i) | for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern.
The normality index of the target user is calculated by following formula:
Wherein, norm (i) is the normality index of the target user i, and N (i) is the live streaming of target user i concern
Between gather, j be the target user i concern direct broadcasting room set in any one direct broadcasting room, sim (j, k) be the live streaming
Between j and the direct broadcasting room k similarity, | N (i) | for the target user i concern direct broadcasting room set in direct broadcasting room
Number, N are whole direct broadcasting room set in the live streaming platform, and k is any one direct broadcasting room in the live streaming platform, | N | be
The number of direct broadcasting room in the live streaming platform.
Optionally, the preset condition are as follows:
Wherein, sync (i) is the synchronism index of the target user i, and mean_sync is to own in the live streaming platform
The average value of the synchronism index of user, var_sync are the variance of the synchronism index, and norm (i) is the target user
The normality index of i, mean_norm are the average value of the normality index of all users in the live streaming platform, var_norm
For the variance of the normality index, λ is the constant greater than 0.
Optionally, the determination target user be suspicion user after, the method also includes:
The user in the live streaming platform is traversed, with all suspicion users in the determination live streaming platform;
It is determined in the live streaming platform based on all suspicion users in the live streaming platform and includes in each direct broadcasting room
The ratio of suspicion user;
Determine that target direct broadcasting room is suspicion direct broadcasting room, the target direct broadcasting room is suspicion user described in the live streaming platform
Ratio be greater than preset threshold direct broadcasting room.
Second aspect of the embodiment of the present invention provides the device of determining suspicion user a kind of, comprising:
Acquiring unit, for obtaining the direct broadcasting room of target user's concern in live streaming platform;
First computing unit, for calculating the phase in the direct broadcasting room that the target user pays close attention between any two direct broadcasting room
Like degree;
Second computing unit, any two direct broadcasting room in direct broadcasting room for being paid close attention to based on the target user it is similar
Degree calculates the synchronism index of the target user and the normality index of the target user;
Judging unit, for judging the synchronism index of the target user and the normality index of the target user
Whether preset condition is met simultaneously;
Determination unit, for when the target user synchronism index and the target user normality index it is same
When meeting the preset condition, determine that the target user is suspicion user, the suspicion user is in the live streaming platform
The user of brush popularity.
Optionally, first computing unit is specifically used for:
Obtain the concern index of the direct broadcasting room of target user's concern;
It is straight that any two in the direct broadcasting room that the target user pays close attention to are calculated by following formula based on the concern index
Similarity between broadcasting:
Sim (u, v)=1 (u ∈ g, v ∈ g);
(u ∈ g, the v ∈ g of sim (u, v)=00,g≠g0);
Wherein, g is a net region in grid set G, g0For in the grid set G with the net region g
Different net regions, the grid set G are to be cut into predetermined number to each feature in the concern feature to obtain, u
For any one direct broadcasting room in the direct broadcasting room of target user concern, v is in the direct broadcasting room of target user concern
Any one direct broadcasting room.
Optionally, second computing unit is specifically used for:
The synchronism index of the target user is calculated by following formula:
Wherein, sync (i) is the synchronism index of the target user i, and N (i) is the live streaming of target user i concern
Between gather, j be the target user i concern direct broadcasting room set in any one direct broadcasting room, k be the target user i close
Any one direct broadcasting room in the direct broadcasting room set of note, sim (j, k) are the similarity of the direct broadcasting room j and the direct broadcasting room k, |
N (i) | for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern.
The normality index of the target user is calculated by following formula:
Wherein, norm (i) is the normality index of the target user i, and N (i) is the live streaming of target user i concern
Between gather, j be the target user i concern direct broadcasting room set in any one direct broadcasting room, k be the target user i close
Any one direct broadcasting room in the direct broadcasting room set of note, sim (j, k) are the similarity of the direct broadcasting room j and the direct broadcasting room k, |
N (i) | for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern, N is the whole in the live streaming platform
Direct broadcasting room set, k are any one direct broadcasting room in the live streaming platform, | N | for of the direct broadcasting room in the live streaming platform
Number.
Optionally, the preset condition are as follows:
Wherein, sync (i) is the synchronism index of the target user i, and mean_sync is to own in the live streaming platform
The average value of the synchronism index of user, var_sync are the variance of the synchronism index, and norm (i) is the target user
The normality index of i, mean_norm are the average value of the normality index of all users in the live streaming platform, var_norm
For the variance of the normality index, λ is the constant greater than 0.
Optionally, the determination unit is also used to:
The user in the live streaming platform is traversed, with all suspicion users in the determination live streaming platform;
It is determined in the live streaming platform based on all suspicion users in the live streaming platform and includes in each direct broadcasting room
The ratio of suspicion user;
Determine that target direct broadcasting room is suspicion direct broadcasting room, the target direct broadcasting room is suspicion user described in the live streaming platform
Ratio be greater than preset threshold direct broadcasting room.
Third aspect present invention provides a kind of electronic equipment, including memory, processor, which is characterized in that the place
Reason device realizes the determination suspicion as described in above-mentioned any one when being used to execute the computer management class method stored in memory
The step of method of user.
Fourth aspect present invention provides a kind of computer readable storage medium, is stored thereon with computer management class
Sequence, it is characterised in that: the determination as described in above-mentioned any one is realized when the computer management class method is executed by processor
The step of method of suspicion user.
In view of the foregoing it is apparent that in the embodiment of the present invention, by the synchronism index and normality index of user come
Judge whether user is suspicion user, and only synchronism index and normality index is simultaneously when meeting preset condition, it is just true
The fixed user is suspicion user, it is possible thereby to identify the unconspicuous suspicion user of feature in live streaming platform, and then purifies live streaming
Network environment.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the method for determining suspicion user provided in an embodiment of the present invention;
Fig. 2 is a kind of embodiment schematic diagram of the device of determining suspicion user provided in an embodiment of the present invention;
Fig. 3 is a kind of hardware structural diagram of the device of determining suspicion user provided in an embodiment of the present invention;
Fig. 4 is the embodiment schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention;
Fig. 5 is a kind of embodiment schematic diagram of computer readable storage medium provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the invention provides the methods and relevant device of a kind of determining suspicion user, are broadcast live in platform for identification
The unconspicuous suspicion user of feature purifies Living Network environment.
Description and claims of this specification and term " first ", " second ", " third ", " in above-mentioned attached drawing
The (if present)s such as four " are to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should manage
The data that solution uses in this way are interchangeable under appropriate circumstances, so that the embodiments described herein can be in addition to illustrating herein
Or the sequence other than the content of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that
Cover it is non-exclusive include, for example, containing the process, method, system, product or equipment of a series of steps or units need not limit
In step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, produce
The other step or units of product or equipment inherently.Following will be combined with the drawings in the embodiments of the present invention, in the embodiment of the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are only a part of the embodiments of the present invention, and
The embodiment being not all of.
The method for determining suspicion user is illustrated from the angle for the device for determining suspicion user below, the determination suspicion
The device of user can be server, or the service unit in server.
Referring to Fig. 1, Fig. 1 is one embodiment signal of the method for determining suspicion user provided in an embodiment of the present invention
Figure, comprising:
101, the direct broadcasting room of target user's concern in live streaming platform is obtained.
In the present embodiment, the direct broadcasting room of user's concern in the available live streaming platform of the device of suspicion user, the mesh are determined
Mark user be broadcast live platform in it is to be determined whether be suspicion user user, suspicion user be broadcast live platform in brush popularity use
Family.Specifically, determining that the device of suspicion user can establish the bigraph (bipartite graph) in live streaming platform between user and direct broadcasting room, at two
In figure, a part is the vertex formed by the user in direct broadcasting room, and another part is then the vertex formed by direct broadcasting room.If with
There is concern behavior at family to direct broadcasting room, then can form a line between the user and the direct broadcasting room on the diagram.The bigraph (bipartite graph) is
One digraph is directed toward live streaming intermediate node by user node.It can be by identifying the institute connecting in bigraph (bipartite graph) with target user
There is fixed point, obtains the direct broadcasting room of target user's concern.
102, the similarity in the direct broadcasting room of target user's concern between any two direct broadcasting room is calculated.
In the present embodiment, determine the device of suspicion user after the direct broadcasting room for getting target user's concern, Ke Yiji
The similarity in the direct broadcasting room of target user's concern between any two direct broadcasting room is calculated, specific as follows:
The concern index of the direct broadcasting room of target user's concern is obtained, such as can be calculated by concern flowing water, the concern
The indexs such as the current concern number of index such as direct broadcasting room, nearly 1 day newly-increased attention number;
It is calculated in the direct broadcasting room of target user's concern between any two direct broadcasting room based on concern index by following formula
Similarity:
Sim (u, v)=1 (u ∈ g, v ∈ g);
(u ∈ g, the v ∈ g of sim (u, v)=00,g≠g0);
Wherein, g is a net region in grid set G, g0It is different from the net region g in grid set G
Net region, grid set G is that each feature in concern feature is cut into predetermined number and is obtained, and u is that target user is closed
Any one direct broadcasting room in the direct broadcasting room of note, v are any one direct broadcasting room in the direct broadcasting room of target user's concern.Namely
It says, for several concern indexs of the direct broadcasting room of target user's concern, it is assumed that the quantity of the concern index is k.These are paid close attention to
Index regards the feature space of k dimension as, carries out uniform cutting to the feature of every dimension, if the number of segment of cutting is n,
Entire k dimensional feature space will be divided into a grid, and the set of the grid is denoted as G, then each direct broadcasting room can fall in certain of grid
A net region g, net region g are a grid in grid set G, after having grid dividing, target user i concern
The similarity sim (u, v) of direct broadcasting room u and direct broadcasting room v can be calculated by following following formula:
Sim (u, v)=1 (u ∈ g, v ∈ g);
(u ∈ g, the v ∈ g of sim (u, v)=00,g≠g0);
When direct broadcasting room u and direct broadcasting room v belong to identical net region, then the similarity of direct broadcasting room u and direct broadcasting room v are 1,
It otherwise is 0.
103, the similarity calculation target user in the direct broadcasting room based on target user's concern between any two direct broadcasting room
Synchronism index and target user normality index:
In the present embodiment, device any two live streaming in the direct broadcasting room for obtaining target user's concern of suspicion user is determined
Between between similarity after, can pass through following formula calculate target user normality index:
Wherein, sync (i) is the synchronism index of target user i, and N (i) is the direct broadcasting room set of target user i concern, j
For any one direct broadcasting room in the direct broadcasting room set of target user i concern, k is in the direct broadcasting room set of target user i concern
Any one direct broadcasting room, sim (j, k) be direct broadcasting room j and direct broadcasting room k similarity, | N (i) | for target user i concern it is straight
The number of direct broadcasting room between broadcasting in set.
The normality index of the target user is calculated by following formula:
Wherein, norm (i) is the normality index of target user i, and N (i) is the direct broadcasting room set of target user i concern, j
For any one direct broadcasting room in the direct broadcasting room set of target user i concern, k is in the direct broadcasting room set of target user i concern
Any one direct broadcasting room, sim (j, k) be direct broadcasting room j and the direct broadcasting room k similarity, | N (i) | for target user i pay close attention to
Direct broadcasting room set in direct broadcasting room number, N be broadcast live platform in whole direct broadcasting room set, k be broadcast live platform in times
It anticipates a direct broadcasting room, | N | for the number of the direct broadcasting room in live streaming platform.
104, judge target user synchronism index and target user normality index whether and meanwhile meet default
Condition, if so, thening follow the steps 105.
In the present embodiment, determine the device of suspicion user in the synchronism index and normality index for obtaining target user
Later, it can be determined that whether the synchronism index of the target user and the normality index of target user meet default item simultaneously
Part, if so, thening follow the steps 105.The preset condition are as follows:
Wherein, sync (i) is the synchronism index of target user i, and mean_sync is the same of all users in live streaming platform
The average value of step property index, var_sync are the variance of synchronism index, and norm (i) is the normality index of target user i,
Mean_norm is the average value that the normality index of all users in platform is broadcast live, and var_norm is the variance of normality index,
λ is the constant greater than 0, such as λ=3.
It is understood that the average value of the synchronism index of above-mentioned all users of calculating can be traversed by step 103
The synchronism index for calculating all users in live streaming platform, averages, normality index is same later.
105, determine that target user is suspicion user.
In the present embodiment, when the synchronism index of the target user and the normality index of target user meet in advance simultaneously
If when condition, determining that the device of suspicion user can determine that the target user is suspicion user, namely people is brushed in live streaming platform
The user of gas.
It should be noted that determining that the device of suspicion user can also traverse each of live streaming platform through the above steps
User, to determine all suspicion users in live streaming platform;Due to being aware of the suspicion user of all brush popularities in live streaming platform,
The bigraph (bipartite graph) then constructed by step 101 can be determined each in live streaming platform based on all suspicion users in live streaming platform
The ratio for the suspicion user for including in direct broadcasting room;Later, determine that target direct broadcasting room is suspicion direct broadcasting room, target direct broadcasting room is live streaming
The ratio of suspicion user is greater than the direct broadcasting room of preset threshold in platform.As long as that is, the user paid close attention in some direct broadcasting room
Ratio for suspicion user reaches preset threshold, so that it may determine that the direct broadcasting room is suspicion direct broadcasting room, that is, be related to brushing people
The direct broadcasting room of gas, the preset threshold, such as can be 60%.
In view of the foregoing it is apparent that in the embodiment of the present invention, by the synchronism index and normality index of user come
Judge whether user is suspicion user, and only synchronism index and normality index is simultaneously when meeting preset condition, it is just true
The fixed user is suspicion user, it is possible thereby to identify the unconspicuous suspicion user of feature in live streaming platform, and then purifies live streaming
Network environment.
Above to determining that the method for suspicion user is described in the embodiment of the present invention, below in the embodiment of the present invention
The device of determination suspicion user be described.
Referring to Fig. 2, determining one embodiment of the device of suspicion user, determination suspicion user in the embodiment of the present invention
Device include:
Acquiring unit 201, for obtaining the direct broadcasting room of target user's concern in live streaming platform;
First computing unit 202, for calculating in the direct broadcasting room that the target user pays close attention between any two direct broadcasting room
Similarity;
Second computing unit 203, any two direct broadcasting room in direct broadcasting room for being paid close attention to based on the target user
The synchronism index of target user described in similarity calculation and the normality index of the target user;
Judging unit 204, for judging the synchronism index of the target user and the normality of the target user
Whether index meets preset condition simultaneously;
Determination unit 205, for referring to when the synchronism index of the target user and the normality of the target user
When marking while meeting the preset condition, determine that the target user is suspicion user, the suspicion user is that the live streaming is flat
The user of brush popularity in platform.
Optionally, first computing unit 202 is specifically used for:
Obtain the concern index of the direct broadcasting room of target user's concern;
It is straight that any two in the direct broadcasting room that the target user pays close attention to are calculated by following formula based on the concern index
Similarity between broadcasting:
Sim (u, v)=1 (u ∈ g, v ∈ g);
(u ∈ g, the v ∈ g of sim (u, v)=00,g≠g0);
Wherein, g is a net region in grid set G, g0For in the grid set G with the net region g
Different net regions, the grid set G are to be cut into predetermined number to each feature in the concern feature to obtain, u
For any one direct broadcasting room in the direct broadcasting room of target user concern, v is in the direct broadcasting room of target user concern
Any one direct broadcasting room.
Optionally, second computing unit 203 is specifically used for:
The synchronism index of the target user is calculated by following formula:
Wherein, sync (i) is the synchronism index of the target user i, and N (i) is the live streaming of target user i concern
Between gather, j be the target user i concern direct broadcasting room set in any one direct broadcasting room, k be the target user i close
Any one direct broadcasting room in the direct broadcasting room set of note, sim (j, k) are the similarity of the direct broadcasting room j and the direct broadcasting room k, |
N (i) | for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern.
The normality index of the target user is calculated by following formula:
Wherein, norm (i) is the normality index of the target user i, and N (i) is the live streaming of target user i concern
Between gather, j be the target user i concern direct broadcasting room set in any one direct broadcasting room, k be the target user i close
Any one direct broadcasting room in the direct broadcasting room set of note, sim (j, k) are the similarity of the direct broadcasting room j and the direct broadcasting room k, |
N (i) | for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern, N is the whole in the live streaming platform
Direct broadcasting room set, k are any one direct broadcasting room in the live streaming platform, | N | for of the direct broadcasting room in the live streaming platform
Number.
Optionally, the preset condition are as follows:
Wherein, sync (i) is the synchronism index of the target user i, and mean_sync is to own in the live streaming platform
The average value of the synchronism index of user, var_sync are the variance of the synchronism index, and norm (i) is the target user
The normality index of i, mean_norm are the average value of the normality index of all users in the live streaming platform, var_norm
For the variance of the normality index, λ is the constant greater than 0.
Optionally, the determination unit 205 is also used to:
The user in the live streaming platform is traversed, with all suspicion users in the determination live streaming platform;
It is determined in the live streaming platform based on all suspicion users in the live streaming platform and includes in each direct broadcasting room
The ratio of suspicion user;
Determine that target direct broadcasting room is suspicion direct broadcasting room, the target direct broadcasting room is suspicion user described in the live streaming platform
Ratio be greater than preset threshold direct broadcasting room.
Above figure 2 carries out the device of the determination suspicion user in the embodiment of the present invention from the angle of modular functionality entity
Description, is below described in detail from device of the angle of hardware handles to the determination suspicion user in the embodiment of the present invention,
Referring to Fig. 3,300 one embodiment of device of the determination suspicion user in the embodiment of the present invention, comprising:
(wherein the quantity of processor 303 can be with for input unit 301, output device 302, processor 303 and memory 304
One or more, in Fig. 3 by taking a processor 303 as an example).In some embodiments of the invention, input unit 301, output
Device 502, processor 303 and memory 304 can be connected by bus or other means, wherein to be connected by bus in Fig. 3
For.
Wherein, the operational order stored by calling memory 304, processor 303, for executing following steps:
Obtain the direct broadcasting room of target user's concern in live streaming platform;
Calculate the similarity in the direct broadcasting room of target user's concern between any two direct broadcasting room;
Target described in the similarity calculation of any two direct broadcasting room in direct broadcasting room based on target user concern is used
The synchronism index at family and the normality index of the target user;
Judge the target user synchronism index and the target user normality index whether and meanwhile meet
Preset condition;
If so, determining that the target user is suspicion user, the suspicion user is brush popularity in the live streaming platform
User.
By the operational order for calling memory 304 to store, processor 303 is also used to execute in the corresponding embodiment of Fig. 1
Either formula.
Referring to Fig. 4, Fig. 4 is the embodiment schematic diagram of electronic equipment provided in an embodiment of the present invention.
As shown in figure 4, the embodiment of the invention provides a kind of electronic equipment, including memory 410, processor 420 and deposit
The computer program 411 that can be run on memory 420 and on processor 420 is stored up, processor 420 executes computer program
It is performed the steps of when 411
Obtain the direct broadcasting room of target user's concern in live streaming platform;
Calculate the similarity in the direct broadcasting room of target user's concern between any two direct broadcasting room;
Target described in the similarity calculation of any two direct broadcasting room in direct broadcasting room based on target user concern is used
The synchronism index at family and the normality index of the target user;
Judge the target user synchronism index and the target user normality index whether and meanwhile meet
Preset condition;
If so, determining that the target user is suspicion user, the suspicion user is brush popularity in the live streaming platform
User.
In the specific implementation process, when processor 420 executes computer program 411, the corresponding embodiment of Fig. 1 may be implemented
Middle any embodiment.
Since the electronic equipment that the present embodiment is introduced is to implement a kind of dress of determining suspicion user in the embodiment of the present invention
Used equipment is set, so based on method described in the embodiment of the present invention, those skilled in the art can understand
The specific embodiment of the electronic equipment of the present embodiment and its various change form, thus herein for the electronic equipment how
Realize that the method in the embodiment of the present invention is no longer discussed in detail, as long as those skilled in the art implement in the embodiment of the present invention
Method used by equipment, belong to the range to be protected of the invention.
Referring to Fig. 5, Fig. 5 is a kind of embodiment signal of computer readable storage medium provided in an embodiment of the present invention
Figure.
As shown in figure 5, present embodiments providing a kind of computer readable storage medium 500, it is stored thereon with computer journey
Sequence 511, the computer program 511 realize following steps when being executed by processor:
Obtain the direct broadcasting room of target user's concern in live streaming platform;
Calculate the similarity in the direct broadcasting room of target user's concern between any two direct broadcasting room;
Target described in the similarity calculation of any two direct broadcasting room in direct broadcasting room based on target user concern is used
The synchronism index at family and the normality index of the target user;
Judge the target user synchronism index and the target user normality index whether and meanwhile meet
Preset condition;
If so, determining that the target user is suspicion user, the suspicion user is brush popularity in the live streaming platform
User.
In the specific implementation process, Fig. 1 corresponding embodiment may be implemented when which is executed by processor
Middle any embodiment.
It should be noted that in the above-described embodiments, all emphasizing particularly on different fields to the description of each embodiment, in some embodiment
The part being not described in may refer to the associated description of other embodiments.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that each process in flowchart and/or the block diagram can be realized by computer program instructions
And/or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer programs to refer to
Enable the processor of general purpose computer, special purpose computer, embedded computer or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The embodiment of the invention also provides a kind of computer program product, which includes computer software
Instruction, when computer software instructions are run on a processing device, so that processing equipment is executed such as the wind in Fig. 1 corresponding embodiment
Process in the method for electric field digital Platform design.
The computer program product includes one or more computer instructions.Load and execute on computers the meter
When calculation machine program instruction, entirely or partly generate according to process or function described in the embodiment of the present invention.The computer can
To be general purpose computer, special purpose computer, computer network or other programmable devices.The computer instruction can be deposited
Storage in a computer-readable storage medium, or from a computer readable storage medium to another computer readable storage medium
Transmission, for example, the computer instruction can pass through wired (example from a web-site, computer, server or data center
Such as coaxial cable, optical fiber, Digital Subscriber Line (digital subscriber line, DSL)) or wireless (such as infrared, wireless,
Microwave etc.) mode transmitted to another web-site, computer, server or data center.It is described computer-readable to deposit
Storage media can be any usable medium that computer can store or include the integrated clothes of one or more usable mediums
The data storage devices such as business device, data center.The usable medium can be magnetic medium, (for example, floppy disk, hard disk, tape),
Optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk (solid state disk, SSD)) etc..
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory,
ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. are various can store program
The medium of code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to carry out repairing this or equivalent replacement of some of the technical features;And these
Repair this or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of method of determining suspicion user characterized by comprising
Obtain the direct broadcasting room of target user's concern in live streaming platform;
Calculate the similarity in the direct broadcasting room of target user's concern between any two direct broadcasting room;
Target user's described in the similarity calculation of any two direct broadcasting room in direct broadcasting room based on target user concern
Synchronism index and the normality index of the target user;
Judge the target user synchronism index and the target user normality index whether and meanwhile meet default
Condition;
If so, determining that the target user is suspicion user, the suspicion user is the use of brush popularity in the live streaming platform
Family.
2. the method according to claim 1, wherein appointing in the direct broadcasting room for calculating target user's concern
The similarity anticipated between two direct broadcasting rooms includes:
Obtain the concern index of the direct broadcasting room of target user's concern;
Any two direct broadcasting room in the direct broadcasting room of target user's concern is calculated by following formula based on the concern index
Between similarity:
Sim (u, v)=1 (u ∈ g, v ∈ g);
(u ∈ g, the v ∈ g of sim (u, v)=00,g≠g0);
Wherein, g is a net region in grid set G, g0It is different from the net region g in the grid set G
Net region, the grid set G are to be cut into predetermined number to each feature in the concern feature to obtain, and u is described
Any one direct broadcasting room in the direct broadcasting room of target user's concern, v are any one in the direct broadcasting room of target user concern
A direct broadcasting room.
3. the method according to claim 1, wherein in the direct broadcasting room based on target user concern
The synchronism index of target user described in the similarity calculation of any two direct broadcasting room and the normality of the target user refer to
Mark includes:
The synchronism index of the target user is calculated by following formula:
Wherein, sync (i) is the synchronism index of the target user i, and N (i) is the direct broadcasting room collection of target user i concern
It closes, j is any one direct broadcasting room in the direct broadcasting room set of target user i concern, and k is target user i concern
Any one direct broadcasting room in direct broadcasting room set, sim (j, k) are the similarity of the direct broadcasting room j and the direct broadcasting room k, | N (i)
| for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern;
The normality index of the target user is calculated by following formula:
Wherein, norm (i) is the normality index of the target user i, and N (i) is the direct broadcasting room collection of target user i concern
Close, j be the target user i concern direct broadcasting room set in any one direct broadcasting room, sim (j, k) be the direct broadcasting room j and
The similarity of the direct broadcasting room k, | N (i) | for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern, N is
Whole direct broadcasting room set in the live streaming platform, k are any one direct broadcasting room in the live streaming platform, | N | it is described straight
Broadcast the number of the direct broadcasting room in platform.
4. according to the method in any one of claims 1 to 3, which is characterized in that the preset condition are as follows:
Wherein, sync (i) is the synchronism index of the target user i, and mean_sync is all users in the live streaming platform
Synchronism index average value, var_sync is the variance of the synchronism index, and norm (i) is the target user i
Normality index, mean_norm are the average value of the normality index of all users in the live streaming platform, and var_norm is institute
The variance of normality index is stated, λ is the constant greater than 0.
5. according to the method in any one of claims 1 to 3, which is characterized in that the determination target user is to dislike
After doubting user, the method also includes:
The user in the live streaming platform is traversed, with all suspicion users in the determination live streaming platform;
The suspicion for including in each direct broadcasting room in the live streaming platform is determined based on all suspicion users in the live streaming platform
The ratio of user;
Determine that target direct broadcasting room is suspicion direct broadcasting room, the target direct broadcasting room is the ratio of suspicion user described in the live streaming platform
Example is greater than the direct broadcasting room of preset threshold.
6. a kind of device of determining suspicion user characterized by comprising
Acquiring unit, for obtaining the direct broadcasting room of target user's concern in live streaming platform;
First computing unit, it is similar between any two direct broadcasting room in the direct broadcasting room that the target user pays close attention to for calculating
Degree;
Second computing unit, based on the similarity of any two direct broadcasting room in the direct broadcasting room that the target user pays close attention to
Calculate the synchronism index of the target user and the normality index of the target user;
Judging unit, for judge the target user synchronism index and the target user normality index whether
Meet preset condition simultaneously;
Determination unit, for expiring simultaneously when the synchronism index of the target user and the normality index of the target user
When the foot preset condition, determine that the target user is suspicion user, the suspicion user is to brush people in the live streaming platform
The user of gas.
7. device according to claim 6, which is characterized in that first computing unit is specifically used for:
Obtain the concern index of the direct broadcasting room of target user's concern;
Any two direct broadcasting room in the direct broadcasting room of target user's concern is calculated by following formula based on the concern index
Between similarity:
Sim (u, v)=1 (u ∈ g, v ∈ g);
(u ∈ g, the v ∈ g of sim (u, v)=00,g≠g0);
Wherein, g is a net region in grid set G, g0It is different from the net region g in the grid set G
Net region, the grid set G are to be cut into predetermined number to each feature in the concern feature to obtain, and u is described
Any one direct broadcasting room in the direct broadcasting room of target user's concern, v are any one in the direct broadcasting room of target user concern
A direct broadcasting room.
8. device according to claim 6, which is characterized in that second computing unit is specifically used for:
The synchronism index of the target user is calculated by following formula:
Wherein, sync (i) is the synchronism index of the target user i, and N (i) is the direct broadcasting room collection of target user i concern
It closes, j is any one direct broadcasting room in the direct broadcasting room set of target user i concern, and k is target user i concern
Any one direct broadcasting room in direct broadcasting room set, sim (j, k) are the similarity of the direct broadcasting room j and the direct broadcasting room k, | N (i)
| for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern;
The normality index of the target user is calculated by following formula:
Wherein, norm (i) is the normality index of the target user i, and N (i) is the direct broadcasting room collection of target user i concern
It closes, j is any one direct broadcasting room in the direct broadcasting room set of target user i concern, and k is target user i concern
Any one direct broadcasting room in direct broadcasting room set, sim (j, k) are the similarity of the direct broadcasting room j and the direct broadcasting room k, | N (i)
| for the number of the direct broadcasting room in the direct broadcasting room set of target user i concern, N is whole live streamings in the live streaming platform
Between gather, k be it is described live streaming platform in any one direct broadcasting room, | N | for it is described live streaming platform in direct broadcasting room number.
9. a kind of electronic equipment, including memory, processor, which is characterized in that the processor is deposited for executing in memory
The method for realizing the determination suspicion user as described in any one of claim 1 to 5 when the computer management class method of storage
Step.
10. a kind of computer readable storage medium is stored thereon with computer management class method, it is characterised in that: the calculating
Machine management class method realizes the side of the determination suspicion user as described in any one of claim 1 to 5 when being executed by processor
The step of method.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112016927A (en) * | 2019-05-31 | 2020-12-01 | 慧安金科(北京)科技有限公司 | Method, apparatus, and computer-readable storage medium for detecting abnormal data |
CN112016934A (en) * | 2019-05-31 | 2020-12-01 | 慧安金科(北京)科技有限公司 | Method, apparatus, and computer-readable storage medium for detecting abnormal data |
WO2023098030A1 (en) * | 2021-12-01 | 2023-06-08 | 上海哔哩哔哩科技有限公司 | Method and apparatus for determining click-farming of live streaming room |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20030068724A (en) * | 2002-02-16 | 2003-08-25 | 엘지전자 주식회사 | Apparatus for Checking State of The Projector and Method for Displaying State of The Same |
CN102571484A (en) * | 2011-12-14 | 2012-07-11 | 上海交通大学 | Method for detecting and finding online water army |
CN105005594A (en) * | 2015-06-29 | 2015-10-28 | 嘉兴慧康智能科技有限公司 | Abnormal Weibo user identification method |
CN106973047A (en) * | 2017-03-16 | 2017-07-21 | 北京匡恩网络科技有限责任公司 | A kind of anomalous traffic detection method and device |
CN108419126A (en) * | 2018-01-23 | 2018-08-17 | 广州虎牙信息科技有限公司 | Abnormal main broadcaster's recognition methods, storage medium and the terminal of platform is broadcast live |
-
2018
- 2018-09-30 CN CN201811163287.4A patent/CN109413439B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20030068724A (en) * | 2002-02-16 | 2003-08-25 | 엘지전자 주식회사 | Apparatus for Checking State of The Projector and Method for Displaying State of The Same |
CN102571484A (en) * | 2011-12-14 | 2012-07-11 | 上海交通大学 | Method for detecting and finding online water army |
CN105005594A (en) * | 2015-06-29 | 2015-10-28 | 嘉兴慧康智能科技有限公司 | Abnormal Weibo user identification method |
CN106973047A (en) * | 2017-03-16 | 2017-07-21 | 北京匡恩网络科技有限责任公司 | A kind of anomalous traffic detection method and device |
CN108419126A (en) * | 2018-01-23 | 2018-08-17 | 广州虎牙信息科技有限公司 | Abnormal main broadcaster's recognition methods, storage medium and the terminal of platform is broadcast live |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112016927A (en) * | 2019-05-31 | 2020-12-01 | 慧安金科(北京)科技有限公司 | Method, apparatus, and computer-readable storage medium for detecting abnormal data |
CN112016934A (en) * | 2019-05-31 | 2020-12-01 | 慧安金科(北京)科技有限公司 | Method, apparatus, and computer-readable storage medium for detecting abnormal data |
CN112016927B (en) * | 2019-05-31 | 2023-10-27 | 慧安金科(北京)科技有限公司 | Method, apparatus and computer readable storage medium for detecting abnormal data |
WO2023098030A1 (en) * | 2021-12-01 | 2023-06-08 | 上海哔哩哔哩科技有限公司 | Method and apparatus for determining click-farming of live streaming room |
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